a study of emissions and cost minimization for the new york state

Transcrição

A STUDY OF EMISSIONS AND COST MINIMIZATION FOR
THE NEW YORK STATE POWER SYSTEM AND A
MAPPING BETWEEN PTID AND EIA FACILITY CODES
A Design Project Report
Presented to the Engineering Division of the Graduate School
Of Cornell University
In Partial Fulfillment of the Requirements for the Degree of
Master of Engineering (Electrical)
By
Abigail J. Krich
Project Advisor: Professor Robert J. Thomas
Degree Date: August 2006
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Abstract
Master of Electrical Engineering Program
Cornell University
Design Project Report
Project Title: A STUDY OF EMISSIONS AND COST MINIMIZATION FOR THE
NEW YORK STATE POWER SYSTEM AND A MAPPING BETWEEN PTID AND
EIA FACILITY CODES
Author: Abigail J. Krich
Abstract:
As concerns over acid rain, global warming, and asthma are increasingly in the
public eye, regulations on emissions reductions from electricity generation have become
increasingly stringent. There are many methods for emissions reductions requiring
capital expenditures and moderate to long lead times. There is also a method for
immediate, capital-free reductions through a modified dispatching method that
minimizes emissions, possibly while obeying certain cost constraints, rather than
minimizing costs only while obeying certain emissions constraints.
The New York Power System is explored in this project and a variety of plant
data from publicly available and non-publicly available sources is compiled and used in
preliminary attempts at different emissions minimization and economic dispatch
methods for the State. The cost penalties for the various options and the emissions
reductions that can e achieved are explored.
Report Approved by
Project Advisor:
Date:
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Table of Contents
1. The New York State Power System
2. Emissions
2.1. Carbon dioxide
2.2. Sulfur Dioxide
2.3. Nitrogen Oxides
2.4. Mercury
3. Intermittency of Renewable Generators
4. The Data Sets
4.1. FERC Form 715 Data from the NYISO
4.2. EPA’s eGRID
4.3. NYISO Load and Capacity Data
4.4. New York State Generator Data Provided by Professor Thomas
4.5. Master’s of Engineering Design Project by Ivan Francisco Cabral Trujillo
4.6. Seams Model
4.7. TCC Auction Data
5. Data Quality control – eGRID
6. Estimating generator marginal costs
7. Mapping PTID to EIA Codes
8. Lambda Search on eGRID Data
9. PowerWorld Software
10. PowerWorld Economic Dispatch Solutions
11. Conclusions
12. References
List of Figures
Figure 1 - New York State electricity generation by fuel type, 2005. Src:
http://www.nyiso.com/public/company/about_us/index.jsp
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Figure 2 - U.S. electricity generation by fuel type, 2004. Src:
http://www.eia.doe.gov/cneaf/electricity/epa/figes2.html
Figure 3 - Map showing zonal loads and interface flows in New York State. Src:
http://www.nyiso.com/public/market_data/zone_maps.jsp
Figure 4 - Real Time zonal locational based marginal pricing showing New York zones.
Src: http://www.nyiso.com/public/market_data/zone_maps.jsp
Figure 5 - Forecast zonal loads showing typical summer daily load profile. Src:
http://www.nyiso.com/public/market_data/graphs.jsp
Figure 6 - Net summer generator capacity from 1993 to 2004. Src:
http://www.eia.doe.gov/cneaf/electricity/epa/epaxlfile2_1.xls
Figure 7 - Planned nameplate capacity additions by fuel type from 2005 through 2009.
Src: http://www.eia.doe.gov/cneaf/electricity/epa/epaxlfile2_4.xls
Figure 8 - New York State NOx, SOx, and CO2 emissions contributions by fuel type in
2004. Src: http://www.eia.doe.gov/cneaf/electricity/epa/emission_state.xls
Figure 9 - NYISO tie-line map and summary of seams project model data
Figure 10 - Fuel costs as a percentage of electric utility operating costs. Src:
Figure 11 - Average fuel/total operation and maintenance expense ratio for major U.S.
investor owned utilities in 2004. Src:
Figure 12 - Comparison of total cost for various loads, optimizations
Figure 13 - Comparison of total CO2 emissions for various loads, optimizations
Figure 14 - Comparison of total SO2 emissions for various loads, optimizations
Figure 15 - Comparison of total NOx emissions for various loads, optimizations
List of Tables
Table 1 - Bus count and bus voltages from NYISO 10 year light load base case data file.
Table 2 - Barrett plant data from various sources
Table 3- Holtsville plant data from various sources
Table 4 - Union Ave/Flynn station data from a variety of sources
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Table 5 - Niagara County generator data from various sources
Table 6 - Moses station data from various sources
Table 7 - Gilboa station data from various sources
Table 8 - Longlane and Feurabush generator data from various sources
Table 9 - Independence station data from various sources
Table 10 - Carr St station data from various sources
Table 11 - JFK station data from various sources. The first PTID is from the PTID map
file, the second is from the NYISO capacity report. Though they do not match, the
generators appear to be the same.
Table 12 - "Extra" generation in the seams model and its location
Table 13 - Average fuel costs by fuel type calculated by two different methods
Table 14 - PTID to EIA Code Map
Table 15 - eGRID generators sorted by calculated marginal cost. The yellow line shows
the marginal unit for summer base load, the blue line for winter peak load, and the red
line for summer peak load
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1. The New York State Power System
New York state is served by eight major New York Transmission Owners
(NYTO’s). They are Central Hudson Gas & Electric Corporation, Consolidated Edison
Company of New York, Long Island Power Authority, New York Power Authority,
New York state Electric and Gas Corporation, Niagara Mohawk -A National Grid
Company, Orange & Rockland Utilities Inc., and Rochester Gas & Electric Corporation.
When the State’s power system was deregulated in the late ‘90’s, the previously
vertically integrated utilities had to divest themselves of their generation assets. Now,
the NYTO’s own the power lines but the power itself comes from energy service
companies which own the generation assets.
To manage the deregulated system, Independent System Operators (ISO’s) were
sanctioned by the Federal Energy Regulatory Commission (FERC) for the purpose of
managing the transmission component of the restructured power system. The ISO owns
no generation, transmission, or load, and is thus an independent, unbiased body that can
run the system fairly in theory.
According to their website, the New York Independent System Operator
(NYISO) exercises operational control over most of the State’s transmission facilities to
maintain short term reliability, administer the ISO Transmission Tariff and implement
and operate New York’s Open Access Same-Time Information System (OASIS). They
were formed in 1998 when New York’s electric power industry was restructured,
formed out of what was then the New York Power Pool. The NYPP was initially created
by New York’s eight largest electric utilities following the Northeast Blackout of 1965
to reduce the probability of another major power outage. As numbers of non-utility
generators grew due to FERC rulings, the NYPP made moves towards open,
nondiscriminatory access to the transmission system by forming the NYISO. Their
mission was “to facilitate fair and open competition in the wholesale power market and
create an electricity commodity market in which power is purchased and sold on the
basis of competitive bidding.” [1]
The NYISO serves the state of New York, 47,225 square miles of territory with
19,160,000 people. The total load in 2004 was 160,209 GWh. It is a summer peaking
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system with a summer record peak load of 32,075 MW in 2005 and a winter record peak
load of 25,540 MW. The NYISO manages 10,775 miles of high voltage transmission
lines at voltages of 115 kV, 138 kV, 230 kV, 345 kV, and 765 kV. They model over 335
generators in the State of New York feeding power into those lines and require 37,524
MW of installed capacity to operate the system reliably [1].
The fuel mix of generators in New York does not follow the U.S. norm of
roughly half coal. Shown in Figure 1 and Figure 2 respectively are the New York and
U.S. electricity generation breakdowns by fuel type. Nuclear and hydro both contribute
to New York State’s power significantly above the national average.
Figure 1 - New York State electricity generation by fuel type, 2005. Src:
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Figure 2 - U.S. electricity generation by fuel type, 2004. Src:
http://www.eia.doe.gov/cneaf/electricity/epa/figes2.html
The NYISO uses a hybrid nodal-zonal method for determining market prices for
electricity. While generators are paid based on the locational based marginal price
(LBMP) at their particular node, loads are charged the average nodal price in their zone.
The NYISO has divided the state into 15 zones for the purposes of determining these
zonal prices [10].
New York is also interesting in the distribution of the load and generation centers
throughout the state. Figure 3 shows the zones the State’s power system has been broken
into along with the load and interface flows mid day on July 22, 2006. What can be seen
is that over half of the State’s demand is in the areas around New York City and Long
Island. This puts a significant strain on the transmission system as the cheaper power
produced Upstate is brought down to the city. The transmission lines bringing power
downstate frequently become congested and cause significant nodal price differences
between Upstate and Downstate. At the time this figure was created, the flow on the
interface between Upstate NY and the ConEd region around New York City was 3 GW,
almost the full load of Long Island.
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Figure 3 - Map showing zonal loads and interface flows in New York State. Src:
http://www.nyiso.com/public/market_data/zone_maps.jsp
What this disparity leads to is significant price differences throughout the State.
Figure 4 shows the real time zonal locational based marginal prices for the regions of the
state. Long Island has the most expensive power at almost $80/MWh while the western
region has a price just under $53. The congestion on the lines causes generators to be
dispatched out of their economic order based on their location. Even if all the power for
New York City and Long Island could be produced more cheaply in Western and
Northern New York, due to limitations on transfer capacity, the City cannot utilize all of
it but rather must turn on more expensive generators closer by that are connected to
uncongested lines.
What can also be seen in Figure 3 is the interfaces between New York State and
the surrounding power systems. PJM to the south, ISO New England (ISONE) to the
east, Hydro Quebec (HQ) to the North, and Ontario Independent Market Operator (IMO)
to the West.
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Figure 4 - Real Time zonal locational based marginal pricing showing New York
zones. Src: http://www.nyiso.com/public/market_data/zone_maps.jsp
The typical load pattern in New York is shown in Figure 5. For July 22, 2006 it
shows the predicted load throughout the day for each of four zones of the State. While
the load itself varies between zone, the pattern is typical. It shows load decreasing from
about 9pm through 5am, increasing until about 11am, remaining stable and then slightly
decreasing around 6pm with a small increase around 8pm. Even at the low point at
night, there is still power being consumed, This is considered the base load and can be
supplied by generators that produce power less expensively and do not change their
output level easily. The generation needed to make up for the difference between
daytime and nighttime load would be considered load following and is typically
provided by generators that can change their output over a period of tens of minutes to
an hour. The very high points of the load would be supplied by peaking generators.
These are typically the most expensive and only run a small fraction of the time but are
necessary to supply the load at peak times. If one were to look at the actual load, it
would not appear as smooth a curve as this predicted load. The small variations and
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quick changes would need to be supplied by regulating generators, or regulating services
from generators that are already running. As there is no storage in the system, electricity
supply must match demand or voltage and frequency instabilities will occur.
Figure 5 - Forecast zonal loads showing typical summer daily load profile. Src:
http://www.nyiso.com/public/market_data/graphs.jsp
2. Emissions
The standard approach to reducing emissions is to clean the emissions out of the
flue gases. This has an associated cost and varying level of effectiveness. An alternate
approach is to build new power plants with lower emissions rates. Error! Reference
source not found. and Figure 7 show the US net summer capacity by fuel type and the
predicted capacity additions by fuel type. Though carbon emissions are a growing
concern and it can be seen that coal plant capacity has decreased over the last few years,
it is predicted that coal fired power plants will quickly resume being built again. Though
it is not clear exactly how this prediction was made, our electricity demand keeps rising
and coal is the most abundant domestic fossil fuel source.
The State of New York is supporting development of a variety of renewable
energy projects for this reason precisely. As the renewable energy generation is typically
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more costly than traditional generation, there is again an additional cost associated with
this method of reducing emissions. A third approach to emissions reduction would be to
dispatch existing plants based on either an emissions cap or through an emissions
minimization scheme. Rather than the standard method of dispatching plants based
primarily on minimizing costs, this method would minimize emissions from plants while
considering the same security and reliability constraints observed by the cost
minimization dispatch. Because the generators are no longer being dispatched based on
their economics, more expensive but cleaner generators will be turned on sooner and
higher than they might have in the classic approach. This associated cost would be the
cost penalty of reducing emissions in this manner.
Of the three options, this last options would have the least lead time for
implementation if the State of New York wanted to reduce emissions as quickly as
possible. It is the only method that does not require new construction to implement.
Later sections of this paper describe this method in further detail and its possible results
for New York.
Figure 6 - Net summer generator capacity from 1993 to 2004. Src:
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Figure 7 - Planned nameplate capacity additions by fuel type from 2005 through
2009. Src: http://www.eia.doe.gov/cneaf/electricity/epa/epaxlfile2_4.xls
Figure 8 shows the contribution to three New York State emissions by fuel type.
Each of these emissions is regulated and mitigated in a different manner.
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Figure 8 - New York State NOx, SOx, and CO2 emissions contributions by fuel
type in 2004. Src: http://www.eia.doe.gov/cneaf/electricity/epa/emission_state.xls
2.1 Carbon dioxide
Though not currently regulated in the United States, the ratification of the Kyoto
Protocol by other developed nations and the increasing concern about global climate
change have led the electric power industry to include carbon dioxide emissions caps in
many of their forecasts.
Different fuels emit different levels of carbon dioxide. While coal used to
produce electricity releases approximately 94.31 million metric tons of carbon dioxide
per quadrillion Btu, petroleum emits roughly 62.75 and natural gas emits only 52.79 [2].
Even this is simplistic, as different types of coal have different compositions and thus
lead to varying emissions rates. According to the EIA Annual Energy Report, carbon
dioxide emissions for coal can range from 201 pounds per million BTU for Iowa
Bituminous coal up to 218 for North Dakota Lignite coal [6]. The eGRID database
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accounts for the sourcing of fuel due to its reporting of MBtu and tons of emissions.
Hydro, nuclear, and wind or solar clearly do not emit any carbon dioxide.
2.2 Sulfur Dioxide
Both the Clean Air Interstate Rule (CAIR) and the Clean Air Act Ammendments
of 1990 (CAA90) limit sulfur dioxide emissions in New York State. CAIR limits the
annual nationwide SO2 emissions to 3.6 million tons beginning in 2010 and 2.5 million
tons starting in 2015. Currently, generators must comply with CAAA90. The DOE
assumes utilities will comply with the CAAA90 by retrofitting units with flue gas
desulfurization equipment, transferring or purchasing sulfur emissions allowances,
operating high sulfur coal units at a lower capacity utilization rate, or switching to lowsulfur fuels.
Flue Gas Desulfurization units (FGD) are estimated to cost between $179/kW for
a 700MW coal plant and $282/kW for a 300MW coal plant [2].
2.3 Nitrogen Oxides
EPA has developed a two-phase nitrogen oxide program, the first phase applied
in 1996 and the second in 2000. Uncontrolled emissions rates for coal fired boilers is
between 0.6 and 1.0 pounds NOx per million Btu. The new standards are 0.11 pounds
per million Btu for conventional coal, 0.02 for advanced coal or combined cycle, and
0.08 for combustion turbines. In addition, the EPA has capped emissions in 22 Eastern
and Midwestern states in the summer. New York has an emissions cap of 31.04
thousand tons per summer season.
Various technologies are available to reduce NOx emissions. Examples would be
advanced overfire air, selective catalytic reduction, and slagging. The amount that these
are able to reduce NOx emissions are 30%, 70%, and 20% respectively. Selective
catalytic reduction (SCR) can remove nitrogen oxides from flue gases at a cost of
$92/kW for a 700MW plant and $116/kW for a 300MW plant.
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2.4 Mercury
The Clean Air Mercury Rule (CAMR) establishes a cap-and-trade program for
mercury emissions. The regulation specifies a limit of 38 tons beginning in 2010 and 15
tons beginning in 2018. Equipment to remove mercury from flue gas is estimated to cost
$4-$60 per kW of capacity depending upon the technique used [2].
3. Intermittency of Renewable Generators
Geothermal electricity generation has a high capacity factor similar to fossil fuel
plants at 0.95, landfill gas follows at 0.90, and biomass follows behind at 0.83. All other
renewables are intermittent by season or even by day, and cannot be scheduled in the
same manner as traditional generators. Least-cost hydro facilities in the North West have
capacity factors of 0.64, solar thermal plants have 0.31 capacity factors, excellent wind
sites have capacity factors of approximately 0.44 and photovoltaic capacity factors hit a
high around 0.21 [2]. Though there are efforts with the New York State Renewable
Portfolio Standard to increase the fraction of electricity generated in New York by
renewable energy sources to 25% by 2013, there are many operational hurdles that must
be dealt with to achieve this. Intermittency and relatively low capacity factors for these
generators is the main concern of the NYISO.
4. The Data Sets
4.1 FERC Form 715 Data from the NYISO
Any transmission utility that operates integrated transmission facilities at or
above 100kV must file form number 715 with the Federal Energy Regulatory
Commission (FERC) on an annual basis. It provides information about potential
transmission capacity and known constraints [7]. In addition to transmission maps and
one-line diagrams FERC form 715 submissions include solved power flow base cases
16
that the utility would ordinarily use as the starting point for its transmission planning
studies.
The data contained in FERC form 715 is considered Critical Energy
Infrastructure Information (CEII) and is thus no longer made publicly available. The
NYISO makes the portion of its form 715 that they do not consider to be restricted
information available on their website. This consists mainly of an introduction and
section headers with no content. To gain access to the maps, diagrams, and base cases,
one must apply for authorization and pay a small fee in addition to signing a non
disclosure agreement. For that reason, I am unable to include any data or maps contained
in the FERC form 715 information, though there is discussion of how this data correlates
with other data sources.
Part 2 of the FERC Form 715 report contains power flow base cases. NYISO
included six base cases in their 2005 filing: a winter 2004/2005 weak load, summer
2005 peak load, spring 2010 light load, summer 2010 peak load, winter 2010/2011 peak
load, and summer 2015 peak load. For purposes of this report, we were able to obtain
the summer 2010 peak load and a spring 2010 light load base cases. These cases
represent the planned transmission system and forecasted system conditions based on
NYISO simulations and approved generation and transmission facility upgrades or
construction. The summer peak load represents a coincident statewide peak load. This is
lower than the sum of peak loads in each of the State’s regions because the individual
peak loads generally do not occur at the same time. The spring light load represents a
load level equal to 45% of the statewide coincident summer peak load level [8].
As stated in the NYISO filing, the power flow base cases are in RAWD data
format of the Power Technologies, Inc. (PTI) Power System Simulator for Engineering
(PSS/E) load flow program (version 28). The cases have been solved using the fixedslope decoupled Newton iterative algorithm with stepping transformer taps, area
interchange and phase shifters engaged, switched shunts and DC line taps unlocked, and
VAR limits applied immediately.
As required by FERC, the NYISO provides a data dictionary containing a listing
of bus names and numbers from the summer 2010 peak load case with corresponding
full names for each bus. There is also a second data dictionary containing the Energy
17
Information Administration (EIA) plant codes for the generating plants and the full
names of the associated generators. This data dictionary was not initially provided with
out data, and could have relieved many hours of work attempting to correlate
abbreviated bus names in data files with the EIA codes provided in the EPA files
described below. Two weeks before finishing this project, these data dictionaries were
provided. While they proved useful in better understanding some of the more obscure
name abbreviations, the names between the two lists do not match so it did not relieve
the effort of creating a map between the various data sets.
A one-line diagram showing the major transmission lines and substations is
included for each of the eight NYTO’s. Additionally, a map of the New York Power
Pool from 1993 is included without any modification. While these diagrams and maps
contain a significant amount of information, they proved to be less than helpful in this
project. The naming conventions on the maps and diagrams do not match the naming
conventions used in the data files making it incredibly difficult to identify components
between the two. While line voltages are included on the map, line limits are not. Given
the original purpose of this project to perform an OPF on the New York State power
system, line limits are a critical component.
The software package we had for use on this project is the PowerWorld software
described in a separate section of this report. The educational package we had access to
has a limit of 7,000 buses. Even the full version of PowerWorld has a 60,000 bus limit.
The raw data file provided by the NYISO with base case information contained 45,542
buses of which 5,544 were marked as generator buses. We were not able to open this file
with our limited version of PowerWorld given the size. Due to this constraint, the only
analysis done with this data was in Excel. Even to import this data into Excel was tricky
due to Excel’s limit on number of lines it will import. The data first had to be opened in
a text editor and saved as a text only file. It then had to be imported into Excel in 40,000
line increments and separated into different worksheets.
Interpreting the data from the raw data file proved to be difficult without
knowledge of PSS/E, the program that generated the file. PTI does not publish user’s
manuals and after contacting them, they were not willing to share a user’s manual with
me for the purposes of interpreting the meaning of the data in the file I had been given.
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However, I was able to obtain a PSS/E manual from a colleague and use that to
determine the meaning of the fields in the various sections.
Once the data was in Excel, another concern with the data arose. As mentioned
above, the base case included 5,544 generator buses while there are only approximately
350 generating plants in the State. We have not been able to determine thus far what the
discrepancy is and why so many buses in the base case are labeled as generators. It is
possible that some generating plants have multiple connection points accounting for
increased numbers of generator buses. It is also possible that each generator is modeled
in the base case, some generating plants having more than half a dozen generators. Even
this would not account for the number of generator buses in the base case, as there are a
total of roughly 750 generators in the State. We have hypothesized that other
possibilities are that loads involved in a demand response program could be modeled as
generators, though we have not confirmed this nor do we believe the demand response
program in the State to be this large.
We were further concerned with the large total number of buses in the base case.
While it should only have covered transmission facilities, we thought that given the
number of buses it might go all the way to the distribution level. After counting the data,
we found the distribution of bus voltage levels shown in Table 1. 12,604 of the buses
were found to be under 69kV. Some buses had a zero voltage listing and one even had a
voltage of 2,636 – a bus name ‘SWPACAP5.’ It is difficult to believe that any bus in
New York State has a voltage this high, making it difficult to interpret this data set
without the program in which it was created or an explanation from its creator. Though
this data set is likely the most complete and accurate in terms of modeling the State’s
power system, it proved to be of little use due to the lack of a document allowing for
identification of buses and generators and due to its size being too large for the software
package we had.
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Table 1 - Bus count and bus voltages from NYISO 10 year light load base case data
file.
# buses
# gen buses
# buses under 69kV
# buses 69kV or greater
lowest voltage bus
highest voltage bus
45,542
5,544
12,604
32,930
21,438
14,210
7,041
4,253
1,441
476
0
2,636
4.2 EPA’s eGRID
The EPA’s Emissions & Generation Resources Integrated Database (eGRID)
was the data set that let to this project’s formulation. According to their website, eGRID
is a database that provides information on the air quality attributes of almost all of the
electric power generated in the United States. eGRID integrates 24 different federal data
sources on power plants and power companies from three federal agencies: the EPA, the
EIA, and FERC.
Broken down by generating stations, boilers, and generators and with dozens of
fields for each component, there is a wealth of information about the generators. For
every power plant in the country, eGRID provides a detailed emissions profile covering
total and per MWh emissions of nitrogen oxides, sulfur dioxides, carbon dioxide, and
mercury. Also of use, eGRID provides fuel type and heat rate for each plant as well as
breakdowns by fuel for multi-fuel plants. Multiple years of data are available but this
project focused only on the most recent data available, the 2000 data set. Data through
2004 is scheduled to be posted in the Fall of 2006.
Initially sorting the data to include only those plants in New York State, eGRID
shows there to be 319 generating plants in the State with 785 generators. For each
generator or plant it gives the plant name and the EIA plant code to ensure the data can
be matched with outside sources. The total capacity of New York generators listed in
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eGRID is 38,503MW. eGRID lists only nameplate capacity, not summer and winter
ratings.
4.3 NYISO Load and Capacity Data
Each year the NYISO publishes a Load & Capacity Data report. Prior to the
NYISO’s formation, the NYPP published a similar report in print form. The Load &
Capacity Data report presents the NYISO forecasts of peak load, energy requirements
and emergency demand response program, existing generating capacity and planned
changes, existing and proposed transmission, and normal power transfer limits. This
report is available to download from the NYISO website. The 2005 report was used in
this study, though the 2006 report has been released in the meantime. Section III,
Existing Generating Capacity as of April 1, 2005 lists all generators in the State
(hereafter referred to as the NYISO list) by name and owner along with their location by
town, in service date, summer and winter capacity, generator type and fuel type. It also
has incomplete information on the net energy produced by the generator the previous
year. All generators are assigned a PTID by the NYISO which is given in the NYISO
list. The PTID is an identification number used in the ORACLE based Database
Management System used by the NYISO. There is no publicly available mapping to
correlate PTID’s with the bus numbers used in the form 715 power flow cases.
Correlating the generators on the NYISO list with those on the eGRID list was
not an easy task given that they do not contain a common identification scheme. Names
are often changed as plant ownership changes and the same plant may be referred to by
multiple names based on their ownership, location, or given name. To complicate
matters further, the names are often given as abbreviations. The majority of time spent
on this project was spent attempting to create maps between the plants in the various
data sets, a task that seems frivolous given that the NYISO surely has a map between
their PTID’s and the EIA identification codes. The efforts at creating such a map
between the data sets is described in its own section.
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The total summer capacity in the NYISO list is 37,548MW while the winter
capacity is 39,655MW. This is slightly below and above what is listed in the eGRID
data, making it a seemingly complete and reasonable set.
4.4 New York State Generator Data Provided by Professor Thomas
Professor Thomas had a spreadsheet of data compiled by his graduate students
presumably from the previous NYPP annual capacity reports. The list contains 332
generators, just under half of the number listed by eGRID. 157 of those generators were
not able to be matched with eGRID generators based only on name, size, and fuel type.
67 generators have average heat rates listed; an incomplete listing of average heat rates
was given in the NYPP data books. While the majority of the heat rates were within
20% of those given by eGRID, there are a number of anomalies. The Keyspan oil
generating plant in Suffolk County has a heat rate listed by eGRID of 1,175,566 whereas
the heat rate given in this data set is 15,256. I can only presume that there was a data
entry error in the eGRID data for this plant. Then there is the Shoemaker natural gas
plant in Orange County that has a heat rate of 19,000 in this data set and one of 27,681
given by eGRID. Neither one seems implausible though they are very different.
Glenwood gas oil fired plant in Nassau County has a similar situation with heat rates
listed as 17,197 and 24,915. Given the disparities and incompleteness, I did nothing
more with this data set than make these comparisons.
4.5 Master’s of Engineering Design Project by Ivan Francisco Cabral Trujillo
In 1999, Ivan Cabral completed a Master’s of Engineering project entitled
“Using Negative Generators to Model Elastic Loads and Maximize Social Welfare
Using a Standard Optimal Power Flow” under the advising of Professor Robert Thomas.
As part of the project, Ivan used data from the New York Power Pool to create a oneline diagram of the system for several load cases and used some of those cases to
conduct power flow simulations. The one-line diagrams were created in the PowerWorld
22
software package. Professor Thomas shared the PowerWorld files with me as a possible
source of system data for this project.
In his design project report [4], Ivan expresses the difficulty that he had in
obtaining complete system data. Though the data file he had obtained from the NYPP
contained information on six areas, the one-line diagram contained explicit data only for
the NYPP area. This single area was thus the only area that appears in his PowerWorld
representation. Most of the transmission lines in his original data set from the NYPP did
not contain line limit information. Only the NYPP lines had restrictions given, making
accurate determinations of all line violations impossible.
Ivan was also given economic data consisting of bid information for generators
and loads. However, only 247 of the generators had economic information. Of those,
only 235 had identifying PTID information that allowed for them to be matched with the
generators in the case files. The total number of generators in the case files was 1,304.
The economic information provided drastically fell short of being complete.
Any generators without economic information in PowerWorld are automatically
assigned a default power curve. To deal with this, for the generators without given
economic information, Ivan fixed their power output and operating costs.
While I was hoping to be able to build from Ivan’s work, the difficulty of filling
in the missing information in his model was immense. The first task of matching buses,
lines, and generators in his model with the data I had been given was next to impossible
to do completely. Even were it possible, Ivan’s model had roughly 30,000 buses, making
entry of missing information by hand an unreasonable task.
4.6 Seams Model
As part of a research project with the NYISO, the E3RG research group run by
Professor Thomas was given a model (the seams model) of the power system of New
York and surrounding areas by the NYISO for late 2003 capacity and loads. The
purpose of the original project was to look at issues of how the various ISO’s and
utilities interfaced with each other and how power flowed over the ‘seams’ between the
various systems.
23
The seams model contains 3,058 buses, 1340 generators, 2,946 loads, 7,177 lines
and transformers, 12 control areas, and 22 zones. It has a system load of 384,804MW
and a New York State load of 19,838MW, half way between the base load and the
winter peak. Figure 9 was a diagram created as part of this seams project showing the tie
lines between NYISO and the surrounding areas as well as the number of buses used to
represent each. The NYISO is represented using 846 buses and 42 tie lines connecting
New York to the neighboring areas.
Figure 9 - NYISO tie-line map and summary of seams project model data
Along with the seams project files was an Excel file named Gen_PTID_BUS.xls
which appears to map the seams project bus numbers to NYISO PTID numbers.
Opening this file and comparing it with the generator information spreadsheet created by
PowerWorld from the seams project they are very similar, almost identical. Most of the
names and buses match up, but there are a few discrepancies. For example, the
PowerWorld-generated generator information lists the Farrckwy plant as the only
24
generator at bus 9. The Gen_PTID_BUS file lists a second generator at bus 9 labelled
FPL_FAR_ROCK_GT2. In the Generated-generated list, there is no generator by this
name at all.
There are 312 generators in New York given in the seams model. Initially,
adding up the generators in the NYISO area in the seams data set, the total capacity
comes to 57,486MW. This is far too high to be reasonable, roughly 40% higher than the
reality of just under 40,000MW. Upon further inspection, the Marcy bus is given a max
MW capacity of 9,999MW in the seams model. This is clearly the swing bus, not a ten
gigawatt generator. Removing the Marcy bus from the calculation, the model counts
47,487MW of capacity. This value is closer, but still about 8,000MW higher than
reasonable. The following discussion details where this extra generation was identified
and the process of correlating generators from the seams model with those of the other
data sources.
All generators in PowerWorld are identified by their bus number, name, and ID.
The ID for the vast majority of the units is numeric. The first generator on the bus gets
an ID of one. If there is a second or third generator of the same name on the same bus, it
receives a two or a three for its ID. If multiple generators in a plant are connected to the
same bus, this would be the case. However, there are a select number of generators with
an alphabetical ID’s. Some are labeled consecutively from A through L. Another seven
have an ID of T. If only the generators with an ID of T are also excluded, the capacity
comes to 41,103MW. If all alphabetical ID generators are excluded, the capacity comes
to 39,101, right in the reasonable range. It is possible that excluding these generators is
the appropriate thing to do.
First examining the Barrett plant, Table 2 shows the relevant data from the
PowerWorld model, the matching PTID’s from the GenPTID_BUS.xls file, and the
winter capability listed by NYISO in their 2005 capacity report. The total Barrett
capacity according to the seams model is 1,024MW. The winter capacity listed by
NYISO is 756MW and the summer capacity listed by NYISO is 709MW. The capacity
listed by eGRID for the 14 generators at the Barrett plant is 661MW. Obviously there is
not an exact number we can assume to be correct but it is clear the seams model is
overestimating. All generators but the D and L generators roughly match the NYISO
25
listed capacity. D and L are the only two generators with an open status in the seams
model meaning that these generators were not turned on. I am unsure of the connection,
though it is interesting. If D and L were both set to the NYISO listed capacity, the
Barrett capacity in the seams model would become 754MW, right where it should be.
Table 2 - Barrett plant data from various sources
Barrett Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
2
BARRETT
1
Closed
193.8
3
BARRETT
1
Closed
196
4
BARRETT
A
Closed
50.3
4
BARRETT
B
Closed
51.6
4
BARRETT
C
Closed
51.1
4
BARRETT
D
Open
186
4
BARRETT
E
Closed
21.4
4
BARRETT
F
Closed
20
4
BARRETT
G
Closed
20
4
BARRETT
H
Closed
19.1
4
BARRETT
I
Closed
19
4
BARRETT
J
Closed
20
4
BARRETT
K
Closed
20
4
BARRETT
L
Open
156
PTID from GenPTIDBUS.xls
23545
23546
23700
23701
23702
23703
23704
23705
23706
23707
23708
23709
23710
23711
Winter capability (MW
from NYISO list)
196.5
195.7
50.8
52.2
48.7
51
20.5
20.6
19.7
19.8
20.2
20.3
19.2
20.6
Next the Holtsville plant is examined in the same way. Table 3 shows that all but
generators E and J closely match the capacity values listed by the NYISO. Generator E
is listed in the seams model as 323MW but by NYISO as 63.8MW. The seams model
capacity, the NYISO winter capacity, the NYISO summer capacity, and the eGRID
capacity for the full plant are respectively 1,184MW, 648MW, 527MW, and 567MW.
Again, generators E and J are the only ones listed as open in the seams model. If these
were set to the NYISO vales, the plant would be in line with the external data.
Table 3- Holtsville plant data from various sources
Holtsville Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
15
HOLTSVLE
A
Closed
63
15
HOLTSVLE
B
Closed
64.3
15
HOLTSVLE
C
Closed
67
15
HOLTSVLE
D
Closed
68
15
HOLTSVLE
E
Open
323
1583
HOLT_8KU
F
Closed
67
1583
HOLT_8KU
G
Closed
65.2
1583
HOLT_8KU
H
Closed
69
1583
HOLT_8KU
I
Closed
65.3
1583
HOLT_8KU
J
Open
332
23690
23691
23692
23693
23694
23695
23696
23697
23698
23699
from NYISO list)
63.3
63.7
64.2
63.7
63.8
64.2
70.2
60.7
67.3
67
26
There is a generator in the seams model with the name UnionAve and the ID K.
This is interesting given that it does not appear to have any relation to another generator
so one would expect it to have the ID of 1. Matching the bus numbers,
Gen_PTID_BUS.xls shows this to be a plant named NYPA_HOLTSVILL, explaining
why it has an ID of K. Matching the PTID between this file and the NYISO capacity list
shows this to be a plant named Flynn in the town of Holtsville. Both the seams and
NYISO winter capacity are reasonably close to each other at 184MW and 165MW
respectively as shown in Table 4.
Table 4 - Union Ave/Flynn station data from a variety of sources
Flynn Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
1432
UNIONAVE
K
Closed
183.7
1432
from NYISO list)
165
The remaining seven alphabetic ID generators in the seams model in the NYISO
area have the ID of T. Exploring the first one leads to quite a few complications. It is
named Niagara and has a capacity listing of 3,044MW. Table 5 shows this generating
unit as well as all others in Niagara County. By matching PTID’s and bus numbers, AES
Somerset is found to be labeled Kintigh in the seams model. Model City Energy is found
to be labeled Sandborn. Lockport Cogen appears to be both the generators labeled
Lockport and Harsnrad. With these matches made, the generating capacity matches up
between the model and the NYISO listings.
27
Table 5 - Niagara County generator data from various sources
Niagara County Generator Info From Seams Powerworld Model
PTID from
Bus No.
Name
ID
Status
Max MW
NYISO name
GenPTIDBUS.xls
359
KINTIGH
1
Closed
693
Somerset
23543
431
SANDBORN
1
Closed
5.67
Model City Energy
24167
289
HARSNRAD
1
Closed
205
Lockport Cogen
23791
407
LOCKPORT
1
Closed
18
23791
426
PACKARD
1
Closed
40
American Ref-Fuel 1 and 2
24010
427
PACKARD
1
Closed
95
?
23895
427
PACKARD
2
Closed
56.9
WPS Niagara
23895
410
MORTIMER
1
Closed
3
Glenwood1-3, Oak Orchard, Waterport 1-2
24046
405
NIAGARA
1
Closed
86
Lewiston PS
23760
405
NIAGARA
2
Closed
84
Moses Niagara
23760
406
NIAGARA
1
Closed
87
406
NIAGARA
2
Closed
84
417
NIAGARA
1
Closed
21.4
418
NIAGARA
T
Closed
3044
419
NIAGARA
1
Closed
573
421
NIAGARA
1
Closed
761
422
NIAGARA
1
Closed
573
423
NIAGARA
1
Closed
573
Brascan Power - Hydraulic Race
23848
Winter
capability
(MW from
682
5.5
217
40
?
50
4
240
2433
2.3
The generators labeled Packard in the seams model match by bus and PTID with
American Ref Fuel 1 and 2 and WPS Niagara. The first Packard unit on bus 426
matches exactly with the two American Ref-Fuel units. There are two Packard
generators listed at 95, and 57MW on bus 427 while there is only one matching PTID
for WPS Niagara listed at 50MW. I would assume it matches with the second of the two
Packard units, leaving the first one unidentified. The Mortimer generator in the seams
model matches by bus and PTID as well as rough size with Glenwood 1 through 3, Oak
Orchard, and Waterport 1 and 2.
Bus 405 of the seams model has Niagara 1 and 2 at 86 and 84MW. This matches
by PTID with both the Lewiston PS unit at 240MW and the Moses Niagara unit at
2,433MW. There are also eight other units named Niagara in the seams model at other
buses with no matching PTID summing to 5,716MW. One of these eight has an ID of T.
If that is removed, the seven remaining sum to 2,672MW. My assumption is that both
Niagara units at bus 405 match the Lewiston PS unit and the seven remaining
numerically identified Niagaras match Moses Niagara. The Niagara T unit appears to be
some kind of rough total Niagara value. All units labeled Niagara in the seams model
besides the Niagara T unit sum to 2,842MW, just shy of the 3,044MW listed by the
Niagara T unit.
28
The last generator listed by NYISO in Niagara County is Brascan Power’s
Hydraulic Race. I am unable to find any match for it in the seams model by PTID or
name but as it is only 2.3MW it is not a concern.
Moving on to the next generator with a T ID we get to Moses. Table 6 shows that
there are two Moses generators with zero capacity, four with capacity of 247 each and
the T unit with capacity of 952. Only one of the four has a matching PTID for St.
Lawrence – FDR listed at 855MW. The four equally-sized units have a total capacity of
989 in the seams model, roughly the size of the St Lawrence unit and the T ID unit. This
appears to match the Moses Power Dam unit in the eGRID listings, rated at 912MW.
This all appears to follow the pattern that the T generator is a summary or total for the
station.
Table 6 - Moses station data from various sources
Moses Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
NYISO name
515 MOSES
1 Open
0
516 MOSES
1 Open
0
519 MOSES
T Closed
952
520 MOSES
1 Closed
247.25 St Lawrence - FDR
521 MOSES
1 Closed
247.25
522 MOSES
1 Closed
247.25
523 MOSES
1 Closed
247.25
PTID from
Winter
GenPTIDBUS.xls
capability
unlisted
unlisted
unlisted
23600
855
unlisted
unlisted
unlisted
The Gilboa seams plant is the next with a T ID. Table 7 shows a similar pattern
where it has four units with roughly equivalent rating that add to 1,057MW while the
fifth, T ID, generator has a rating of 1,057MW. The four units have PTID’s that match
each of them to same sized generators in the NYISO capacity data. The T ID generator
has no matching PTID. eGRID lists the Blenheim-Gilboa plant as 1,000MW, matching
up well.
Table 7 - Gilboa station data from various sources
Gilboa Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
591 GILBOA
1 Closed
264.3
592 GILBOA
1 Closed
264.3
593 GILBOA
1 Closed
264.3
594 GILBOA
T Open
1057
595 GILBOA
1 Closed
264.3
NYISO name
Blenheim 1
Blenheim 2
Blenheim 3
Blenheim 4
PTID from
Winter
GenPTIDBUS.xls
capability
23756
265
23757
264
23758
264
unlisted
23759
264
29
The Feurabush generator in the seams model does not follow any kind of pattern.
Four Feurabush generators on one bus match with the PTID for the Selkirk 2 plant rated
at 325MW in winter but only 268MW in summer. The four Feurabush units add to
280MW, including the T ID one rated at 15MW. Selkirk-1’s PTID matches with the
Longlane unit in the seams model. Their ratings do not coincide though, Selkirk-1 being
112MW and Longlane being only 7 as seen in Table 8.
Table 8 - Longlane and Feurabush generator data from various sources
Selkirk Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
NYISO name
600 LONGLANE
1 Closed
7 Selkirk - 1
626 FEURABSH
2 Closed
65 Selkirk - 2
626 FEURABSH
3 Closed
135
626 FEURABSH
4 Closed
65
626 FEURABSH
T Closed
15
PTID from
Winter
GenPTIDBUS.xls
capability
23801
112
23799
325
The Independence generator in the seams model does not follow any pattern
either. Listed at 1,102MW it matches perfectly with the Sithe Independence generator in
the NYISO capacity data at 1,082MW as shown in Table 9.
Table 9 - Independence station data from various sources
Independence Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
NYISO name
1391 INDPDNCE
T Closed
1102 Sithe_Independence
PTID from
Winter
GenPTIDBUS.xls
capability
23800
1,082
The four Carr St generators in the seams model on bus 1423 match with the Carr
St – E Syr generator in the NYISO capacity report as shown in Table 10. The NYISO
listing for the unit is 105MW. The first three seams units total 103MW and the fourth, T
ID one, is rated at 103MW as well. This follows the pattern of the T being a summary
unit.
Table 10 - Carr St station data from various sources
Carr St Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
NYISO name
1423 CARR_ST
1 Closed
41 Carr St - E Syr
1423 CARR_ST
2 Closed
41
1423 CARR_ST
3 Closed
21
1423 CARR_ST
T Closed
103.5
PTID from
Winter
GenPTIDBUS.xls
capability
24060
105
30
The last T ID unit follows no previous pattern. The JFK Airport unit rated at
110MW and shown in Table 11 has a matching PTID that is not found in the NYISO
listings. However, the JFK units in the NYISO listings are rated at 117MW and have a
PTID also not found in the Gen_PTID_BUS.xls file. I can only assume these are the
same units.
Table 11 - JFK station data from various sources. The first PTID is from the PTID
map file, the second is from the NYISO capacity report. Though they do not match,
the generators appear to be the same.
JFK Generator Info From Seams Powerworld Model
Bus No.
Name
ID
Status
Max MW
NYISO name
1424 JFK_APT
T Closed
109.6 KIAC GT (JFK)
PTID from
GenPTIDBUS.xls
23541/23816
Winter
capability
117
Because there is no consistent pattern to deal with the alphabetical ID generators,
I cannot assume it is appropriate to simply remove them all. For that reason, I went
forward with an attempt to do a rather complete reconciliation between the seams
generators and the NYISO capacity list using the PTID_BUS.xls file to match between
the two sets and reference the eGRID data. There were of course some exceptions that
were difficult or not able to be precisely matched. Either the bus numbers did not match
between the seams file and the PTID_BUS.xls file or the PTID’s given did not match
those of the NYISO list. The issues that arose during the matching of seams generators
with the other data sets are detailed below.
•
STA_162 in the seams file is the Allegany Cogen in the PTID file. The
NYISO lists two units in the Allegany cogen that sum to the size listed for
STA_162. The first is a natural gas combustion turbine, the second is a waste
heat only turbine. These are clearly coupled and combining their heat rates to
model as one unit is reasonable.
•
In a similar way, it appears that both the Allegheny 8 and Allegheny 9 hydro
units are represented by the single Langdon generator in the seams model.
•
The Waterside 6, 8, and 9 plants in the NYISO list are represented by the
single Waterside generator in the seams model.
31
•
The Danskammer 5 and 6 plants are represented by the single Danskammer
Diesel generator in the seams model.
•
STA_5 in the seams model, given as 107MW, is labeled Station 5_misc
_hydro in the PTID file. This would indicate that it is a conglomeration of
many small hydro units. The PTID given matches the MillsMills unit in the
NYISO file, a 200kW hydro. When looking at the PTID’s around that one in
the NYISO file, most are small hydro units without a matching PTID in the
model, supporting the conglomeration idea. However, adding the
consecutive, unmatched hydro together only sums to 52MW, half what we
are looking for.
•
The Sturgeon 1, 2, and 3 plants are represented by the single sturgeon pool
generator in the seams file.
•
The Dashville 1 and 2 units are represented by the single Ohioville unit in the
seams file.
•
By bus number, the Bordercity generator in the seams model matches the
NEG Central Seneca unit in the PTID file. This PTID matches it to the
Seneca Falls 1 generator in the NYISO file, but this has only a capability of
1.6MW while the Bordercity unit has a capability of 7MW. Additionally, the
next 16 small hydro units in the NYISO file have no match in the seams
model. In total, these 17 hydro units in the NYISO file have a capability of
46MW.
•
The Milliken 1 unit in the seams model represents both the Cayuga IC 1 and
2 units in the NYISO file.
•
Fourteen small units in a variety of counties do not have a matching PTID
with anything in the seams model. These units, mostly hydro but a few other
fuels as well sum to 12.6MW of capacity.
•
The Mongaup unit in the seams model represents the Rio, Mongaup 1, 2, 3,
and 4, and Swinging Bridge 1 and 2 units in Sullivan County.
•
Twenty seven small hydro units in a variety of locations do not have
matching generators in the seams model by PTID. They sum to 44MW.
32
•
The HQ_GEN_CEDARS plant in the PTID file does not match any generator
in the seams model or the NYISO list.
•
The Mulbryny plant in the seams model represents the Mechanicvill 1 and 2
plants.
•
The Ashokan plant in the seams model represents the Ashokan 1 and 2 hydro
units.
•
The Kensico unit in the seams model represents the Kensico 1, 2, and 3
hydro units.
•
The Derfield unit represents the Jarvis 1 and 2 hydro units in the NYISO list.
•
The Pearlrvr plant in the seams model represents both the Lederle1 and the
Lederle 2 generators from the NYISO list.
•
The Greenwd plant in the seams model represents both York-Warbasse units
in the NYISO list.
•
The Lindn_cg plant in the seams model represents the eight CogenTechLinden units in the NYISO list.
•
The Harsnrad unit in the seams model represents the four Lockport Cogen
units in the NYISO list.
•
The N.End unit in the seams model represents the Saranace Energy 1, 2, and
3 units in the NYISO list.
•
The Hyatt unit in the seams model represents the Seneca Energy 1 and 2
•
The Saranac plant in the seams model represents the Lower Saranac 1, 2, and
•
The Kent Fl unit in the seams model represents the Alice Falls 1 and 2 units
in the NYISO list.
•
The Packard unit in the seams model represents the American Ref Fuel 1 and
•
The N. Troy unit in the seams model represents the Crescent 1, 2, 3, and 4
•
The Fulton unit in the seams model represents the twenty two small hydro
units in Onondaga and Oswego Counties.
33
•
The Lighthse unit in the seams model represents six small hydro units in St.
Lawrence County.
•
The Brownsfls unit in the seams model represents seventeen small hydro
units in St. Lawrence County.
•
The Mortimer unit in the seams model represents six small hydro units in the
County of Orleans.
•
The Blackrvr unit in the seams model represents sixteen small hydro units in
Jefferson County.
•
The Taylorvl plant in the seams model represents twenty four small hydro
units in Herkimer and Lewis counties.
•
The Edic/PTR plant in the seams model represents four hydro units in
Herkimer and Oneida Counties.
•
The Ingham E plant in the seams model represents six small hydro units in
Fulton and Herkimer Counties.
•
The Spierfls unit in the seams model represents 14 small hydro units in
Saratoga and Warren Counties.
•
The Shorehm unit in the seams model represents the Shoreham GT3 and GT4
•
The two Hickling generators are listed as having a capability of 0kW on the
NYISO capacity list. The seams model shows them as having a combined
capacity of 83MW while the eGRID report shows the Hickling plant as
having a capacity of 70MW. The eGRID data shows that the Hickling plant
produced power in 2000. While it is possible that between 2000 and 2005 the
plant was turned off, for the purposes of this study, we will leave the plant
included.
•
The NYISO rates the four E Hampton generators to 30MW total. eGRID
shows the East Hampton plant to have a capacity of 27MW corroborating the
magnitude suggested by NYISO. Two of the E Hampton generators listed by
NYISO match up with seams generators, but two are left without a match.
The two seams E Hampton generators, actually labeled Buell, have a
34
combined capacity of 31MW. It is reasonable to assume that these two
represent the four E Hampton generators.
•
The third Buell generator in the seams model is rated at 6MW and matches
by PTID with Greenport GT1, rated at 55MW in the NYISO list. There are
three other Greenport generators listed by NYISO that are not given a PTID
but sum to 5MW. These run on fuel oil, as does the 6MW Greenport unit
listed by eGRID. We will assume that this is the correct match.
•
The Montauk generators, totaling 6MW of fuel oil capacity are not
represented in the seams model even though there is an entry for them in the
PTID file. The eGRID file confirms it to be a 6MW plant that operated in
2000. However, due to the small size of the plant, it is reasonable to ignore it
in this project.
•
The Danskamr unit in the seams model is rated at 18MW but matches the
West Delaware unit in the NYISO list rated at 7.6MW. eGRID rates this unit
at 7.5MW. The PTID file names this CH_MISC_IPPS, leading one to believe
that this is a representation of the Delaware plant and other IPPs. However,
there are no unrepresented plants in Sullivan County based on eGRID, so we
will set the plant equal to 7.5MW.
•
The three Brentwod generators in the seams model appear to match the
Richard M Flynn plant in the eGRID data. There is no plant by the name of
Brentwood in the eGRID database, but the Richard M Flynn is the only
unmatched generator in the correct county with the same fuel type that
happens to be of the same capacity.
•
The Islip waste to energy facility in the NYISO list appears to be the
Huntington Resource Recovery unit in the eGRID data.
•
An example of a generator that could never be matched by name alone is the
Fort Drum generator as listed in the seams, PTID, and NYISO files. There is
no Fort Drum listed in the eGRID data but there is a Black River Power LLC
Electric Generation Facility of the same size and fuel type, the only one in
the county, that appears to be the perfect match given that the PTID file lists
Fort Drum as a cogen.
35
•
In Nassau County, eGRID has three plants labeled Plant No 1, Plant No 2,
and TBG Cogen. These could not be matched with anything in the seams or
NYISO lists until the owner was considered. Once the owner of Plant No 1
and 2 was determined to be the village of Freeport, it was clear that this was
the plant labeled Freeport by NYISO. Once the TBG cogen was understood
to be owned by Calpine, it was clear that this was the Calpine Bethpage plant
in the NYISO list.
•
The Goodyear Lake Plant is listed by eGRID as being in Otsego county
whereas NYISO registers it in Oswego County and does not give it a PTID.
•
The 3.2MW generator named Macedon in the seams model matches the NEG
Central_High_Acres plant in the PTID file which matches the 3.2MW High
Acres plant in Wayne County in the NYISO report. The High Acres Gas
Recovery plant in neighboring Monroe County, rated at 3.2MW is assumed
to be the corresponding plant in the eGRID file.
•
Similarly, the 60MW Walck Rd plant in the seams file matches with the
Oxbow plant in the PTID and the NYISO file. NYISO lists this plant in Erie
County at 59MW while eGRID lists it as being in neighboring Niagara
county at 55MW. It is assumed these are all the same plant.
•
The 42MW Ticonderg plant in the seams model, IP_Ticonderoga in the PTID
file is unmatched in the NYISO listings. The 42MW Ticonderoga Mill plant
in Essex County, owned by International Paper appears to be the correct
match in the eGRID file.
•
The Eastview plant in the seams model does not match any plant by
bus/PTID or name in any other data set. It is difficult to determine which
plant is its match. The Eastview plant is only listed at 1MW, so no matter
what decision is made, it is of little consequence. The EFishkil plant is in the
same situation.
•
The Foxhills plant in the seams model is named Pouch by NYISO. This
generator is definitively not in the eGRID database given that it is found in
the EIA dictionary with an EPA identification number not found in eGRID.
Upon inspection of the NYISO records, the Pouch plant did not begin
36
operations until 2001, after the eGRID data currently available. By year of
operation, fuel type, and size, the Stony Brook plant is the best match and
will be used in this model for emissions purposes.
•
There is no match to the Queensbridge station in either the NYISO listings or
the eGRID. Queensbridge is the location of the Ravenswood power plants. In
web searches, I was not able to identify any power plants in Queensbridge
besides Ravenswood. For the purposes of this study, and given that the seams
model lists Queensbridge at only 6MW and places it less than five buses
away from the Ravenswood plant, we will assign it the same characteristics
as the Ravenswood plant.
•
While the Langdon plant in the seams model, labeled Allegheny 8 by NYISO
by the matching bus and PTID, is not found in the eGRID files, it is a hydro
plant according to the NYISO. We thus know the emissions and it is not
critical to determine a heat rate. It and the Allegheny 9 plant are thus set to
match the Prospect Hydro emissions, that being a similarly sized hydro unit.
•
The Fraser power plant in the seams model does not match any other items in
the other data files, but its capacity is set to zero in the seams file, making
this irrelevant.
•
The Gardenville plant has no matching generator in the other files either. It
will be matched with the neighboring bus’s emissions due to the fact that it is
only rated at 1MW and does not make very much of a difference. It is
matched with AES Westover.
•
The 4MW Hancock plant in the seams model has no apparent match.
However, the town of Hancock is located in Delaware County. There is an
un-matched 7MW hydro facility named West Delaware Hydro Plant in the
eGRID database. We will assume these are a match.
•
The Auburn State Street plant is not listed in the eGRID database. I was able
to confirm the small hydro plant’s existence through web research. It will
also be matched with the Prospect plant from eGRID.
37
•
The 5.5MW Lancaster plant in the seams model appears to be the Lancaster
Landfill Gas plant in Lancaster, NY in Erie County. This makes it a match
with the 5.6MW LFG plant in Erie County given in eGRID.
•
The Athens generating station in the seams file was surprisingly not matched
by an eGRID generator. This was surprising given the 1080MW capacity of
the plant. Upon further investigation, the Athens Generating Station did not
commence generation until the later part of 2003, well after the 2000 eGRID
data. It is a natural gas fired plant located in the town of Athens, Green
County, NY. It will be matched with the Sithe Independence plant, the best
match among the options in terms of size, fuel, and date of construction.
•
The Kent Ave station did not commence operation until late summer 2001
and is thus not available in the eGRID system yet. Indeck Olean is the best
match for size, date of construction, and fuel type so it will be used to model
emissions.
•
The 1MW Pawling plant in the seams model can only be assumed to be
related to Pawling, NY of Duchess County. As eGRID has no listings for
Dutchess County, this generator will be treated as a small hydro unit for the
purposes of this study.
•
The Linden Cogen Tech plant began operation in 1992 and should therefore
be in the eGRID data. However, it is located in Linden, NJ which is why it
was not initially identified in the eGRID database. It and the Crossroads plant
in Mahwah are the only NJ plants that are part of the NYISO system.
•
The Fenner and Wethersfield wind plants did not begin operation until the
end of 2000 and 2001 and are thus not included in the eGRID data. Again,
they do not have any emissions so they can be treated as the Madison wind
project.
•
Marcy, listed by seams as a 1500MW plant and a 9999MW plant is not a
plant at all. The PTID file matches it to something called
NYISO_LBMP_Reference. Marcy, NY, near Utica, is the site of the Marcy
Substation and the Frederick R. Clark Energy Center. This is where the New
York Power Authority’s Energy Control Center is located. It is the juncture
38
of five high voltage transmission lines. I can only assume that the Marcy
generators listed here are proxies for other pieces of the system when only
the NYPA area is modeled.
After all of this reconciliation, 7451MW of ‘extra’ generation in the seams file in
the NYISO area has been identified. This is detailed in Table 12. When this extra
generation is removed from the seams model, the total generation left in the NYISO area
is 40,036MW, very close to the actual installed capacity.
Table 12 - "Extra" generation in the seams model and its location
Generator Extra MW
Marcy
9999
Marcy
1500
Barrett E
135
Barett L
135.4
Holtsville E
259.2
Holtsville J
265
Niagara T
3044
Moses T
952
Gilboa T
1057
Carr St T
103
Total
7450.6
4.7 TCC Auction Data
Given the difficulties of correlating system data between various sources and the
problems associated with the NYISO base case being too large, I was advised by a
friend working at the NYISO of another available model of the State’s power system
that is smaller in size. This model is used in the Transmission Congestion Contract
(TCC) auctions performed by the NYISO. The data for these auctions, TAD (TCC
Auction Data), is made available to market participants wishing to take part in the TCC
auctions. The TAD consists of the power flow case used as the starting point for an
Initial TCC Auction. Also provided in PSS/E raw data format, the TAD model has
roughly 3,000 buses, a very reasonable number for the New York power system and a
reasonable number to deal with semi-manually.
39
Following the procedures on the NYISO website for requesting TAD, I filled out
an application for the data and signed a non-disclosure agreement. The manager of
auxiliary market operations for the NYISO responded to my request for TAD data with
the following statement
“TAD information is provided only to market participants with business interests
in the TCC Market because of the sensitive nature of the information. TAD includes
system diagrams that are also considered Critical Infrastructure Information with limited
distribution opportunities.
“It is for those reasons that I regret to inform you we cannot honor your request.”
Given that I had already been given all of the system diagrams and a more
complete model of the state power system from the FERC Form 715 filing, this response
seemed unreasonable. Professor Thomas had further discussions with the NYISO
regarding this matter and as of the time of this report, the NYISO lawyers were still
reviewing whether or not they could share this data with us.
5. Data Quality control – eGRID
The West Babylon plant was registering bizarrely high costs in my model. Going
back to the original eGRID data, I uncovered what must have been an error in their data.
The total net generation for the 52MW plant was listed as 33MWh and the heat input as
38,793MMBtu giving a net heat rate of 1,175,566Btu/kWh. This is not a reasonable heat
rate, even for an old oil fired power plant. The ozone season net generation is listed as
1,175MWh, it would be impossible for this to be higher than the total net generation for
the year. The average ratio of ozone season generation to total annual generation for all
plants in NY is 0.5. For this reason, I have set the annual net generation for the West
Babylon plant to be 2,350MWh giving a net heat rate of 16,508MMBtu/MWh, a
reasonable value.
Similarly, I corrected for what I must assume to be an error in the Shoreham
plant with the annual net generation listed as -57MWh while the ozone season net
generation is listed at 451MWh. I assume the total generation to be 902MWh and the net
heat rate to thus be 29,254MMBtu/MWh. This is high, but in the correct magnitude.
40
The 74th Street station is perplexing. It gives an annual net generation of -65MWh and
an ozone season net generation of only 20MWh. For an annual heat input of
9,850,258MMBtu, this is not reasonable. Even correcting this to 40MWh for the year, it
comes to 274,925,750MMBtu/MWh. The 74th Street plant is very similar in appearance
to the 59th Street oil-fired station, so it will be assigned the heat rate from that plant.
The Greenport plant is even more vexing. Rated at 7MW, eGRID reports a heat
input of 379MMBtu and a net generation of -255MWh. The ozone season net generation
is similarly -106Mwh. When the individual generators making up the Greenport plant
are examined, eGRID labels their annual generation as n/a. Given the small size of the
plant and the oddity of this data, it will be set to the same values as the Montauk plant, a
similar 6MW oil fired plant.
The 74th Street and the Shoreham plants both have erroneous emissions data with
negative emissions rates for NOX, SO2, and CO2. These will be disregarded and the
plants assumed to have zero emissions to compensate.
6. Estimating Generator Marginal Costs
According to EIA statistics on U.S. investor-owned electric utility revenue and
expense from 1993 through 2004 [11], fuel costs as a percentage of total electric utility
operating expenses dropped rather steadily from 1993 through 2001 and then started
rising again. In 1993 it was roughly 21% whereas in 2001 it was only 14%.
As this study is only looking at generator marginal cost, not total utility operating
expenses, many expenses are not relevant to this study. Removing expenses such as
transmission and distribution, purchased power, customer accounts and service, and
sales is likely more representative of what the actual generator’s expenses are.
Calculating the fuel cost as a percentage of the maintenance, depreciation, and taxes
only is likely a reasonable ratio for generators and comes out to a range of 30% to 36%
depending upon the year. The trend of these two percentages over the years is shown in
Figure 10.
41
Figure 10 - Fuel costs as a percentage of electric utility operating costs. Src:
This does not tell us anything about the type of generator though. Clearly, a
natural gas fired peaking plant would have a different fuel cost to total expense ratio
than a hydro plant.
42
Figure 11 - Average fuel/total operation and maintenance expense ratio for major
U.S. investor owned utilities in 2004. Src:
Figure 11 shows that 25.1% of nuclear plant operation and maintenance cost is
due to fuel purchases whereas fuel for fossil steam plants accounts for 76.4% of
expenses. Hydro has a zero fuel cost and gas turbines and internal combustion
generators have an average fuel cost of 90.2% of expenses. An EIA article on challenges
facing fuel suppliers in a restructured electric power industry confirms that nuclear fuel
accounts for roughly one quarter of a nuclear plant’s operating costs [5].
Because generation costs from hydro and other electric generators with zero fuel
cost cannot be determined based upon a heat rate and a ratio of fuel cost to total cost, we
must look at the cost per generation numbers for these types of plants. The total
operation and maintenance costs of hydro facilities from IOU’s in 2004 was 8.69 mils
per kilowatthour. To ensure that the scaling gives reasonable numbers for the other
generators, it is important to note that nuclear generators reported a cost of 18.26 mils
per kWh, fossil steam a cost of 23.85 mils per kWh, and gas turbines and small scale
generators a cost of 50.1 mils per kWh. Of this, 4.58, 18.21, and 45.2 respectively were
their fuel costs in mils per kWh [3].
43
Table 13 gives a summary of calculated fuel costs used in the rest of this study,
broken down in the same way that eGRID classifies fuel types. The Fuel Cost in dollars
per million Btu’s is sourced from the EIA ‘s July 2006 Monthly Energy Review and
2005 Annual Energy Review. Both use 2005 annual average values. The average
operating cost in dollars per MWh is from the EIA Energy Annual report based on
category of generator for 2004 annual averages. Because fuel costs increased
significantly from 2004 to 2005, a scaling factor was introduced to convert the 2004
operating costs to equivalent 2005 operating costs where the scaling factor is the change
in that particular fuel cost from 2004 to 2005.
The adjusted net heat rates given are averages for the various fossil fuel
generators. The adjustment made is for the combined heat and power (CHP) units. The
adjustment was made using eGRID’s CHP plant electric allocation factors. These factors
are uses by eGRID in its emissions allocations to account for what portion of the heat
input should be allocated for electricity. The same was done to allocate costs here. Using
the given fuel costs and the adjusted heat rates, the cost for fuel alone in dollars per
MWh is calculated for the fossil fuel units. Finally the average total operating costs for
fossil fuel units are calculated using a scaling factor based on what percentage of
operating costs are accounted for by fuel costs as described above.
Table 13 - Average fuel costs by fuel type calculated by two different methods
Average
Scaling
Average
Average
Average
Average
Fossil
Operating factor from Operating
Adjusted
Fossil Fuel Operating
Fuel Cost
Cost
2004 fuel Cost Scaled
Net Heat
Cost based Cost based
2005 ($/
(2004$/
cost to
to
Rate
on Heat Rate on Heat Rate
Fuel Type
Description
MMBtu)*
MWh)**
2005*
(2005$/MWh) (Btu/MWh)
($/MWh)
($/MWh)
BIT
Coal
1.54
23.85
1.13
27.01
9,197
14.16
18.54
BL
Water
8.69
1.00
8.69
COL
Coal
1.54
23.85
1.13
27.01
8,445
13.01
17.02
DFO
Distillate Fuel Oil
11.89
50.1
1.48
74.28
6,023
170.76
189.32
GAS
Natural Gas
8.2
50.1
1.38
68.93
10,329
84.70
93.90
LFG
Landfill Gas
50.1
1.00
50.10
MSW
Municipal Solid Waste
50.1
1.00
50.10
MWC
Refuse (solid waste)
50.1
1.00
50.10
NG
Natural Gas
8.2
50.1
1.38
68.93
7,535
61.78
70.67
NUC
Nuclear
18.26
1.00
18.26
OG
Solid Waste
50.1
1.00
50.10
OIL
Oil
6.48
50.1
1.51
75.68
24,848
161.01
178.51
RFO
Residual Fuel Oil
7.12
50.1
1.51
75.41
12,862
91.58
101.53
UR
Nuclear
18.26
1.00
18.26
WAT
Water
8.69
1.00
8.69
WDS
Wood
50.1
1.00
50.10
WND
Wind
50.1
1.00
50.10
WT
Water
8.69
1.00
8.69
Fossil Data from EIA Table 9.10 http://www.eia.doe.gov/emeu/mer/pdf/pages/sec9_15.pdf, Nuclear data from EIA table
*
9.3 http://www.eia.doe.gov/emeu/aer/pdf/pages/sec9_7.pdf
**
From EIA's 2004 Energy Annual, table 8.2
44
As can be seen, the average operating costs calculated using fuel costs, heat
rates, and factors to account for non-fuel operating costs vary significantly from those
given by the EIA for country-wide investor owned utility costs. In the case of coal, the
calculated costs appear to be lower than the EIA average reported costs. In the case of
natural gas, the costs are almost identical. But in the case of oil, the calculated costs are
more than double. To account for these differences yet still account for the heat rate
information provided by eGRID to determine relative operating costs for units of the
same fuel type, the average operating cost for each unit will be assigned by using the
calculated value scaled so that the mean value for that fuel type matches the EIA
reported national average.
7. Mapping PTID to EIA Codes
As described briefly in the NYISO Load and Capacity Data section, the majority
of time spent on this project was spent attempting to match generators in one data set
with generators in another data set. The two most complete data sets I was able to obtain
were eGRID and the NYISO Load and Capacity Data, both publicly available. eGRID’s
emissions data was the catalyst for this project. It lists the EIA facility code for every
generating station. NYISO on the other hand identifies its generating stations using a
PTID number. Though the NYISO must have a map between their PTID’s and the EIA
facility codes, they do not make it publicly available. In fact, in doing research online, I
found multiple references in technical papers studying the New York power system
lamenting the lack of any publicly available document to correlate PTID’s and EIA
codes. Though it was not the intention to create such a map at the commencement of this
project, such a map had to be created in the course of the work. I had available a model
of the power system in New York and surrounding areas in PowerWorld format. Along
with this was a file correlating bus numbers from this model with PTID’s. It was over
90% complete, though contained many errors and omissions. Using this, I was able to
match the generators in the model with the generators listed by the NYISO. This filled in
45
a great amount of information about each of the plants such as location, fuel type, and
owner. The goal was to assign costs and emissions data to each generator in the model,
so one further step had to be made to then match the eGRID generators to the seams
model generators. The additional information in the NYISO listings as well as the name
variations among the three data sets just mentioned made this mapping possible though
arduous. What follows is as accurate a map between NYISO listed generators and EIA
facility codes as I was able to produce. There are still multiple omissions and surely a
handful of mismatched generators, but it very closely complete. It is important to note
that this map was made using publicly available information and over a hundred of
hours of work.
46
Table 14 - PTID to EIA Code Map
NYISO Ref No.
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
Owner/Operator
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
AES Corp.
Athens Generating Company, LP
Boralex
Boralex
Boralex
Boralex
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
NYISO Station Name
Cayuga 1
Cayuga 2
Cayuga IC 1
Cayuga IC 2
Greenidge 3
Greenidge 4
Hickling 1
Hickling 2
Jennison 1
Jennison 2
Somerset
Westover 7
Westover 8
Athens 1
Athens 2
Athens 3
Fourth Branch (Mohawk Paper)
NYS Dam
Sissonville
Warrensburg
Carr St.-E. Syr
Hydro Services LLC
Newton Falls 1 - Lower
Newton Falls 2 - Upper
Hydraulic Race
Baldwinsville 1
Baldwinsville 2
Fulton 1
Fulton 2
Granby 1
Granby 2
Minetto 2
Minetto 3
Minetto 4
Minetto 5
Minetto 6
Oswego Falls E 1
Oswego Falls E 2
Oswego Falls E 3
Oswego Falls W 3
Oswego Falls W 4
Oswego Falls W 5
Varick 2
Varick 3
Varick 4
Varick 5
Allens Falls
Chasm 1
Chasm 2
Chasm 3
Franklin 1
Franklin 2
Hogansburg
Macomb
Parishville
Piercefield 1
Piercefield 2
Piercefield 3
Bennetts Bridge 1
Bennetts Bridge 2
Bennetts Bridge 3
Bennetts Bridge 4
Lighthouse Hill 1
Lighthouse Hill 2
Browns Falls 1
Browns Falls 2
Eel Weir 1
Eel Weir 2
Eel Weir 3
Flat Rock 1
Flat Rock 2
Heuvelton 1
Heuvelton 2
Oswegatchie 1
Oswegatchie 2
South Edwards 1
South Edwards 2
South Edwards 3
South Edwards 4
Talcville 1
Talcville 2
Glenwood 1
Glenwood 2
Glenwood 3
Oak Orchard
Waterport 1
Waterport 2
Beebee Island 1
Beebee Island 2
Black River 1
Black River 2
Black River 3
Deferiet 1
Deferiet 2
Deferiet 3
Herrings 1
Herrings 2
Herrings 3
Kamargo 1
Kamargo 2
Kamargo 3
Sewalls 1
Sewalls 2
Belfort 1
Belfort 2
PTID
23584
23585
23629
23629
23582
23583
23621
23622
23625
23626
23543
23579
23580
23668
23670
23677
23824
23527
23735
23737
24060
Various
23847
23847
23847
23847
23848
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24041
24042
24042
24042
24042
24042
24042
24042
24042
24042
24042
24042
24042
24043
24043
24043
24043
24043
24043
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24044
24046
24046
24046
24046
24046
24046
24047
24047
24047
24047
24047
24047
24047
24047
24047
24047
24047
24047
24047
24047
24047
24047
24048
24048
Town
Lansing
Lansing
Lansing
Lansing
Torrey
Torrey
Corning
Corning
Bainbridge
Bainbridge
Somerset
Union
Union
Athens
Athens
Athens
Waterford
Potsdam
Dewitt
(Listed below)
Cnty
109
109
109
109
123
123
101
101
17
17
63
7
7
39
39
39
91
91
89
113
67
Winter
Capacity
(kW)
152000
153800
2800
2800
54100
107500
0
0
0
0
682000
44400
84400
405000
405000
405000
2700
11400
2900
2900
105500
eGRID Station Name
AES CAYUGA
AES CAYUGA
AES CAYUGA
AES CAYUGA
AES GREENIDGE
AES GREENIDGE
AES HICKLING LLC
AES HICKLING LLC
AES JENNISON LLC
AES JENNISON LLC
AES SOMERSET LLC
AES WESTOVER
AES WESTOVER
SITHE INDEPENDENCE STATION
FOURTH BRANCH HYDROELECTRIC FACILITY
NEW YORK STATE DAM HYDRO
SISSONVILLE HYDROELECTRIC
WARRENSBURG HYDROELECTRIC
CARR STREET GENERATING STATION
89
89
89
89
63
67
67
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
75
89
33
33
33
33
33
33
33
89
89
89
89
75
75
75
75
75
75
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
73
73
73
73
73
73
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
45
49
49
417
418
418
418
2300
242
242
657
369
4104
4104
1313
1313
1313
1313
1313
1231
1231
1231
328
762
762
1806
2052
1806
1806
3953
1129
1129
1524
1000
1000
277
917
2355
1319
527
527
6868
6868
7542
7542
4040
4040
7393
7393
346
761
761
2957
2957
338
339
639
274
1140
1140
775
228
206
206
507
507
508
29
1224
1225
4114
4114
2028
2028
2028
3651
3651
3651
1826
1826
1826
1826
1826
1826
1090
1091
399
639
not listed
not listed
not listed
not listed
HYDRAULIC RACE
TRIGEN SYRACUSE ENERGY CORP
not listed
FULTON
FULTON
GRANBY
GRANBY
MINETTO
MINETTO
MINETTO
MINETTO
MINETTO
OSWEGO FALLS EAST
OSWEGO FALLS EAST
OSWEGO FALLS EAST
OSWEGO FALL WEST
OSWEGO FALL WEST
OSWEGO FALL WEST
VARICK
VARICK
VARICK
VARICK
ALLENS FALLS
CHASM
CHASM
CHASM HYDRO PARTNERSHIP
FRANKLIN
FRANKLIN
not listed
MACOMB
PARISHVILLE
PIERCEFIELD
PIERCEFIELD
PIERCEFIELD
BENNETTS BRIDGE
BENNETTS BRIDGE
BENNETTS BRIDGE
BENNETTS BRIDGE
LIGHTHOUSE HILL
LIGHTHOUSE HILL
BROWNS FALLS
BROWNS FALLS
EEL WEIR
EEL WEIR
EEL WEIR
FLAT ROCK
FLAT ROCK
HEUVELTON
HEUVELTON
not listed
not listed
SOUTH EDWARDS
SOUTH EDWARDS
SOUTH EDWARDS
SOUTH EDWARDS
TALCVILLE
TALCVILLE
GLENWOOD
GLENWOOD
GLENWOOD
not listed
WATERPORT
WATERPORT
BEEBEE ISLAND HYDRO PLANT
BLACK RIVER
BLACK RIVER
BLACK RIVER
DEFERIET
DEFERIET
DEFERIET NEW YORK
HERRINGS
HERRINGS
HERRINGS
KAMARGO
KAMARGO
KAMARGO
SEWALLS
SEWALLS
BELFORT
BELFORT
EIA Code
2535
2535
2535
2535
2527
2527
2529
2529
2531
2531
6082
2526
2526
54547
54547
54547
10467
10221
10220
10218
50978
2578
50651
2566
2566
2569
2569
2586
2586
2586
2586
2586
2595
2595
2595
2596
2596
2596
2621
2621
2621
2621
2540
2550
2550
50315
2564
2564
2583
2597
2598
2598
2598
2545
2545
2545
2545
2582
2582
2548
2548
2556
2556
2556
2563
2563
2573
2573
2604
2604
2604
2604
7583
7583
2568
2568
2568
2623
2623
10531
10531
2546
2546
2546
2552
2552
50246
2572
2572
2572
2581
2581
2581
2608
2608
2544
2544
47
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Brascan Power - NY
Calpine Energy Service LP
Canastota Wind Power, LLC
Central Hudson Gas & Elec. Corp.
CHI Energy
Consolidated Edison of NY, Inc.
Belfort 3
Eagle 1
Eagle 2
Eagle 3
Eagle 4
Effley 1
Effley 2
Effley 3
Effley 4
Elmer 1
Elmer 2
High Falls 1
High Falls 2
High Falls 3
Moshier 1
Moshier 2
Soft Maple 1
Soft Maple 2
Taylorville 1
Taylorville 2
Taylorville 3
Taylorville 4
Prospect
Trenton Falls 5
Trenton Falls 6
Trenton Falls 7
Inghams 1
Inghams 2
Beardslee 1
Beardslee 2
Ephratah 1
Ephratah 2
Ephratah 3
Ephratah 4
Blake
Five Falls
Rainbow Falls
South Colton
Stark
Colton 1
Colton 2
Colton 3
East Norfolk
Hannawa Falls 1
Hannawa Falls 2
Higley 1
Higley 2
Higley 3
Higley 4
Norfolk
Norwood
Raymondville
Sugar Island 1
Sugar Island 2
Yaleville 1
Yaleville 2
E J West 1
E J West 2
Feeder Dam 1
Feeder Dam 2
Feeder Dam 3
Feeder Dam 4
Feeder Dam 5
Sherman Island 1
Sherman Island 2
Sherman Island 3
Sherman Island 4
Spier Falls 1
Spier Falls 2
Stewarts Bridge
Johnsonville 1
Johnsonville 2
Schaghticoke 1
Schaghticoke 2
Schaghticoke 3
Schaghticoke 4
School Street 1
School Street 2
School Street 3
School Street 4
School Street 5
Schuylerville
Bethpage
Bethpage GT4
KIAC GT 01 (JFK)
KIAC GT 02 (JFK)
KIAC ST 01 (JFK)
Stony Brook
Fenner Wind Power
Coxsackie GT
Dashville 1
Dashville 2
DCCRA
Groveville Mills
High Falls
Millpond
Montgomery West
Neversink
Salisbury Mills
South Cairo
Sturgeon 1
Sturgeon 2
Sturgeon 3
Wallkill
Wappingers Falls
West Delaware
Wethersfield Wind Power
59 St. GT 1
74 St. GT 1
74 St. GT 2
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24048
24049
24049
24049
24049
24050
24050
24051
24051
24051
24051
24051
24051
24056
24056
24056
24056
24056
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24057
24058
24058
24058
24058
24058
24058
24058
24058
24058
24058
24058
24058
24058
24058
24059
24059
24059
24059
24059
24059
24059
24059
24059
24059
24059
24059
23823
24209
23816
23816
23816
24151
24204
23611
23610
23610
23765
x
23754
x
x
23608
x
23612
23609
23609
23609
x
23765
23765
24143
24138
24260
24261
Cohoes
Cohoes
Cohoes
Cohoes
Cohoes
Bethpage
Bethpage
Jamaica
Jamaica
Jamaica
Stony Brook
Fenner
Coxsackie
Rifton
Rifton
Poughkeepsie
Beacon
Marbletown
Catskill
Montgomery
Grahamsville
Salisbury Mills
Cairo
Rifton
Rifton
Rifton
Shwangunk
Wappingers
Grahamsville
Wethersfield
Manhattan
Manhattan
Manhattan
49
49
49
49
49
49
49
49
49
49
49
49
49
49
43
43
49
49
49
49
49
49
43
65
65
65
43
43
43
43
35
35
35
35
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
89
91
91
91
91
91
91
91
113
113
113
113
91
91
91
83
83
83
83
83
83
1
1
1
1
1
91
59
59
81
81
81
103
53
39
111
111
27
27
111
39
71
105
71
39
111
111
111
111
27
105
121
61
61
61
998
1282
1332
1332
2022
394
394
590
1535
911
911
1578
1578
1578
3946
3946
7398
7398
1061
1061
1061
1156
21720
8528
8026
8026
3450
3450
9397
9397
683
607
658
658
15545
24289
24289
20888
24289
9760
9760
9760
3599
3514
3514
1171
1171
2030
2030
4490
1985
2076
2127
1963
203
292
10930
10930
979
979
979
980
980
7870
9510
7870
7870
7433
41099
32791
1162
1163
4787
4787
4787
4787
10524
10524
10524
10524
14617
1611
59800
50000
44538
44537
27825
20800
30000
17700
2900
2900
8000
800
3000
900
200
23000
500
17700
5266
5267
5267
500
2100
7600
6600
19700
17700
19100
BELFORT
EAGLE
EAGLE
EAGLE
EAGLE
EFFLEY
EFFLEY
EFFLEY
EFFLEY
ELMER
ELMER
HIGH FALLS
HIGH FALLS
HIGH FALLS
MOSHIER
MOSHIER
SOFT MAPLE
SOFT MAPLE
TAYLORVILLE
TAYLORVILLE
TAYLORVILLE
TAYLORVILLE
PROSEPECT
TRENTON FALLS
TRENTON FALLS
TRENTON FALLS
INGHAMS
INGHAMS
BEARDSLEE
BEARDSLEE
EPHRATAH
EPHRATAH
EPHRATAH
EPHRATAH
BLAKE
FIVE FALLS
RAINBOW FALLS
SOUTH COLTON
STARK
COLTON
COLTON
COLTON
EAST NORFOLK
HANNAWA
HANNAWA
HIGLEY
HIGLEY
HIGLEY
HIGLEY
NORFOLK
NORWOOD
RAYMONDVILLE
SUGAR ISLAND
SUGAR ISLAND
YALEVILLE
YALEVILLE
E J WEST
E J WEST
FEEDER DAM HYDRO PLANT
SHERMAN ISLAND
SHERMAN ISLAND
SHERMAN ISLAND
SHERMAN ISLAND
SPIER FALLS
SPIER FALLS
STEWARTS BRIDGE
JOHNSONVILLE
JOHNSONVILLE
SCHAGHTICOKE
SCHAGHTICOKE
SCHAGHTICOKE
SCHAGHTICOKE
SCHOOL STREET
SCHOOL STREET
SCHOOL STREET
SCHOOL STREET
SCHOOL STREET
SCHUYLERVILLE
TBG COGEN
TBG COGEN
KENNEDY INTERNATIONAL AIRPORT COGEN FACILITY
STONY BROOK COGENERATION PLANT
MADISON WINDPOWER
WEST COXSACKIE
DASHVILLE
DASHVILLE
DUTCHESS COUNTY RESOURCE RECOVERY FACILITY
noot listed
HIGH FALLS
not listed
not listed
NEVERSINK
not listed
SOUTH CAIRO
STURGEON
STURGEON
STURGEON
not listed
WAPPINGER FALLS HYDROELECTRIC
WEST DELAWARE TUNNEL PLANT
MADISON WINDPOWER
59TH STREET
74TH STREET
74TH STREET
2544
2555
2555
2555
2555
2557
2557
2557
2557
2559
2559
2575
2575
2575
2588
2588
2610
2610
2617
2617
2617
2617
2599
2619
2619
2619
2579
2579
2543
2543
2560
2560
2560
2560
2547
2562
2600
2611
2613
2551
2551
2551
2561
2571
2571
2576
2576
2576
2576
2590
2591
2601
2616
2616
2624
2624
6527
6527
10530
10530
10530
10530
10530
2609
2609
2609
2609
2612
2612
2614
2580
2580
2606
2606
2606
2606
2605
2605
2605
2605
2605
2607
50292
50292
54114
54114
54114
54149
55769
2487
2481
2481
10305
579
2483
2485
2486
2486
2486
54573
51033
55769
2503
2504
2504
48
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
Constellation Power Source
Dynegy Power Inc.
Dynegy Power Inc.
Dynegy Power Inc.
Dynegy Power Inc.
Dynegy Power Inc.
Dynegy Power Inc.
Dynegy Power Inc.
Dynegy Power Inc.
Entergy Nuclear
Entergy Nuclear
Entergy Nuclear
Entergy Nuclear
Entergy Nuclear
Entergy Nuclear
Equus Power 1, LP
Florida Power & Light
Florida Power & Light
Freeport, Village of
Fulton Cogen Associates, L.P.
Greenport, Village of
Hawkeye Energy
Indeck-Corinth LP
Indeck-Olean LP
Indeck-Oswego LP
Indeck-Yerkes LP
Innovative Energy Systems
Jamestown, City of
Jamestown, City of
Jamestown, City of
KeySpan Ravenswood, Inc.
KeySpan Generation, LLC
East River 6
East River 7
Hudson Ave 10 (Ret. 10/01/04)
Hudson Ave 3
Hudson Ave 4
Hudson Ave 5
Waterside 6
Waterside 8
Waterside 9
Brooklyn Navy Yard
York-Warbasse
York-Warbasse
Cogen Tech-Linden
Cogen Tech-Linden
Cogen Tech-Linden
Cogen Tech-Linden
Cogen Tech-Linden
Cogen Tech-Linden
Cogen Tech-Linden
Cogen Tech-Linden
American Ref-Fuel 1
American Ref-Fuel 2
Chateaugay Power
Ginna
High Acres
Monroe Livingston
Nine Mile Pt 1
Nine Mile Pt 2
Danskammer 1
Danskammer 2
Danskammer 3
Danskammer 4
Danskammer 5
Danskammer 6
Roseton 1
Roseton 2
Fitzpatrick 1
Indian Pt 2
Indian Pt GT 1
Indian Pt GT 2
Indian Pt GT 3
Indian Pt 3
Freeport CT 1
Far Rockaway GT1
Far Rockaway GT2
Freeport 1-1
Freeport 1-2
Freeport 1-3
Freeport 1-4
Freeport 2-1 (Ret. 04/01/04)
Freeport 2-2 (Ret. 04/01/04)
Freeport 2-3
Freeport CT 2
Fulton Cogen
Greenport IC 4
Greenport IC 5
Greenport IC 6
Greenport GT1
Indeck-Corinth
Indeck-Olean
Indeck-Oswego
Indeck-Yerkes
Model City Energy
Ontario LFGE
Seneca Energy 1
Seneca Energy 2
Jamestown 5
Jamestown 6
Jamestown 7
Ravenswood ST 01
Ravenswood ST 02
Ravenswood ST 03
Ravenswood CC 04
Ravenswood 1
Ravenswood 4
Ravenswood 5
Ravenswood 6
Ravenswood 7
Ravenswood 8
Ravenswood 9
Ravenswood 10
Ravenswood 11
Ravenswood 2-1
Ravenswood 2-2
Ravenswood 2-3
Ravenswood 2-4
Ravenswood 3-1
Ravenswood 3-2
Ravenswood 3-3
Ravenswood 3-4
Barrett ST 01
Barrett ST 02
Barrett GT 01
Barrett GT 02
Barrett GT 03
Barrett GT 04
Barrett GT 05
Barrett GT 06
Barrett GT 07
Barrett GT 08
Barrett GT 09
Barrett GT 10
Barrett GT 11
Barrett GT 12
East Hampton 2
East Hampton 3
East Hampton 4
East Hampton GT 01
Far Rockaway ST 04
Glenwood GT 01
23660
23524
24168
23810
23540
23657
23538
23538
23538
23515
23770
23770
23786
23786
23786
23786
23786
23786
23786
23786
24010
24010
23792
23603
23767
24207
23575
23744
23586
23589
23590
23591
23592
23592
23587
23588
23598
23530
24139
23659
24019
23531
23764
24212
23815
x
x
x
x
x
x
x
23818
23766
x
x
x
23814
23802
23982
23783
23781
24167
23819
23797
23797
x
x
x
23533
23534
23535
23820
23729
24252
24254
24253
24255
24256
24257
24258
24259
24244
24245
24246
24247
24248
24249
24250
24251
23545
23546
23704
23705
23706
23707
23708
23709
23710
23711
23700
23701
23702
23703
23722
23722
23722
23717
23548
23712
Manhattan
Manhattan
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Manhattan
Manhattan
Manhattan
Brooklyn
Brooklyn
Brooklyn
Linden NJ
Linden NJ
Linden NJ
Linden NJ
Linden NJ
Linden NJ
Linden NJ
Linden NJ
Chateaugay
Ontario
Fairport
Scottsville
Scriba
Scriba
Newburgh
Newburgh
Newburgh
Newburgh
Newburgh
Newburgh
Newburgh
Newburgh
Scriba
Buchanan
Buchanan
Buchanan
Buchanan
Buchanan
Freeport
Far Rockaway
Jamaica Bay
Freeport
Freeport
Freeport
Freeport
Freeport
Freeport
Freeport
Freeport
Fulton
Greenport
Greenport
Greenport
Greenport
Corinth
Olean
Oswego
Tonawanda
Lewiston
Canandaigua
Seneca Falls
Seneca Falls
Jamestown
Jamestown
Jamestown
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
Island Park
E Hampton
E Hampton
E Hampton
E Hampton
Far Rockaway
Glenwood
61
61
47
47
47
47
61
61
61
47
47
47
39
39
39
39
39
39
39
39
63
63
33
117
117
55
75
75
71
71
71
71
71
71
71
71
75
119
119
119
119
119
59
81
81
59
59
59
59
59
59
59
59
75
103
103
103
103
91
9
75
29
63
69
99
99
13
13
13
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
59
59
59
59
59
59
59
59
59
59
59
59
59
59
103
103
103
103
81
59
135400
183100
0
15400
15900
17300
68800
49600
49400
294700
15760
3940
96121
96121
96121
96121
96121
106465
106465
106465
20100
20100
18000
499000
3200
2100
620800
1160000
59500
64000
132200
233700
2500
2500
611300
610500
848600
990300
14200
30900
18500
994400
49500
57900
56800
1500
2000
2000
5500
0
0
19000
48000
47100
1666
1667
1667
54500
133000
83300
59900
58000
5500
3100
5300
5300
23052
22548
48500
386800
394100
968700
263200
12200
16300
17800
18000
18500
24800
25200
24700
23800
46700
44300
46800
47500
47500
46400
45400
45100
196500
195700
20500
20600
19700
19800
20200
20300
19200
20600
50800
52200
48700
51000
2000
2000
2000
24300
112300
18900
EAST RIVER
EAST RIVER
HUDSON AVENUE
HUDSON AVENUE
HUDSON AVENUE
HUDSON AVENUE
WATERSIDE
WATERSIDE
WATERSIDE
BROOKLYN NAVY YARD COGENERATION PARTNERS L P
WARBASSE COGEN FACILITY
LINDEN COGEN PLANT
not listed???
not listed???
not listed???
not listed???
not listed???
not listed???
not listed???
AMERICAN REF FUEL CO OF NIAGARA LP
CHATEAUGAY POWER STATION
GINNA
HIGH ACRES GAS RECOVERY
MONROE LIVINGSTON GAS RECOVERY
NINE MILE POINT
NINE MILE POINT
DANSKAMMER
DANSKAMMER
DANSKAMMER
DANSKAMMER
DANSKAMMER
DANSKAMMER
ROSETON
ROSETON
FITZAPATRICK
INDIAN POINT
INDIAN POINT 3
INDIAN POINT 3
INDIAN POINT 3
INDIAN POINT 3
PLANT NO 1
FAR ROCKAWAY
FAR ROCKAWAY
PLANT NO 2
PLANT NO 2
PLANT NO 2
PLANT NO 2
PLANT NO 2
PLANT NO 2
PLANT NO 2
PLANT NO 1
FULTON COGENERATION ASSOCIATES
GREENPORT
GREENPORT
GREENPORT
???
INDECK CORINTH ENERGY CENTER
INDECK OLEAN ENERGY CENTER
INDECK OSWEGO ENERGY CENTER
INDECK YERKES ENERGY CENTER
SENECA ENERGY
not listed
SENECA ENERGY
SENECA ENERGY
S A CARLSON
S A CARLSON
S A CARLSON
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
RAVENSWOOD
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
BARRETT
EAST HAMPTON
EAST HAMPTON
EAST HAMPTON
EAST HAMPTON
FAR ROCKAWAY
GLENWOOD GAS
2493
2493
2496
2496
2496
2496
2502
2502
2502
54914
50405
50405
50006
50472
50472
50277
6122
50568
50565
2589
2589
2480
2480
2480
2480
2480
2480
8006
8006
6110
2497
8907
8907
8907
8907
2678
2513
2513
2679
2679
2679
2679
2679
2679
2679
2678
54138
2681
2681
2681
50458
54076
50450
50451
54782
54782
54782
2682
2682
2682
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2500
2511
2511
2511
2511
2511
2511
2511
2511
2511
2511
2511
2511
2511
2511
2512
2512
2512
2512
2513
7869
49
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
Long Island Power Authority
Lyonsdale BioMass
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
Mirant Corporation
National Energy & Gas Trans. Inc.
New York Power Authority
New York State Elec. & Gas Corp.
Glenwood GT 02
Glenwood GT 03
Glenwood GT 04
Glenwood GT 05
Glenwood ST 04
Glenwood ST 05
Holtsville 1
Holtsville 2
Holtsville 3
Holtsville 4
Holtsville 5
Holtsville 6
Holtsville 7
Holtsville 8
Holtsville 9
Holtsville 10
Montauk 2
Montauk 3
Montauk 4
Northport 1
Northport 2
Northport 3
Northport 4
Northport GT
Port Jefferson 1
Port Jefferson 2
Port Jefferson 3
Port Jefferson 4
Port Jefferson GT 01
S Hampton 1
Shoreham 1
Shoreham 2
Southold 1
Wading River 1
Wading River 2
Wading River 3
West Babylon 4
Babylon (RR)
Hempstead (RR)
Huntington
Islip(RR)
Oceanside (LF)
Trigen-NDEC
Yaphank (LF)
E. Northport (LF)
Oyster Bay (LF)
Smithtown (LF)
South Oaks Hosp
Lyonsdale Power
Bowline 1
Bowline 2
Grahamsville
Hillburn GT
Lovett 3
Lovett 4
Lovett 5
Mongaup 1
Mongaup 2
Mongaup 3
Mongaup 4
Rio
Shoemaker GT
Swinging Bridge 1
Swinging Bridge 2
Madison Wind Power
Ashokan 1
Ashokan 2
Blenheim 1
Blenheim 2
Blenheim 3
Blenheim 4
Brentwood
Crescent 1
Crescent 2
Crescent 3
Crescent 4
Flynn
Gowanus 5
Gowanus 6
Harlem River 1
Harlem River 2
Hellgate 1
Hellgate 2
Jarvis 1
Jarvis 2
Kensico 1
Kensico 2
Kensico 3
Kent
Lewiston PS
Moses Niagara
Poletti 1
Pouch
St Lawrence - FDR
Vernon Blvd 2
Vernon Blvd 3
Vischer Ferry 1
Vischer Ferry 2
Vischer Ferry 3
Vischer Ferry 4
ADG FC
Bronx Zoo
Photovoltaic
Alice Falls 1
Alice Falls 2
Allegheny 8
Allegheny 9
Auburn - State St.
23688
23689
24219
24220
23550
23614
23690
23691
23692
23693
23694
23695
23696
23697
23698
23699
23721
23721
23721
23551
23552
23553
23650
23718
x
x
23555
23616
23713
24210
24211
23720
23715
23716
23719
23522
23547
23601
23714
23656
23647
23656
23656
23656
23656
23656
x
x
x
x
23803
23526
23595
23607
23639
23632
23642
23593
23641
23641
23641
23641
23641
23640
23641
23641
24146
23654
23654
23756
23757
23758
23759
24164
24018
24018
24018
24018
23794
24156
24157
24160
24161
24158
24159
23743
23743
23655
23655
23655
24152
23760
23760
23519
24155
23600
24162
24163
24020
24020
24020
24020
x
x
x
23915
23915
23528
23528
24147
Glenwood
Glenwood
Glenwood
Glenwood
Glenwood
Glenwood
Holtsville
Holtsville
Holtsville
Holtsville
Holtsville
Holtsville
Holtsville
Holtsville
Holtsville
Holtsville
Montauk
Montauk
Montauk
Northport
Northport
Northport
Northport
Northport
Port Jefferson
Port Jefferson
Port Jefferson
Port Jefferson
Port Jefferson
P Jefferson
P Jefferson
South Hampton
Shoreham
Shoreham
Southold
Shoreham
Shoreham
Shoreham
West Babylon
Babylon
Hempstead
Huntington
Ronkonkoma
Oceanside
Garden City
Yaphank
East Northport
Bethpage
Smithtown
Amityville
Lyonsdale
West Haverstraw
West Haverstraw
Grahamsville
Hillburn
Tomkins Cove
Tomkins Cove
Tomkins Cove
Forestburg
Forestburg
Forestburg
Forestburg
Glen Spey
Middletown
Forestburg
Forestburg
Madison
Ashokan
Ashokan
Gilboa NY
Gilboa NY
Gilboa NY
Gilboa NY
Brentwood
Crescent
Crescent
Crescent
Crescent
Holtsville
Brooklyn
Brooklyn
Bronx
Bronx
Bronx
Bronx
Hinckley
Hinckley
Kensico
Kensico
Kensico
Brooklyn
Niagara Falls
Niagara Falls
Queens
Staten Island
Massena
Queens
Queens
Vischer Ferry
Vischer Ferry
Vischer Ferry
Vischer Ferry
Yonkers
Bronx
Yonkers
Ausable
Ausable
Kittanning
Kittanning
Auburn
59
59
59
59
59
59
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
103
59
103
103
59
59
103
103
59
103
103
49
87
87
105
87
87
87
87
105
105
105
105
105
71
105
105
53
111
111
95
95
95
95
103
1
1
1
1
103
47
47
5
5
5
5
65
65
119
119
119
47
63
63
81
85
89
81
81
91
91
91
91
119
5
119
19
19
5
5
11
64700
65700
46700
46200
110200
101500
63300
63700
64200
63700
63800
64200
70200
60700
67300
67000
2000
2000
2000
373000
357700
360000
377200
18700
0
0
190200
192200
17700
45100
49800
12600
64200
22800
14700
97900
96500
100000
63500
14500
65000
23700
8300
1000
57000
3200
0
1300
900
240
20200
588000
502500
16000
51200
68500
175500
189700
700
900
900
1000
9300
43400
7700
4700
11000
1200
1200
264700
264200
264200
264000
47000
3025
3025
3025
3025
165400
46900
46900
46500
46400
47000
46100
4500
4500
700
700
700
47000
240000
2433300
885700
47000
855300
46000
45300
2875
2875
2875
2875
200
2000
480
1640
660
15940
21560
7500
GLENWOOD GAS
GLENWOOD GAS
GLENWOOD
GLENWOOD GAS
GLENWOOD
GLENWOOD
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
HOLTSVILLE
MONTAUK
MONTAUK
MONTAUK
NORTHPORT
NORTHPORT
NORTHPORT
NORTHPORT
NORTHPORT
PORT JEFFERSON
PORT JEFFERSON
PORT JEFFERSON
PORT JEFFERSON
PORT JEFFERSON
PORT JEFFERSON
PORT JEFFERSON
SOUTH HAMPTON
SHOREHAM
SHOREHAM
SOUTHOLD
WADING RIVER
WADING RIVER
WADING RIVER
WEST BABYLON
BABYLON RESOURCE RECOVERY FACILITY
AMERICAN REF FUEL CO OF HEMPSTEAD
HUNTINGTON RESOURCE RECOVERY FACILITY
MAC ARTHUR WASTE TO ENERGY FACILITY
OCEANSIDE LANDFILL
TRIGEN NASSAU ENERGY CORP
???
NORTHPORT
OYSTER BAY ENERGY PARTNERS LP
SMITHTOWN ENERGY PARTNERS LP
SOUTH OAKS HOSPITAL
LYONSDALE POWER CO LLC
BOWLINE POINT
BOWLINE POINT
GRAHAMSVILLE
HILLBURN
LOVETT
LOVETT
LOVETT
MONGAUP
MONGAUP
MONGAUP
MONGAUP
MONGAUP
SHOEMAKER
MONGAUP
MONGAUP
MADISON WINDPOWER
ASHOKAN
ASHOKAN
BLENHEIM-GILBOA
BLENHEIM-GILBOA
BLENHEIM-GILBOA
BLENHEIM-GILBOA
RICHARD M FLYNN
CRESCENT
CRESCENT
CRESCENT
CRESCENT
HOLTSVILLE
GOWANUS GAS TURBINES STATION
not in eGRID
not listed
not in eGRID
not listed
JARVIS (HINCKLEY)
JARVIS (HINCKLEY)
KENSICO
KENSICO
KENSICO
LEWISTON
MOSES NIAGARA
POLETTI
MOSES POWER DAM
RAVENSWOOD
7869
7869
2514
7869
2514
2514
8007
8007
8007
8007
8007
8007
8007
8007
8007
8007
2515
2515
2515
2516
2516
2516
2516
2516
2517
2517
2517
2517
2517
2517
2517
2519
2518
2518
2520
7146
7146
7146
2521
50649
10642
50656
51038
50348
52056
VISCHER FERRY
VISCHER FERRY
VISCHER FERRY
VISCHER FERRY
not listed
BRONX ZOO
not listed
ALICE FALLS HYDROELECTRIC PROJECT
PROSEPECT
PROSEPECT
PROSEPECT
2686
2686
2686
2686
2516
50345
50344
50136
54526
2625
2625
2627
2628
2629
2629
2629
2630
2630
2630
2630
2630
2632
2630
2630
55769
88
88
2691
2691
2691
2691
7314
2685
2685
2685
2685
8007
2494
2494
808
808
650
650
650
54076
2692
2693
2491
54149
2694
2500
50427
54391
54391
2599
2599
2599
50
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
NFR Power, Inc.
Niagara Mohawk Power Corp.(1)
Cadyville 1
Cadyville 2
Cadyville 3
High Falls 1
High Falls 2
High Falls 3
Kent Falls 1
Kent Falls 2
Kent Falls 3
Mill C 1
Mill C 2
Mill C 3
Rainbow Falls 1
Rainbow Falls 2
Mechanicville 1
Mechanicville 2
Indeck-Silver Springs
Lockport Cogen Pr
Lockport Cogen Pr
Lockport Cogen Pr
Lockport Cogen Pr
Saranac Energy 1
Saranac Energy 2
Saranac Energy 3
Lower Saranac 1
Lower Saranac 2
Lower Saranac 3
Walden Hydro
AA Dairy
Auburn - Mill St.
Auburn - No. Div.St
Chasm Hydro
Cowee
Croton Fall Hydro
Goodyear Lake
Harris Lake
Montville Falls
Triton
Waterloo 2
Waterloo 3
Waterloo 4
Energy Systems North East
Adir HY-Hudson Falls
Adir HY-South Glens Falls
Adir-Resource Recovery
CHI-Lachute
DD Corp-Dolgeville
Fortis Energy - Philadelphia
Fortis Energy - Moose River
General Mills Inc
Glen Park Assoc.
International Paper - Curtis
International Paper - Palmer
Little Falls Hydro
Onondaga County
Oxbow Power- N.Tonawanda
Pyrites Assoc.
Adams Hydro
Algon.-Burt Dam Assoc.
Algon.-Christine.Falls
Algon.-Cranberry. Lake
Algon.-Forresport
Algon.-Herkimer
Algon.-Hollow Dam Power
Algon.-Kayuta
Algon.-Ogdensburg
Algon.-Otter Creek
Azure Mnt. Pwr Co
Beaver Falls #1
Beaver Falls #2
Bellows Towers
Black River Hyd#1
Black River Hyd#2
Black River Hyd#3
Boralex - Middle Falls
Cal Ban Power
Cellu-Tissue Corp - Natural Dam
Champlain Spinner
CHI Dexter Hydro
CHI Diamond Is HY
CHI Fowler
CHI Hailsboro #3
CHI Hailsboro #4
CHI Hailsboro #6
CHI Theresa Hydro
Chittenden Falls
City of Oswego (H.D.)
City of Utica - Sand Road
City of Utica -Trenton Falls
City of Watertown
City of Watervliet
Cons. HY-Victory
Copenhagen Assoc.
Cottrell Paper
Empire HY Partner
Finch Pruyn
Fort Miller Assoc
Fortis Energy - Diana
Franklin Hydro
Green Island Power Authority
Hampshire Paper
Hewittville Hydro
Hollings&Vose-Center
Hollings&Vose-Lower
Hollings&Vose-Upper
Hoosick Falls
Hydrocarbon-Algny
Indian Falls HY
Kings Falls
Laidlaw Energy
23628
23628
23628
23628
23628
23628
23628
23628
23628
23628
23628
23628
23628
23628
23645
23645
23768
23791
23791
23791
23791
23793
23793
23793
23913
23913
23913
24148
x
x
x
x
x
x
x
x
x
x
x
x
x
23901
24011
24028
23798
23643
23807
x
24016
23808
23778
23988
23988
24013
23987
24026
24023
x
23774
23643
x
23633
23633
x
23633
x
x
x
x
x
x
23633
23633
23633
23643
23774
x
23643
23643
23643
23643
23643
23643
23643
23643
23643
24041
23633
23633
23805
23643
23643
x
23643
x
x
23643
x
24054
x
x
x
x
x
x
23643
23774
x
x
23774
Schuyler Falls
Schuyler Falls
Schuyler Falls
Saranac
Saranac
Saranac
Schuyler Falls
Schuyler Falls
Schuyler Falls
Plattsburgh
Plattsburgh
Plattsburgh
Ausable
Ausable
Stillwater
Stillwater
Silver Springs
Lockport
Lockport
Lockport
Lockport
Plattsburgh
Plattsburgh
Plattsburgh
Schuyler Falls
Schuyler Falls
Schuyler Falls
Walden
Ithaca
Auburn
Auburn
Chateaugay
Berlin
North Salem
Milford
Newcomb
Moravia
Chateaugay
Waterloo
Waterloo
Waterloo
North East
Hudson Falls
Moreau
Dolgeville
Corinth
Corinth
Little Falls
N Tonawanda
Canton
Port Leyden
Port Leyden
Port Leyden
Easton
Natural Dam
Dexter
Watertown
Fowler
Hailsboro
Hailsboro
Hailsboro
Theresa
Copenhagen
Green Island
Ellicottville
19
19
19
19
19
19
19
19
19
19
19
19
19
19
91
91
121
63
63
63
63
19
19
19
19
19
19
71
109
11
11
33
83
119
75
31
11
33
99
99
99
49
91
91
115
31
43
45
49
29
45
91
91
43
67
29
89
45
63
41
49
65
43
89
65
89
49
33
49
49
33
49
49
49
115
89
31
45
45
49
89
89
89
89
89
75
65
65
45
1
91
49
91
49
113
91
49
33
1
89
89
115
115
115
83
3
45
49
9
864
864
3072
4382
4382
7736
2975
2975
5950
968
1257
3675
800
800
9650
9650
59700
46098
46098
46098
78600
80498
80498
79504
2866
2867
2867
1400
100
400
800
1000
500
200
1500
1700
200
2800
534
533
533
83500
43700
15000
11800
8500
6000
3300
11900
4700
41600
30550
30550
13300
32800
59400
7200
0
323
802
290
2923
64
746
436
2325
327
521
0
584
178
950
493
3232
1758
10
6
360
3859
1115
251
666
1639
744
1154
448
8212
179
107
3895
924
1342
1721
209
847
685
3858
1352
172
5428
3343
2485
298
3
798
448
0
358
988
0
CADYVILLE
CADYVILLE
CADYVILLE
HIGH FALLS
HIGH FALLS
HIGH FALLS
KENT FALLS
KENT FALLS
KENT FALLS
MILL C
MILL C
MILL C
RAINBOW FALLS
RAINBOW FALLS
UPPER MECHANICVILLE
UPPER MECHANICVILLE
INDECK SILVER SPRINGS ENERGY CENTER
LOCKPORT ENERGY ASSOC LP LOCKPORT COGEN FACIL
SARANAC FACILITY
SARANAC FACILITY
SARANAC FACILITY
LOWER SARANAC HYDROELECTRIC FACILITY
WALDEN
not listed
?
?
CHASM
not listed
not listed
GOODYEAR LAKE PLANT
HARRIS LAKE
?
CHATEAUGAY HIGH FALLS HYDRO
not listed
not listed
not listed
HUDSON FALLS HYDROELECTRIC PROJECT
SOUTH GLENS FALLS HYDROELECTRIC PROJECT
ADIRONDACK RESOURCE RECOVERY FACILITY
LACHUTE HYDRO LOWER
DOLGEVILLE HYDROELECTRIC
PHILADELPHIA
MOOSE RIVER
GENERAL MILLS INC BUFFALO
GLEN PARK HYDROELECTRIC PROJECT
HUDSON RIVER MILL
CURTIS PALMER HYDROELECTRIC
LITTLE FALLS HYDRO
ONONDAGA COUNTY RESOURCE RECOVERY FACILITY
OXBOW POWER OF NORTH TONAWANDA NEW YORK INC
PYRITES PLANT
not listed
not listed
not listed
not listed
not listed
HERKIMER
HOLLOW DAM POWER CO PARTNERSHIP
not listed
not listed
not listed
not listed
BEAVER FALLS I
BEAVER FALLS II
not listed
PORT LEYDEN HYDROELECTRIC PROJECT
BLACK RIVER HYDRO ASSOCIATES
MIDDLE FALLS HYDROELECTRIC
2522
2522
2522
2530
2530
2530
2532
2532
2532
6486
6486
6486
6526
6526
625
625
50449
54041
54041
54041
54041
54574
54574
54574
10214
10214
10214
10848
CELLU TISSUE CORP NATURAL DAM MILL
not listed
DEXTER PLANT
DIAMOND ISLAND PLANT
not listed
HAILESBORO 4 PLANT
HAILESBORO 4 PLANT
HAILESBORO 4 PLANT
THERESA PLANT
not listed
PHOENIX HYDRO PROJECT
not listed
not listed
CITY OF WATERTOWN
NORMANSKILL HYDRO PROJECT
VICTORY MILLS
COPENHAGEN PLANT
54878
not listed
FINCH PRUYN CO INC
FORT MILLER HYDROELECTRIC FACILITY
DIANA HYDROELECTRIC
FRANKLIN
GREEN ISLAND
HAMPSHIRE PAPER CO INC
HEWITTVILLE HYDROELECTRIC
CLARKS MILL UPPER
CLARKS MILL UPPER
CLARKS MILL UPPER
not listed
not listed
not listed
not listed
LAIDLAW ENERGY & ENVIRONMENTAL INC
2550
50079
2528
50093
50405
54953
54772
10503
10752
10238
10197
10196
54564
50512
54088
54580
51034
50662
54131
10547
52057
10124
10490
54691
10817
10687
10687
10219
10538
10540
10544
10544
10544
10539
54865
2700
50123
10902
10545
10511
50514
10237
2564
6528
10116
50268
52067
52067
52067
10403
51
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
1605
1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
1647
1648
1649
1650
1651
1652
1653
1654
1655
1656
1657
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NRG Power, Inc.
NYSEG Solutions, Inc.
NYSEG Solutions, Inc.
Onondaga Cogeneration, LP
Orange and Rockland Utilities
PP&L EnergyPlus Co.
PP&L EnergyPlus Co.
PP&L EnergyPlus Co.
PP&L EnergyPlus Co.
PSEG Power New York Inc.
Laidlaw Energy
Laquidara-Long Falls
Lyonsdale Assoc. (Burrows)
Mechanicville
MM Albany Energy
Mt. Ida Assoc.
Newport HY Assoc
Northbrook - Lyons Falls P&P
Nottingham High School
Onondaga Energy Partners
Oswego County
Oswego HY Partners (Phoenix)
Riverrat Glass&Electric
Sandy Hollow HY
Seneca Limited
Stevens&Thompson Paper Co.
Stillwater Assoc.
Stillwater HY Partners
Synergics - Middle Greenwich
Synergics - Union Falls
Synergics - Upper Greenwich
Tannery Island
Town of Wells
Unionville Hydro
Valatie Falls
Valley Falls Assoc.
Village of Gouverneur
Village of Potsdam
Village of Saranac Lake
West End Dam Assoc.
William Allen
Bannertown P&L
Begent, H.A.
Bergan, W.C.
Blenheim Wind Power
Chapman, Jerry
Devine, W.T.
Dibble, C.
Fitzpatrick, R.
Hamond, E.
Hedrick, Robert
Helmer, Paul
Hess, Jos.& Kath.
Higgins, W.J.
Hurd, Dr. D.W.
Lewandowski, Paul
Marsden, Russel
Prossner, D.M.
Ryan, Robert
Schiefer, M.
Staples, Gary D.
Stellone, Gerald
Tallmon, Larry
Van Strander, J.M
Weber, Richard
Wind Development
Woodin, D.
Zingler, Rudy
Arthur Kill ST 2
Arthur Kill ST 3
Arthur Kill GT 1
Astoria GT 05
Astoria GT 07
Astoria GT 08
Astoria GT 10
Astoria GT 11
Astoria GT 12
Astoria GT 13
Astoria GT 2-1
Astoria GT 2-2
Astoria GT 2-3
Astoria GT 2-4
Astoria GT 3-1
Astoria GT 3-2
Astoria GT 3-3
Astoria GT 3-4
Astoria GT 4-1
Astoria GT 4-2
Astoria GT 4-3
Astoria GT 4-4
Dunkirk 1
Dunkirk 2
Dunkirk 3
Dunkirk 4
Dunkirk IC 2
Huntley 63
Huntley 64
Huntley 65
Huntley 66
Huntley 67
Huntley 68
Huntley IC 1
Ilion
Oswego 5
Oswego 6
Oswego IC 1
Oswego IC 2
Oswego IC 3
Carthage Energy
South Glens Falls Energy
Onondaga Cogen
Buttermilk Falls
Intl. Crossroads
Landfill G.Part19
Middletown LFG
Pilgrim GT1
Pilgrim GT2
Shoreham GT3
Shoreham GT4
Albany 1 (Ret. 10/04/04)
23774
x
24055
x
x
23643
23633
x
23634
23634
23634
23634
23643
x
23634
23643
x
23643
23643
23643
23643
x
23643
x
23643
23643
23568
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
23512
23513
23520
24106
24107
24108
24110
24225
24226
24227
24094
24095
24096
24097
24098
24099
24100
24101
24102
24103
24104
24105
23563
23564
23565
23566
x
23557
23558
23559
23560
23561
23562
x
23567
23606
23613
x
x
x
23857
23858
23986
x
x
x
x
24216
24217
24213
24214
23571
Ellicottville
Lyons Falls
Wells
Champion
Staten Island
Staten Island
Staten Island
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Queens
Dunkirk
Dunkirk
Dunkirk
Dunkirk
Dunkirk
Tonawanda
Tonawanda
Tonawanda
Tonawanda
Tonawanda
Tonawanda
Tonawanda
Ilion
Oswego
Oswego
Oswego
Oswego
Oswego
Carthage
S Glens Falls
Highland Falls
Mahwah NJ
Goshen
Goshen
Pilgrim
Pilgrim
Shoreham
Shoreham
Bethlehem
9
45
49
91
1
83
43
49
67
67
75
67
31
45
67
115
43
91
115
19
115
45
41
89
21
83
89
89
33
45
53
35
65
57
39
63
45
37
57
57
63
75
45
37
65
69
75
65
65
89
83
51
65
45
55
9
73
85
85
85
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
81
13
13
13
13
13
29
29
29
29
29
29
29
43
75
75
75
75
75
45
91
67
71
3
71
71
103
103
103
103
1
0
2050
2840
1718
1680
1661
1333
6658
0
413
613
1728
397
486
175
7036
1396
1916
105
2380
310
1487
417
2621
72
1799
63
524
82
4226
1
2
1
10
10
10
18
4
2
2
10
4
10
4
10
5
2
1
10
20
10
4
12
1
4
75
1
5
350400
502800
14100
15500
16400
16700
30900
28700
26600
29800
46700
47300
47200
45800
46800
48400
47400
47500
47600
47400
48300
49200
85200
100700
208300
199500
500
0
0
85000
85000
194000
202000
700
64800
852800
835800
700
800
800
65200
66700
88000
100
3000
2500
3000
49000
49000
49000
49000
0
LONGFALLS FACILITY
LYONSDALE ASSOCIATES
UPPER MECHANICVILLE
ALBANY LANDFILL
MT IDA HYDROELECTRIC
NEWPORT HYDRO
not listed
not listed
ONONDAGA ENERGY PARTNERS LP
OSWEGO COUNTY ENERGY RECOVERY
not listed
not listed
not listed
DAHOWA HYDRO
STILLWATER RESERVOIR HYDRO
STILLWATER HYDRO ELECTRIC PROJECT
CARVER FALLS
UNION FALLS
CENTER FALLS
TANNERY ISLAND POWER CO
not listed
UNIONVILLE HYDRO PROJ 2499 NY
?
VALLEY FALLS HYDROELECTRIC FACILITY
not listed
not listed
not listed
WEST END DAM HYDROELECTRIC PROJECT
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
not listed
WETHERSFIELD
not listed
ARTHUR KILL GENERATION STATION
ASTORIA GAS TURBINES
DUNKIRK GENERATING STATION
HUNTLEY GENERATING STATION
INDECK ILION ENERGY CENTER
OSWEGO HARBOR POWER
OSWEGO HARBOR POWER
OSWEGO HARBOR POWER
OSWEGO HARBOR POWER
OSWEGO HARBOR POWER
CARTHAGE ENERGY LLC
SOUTH GLENS FALLS ENERGY LLC
ONONDAGA COGENERATION
not listed
not listed
ORANGE COUNTY NEW YORK
MIDDLETOWN LFG LTD CONVERSION SITE 2&3
RICHARD M FLYNN
RICHARD M FLYNN
SHOREHAM
SHOREHAM
ALBANY GENERATING STATION
10403
54548
50652
625
55155
50031
50354
50346
50907
50651
50280
50513
54395
6456
50176
10853
50416
50269
50034
50759
55368
2490
2490
2490
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
55243
2554
2554
2554
2554
2554
2549
2549
2549
2549
2549
2549
2549
50459
2594
2594
2594
2594
2594
10620
10618
50855
10047
10549
7314
7314
2518
2518
2539
52
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Reliant Energy
Rensselaer Cogeneration, LLC
Rochester Gas and Electric Corp.
Rockville Centre, Village of
Select Energy NY, Inc.
Project Orange Associates
Project Orange Associates
Selkirk Cogen Partners, L.P.
Selkirk Cogen Partners, L.P.
Seneca Falls Power
Seneca Falls Power
Seneca Falls Power
Sithe Energies Inc.
Sithe Energies Inc.
Sithe Energies Inc.
Sithe Energies Inc.
Sithe Energies Inc.
TransAlta
TransCanada Power Marketing, Ltd.
Trigen Corporation
Wheelabrator Westchester, LP
WPS Energy
WPS Energy
WPS Energy
Wyeth Pharmaceuticals
Wyeth Pharmaceuticals
Albany 2 (Ret. 03/01/05)
Albany 3 (Ret. 03/01/05)
Albany 4 (Ret. 03/01/05)
Astoria 2
Astoria 3
Astoria 4
Astoria 5
Astoria GT 01
Gowanus 1-1
Gowanus 1-2
Gowanus 1-3
Gowanus 1-4
Gowanus 1-5
Gowanus 1-6
Gowanus 1-7
Gowanus 1-8
Gowanus 2-1
Gowanus 2-2
Gowanus 2-3
Gowanus 2-4
Gowanus 2-5
Gowanus 2-6
Gowanus 2-7
Gowanus 2-8
Gowanus 3-1
Gowanus 3-2
Gowanus 3-3
Gowanus 3-4
Gowanus 3-5
Gowanus 3-6
Gowanus 3-7
Gowanus 3-8
Gowanus 4-1
Gowanus 4-2
Gowanus 4-3
Gowanus 4-4
Gowanus 4-5
Gowanus 4-6
Gowanus 4-7
Gowanus 4-8
Narrows 1-1
Narrows 1-2
Narrows 1-3
Narrows 1-4
Narrows 1-5
Narrows 1-6
Narrows 1-7
Narrows 1-8
Narrows 2-1
Narrows 2-2
Narrows 2-3
Narrows 2-4
Narrows 2-5
Narrows 2-6
Narrows 2-7
Narrows 2-8
Rensselaer Cogen
Allegany GT
Allegany ST
Mills Mills
Mt Morris
Station 2 1
Station 26 1
Station 5 1
Station 5 2
Station 5 3
Wiscoy 1
Wiscoy 2
Beebee GT
Station 9
Russell 1
Russell 2
Russell 3
Russell 4
Charles P Keller 7
Charles P Keller 8
Charles P Keller 9
Charles P Keller 10
Charles P Keller 11
Charles P Keller 12
Charles P Keller 13
Charles P Keller 14
Fort Drum
Project Orange 1
Project Orange 2
Selkirk - 1
Selkirk - 2
Seneca Falls 1
Seneca Falls 2
Seneca Falls 4
Sithe-Batavia
Sithe-Independence
Sithe-Massena
Sithe-Ogdensburg
Sithe-Sterling
Binghamton Cogen
Fort Orange
Trigen-Syracuse
Wheelabrator Westchester
WPS-Beaver Falls
WPS-Niagara
WPS-Syracuse
Lederle 1
Lederle 2
23572
23573
23574
24149
23516
23517
23518
23523
24077
24078
24079
24080
24084
24111
24112
24113
24114
24115
24116
24117
24118
24119
24120
24121
24122
24123
24124
24125
24126
24127
24128
24129
24130
24131
24132
24133
24134
24135
24136
24137
24228
24229
24230
24231
24232
24233
24234
24235
24236
24237
24238
24239
24240
24241
24242
24243
23796
23514
23514
23604
23604
23604
23604
23604
23604
23604
23604
23604
23619
23652
23602
23532
23549
23556
23916
23917
23918
23919
23920
23921
24012
24140
23780
24174
24166
23801
23799
23627
23627
23627
24024
23800
23902
24021
23777
23790
23900
23856
23653
23983
23895
23985
23769
23769
Bethlehem
Bethlehem
Bethlehem
Queens
Queens
Queens
Queens
Queens
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Brooklyn
Rensselaer
Hume
Hume
Fillmore
Mt Morris
Rochester
Rochester
Rochester
Rochester
Rochester
Fillmore
Fillmore
Rochester
Rochester
Greece
Greece
Greece
Greece
Rockville Centre
Rockville Centre
Rockville Centre
Rockville Centre
Rockville Centre
Rockville Centre
Rockville Centre
Rockville Centre
Watertown
Syracuse
Syracuse
Selkirk
Selkirk
Seneca Falls
Seneca Falls
Seneca Falls
Batavia
Scriba
Massena
Ogdensburg
Sherrill
Binghamton
Castleton
Syracuse
Peekskill
Beaver Falls
Niagara
Syracuse
Pearl River
Pearl River
1
1
1
81
81
81
81
81
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
47
83
3
3
3
51
55
55
55
55
55
3
3
55
55
55
55
55
55
59
59
59
59
59
59
59
59
45
67
67
1
1
99
99
99
37
75
89
89
65
7
83
67
119
49
63
67
87
87
0
0
0
181300
372400
376200
351100
0
22900
22200
23000
22100
23000
21700
23000
22600
21700
20200
19500
24400
23500
22300
22700
22800
22500
20200
20400
23700
22400
20800
22800
23700
22600
23400
21200
21600
19900
23000
22400
23100
24700
23500
20200
24000
23800
23600
23200
24600
24200
23500
23300
19200
25700
25100
21200
22100
79000
40150
21850
200
300
6100
2800
12100
12100
16900
600
500
18000
17000
47000
60000
57000
81000
2000
2700
3200
3100
5200
5300
5400
6000
53400
45300
45800
111600
325100
1650
1650
1800
64300
1081900
90700
88800
65100
49700
73000
77200
52000
81000
49500
90000
9700
9700
ASTORIA GENERATING STATION
NARROWS GENERATING STATION
RENSSELAER COGEN
ALLEGANY COGEN
ALLEGANY COGEN
WISCOY 170
MT MORRIS 160
ROCHESTER 2
ROCHESTER 26
ROCHESTER 5
ROCHESTER 5
ROCHESTER 5
WISCOY 170
WISCOY 170
ROCHESTER 3
ROCHESTER 9
ROCHESTER 7
ROCHESTER 7
ROCHESTER 7
ROCHESTER 7
CHARLES P KELLER
CHARLES P KELLER
CHARLES P KELLER
CHARLES P KELLER
CHARLES P KELLER
CHARLES P KELLER
CHARLES P KELLER
CHARLES P KELLER
BLACK RIVER POWER LLC ELECTRIC GENERATION FACILITY
PROJECT ORANGE ASSOCIATES LP
SELKIRK COGEN PARTNERS LP
SENECA ENERGY
SENECA ENERGY
SENECA ENERGY
SENECA POWER PARTNERS LP
MASSENA POWER PLANT
OGDENSBURG
STERLING ENERGY FACILITY
BINGHAMTON
FORT ORANGE FACILITY TRANSCANADA POWER
BUCHANAN
BEAVER FALLS
NIAGARA FALLS
SYRACUSE
LEDERLE LABORATORIES
2539
2539
2539
8906
8906
8906
8906
8906
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2494
2499
2499
2499
2499
2499
2499
2499
2499
2499
2499
2499
2499
2499
2499
2499
2499
54034
7784
7784
2646
2637
2639
2638
2641
2641
2641
2646
2646
2640
2644
2642
2642
2642
2642
2695
2695
2695
2695
2695
2695
2695
2695
10464
54425
54425
10725
10725
54782
54782
54782
54593
54547
54592
52058
50744
55600
10190
50651
4233
10617
50202
10621
10521
10521
Multiple iterations of mappings were attempted prior to this fairly successful
one. As is clear from some examples sited in the seams data section and looking through
this, the names are very frequently different between the data sources. Attempts at
53
matching plants by name alone, the only cross-referenceable data available from some
sources, is not possible.
8. Lambda search on eGRID Data
Sorting the eGRID generator listings by the calculated marginal costs, it is easy
to use the most basic of economic dispatches, the lambda search method, to determine
the dispatch were line constraints not a concern. Table 15 shows the eGRID generators
sorted in order of increasing calculated marginal costs, assuming that bids are placed at
generator marginal costs for plants’ full capacity. In reality, reserve margins are needed
to ensure system stability in case of faults so generators would not all be supplying
100% of their capacity. For the purposes of this study, reserve requirements will be
ignored.
Additionally, real system dispatches cannot be done for a snapshot in time in
isolation. One must consider the current state of the generators and the projected load
demand. Base load units such as coal and nuclear plants must operate for a minimum
amount of time after being started up and must remain off for a specified duration before
being restarted. A unit commitment step would need to be performed to determine which
generators to turn on and which to turn off based on costs, current state, unit
characteristics, and forecasted demand. For the purposes of this study, only isolated
snapshots will be considered, understanding that this would be a very real limitation in
real operations.
Additional constraints that must be considered during unit commitment are crew
constraints, must run unit constraints, and fuel and hydro constraints. Crew constraints
refers to the fact that at a single plant, it is possible that multiple generators cannot be
started simultaneously because there is a finite staff resource to go through the start up
procedures. Some units are designated as must run units either based on
system
needs at the time of year or based on political requirements. For example, wind power
plants are operated as must run generators in New York. When the wind blows and they
produce power, the ISO must manage the system to accept that power. In turn, the must
run wind plants always bid zero and are not involved in market speculation. They are
54
price takers, not price setters. At times there are units with fuel constraints or hydro units
with water resource constraints. Either lack of fuel or water can cause the unit to run at
lower than desired levels or a need to burn or run through the fuel or water may cause
the units to run at a higher level than otherwise. These present very difficult additions to
unit commitment decision algorithms.
Methods for unit commitments include priority list schemes, dynamic
programming, and Lagrange relaxation. With each of these methods, as more factors are
considered and the algorithms become more complex, the need for timely operation
must be kept in mind. As computing power continues to grow, more elaborate and often
improved methods for unit commitment can be realized. For the purposes of this study,
the unit commitment step will not be considered and a simple snapshot economic
dispatch will be determined.
The yellow line shows the marginal unit for a summer day’s base load of roughly
15,000MW in the simple lambda search economic dispatch. The Northport oil generator,
at a marginal cost of $32.42/MWh sets the price that generators are paid. All generators
with bids below Northport are taken for their full output and paid the marginal unit’s
bid. The marginal unit then supplies the remaining demand. All units with bids over
Northports are rejected.
Similarly, the blue line shows the peak winter demand recorded in New York,
25,540MW. The red line, farther down, shows the new summer peak demand of
33,879MW, recorded at 4pm on August 1, 2006 during the writing of this report. This
broke the previous all time demand record of 32,075MW from the summer of 2005.
August 2, 2006 is predicted to have an even higher peak load.
55
Table 15 - eGRID generators sorted by calculated marginal cost. The yellow line
shows the marginal unit for summer base load, the blue line for winter peak load,
and the red line for summer peak load
Plant name
OSWEGO COUNTY ENERGY RECOVERY
CORNELL UNIVERSITY CENTRAL HEATING PLANT
DEFERIET NEW YORK
BUFFALO PAPERBOARD CORP
TICONDEROGA MILL
YALEVILLE
BEAVER FALLS II
MACOMB
PORT LEYDEN HYDROELECTRIC PROJECT
HOLLOW DAM POWER CO PARTNERSHIP
CLARKS MILL UPPER
CELLU TISSUE CORP NATURAL DAM MILL
HEUVELTON
CLARK MILLS LOWER
DIAMOND ISLAND PLANT
NORMANSKILL HYDRO PROJECT
FULTON
CENTER FALLS
HERKIMER
THERESA PLANT
TALCVILLE
GOODYEAR LAKE PLANT
HAILESBORO 4 PLANT
BEAVER FALLS I
ELMER
GLENWOOD
SCHUYLERVILLE
CHASM HYDRO PARTNERSHIP
CHATEAUGAY HIGH FALLS HYDRO
VICTORY MILLS
NEWPORT HYDRO
STILLWATER RESERVOIR HYDRO
CORNELL HYDRO
DIANA HYDROELECTRIC
TANNERY ISLAND POWER CO
NORWOOD
RAYMONDVILLE
SEWALLS
WAPPINGER FALLS HYDROELECTRIC
BELFORT
OSWEGO FALL WEST
FRANKLIN
MIDDLE FALLS HYDROELECTRIC
PARISHVILLE
WALDEN
VALLEY FALLS HYDROELECTRIC FACILITY
UNION FALLS
EEL WEIR
PIERCEFIELD
SOUTH EDWARDS
WARRENSBURG HYDROELECTRIC
EFFLEY
EAST NORFOLK
HEWITTVILLE HYDROELECTRIC
MT IDA HYDROELECTRIC
SISSONVILLE HYDROELECTRIC
UNIONVILLE HYDRO PROJ 2499 NY
LYONSDALE ASSOCIATES
COPENHAGEN PLANT
LONGFALLS FACILITY
CHASM
FOURTH BRANCH HYDROELECTRIC FACILITY
FORESTPORT
HAMPSHIRE PAPER CO INC
PHOENIX HYDRO PROJECT
STILLWATER HYDRO ELECTRIC PROJECT
PHILADELPHIA
OGDENSBURG
LACHUTE HYDRO LOWER
MONGAUP
DEXTER PLANT
ALLENS FALLS
HIGLEY
OSWEGO FALLS EAST
TAYLORVILLE
WEST END DAM HYDROELECTRIC PROJECT
NORFOLK
WATERPORT
HYDRAULIC RACE
HIGH FALLS
JOHNSONVILLE
SUGAR ISLAND
DOLGEVILLE HYDROELECTRIC
FORT MILLER HYDROELECTRIC FACILITY
SWINGING BRIDGE I
EPHRATAH
LACHUTE HYDRO UPPER
HERRINGS
KAMARGO
BLACK RIVER
FLAT ROCK
GREEN ISLAND
EAGLE
INGHAMS
SWINGING BRIDGE 2
HANNAWA
LIGHTHOUSE HILL
WEST DELAWARE TUNNEL PLANT
Plant
generator
capacity
(MW)
3.64
7.59
8.11
1.50
42.10
0.73
1.00
1.00
1.00
1.00
1.01
1.02
1.04
1.07
1.20
1.20
1.25
1.27
1.28
1.30
1.34
1.40
1.49
1.50
1.50
1.50
1.55
1.60
1.70
1.70
1.83
1.85
1.87
1.88
1.88
2.00
2.00
2.00
2.00
2.04
2.10
2.26
2.30
2.30
2.40
2.45
2.50
2.60
2.70
2.70
2.88
2.90
2.96
3.00
3.00
3.00
3.00
3.00
3.00
3.30
3.33
3.35
3.35
3.40
3.48
3.50
3.50
3.65
3.75
3.80
4.00
4.30
4.40
4.48
4.50
4.50
4.50
4.50
4.65
4.69
4.80
4.80
4.80
5.00
5.00
5.00
5.10
5.20
5.40
5.40
5.70
6.00
6.00
6.00
6.00
6.05
6.40
6.70
7.00
7.20
7.50
7.50
8.00
Plant
primary
fuel
MSW
BIT
BIT
NG
BL
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
Average
Operating Cost
Adjusted
Fossil Fuel Operating Using Heat Rate
CHP plant Heat Rate to Cost based Cost based Scaled to Match Plant annual Plant annual Plant annual
Fossil Fuel
electric
account for
on Heat
on Heat
National
NOx output SO2 output
CO2 output
Cost 2005 allocation
CHP
Rate
Rate
Average
emission rate emission rate emission rate
($/MMBtu)
factor
(Btu/kWh)
($/MWh)
($/MWh)
($/MWh)
(lbs/MWh)
(lbs/MWh)
(lbs/MWh)
0.0953
819.7
0.00
3.41
4.40
1.49
447.66
1.54
0.1480
1,303.9
2.01
2.63
3.84
4.91
16.76
1,735.26
1.54
0.1642
1,452.0
2.24
2.93
4.27
7.12
17.25
1,810.76
8.2
0.0697
599.6
4.92
5.45
5.31
1.67
0.05
1,012.53
0.2015
1,681.6
0.00
7.77
1.17
1.68
194.12
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
N/A
0.0
0.00
8.69
0.00
0.00
0.00
56
MINETTO
MOSHIER
PYRITES PLANT
VARICK
GRANBY
RIO
DAHOWA HYDRO
DEFERIET
NEW YORK STATE DAM HYDRO
MOOSE RIVER
LITTLE FALLS HYDRO
SCHAGHTICOKE
SOUTH GLENS FALLS HYDROELECTRIC PROJECT
BLAKE
SOFT MAPLE
BROWNS FALLS
PROSEPECT
GRAHAMSVILLE
SOUTH COLTON
TRENTON FALLS
BEARDSLEE
E J WEST
RAINBOW FALLS
STARK
FIVE FALLS
BENNETTS BRIDGE
SHERMAN ISLAND
STEWARTS BRIDGE
COLTON
GLEN PARK HYDROELECTRIC PROJECT
HUDSON FALLS HYDROELECTRIC PROJECT
SCHOOL STREET
SPIER FALLS
CURTIS PALMER HYDROELECTRIC
MT MORRIS 160
WISCOY 170
CARVER FALLS
RAINBOW FALLS
ROCHESTER 26
KENSICO
HIGH FALLS
ASHOKAN
DASHVILLE
CADYVILLE
MILL C
ROCHESTER 2
CITY OF WATERTOWN
JARVIS (HINCKLEY)
CRESCENT
VISCHER FERRY
KENT FALLS
STURGEON
HIGH FALLS
UPPER MECHANICVILLE
NEVERSINK
ROCHESTER 5
LEWISTON
MOSES POWER DAM
BLENHEIM-GILBOA
MOSES NIAGARA
FINCH PRUYN CO INC
KODAK PARK SITE
TATE&LYLE NORTH AMERICAN SUGARS INC
HUDSON AVENUE
S A CARLSON
WATERSIDE
MIDDLETOWN LFG LTD CONVERSION SITE 2&3
DUTCHESS COUNTY RESOURCE RECOVERY FACILITY
COGENT LITTLE FALLS GP
FITZAPATRICK
INDIAN POINT 3
LACKAWANNA FACILITY
GINNA
INDIAN POINT
NINE MILE POINT
BABYLON RESOURCE RECOVERY FACILITY
FULTON COGENERATION ASSOCIATES
NEW YORK UNIVERSITY CENTRAL PLANT
SENECA ENERGY
HUDSON RIVER MILL
AES SOMERSET LLC
NIAGARA FALLS
GREENPORT
MONTAUK
AES CAYUGA
NORTHPORT
AES GREENIDGE
WADING RIVER
U S GYPSUM OAKFIELD
DANSKAMMER
PORT JEFFERSON
LOVETT
ROCHESTER 7
AES WESTOVER
BLACK RIVER POWER LLC ELECTRIC GENERATION FACILITY
EAST HAMPTON
ROSETON
BROOKLYN NAVY YARD COGENERATION PARTNERS L P
8.00
8.00
8.20
8.80
10.00
10.00
10.50
10.80
11.40
12.60
13.10
13.12
13.89
14.40
15.00
15.00
17.33
18.00
19.35
19.60
20.00
20.00
22.50
22.50
22.50
28.75
28.80
30.00
30.00
32.75
36.03
38.80
44.40
59.27
0.34
1.08
1.90
2.64
3.00
3.00
3.24
4.76
4.80
5.53
6.05
6.50
8.12
9.00
11.60
11.60
12.40
14.40
15.00
16.53
25.00
43.74
240.00
912.00
1000.00
2250.00
40.89
200.58
11.50
50.00
48.90
71.75
90.60
199.80
6.10
9.20
4.50
883.00
1013.00
25.00
517.14
1326.25
1901.05
17.00
50.00
8.21
11.20
38.40
560.00
727.89
56.00
6.97
6.00
306.00
760.00
98.00
1516.00
138.80
238.50
5.80
537.41
454.00
449.10
252.60
118.75
49.90
27.30
1242.00
336.62
37.80
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WAT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
WT
BL
BIT
NG
MWC
OIL
COL
BIT
GAS
LFG
MSW
NG
NUC
NUC
OG
UR
UR
UR
MWC
NG
NG
LFG
NG
BIT
BIT
BIT
OIL
OIL
BIT
BIT
NG
OIL
BIT
OIL
NG
COL
OIL
BIT
COL
BIT
BIT
OIL
OIL
NG
NG
1.54
8.2
6.48
1.54
1.54
8.2
8.2
8.2
8.2
8.2
1.54
1.54
1.54
6.48
6.48
1.54
1.54
8.2
6.48
1.54
6.48
8.2
1.54
6.48
1.54
1.54
1.54
1.54
6.48
6.48
8.2
8.2
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
0.2432
0.3767
0.1507
0.3293
0.4785
0.4888
0.4449
0.2363
0.4337
0.4200
0.2142
N/A
N/A
0.2523
N/A
N/A
N/A
0.5110
0.2877
0.2578
0.6833
0.3369
N/A
N/A
N/A
N/A
N/A
N/A
N/A
0.4947
N/A
N/A
N/A
0.4824
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
0.6795
0.6523
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0
2,081.3
3,321.4
1,312.8
2,956.8
4,067.3
4,154.8
4,532.4
2,271.6
3,686.4
3,923.8
1,890.9
0.0
0.0
2,232.6
0.0
12.4
0.1
4,906.7
2,397.9
2,604.3
5,542.6
3,056.7
9,443.9
9,695.1
9,723.7
9,887.0
9,887.0
10,580.4
10,643.7
3,630.6
10,643.3
11,123.9
10,857.6
3,755.3
10,463.2
11,152.2
11,669.2
10,717.6
11,908.0
12,191.3
12,901.3
13,001.6
4,701.3
4,720.8
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
5.11
10.76
0.00
26.36
6.40
6.98
18.63
0.00
0.00
15.51
0.00
0.00
0.00
0.00
0.00
0.00
0.00
19.66
21.36
0.00
25.06
14.54
14.93
14.97
64.07
64.07
16.29
16.39
29.77
68.97
17.13
70.36
30.79
16.11
72.27
17.97
16.51
18.34
18.77
83.60
84.25
38.55
38.71
6.69
11.93
29.22
8.37
9.14
20.65
17.19
21.80
23.68
27.79
19.04
19.54
19.60
71.03
71.03
21.33
21.45
33.01
76.46
22.42
78.00
34.14
21.09
80.12
23.52
21.60
24.00
24.57
92.68
93.40
42.74
42.92
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
8.69
9.61
9.77
11.64
12.29
12.39
13.32
13.34
15.16
16.25
16.31
16.76
18.26
18.26
18.26
18.26
18.26
18.26
20.40
21.25
23.08
24.43
27.09
27.79
28.53
28.62
30.12
30.12
31.14
31.32
32.18
32.42
32.74
33.07
33.29
33.53
33.97
34.34
34.35
35.04
35.88
39.30
39.60
41.67
41.84
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
1.15
4.04
1.61
1.74
7.38
3.67
6.01
0.76
1.66
6.01
1.63
0.00
0.00
0.95
0.00
0.01
0.00
2.95
1.24
1.84
1.47
1.32
3.31
2.93
2.06
31.44
31.44
3.38
5.67
0.95
2.19
5.22
9.43
1.37
3.98
2.02
4.20
4.01
5.87
5.75
16.06
2.58
0.07
0.97
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.23
2.76
0.00
0.14
1.01
20.87
2.08
0.01
0.07
2.02
0.01
0.00
0.00
0.01
0.00
0.00
0.00
0.02
0.03
6.11
0.05
0.20
28.54
3.24
7.98
1.18
1.18
7.78
27.17
0.00
7.82
34.84
1.29
0.00
9.15
8.19
9.69
35.92
39.42
2.33
1.54
11.40
0.01
0.03
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
0.00
280.34
1,737.21
1,008.77
386.97
1,357.06
1,744.18
2,091.16
1,141.11
0.00
507.81
1,022.26
0.00
0.00
1,024.71
0.00
1.98
0.01
498.60
965.15
1,461.10
0.00
1,085.81
1,937.88
1,989.44
2,017.16
1,578.50
1,578.50
2,171.11
2,184.10
849.85
1,973.16
2,143.03
1,733.46
901.44
2,050.21
2,091.16
2,278.41
2,199.25
2,443.51
2,481.79
2,059.75
2,069.66
831.84
864.29
57
AES HICKLING LLC
NORTH SHORE TOWERS
HOLTSVILLE
ST MARYS HOSPITAL
AG ENERGY LP
BRONX ZOO
SOUTH CAIRO
HONEYWELL FARMS INC
59TH STREET
74TH STREET
STARRETT AT SPRING CREEK TOTAL ENERGY PLANT
ALBANY LANDFILL
AES JENNISON LLC
BEAVER FALLS
CHATEAUGAY POWER STATION
WETHERSFIELD
MADISON WINDPOWER
WEST BABYLON
LYONSDALE POWER CO LLC
ALLEGANY COGEN
HIGH ACRES GAS RECOVERY
SOUTH OAKS HOSPITAL
ROCHESTER 3
MOHAWK VALLEY LANDFILL GAS RECOVERY
BINGHAMTON
TRIGEN NASSAU ENERGY CORP
LFG ENERGY INC
EAST RIVER
BASSETT HEALTHCARE
MONROE LIVINGSTON GAS RECOVERY
LINDEN COGEN PLANT
SMITHTOWN ENERGY PARTNERS LP
HOFSTRA UNIVERSITY
OYSTER BAY ENERGY PARTNERS LP
OCEANSIDE LANDFILL
ONONDAGA ENERGY PARTNERS LP
INDECK YERKES ENERGY CENTER
COCA COLA BOTTLING CO OF NEW YORK
BUCHANAN
RICHARD M FLYNN
INDECK OSWEGO ENERGY CENTER
INDECK SILVER SPRINGS ENERGY CENTER
SOUTH GLENS FALLS ENERGY LLC
INDECK CORINTH ENERGY CENTER
ENTENMANNS ENERGY CENTER
NEW YORK METHODIST HOSPITAL
WESTCHESTER RESCO
AMERICAN REF FUEL CO OF HEMPSTEAD
ONONDAGA COUNTY RESOURCE RECOVERY FACILITY
FORT ORANGE FACILITY TRANSCANADA POWER
SARANAC FACILITY
ORANGE COUNTY NEW YORK
TBG COGEN
BARRETT
INDECK ILION ENERGY CENTER
SENECA POWER PARTNERS LP
OXBOW POWER OF NORTH TONAWANDA NEW YORK INC
ADIRONDACK RESOURCE RECOVERY FACILITY
HUNTINGTON RESOURCE RECOVERY FACILITY
GENERAL MILLS INC BUFFALO
ONONDAGA COGENERATION
LUTHERAN MEDICAL CENTER
SYRACUSE
POLETTI
GLENWOOD GAS
CHARLES P KELLER
SOUTH HAMPTON
CARR STREET GENERATING STATION
OSWEGO HARBOR POWER
GLENWOOD
RENSSELAER COGEN
FAR ROCKAWAY
MASSENA POWER PLANT
CARTHAGE ENERGY LLC
SHOREHAM
WEST COXSACKIE
RAVENSWOOD
PLANT NO 2
ROCHESTER 9
ST JOHNS RIVERSIDE HOSPITAL
WATCHTOWER EDUCATIONAL CENTER
MAC ARTHUR WASTE TO ENERGY FACILITY
STERLING ENERGY FACILITY
BOWLINE POINT
HARRIS LAKE
SOUTHOLD
HILLBURN
SHOEMAKER
PLANT NO 1
70.00
8.85
567.00
1.20
93.60
3.79
21.60
4.45
17.10
37.19
18.00
1.90
60.00
107.80
19.70
5.58
6.60
11.55
52.40
21.15
67.00
3.20
1.33
41.50
1.60
47.00
57.00
5.60
356.25
2.40
3.20
761.6
0.72
2.34
0.72
2.16
0.72
60.04
1.93
44.80
164.00
1305.48
121.14
57.57
56.68
59.74
357.63
147.00
5.45
1.88
74.50
78.60
39.50
60.00
285.60
3.00
221.35
84.03
42.00
661.40
63.80
67.38
55.34
15.00
25.00
3.80
90.68
400.00
105.93
1.63
102.70
883.00
16.00
33.57
11.50
125.38
1803.75
310.00
103.87
100.00
101.86
62.99
71.50
622.32
21.60
2375.35
37.39
19.00
0.60
2.25
12.50
65.30
1365.85
931.70
1155.00
23.49
1.75
14.00
762.00
348.10
46.50
41.90
13.41
BIT
NG
OIL
NG
NG
NG
OIL
NG
OIL
OIL
NG
LFG
BIT
NG
WDS
NG
WND
WND
OIL
WDS
GAS
LFG
NG
OIL
LFG
NG
NG
LFG
GAS
DFO
LFG
NG
LFG
NG
LFG
LFG
LFG
NG
NG
OIL
GAS
NG
NG
NG
NG
NG
NG
NG
NG
NG
MWC
MWC
MWC
NG
NG
LFG
NG
NG
NG
GAS
NG
NG
NG
MWC
MWC
NG
NG
RFO
NG
NG
NG
GAS
OIL
GAS
OIL
NG
RFO
GAS
NG
GAS
NG
NG
OIL
DFO
GAS
NG
OIL
GAS
NG
NG
MSW
NG
NG
NG
NG
NG
OIL
OIL
NG
NG
NG
NG
OIL
1.54
8.2
6.48
8.2
8.2
8.2
6.48
8.2
6.48
6.48
8.2
1.54
8.2
8.2
6.48
8.2
8.2
6.48
8.2
8.2
8.2
11.89
8.2
8.2
8.2
8.2
6.48
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
7.12
8.2
8.2
8.2
8.2
6.48
8.2
6.48
8.2
7.12
8.2
8.2
8.2
8.2
8.2
6.48
11.89
8.2
8.2
6.48
8.2
8.2
8.2
8.2
8.2
8.2
8.2
8.2
6.48
6.48
8.2
8.2
8.2
8.2
6.48
N/A
0.6564
N/A
0.3823
0.7829
0.6590
N/A
0.7938
N/A
N/A
0.4614
N/A
N/A
0.6176
N/A
0.7427
N/A
N/A
N/A
N/A
1.0000
N/A
0.6908
N/A
N/A
N/A
0.7708
N/A
0.6401
N/A
N/A
0.8254
N/A
0.8148
N/A
N/A
N/A
0.8534
0.7505
N/A
N/A
0.9716
0.8581
0.8308
0.8457
0.7494
0.8992
0.9389
0.8054
0.7841
N/A
N/A
N/A
0.8795
0.9301
N/A
0.9066
0.9185
0.7916
N/A
0.9382
0.9332
0.9580
N/A
N/A
0.8149
0.9859
N/A
0.9219
0.9121
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
N/A
0.9345
N/A
N/A
0.9541
N/A
N/A
N/A
0.8201
N/A
N/A
N/A
N/A
N/A
N/A
N/A
14,443.0
4,848.1
14,136.5
4,883.0
4,958.1
5,126.8
14,942.5
5,142.3
15,144.0
15,144.0
5,216.6
10,510.8
15,921.3
5,454.9
13,686.6
5,647.5
0.0
0.0
16,508.0
13,893.5
7,582.3
11,535.2
5,751.4
16,913.8
11,704.9
5,917.9
5,946.0
12,216.2
8,274.6
10,833.3
12,818.8
6,574.5
13,256.4
6,594.1
13,263.9
13,265.2
13,269.0
6,651.5
6,659.9
19,504.4
9,165.1
6,944.8
6,958.2
6,994.7
7,089.9
7,097.6
7,199.5
7,250.9
7,294.1
7,320.8
15,632.5
15,811.6
15,829.6
7,439.9
7,449.2
15,315.2
7,634.5
7,697.8
7,725.5
10,351.2
7,847.0
7,927.3
8,020.9
17,193.8
17,294.0
8,206.8
8,310.2
12,568.1
8,323.3
8,387.1
8,425.7
11,265.5
24,915.4
11,433.2
25,244.6
8,690.3
13,155.7
11,719.7
8,857.3
11,852.8
9,236.3
9,556.7
29,254.0
17,890.6
14,422.1
11,031.5
32,356.4
15,284.0
11,657.6
11,829.5
26,128.7
12,353.7
12,481.9
12,732.6
12,802.3
13,309.7
39,390.6
42,912.3
15,273.8
18,065.3
19,173.1
27,680.7
169,253.8
22.24
39.75
91.60
40.04
40.66
42.04
96.83
42.17
98.13
98.13
42.78
0.00
24.52
44.73
0.00
46.31
0.00
0.00
106.97
0.00
62.17
0.00
47.16
109.60
0.00
48.53
48.76
0.00
67.85
128.81
0.00
53.91
0.00
54.07
0.00
0.00
0.00
54.54
54.61
126.39
75.15
56.95
57.06
57.36
58.14
58.20
59.04
59.46
59.81
60.03
0.00
0.00
0.00
61.01
61.08
0.00
62.60
63.12
63.35
84.88
64.35
65.00
65.77
0.00
0.00
67.30
68.14
89.49
68.25
68.77
69.09
92.38
161.45
93.75
163.59
71.26
93.67
96.10
72.63
97.19
75.74
78.36
189.57
212.72
118.26
90.46
209.67
125.33
95.59
97.00
0.00
101.30
102.35
104.41
104.98
109.14
255.25
278.07
125.25
148.14
157.22
226.98
1096.76
29.11
44.07
101.56
44.39
45.07
46.61
107.35
46.75
108.80
108.80
47.42
32.09
49.59
51.34
118.59
68.93
52.29
121.51
53.80
54.05
75.22
142.80
59.77
59.95
60.47
60.54
140.12
83.32
63.13
63.26
63.59
64.45
64.52
65.45
65.92
66.31
66.55
67.64
67.72
69.40
69.98
70.23
94.10
71.34
72.07
72.92
74.61
75.55
99.21
75.67
76.25
76.60
102.41
178.99
103.94
181.36
79.00
103.85
106.54
80.52
107.75
83.97
86.88
210.16
235.83
131.11
100.29
232.45
138.95
105.98
107.54
112.31
113.47
115.75
116.38
121.00
282.98
308.28
138.85
164.23
174.30
251.64
1215.93
42.50
42.97
43.06
43.28
43.95
45.44
45.52
45.58
46.13
46.13
46.24
46.33
46.86
48.35
49.72
50.06
50.10
50.10
50.28
50.48
50.59
50.85
50.98
51.52
51.60
52.45
52.70
53.85
55.21
55.98
56.51
58.27
58.44
58.45
58.47
58.47
58.49
58.96
59.03
59.41
61.16
61.56
61.67
62.00
62.84
62.91
63.81
64.27
64.65
64.89
65.00
65.74
65.82
65.94
66.03
67.51
67.67
68.23
68.48
69.07
69.55
70.26
71.09
71.49
71.90
72.74
73.66
73.71
73.78
74.34
74.68
75.17
75.89
76.29
76.90
77.03
77.16
78.20
78.51
79.09
81.87
84.71
89.11
92.45
96.23
97.78
98.56
101.99
103.33
104.85
108.64
109.50
110.63
112.86
113.48
117.97
119.98
130.71
135.38
160.12
169.94
245.35
515.55
5.54
1.36
12.28
0.73
0.12
1.41
12.98
1.18
13.15
-47,808.42
1.94
2.16
5.39
0.97
2.99
1.45
0.00
0.00
1,020.79
3.04
0.53
2.16
1.50
14.69
2.07
0.89
1.14
2.77
2.92
1.86
2.45
0.44
2.78
1.48
2.79
2.79
2.79
1.16
1.61
16.94
0.36
0.13
0.44
1.26
1.09
1.23
1.19
0.14
1.67
1.77
4.96
5.23
4.48
1.27
0.15
1.33
1.26
1.25
1.47
1.57
1.25
1.28
1.27
6.66
4.87
2.13
0.47
2.56
0.50
1.94
0.23
2.03
21.64
32.84
21.92
0.48
2.58
1.36
0.50
2.24
0.52
1.09
-401.98
3.11
8.56
1.52
88.56
4.90
2.30
2.18
17.13
1.95
2.00
1.54
2.47
2.96
125.28
37.26
2.25
3.30
3.54
4.94
538.28
28.58
0.12
1.69
0.05
0.00
0.28
1.78
0.23
1.81
-38,460.24
1.56
0.01
28.19
0.00
0.04
0.03
0.00
0.00
140.09
0.04
0.01
0.07
0.06
2.02
0.01
0.02
0.01
0.09
1.20
2.65
0.08
0.01
0.09
0.03
0.02
0.09
0.02
0.03
0.46
2.32
0.17
0.03
0.03
0.00
0.00
0.01
0.00
0.04
0.56
0.03
0.98
0.64
0.12
0.07
0.03
0.01
0.04
0.02
0.01
0.68
0.00
0.04
0.00
0.08
0.18
0.04
0.03
13.95
0.19
0.00
0.10
1.40
2.97
0.33
3.01
0.00
10.90
0.04
0.01
0.01
0.01
0.01
-55.17
4.43
0.88
0.77
3.86
0.05
0.04
0.17
5.81
0.01
0.73
0.01
2.01
0.02
4.69
5.11
0.88
0.16
0.28
2.70
20.17
3,036.13
979.05
2,256.95
1,479.08
733.36
946.94
2,385.62
787.41
2,417.80
-24,529,284.77
1,586.85
0.00
3,318.95
1,024.94
0.00
880.54
0.00
0.00
187,683.57
0.01
901.21
0.00
1,067.56
2,700.35
50.67
685.28
900.87
34.96
1,708.95
1,729.58
0.00
930.33
0.00
990.90
0.00
0.00
0.00
903.04
1,105.78
3,113.96
1,116.33
827.71
939.00
974.95
970.80
1,106.39
927.15
896.58
1,143.75
1,081.16
812.59
802.44
824.44
986.11
927.45
0.00
976.44
987.64
1,133.98
1,306.39
968.60
985.04
969.67
900.25
896.95
1,166.20
976.44
1,940.10
1,074.68
1,064.82
1,008.87
1,547.21
3,977.83
1,437.34
4,030.40
1,006.33
2,081.68
1,405.39
1,041.04
1,408.80
1,071.49
1,116.62
-73,908.61
2,856.31
1,989.66
2,028.90
5,165.83
1,778.81
1,444.56
1,393.91
1,347.07
1,500.87
1,597.11
1,509.58
1,754.74
1,904.54
6,288.86
6,851.11
1,910.68
2,223.97
2,255.67
3,635.30
27,022.02
The Northeast Power Coordinating Council, NPCC, sets capacity reserve
requirements for the purposes of maintaining electric power system reliability. The New
York State Reliability Council determined that an installed reserve capacity of 18% over
the New York Control Area summer peak load is required to meet NPCC reliability
58
criteria [9]. The above shows a reserve capacity of only 5,092MW, 15% of the peak load
and below the reserve requirements.
Figure 12 through Figure 15 show comparisons of the total system cost and total
system emissions rates given the three load scenarios: summer base load, winter peak,
and summer peak. The same lambda search method has been used in all of these
scenarios, but instead of minimizing cost as is typically done, the alternate optimizations
sort the plants based on their emissions rates. This was done for NOx, SO2, and CO2.
Though eGRID contains mercury emissions data, it is incomplete so this was not done
for mercury.
Figure 12 - Comparison of total cost for various loads, optimizations
59
What can be seen in Figure 12 is that the costs do not increase linearly between
the different optimizations as the load increases. For example, at the base load the SO2
minimization has the highest cost yet at the peak summer load the CO2 minimization is
the most costly. In the cost minimization strategy, the total cost is $288,861/hr for the
base load and $1,450,648/hr for the peak summer load. At the light load level, it is
equally costly to minimize for each of the three emissions types, with the cost rising to
roughly $400,000/hr. At the higher loads, it appears that NOx is the least costly to
minimize through redispatching while CO2 is the most costly. In all cases, minimizing
any of the emissions rather than cost proves to increase the total system cost by 25-85%.
Figure 13 - Comparison of total CO2 emissions for various loads, optimizations
60
Figure 13 shows that the minimum carbon dioxide emissions can drop from
16,027lbs/h in the cost minimization strategy to 3,102 in the CO2 minimization strategy
in the light load scenario. As the load increases though, there are fewer gains to be made
by minimizing carbon dioxide as more and more plants must be dispatched no matter
what is minimized. In the base load case, minimizing the carbon emissions can cut the
CO2 emissions roughly in third as compared with the cost minimization strategy.
Figure 14 - Comparison of total SO2 emissions for various loads, optimizations
61
Figure 14 shows that minimizing for cost results in far higher sulfur emissions
than minimizing for any emission except carbon dioxide at the highest load level. In the
base load case, the sulfur emissions are almost 2000 times higher in the cost minimized
dispatch than if sulfur were itself minimized.
Figure 15 - Comparison of total NOx emissions for various loads, optimizations
Figure 15 shows something similar for nitrogen oxide emissions, though not to
the same degree. Nitrogen dioxide emissions can be reduced by a factor of seventeen
through their minimization as compared with a simple cost minimization.
The least cost solution in every case also has the highest emissions for all three
pollutants. Revisiting Figure 12, it becomes clear that at low load levels, immense
improvement can be made for relatively little cost by redispatching based on pollution
minimization as compared with the incremental decrease in pollution. While the cost of
the electricity increases by a factor of 1.32 in the NOx emissions reduction case, the
emissions are reduced by a factor of 17.48. The cost goes up by a factor of 1.49 while
the SOx goes down by a factor of 1,943 when it is minimized. Granted, these are large
increases in electricity prices for a state that already has some of the highest cost
electricity in the country. Emissions control technology costs are in fact less costly and
can achieve better results at the higher load levels.
62
9. PowerWorld Software
This project used the PowerWorld Simulator Version 10.0 OPF university
license software package. PowerWorld simulator (PowerWorld) is designed to allow for
a graphical user interface while performing powerful operations on power system data.
It has a power flow solution capability of up to 60,000 buses in the corporate version
though the academic version is limited to 7,000 buses. When one-line diagrams are
created for or with the underlying power flow information, a user may visualize many
aspects of the power system’s operation. PowerWorld can perform economic dispatches,
area transaction economic analysis, power transfer distribution factor computation, short
circuit analysis, and contingency analysis. A very small portion of PowerWorld’s
capability was used for this project.
10. PowerWorld Economic Dispatch Solutions
The original seams case in PowerWorld was exported from the PowerWorld
simulator into Microsoft Excel where generator capacity and cost values were edited as
described above. These records were then re-imported into PowerWorld and the case run
under an economic dispatch. All New York generators were set to a piecewise linear
cost model with the one point defined being the marginal cost identified above and the
generator’s rated capacity. No fixed costs were included and no variation in cost due to
percent of the unit dispatched was accounted for.
Unlike the lambda search method used above with the eGRID data and
associated calculated costs, the PowerWorld simulator is able to account for a variety of
complicating issues. It models the whole region around New York so that power flows
between areas can be represented. New York does not operate as an island, and it is
more realistic to model it in the context of a greater system. While the economic
dispatch does not enforce line constraints, it does account for line losses. There are
various real and reactive power losses associated with moving power over transmission
lines which the lambda search method does not address.
63
In the economic dispatch done using the edited generator and cost data, the
system-wide losses amounted to 4,174MW. The total cost of generation in New York in
the economic dispatch is $450,590/hr. The lossless lambda search in the eGRID data for
this load would have given a system cost of $429,269/hr. This makes very good sense.
The PowerWorld solution had to account for a higher load due to losses but was in the
ballpark of the lambda search method.
11. Conclusions
While it has been interesting to explore emissions minimization through
alternative dispatching methods, it is clear from the cost information here that an
absolute minimization of emissions by alternative dispatches without regards to other
factors is far more expensive than flue gas treatments. However, this has shown that
there is a vast opportunity available for emissions reductions through redispatching, and
it is likely that a hybrid method involving a minimization of both costs and target
emissions could prove to be advantageous.
12. References
[1] “About Us.” New York Independent System Operator.
[2] “Assumptions to the Annual Energy Outlook 2006 with projections to 2030.” Energy
Information Administration, U.S. Department of Energy. March 2006. DOE/EIA0554(2006). http://www.eia.doe.gov/oiaf/aeo/assumption/pdf/0554(2006).pdf#page=77
[3] “Average Operating Expenses for Major U.S. Investor-Owned Electric Utilities,
Table 8.2.” Electric Power Annual with data for 2004. Energy Information
Administration, U.S. Department of Energy. November 2005.
http://www.eia.doe.gov/cneaf/electricity/epa/epat8p2.html
64
[4] Cabral, Ivan F. T. Using Negative Generators to Model Elastic Loads and Maximize
Social Welfare Using a Standard Optimal Power Flow. A Design Project Report
Presented to the Engineering Division of the Graduate School of Cornell University.
January 2000.
[5] “Challenges of Electric Power Industry Restructuring for Fuel Suppliers.” Energy
Information Administration, U.S. Department of Energy. November, 2005.
http://www.eia.doe.gov/cneaf/electricity/chg_str_fuel/execsumm.html
[6] Electric Power Annual 2004. Energy Information Administration, U.S. Department
of Energy. DOE/EIA-0348(2004). November 2005.
http://tonto.eia.doe.gov/FTPROOT/electricity/034804.pdf
[7] “Form 715 – Annual Transmission Planning and Evaluation Report Instructions”
Federal Energy Regulatory Commission. OMB No. 1902-0171. February 2005.
http://www.ferc.gov/docs-filing/eforms/form-715/instructions.asp
[8] New York State Independent System Operator Annual Transmission Planning and
Evaluation Report. FERC Form No. 715. April 2005.
[9] “NYISO Load and Capacity Data 2005.” New York Independent System Operator.
[10] Raikar, Santosh and Marija Ilic, “Assessment of Transmission Congestion for
Major Electricity Markets in the US” February 2001. Massachusetts Institute of
Technology Energy Laboratory. Energy Laboratory Publication # MIT EL 01-009 WP.
[11] “Revenue and Expense Statistics for Major U.S. Investor-Owned Electric Utilities,
Table 8.1.” Electric Power Annual with data for 2004. Energy Information
Administration, U.S. Department of Energy. November 2005.
http://www.eia.doe.gov/cneaf/electricity/epa/epat8p1.html
65

a study of emissions and cost minimization for the new york state

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