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CERF – A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility Cover

CERF – A Geospatial Model for Assessing Future Energy Production Technology Expansion Feasibility

Open Access
|Aug 2018

Figures & Tables

Figure 1

Barriers to siting that are common to all thermo-electric technologies. Unsuitable area where no siting can occur is represented by dark blue; suitable area where siting can potentially occur is represented by yellow.

Figure 2

Barriers to siting that are common to all thermo-electric technologies combined with technology-specific barriers for nuclear plants. Unsuitable area where no siting can occur is represented by dark blue; suitable area where siting can potentially occur is represented by yellow.

Figure 3

Custom SAGA function to compute grid cell suitability.

Figure 4

Nuclear siting feasibility in the Eastern Interconnection (white polygon) in reference to suitability. Unsuitable area where no siting can occur is represented by dark blue; suitable area where siting can potentially occur is represented by yellow, and nuclear sites feasible based on econometrics and technology-specific requirements for the Eastern Interconnection are in magenta.

Figure 5

CERF’s workflow.

Table 1

Parameters and descriptions for CERF’s constants.xml input file.

NameDescription
discount_rateFloat from 0.0 to 1.0. The time value of money in real terms.
carbon_taxFloat. The fee imposed on the burning of carbon-based fuels in $/ton.
carbon_tax_escalationThe annual escalation rate for carbon tax. From 0.0 to 1.0.
tx_lifetimeInteger in years of the expected technology plant lifetime.
interconnection_cost_gasFloat for the capital cost of gas interconnection in $K/km.
Table 2

Parameters and descriptions for CERF’s expansionplan.xml input file.

NameDescription
zoneidCorresponding state id as referenced in the states.xml file.
techidCorresponding technology id as referenced in the technologies.xml file.
<value>The expected capacity in MW.
Table 3

Parameters and descriptions for CERF’s powerzones.xml input file.

NameDescription
zoneInteger ID of the utility zone.
shapeidInteger ID of the spatial reference referred to in states.xml.
nameThe abbreviated name of the power zone as a string.
lmpFloat of the annualized locational marginal price for the target zone $/MWh.
descriptionString description of the utility zone.
<lmps><cf>Float capacity factor for each LMP percentile.
Table 4

Parameters and descriptions for CERF’s states.xml input file.

NameDescription
idUnique integer ID of the state.
shapeidUnique integer ID of the feature in the input shapefile.
<value>String name of the state.
Table 5

Parameters and descriptions for CERF’s technologies.xml input file.

NameDescription
idUnique integer ID for each technology.
unit_sizeInteger value for power plant unit size in MW.
capacity_factorFloat value from 0.0 to 1.0 for the average annual power generated divided by the potential output if the plant operated at its rated capacity for a year.
variable_omFloat value representing the variable operation and maintenance costs of yearly capacity use in $/MWh.
variable_cost_escalation_rateFloat from –1.0 to 1.0 for the escalation rate of variable costs.
heat_rateFloat for the amount of energy used by a power plant to generate one kilowatt-hour of electricity in Btu/kWh.
fuel_priceFloat for cost of fuel per unit in ($/MBtu)(106 Btu/MBtu)(103 kWh/MWh).
fuel_price_escalationFloat from –1.0 to 1.0 for fuel price escalation.
fuel_co2_contentFloat for CO2 content of the fuel and the heat rate of the technology in Tons/MWh.
interconnection_cost_per_kmFloat for the capital cost of interconnection in $K/km.
full_nameFull technology name.
lifetimeInteger for asset life time in years.
categoryType of fuel (e.g., gas, coal, etc.).
fuel_indexString reference for fuel index type.
variable_om_2005Float value for variable operation and maintenance costs of capacity use in $/MWh.
siting_bufferBuffer to place around a plant once sited.
carbon_capture_rateFloat for the rate from 0 to 1 of carbon capture.
Table 6

Parameters and descriptions for CERF’s technology_suitabilitymask_paths.xml input file.

NameDescription
techidInteger ID of the corresponding technology.
<value>Full path with file name and extension to the input SAGA grid raster.
Table 7

Parameters and descriptions for CERF’s configuration file.

NameDescription
exe_pathFull path with file name and extension of saga_cerf.exe.
xml_pathFull path to the directory containing the input XML files.
out_pathFull path to the directory where the output files will be written.
yrInteger target four digit year (e.g., 2005).
primary_zoneFull path with file name and extension to the input states raster.
utility_zonesFull path with file name and extension to the input utility zones.
common_exclusionFull path with file name and extension to the input suitability raster common to all technologies.
transmission_230kvFull path with file name and extension to the input raster for transmission lines > = 230 Kv.
transmission_345kvFull path with file name and extension to the input raster for transmission lines > = 345 Kv.
transmission_500kvFull path with file name and extension to the input raster for transmission lines > = 500 Kv.
gasline_16inFull path with file name and extension to the input raster for gas pipelines that are > = 16 inches.
bufferInteger buffer in grid cells to place around each site.
distance_methodInteger from 0 to 2 to select type of distance method used when calculating interconnection costs
[0: Chessboard, 1: Manhattan, 2: Euclidean distance].
direction_methodInteger from 0 to 3 to select the directional pattern used when siting a technology in a region
[0: left, right, top, bottom; 1: RLBT; 2: LRBT; 3: RLTB].
Table 8

Requirements for spatial suitability rasters.

AttributeDescription
Number of columns, Number of rows4693, 2999
Coordinate systemPROJCS[“USA_Contiguous_Albers_Equal_Area_Conic”,
GEOGCS[“GCS_North_American_1983”,
DATUM[“North_American_Datum_1983”,
SPHEROID[“GRS_1980”, 6378137.0, 298.257222101]],
PRIMEM[“Greenwich”, 0.0],
UNIT[“Degree”, 0.0174532925199433]],
PROJECTION[“Albers_Conic_Equal_Area”],
PARAMETER[“false_easting”, 0.0],
PARAMETER[“false_northing”, 0.0],
PARAMETER[“longitude_of_center”, –96.0],
PARAMETER[“standard_parallel_1”, 29.5],
PARAMETER[“standard_parallel_2”, 45.5],
PARAMETER[“latitude_of_center”, 37.5],
UNIT[“Meters”, 1.0]]
Origin(–2405552.835500000044703, 1609934.799499999964610)
Pixel Size(1000, –1000)
Upper Left(–2405552.836, 1609934.799)
Lower Left(–2405552.836, –1389065.201)
Upper Right(2287447.164, 1609934.799)
Lower Right(2287447.164, –1389065.201)
Center(–59052.836, 110434.799)
TypeByte
Table 9

Method name and description of for output options in the Outputs class.

MethodDescription
heatmapCreates a heatmap figure (Figure 6) showing all states and technologies relative to one another for a target metric. Can produce a heatmap for interconnection cost (ic), net locational cost (nlc), or net operating value (nov).
export_planned_vs_sitedExports a CSV file of sites for each state and technology that were planned but not feasible to site. Returns a Pandas Data Frame.
plot_planned_vs_sitedCreates a bar plot (Figure 7) of either planned versus sited number of site or capacity for a target state.
eval_metric_per_techCreates a jittered strip plot (Figure 8) of sites per technology for a target state. Can produce a plot for interconnection cost (ic), net locational cost (nlc), or net operating value (nov).
Figure 6

A heatmap showing comparative interconnection cost per technology per state from CERF’s example data. The color bar ranges from 0 $/year to 100 million $/year. Grey in the plot represents no sites for the state-technology combination.

Figure 7

Bar plot showing planned versus achieved siting for each technology for Virginia from CERF’s example data. This plot is used to detail when siting is not feasible for a target state.

Figure 8

Jittered strip plot showing interconnection cost per site for each technology for Virginia from CERF’s example data.

Table 10

Validation results for CERF’s spatial suitability for siting as compared to EIA current power plant locations.

TechnologyEIA sitesAble to be sited by plant coordinatePercent sited by plant coordinateAble to be sited within 5 kmPercent sited within 5 km
Nuclear544481.5%5398.1%
Coal33227683.1%32898.8%
Natural Gas1648138283.9%160297.2%
Biomass72559081.4%71298.2%
Wind99395295.9%98098.7%
DOI: https://doi.org/10.5334/jors.227 | Journal eISSN: 2049-9647
Language: English
Submitted on: Apr 3, 2018
Accepted on: Jul 29, 2018
Published on: Aug 6, 2018
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2018 Chris R. Vernon, Nino Zuljevic, Jennie S. Rice, Timothy E. Seiple, Michael C. W. Kintner-Meyer, Nathalie Voisin, Ian P. Kraucunas, Jin Chunlian, Jarrod Olson, Laurel Schmidt, Scott L. Morris, Pralit Patel, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.