U.S. Environmental Protection Agency20210223US EPA Emissions and Generation Resource Integrated Database (EGRID 2019) for Electricity Generating Plants in Florida - Published 2021eGRID2019 YEAR 2019 DATAvector digital dataWashington, D.C.U.S. Environmental Protection AgencyState of Floridahttps://www.epa.gov/egridThe Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on the environmental characteristics of almost all electric power generated in the United States. This dataset includes available plant-specific data for electricity generating plants in the State of Florida. The preeminent source of emissions data for the electric power sector, eGRID is based on available plant-specific data for all U.S. electricity generating plants that provide power to the electric grid and report data to the U.S. government. Data reported include, but are not limited to, net electric generation; resource mix (for renewable and nonrenewable generation); mass emissions of carbon dioxide (CO2), nitrogen oxides (NOx), sulfur dioxide (SO2), methane (CH4), nitrous oxide (N2O), and mercury (Hg); emission rates for CO2, NOx, SO2, CH4, and N2O; heat input; and nameplate capacity. eGRID reports this information on an annual basis (as well as by ozone season for NOx) at different levels of aggregation. eGRID2019, released in February 2021, is the fourteenth edition of eGRID. Please note: The EPA has recently changed the naming convention of eGRID. The current edition is named with a year corresponding to the year of the data (eGRID2019), while the publication year of the data is 2021. Those changes are reflected in the title above. For more information on eGRID please see the following EPA documentation: https://www.epa.gov/sites/production/files/2021-02/documents/egrid2019_technical_guide.pdf. This layer is an update to the FGDL layer EPAEGRID_2018.shp.The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.What is eGRID? The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive inventory of environmental attributes of electric power systems. The preeminent source of air emission data for the electric power sector, eGRID is based on available plant-specific data for all U.S. electricity generating plants that provide power to the electric grid and report data to the U.S. government. eGRID uses data from the Energy Information Administration (EIA) Forms EIA-860 and EIA-923 and EPA’s Clean Air Markets Program Data. Emission data from EPA are carefully integrated with generation data from EIA to produce useful values like pounds of emissions per megawatt-hour of electricity generation (lb/MWh), which allows direct comparison of the environmental attributes of electricity generation. eGRID also provides aggregated data by state, U.S. total, and by three different sets of electric grid boundaries (i.e., balancing authority area, NERC region, and eGRID subregion). Why eGRID? Many consumers have a choice regarding the source of their electricity, and some seek cleaner sources, such as wind and solar power. EPA’s Power Profiler application, which uses eGRID data, helps individual consumers understand the environmental impacts of their own electricity usage. Electricity generation is the dominant industrial source of air emissions in the United States today. Whenever you switch on an electrical appliance, chances are you are contributing to air pollution and greenhouse gas emissions. By documenting the environmental attributes of electric power generation, eGRID can help consumers and researchers to better understand the relationship between electricity and the environment. In the United States, electricity is generated in many different ways, with a wide variation in environmental impacts. In many states, power companies are required to disclose the environmental attributes of their retail electricity products. eGRID data can be used to support the following activities: Greenhouse gas registries and inventories, Carbon footprinting, Consumer information disclosure, Renewable portfolio standards, Development of emission inventories and emission standards, Analysis of changing power markets, and Estimation of avoided emissions. What information is contained in eGRID? For virtually every grid-connected power plant in the United States, eGRID provides: A detailed emissions profile, covering nitrogen oxides (NOX), sulfur dioxide (SO2), carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and mercury (Hg). Mass emissions are reported in either pounds or tons. Output emission rates are reported pounds per megawatt-hour (lb/MWh). Input emission rates are reported in pounds per million British thermal units (lb/MMBtu). Generation resource mix, in megawatt-hours and percent. Identification and location information. eGRID provides separate data at the combustion unit and generator levels. These data are combined at the plant level. The plant level data are then aggregated to state, U.S. total, and three types of power grid regions:? Balancing authority area (generally smaller regions of the power grid in which all power plants are managed to balance power system demand and supply); eGRID subregion; and NERC region, as designated by the North American Electric Reliability Corporation (plus Alaska, Hawaii, and Puerto Rico). Source: https://www.epa.gov/egrid/egrid-questions-and-answers20190101publication dateAs needed-87.416105-79.88056231.42467024.526882Nonepower plantpower gridelectricityNuclearelectricPowerEmissions & Generation Resource Integrated DatabaseISO 19115 Topic CategoryutilitiesCommunicationenvironmentNoneFloridaNone2018NoneThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlU.S. Environmental Protection AgencyEnergy and the Environment Websitemailing1200 Pennsylvania Ave NW (MC 6202A)WashingtonD.C.20460UShttps://www.epa.gov/energy/forms/contact-us-about-energy-and-environmentContact Us About Energy and the EnvironmentEPA Clean Energy Department Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362Washington, DCU.S. Environmental Protection AgencyEPA - eGRID: https://www.epa.gov/egrid For more information on eGRID please see the following EPA documentation: https://www.epa.gov/sites/production/files/2021-02/documents/egrid2019_technical_guide.pdfhttps://www.epa.gov/egridGeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanU.S. Environmental Protection Agency20210223Emissions & Generation Resource Integrated Database (eGRID)eGRID2019 year 2019 dataspreadsheetWashington, DCU.S. Environmental Protection Agencyhttps://www.epa.gov/egrid0onLineEPASpatial and Attribute InformationGeoPlan Center downloaded the EPA eGRID2019 year 2019 data in excel format from the following EPA website on 7/6/2021: https://www.epa.gov/egrid/download-data Released: 2/23/2021. Next, GeoPlan imported the eGRID2019 PLNT19 excel sheet from the eGRID2019 excel workbook into ArcMap. The PLNT19 excel workbook sheet contained 11,865 year 2019 records representing electricity generation plants. The PLNT19 excel workbook sheet was then exported from ArcMap as a Database table. Next the newly created PLNT19.DBF was spatially mapped using the LAT and LON fields containing decimal degrees to 4 decimal places spatial information. Records with no latitude/longitude information were removed from the data set. Next the newly created PLNT16.SHP projection was defined as GCS_WGS_1984, and then it was reprojected to the FGDL Albers NAD 83 HARN projection. Next a selection was performed on the State FIPS ID field where it was equal to 12 (i.e. the State of Florida). Several other power plants that skirted the Florida border were also included. Next the selection was exported to a new shapefile called EPAEGRID_2019.SHP Next all of the field information was Upper Cased, and five fields were added; NOTES, NUCLEAR, DESCRIPT (based on PNAME), FGDLAQDATE (based on the date the data was downloaded from the Source). Facilities no longer in operation were designated as (CLOSED) in the DESCRIPT field. Planned facilities were designated as (PROPOSED) in the DESCRIPT field. Information on closed and proposed facilities was obtained via google and from the following website: http://www.energyjustice.net/map/searchfacility-basic.php. Certain points were moved, see NOTES field for features altered. Facility address information from the following website was used to help better locate the physical locations of the facilities: http://www.energyjustice.net/map/searchfacility-basic.php Two new fields were added to the table since the previous update: PLC2ECRT and CHPN2O. The following fields were added by GeoPlan: LAT_DD, LONG_DD, MGRS, GOOGLEMAP, DESCRIPT, and FGDLAQDATE. See field definitions for more info.GeoPlan20210706VectorSimpleFALSE0FALSEFALSEcoordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101EPAEGRID_2019EPAEGRID_2019.DBFU.S. Environmental Protection AgencyFeature Class0FIDFIDOID400Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeFeature geometry.ESRICoordinates defining the features.ShapeGeometry000SEQPLT19eGRID2019 File Plant Sequence Number (SEQPLT19) - The plant records in the 2019 plant data file are sorted by state abbreviation and plant name, and are assigned a unique sequential number beginning with 1. This sequence number is unlikely to be the same as the sequence number in the eGRID2018 file for the same entity.EPASEQPLT19Integer10100YEARData Year (YEAR) - The current eGRID data year.EPAYEARInteger10100PSTATABBPlant State Abbreviation (PSTATABB) - The state abbreviation in which the plant is located..EIA-860PSTATABBString25400PNAMEPlant Name (PNAME) - The name associated with each plant.EPA/CAMD; EIA-860PNAMEString25400ORISPLDOE/EIA ORIS Plant or Facility Code (ORISPL) - This plant code corresponds to PNAME and was originally developed for power plants by the Office of Regulatory Information Systems (ORIS), which was a part of the Federal Power Commission. It is now assigned by EIA and is used as a unique plant identification code for many EPA electric power databases, too. Note that some EIA ORISPL ID codes were changed to reflect EPA/CAMD ORISPL ID codes. See Section 4.1 for a discussion of ORISPL ID changes made to eGRID2016. See Table C-5 in Appendix C for a table of all ORISPL changes made between EIA and EPA/CAMD.EPA/CAMD; EIA-860ORISPLInteger10100OPRNAMEPlant Operator Name (OPRNAME) - The name associated with each operating company (EGC).EIA-860OPRNAMEString25400OPRCODEPlant Operator ID (OPRCODE) - The operating company ID. Each operating company has a unique company code assigned by EIA, with some exceptions. Plants with no operating company ID.EIA-860OPRCODEInteger10100UTLSRVNMUtility Service Territory Name (UTLSRVNM) - The name of the owner of the transmission/distribution company/EGC, also known as the utility service territory (a utility company or EGC) [and previously known as the utility service area] in which the plant is located.EIA-860UTLSRVNMString25400UTLSRVIDUtility Service Territory ID (UTLSRVID) - The unique ID code associated with the utility service territory name.EIA-860UTLSRVIDInteger10100SECTORPlant-level Sector (SECTOR) - The plant level sector name, assigned by the purpose, regulatory status, and CHP status at the plant.EPASECTORString25400BANAMEBalancing Authority Name (BANAME) - The name of the balancing authority for the plant. The balancing authority is associated with the plant's eGRID subregion and NERC region.EIA-860, EIA-861BANAMEString25400BACODEBalancing Authority ID Code (BACODE) - The ID of the balancing authority for the plant.EIA-860, EIA-861BACODEString25400NERCNERC Region Acronym (NERC) - The acronym for the NERC region in which the plant is located. The NERC region is associated with the plant's BA and eGRID subregion. A representation of the eGRID NERC region map is included in Appendix B.EIA-860NERCString25400SUBRGNeGRID Subregion Acronym (SUBRGN) - The acronym for the eGRID subregion in which the plant is located. The eGRID subregion is associated with the plant's balancing authority and NERC region. A representation of the eGRID subregion map is included in Appendix B.EPASUBRGNString25400SRNAMEeGRID Subregion Name (SRNAME) - The name of the eGRID subregion in which the plant is located.EPASRNAMEString25400ISORTOPlant associated ISO/RTO Territory (ISORTO) - The name, if applicable, of the Independent System Operator (ISO) or Regional Transmission Organization (RTO) associated with the plant. Possible values are CAISO, ERCOT, ISONE, MISO, NYISO, PJM, SPP, OTHER, or blank.EIA-860ISORTOString25400FIPSSTPlant FIPS State Code (FIPSST) - The two-digit Federal Information Processing Standards (FIPS) state character code of the state in which the plant is located. The codes are from the National Institute of Standards and Technology (US Census, 2016).US CensusFIPSSTInteger10100FIPSCNTYPlant FIPS County Code (FIPSCNTY) - The three digit FIPS county character code of the county in which the plant is located. The codes are from the National Institute of Standards and Technology (US Census, 2016).US CensusFIPSCNTYInteger10100CNTYNAMEPlant County Name (CNTYNAME) - The name of the county in which the plant is located.EIA-860CNTYNAMEString25400LATPlant Latitude (LAT) - The latitude, in degrees to four decimal places, associated with the plant.EIA-860LATDouble19188LONPlant Longitude (LON) - The longitude, in degrees to four decimal places, associated with the plant.EIA-860LONDouble19188NUMUNTNumber of Units (NUMUNT) - The number of operating units within a plant.EIA-860NUMUNTInteger10100NUMGENNumber of Generators (NUMGEN) - The number of potentially operating generators within a plant.EIA-860NUMGENInteger10100PLPRMFLPlant Primary Fuel (PLPRMFL) - The plant's primary fuel based on maximum heat input of fuel consumed by the plant. If the plant does not consume fuel, it is based on the maximum nameplate capacity.EPA/CAMD; EIA-860ABAgricultural byproductEPABFGBlast furnace gasEPABITBituminous coalEPABLQBlack liquorEPACOGCoke oven gasEPADFODistillate fuel oil, light fuel oil, diesel oilEPAGEOGeothermal steamEPAJFJet fuelEPAKERKeroseneEPALFGLandfill gasEPALIGLignite coalEPAMSWMunicipal solid wasteEPAMWHElectricity used for energy storage (megawatt hour)EPAOBGOther biomass gasEPAOBLOther biomass liquidEPAOBSOther biomass solidEPAOGOther gasEPAOTHOther (unknown)EPAPCPetroleum cokeEPAPRGProcess gasEPAPURPurchased fuel (unknown)EPARCRefined coalEPARFOResidual fuel oil, heavy fuel oil, petroleumEPASGCCoal-derived synthetic gasEPASUBSubbituminous coalEPASUNSunEPATDFTire-derived fuelEPAWCWaste coalEPAWDLWood, wood waste liquidEPAWDSWood, wood waste solidEPAWHWaste heatEPAWNDWindEPAWOWaste oilEPANGNatural gasEPANUCNuclear materialEPAWATWaterEPAPLPRMFLString25400PLFUELCTPlant Primary Fuel Category (PLFUELCT) - The fuel category for the primary fuel of the plant.EPAPLFUELCTString25400COALFLAGFlag indicating if the plant burned or generated any amount of coal (COALFLAG) - A flag to indicate if the plant burned or, if it has positive heat input and generated electricity from coal (1= Yes). The plant will not be flagged if the plant has negative coal generation and no coal heat input for a given year.EPACOALFLAGString25400CAPFACPlant Capacity Factor (CAPFAC) - The plant capacity factor, expressed with four decimal places. It is calculated as follows: CAPFAC = (PLNGENAN / (NAMEPCAP * 8760)) Although the value should be between 0 and 1, there are outliers.EPACAPFACDouble19188NAMEPCAPPlant Nameplate Capacity (NAMEPCAP) - The nameplate capacity of the plant, in MW.EIA-860NAMEPCAPDouble19188NBFACTORNonbaseload Factor (NBFACTOR) - The proportion of generation that is considered nonbaseload generation. A value of 0 means none of the generation is nonbaseload generation. See Section 3 for more information.CalculatedNBFACTORDouble19188RMBMFLAGBiogas/Biomass Plant Adjustment Flag (RMBMFLAG) - A biogas (landfill gas, digester gas)/biomass adjustment flag, used to indicate where emissions were adjusted for plants using biogas or biomass fuels (1=Yes). A facility's emissions reported in eGRID may be differentEPARMBMFLAGString25400CHPFLAGCombined Heat and Power (CHP) Plant Adjustment Flag (CHPFLAG) - A flag to indicate if the plant is a CHP facility (1=Yes). A CHP facility's emissions and heat input reported in eGRID may be different from that reported in other EPA sources such as EPA/CAMD's emissions data, due to this adjustment.EPA/CAMD; EIA-860CHPFLAGString25400USETHRMOCHP Plant Useful Thermal Output (USETHRMO) - The useful thermal output, in MMBtu, estimated for a CHP facility.EIA-923 calculatedUSETHRMOInteger10100PWRTOHTCHP Plant Power to Heat Ratio (PWRTOHT) - The power to heat ratio for a CHP facility, which is the ratio of the heat value of electricity generated (3413 * kWh output) to the facility's useful thermal output.EPAPWRTOHTInteger10100ELCALLOCCHP Plant Electric Allocation Factor (ELCALLOC) - The CHP plant's decimal fraction of the emissions that are attributed to electricity. It is derived as the ratio of the electric heat output to the sum of the electric and steam heat outputs, where the steam output is 75% of the useful thermal output. The electric allocation factor is used to allocate emissions from a CHP facility to both electricity generation and useful thermal output. For non-CHP plants, eGRID uses an electric allocation factor of 1.0.EPAELCALLOCDouble19188PSFLAGPlant Pumped Storage Flag (PSFLAG) - Indicates if the plant has at least one pumped storage generator (1= Yes).EIA-860PSFLAGString25400PLHTIANPlant Annual Heat Input from Combustion (PLHTIAN) - The total annual heat input from combustion, in MMBtu, for the plant. For CHP plants, the value is adjusted by the electric allocation factor.EPAPLHTIANInteger10100PLHTIOZPlant Ozone Season Heat Input from Combustion (PLHTIOZ) - The five-month ozone season (May through September) heat input from combustion, in MWh, for the plant. For CHP plants, the value is adjusted by the electric allocation factor.EPAPLHTIOZInteger10100PLHTIANTPlant Total Annual Heat Input (PLHTIANT) - The total annual heat input from combustion and noncombustion units, in MMBtu, for the plant. For CHP plants, the value is adjusted by the electric allocation factor.EPAPLHTIANTInteger10100PLHTIOZTPlant Total Ozone Season Heat Input (PLHTIOZT) - The five-month ozone season (May through September) heat input from combustion and noncombustion units, in MWh, for the plant. For CHP plants, the value is adjusted by the electric allocation factor.EPAPLHTIOZTInteger10100PLNGENANPlant Annual Net Generation (PLNGENAN) - The total reported annual net generation, in MWh, for the plant, summed from the Unit fileEIA-923PLNGENANString25400PLNGENOZPlant Ozone Season Net Generation (PLNGENOZ) - The five-month ozone season (May through September) net generation for the plant.EIA-923PLNGENOZString25400PLNOXANPlant Annual NOx Emissions (PLNOXAN) - The total annual NOx emissions, in short tons, for the plant. Biogas components are adjusted. For CHP plants, the value is adjusted by the electric allocation factor. This adjusted emissions field is estimated by first making the biogas adjustment (if it exists) and then applying the electric allocation factor (if the plant is a CHP).EPAPLNOXANInteger10100PLNOXOZPlant Ozone Season NOx Emissions (PLNOXOZ) - The five-month ozone season (May through September) NOx emissions, in short tons, for the plant. Biogas components are adjusted. For CHP plants, the value is adjusted by the electric allocation factor. This adjusted emissions field is estimated by first making the biogas adjustment (if it exists) and then applying the electric allocation factor (if the plant is a CHP).EPAPLNOXOZInteger10100PLSO2ANPlant Annual SO2 Emissions (PLSO2AN) - The total annual SO2 emissions, in short tons, for the plant. Landfill gas components are adjusted. For CHP plants, the value is adjusted by the electric allocation factor. This adjusted emissions field is estimated by first making the landfill gas adjustment (if it exists) and then applying the electric allocation factor (if the plant is a CHP).EPAPLSO2ANInteger10100PLCO2ANPlant Annual CO2 Emissions (PLCO2AN) - The total annual CO2 emissions, in short tons, for the plant. All CO2 emissions from biomass fuels are adjusted to zero. For CHP plants, the value is adjusted by the electric allocation factor. This adjusted emissions field is estimated by first making the biomass adjustment (if it exists) and then applying the electric allocation factor (if the plant is a CHP).EPAPLCO2ANInteger10100PLCH4ANPlant Annual CH4 Emissions (PLCH4AN) - The total annual CH4 emissions, in pounds, for the plant. Biogas biomass components are adjusted. For CHP plants, the value is adjusted by the electric allocation factor. This adjusted emissions field is estimated by first making the biomass adjustment (if it exists) and then applying the electric allocation factor (if the plant is a CHP).EPAPLCH4ANInteger10100PLN2OANPlant Annual N2O Emissions (PLN2OAN) - The total annual N2O emissions, in pounds for the plant. Biogas biomass components are adjusted. For CHP plants, the value is adjusted by the electric allocation factor. This adjusted emissions field is estimated by first making the biomass adjustment (if it exists) and then applying the electric allocation factor (if the plant is a CHP).EPAPLN2OANInteger10100PLCO2EQAPlant Annual CO2 Equivalent Emissions (PLCO2EQA) - The annual CO2 equivalent emissions, in short tons, for the plant. This value is a universal standard of measurement. The GWPs from the second IPCC assessment are used per EPA for the calculation; the formula used is as follows: PLCO2EQA = ((1* PLCO2AN) + (21* PLCH4AN / 2000) + (310 * PLN2OAN / 2000)).EPAPLCO2EQAInteger10100PLHGANPlant Annual Hg Emissions (PLHGAN) - The total annual Hg emissions, in pounds for the plant. For CHP plants, the value is adjusted by the electric allocation factor. Not calculated for eGRID2016.EPAPLHGANString25400PLNOXRTAPlant Annual NOx Total Output Emission Rate (PLNOXRTA) - This field, in lb/MWh, is calculated as follows: PLNOXRTA = 2000 * (PLNOXAN / PLNGENAN).EPAPLNOXRTADouble19188PLNOXRTOPlant Ozone Season NOx Total Output Emission Rate (PLNOXRTO) - This field, in lb/MWh, is calculated as follows: PLNOXRTO = 2000 * (PLNOXOZ / PLNGENOZ).EPAPLNOXRTODouble19188PLSO2RTAPlant Annual SO2 Total Output Emission Rate (PLSO2RTA) - This field, in lb/MWh, is calculated as follows: PLSO2RTA = 2000 * (PLSO2AN / PLNGENAN).EPAPLSO2RTADouble19188PLCO2RTAPlant Annual CO2 Total Output Emission Rate (PLCO2RTA) - This field, in lb/MWh, is calculated as follows: PLCO2RTA = 2000 * (PLCO2AN / PLNGENAN).EPAPLCO2RTADouble19188PLCH4RTAPlant Annual CH4 Total Output Emission Rate (PLCH4RTA) - This field, in lb/GWh, is calculated as follows: PLCH4RTA = PLCH4AN / (PLNGENAN / 1000).EPAPLCH4RTADouble19188PLN2ORTAPlant Annual N2O Total Output Emission Rate (PLN2ORTA) - This field, in lb/GWh, is calculated as follows: PLN2ORTA = PLN2OAN / (PLNGENAN / 1000).EPAPLN2ORTADouble19188PLC2ERTAPlant Annual CO2 Equivalent Total Output Emission Rate (PLC2ERTA) - This field, in lb/MWh, is calculated as follows: PLC2ERTA = 2000 * (PLCO2EQA / PLNGENAN).EPAPLC2ERTADouble19188PLHGRTAPlant Annual Hg Total Output Emission Rate (PLHGRTA) - This field, in lb/GWh, is calculated as follows: PLHGRTA = PLHGAN / (PLNGENAN / 1000). Not calculated for eGRID2016.EPAPLHGRTAString25400PLNOXRAPlant Annual NOx Input Emission Rate (PLNOXRA) - This field, in lb/MMBtu, is calculated as follows: PLNOXRA = 2000 * (PLNOXAN / PLHTIAN).EPAPLNOXRADouble19188PLNOXROPlant Ozone Season NOx Input Emission Rate (PLNOXRO) - This field, in lb/MMBtu, is calculated as follows: PLNOXRO = 2000 * (PLNOXOZ / PLHTIOZ).EPAPLNOXRODouble19188PLSO2RAPlant Annual SO2 Input Emission Rate (PLSO2RA) - This field, in lb/MMBtu, is calculated as follows: PLSO2RA = 2000 * (PLSO2AN / PLHTIAN).EPAPLSO2RADouble19188PLCO2RAPlant Annual CO2 Input Emission Rate (PLCO2RA) - This field, in lb/MMBtu, is calculated as follows: PLCO2RA = 2000 * (PLCO2AN / PLHTIAN).EPAPLCO2RADouble19188PLCH4RAPlant Annual CH4 Input Emission Rate (PLCH4RA) - This field, in lb/MMBtu, is calculated as follows: PLCO2RA = 2000 * (PLCH4AN / PLHTIAN).EPAPLCH4RADouble19188PLN2ORAPlant Annual N2O Input Emission Rate (PLN2ORA) - This field, in lb/MMBtu, is calculated as follows: PLCO2RA = 2000 * (PLN2OAN / PLHTIAN).EPAPLN2ORADouble19188PLC2ERAPlant Annual CO2 Equivalent Input Emission Rate (PLC2ERA) - This field, in lb/MMBtu, is calculated as follows: PLCO2RA = 2000 * (PLCO2EQA / PLHTIAN).EPAPLC2ERADouble19188PLHGRAPlant Annual Hg Input Emission Rate (PLHGRA) - This field, in lb/BBtu, is calculated as follows: PLHGRA = PLHGAN / (PLHTIAN / 1000). Not calculated for eGRID2016.EPAPLHGRAString25400PLNOXCRTPlant Annual NOx Combustion Output Emission Rate (PLNOXCRT) - This field, in lb/MWh, is calculated as follows: PLNOXCRT = 2000 * (PLNOXAN / PLGENACY).EPAPLNOXCRTDouble19188PLNOXCROPlant Ozone Season NOx Combustion Output Emission Rate (PLNOXCRO) - This field, in lb/MWh, is calculated as follows: PLNOXCRO = 2000 * (PLNOXOZ / ((PLGENACY * PLNGENOZ) / PLNGENAN)).EPAPLNOXCRODouble19188PLSO2CRTPlant Annual SO2 Combustion Output Emission Rate (PLSO2CRT) - This field, in lb/MWh, is calculated as follows: PLSO2CRT = 2000 * (PLSO2AN / PLGENACY).EPAPLSO2CRTDouble19188PLCO2CRTPlant Annual CO2 Combustion Output Emission Rate (PLCO2CRT) - This field, in lb/MWh, is calculated as follows: PLCO2CRT = 2000 * (PLCO2AN / PLGENACY).EPAPLCO2CRTDouble19188PLCH4CRTPlant Annual CH4 Combustion Output Emission Rate (PLCH4CRT) - This field, in lb/GWh, is calculated as follows: PLCH4CRT = PLCH4AN / (PLGENACY / 1000).EPAPLCH4CRTDouble19188PLN2OCRTPlant Annual N2O Combustion Output Emission Rate (PLN2OCRT) - This field, in lb/GWh, is calculated as follows: PLN2OCRT = PLN2OAN / (PLGENACY / 1000).EPAPLN2OCRTDouble19188PLC2ECRTPlant Annual CO2 Equivalent Combustion Output Emission Rate (PLC2ECRT) - This field, in lb/MWh, is calculated as follows: PLC2ECRT = 2000 * (PLCO2EQA / PLGENACY). EPAPLC2ECRTDouble19188PLHGCRTPlant Annual Hg Combustion Output Emission Rate (PLHGCRT) - This field, in lb/GWh, is calculated as follows: PLHGCRT = PLHGAN / (PLGENACY / 1000). Not calculated for eGRID2019.EPAPLHGCRTString25400UNNOXPlant Unadjusted Annual NOx Emissions (UNNOX) - The total plant-level unadjusted annual NOx emissions, in short tons.EPAUNNOXInteger10100UNNOXOZPlant Unadjusted Ozone Season NOx Emissions (UNNOXOZ) - The unadjusted five-month ozone season (May through September) NOx emissions, in short tons, for the plant.EPAUNNOXOZInteger10100UNSO2Plant Unadjusted Annual SO2 Emissions (UNSO2) - The total plant-level unadjusted annual SO2 emissions, in short tons.EPAUNSO2Integer10100UNCO2Plant Unadjusted Annual CO2 Emissions (UNCO2) - The total plant-level unadjusted annual CO2 emissions, in short tons.EPAUNCO2Integer10100UNCH4Plant Unadjusted Annual CH4 Emissions (UNCH4) - The total plant-level unadjusted annual CH4 emissions, in pounds.EPAUNCH4Integer10100UNN2OPlant Unadjusted Annual N2O Emissions (UNN2O) - The total plant-level unadjusted annual N2O emissions, in pounds.EPAUNN2OInteger10100UNHGPlant Unadjusted Annual Hg Emissions (UNHG) - The total plant-level unadjusted annual Hg emissions, in pounds. Not calculated for eGRID2016.EPAUNHGString25400UNHTIPlant Unadjusted Annual Heat Input from Combustion (UNHTI) - The total plant-level unadjusted annual heat input from combustion, in MMBtu.EPA/CAMD, EIA-923UNHTIInteger10100UNHTIOZPlant Unadjusted Ozone Season Heat Input from Combustion (UNHTIOZ) - The five-month ozone season (May through September) heat input from combustion, in MMBtu for the plantEPA/CAMD, EIA-923UNHTIOZInteger10100UNHTITPlant Total Unadjusted Annual Heat Input (UNHTIT) - The total plant-level unadjusted annual heat input from combustion and noncombustion units, in MMBtu.EPA/CAMD, EIA-923UNHTITInteger10100UNHTIOZTPlant Total Unadjusted Ozone Season Heat Input (UNHTIOZT) - The five-month ozone season (May through September) heat input from combustion and noncombustion units, in MMBtu for the plant.EPA/CAMD, EIA-923UNHTIOZTInteger10100UNNOXSRCPlant Unadjusted Annual NOx Emissions Source (UNNOXSRC ) - The source of plant-level unadjusted annual NOx emissions.EPAUNNOXSRCString25400UNNOZSRCPlant Unadjusted Ozone Season NOx Emissions Source (UNNOZSRC) - The source of plant-level unadjusted ozone NOx emissions.EPAUNNOZSRCString25400UNSO2SRCPlant Unadjusted Annual SO2 Emissions Source (UNSO2SRC) - The source of plant-level unadjusted annual SO2 emissions.EPAUNSO2SRCString25400UNCO2SRCPlant Unadjusted Annual CO2 Emissions Source (UNCO2SRC) - The source of plant-level unadjusted annual CO2 emissions.EPAUNCO2SRCString25400UNCH4SRCPlant Unadjusted Annual CH4 Emissions Source (UNCH4SRC) - The source of plant-level unadjusted annual CH4 emissions.EPAUNCH4SRCString25400UNN2OSRCPlant Unadjusted Annual N2O Emissions Source (UNN2OSRC) - The source of plant-level unadjusted annual N2O emissions.EPAUNN2OSRCString25400UNHGSRCPlant Unadjusted Annual Hg Emissions Source (UNHGSRC) - The source of plant-level unadjusted annual Hg emissions. Not calculated for eGRID2016.EPAUNHGSRCString25400UNHTISRCPlant Unadjusted Annual Heat Input Source (UNHTISRC) - The source of plant-level unadjusted annual heat input.EPAUNHTISRCString25400UNHOZSRCPlant Unadjusted Ozone Season Heat Input Source (UNHOZSRC) - The source of plant-level unadjusted ozone season heat input.EPAUNHOZSRCString25400BIONOXPlant Annual NOx Biomass Emissions (BIONOX) - The annual plant-level NOx biomass emissions, in tons. This is the value the total emissions are adjusted by for the biomass emissions adjustments.EIA-923BIONOXInteger10100BIONOXOZPlant Ozone Season NOx Biomass Emissions (BIONOXOZ) - The five-month ozone season (May through September) plant-level NOx biomass emissions, in tons. This is the value the total emissions are adjusted by for the biomass emissions adjustments.EIA-923BIONOXOZInteger10100BIOSO2Plant Annual SO2 Biomass Emissions (BIOSO2) - The annual plant-level SO2 biomass emissions, in tons. This is the value the total emissions are adjusted by for the biomass emissions adjustments.EIA-923BIOSO2Integer10100BIOCO2Plant Annual CO2 Biomass Emissions (BIOCO2) - The annual plant-level CO2 biomass emissions, in tons. This is the value the total emissions are adjusted by for the biomass emissions adjustments.EIA-923BIOCO2Integer10100BIOCH4Plant Annual CH4 Biomass Emissions (BIOCH4) - The annual plant-level CH4 biomass emissions, in pounds. This is the value the total emissions are adjusted by for the biomass emissions adjustments.EIA-923BIOCH4Integer10100BION2OPlant Annual N2O Biomass Emissions (BION2O) - The annual plant-level N2O biomass emissions, in pounds. This is the value the total emissions are adjusted by for the biomass emissions adjustments.EIA-923BION2OInteger10100CHPCHTIPlant Combustion Annual Heat Input CHP Adjustment Value (CHPCHTI) – The annual plant-level heat input adjustment value for CHP plants, in MMBtuEPACHPCHTIInteger10100CHPCHTIOZPlant Combustion Ozone Season Heat Input CHP Adjustment Value (CHPCHTIOZ) - The five-month ozone season (May through September) plant-level heat input adjustment value for CHP plants, in MMBtu.EPACHPCHTIOZInteger10100CHPNOXPlant Annual NOx Emissions CHP Adjustment Value (CHPNOX) - The annual plant-level NOx emissions adjustment value for CHP plants, in tons.EPACHPNOXInteger10100CHPNOXOZPlant Ozone season NOx Emissions CHP Adjustment Value (CHPNOXOZ) - The five-month ozone season (May through September) plant-level NOx emissions adjustment value for CHP plants, in tons.EPACHPNOXOZInteger10100CHPSO2Plant Annual SO2 Emissions CHP Adjustment Value (CHPSO2) - The annual plant-level SO2 emissions adjustment value for CHP plants, in tons.EPACHPSO2Integer10100CHPCO2Plant Annual CO2 Emissions CHP Adjustment Value (CHPCO2) - The annual plant-level CO2 emissions adjustment value for CHP plants, in tons.EPACHPCO2Integer10100CHPCH4Plant Annual CH4 Emissions CHP Adjustment Value (CHPCH4) - The annual plant-level CH4 emissions adjustment value for CHP plants, in pounds.EPACHPCH4Integer10100CHPN2OPlant Annual N2O Emissions CHP Adjustment Value (CHPN2O) - The annual plant-level N2O emissionsadjustment value for CHP plants, in pounds.EPACHPN2OInteger10100PLHTRTPlant Nominal Heat Rate (PLHTRT) - The plant nominal heat rate, in Btu/kWh, for at least partially combusted plants. It is calculated as follows: PLHTRT = 1000 * (PLHTIAN / PLNGENAN) for combustion plants; and PLHTRT = 1000 * (PLHTIAN / PLGENACY) for partial combustion plants. For CHP plants, the value is, in effect, adjusted by the electric allocation factor, since the heat input has been adjusted.EPAPLHTRTString25400PLGENACLPlant Annual Coal Net Generation (PLGENACL) - The plant annual net generation, in MWh, for coal. Fuel codes that are included in coal are BIT, COG, SUB, LIG, WC, and SC.EPAPLGENACLInteger10100PLGENAOLPlant Annual Oil Net Generation (PLGENAOL) - The plant annual net generation, in MWh, for oil. Fuel codes included in oil are DFO, JF, KER, OO, PC, RFO, RG, and WO.EPAPLGENAOLString25400PLGENAGSPlant Annual Gas Net Generation (PLGENAGS) - The plant annual net generation, in MWh, for natural gas. Fuel codes included in gas are NG and PG.EPAPLGENAGSInteger10100PLGENANCPlant Annual Nuclear Net Generation (PLGENANC) - The plant annual net generation, in MWh, for nuclear. Fuel codes include NUC.EPAPLGENANCInteger10100PLGENAHYPlant Annual Hydro Net Generation (PLGENAHY) - The plant annual net generation, in MWh, for hydro. Fuel codes include WAT.EPAPLGENAHYInteger10100PLGENABMPlant Annual Biomass Net Generation (PLGENABM) - The annual net generation, in MWh, for biomass. Biomass is a fuel derived from organic matter such as wood and paper products, agricultural waste, or methane (e.g., from landfills). The renewable portion of solid waste, fuel code MSB, is included as biomass, as are AB, BLQ, DG, LFG, ME, OBL, OBS, PP, SLW, WDL, and WDS.EPAPLGENABMInteger10100PLGENAWIPlant Annual Wind Net Generation (PLGENAWI) - The plant annual net generation, in MWh, for wind. Fuel codes include WND.EPAPLGENAWIInteger10100PLGENASOPlant Annual Solar Net Generation (PLGENASO) - The plant annual net generation, in MWh, for solar. Fuel codes include SUN.EPAPLGENASOInteger10100PLGENAGTPlant Annual Geothermal Net Generation (PLGENAGT) - The plant annual net generation, in MWh, for geothermal. Fuel codes include GEO.EPAPLGENAGTInteger10100PLGENAOFPlant Annual Other Fossil Net Generation (PLGENAOF) - The plant annual net generation, in MWh, for other fossil fuel that cannot be categorized as coal, oil, or gas. Other fossil fuel codes include BFG, COG, HY, LB, MH, MSF, OG, PRG, and TDF.EPAPLGENAOFInteger10100PLGENAOPPlant Annual Other Unknown/ Purchased Fuel Net Generation (PLGENAOP) - The plant annual net generation, in MWh, for other unknown/purchased. Fuel codes include OTH, PUR, or WH.EPAPLGENAOPString25400PLGENATNPlant Annual Total Nonrenewables Net Generation (PLGENATN) - The annual total nonrenewables net generation, in MWh, for the plant. Nonrenewables are exhaustible energy resources such as coal, oil, gas, other fossil, nuclear power, and other unknown/purchased fuel. This field is the sum of PLGENACL, PLGENAOL, PLGENAGS, PLGENAOF, PLGENANC, and PLGENAOP.EPAPLGENATNString25400PLGENATRPlant Annual Total Renewables Net Generation (PLGENATR) - The annual total renewables net generation, in MWh, for the plant. Renewables are inexhaustible energy resources such as biomass, wind, solar, geothermal, and hydro. This field is the sum of PLGENABM, PLGENAWI, PLGENASO, PLGENAGT, and PLGENAHY.EPAPLGENATRInteger10100PLGENATHPlant Annual Total Nonhydro Renewables Net Generation (PLGENATH) - The annual total nonhydro renewables net generation, in MWh, for the plant. This field is the sum of PLGENABM, PLGENAWI, PLGENASO, and PLGENAGT.EPAPLGENATHInteger10100PLGENACYPlant Annual Total Combustion Net Generation (PLGENACY) - The annual total combustion net generation, in MWh, for the plant. This field is the sum of PLGENACL, PLGENAOL, PLGENAGS, PLGENAOF, PLGENABM, and PLGENAOP.EPAPLGENACYString25400PLGENACNPlant Annual Total Noncombustion Net Generation (PLGENACN) - The annual total noncombustion net generation, in MWh, for the plant. This field is the sum of PLGENANC, PLGENAHY, PLGENAWI, PLGENASO, and PLGENAGT.EPAPLGENACNInteger10100PLCLPRPlant Coal Generation Percent (PLCLPR) - The coal resource mix expressed as a percent of plant annual net generation. PLCLPR = 100 * (PLGENACL / PLNGENAN).EPAPLCLPRString25400PLOLPRPlant Oil Generation Percent (PLOLPR) - The oil resource mix expressed as a percent of plant annual net generation. PLOLPR = 100 * (PLGENAOL / PLNGENAN).EPAPLOLPRString25400PLGSPRPlant Gas Generation Percent (PLGSPR) - The gas resource mix expressed as a percent of plant annual net generation. PLGSPR = 100 * (PLGENAGS / PLNGENAN).EPAPLGSPRString25400PLNCPRPlant Nuclear Generation Percent (PLNCPR) - The nuclear resource mix expressed as a percent of plant annual net generation. PLNCPR = 100 * (PLGENANC / PLNGENAN).EPAPLNCPRString25400PLHYPRPlant Hydro Generation Percent (PLHYPR) - The hydro resource mix expressed as a percent of plant annual net generation. PLHYPR = 100 * (PLGENAHY / PLNGENAN).EPAPLHYPRString25400PLBMPRPlant Biomass Generation Percent (PLBMPR) - The biomass resource mix expressed as a percent of plant annual net generation. PLBMPR = 100 * (PLGENABM / PLNGENAN).EPAPLBMPRString25400PLWIPRPlant Wind Generation Percent (PLWIPR) - The wind resource mix expressed as a percent of plant annual net generation. PLWIPR = 100 * (PLGENAWI / PLNGENAN).EPAPLWIPRString25400PLSOPRPlant Solar Generation Percent (PLSOPR) - The solar resource mix expressed as a percent of plant annual net generation. PLSOPR = 100 * (PLGENASO / PLNGENAN).EPAPLSOPRString25400PLGTPRPlant Geothermal Generation Percent (PLGTPR) - The geothermal resource mix expressed as a percent of plant annual net generation.: PLGTPR = 100 * (PLGENAGT / PLNGENAN).EPAPLGTPRString25400PLOFPRPlant Other Fossil Generation Percent (PLOFPR) - The other fossil resource mix expressed as a percent of plant annual net generation. PLOFPR = 100 * (PLGENAOF / PLNGENAN).EPAPLOFPRString25400PLOPPRPlant Other Unknown/Purchased Fuel Generation Percent (PLOPPR) - The other unknown/purchased fuel/waste heat resource mix expressed as a percent of plant annual net generation. PLOPPR = 100 * (PLGENAOP / PLNGENAN).EPAPLOPPRString25400PLTNPRPlant Total Nonrenewables Generation Percent (PLTNPR) - The total nonrenewables resource mix expressed as a percent of plant annual net generation. PLTNPR = 100 * (PLGENATN / PLNGENAN).EPAPLTNPRString25400PLTRPRPlant Total Renewables Generation Percent (PLTRPR) - The total renewables resource mix expressed as a percent of plant annual net generation. PLTRPR = 100 * (PLGENATR / PLNGENAN).EPAPLTRPRString25400PLTHPRPlant Total Nonhydro Renewables Generation Percent (PLTHPR) - The total nonhydro renewables resource mix expressed as a percent of plant annual net generation. PLTHPR = 100 * (PLGENATH / PLNGENAN).EPAPLTHPRString25400PLCYPRPlant Total Combustion Generation Percent (PLCYPR) - The total combustion resource mix expressed as a percent of plant annual net generation. PLCYPR = 100 * (PLGENACY / PLNGENAN).EPAPLCYPRString25400PLCNPRPlant Total Noncombustion Generation Percent (PLCNPR) - The total noncombustion resource mix expressed as a percent of plant annual net generation. PLCNPR = 100 * (PLGENACN / PLNGENAN).EPAPLCNPRString25400NOTESNotes about the plant.GeoPlanNOTESString25400NUCLEARWhether the Plant uses nuclear power or not (YES = Nuclear Power Plant).GeoPlanNUCLEARString500LAT_DDLatitude in decimal degrees.GeoPlanLAT_DDDouble19188LONG_DDLongitude in decimal degrees.GeoPlanLONG_DDDouble19188MGRSMilitary Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.org/GeoPlanMGRSString1500GOOGLEMAPWebpage hyperlink to location in Google Maps.GeoPlanGOOGLEMAPString10000DESCRIPTBased on PNAME.GeoPlanDESCRIPTString5000FGDLAQDATEThe date FGDL acquired the data from the Source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger10100Florida Geographic Data Library (FGDL)mailing431 Architecture PO Box 115706GainesvilleFlorida32611-5706USMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlDOWNLOADABLE DATAThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html20210727U.S. Environmental Protection Agency Clean Air Markets Divisionmailing1200 Pennsylvania Avenue, NW (MC 6204M)WashingtonD.C.20460UShttps://www.epa.gov/egrid/forms/contact-us-about-egridFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeU.S. Environmental Protection Agency Clean Air Markets Division1200 Pennsylvania Avenue, NW (MC 6204M)WashingtonD.C.20460UShttps://www.epa.gov/egrid/forms/contact-us-about-egrid20210727ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlDOWNLOADABLE DATAhttps://www.epa.gov/egrid0.000ShapefileUS EPA Emissions and Generation Resource Integrated Database (EGRID 2019) for Electricity Generating Plants in Florida - Published 20212021-02-23eGRID2019 YEAR 2019 DATAU.S. Environmental Protection AgencyU.S. Environmental Protection AgencyWashington, D.C.vector digital dataState of FloridaThe Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on the environmental characteristics of almost all electric power generated in the United States. This dataset includes available plant-specific data for electricity generating plants in the State of Florida. The preeminent source of emissions data for the electric power sector, eGRID is based on available plant-specific data for all U.S. electricity generating plants that provide power to the electric grid and report data to the U.S. government. Data reported include, but are not limited to, net electric generation; resource mix (for renewable and nonrenewable generation); mass emissions of carbon dioxide (CO2), nitrogen oxides (NOx), sulfur dioxide (SO2), methane (CH4), nitrous oxide (N2O), and mercury (Hg); emission rates for CO2, NOx, SO2, CH4, and N2O; heat input; and nameplate capacity. eGRID reports this information on an annual basis (as well as by ozone season for NOx) at different levels of aggregation. eGRID2019, released in February 2021, is the fourteenth edition of eGRID. Please note: The EPA has recently changed the naming convention of eGRID. The current edition is named with a year corresponding to the year of the data (eGRID2019), while the publication year of the data is 2021. Those changes are reflected in the title above. For more information on eGRID please see the following EPA documentation: https://www.epa.gov/sites/production/files/2021-02/documents/egrid2019_technical_guide.pdf. This layer is an update to the FGDL layer EPAEGRID_2018.shp.The data was created to serve as base information for use in GIS systems for a variety of planning and analytical purposes.EPA Clean Energy DepartmentU.S. Environmental Protection AgencyEnergy and the Environment Website1200 Pennsylvania Ave NW (MC 6202A)WashingtonD.C.20460UShttps://www.epa.gov/energy/forms/contact-us-about-energy-and-environmentContact Us About Energy and the EnvironmentFlorida2018Powerpower plantEmissions & Generation Resource Integrated DatabaseelectricNuclearelectricitypower gridenvironmentutilitiesCommunicationISO 19115 Topic CategoryPowerenvironmentpower plantFloridautilitiesCommunicationEmissions & Generation Resource Integrated DatabaseelectricNuclear2018electricitypower gridThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlU.S. Environmental Protection AgencyWashington, DCEPA - eGRID: https://www.epa.gov/egrid For more information on eGRID please see the following EPA documentation: https://www.epa.gov/sites/production/files/2021-02/documents/egrid2019_technical_guide.pdfhttps://www.epa.gov/egridVersion 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362-87.416105-79.88056224.52688231.42467publication date2019-01-01What is eGRID? The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive inventory of environmental attributes of electric power systems. The preeminent source of air emission data for the electric power sector, eGRID is based on available plant-specific data for all U.S. electricity generating plants that provide power to the electric grid and report data to the U.S. government. eGRID uses data from the Energy Information Administration (EIA) Forms EIA-860 and EIA-923 and EPA’s Clean Air Markets Program Data. Emission data from EPA are carefully integrated with generation data from EIA to produce useful values like pounds of emissions per megawatt-hour of electricity generation (lb/MWh), which allows direct comparison of the environmental attributes of electricity generation. eGRID also provides aggregated data by state, U.S. total, and by three different sets of electric grid boundaries (i.e., balancing authority area, NERC region, and eGRID subregion). Why eGRID? Many consumers have a choice regarding the source of their electricity, and some seek cleaner sources, such as wind and solar power. EPA’s Power Profiler application, which uses eGRID data, helps individual consumers understand the environmental impacts of their own electricity usage. Electricity generation is the dominant industrial source of air emissions in the United States today. Whenever you switch on an electrical appliance, chances are you are contributing to air pollution and greenhouse gas emissions. By documenting the environmental attributes of electric power generation, eGRID can help consumers and researchers to better understand the relationship between electricity and the environment. In the United States, electricity is generated in many different ways, with a wide variation in environmental impacts. In many states, power companies are required to disclose the environmental attributes of their retail electricity products. eGRID data can be used to support the following activities: Greenhouse gas registries and inventories, Carbon footprinting, Consumer information disclosure, Renewable portfolio standards, Development of emission inventories and emission standards, Analysis of changing power markets, and Estimation of avoided emissions. What information is contained in eGRID? For virtually every grid-connected power plant in the United States, eGRID provides: A detailed emissions profile, covering nitrogen oxides (NOX), sulfur dioxide (SO2), carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and mercury (Hg). Mass emissions are reported in either pounds or tons. Output emission rates are reported pounds per megawatt-hour (lb/MWh). Input emission rates are reported in pounds per million British thermal units (lb/MMBtu). Generation resource mix, in megawatt-hours and percent. Identification and location information. eGRID provides separate data at the combustion unit and generator levels. These data are combined at the plant level. The plant level data are then aggregated to state, U.S. total, and three types of power grid regions:? Balancing authority area (generally smaller regions of the power grid in which all power plants are managed to balance power system demand and supply); eGRID subregion; and NERC region, as designated by the North American Electric Reliability Corporation (plus Alaska, Hawaii, and Puerto Rico). Source: https://www.epa.gov/egrid/egrid-questions-and-answersThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topologyThis data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlanThis data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanGeoPlan Center downloaded the EPA eGRID2019 year 2019 data in excel format from the following EPA website on 7/6/2021: https://www.epa.gov/egrid/download-data Released: 2/23/2021. Next, GeoPlan imported the eGRID2019 PLNT19 excel sheet from the eGRID2019 excel workbook into ArcMap. The PLNT19 excel workbook sheet contained 11,865 year 2019 records representing electricity generation plants. The PLNT19 excel workbook sheet was then exported from ArcMap as a Database table. Next the newly created PLNT19.DBF was spatially mapped using the LAT and LON fields containing decimal degrees to 4 decimal places spatial information. Records with no latitude/longitude information were removed from the data set. Next the newly created PLNT16.SHP projection was defined as GCS_WGS_1984, and then it was reprojected to the FGDL Albers NAD 83 HARN projection. Next a selection was performed on the State FIPS ID field where it was equal to 12 (i.e. the State of Florida). Several other power plants that skirted the Florida border were also included. Next the selection was exported to a new shapefile called EPAEGRID_2019.SHP Next all of the field information was Upper Cased, and five fields were added; NOTES, NUCLEAR, DESCRIPT (based on PNAME), FGDLAQDATE (based on the date the data was downloaded from the Source). Facilities no longer in operation were designated as (CLOSED) in the DESCRIPT field. Planned facilities were designated as (PROPOSED) in the DESCRIPT field. Information on closed and proposed facilities was obtained via google and from the following website: http://www.energyjustice.net/map/searchfacility-basic.php. Certain points were moved, see NOTES field for features altered. Facility address information from the following website was used to help better locate the physical locations of the facilities: http://www.energyjustice.net/map/searchfacility-basic.php Two new fields were added to the table since the previous update: PLC2ECRT and CHPN2O. The following fields were added by GeoPlan: LAT_DD, LONG_DD, MGRS, GOOGLEMAP, DESCRIPT, and FGDLAQDATE. See field definitions for more info.2021-07-06GeoPlanSpatial and Attribute Information0Emissions & Generation Resource Integrated Database (eGRID)EPA2021-02-23eGRID2019 year 2019 dataU.S. Environmental Protection AgencyWashington, DCU.S. Environmental Protection Agencyspreadsheethttps://www.epa.gov/egrid020210727173952001.0epaegrid_20190020.000file://\\data.ufdc-fs01.osg.ufl.edu\geo-fs8-qaqc\finaldata\state\post_load\epaegrid_2019.shpLocal Area NetworkProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>225743210.67916927</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>CopyFeatures "Database Connections\poke_etat.sde\aaa\EPAEGRID_2019" Q:\finaldata\state\post_load\epaegrid_2019.shp # 0 0 020210727173957002021072717395700original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk
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