20250115
11590100
1.0
FALSE
Dissolve Hosted\US_generators_all_technology_types\US_generators_all_technology_types P:\05_AnalysisProjects_Working\DOE_HQ_Requests\Coal_Plant_Transitions\CoalReinvestment_DBS.gdb\US_PowerPlants f_860m_plantid "f_860m_entityname FIRST;f_860m_plantstate FIRST;f_860m_county FIRST;f_860m_generatorid COUNT;f_860m_technology CONCATENATE;f_860m_nameplatecapacity_mw_ SUM;f_860m_operatingyear MIN;f_860m_plannedretirementyear MAX;f_powerp_primsource CONCATENATE;f_powerp_source_desc CONCATENATE;f_powerp_tech_desc CONCATENATE;f_powerp_install_mw CONCATENATE;f_powerp_total_mw CONCATENATE;f_860m_operationalstatus_aug_05 CONCATENATE;f_860m_status CONCATENATE" MULTI_PART DISSOLVE_LINES ", "
ExportFeatures "US_PowerPlants selection" P:\05_AnalysisProjects_Working\DOE_HQ_Requests\Coal_Plant_Transitions\CoalReinvestment_DBS.gdb\US_PowerPlants_wCoal # NOT_USE_ALIAS "f_860m_plantid "plant ID" true true false 8 Double 0 0,First,#,US_PowerPlants selection,f_860m_plantid,-1,-1;FIRST_f_860m_entityname "FIRST_f_860m_entityname" true true false 65536 Text 0 0,First,#,US_PowerPlants selection,FIRST_f_860m_entityname,0,65535;CONCATENATE_f_860m_status "CONCATENATE_f_860m_status" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_860m_status,0,2147483646;FIRST_f_860m_plantstate "FIRST_f_860m_plantstate" true true false 65536 Text 0 0,First,#,US_PowerPlants selection,FIRST_f_860m_plantstate,0,65535;FIRST_f_860m_county "FIRST_f_860m_county" true true false 65536 Text 0 0,First,#,US_PowerPlants selection,FIRST_f_860m_county,0,65535;COUNT_f_860m_generatorid "COUNT_f_860m_generatorid" true true false 4 Long 0 0,First,#,US_PowerPlants selection,COUNT_f_860m_generatorid,-1,-1;CONCATENATE_f_860m_operationalstatus_aug_05 "CONCATENATE_f_860m_operationalstatus_aug_05" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_860m_operationalstatus_aug_05,0,2147483646;CONCATENATE_f_860m_technology "CONCATENATE_f_860m_technology" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_860m_technology,0,2147483646;SUM_f_860m_nameplatecapacity_mw_ "SUM_f_860m_nameplatecapacity_mw_" true true false 8 Double 0 0,First,#,US_PowerPlants selection,SUM_f_860m_nameplatecapacity_mw_,-1,-1;MIN_f_860m_operatingyear "MIN_f_860m_operatingyear" true true false 8 Double 0 0,First,#,US_PowerPlants selection,MIN_f_860m_operatingyear,-1,-1;MAX_f_860m_plannedretirementyear "MAX_f_860m_plannedretirementyear" true true false 65536 Text 0 0,First,#,US_PowerPlants selection,MAX_f_860m_plannedretirementyear,0,65535;CONCATENATE_f_powerp_primsource "CONCATENATE_f_powerp_primsource" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_powerp_primsource,0,2147483646;CONCATENATE_f_powerp_source_desc "CONCATENATE_f_powerp_source_desc" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_powerp_source_desc,0,2147483646;CONCATENATE_f_powerp_tech_desc "CONCATENATE_f_powerp_tech_desc" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_powerp_tech_desc,0,2147483646;CONCATENATE_f_powerp_install_mw "CONCATENATE_f_powerp_install_mw" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_powerp_install_mw,0,2147483646;CONCATENATE_f_powerp_total_mw "CONCATENATE_f_powerp_total_mw" true true false 2147483647 Text 0 0,First,#,US_PowerPlants selection,CONCATENATE_f_powerp_total_mw,0,2147483646" #
CalculateField US_PowerPlants_wCoal CONCATENATE_f_powerp_primsource "natural gas" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_powerp_primsource "coal" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_powerp_primsource "coal" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Closed" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Closed" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Operating" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_operationalstatus_aug_05 "Cancelled or Postponed" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Canceled or Postponed" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Retired" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Retired" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Operating with partial retirements" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Operating with partial retirements" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal CONCATENATE_f_860m_status "Operating with planned retirements" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
ExportFeatures US_PowerPlants_wCoal P:\05_AnalysisProjects_Working\40209_CensusTracts\40209Mapping\40209Mapping.gdb\US_PowerPlants_wCoal_ExportFeatures # NOT_USE_ALIAS "PP_plantid "plant ID" true true false 8 Double 0 0,First,#,US_PowerPlants_wCoal,f_860m_plantid,-1,-1;PP_primsource "PP_primesource" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_powerp_primsource,0,2147483646;PP_entityname "PP_entityname" true true false 65536 Text 0 0,First,#,US_PowerPlants_wCoal,FIRST_f_860m_entityname,0,65535;PP_status "PP_status" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_860m_status,0,2147483646;PP_plantstate "PP_plantstate" true true false 65536 Text 0 0,First,#,US_PowerPlants_wCoal,FIRST_f_860m_plantstate,0,65535;PP_plantcounty "PP_plantcounty" true true false 65536 Text 0 0,First,#,US_PowerPlants_wCoal,FIRST_f_860m_county,0,65535;PP_Num_generators "PP_Num_generators" true true false 4 Long 0 0,First,#,US_PowerPlants_wCoal,COUNT_f_860m_generatorid,-1,-1;PP_gen_status "PP_gen_status" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_860m_operationalstatus_aug_05,0,2147483646;PP_gen_technology "PP_gen_technology" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_860m_technology,0,2147483646;PP_gen_SUMnpcapacity_mw "PP_gen_SUMnpcapacity_mw" true true false 8 Double 0 0,First,#,US_PowerPlants_wCoal,SUM_f_860m_nameplatecapacity_mw_,-1,-1;PP_operatingYear "PP_operatingYear" true true false 8 Double 0 0,First,#,US_PowerPlants_wCoal,MIN_f_860m_operatingyear,-1,-1;PP_plannedretirementyear "PP_plannedretirementyear" true true false 65536 Text 0 0,First,#,US_PowerPlants_wCoal,MAX_f_860m_plannedretirementyear,0,65535;PP_source_desc "PP_source_desc" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_powerp_source_desc,0,2147483646;PP_tech_desc "PP_tech_desc" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_powerp_tech_desc,0,2147483646;PP_install_mw "PP_install_mw" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_powerp_install_mw,0,2147483646;PP_total_cap_mw "PP_total_cap_mw" true true false 2147483647 Text 0 0,First,#,US_PowerPlants_wCoal,CONCATENATE_f_powerp_total_mw,0,2147483646" #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.4.0'><WorkspaceConnectionString>DATABASE=P:\05_AnalysisProjects_Working\40209_CensusTracts\40209Mapping\40209Mapping.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>US_PowerPlants_wCoal_ExportFeatures</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>PP_Status_catg</field_name><field_type>TEXT</field_type><field_length>255</field_length><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Retired" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Operating" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Operating with Planned Retirements" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Operating" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Operating with Planned Retirements" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Operating" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Closed" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Other" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_Status_catg "Closed" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_status "Retired" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.4.0'><WorkspaceConnectionString>DATABASE=P:\05_AnalysisProjects_Working\40209_CensusTracts\40209Mapping\40209Mapping.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>US_PowerPlants_wCoal_ExportFeatures</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><DeleteField><field_name>PP_gen_status</field_name></DeleteField></workflow></operationSequence>
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.4.0'><WorkspaceConnectionString>DATABASE=P:\05_AnalysisProjects_Working\40209_CensusTracts\40209Mapping\40209Mapping.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>US_PowerPlants_wCoal_ExportFeatures</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AlterField><field_name>PP_status</field_name><new_field_name>PP_genstatus</new_field_name><field_type>TEXT</field_type><field_is_nullable>True</field_is_nullable><clear_field_alias>False</clear_field_alias></AlterField></workflow></operationSequence>
CalculateField US_PowerPlants_wCoal_ExportFeatures PP_gen_technology "Conventional Steam Coal" PYTHON3 # TEXT NO_ENFORCE_DOMAINS
US_PowerPlants_wCoal_ExportFeatures
002
file://\\10.50.10.198\gaia\05_AnalysisProjects_Working\40209_CensusTracts\40209Mapping\40209Mapping.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.4.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20250115
16114600
20250115
16114600
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.4.0.55405
US Power Plants with Coal generation
File Geodatabase Feature Class
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
US_PowerPlants_wCoal_ExportFeatures
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
PP_plantid
plant ID
Double
8
0
0
PP_primsource
PP_primesource
String
2147483647
0
0
PP_entityname
PP_entityname
String
65536
0
0
PP_status
PP_status
String
2147483647
0
0
PP_plantstate
PP_plantstate
String
65536
0
0
PP_plantcounty
PP_plantcounty
String
65536
0
0
PP_Num_generators
PP_Num_generators
Integer
4
0
0
PP_gen_status
PP_gen_status
String
2147483647
0
0
PP_gen_technology
PP_gen_technology
String
2147483647
0
0
PP_gen_SUMnpcapacity_mw
PP_gen_SUMnpcapacity_mw
Double
8
0
0
PP_operatingYear
PP_operatingYear
Double
8
0
0
PP_plannedretirementyear
PP_plannedretirementyear
String
65536
0
0
PP_source_desc
PP_source_desc
String
2147483647
0
0
PP_tech_desc
PP_tech_desc
String
2147483647
0
0
PP_install_mw
PP_install_mw
String
2147483647
0
0
PP_total_cap_mw
PP_total_cap_mw
String
2147483647
0
0
20250115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