WMS Geoscience Australia and Monash University have produced a series of renewable energy capacity factor maps of Australia. Solar photovoltaic, concentrated solar power, wind (150 m hub height) and hybrid wind and solar capacity factor maps are included in this web service. Australia Web service Renewable energy Capacity factor Geoscience Australia Postal

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This product is released under the Creative Commons Attribution 4.0 International Licence. http://creativecommons.org/licenses/by/4.0/legalcode 4096 4096 application/vnd.ogc.wms_xml text/xml image/bmp image/jpeg image/tiff image/png image/png8 image/png24 image/png32 image/gif image/svg+xml application/vnd.esri.wms_raw_xml application/vnd.esri.wms_featureinfo_xml application/vnd.ogc.wms_xml application/geojson text/xml text/html text/plain application/vnd.ogc.sld+xml application/vnd.ogc.se_xml application/vnd.ogc.se_inimage application/vnd.ogc.se_blank text/xml XML EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind90percent_Solar10percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 90% : solar 10%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 10% and the maximum is 48%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind80percent_Solar20percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 80% : solar 20%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 12% and the maximum is 51%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind70percent_Solar30percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 70% : solar 30%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 15% and the maximum is 55%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind60percent_Solar40percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 60% : solar 40%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 20% and the maximum is 59%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind50percent_Solar50percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 50% : solar 50%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind40percent_Solar60percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 40% : solar 60%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 20% and the maximum is 52%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind30percent_Solar70percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 30% : solar 70%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 13% and the maximum is 42%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind20percent_Solar80percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 20% : solar 80%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 8% and the maximum is 34%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind10percent_Solar90percent_RS Hybrid Wind and Solar capacity factor map of Australia - wind 10% : solar 90%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is 3% and the maximum is 29%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on a relative scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind90percent_Solar10percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 90% : solar 10%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind80percent_Solar20percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 80% : solar 20%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind70percent_Solar30percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 70% : solar 30%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind60percent_Solar40percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 60% : solar 40%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind50percent_Solar50percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 50% : solar 50%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind40percent_Solar60percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 40% : solar 60%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind30percent_Solar70percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 30% : solar 70%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind20percent_Solar80percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 20% : solar 80%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind10percent_Solar90percent_AS Hybrid Wind and Solar capacity factor map of Australia - wind 10% : solar 90%. The map shows the capacity factor available for electrolysis. Wind and solar plants might be oversized to increase the overall running time of the hydrogen plant allowing the investor to reduce electrolyser capital expenditures for the same amount of output. Calculations also include curtailment (or capping) of excess electricity when more electricity is generated than required to operate the electrolyser. The minimum capacity factor is less than 25% and the maximum is 64%. The map is derived from Global Modeling and Assimilation Office (2015), DNV GL (2016) and Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). Layer is displayed on an absolute scale. EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 Wind_150mHubHeight_CapacityFactor Wind (150 m hub height) capacity factor map of Australia. The minimum capacity factor is less than 15% and the maximum is 42%. The map is derived from Global Modeling and Assimilation Office (2015) and DNV GL (2016) data. The scientific colour map is sourced from Crameri (2018). EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 text/html ConcentratedSolarPower_CapacityFactor Concentrated Solar Power capacity factor map of Australia. The minimum capacity factor is 52% and the maximum is 62%. The map is derived from Bureau of Meteorology (2020) data. Minimum exposure cut-off values used are from International Renewable Energy Agency (2012) and Wang (2019). The scientific colour map is sourced from Crameri (2018). EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 text/html SolarPhotovoltaic_CapacityFactor Solar Photovoltaic capacity factor map of Australia. The minimum capacity factor is less than 10% and the maximum is 25%. The map is derived from Bureau of Meteorology (2020) data. The scientific colour map is sourced from Crameri (2018). EPSG:4283 EPSG:4326 CRS:84 EPSG:3857 EPSG:28348 EPSG:28349 EPSG:28350 EPSG:28351 EPSG:28352 EPSG:28353 EPSG:28354 EPSG:28355 EPSG:28356 EPSG:28357 EPSG:28358 EPSG:32748 EPSG:32749 EPSG:32750 EPSG:32751 EPSG:32752 EPSG:32753 EPSG:32754 EPSG:32755 EPSG:32756 EPSG:32757 EPSG:32758 EPSG:3031 EPSG:3032 EPSG:102100 111.500000 154.500000 -44.500000 -9.500000 text/html