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| |source_download=https://github.com/ozsolarwind/siren | | |source_download=https://github.com/ozsolarwind/siren |
| |logo=Sen logo 99.png | | |logo=Sen logo 99.png |
− | |text_description=SIREN uses external datasets to model the potential for renewable energy generation for a geographic region. The approach is to model the data on an hourly basis for a desired year (ignoring leap days, that is, 8,760 hours). Users explore potential location and scale of renewable energy sources (stations, storage, transmission) to meet electricity demand. It is possible to model any geographic area and uses a number of open or publicaly available data sources: | + | |text_description=SIREN uses external datasets to model the potential for renewable energy generation for a geographic region. The approach is to model the data on an hourly basis for a desired year (ignoring leap days, that is, 8,760 hours). Users explore potential location and scale of renewable energy sources (stations, storage, transmission) to meet electricity demand. It is possible to model any geographic area and uses a number of open or publicly available data sources: |
| o Maps can be created from OpenStreet Map (MapQuest) tiles | | o Maps can be created from OpenStreet Map (MapQuest) tiles |
| o Weather data files can be created from NASA (MERRA2) satellite data | | o Weather data files can be created from NASA (MERRA2) satellite data |
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| |modelling_software=Python, NREL SAM | | |modelling_software=Python, NREL SAM |
| |processing_software=Python | | |processing_software=Python |
− | |sectors=Electricity, | + | |model_class=Electricity System Model, |
| + | |sectors=Electricity, |
| |technologies=Renewables | | |technologies=Renewables |
| |decisions=dispatch, investment | | |decisions=dispatch, investment |
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| |math_objective=Match generation to demand and minimise cost | | |math_objective=Match generation to demand and minimise cost |
| |is_suited_for_many_scenarios=No | | |is_suited_for_many_scenarios=No |
− | |report_references=http://www.sen.asn.au/modelling_findings | + | |report_references=http://www.sen.asn.au/modelling_findings |
| }} | | }} |