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| | |Full_Model_Name=Flexibilisation in Geographic Information Systems | | |Full_Model_Name=Flexibilisation in Geographic Information Systems |
| | |Acronym=FlexiGIS | | |Acronym=FlexiGIS |
| − | |author_institution=German Aerospace Center (DLR) Institute of Networked Energy Systems https://www.dlr.de/ve/ | + | |author_institution=DLR Institute of Networked Energy Systems |
| | |authors=Alaa Alhamwi | | |authors=Alaa Alhamwi |
| | |contact_persons=Alaa Alhamwi | | |contact_persons=Alaa Alhamwi |
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| | |website=https://github.com/FlexiGIS/FlexiGIS.git | | |website=https://github.com/FlexiGIS/FlexiGIS.git |
| | |source_download=https://github.com/FlexiGIS/FlexiGIS.git | | |source_download=https://github.com/FlexiGIS/FlexiGIS.git |
| − | |text_description=FlexiGIS: an open source GIS-based platform for modelling energy systems and flexibility options in urban areas. It extracts, filters and categorises the geo-referenced urban energy infrastructure, simulates the local electricity consumption and power generation from on-site renewable energy resources, and allocates the required decentralised storage in urban settings using urbs. FlexiGIS investigates systematically different scenarios of self-consumption, it analyses the characteristics and roles of flexibilisation technologies in promoting higher autarky levels in cities. The extracted urban energy infrustructure are based mainly on OpenStreetMap data. | + | |logo=Suit1.png |
| | + | |text_description=FlexiGIS: an open source GIS-based platform for modelling energy systems and flexibility options in urban areas. It extracts, filters and categorises the geo-referenced urban energy infrastructure, simulates the local electricity consumption and power generation from on-site renewable energy resources, and allocates the required decentralised storage in urban settings using oemof-solph. FlexiGIS investigates systematically different scenarios of self-consumption, it analyses the characteristics and roles of flexibilisation technologies in promoting higher autarky levels in cities. The extracted urban energy infrustructure are based mainly on OpenStreetMap data. |
| | |Source of funding=DLR | | |Source of funding=DLR |
| | |open_source_licensed=Yes | | |open_source_licensed=Yes |
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| | |data_availability=some | | |data_availability=some |
| | |open_future=No | | |open_future=No |
| − | |External optimizer=GLPK, urbs | + | |modelling_software=Python |
| | + | |processing_software=Geopandas |
| | + | |External optimizer=GLPK, oemof-solph |
| | |GUI=No | | |GUI=No |
| | |model_class=urban energy systems | | |model_class=urban energy systems |
| − | |sectors=Electricity Sector, | + | |sectors=Electricity Sector, |
| | |technologies=Renewables | | |technologies=Renewables |
| | |Demand sectors=Households, Industry, Commercial sector | | |Demand sectors=Households, Industry, Commercial sector |
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| | |Model validation=simulated consumption and generation were validated against real measured data | | |Model validation=simulated consumption and generation were validated against real measured data |
| | |Comment on model validation=real data of the respective city are required | | |Comment on model validation=real data of the respective city are required |
| | + | |Integrated models=oemof |
| | |Model input file format=No | | |Model input file format=No |
| | |Model file format=No | | |Model file format=No |
| | |Model output file format=No | | |Model output file format=No |
| | }} | | }} |
