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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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| | |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 |
Revision as of 10:51, 17 January 2020
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Flexibilisation in Geographic Information Systems
by DLR Institute of Networked Energy Systems
Authors:
Alaa Alhamwi
Contact:
Alaa Alhamwi
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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.
Based on . Using for data processing.
Website / Documentation
Download
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 Open Source
BSD 3-Clause "New" or "Revised" License (BSD-3-Clause)
Directly downloadable
Some input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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urban energy systems
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| Sectors
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Electricity Sector
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| Technologies
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Renewables
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| Decisions
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| Regions
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| Geographic Resolution
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building, street, district, city
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| Time resolution
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15 Minute
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| Network coverage
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distribution
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| Model type
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Optimization, Simulation
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Modelling and optimisation mathematical model
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| Variables
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| Computation time
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minutes
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| Objective
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simualte local urban demand and supply, localise distributed storage, minimise total system costs
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| Uncertainty modeling
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas
https://dx.doi.org/https://doi.org/10.1016/j.apenergy.2017.01.048.
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