FlexiGIS

FlexiGIS is a software tool for processing and analysing GIS-based data to design urban energy systems. Models developed with FlexiGIS enable the exploration and assessment of flexibility options in cities.

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Description

FlexiGIS (Flexibilisation in Geographic Information System) is a framework for developing linear optimisation models of urban systems. The framework consists of a collection of mutually compatible source codes required for a particular model, which can be combined in a modular way. This modular structure allows the reuse of the same modelling concepts and associated source codes to address different research questions, all based on a common set of model features. The software combines three main components: data processing, simulation of energy supply and demand, and system optimization. Together, these modules generate data-driven recommendations to support sustainable and efficient urban energy planning.

FlexiGIS is designed to model urban systems for research in the field of energy system modelling. It regularly processes publicly available datasets to map, classify, and model urban energy infrastructures, with a particular focus on georeferenced data. These datasets may include building areas, road networks, or land-use information. FlexiGIS enhances these datasets with modelled information, such as the electricity demand of individual buildings, by considering factors like building age or demographic data. Within its optimisation environment, the software can determine the most cost-effective deployment of different technologies while ensuring security of supply in urban areas. Constraints on technologies—such as limited expansion space are included as boundary conditions. By mapping and evaluating different development scenarios for urban energy systems, FlexiGIS makes it possible to quantify both the degree of regional self-sufficiency and the flexibility potential of cities.

Thanks to its transferability, FlexiGIS provides global support for the development and implementation of strategies for sustainable urban energy systems.

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Programming languages
  • Python 80%
  • Makefile 20%
License
Not specified
</>Source code

Participating organisations

DLR

Reference papers

Mentions

Contributors

AA
Alaa Alhamwi
developer
DLR Institute of Networked Energy Systems
FW
Francesco Witte
Entwickler
DLR Institute of Networked Energy Systems

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oemof.solph is a model generator for energy system modelling and optimisation. It facilitates the formulation of (mixed-integer) linear programs from a generic graph-based structure, allowing to create multi-sector models on different levels of detail with user-defined time-resolution.

Updated 17 months ago
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