Planning Of Sustainable Energy Systems For Residential Areas Using An Open Source Optimization Tool And Open Data Ressources
- Global warming and CO2 emission reduction targets mandate a closer look to energy system planning on different levels. In this work we model a typical residential area that will be built and has to be equipped with a cost optimized, decentral energy system with a high degree of energy autarky and integration of renewable sources. We sketch out the optimization problem and show that the optimization can be done using open data and an open source tool, the Helmholtz Framework for Integrated Energy System Assessment tool, FINE, exclusively. The energy system model chooses from a predetermined set of technologies, takes into account a temporal discretization approach for energy demands as well as for energy production capacities and considers decentralized sector coupling options. As a result, we get a cost-optimized energy system structure as a base for energy system design.
| Author: | Marc Hanfeld, Heiko Driever, Ursel Thomssen |
|---|---|
| DOI: | https://doi.org/10.7148/2021-0227 |
| ISBN: | 978-3-937436-72-2 |
| ISSN: | 2522-2414 |
| Parent Title (English): | Communications of the ECMS |
| Document Type: | Article |
| Language: | English |
| Year of Completion: | 2021 |
| Release Date: | 2024/08/19 |
| Tag: | District Optimization; Energy System Model; Multi Modal Energy System Simulation and Optimization; Open Data; Open Science; Open Source; Sector Coupling; Time Variance |
| Volume: | 35 |
| Issue: | 1 |
| Note: | ECMS International Conference on Modelling and Simulation (ECMS 2021), 31.05-2.06.2021, web-organised conference |
| Institutes: | Fachbereich Wirtschaft |
| Research Focus Areas: | Ressourcenorientierung im Spannungsfeld von Individuum und Gesellschaft (ROSIG) |