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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
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Authors: |
Heiko Driever,
Ursel Thomssen, Marc Hanfeld |
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Published in:
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(2021). ECMS 2021,
35th Proceedings DOI: http://doi.org/10.7148/2021 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-72-2 Communications of the ECMS , Volume 35, Issue 1, June 2021, United Kingdom |
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Citation
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Heiko Driever, Ursel
Thomssen, Marc Hanfeld (2021).
Planning Of Sustainable Energy Systems For Residential Areas Using An Open
Source Optimization Tool And Open Data Ressources, ECMS 2021 Proceedings Edited By: Khalid Al-Begain, Mauro Iacono, Lelio Campanile, Andrzej Bargiela European Council for Modeling and Simulation. doi: 10.7148/2021-0227 |
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DOI: |
https://doi.org/10.7148/2021-0227 |
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Abstract: |
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. |
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