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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.

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Metadaten
Author:Heiko Driever, Ursel Thomssen, Marc Hanfeld
DOI:https://doi.org/10.7148/2021
ISBN:978-3-937436-72-2
ISSN:2522-2422
Parent Title (English):35th International Conference on Modelling and Simulation (ECMS 2021), 31.05.-02.06.2021, virtual
Document Type:Conference Proceeding
Language:English
Year of Completion:2021
Release Date:2025/03/11
Pagenumber:8
Institute:Fachbereich Wirtschaft
Research Focus Area:Ressourcenorientierung im Spannungsfeld von Individuum und Gesellschaft (ROSIG)