Optimization of Extended CHP Plants with Energy Storages — an Open-Source Approach

Keywords

energy system analysis, optimization, open-source model, oemof, CHP, energy storage

Abstract

An extended CHP system in a characteristic future market situation with a share of 50 % electric energy provided by renewable energy sources is analysed using the open energy modelling framework oemof. Cost-optimal plant configurations are computed based upon assumptions for investments costs and energy prices. The results show that thermal storages are always integrated in the optimum plant layout with little sensitivity to all assumptions. A storage for electrical energy is only considered if sufficiently high price periods occur in the electric energy market. This result is highly sensitive to assumptions regarding storage cost and energy prices. The model is made available open-source for further use.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jakob Wolf
AU  - Christoph Pels Leusden
AU  - Silke Köhler
AU  - Jann Launer
PY  - 2019/11
DA  - 2019/11
TI  - Optimization of Extended CHP Plants with Energy Storages — an Open-Source Approach
BT  - Proceedings of the 13th International Renewable Energy Storage Conference 2019 (IRES 2019)
PB  - Atlantis Press
SP  - 145
EP  - 152
SN  - 2589-4943
UR  - https://www.atlantis-press.com/article/125923327
ID  - Wolf2019/11
ER  -