You can manage bookmarks using lists, please log in to your user account for this.
Media type:
E-Article
Title:
Time series aggregation for energy system design: review and extension of modelling seasonal storages
Contributor:
Blanke, Tobias;
Schmidt, Katharina S.;
Göttsche, Joachim;
Döring, Bernd;
Frisch, Jérôme;
van Treeck, Christoph
imprint:
Springer Science and Business Media LLC, 2022
Published in:Energy Informatics
Language:
English
DOI:
10.1186/s42162-022-00208-5
ISSN:
2520-8942
Origination:
Footnote:
Description:
<jats:title>Abstract</jats:title><jats:p>Using optimization to design a renewable energy system has become a computationally demanding task as the high temporal fluctuations of demand and supply arise within the considered time series. The aggregation of typical operation periods has become a popular method to reduce effort. These operation periods are modelled independently and cannot interact in most cases. Consequently, seasonal storage is not reproducible. This inability can lead to a significant error, especially for energy systems with a high share of fluctuating renewable energy. The previous paper, “Time series aggregation for energy system design: Modeling seasonal storage”, has developed a seasonal storage model to address this issue. Simultaneously, the paper “Optimal design of multi-energy systems with seasonal storage” has developed a different approach. This paper aims to review these models and extend the first model. The extension is a mathematical reformulation to decrease the number of variables and constraints. Furthermore, it aims to reduce the calculation time while achieving the same results.</jats:p>