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Time series aggregation for energy system design: review and extension of modelling seasonal storages

  • 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.

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Metadaten
Author:Tobias BlankeORCiD, Katharina S. Schmidt, Joachim GöttscheORCiD, Bernd Döring, Jérôme Frisch, Christoph van Treeck
DOI:https://doi.org/10.1186/s42162-022-00208-5
ISSN:2520-8942
Parent Title (English):Energy Informatics
Publisher:Springer Nature
Editor:Anke Weidlich, Dirk Neumann, Gunther Gust, Philipp Staudt, Mirko Schäfer
Document Type:Conference Proceeding
Language:English
Year of Completion:2022
Date of the Publication (Server):2023/04/20
Tag:Energy system; Mixed integer linear programming (MILP); Renewable energy; Time-series aggregation; Typical periods
Volume:5
Issue:1, Article number: 17
Length:14 Seiten
Note:
11th DACH+ Conference on Energy Informatics, 15-16 September 2022, Freiburg, Germany
Link:https://doi.org/10.1186/s42162-022-00208-5
Zugriffsart:weltweit
Institutes:FH Aachen / Fachbereich Bauingenieurwesen
FH Aachen / Fachbereich Energietechnik
FH Aachen / Solar-Institut Jülich
open_access (DINI-Set):open_access
collections:Verlag / Springer Nature
Open Access / Gold
Licence (German): Creative Commons - Namensnennung