| Autor: |
Tobias Blanke, Katharina S. Schmidt, Joachim Göttsche, Bernd Döring, Jérôme Frisch, Christoph van Treeck |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Energy Informatics, Vol 5, Iss S1, Pp 1-14 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2520-8942 |
| DOI: |
10.1186/s42162-022-00208-5 |
| Popis: |
Abstract 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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