Böhringer, Marcel ; Kharrat, Achraf ; Hanson, Jutta (2023)
Benefits of Monthly Storage Rates in Shared Storage for Energetic Communities.
In: Electronics, 12 (10)
doi: 10.3390/electronics12102222
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Community energy storages, i.e., central battery storages that take over the self-consumption optimisation of energetic communities, can play a central role in the cellular structure of the energy system. However, if the central storage is only used for optimising households’ self-demand, the use is neither economical nor efficient. Therefore, it is conceivable to use the storage for different applications. This article focused on a monthly storage rate for households in energetic communities. First, different households’ storage capacities were determined to demonstrate the benefits of a monthly adjustment in the shared storage for households and storage operators. The advantages are shown compared to annual storage rates and they can be seen on both sides. Households can increase their degree of self-sufficiency and their self-consumption rate through the monthly storage rates. In addition, the storage operator gains more security through the fixed monthly storage rates and has further opportunities to generate revenue through daily sales. In some months, the results show a secondary use potential of over 82% related to the monthly rate, which is determined by the complete data set and additionally substantiated for two exemplary households. In the second part of the article, the annual and monthly storage rates for different kinds of households were transferred into a multiple linear regression model. The model enables us to determine the monthly and annual storage rates of households on the basis of the annual electricity consumption, the installed photovoltaic power, and the rated power of the electric vehicle charging station as well as the heat pump. The estimated results show small deviations from the calculated results and can be used to simplify the planning of the community energy storage for various districts.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Böhringer, Marcel ; Kharrat, Achraf ; Hanson, Jutta |
| Art des Eintrags: | Bibliographie |
| Titel: | Benefits of Monthly Storage Rates in Shared Storage for Energetic Communities |
| Sprache: | Englisch |
| Publikationsjahr: | 13 Mai 2023 |
| Verlag: | MDPI |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Electronics |
| Jahrgang/Volume einer Zeitschrift: | 12 |
| (Heft-)Nummer: | 10 |
| DOI: | 10.3390/electronics12102222 |
| URL / URN: | https://www.mdpi.com/2079-9292/12/10/2222 |
| Kurzbeschreibung (Abstract): | Community energy storages, i.e., central battery storages that take over the self-consumption optimisation of energetic communities, can play a central role in the cellular structure of the energy system. However, if the central storage is only used for optimising households’ self-demand, the use is neither economical nor efficient. Therefore, it is conceivable to use the storage for different applications. This article focused on a monthly storage rate for households in energetic communities. First, different households’ storage capacities were determined to demonstrate the benefits of a monthly adjustment in the shared storage for households and storage operators. The advantages are shown compared to annual storage rates and they can be seen on both sides. Households can increase their degree of self-sufficiency and their self-consumption rate through the monthly storage rates. In addition, the storage operator gains more security through the fixed monthly storage rates and has further opportunities to generate revenue through daily sales. In some months, the results show a secondary use potential of over 82% related to the monthly rate, which is determined by the complete data set and additionally substantiated for two exemplary households. In the second part of the article, the annual and monthly storage rates for different kinds of households were transferred into a multiple linear regression model. The model enables us to determine the monthly and annual storage rates of households on the basis of the annual electricity consumption, the installed photovoltaic power, and the rated power of the electric vehicle charging station as well as the heat pump. The estimated results show small deviations from the calculated results and can be used to simplify the planning of the community energy storage for various districts. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiesysteme > Elektrische Energieversorgung unter Einsatz Erneuerbarer Energien 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Elektrische Energiesysteme |
| Hinterlegungsdatum: | 27 Jun 2023 07:06 |
| Letzte Änderung: | 27 Jun 2023 07:23 |
| PPN: | 509070388 |
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| Suche nach Titel in: | TUfind oder in Google |
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