Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation
Abstract This study aims to develop an optimization strategy for determining the optimal type and capacity of batteries in a building‐applied photovoltaic system, taking into account battery degradation, consumption profiles, and regional solar irradiation. Key performance indicators such as peak sh...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12894 |
| _version_ | 1797368279661019136 |
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| author | Mahdi Dolatabadi Seyedreza Seyednouri Albin Hasselström Amin Safari Meisam Farrokhifar |
| author_facet | Mahdi Dolatabadi Seyedreza Seyednouri Albin Hasselström Amin Safari Meisam Farrokhifar |
| author_sort | Mahdi Dolatabadi |
| collection | DOAJ |
| description | Abstract This study aims to develop an optimization strategy for determining the optimal type and capacity of batteries in a building‐applied photovoltaic system, taking into account battery degradation, consumption profiles, and regional solar irradiation. Key performance indicators such as peak shaving, savings, net present value, self‐consumption, return on investment, and payback period are examined. The best trade‐off among these indicators is determined using the fuzzy decision‐making method. A study was conducted using real data from Kpenergy Company, focusing on a building with a 50 kW photovoltaic system located in Stockholm. Three cases were examined in MATLAB software, each categorized based on the type of contract between the utility (Vattenfall Company) and the subscriber. The results of these case studies highlight the effectiveness of the proposed optimization approach. Using the proposed approach, optimal batteries are determined, minimizing subscriber costs while maximizing profit. |
| first_indexed | 2024-03-08T17:30:17Z |
| format | Article |
| id | doaj.art-00b04004f1d547d99c8daf6a4ce68c90 |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-03-08T17:30:17Z |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-00b04004f1d547d99c8daf6a4ce68c902024-01-02T16:05:09ZengWileyIET Renewable Power Generation1752-14161752-14242024-01-01181304710.1049/rpg2.12894Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradationMahdi Dolatabadi0Seyedreza Seyednouri1Albin Hasselström2Amin Safari3Meisam Farrokhifar4School of Technology and Business Studies, Energy and Environmental Technology Dalarna University Borlänge SwedenDepartment of Electrical Engineering Azarbaijan Shahid Madani University Tabriz IranDepartment of Product and Procurement KP Sverige AB Västerås SwedenDepartment of Electrical Engineering Azarbaijan Shahid Madani University Tabriz IranDepartment of the Built Environment Eindhoven University of Technology Eindhoven The NetherlandsAbstract This study aims to develop an optimization strategy for determining the optimal type and capacity of batteries in a building‐applied photovoltaic system, taking into account battery degradation, consumption profiles, and regional solar irradiation. Key performance indicators such as peak shaving, savings, net present value, self‐consumption, return on investment, and payback period are examined. The best trade‐off among these indicators is determined using the fuzzy decision‐making method. A study was conducted using real data from Kpenergy Company, focusing on a building with a 50 kW photovoltaic system located in Stockholm. Three cases were examined in MATLAB software, each categorized based on the type of contract between the utility (Vattenfall Company) and the subscriber. The results of these case studies highlight the effectiveness of the proposed optimization approach. Using the proposed approach, optimal batteries are determined, minimizing subscriber costs while maximizing profit.https://doi.org/10.1049/rpg2.12894energy storageoptimisationphotovoltaic power systems |
| spellingShingle | Mahdi Dolatabadi Seyedreza Seyednouri Albin Hasselström Amin Safari Meisam Farrokhifar Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation IET Renewable Power Generation energy storage optimisation photovoltaic power systems |
| title | Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation |
| title_full | Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation |
| title_fullStr | Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation |
| title_full_unstemmed | Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation |
| title_short | Energy storage device sizing and energy management in building‐applied photovoltaic systems considering battery degradation |
| title_sort | energy storage device sizing and energy management in building applied photovoltaic systems considering battery degradation |
| topic | energy storage optimisation photovoltaic power systems |
| url | https://doi.org/10.1049/rpg2.12894 |
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