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Title |
Digital twin technologies for solar tracking in agrivoltaics |
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Detail |
Fraunhofer ISE researchers are applying deep learning and digital twin modelling tools to optimize PV tracker control systems for use in farming and biodiversity projects. The goal is to be able to automatically position the modules throughout the day to meet the needs of the plants growing below, in light of the microclimatic conditions, and the need to optimize yield.
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Country | ||||
Source | PV-Magazine | |||
Regions | Africa Asia Australia Europe North America Oceania South America | |||
Sectors | Non-Renewable Energy Solar Photovoltaic PV Energy Technology Hardware and Equipment Construction Energy-Power and Electrical Computer Hardwares and Consumables Petroleum Products | |||
Published Date | 17.06.2024 | |||
Original Url | Original Url | |||
Share |
Title |
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Digital twin technologies for solar tracking in agrivoltaics
|
Detail |
Fraunhofer ISE researchers are applying deep learning and digital twin modelling tools to optimize PV tracker control systems for use in farming and biodiversity projects. The goal is to be able to automatically position the modules throughout the day to meet the needs of the plants growing below, in light of the microclimatic conditions, and the need to optimize yield. |
Country |
International
|
Source |
PV-Magazine |
Regions |
Africa Asia Australia Europe North America Oceania South America |
Sectors |
Non-Renewable Energy Solar Photovoltaic PV Energy Technology Hardware and Equipment Construction Energy-Power and Electrical Computer Hardwares and Consumables Petroleum Products |
Published Date |
17.06.2024 |
Original Url |
Share |
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