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Journal article
Enhancing energy autonomy of greenhouses with semi-transparent photovoltaic systems through a comparative study of battery storage systems
Scientific reports, Vol.15(1), 2213
2025
PMID: 39820541
Abstract
Effective energy management is crucial in greenhouse farming to ensure efficient operations and optimal crop growth. This study investigates the energy autonomy—defined as the ratio of on-site energy generation to the total energy demand—of greenhouses equipped with semi-transparent photovoltaic (STPV) systems under two scenarios: with and without a Battery Energy Storage System (BESS). STPV systems are beneficial because they generate energy while still allowing enough light to pass through for healthy plant development. Seasonal variations in energy autonomy during summer and winter were analyzed. Results show that incorporating BESS significantly reduces reliance on grid electricity, with energy autonomy improving from 43.43% to 24.17% in summer and 81.36% to 69.45% in winter. The system’s performance was highly sensitive to the transmittance rate of STPV panels and the minimum Daily Light Integral (DLI) required for crops. These findings highlight the potential of BESS to enhance energy independence and promote sustainable agricultural practices. The study provides insights into optimizing renewable energy systems in greenhouses, emphasizing practical implications for scalability and economic feasibility.
Details
- Title
- Enhancing energy autonomy of greenhouses with semi-transparent photovoltaic systems through a comparative study of battery storage systems
- Authors/Creators
- Mohammadreza Gholami - Final International UniversityAli Arefi - Murdoch University, Centre for Water, Energy and WasteAnwarul Hasan - Qatar UniversityChengdao Li - Murdoch University, Centre for Crop and Food InnovationS. M. Muyeen - Qatar University
- Publication Details
- Scientific reports, Vol.15(1), 2213
- Publisher
- Nature Publishing Group UK
- Number of pages
- 20
- Grant note
- MME04-0607-230060 / Qatar Research, Development and Innovation (QRDI) Council
- Identifiers
- 991005734987007891
- Copyright
- © The Author(s) 2025
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.1651 Greenhouse Optimization
- Web Of Science research areas
- Energy & Fuels
- ESI research areas
- Engineering