Model predictive control of air-based building integrated PV/T systems for optimal HVAC integration
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DOI: 10.1016/j.renene.2023.05.059
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- Luo, Yongqiang & Zhang, Ling & Bozlar, Michael & Liu, Zhongbing & Guo, Hongshan & Meggers, Forrest, 2019. "Active building envelope systems toward renewable and sustainable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 470-491.
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- Rounis, Efstratios Dimitrios & Athienitis, Andreas & Stathopoulos, Theodore, 2021. "Review of air-based PV/T and BIPV/T systems - Performance and modelling," Renewable Energy, Elsevier, vol. 163(C), pages 1729-1753.
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Cited by:
- Qi, Di & Zhang, Kunlun & Zhao, Chuangyao & Li, Ang & Song, Bingye & Li, Angui, 2024. "Optimized model predictive control for solar assisted earth air heat exchanger system in greenhouse," Renewable Energy, Elsevier, vol. 228(C).
- Tang, Lingfeng & Xie, Haipeng & Wang, Yongguan & Xu, Zhanbo, 2025. "Deeply flexible commercial building HVAC system control: A physics-aware deep learning-embedded MPC approach," Applied Energy, Elsevier, vol. 388(C).
- Hu, Zehuan & Gao, Yuan & Sun, Luning & Mae, Masayuki & Imaizumi, Taiji, 2024. "Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty," Applied Energy, Elsevier, vol. 371(C).
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