Passive and active phase change materials integrated building energy systems with advanced machine-learning based climate-adaptive designs, intelligent operations, uncertainty-based analysis and optimisations: A state-of-the-art review
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DOI: 10.1016/j.rser.2020.109889
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- Facundo Bre & Antonio Caggiano & Eduardus A. B. Koenders, 2022. "Multiobjective Optimization of Cement-Based Panels Enhanced with Microencapsulated Phase Change Materials for Building Energy Applications," Energies, MDPI, vol. 15(14), pages 1-17, July.
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- Leland Weiss & Ramanshu Jha, 2023. "Small-Scale Phase Change Materials in Low-Temperature Applications: A Review," Energies, MDPI, vol. 16(6), pages 1-24, March.
- Zhou, Yuekuan, 2022. "Demand response flexibility with synergies on passive PCM walls, BIPVs, and active air-conditioning system in a subtropical climate," Renewable Energy, Elsevier, vol. 199(C), pages 204-225.
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- Hana Charvátová & Aleš Procházka & Martin Zálešák, 2020. "Computer Simulation of Passive Cooling of Wooden House Covered by Phase Change Material," Energies, MDPI, vol. 13(22), pages 1-15, November.
- Mukhamet, Tileuzhan & Kobeyev, Sultan & Nadeem, Abid & Memon, Shazim Ali, 2021. "Ranking PCMs for building façade applications using multi-criteria decision-making tools combined with energy simulations," Energy, Elsevier, vol. 215(PB).
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- Qin, Di & Liu, Zhengxuan & Zhou, Yuekuan & Yan, Zhongjun & Chen, Dachuan & Zhang, Guoqiang, 2021. "Dynamic performance of a novel air-soil heat exchanger coupling with diversified energy storage components—modelling development, experimental verification, parametrical design and robust operation," Renewable Energy, Elsevier, vol. 167(C), pages 542-557.
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Keywords
Phase change materials (PCMs); Combined active and passive energy systems; Exhaust heat recovery; Stochastic uncertainty-based prediction; Multivariable and multi-objective optimisations; Machine learning;All these keywords.
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