Modeling of a CPV/T-ORC Combined System Adopted for an Industrial User
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- Jakhar, Sanjeev & Soni, M.S. & Gakkhar, Nikhil, 2016. "Historical and recent development of concentrating photovoltaic cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 41-59.
- Sharaf, Omar Z. & Orhan, Mehmet F., 2015. "Concentrated photovoltaic thermal (CPVT) solar collector systems: Part I – Fundamentals, design considerations and current technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1500-1565.
- Carlo Renno, 2018. "Experimental and Theoretical Analysis of a Linear Focus CPV/T System for Cogeneration Purposes," Energies, MDPI, vol. 11(11), pages 1-15, October.
- Chen, S.X. & Gooi, H.B. & Wang, M.Q., 2013. "Solar radiation forecast based on fuzzy logic and neural networks," Renewable Energy, Elsevier, vol. 60(C), pages 195-201.
- Al-Nimr, Moh’d A. & Bukhari, Mohammad & Mansour, Mansour, 2017. "A combined CPV/T and ORC solar power generation system integrated with geothermal cooling and electrolyser/fuel cell storage unit," Energy, Elsevier, vol. 133(C), pages 513-524.
- Carlo Renno, 2020. "Theoretical and Experimental Evaluation of the Working Fluid Temperature Levels in a CPV/T System," Energies, MDPI, vol. 13(12), pages 1-17, June.
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Cited by:
- Khouya, Ahmed, 2022. "Performance analysis and optimization of a trilateral organic Rankine powered by a concentrated photovoltaic thermal system," Energy, Elsevier, vol. 247(C).
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Keywords
concentrating photovoltaic and thermal system; line-focus configuration; organic rankine cycle; industrial application;All these keywords.
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