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Solar thermal power plants – A review of configurations and performance comparison

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  • Behar, Omar

Abstract

A detailed review and thermal performance comparison of fifteen power generation technologies including fossil, solar and hybrid options has been presented. The modeling of each part of the power plants has been carried out. For the solar field, a detailed modeling that comprises the heat transfer in the receiver tube, optics of the collector and the heat losses from the piping, has been carried out . In order to develop mathematical models for the fifteen power plants, the gas turbine and the steam turbine have been modeled and results were successively validated. Various integration of solar parabolic trough technology into the three reference Power Conversion Cycles (PCSs) including Brayton cycle, Rankine cycle and combined cycle have been considered. Six performance indicators have been used to rank the configurations. Some of these configurations are originally proposed in the present study and important findings are highlighted.

Suggested Citation

  • Behar, Omar, 2018. "Solar thermal power plants – A review of configurations and performance comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 608-627.
    • Handle: RePEc:eee:rensus:v:92:y:2018:i:c:p:608-627
    DOI: 10.1016/j.rser.2018.04.102
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    Cited by:

    1. Ortiz, C. & Valverde, J.M. & Chacartegui, R. & Perez-Maqueda, L.A. & Giménez, P., 2019. "The Calcium-Looping (CaCO3/CaO) process for thermochemical energy storage in Concentrating Solar Power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    2. Zhengyue Zhu & Ruihao Bian & Yajun Deng & Bo Yu & Dongliang Sun, 2023. "Multi-Objective Optimization of Graded Thermal Storage System for Direct Steam Generation with Dish Concentrators," Energies, MDPI, vol. 16(5), pages 1-21, March.
    3. Sadi, M. & Arabkoohsar, A., 2019. "Exergoeconomic analysis of a combined solar-waste driven power plant," Renewable Energy, Elsevier, vol. 141(C), pages 883-893.
    4. Kondaiah, P. & Pitchumani, R., 2023. "Progress and opportunities in corrosion mitigation in heat transfer fluids for next-generation concentrating solar power," Renewable Energy, Elsevier, vol. 205(C), pages 956-991.
    5. Yue Liu & Lixin Tian & Zhuyun Xie & Zaili Zhen & Huaping Sun, 2021. "Option to survive or surrender: carbon asset management and optimization in thermal power enterprises from China," Papers 2104.04729, arXiv.org.
    6. Dimitris Al. Katsaprakakis & Georgios Zidianakis, 2019. "Optimized Dimensioning and Operation Automation for a Solar-Combi System for Indoor Space Heating. A Case Study for a School Building in Crete," Energies, MDPI, vol. 12(1), pages 1-21, January.
    7. Abbas, Zulkarnain & Yong, Li & Abbas, Saqlain & Chen, Dongwen & Li, Y. & Wang, R.Z., 2021. "Performance analysis of seasonal soil heat storage system based on numerical simulation and experimental investigation," Renewable Energy, Elsevier, vol. 178(C), pages 66-78.
    8. Qimei Chen & Yan Wang & Jianhan Zhang & Zhifeng Wang, 2020. "The Knowledge Mapping of Concentrating Solar Power Development Based on Literature Analysis Technology," Energies, MDPI, vol. 13(8), pages 1-15, April.
    9. Chen, Heng & Xue, Kai & Wu, Yunyun & Xu, Gang & Jin, Xin & Liu, Wenyi, 2021. "Thermodynamic and economic analyses of a solar-aided biomass-fired combined heat and power system," Energy, Elsevier, vol. 214(C).
    10. Hu, Mingke & Zhao, Bin & Suhendri, & Ao, Xianze & Cao, Jingyu & Wang, Qiliang & Riffat, Saffa & Su, Yuehong & Pei, Gang, 2022. "Applications of radiative sky cooling in solar energy systems: Progress, challenges, and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    11. Al-Farsi, Raiyan & Hayyan, Maan, 2023. "Paving the way for advancement of renewable energy technologies using deep eutectic solvents: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    12. Yang, S., 2022. "Solar-driven liquid air power plant modeling, design space exploration, and multi-objective optimization," Energy, Elsevier, vol. 246(C).

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