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Energy, exergy, environmental and economic analysis of the parabolic solar collector with life cycle assessment for different climate conditions

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  • Moosavian, Seyed Farhan
  • Borzuei, Daryoosh
  • Ahmadi, Abolfazl

Abstract

The ever-increasing consumption of non-renewable energies, including petroleum and gas, besides a decrease in the fossil fuel reserves, necessitates more attention to clean and renewable energy resources more than ever. In these conditions, solar energy is recognized as one of the most reliable options for producing thermal and electric energy. The development of a numerical model for a parabolic solar collector in MATLAB software was carried out in this research. The effect of climate changes on the energy, exergy, and environmental aspects of these systems was investigated by considering an economic approach. The performance of the parabolic solar collector in terms of the Energy-Exergy-Economic-Environmental (4E) was carried out in 5 cities (Rasht, Shiraz, Tehran, Abadan, and Sanandaj) of Iran as a representative of diverse climate. The results of this investigation indicate that the parabolic solar collectors in Shiraz, which has Mediterranean Climate (Csc), has the highest thermal energy efficiency up to 71.97% among these cities. On the other hand, Sanandaj, with Humid Continental Climate (Dsa), enjoys maximum exergy efficiency (22.01%). From an environmental perspective with respect to the cost of CO2 production, Rasht with a Humid Subtropical Climate (Cfa) has an annual cost of $0.75 based on energy and $0.16 based on exergy.

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  • Moosavian, Seyed Farhan & Borzuei, Daryoosh & Ahmadi, Abolfazl, 2021. "Energy, exergy, environmental and economic analysis of the parabolic solar collector with life cycle assessment for different climate conditions," Renewable Energy, Elsevier, vol. 165(P1), pages 301-320.
    • Handle: RePEc:eee:renene:v:165:y:2021:i:p1:p:301-320
    DOI: 10.1016/j.renene.2020.11.036
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    4. Daryoosh Borzuei & Seyed Farhan Moosavian & Abolfazl Ahmadi, 2022. "Investigating the dependence of energy prices and economic growth rates with emphasis on the development of renewable energy for sustainable development in Iran," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 848-854, October.
    5. Abubaker, Ahmad M. & Darwish Ahmad, Adnan & Salaimeh, Ahmad A. & Akafuah, Nelson K. & Saito, Kozo, 2022. "A novel solar combined cycle integration: An exergy-based optimization using artificial neural network," Renewable Energy, Elsevier, vol. 181(C), pages 914-932.
    6. Forootan, Mohammad Mahdi & Ahmadi, Abolfazl, 2024. "Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf optimization algorithm and ne," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    7. Kashani Lotfabadi, Alireza & Hajinezhad, Ahmad & Kasaeian, Alibakhsh & Moosavian, Seyed Farhan, 2022. "Energetic, economic, environmental and climatic analysis of a solar combisystem for different consumption usages with PSI method ranking," Renewable Energy, Elsevier, vol. 197(C), pages 178-196.
    8. Chen, Heng & Mansir, Ibrahim B. & Chauhan, Bhupendra Singh & Al-Zahrani, Ahmed & Deifalla, Ahmed & Hua, Yinhai & Peng, Fan, 2023. "A comprehensive numerical study on the effectiveness of a rotational-based PTC collector integrated porous foam and PV module," Renewable Energy, Elsevier, vol. 215(C).
    9. Vahidinia, F. & Khorasanizadeh, H. & Aghaei, A., 2023. "Energy, exergy, economic and environmental evaluations of a finned absorber tube parabolic trough collector utilizing hybrid and mono nanofluids and comparison," Renewable Energy, Elsevier, vol. 205(C), pages 185-199.
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