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Energy-Exergy–Economic (3E) -Optimization Analysis of a Solar System for Cooling, Heating, Power, and Freshwater Generation System for a Case Study Using Artificial Intelligence (AI)

Author

Listed:
  • Mohammad Reza Assari

    (Mechanical Engineering Department, Jundi-Shapur University of Technology, Dezful 64615-334, Iran
    Department of Mechanical Engineering, Faculty of Engineering, Alzahra University, Tehran 19938-93973, Iran
    These authors contributed equally to this work.)

  • Ehsanolah Assareh

    (Department of Mechanical Engineering, Dezful Branch, Islamic Azad University, Dezful 313, Iran
    School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
    These authors contributed equally to this work.)

  • Neha Agarwal

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea
    These authors contributed equally to this work.)

  • Milad Setareh

    (Mechanical Engineering Department, Jundi-Shapur University of Technology, Dezful 64615-334, Iran)

  • Nazanin Alaei

    (Mechanical Engineering Department, Jundi-Shapur University of Technology, Dezful 64615-334, Iran
    These authors contributed equally to this work.)

  • Ali Moradian

    (Mechanical Engineering Department, Jundi-Shapur University of Technology, Dezful 64615-334, Iran)

  • Moonyong Lee

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea)

Abstract

In this research, analysis of a cogeneration system harnessing solar energy with the purpose of producing electricity and freshwater is carried out. A parabolic trough collector (PTC), a reverse osmosis (RO) desalination system and a steam Rankine cycle are considered as the primary modules of the system. Optimization is conducted on the basis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II), while the Engineering Equation Solver (EES) is used to cope with the presented thermodynamic model. Sensitivity analysis of different key parameters including pump and turbine efficiencies, pump and turbine inlet pressures, evaporator pinch point and inlet temperature and, finally, solar radiation are calculated. A location with high solar energy potential is selected to explore the feasibility of installing the designed system. The case study results show that the maximum level of freshwater production happens during June and July due to an increased sunlight and ambient temperature. Annual electricity and distilled water production of 260,847.6586 MW and 73,821.34 m 3 are calculated, respectively. Furthermore, the optimum results regarding the cost rate and exergy efficiency were found to be 35.26 $/h and 12.02%, respectively.

Suggested Citation

  • Mohammad Reza Assari & Ehsanolah Assareh & Neha Agarwal & Milad Setareh & Nazanin Alaei & Ali Moradian & Moonyong Lee, 2023. "Energy-Exergy–Economic (3E) -Optimization Analysis of a Solar System for Cooling, Heating, Power, and Freshwater Generation System for a Case Study Using Artificial Intelligence (AI)," Energies, MDPI, vol. 16(13), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:13:p:4873-:d:1176931
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    References listed on IDEAS

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    1. López, Juan Camilo & Escobar, Alejandro & Cárdenas, Daniel Alejandro & Restrepo, Álvaro, 2021. "Parabolic trough or linear fresnel solar collectors? An exergy comparison of a solar-assisted sugarcane cogeneration power plant," Renewable Energy, Elsevier, vol. 165(P1), pages 139-150.
    2. Qureshy, Ali M.M.I. & Dincer, Ibrahim, 2020. "Energy and exergy analyses of an integrated renewable energy system for hydrogen production," Energy, Elsevier, vol. 204(C).
    3. Behzadi, Amirmohammad & Habibollahzade, Ali & Ahmadi, Pouria & Gholamian, Ehsan & Houshfar, Ehsan, 2019. "Multi-objective design optimization of a solar based system for electricity, cooling, and hydrogen production," Energy, Elsevier, vol. 169(C), pages 696-709.
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