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Multi-objective design optimization of a solar based system for electricity, cooling, and hydrogen production

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  • Behzadi, Amirmohammad
  • Habibollahzade, Ali
  • Ahmadi, Pouria
  • Gholamian, Ehsan
  • Houshfar, Ehsan

Abstract

In this research paper, a novel solar-based integrated energy system with a thermoelectric generator (TEG) is proposed to provide cooling and hydrogen production. The energy integration is performed by establishing a TEG unit instead of the condenser of the double effect LiBr-H2O absorption cooling system. The proposed system is comprehensively investigated and compared with the conventional cogeneration system from energy, exergy, and exergoeconomic point of view. To enhance the understanding of the effect of major design parameters on system exergy efficiency, net output work, total cost rate and hydrogen production, a comprehensive parametric study is carried out. In addition, using a developed MATLAB code, multi-objective optimization method based on genetic algorithm is applied to optimize the proposed model and determine the optimal design parameters. The results of exergy and exergoeconomic analysis show that PVT has the highest exergy destruction rate and the cooling set has the lowest exergoeconomic factor. Results of the parametric study indicate that the proposed system with TEG has higher exergy efficiency, higher hydrogen production rate, lower total cost rate, and lower pay back period. Multi-objective optimization results show that, at the optimum point, exergy efficiency and total cost rate of the proposed system are 12.01% and 0.1762 $/h, respectively. Examining scatter distribution, further shows that the high-pressure generator temperature and PV module area are the most sensitive parameters and should be kept at their lowest value. Higher performance indicators and lower economic indicants reveal that the proposed integration method is more suitable from the exergy/exergoeconomic standpoints.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:169:y:2019:i:c:p:696-709
    DOI: 10.1016/j.energy.2018.12.047
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    9. Saeed Esfandi & Simin Baloochzadeh & Mohammad Asayesh & Mehdi Ali Ehyaei & Abolfazl Ahmadi & Amir Arsalan Rabanian & Biplab Das & Vitor A. F. Costa & Afshin Davarpanah, 2020. "Energy, Exergy, Economic, and Exergoenvironmental Analyses of a Novel Hybrid System to Produce Electricity, Cooling, and Syngas," Energies, MDPI, vol. 13(23), pages 1-27, December.
    10. Ma, Ting & Qu, Zuoming & Yu, Xingfei & Lu, Xing & Chen, Yitung & Wang, Qiuwang, 2019. "Numerical study and optimization of thermoelectric-hydraulic performance of a novel thermoelectric generator integrated recuperator," Energy, Elsevier, vol. 174(C), pages 1176-1187.
    11. Dezhdar, Ali & Assareh, Ehsanolah & Agarwal, Neha & bedakhanian, Ali & Keykhah, Sajjad & fard, Ghazaleh yeganeh & zadsar, Narjes & Aghajari, Mona & Lee, Moonyong, 2023. "Transient optimization of a new solar-wind multi-generation system for hydrogen production, desalination, clean electricity, heating, cooling, and energy storage using TRNSYS," Renewable Energy, Elsevier, vol. 208(C), pages 512-537.
    12. Xiong, Kang & Hu, Weihao & Cao, Di & Li, Sichen & Zhang, Guozhou & Liu, Wen & Huang, Qi & Chen, Zhe, 2023. "Coordinated energy management strategy for multi-energy hub with thermo-electrochemical effect based power-to-ammonia: A multi-agent deep reinforcement learning enabled approach," Renewable Energy, Elsevier, vol. 214(C), pages 216-232.
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    14. Sattari Sadat, Seyed Mohammad & Ghaebi, Hadi & Lavasani, Arash Mirabdolah, 2020. "4E analyses of an innovative polygeneration system based on SOFC," Renewable Energy, Elsevier, vol. 156(C), pages 986-1007.
    15. Behzadi, Amirmohammad & Arabkoohsar, Ahmad, 2020. "Feasibility study of a smart building energy system comprising solar PV/T panels and a heat storage unit," Energy, Elsevier, vol. 210(C).
    16. 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.
    17. Tang, Sanli & Hong, Hui & Jin, Hongguang & Xuan, Yimin, 2019. "A cascading solar hybrid system for co-producing electricity and solar syngas with nanofluid spectrum selector," Applied Energy, Elsevier, vol. 248(C), pages 231-240.

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