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Multi-objective optimization of heat exchange network and thermodynamic cycles integrated system for cooling and power cogeneration

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  • Sun, Xiaojing
  • Zhuang, Yu
  • Liu, Linlin
  • Dong, Yachao
  • Zhang, Lei
  • Du, Jian

Abstract

Thermodynamic cycles and heat exchange of process streams are effective waste heat recovery technologies, and their cooperation will make the use of energy more diversely and efficiently. To this end, a novel integrated system including compression-absorption cascade refrigeration system (CACRS), organic Rankine cycle (ORC) and heat exchanger network (HEN) is presented for cooling and power cogeneration and simultaneously performing the heat exchange of process streams. To achieve the optimal design of the integrated system, a thermo-economic multi-objective optimization model is developed for balancing the economic and thermodynamic objectives, along with optimizing the operating conditions and configuration structure simultaneously. Two cases in different application scenarios are studied. Compared with the literature, the economic cost and exergy destroy are reduced by 1.6% and 31.5%, respectively, demonstrating the superiority of the proposed method in improving energy efficiency and reducing energy losses. Furthermore, the conflicting relationship between economic and thermodynamic objectives is verified and the trade-off solution with both favorable economic and thermodynamic performances is determined for both cases. Compared with the optimal solutions with solo objective of economy and exergy, the exergy destroy and economic cost of the trade-off solution for case 1 are decreased by 315 kW and 50,063$/y, and for case 2 the decrease are 750 kW and 112,678 $/y, respectively.

Suggested Citation

  • Sun, Xiaojing & Zhuang, Yu & Liu, Linlin & Dong, Yachao & Zhang, Lei & Du, Jian, 2022. "Multi-objective optimization of heat exchange network and thermodynamic cycles integrated system for cooling and power cogeneration," Applied Energy, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:appene:v:321:y:2022:i:c:s0306261922007103
    DOI: 10.1016/j.apenergy.2022.119366
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    References listed on IDEAS

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    1. Brückner, Sarah & Liu, Selina & Miró, Laia & Radspieler, Michael & Cabeza, Luisa F. & Lävemann, Eberhard, 2015. "Industrial waste heat recovery technologies: An economic analysis of heat transformation technologies," Applied Energy, Elsevier, vol. 151(C), pages 157-167.
    2. Ge, Zhong & Wang, Hua & Wang, Hui-Tao & Wang, Jian-Jun & Li, Ming & Wu, Fu-Zhong & Zhang, Song-Yuan, 2015. "Main parameters optimization of regenerative organic Rankine cycle driven by low-temperature flue gas waste heat," Energy, Elsevier, vol. 93(P2), pages 1886-1895.
    3. Wang, Z.Q. & Zhou, N.J. & Guo, J. & Wang, X.Y., 2012. "Fluid selection and parametric optimization of organic Rankine cycle using low temperature waste heat," Energy, Elsevier, vol. 40(1), pages 107-115.
    4. Aghaziarati, Zeinab & Aghdam, Abolfazl Hajizadeh, 2021. "Thermoeconomic analysis of a novel combined cooling, heating and power system based on solar organic Rankine cycle and cascade refrigeration cycle," Renewable Energy, Elsevier, vol. 164(C), pages 1267-1283.
    5. Yu, Haoshui & Feng, Xiao & Wang, Yufei & Biegler, Lorenz T. & Eason, John, 2016. "A systematic method to customize an efficient organic Rankine cycle (ORC) to recover waste heat in refineries," Applied Energy, Elsevier, vol. 179(C), pages 302-315.
    6. Lin, Shan & Zhao, Li & Deng, Shuai & Zhao, Dongpeng & Wang, Wei & Chen, Mengchao, 2020. "Intelligent collaborative attainment of structure configuration and fluid selection for the Organic Rankine cycle," Applied Energy, Elsevier, vol. 264(C).
    7. van Kleef, Luuk M.T. & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2019. "Multi-objective thermo-economic optimization of organic Rankine cycle (ORC) power systems in waste-heat recovery applications using computer-aided molecular design techniques," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Jain, Vaibhav & Sachdeva, Gulshan & Kachhwaha, S.S., 2015. "Thermodynamic modelling and parametric study of a low temperature vapour compression-absorption system based on modified Gouy-Stodola equation," Energy, Elsevier, vol. 79(C), pages 407-418.
    9. Wang, Bohong & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Zeng, Min & Liang, Yongtu, 2021. "Heat Exchanger Network synthesis considering prohibited and restricted matches," Energy, Elsevier, vol. 225(C).
    10. Jain, Vaibhav & Sachdeva, Gulshan & Kachhwaha, Surendra Singh, 2015. "Energy, exergy, economic and environmental (4E) analyses based comparative performance study and optimization of vapor compression-absorption integrated refrigeration system," Energy, Elsevier, vol. 91(C), pages 816-832.
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