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A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design

Author

Listed:
  • Shuozhuo Hu

    (Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China)

  • Zhen Yang

    (Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China)

  • Jian Li

    (Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China)

  • Yuanyuan Duan

    (Key Laboratory for Thermal Science and Power Engineering of MOE, Key Laboratory for CO 2 , Utilization and Reduction Technology, Tsinghua University, Beijing 100084, China)

Abstract

Organic Rankine cycle (ORC) is considered a promising heat-to-power technology to utilize waste heat and renewable energy, including solar, biomass and geothermal. However, since the thermodynamic, economic and environmental performance is usually conflict, the single objective design could no longer meet the requirements of the ORC system, putting forward urgent requirements for multi-objective optimization, which has attracted increasing attention with lots of papers published. However, due to these different decision variables, optimization objectives and approaches, existing research is significantly different from each other and is difficult to compare without a systematic summary. Therefore, this paper provides an overview of ORC multi-objective research from three perspectives: optimization objective, method and optimization parameters. Based on the classification of different objectives, this work summarizes the involved variables and provides a recommendation for selecting appropriate objectives in different scenarios. For the optimization method, this work compares different approaches and reveals their advantages and disadvantages. Finally, the decision variables are reviewed and classified into four levels. Then the integrated design approach considering “system-process-component-fluid” is proposed and recommended for further development.

Suggested Citation

  • Shuozhuo Hu & Zhen Yang & Jian Li & Yuanyuan Duan, 2021. "A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design," Energies, MDPI, vol. 14(20), pages 1-36, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6492-:d:653195
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    6. Wanming Pan & Junkang Li & Guotao Zhang & Le Zhou & Ming Tu, 2022. "Multi-Objective Optimization of Organic Rankine Cycle (ORC) for Tractor Waste Heat Recovery Based on Particle Swarm Optimization," Energies, MDPI, vol. 15(18), pages 1-24, September.
    7. Enhua Wang & Ningjian Peng, 2023. "A Review on the Preliminary Design of Axial and Radial Turbines for Small-Scale Organic Rankine Cycle," Energies, MDPI, vol. 16(8), pages 1-20, April.
    8. Xia, Xiaoxia & Liu, Zhipeng & Wang, Zhiqi & Sun, Tong & Zhang, Hualong & Zhang, Sifeng, 2023. "Thermo-economic-environmental optimization design of dual-loop organic Rankine cycle under fluctuating heat source temperature," Energy, Elsevier, vol. 264(C).
    9. Dokl, Monika & Gomilšek, Rok & Čuček, Lidija & Abikoye, Ben & Kravanja, Zdravko, 2022. "Maximizing the power output and net present value of organic Rankine cycle: Application to aluminium industry," Energy, Elsevier, vol. 239(PE).

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