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Investigation and multi-objective optimization of vehicle engine-organic Rankine cycle (ORC) combined system in different driving conditions

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  • Ping, Xu
  • Yang, Fubin
  • Zhang, Hongguang
  • Xing, Chengda
  • Yu, Mingzhe
  • Wang, Yan

Abstract

Organic Rankine cycle (ORC) can improve the fuel efficiency of internal combustion (IC) engine. However, the dynamic characteristics of ORC system in driving conditions are not only affected by variable high-temperature waste heat source, but also have strong coupling correlation between operating parameters and performance. Under the superimposed influence, the performance of vehicle engine-ORC combined system has obvious nonlinearity and uncertainty. This paper first constructs a vehicle engine-ORC combined system model for the driving conditions. Based on different driving cycles, the combined system is verified. The influence of ORC system on engine performance in driving conditions is evaluated. The synergetic influence laws of operation parameters in driving conditions is systematically analyzed. Based on vehicle engine-ORC combined system for driving conditions model, simulation model with different coupling units and multi-objective optimization algorithm, this paper proposes an integrated multi-objective optimization framework of combined system with complex driving conditions. The real-time optimization of integrated system performance in driving conditions is realized. The trade-off and uncertainty correlation between combined system performance in driving conditions are analyzed. Finally, the improvement of IC engine performance by ORC system in driving conditions is quantitatively evaluated. The nonlinear optimization framework proposed in this paper can provide a practical solution for the analysis, evaluation and real-time optimization of vehicle engine-ORC combined system performance in driving conditions.

Suggested Citation

  • Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yu, Mingzhe & Wang, Yan, 2023. "Investigation and multi-objective optimization of vehicle engine-organic Rankine cycle (ORC) combined system in different driving conditions," Energy, Elsevier, vol. 263(PB).
  • Handle: RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222025580
    DOI: 10.1016/j.energy.2022.125672
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    as
    1. Zhang, Xuanang & Wang, Xuan & Cai, Jinwen & He, Zhaoxian & Tian, Hua & Shu, Gequn & Shi, Lingfeng, 2022. "Experimental study on operating parameters matching characteristic of the organic Rankine cycle for engine waste heat recovery," Energy, Elsevier, vol. 244(PA).
    2. Jiménez-Arreola, Manuel & Wieland, Christoph & Romagnoli, Alessandro, 2019. "Direct vs indirect evaporation in Organic Rankine Cycle (ORC) systems: A comparison of the dynamic behavior for waste heat recovery of engine exhaust," Applied Energy, Elsevier, vol. 242(C), pages 439-452.
    3. Arslan, Muhammed & Yılmaz, Ceyhun, 2022. "Thermodynamic Optimization and Thermoeconomic Evaluation of Afyon Biogas Plant assisted by organic Rankine Cycle for waste heat recovery," Energy, Elsevier, vol. 248(C).
    4. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Zhang, Wujie & Wang, Yan, 2022. "Evaluation of hybrid forecasting methods for organic Rankine cycle: Unsupervised learning-based outlier removal and partial mutual information-based feature selection," Applied Energy, Elsevier, vol. 311(C).
    5. Yang, Jingye & Gao, Lei & Ye, Zhenhong & Hwang, Yunho & Chen, Jiangping, 2021. "Binary-objective optimization of latest low-GWP alternatives to R245fa for organic Rankine cycle application," Energy, Elsevier, vol. 217(C).
    6. Jin, Yunli & Gao, Naiping & Zhu, Tong, 2022. "Effect of resistive load characteristics on the performance of Organic Rankine cycle (ORC)," Energy, Elsevier, vol. 246(C).
    7. Wang, Enhua & Zhang, Mengru & Meng, Fanxiao & Zhang, Hongguang, 2022. "Zeotropic working fluid selection for an organic Rankine cycle bottoming with a marine engine," Energy, Elsevier, vol. 243(C).
    8. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Wang, Chongyao & Zhang, Wujie & Wang, Yan, 2022. "Energy, economic and environmental dynamic response characteristics of organic Rankine cycle (ORC) system under different driving cycles," Energy, Elsevier, vol. 246(C).
    9. Chen Bei & Hongguang Zhang & Fubin Yang & Songsong Song & Enhua Wang & Hao Liu & Ying Chang & Hongjin Wang & Kai Yang, 2015. "Performance Analysis of an Evaporator for a Diesel Engine–Organic Rankine Cycle (ORC) Combined System and Influence of Pressure Drop on the Diesel Engine Operating Characteristics," Energies, MDPI, vol. 8(6), pages 1-28, June.
    10. Xu, Bin & Rathod, Dhruvang & Yebi, Adamu & Filipi, Zoran & Onori, Simona & Hoffman, Mark, 2019. "A comprehensive review of organic rankine cycle waste heat recovery systems in heavy-duty diesel engine applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 145-170.
    11. Lu, Yiji & Roskilly, Anthony Paul & Yu, Xiaoli & Jiang, Long & Chen, Longfei, 2018. "Technical feasibility study of scroll-type rotary gasoline engine: A compact and efficient small-scale Humphrey cycle engine," Applied Energy, Elsevier, vol. 221(C), pages 67-74.
    12. Ping, Xu & Yao, Baofeng & Zhang, Hongguang & Yang, Fubin, 2021. "Thermodynamic analysis and high-dimensional evolutionary many-objective optimization of dual loop organic Rankine cycle (DORC) for CNG engine waste heat recovery," Energy, Elsevier, vol. 236(C).
    13. Sher, E. & Bar-Kohany, T., 2002. "Optimization of variable valve timing for maximizing performance of an unthrottled SI engine—a theoretical study," Energy, Elsevier, vol. 27(8), pages 757-775.
    14. Zhang, Yuan & Liang, Tianyang & Yang, Ke, 2022. "An integrated energy storage system consisting of Compressed Carbon dioxide energy storage and Organic Rankine Cycle: Exergoeconomic evaluation and multi-objective optimization," Energy, Elsevier, vol. 247(C).
    15. Xu, Bin & Li, Xiaoya, 2021. "A Q-learning based transient power optimization method for organic Rankine cycle waste heat recovery system in heavy duty diesel engine applications," Applied Energy, Elsevier, vol. 286(C).
    16. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Wang, Yan & Lei, Biao & Wu, Yuting, 2022. "Performance limits of the single screw expander in organic Rankine cycle with ensemble learning and hyperdimensional evolutionary many-objective optimization algorithm intervention," Energy, Elsevier, vol. 245(C).
    17. Xie, Hui & Yang, Can, 2013. "Dynamic behavior of Rankine cycle system for waste heat recovery of heavy duty diesel engines under driving cycle," Applied Energy, Elsevier, vol. 112(C), pages 130-141.
    18. Pili, Roberto & Bojer Jørgensen, Søren & Haglind, Fredrik, 2022. "Multi-objective optimization of organic Rankine cycle systems considering their dynamic performance," Energy, Elsevier, vol. 246(C).
    19. Wang, Zhiqi & Hu, Yanhua & Xia, Xiaoxia & Zuo, Qingsong & Zhao, Bin & Li, Zhixiong, 2020. "Thermo-economic selection criteria of working fluid used in dual-loop ORC for engine waste heat recovery by multi-objective optimization," Energy, Elsevier, vol. 197(C).
    20. Li, Xiaoya & Xu, Bin & Tian, Hua & Shu, Gequn, 2021. "Towards a novel holistic design of organic Rankine cycle (ORC) systems operating under heat source fluctuations and intermittency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    21. Dong, Hye-Won & Jeong, Jae-Weon, 2022. "Energy and economic analysis of organic Rankine cycle for liquid desiccant system," Energy, Elsevier, vol. 241(C).
    22. Zinsalo, Joël M. & Lamarche, Louis & Raymond, Jasmin, 2022. "Performance analysis and working fluid selection of an Organic Rankine Cycle Power Plant coupled to an Enhanced Geothermal System," Energy, Elsevier, vol. 245(C).
    23. Yang, Fubin & Cho, Heejin & Zhang, Hongguang & Zhang, Jian, 2017. "Thermoeconomic multi-objective optimization of a dual loop organic Rankine cycle (ORC) for CNG engine waste heat recovery," Applied Energy, Elsevier, vol. 205(C), pages 1100-1118.
    24. Songsong Song & Hongguang Zhang & Rui Zhao & Fanxiao Meng & Hongda Liu & Jingfu Wang & Baofeng Yao, 2017. "Simulation and Performance Analysis of Organic Rankine Systems for Stationary Compressed Natural Gas Engine," Energies, MDPI, vol. 10(4), pages 1-23, April.
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    Cited by:

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    5. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Pan, Yachao & Zhang, Wujie & Wang, Yan, 2023. "Nonlinear modeling and multi-scale influence characteristics analysis of organic Rankine cycle (ORC) system considering variable driving cycles," Energy, Elsevier, vol. 265(C).
    6. Zhuxian Liu & Zhong Wu & Yonghong Xu & Hongguang Zhang & Jian Zhang & Fubin Yang, 2022. "Performance Investigation of Single–Piston Free Piston Expander–Linear Generator with Multi–Parameter Based on Simulation Model," Energies, MDPI, vol. 15(23), pages 1-28, November.
    7. Yan, Yinlian & Yang, Fubin & Zhang, Hongguang & Pan, Yachao & Ping, Xu & Ge, Zhong, 2023. "Study on performance evaluation framework and design/ selection guidelines of working fluids for subcritical organic Rankine cycle from molecular structure perspective," Energy, Elsevier, vol. 282(C).

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