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Energy, economic and environmental dynamic response characteristics of organic Rankine cycle (ORC) system under different driving cycles

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  • Ping, Xu
  • Yang, Fubin
  • Zhang, Hongguang
  • Xing, Chengda
  • Wang, Chongyao
  • Zhang, Wujie
  • Wang, Yan

Abstract

Internal combustion (IC) engine as the main power source of vehicle, its energy saving and emission reduction is of great significance to alleviate the energy crisis. Organic Rankine cycle (ORC) system has a good prospect in the field of waste heat recovery of IC engine. However, in the actual operation of the vehicle, the hysteresis time, time-varying and uncertainty of ORC system are more obvious. Moreover, under the influence of the fluctuation of IC engine and the hysteresis time of ORC system, the performance of the system is heavily dependent on the change of operating parameters. This paper firstly constructs four key models of power system, waste heat recovery system, chassis and driving cycle. Then, the driving cycle-based vehicle-ORC combined system model is proposed. From the perspective of thermodynamic performance, economic performance and environmental impact, the dynamic response characteristics of ORC system performance and operating parameters under real driving cycles are systematically evaluated. The performance of ORC system can be improved by 9.25–17.72% with the increase of the large speed gradient. The hysteresis time of ORC system is 16.6–144.3 s. Hysteresis time and performance degradation will become more serious with the superposition of decrease of the large speed gradient, low speed and idle speed. The hysteresis time under the influence of superposition is up to 150.4–295.3 s. There is also a 39.59–62.45% decline in performance. The analysis of dynamic characteristics of ORC system under complex real driving cycles can provide useful guidance for practical engineering application of vehicle ORC system.

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  • 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).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222003413
    DOI: 10.1016/j.energy.2022.123438
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    Cited by:

    1. 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).
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    3. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yang, Anren & Yan, Yinlian & Pan, Yachao & Wang, Yan, 2023. "Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment," Energy, Elsevier, vol. 275(C).
    4. Xu Ping & Baofeng Yao & Hongguang Zhang & Hongzhi Zhang & Jia Liang & Meng Yuan & Kai Niu & Yan Wang, 2022. "Comprehensive Performance Assessment of Dual Loop Organic Rankine Cycle (DORC) for CNG Engine: Energy, Thermoeconomic and Environment," Energies, MDPI, vol. 15(21), pages 1-28, October.
    5. Valentin Morenov & Ekaterina Leusheva & Alexander Lavrik & Anna Lavrik & George Buslaev, 2022. "Gas-Fueled Binary Energy System with Low-Boiling Working Fluid for Enhanced Power Generation," Energies, MDPI, vol. 15(7), pages 1-15, March.
    6. Shi, Yao & Zhang, Zhiming & Chen, Xiaoqiang & Xie, Lei & Liu, Xueqin & Su, Hongye, 2023. "Data-Driven model identification and efficient MPC via quasi-linear parameter varying representation for ORC waste heat recovery system," Energy, Elsevier, vol. 271(C).
    7. Yachao Pan & Fubin Yang & Hongguang Zhang & Yinlian Yan & Anren Yang & Jia Liang & Mingzhe Yu, 2022. "Performance Prediction and Working Fluid Active Design of Organic Rankine Cycle Based on Molecular Structure," Energies, MDPI, vol. 15(21), pages 1-22, November.
    8. 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).
    9. Huo, Da & Zhang, Xiaotao & Meng, Shuang & Wu, Gang & Li, Junhang & Di, Ruoqi, 2022. "Green finance and energy efficiency: Dynamic study of the spatial externality of institutional support in a digital economy by using hidden Markov chain," Energy Economics, Elsevier, vol. 116(C).
    10. Lan, Song & Li, Qingshan & Guo, Xin & Wang, Shukun & Chen, Rui, 2023. "Fuel saving potential analysis of bifunctional vehicular waste heat recovery system using thermoelectric generator and organic Rankine cycle," Energy, Elsevier, vol. 263(PB).
    11. Miao, Zheng & Wang, Zhanbo & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Xu, Jinliang, 2023. "Development of selection criteria of zeotropic mixtures as working fluids for the trans-critical organic Rankine cycle," Energy, Elsevier, vol. 278(PA).
    12. Gu, Zhengzhao & Feng, Kewen & Ge, Lei & Quan, Long, 2023. "Dynamic modeling and optimization of organic Rankine cycle in the waste heat recovery of the hydraulic system," Energy, Elsevier, vol. 263(PB).

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