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Multi-objective optimization of organic Rankine cycle systems considering their dynamic performance

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  • Pili, Roberto
  • Bojer Jørgensen, Søren
  • Haglind, Fredrik

Abstract

The Organic Rankine cycle system is a well-established technology for converting the waste heat from internal combustion engines into mechanical or electrical power. For a vehicle, due to the engine load changes during the driving cycle, the mass flow rate and temperature of the waste heat fluctuate rapidly over a broad range. This poses high requirements to the control of the organic Rankine cycle unit, in order to ensure safety, high efficiency, system compactness and long component lifetime. This paper presents a novel design method for organic Rankine cycle systems subject to highly fluctuating heat sources, ensuring safe and efficient operation. An integral optimization code developed in MATLAB®/Simulink® combining the design of the thermodynamic cycle, the system evaporator and the control system with a dynamic simulation model is presented. The multi-objective optimization maximizes the organic Rankine cycle net power output over a driving cycle of a heavy-duty truck, while minimizing the mass of the evaporator. The results indicate that, in order to ensure safe operation, the degree of superheating of the working fluid as well as the exhaust gas temperature leaving the evaporator at design conditions should be higher than what classical steady-state thermodynamic analyses suggest.

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  • 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).
    • Handle: RePEc:eee:energy:v:246:y:2022:i:c:s0360544222002481
    DOI: 10.1016/j.energy.2022.123345
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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).
    2. Wang, Enhua & Mao, Jingwen & Zhang, Bo & Wang, Yongzhen, 2023. "On the CAMD method based on PC-SAFT for working fluid design of a high-temperature organic Rankine cycle," Energy, Elsevier, vol. 263(PD).
    3. Witanowski, Łukasz & Ziółkowski, Paweł & Klonowicz, Piotr & Lampart, Piotr, 2023. "A hybrid approach to optimization of radial inflow turbine with principal component analysis," Energy, Elsevier, vol. 272(C).
    4. 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).
    5. Davide Di Battista & Roberto Cipollone, 2023. "Waste Energy Recovery and Valorization in Internal Combustion Engines for Transportation," Energies, MDPI, vol. 16(8), pages 1-28, April.
    6. Zhou, Jianzhao & Chu, Yin Ting & Ren, Jingzheng & Shen, Weifeng & He, Chang, 2023. "Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined systems," Energy, Elsevier, vol. 281(C).
    7. Witanowski, Łukasz & Klonowicz, Piotr & Lampart, Piotr & Ziółkowski, Paweł, 2023. "Multi-objective optimization of the ORC axial turbine for a waste heat recovery system working in two modes: cogeneration and condensation," Energy, Elsevier, vol. 264(C).
    8. 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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