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Comprehensive assumption-free dynamic simulation of an organic Rankine cycle using moving-boundary method

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  • Raheli Kaleibar, Mojtaba
  • Khoshbakhti Saray, Rahim
  • Pourgol, Mohammad

Abstract

This study implements a comprehensive dynamic simulation using a moving-boundary method to characterize an organic Rankine cycle under assumption-free operating conditions. The novelty of the model lies in its unique methodology for determining the state vector variables and initial conditions of the system, particularly in integrating sub-models, notably the model of liquid receiver. Consequently, the implemented dynamic model accurately forecasts the system's performance, focusing solely on the boundary conditions. A comprehensive dynamic model is constructed, encompassing a wide range of scenarios and facilitating the interchangeability of models as required. One notable advantage of the model is its systematic approach, which begins each simulation by determining the system's initial conditions before conducting the dynamic model in parametric and dynamic studies. The capability and accuracy of model is confirmed through comparison with experimental data under various steady-state and dynamic conditions, while adhering to the main rules of mass and energy conservation. The prediction accuracy of the model is evaluated by mean absolute percent error. According to the results, the maximum deviations of simulation results mostly are less than 11 %.

Suggested Citation

  • Raheli Kaleibar, Mojtaba & Khoshbakhti Saray, Rahim & Pourgol, Mohammad, 2024. "Comprehensive assumption-free dynamic simulation of an organic Rankine cycle using moving-boundary method," Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224023582
    DOI: 10.1016/j.energy.2024.132584
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    References listed on IDEAS

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    1. Dickes, Rémi & Dumont, Olivier & Guillaume, Ludovic & Quoilin, Sylvain & Lemort, Vincent, 2018. "Charge-sensitive modelling of organic Rankine cycle power systems for off-design performance simulation," Applied Energy, Elsevier, vol. 212(C), pages 1262-1281.
    2. Huster, Wolfgang R. & Vaupel, Yannic & Mhamdi, Adel & Mitsos, Alexander, 2018. "Validated dynamic model of an organic Rankine cycle (ORC) for waste heat recovery in a diesel truck," Energy, Elsevier, vol. 151(C), pages 647-661.
    3. Cai, Jinwen & Shu, Gequn & Tian, Hua & Wang, Xuan & Wang, Rui & Shi, Xiaolei, 2020. "Validation and analysis of organic Rankine cycle dynamic model using zeotropic mixture," Energy, Elsevier, vol. 197(C).
    4. Dickes, Rémi & Dumont, Olivier & Daccord, Rémi & Quoilin, Sylvain & Lemort, Vincent, 2017. "Modelling of organic Rankine cycle power systems in off-design conditions: An experimentally-validated comparative study," Energy, Elsevier, vol. 123(C), pages 710-727.
    5. Wang, Xuan & Shu, Gequn & Tian, Hua & Liu, Peng & Jing, Dongzhan & Li, Xiaoya, 2018. "The effects of design parameters on the dynamic behavior of organic ranking cycle for the engine waste heat recovery," Energy, Elsevier, vol. 147(C), pages 440-450.
    6. Tchanche, Bertrand F. & Lambrinos, Gr. & Frangoudakis, A. & Papadakis, G., 2011. "Low-grade heat conversion into power using organic Rankine cycles – A review of various applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3963-3979.
    7. Oh, Jinwoo & Jeong, Hoyoung & Lee, Hoseong, 2021. "Experimental and numerical analysis on low-temperature off-design organic Rankine cycle in perspective of mass conservation," Energy, Elsevier, vol. 234(C).
    8. Miao, Zheng & Yan, Peiwei & Xiao, Meng & Zhang, Manzheng & Xu, Jinliang, 2023. "Comparative study on operating strategies of the organic Rankine cycle under transient heat source," Energy, Elsevier, vol. 285(C).
    9. Adriano Desideri & Bertrand Dechesne & Jorrit Wronski & Martijn Van den Broek & Sergei Gusev & Vincent Lemort & Sylvain Quoilin, 2016. "Comparison of Moving Boundary and Finite-Volume Heat Exchanger Models in the Modelica Language," Energies, MDPI, vol. 9(5), pages 1-18, May.
    10. Imran, Muhammad & Pili, Roberto & Usman, Muhammad & Haglind, Fredrik, 2020. "Dynamic modeling and control strategies of organic Rankine cycle systems: Methods and challenges," Applied Energy, Elsevier, vol. 276(C).
    11. Vaupel, Yannic & Huster, Wolfgang R. & Holtorf, Flemming & Mhamdi, Adel & Mitsos, Alexander, 2019. "Analysis and improvement of dynamic heat exchanger models for nominal and start-up operation," Energy, Elsevier, vol. 169(C), pages 1191-1201.
    12. Zhai, Huixing & An, Qingsong & Shi, Lin & Lemort, Vincent & Quoilin, Sylvain, 2016. "Categorization and analysis of heat sources for organic Rankine cycle systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 790-805.
    13. Yousefzadeh, Moslem & Uzgoren, Eray, 2015. "Mass-conserving dynamic organic Rankine cycle model to investigate the link between mass distribution and system state," Energy, Elsevier, vol. 93(P1), pages 1128-1139.
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