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Dynamic simulation model with virtual interfaces of supercritical working fluid heat exchanger based on moving boundary method

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  • Ma, Xiaofeng
  • Jiang, Peixue
  • Zhu, Yinhai

Abstract

The supercritical cycle has a better variable-temperature match between the working fluid and heat source, potentially providing higher efficiency. Accurate simulation of the transient performance of supercritical heat exchangers is significant in advanced thermal system control. This paper proposes a dynamic model of supercritical heat exchangers based on the moving boundary method. The model redefines the concept of “interface” in the traditional moving boundary model. The new interfaces are determined by the thermophysical properties of the working fluid, called “virtual interfaces”. A control-volume separation method is proposed based on the virtual interface. Additionally, the specific enthalpy is selected as the switching criterion for the configuration of the control volumes, so the model can dynamically adjust the number of control volumes. The integrity check results show that the simulation accuracy is at least equivalent to the finite volume model with 20 control volumes; however, the time cost is approximately 1/5 of that of the finite volume model with the same precision. An experimental study on the convective heat transfer of supercritical n-decane in an electrically heated vertical tube was conducted. The maximum absolute error of the steady-state outlet temperature is ±1.5 K, and the relative error is ±3% under different pressures.

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  • Ma, Xiaofeng & Jiang, Peixue & Zhu, Yinhai, 2022. "Dynamic simulation model with virtual interfaces of supercritical working fluid heat exchanger based on moving boundary method," Energy, Elsevier, vol. 254(PB).
  • Handle: RePEc:eee:energy:v:254:y:2022:i:pb:s0360544222012373
    DOI: 10.1016/j.energy.2022.124334
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    1. Ni, Jiaxin & Zhao, Li & Zhang, Zhengtao & Zhang, Ying & Zhang, Jianyuan & Deng, Shuai & Ma, Minglu, 2018. "Dynamic performance investigation of organic Rankine cycle driven by solar energy under cloudy condition," Energy, Elsevier, vol. 147(C), pages 122-141.
    2. Zhang, Jianhua & Zhou, Yeli & Wang, Rui & Xu, Jinliang & Fang, Fang, 2014. "Modeling and constrained multivariable predictive control for ORC (Organic Rankine Cycle) based waste heat energy conversion systems," Energy, Elsevier, vol. 66(C), pages 128-138.
    3. 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.
    4. Shu, Gequn & Wang, Xuan & Tian, Hua & Liu, Peng & Jing, Dongzhan & Li, Xiaoya, 2017. "Scan of working fluids based on dynamic response characters for Organic Rankine Cycle using for engine waste heat recovery," Energy, Elsevier, vol. 133(C), pages 609-620.
    5. Chen, Xiaoxue & Liu, Chao & Li, Qibin & Wang, Xurong & Wang, Shukun, 2020. "Dynamic behavior of supercritical organic Rankine cycle using zeotropic mixture working fluids," Energy, Elsevier, vol. 191(C).
    6. Desideri, Adriano & Hernandez, Andres & Gusev, Sergei & van den Broek, Martijn & Lemort, Vincent & Quoilin, Sylvain, 2016. "Steady-state and dynamic validation of a small-scale waste heat recovery system using the ThermoCycle Modelica library," Energy, Elsevier, vol. 115(P1), pages 684-696.
    7. Liu, Yaping & Wang, Ying & Huang, Diangui, 2019. "Supercritical CO2 Brayton cycle: A state-of-the-art review," Energy, Elsevier, vol. 189(C).
    8. 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.
    9. Jolevski, Danijel & Bego, Ozren & Sarajcev, Petar, 2017. "Control structure design and dynamics modelling of the organic Rankine cycle system," Energy, Elsevier, vol. 121(C), pages 193-204.
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    1. Zhao, Tian & Li, Hang & Li, Xia & Sun, Qing-Han & Fang, Xuan-Yi & Ma, Huan & Chen, Qun, 2024. "A frequency domain dynamic simulation method for heat exchangers and thermal systems," Energy, Elsevier, vol. 286(C).

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