IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v254y2022ipbs0360544222012373.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222012373
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124334?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Liu, Yaping & Wang, Ying & Huang, Diangui, 2019. "Supercritical CO2 Brayton cycle: A state-of-the-art review," Energy, Elsevier, vol. 189(C).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Cai, Jinwen & Tian, Hua & Wang, Xuan & Wang, Rui & Shu, Gequn & Wang, Mingtao, 2021. "A calibrated organic Rankine cycle dynamic model applying to subcritical system and transcritical system," Energy, Elsevier, vol. 237(C).
    3. Du, Yang & Liu, Tingting & Wang, Yaxiong & Chen, Kang & Zhao, Pan & Wang, Jiangfeng & Dai, Yiping, 2021. "Transient behavior investigation of a regenerative dual-evaporator organic Rankine cycle with different forms of disturbances: Towards coordinated feedback control realization," Energy, Elsevier, vol. 235(C).
    4. 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).
    5. 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.
    6. 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.
    7. Michael Chukwuemeka Ekwonu & Mirae Kim & Binqi Chen & Muhammad Tauseef Nasir & Kyung Chun Kim, 2023. "Dynamic Simulation of Partial Load Operation of an Organic Rankine Cycle with Two Parallel Expanders," Energies, MDPI, vol. 16(1), pages 1-18, January.
    8. Cheng, Ziyang & Wang, Jiangfeng & Yang, Peijun & Wang, Yaxiong & Chen, Gang & Zhao, Pan & Dai, Yiping, 2022. "Comparison of control strategies and dynamic behaviour analysis of a Kalina cycle driven by a low-grade heat source," Energy, Elsevier, vol. 242(C).
    9. 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.
    10. Shu, Gequn & Wang, Rui & Tian, Hua & Wang, Xuan & Li, Xiaoya & Cai, Jinwen & Xu, Zhiqiang, 2020. "Dynamic performance of the transcritical power cycle using CO2-based binary zeotropic mixtures for truck engine waste heat recovery," Energy, Elsevier, vol. 194(C).
    11. Cao, Shuang & Xu, Jinliang & Miao, Zheng & Liu, Xiulong & Zhang, Ming & Xie, Xuewang & Li, Zhi & Zhao, Xiaoli & Tang, Guihua, 2019. "Steady and transient operation of an organic Rankine cycle power system," Renewable Energy, Elsevier, vol. 133(C), pages 284-294.
    12. Gleinser, Moritz & Wieland, Christoph & Spliethoff, Hartmut, 2018. "Batch evaporation power cycle: Influence of thermal inertia and residence time," Energy, Elsevier, vol. 157(C), pages 1090-1101.
    13. Xuan Wang & Hua Tian & Gequn Shu, 2016. "Part-Load Performance Prediction and Operation Strategy Design of Organic Rankine Cycles with a Medium Cycle Used for Recovering Waste Heat from Gaseous Fuel Engines," Energies, MDPI, vol. 9(7), pages 1-21, July.
    14. Lin, Shan & Zhao, Li & Deng, Shuai & Ni, Jiaxin & Zhang, Ying & Ma, Minglu, 2019. "Dynamic performance investigation for two types of ORC system driven by waste heat of automotive internal combustion engine," Energy, Elsevier, vol. 169(C), pages 958-971.
    15. Marchionni, Matteo & Bianchi, Giuseppe & Karvountzis-Kontakiotis, Apostolos & Pesyridis, Apostolos & Tassou, Savvas A., 2018. "An appraisal of proportional integral control strategies for small scale waste heat to power conversion units based on Organic Rankine Cycles," Energy, Elsevier, vol. 163(C), pages 1062-1076.
    16. Wu, Xialai & Chen, Junghui & Xie, Lei, 2018. "Integrated operation design and control of Organic Rankine Cycle systems with disturbances," Energy, Elsevier, vol. 163(C), pages 115-129.
    17. Tailu Li & Zeyu Wang & Jingyi Wang & Xiang Gao, 2023. "Dynamic Performance of Organic Rankine Cycle Driven by Fluctuant Industrial Waste Heat for Building Power Supply," Energies, MDPI, vol. 16(2), pages 1-24, January.
    18. Wang, Zhiqi & Pan, Huihui & Xia, Xiaoxia & Xie, Baoqi & Peng, Deqi & Yang, Huya, 2022. "Experimental investigation on steady and dynamic performance of organic Rankine cycle with R245fa/R141b under different cooling and expander speed conditions," Energy, Elsevier, vol. 241(C).
    19. Matteo Marchionni & Fabio Fatigati & Marco Di Bartolomeo & Davide Di Battista & Mario Petrollese, 2022. "Experimental and Numerical Dynamic Investigation of an ORC System for Waste Heat Recovery Applications in Transportation Sector," Energies, MDPI, vol. 15(24), pages 1-24, December.
    20. Miguel Castro Oliveira & Muriel Iten & Henrique A. Matos, 2022. "Review on Water and Energy Integration in Process Industry: Water-Heat Nexus," Sustainability, MDPI, vol. 14(13), pages 1-24, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:254:y:2022:i:pb:s0360544222012373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.