IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v194y2020ics0360544220300189.html
   My bibliography  Save this article

Graph theory-based heat current analysis method for supercritical CO2 power generation system

Author

Listed:
  • Li, Xia
  • Chen, Qun
  • Chen, Xi
  • He, Ke-Lun
  • Hao, Jun-Hong

Abstract

Supercritical carbon dioxide (sCO2) power generation system holds tremendous potential in energy utilization fields featuring with its high efficiency, compactness, and security. However, dramatic variations in sCO2 thermophysical properties make the existing constant property analysis methods imprecise. In this contribution, inlet temperature difference-based thermal resistance transforms the nonlinear governing equations of heat transfer process into linear forms, and applying the graph theory builds the heat current model of a sCO2 recompression cycle with consideration of fluid property variation, which is analogous to electric circuit. Therefore, utilizing the electric circuit principle offers the overall heat transport and conversion laws in the whole system and gives the integral mathematical relations of all independent variables, which are solved by the newly proposed iterative divide-and-conquer solution algorithm. Finally, optimization of a typical sCO2 recompression system under different boundary conditions shows the applicability and conciseness of the heat current method compared to the existing analysis methods.

Suggested Citation

  • Li, Xia & Chen, Qun & Chen, Xi & He, Ke-Lun & Hao, Jun-Hong, 2020. "Graph theory-based heat current analysis method for supercritical CO2 power generation system," Energy, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:energy:v:194:y:2020:i:c:s0360544220300189
    DOI: 10.1016/j.energy.2020.116911
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220300189
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.116911?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. Reyes-Belmonte, M.A. & Sebastián, A. & Romero, M. & González-Aguilar, J., 2016. "Optimization of a recompression supercritical carbon dioxide cycle for an innovative central receiver solar power plant," Energy, Elsevier, vol. 112(C), pages 17-27.
    2. Xu, Yun-Chao & Chen, Qun, 2013. "A theoretical global optimization method for vapor-compression refrigeration systems based on entransy theory," Energy, Elsevier, vol. 60(C), pages 464-473.
    3. Saeed, Muhammad & Kim, Man-Hoe, 2018. "Analysis of a recompression supercritical carbon dioxide power cycle with an integrated turbine design/optimization algorithm," Energy, Elsevier, vol. 165(PA), pages 93-111.
    4. Wang, Yi-Fei & Chen, Qun, 2015. "A direct optimal control strategy of variable speed pumps in heat exchanger networks and experimental validations," Energy, Elsevier, vol. 85(C), pages 609-619.
    5. Kim, Y.M. & Kim, C.G. & Favrat, D., 2012. "Transcritical or supercritical CO2 cycles using both low- and high-temperature heat sources," Energy, Elsevier, vol. 43(1), pages 402-415.
    6. Xu, Yun-Chao & Chen, Qun & Guo, Zeng-Yuan, 2015. "Entransy dissipation-based constraint for optimization of heat exchanger networks in thermal systems," Energy, Elsevier, vol. 86(C), pages 696-708.
    7. Crespi, Francesco & Gavagnin, Giacomo & Sánchez, David & Martínez, Gonzalo S., 2017. "Supercritical carbon dioxide cycles for power generation: A review," Applied Energy, Elsevier, vol. 195(C), pages 152-183.
    8. Chen, Qun & Fu, Rong-Huan & Xu, Yun-Chao, 2015. "Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks," Applied Energy, Elsevier, vol. 139(C), pages 81-92.
    9. Akbari, Ata D. & Mahmoudi, Seyed M.S., 2014. "Thermoeconomic analysis & optimization of the combined supercritical CO2 (carbon dioxide) recompression Brayton/organic Rankine cycle," Energy, Elsevier, vol. 78(C), pages 501-512.
    10. Duniam, Sam & Veeraragavan, Ananthanarayanan, 2019. "Off-design performance of the supercritical carbon dioxide recompression Brayton cycle with NDDCT cooling for concentrating solar power," Energy, Elsevier, vol. 187(C).
    11. Al-Sulaiman, Fahad A. & Atif, Maimoon, 2015. "Performance comparison of different supercritical carbon dioxide Brayton cycles integrated with a solar power tower," Energy, Elsevier, vol. 82(C), pages 61-71.
    12. Chen, Qun & Xu, Yun-Chao & Hao, Jun-Hong, 2014. "An optimization method for gas refrigeration cycle based on the combination of both thermodynamics and entransy theory," Applied Energy, Elsevier, vol. 113(C), pages 982-989.
    13. Wang, Jiangfeng & Sun, Zhixin & Dai, Yiping & Ma, Shaolin, 2010. "Parametric optimization design for supercritical CO2 power cycle using genetic algorithm and artificial neural network," Applied Energy, Elsevier, vol. 87(4), pages 1317-1324, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sun, Lei & Liu, Tianyuan & Wang, Ding & Huang, Chengming & Xie, Yonghui, 2022. "Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems," Applied Energy, Elsevier, vol. 324(C).
    2. Zhang, Ruiyuan & Su, Wen & Lin, Xinxing & Zhou, Naijun & Zhao, Li, 2020. "Thermodynamic analysis and parametric optimization of a novel S–CO2 power cycle for the waste heat recovery of internal combustion engines," Energy, Elsevier, vol. 209(C).
    3. Zhao, Tian & Chen, Xi & He, Ke-Lun & Chen, Qun, 2021. "A standardized modeling strategy for heat current method-based analysis and simulation of thermal systems," Energy, Elsevier, vol. 217(C).
    4. Xin, Yong-Lin & Sun, Qing-Han & Zhao, Tian & Li, Xia & Chen, Qun, 2023. "A categorized and decomposed algorithm for thermal system simulation based on generalized benders decomposition," Energy, Elsevier, vol. 282(C).

    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. Chen, Xi & Chen, Qun & Chen, Hong & Xu, Ying-Gen & Zhao, Tian & Hu, Kang & He, Ke-Lun, 2019. "Heat current method for analysis and optimization of heat recovery-based power generation systems," Energy, Elsevier, vol. 189(C).
    2. Duniam, Sam & Veeraragavan, Ananthanarayanan, 2019. "Off-design performance of the supercritical carbon dioxide recompression Brayton cycle with NDDCT cooling for concentrating solar power," Energy, Elsevier, vol. 187(C).
    3. Saeed, Muhammad & Kim, Man-Hoe, 2022. "A newly proposed supercritical carbon dioxide Brayton cycle configuration to enhance energy sources integration capability," Energy, Elsevier, vol. 239(PA).
    4. Xu, Zhen & Liu, Xinxin & Xie, Yingchun, 2023. "Off-design performances of a dry-cooled supercritical recompression Brayton cycle using CO2–H2S as working fluid," Energy, Elsevier, vol. 276(C).
    5. Yang, Jingze & Yang, Zhen & Duan, Yuanyuan, 2022. "A review on integrated design and off-design operation of solar power tower system with S–CO2 Brayton cycle," Energy, Elsevier, vol. 246(C).
    6. Muhammed Saeed & Khaled Alawadi & Sung Chul Kim, 2020. "Performance of Supercritical CO 2 Power Cycle and Its Turbomachinery with the Printed Circuit Heat Exchanger with Straight and Zigzag Channels," Energies, MDPI, vol. 14(1), pages 1-25, December.
    7. Xinyu Miao & Haochun Zhang & Qi Wang & Wenbo Sun & Yan Xia, 2022. "Thermodynamic, Exergoeconomic and Multi-Objective Analyses of Supercritical N 2 O-He Recompression Brayton Cycle for a Nuclear Spacecraft Application," Energies, MDPI, vol. 15(21), pages 1-31, November.
    8. Palacz, Michal & Haida, Michal & Smolka, Jacek & Plis, Marcin & Nowak, Andrzej J. & Banasiak, Krzysztof, 2018. "A gas ejector for CO2 supercritical cycles," Energy, Elsevier, vol. 163(C), pages 1207-1216.
    9. Wang, Kun & He, Ya-Ling & Zhu, Han-Hui, 2017. "Integration between supercritical CO2 Brayton cycles and molten salt solar power towers: A review and a comprehensive comparison of different cycle layouts," Applied Energy, Elsevier, vol. 195(C), pages 819-836.
    10. Mondal, Subha & De, Sudipta, 2015. "Transcritical CO2 power cycle – Effects of regenerative heating using turbine bleed gas at intermediate pressure," Energy, Elsevier, vol. 87(C), pages 95-103.
    11. Crespi, Francesco & Gavagnin, Giacomo & Sánchez, David & Martínez, Gonzalo S., 2017. "Supercritical carbon dioxide cycles for power generation: A review," Applied Energy, Elsevier, vol. 195(C), pages 152-183.
    12. Fan, Gang & Lu, Xiaochen & Chen, Kang & Zhang, Yicen & Han, Zihao & Yu, Haibin & Dai, Yiping, 2022. "Comparative analysis on design and off-design performance of novel cascade CO2 combined cycles for gas turbine waste heat utilization," Energy, Elsevier, vol. 254(PA).
    13. Fallah, M. & Mohammadi, Z. & Mahmoudi, S.M. Seyed, 2022. "Advanced exergy analysis of the combined S–CO2/ORC system," Energy, Elsevier, vol. 241(C).
    14. Wang, Xurong & Dai, Yiping, 2016. "Exergoeconomic analysis of utilizing the transcritical CO2 cycle and the ORC for a recompression supercritical CO2 cycle waste heat recovery: A comparative study," Applied Energy, Elsevier, vol. 170(C), pages 193-207.
    15. Ehsan, M. Monjurul & Guan, Zhiqiang & Gurgenci, Hal & Klimenko, Alexander, 2020. "Feasibility of dry cooling in supercritical CO2 power cycle in concentrated solar power application: Review and a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    16. Rovira, Antonio & Muñoz, Marta & Sánchez, Consuelo & Martínez-Val, José María, 2015. "Proposal and study of a balanced hybrid Rankine–Brayton cycle for low-to-moderate temperature solar power plants," Energy, Elsevier, vol. 89(C), pages 305-317.
    17. Guo, Jia-Qi & Li, Ming-Jia & He, Ya-Ling & Xu, Jin-Liang, 2019. "A study of new method and comprehensive evaluation on the improved performance of solar power tower plant with the CO2-based mixture cycles," Applied Energy, Elsevier, vol. 256(C).
    18. Xu, Rong-Hong & Zhao, Tian & Ma, Huan & He, Ke-Lun & Lv, Hong-Kun & Guo, Xu-Tao & Chen, Qun, 2023. "Operation optimization of distributed energy systems considering nonlinear characteristics of multi-energy transport and conversion processes," Energy, Elsevier, vol. 283(C).
    19. Ma, Yuegeng & Liu, Ming & Yan, Junjie & Liu, Jiping, 2017. "Thermodynamic study of main compression intercooling effects on supercritical CO2 recompression Brayton cycle," Energy, Elsevier, vol. 140(P1), pages 746-756.
    20. Guo, Jia-Qi & Li, Ming-Jia & Xu, Jin-Liang & Yan, Jun-Jie & Wang, Kun, 2019. "Thermodynamic performance analysis of different supercritical Brayton cycles using CO2-based binary mixtures in the molten salt solar power tower systems," Energy, Elsevier, vol. 173(C), pages 785-798.

    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:194:y:2020:i:c:s0360544220300189. 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.