IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v139y2015icp81-92.html
   My bibliography  Save this article

Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks

Author

Listed:
  • Chen, Qun
  • Fu, Rong-Huan
  • Xu, Yun-Chao

Abstract

Electrical circuit analogy is an effective method for the performance analysis of various heat transfer processes, whereas there is no equivalent thermal circuit for heat exchanger networks (HENs). In view of this limitation, and based on the concept of entransy-dissipation-based thermal resistance (EDTR), we introduce an equivalent thermal circuit to represent the heat transfer process in a heat exchanger, and then analyze the temperature variations of all the working fluids in each heat exchanger to establish the equivalent thermal circuits for such three basic layouts of HENs as multiple-loop, series, and parallel. The combination of these equivalent thermal circuits gives the overall equivalent thermal circuit for any HEN consisting of the three basic layouts. Accordingly, the inherent relationships, i.e., the constraint equations, of all the parameters in a HEN are built by circuitous philosophy. Based on these constraint equations together with the Lagrange multiplier method, we propose a mathematical method for the optimization of heat transfer performance in HENs. Finally, as an example, the heat transfer processes in a district heating system is analyzed and optimized by the newly proposed equivalent thermal circuit and the corresponding optimization method to show the applications.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:139:y:2015:i:c:p:81-92
    DOI: 10.1016/j.apenergy.2014.11.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914011702
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2014.11.021?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. Fong, K.F. & Yuen, S.Y. & Chow, C.K. & Leung, S.W., 2010. "Energy management and design of centralized air-conditioning systems through the non-revisiting strategy for heuristic optimization methods," Applied Energy, Elsevier, vol. 87(11), pages 3494-3506, November.
    2. Yuan, Fang & Chen, Qun, 2012. "A global optimization method for evaporative cooling systems based on the entransy theory," Energy, Elsevier, vol. 42(1), pages 181-191.
    3. Ma, Zhenjun & Wang, Shengwei, 2011. "Supervisory and optimal control of central chiller plants using simplified adaptive models and genetic algorithm," Applied Energy, Elsevier, vol. 88(1), pages 198-211, January.
    4. Chen, Qun & Xu, Yun-Chao, 2012. "An entransy dissipation-based optimization principle for building central chilled water systems," Energy, Elsevier, vol. 37(1), pages 571-579.
    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. 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.
    2. Zhu, Mengshu & Li, Jinghua, 2022. "Integrated dispatch for combined heat and power with thermal energy storage considering heat transfer delay," Energy, Elsevier, vol. 244(PB).
    3. Yang, Jingwei & Zhang, Ning & Botterud, Audun & Kang, Chongqing, 2020. "Situation awareness of electricity-gas coupled systems with a multi-port equivalent gas network model," Applied Energy, Elsevier, vol. 258(C).
    4. Vidović, Danko & Sutlović, Elis & Majstrović, Matislav, 2019. "Steady state analysis and modeling of the gas compressor station using the electrical analogy," Energy, Elsevier, vol. 166(C), pages 307-317.
    5. Li, Jinghua & Fang, Jiakun & Zeng, Qing & Chen, Zhe, 2016. "Optimal operation of the integrated electrical and heating systems to accommodate the intermittent renewable sources," Applied Energy, Elsevier, vol. 167(C), pages 244-254.
    6. 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).
    7. Jiang, Tuo & Min, Yong & Zhou, Guiping & Chen, Lei & Chen, Qun & Xu, Fei & Luo, Huanhuan, 2021. "Hierarchical dispatch method for integrated heat and power systems considering the heat transfer process," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    8. Spiliotis, Konstantinos & Gonçalves, Juliana E. & Van De Sande, Wieland & Ravyts, Simon & Daenen, Michael & Saelens, Dirk & Baert, Kris & Driesen, Johan, 2019. "Modeling and validation of a DC/DC power converter for building energy simulations: Application to BIPV systems," Applied Energy, Elsevier, vol. 240(C), pages 646-665.
    9. 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).
    10. Wentao Yang & Fushuan Wen & Ke Wang & Yuchun Huang & Md. Abdus Salam, 2018. "Modeling of a District Heating System and Optimal Heat-Power Flow," Energies, MDPI, vol. 11(4), pages 1-19, April.
    11. Wei Shao & Shuo Wang & Wenpu Wang & Kun Shao & Qi Xiao & Zheng Cui, 2023. "Experiment and Simulation on a Refrigeration Ventilation System for Deep Metal Mines," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    12. Zhang, Suhan & Gu, Wei & Lu, Hai & Qiu, Haifeng & Lu, Shuai & Wang, Dada & Liang, Junyu & Li, Wenyun, 2021. "Superposition-principle based decoupling method for energy flow calculation in district heating networks," Applied Energy, Elsevier, vol. 295(C).
    13. He, Zhiguang & Xi, Haonan & Wang, Jianmin & Li, Zhen & Cao, Jianguo & Li, Haibin, 2022. "Synergy optimization analysis of heat transfer performance and energy consumption in heat transfer process and its application in data centers," Applied Energy, Elsevier, vol. 307(C).
    14. Lin, Xiaojie & Mao, Yihui & Chen, Jiaying & Zhong, Wei, 2023. "Dynamic modeling and uncertainty quantification of district heating systems considering renewable energy access," Applied Energy, Elsevier, vol. 349(C).
    15. Dong, Zhe & Li, Bowen & Li, Junyi & Jiang, Di & Guo, Zhiwu & Huang, Xiaojin & Zhang, Zuoyi, 2021. "Passivity based control of heat exchanger networks with application to nuclear heating," Energy, Elsevier, vol. 223(C).
    16. Zhao, Tian & Min, Yong & Chen, Qun & Hao, Jun-Hong, 2016. "Electrical circuit analogy for analysis and optimization of absorption energy storage systems," Energy, Elsevier, vol. 104(C), pages 171-183.
    17. Ma, Huan & Chen, Qun & Hu, Bo & Sun, Qinhan & Li, Tie & Wang, Shunjiang, 2021. "A compact model to coordinate flexibility and efficiency for decomposed scheduling of integrated energy system," Applied Energy, Elsevier, vol. 285(C).
    18. Yifan, Zhou & Wei, Hu & Le, Zheng & Yong, Min & Lei, Chen & Zongxiang, Lu & Ling, Dong, 2020. "Power and energy flexibility of district heating system and its application in wide-area power and heat dispatch," Energy, Elsevier, vol. 190(C).
    19. Andrea Bonfiglio & Massimo Brignone & Federico Delfino & Alessandro Nilberto & Renato Procopio, 2016. "Definition and Experimental Validation of a Simplified Model for a Microgrid Thermal Network and its Integration into Energy Management Systems," Energies, MDPI, vol. 9(11), pages 1-14, November.
    20. Wenpu Wang & Wei Shao & Shuo Wang & Junling Liu & Kun Shao & Zhuoqun Cao & Yu Liu & Zheng Cui, 2023. "Operation Optimization of Thermal Management System of Deep Metal Mine Based on Heat Current Method and Prediction Model," Energies, MDPI, vol. 16(18), pages 1-21, September.
    21. 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).
    22. Hu, Kang & Chen, Lei & Chen, Qun & Wang, Xiao-Hai & Qi, Jun & Xu, Fei & Min, Yong, 2017. "Phase-change heat storage installation in combined heat and power plants for integration of renewable energy sources into power system," Energy, Elsevier, vol. 124(C), pages 640-651.
    23. Gou, Xing & Chen, Qun & Sun, Yong & Ma, Huan & Li, Bao-Ju, 2021. "Holistic analysis and optimization of distributed energy system considering different transport characteristics of multi-energy and component efficiency variation," Energy, Elsevier, vol. 228(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, Qun & Wang, Yi-Fei & Xu, Yun-Chao, 2015. "A thermal resistance-based method for the optimal design of central variable water/air volume chiller systems," Applied Energy, Elsevier, vol. 139(C), pages 119-130.
    2. 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.
    3. 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.
    4. Abou-Ziyan, Hosny Z. & Alajmi, Ali F., 2014. "Effect of load-sharing operation strategy on the aggregate performance of existed multiple-chiller systems," Applied Energy, Elsevier, vol. 135(C), pages 329-338.
    5. Li, Tailu & Fu, Wencheng & Zhu, Jialing, 2014. "An integrated optimization for organic Rankine cycle based on entransy theory and thermodynamics," Energy, Elsevier, vol. 72(C), pages 561-573.
    6. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Shugang & Gong, Xuemei, 2018. "A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 228(C), pages 1399-1412.
    7. Zhang, Lun & Liu, Xiaohua & Jiang, Yi, 2013. "Application of entransy in the analysis of HVAC systems in buildings," Energy, Elsevier, vol. 53(C), pages 332-342.
    8. 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.
    9. Yu, F.W. & Chan, K.T., 2012. "Improved energy management of chiller systems by multivariate and data envelopment analyses," Applied Energy, Elsevier, vol. 92(C), pages 168-174.
    10. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    11. Cui, X. & Islam, M.R. & Mohan, B. & Chua, K.J., 2016. "Theoretical analysis of a liquid desiccant based indirect evaporative cooling system," Energy, Elsevier, vol. 95(C), pages 303-312.
    12. Yu Zhai & Xu Zhao & Zhifeng Dong, 2022. "Research on Performance Optimization of Gravity Heat Pipe for Mine Return Air," Energies, MDPI, vol. 15(22), pages 1-14, November.
    13. Xiaoqing Wei & Nianping Li & Jinqing Peng & Jianlin Cheng & Jinhua Hu & Meng Wang, 2017. "Modeling and Optimization of a CoolingTower-Assisted Heat Pump System," Energies, MDPI, vol. 10(5), pages 1-18, May.
    14. Zhang, Ning & Yin, Shao-You & Li, Min, 2018. "Model-based optimization for a heat pump driven and hollow fiber membrane hybrid two-stage liquid desiccant air dehumidification system," Applied Energy, Elsevier, vol. 228(C), pages 12-20.
    15. Dai, Mingkun & Li, Hangxin & Wang, Shengwei, 2023. "A reinforcement learning-enabled iterative learning control strategy of air-conditioning systems for building energy saving by shortening the morning start period," Applied Energy, Elsevier, vol. 334(C).
    16. Guo, Jiangfeng & Huai, Xiulan, 2012. "Optimization design of recuperator in a chemical heat pump system based on entransy dissipation theory," Energy, Elsevier, vol. 41(1), pages 335-343.
    17. Zhuang, Chaoqun & Wang, Shengwei & Shan, Kui, 2020. "A risk-based robust optimal chiller sequencing control strategy for energy-efficient operation considering measurement uncertainties," Applied Energy, Elsevier, vol. 280(C).
    18. Zhang, Lun & Wei, Hongyang & Zhang, Xiaosong, 2017. "Theoretical analysis of heat and mass transfer characteristics of a counter-flow packing tower and liquid desiccant dehumidification systems based on entransy theory," Energy, Elsevier, vol. 141(C), pages 661-672.
    19. Taslimi-Renani, Ehsan & Modiri-Delshad, Mostafa & Elias, Mohamad Fathi Mohamad & Rahim, Nasrudin Abd., 2016. "Development of an enhanced parametric model for wind turbine power curve," Applied Energy, Elsevier, vol. 177(C), pages 544-552.
    20. Juan-Carlos Fraile & Julio San-José & Ana González-Alonso, 2014. "A Boiler Room in a 600-Bed Hospital Complex: Study, Analysis, and Implementation of Energy Efficiency Improvements," Energies, MDPI, vol. 7(5), pages 1-22, May.

    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:appene:v:139:y:2015:i:c:p:81-92. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.