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An entransy dissipation-based optimization principle for building central chilled water systems

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  • Chen, Qun
  • Xu, Yun-Chao

Abstract

The recently developed entransy theory is introduced in this paper to tackle the heat transfer processes in building central chilled water systems so as to improve their energy efficiency. We first divide the irreversible heat transfer processes into four categories: (1) air mixing processes; (2) heat transfer processes between chilled water and air; (3) chilled water mixing processes; and (4) heat transfer processes between chilled water and refrigerant. The formulas of entransy dissipation rates for each irreversible process are derived, and then the total entransy dissipation rate in the whole chilled water systems is obtained, which connects the geometrical structures of each heat exchanger and the operating parameters of each fluid directly to the demands of users and the supply of refrigerating unit. Based on the formula of entransy dissipation rate together with the conditional extremum method in mathematics, two optimization equation groups are deduced theoretically. Simultaneously solving such equation groups will easily find the optimal central chilled water system with the highest energy efficiency. Finally, a simple building central chilled water system with two users is taken as an example to illustrate the applications of the newly proposed optimization principle.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:37:y:2012:i:1:p:571-579
    DOI: 10.1016/j.energy.2011.10.047
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    References listed on IDEAS

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    1. Chen, Qun & Yang, Kangding & Wang, Moran & Pan, Ning & Guo, Zeng-Yuan, 2010. "A new approach to analysis and optimization of evaporative cooling system I: Theory," Energy, Elsevier, vol. 35(6), pages 2448-2454.
    2. 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.
    3. Chen, Qun & Wang, Moran & Pan, Ning & Guo, Zeng-Yuan, 2009. "Optimization principles for convective heat transfer," Energy, Elsevier, vol. 34(9), pages 1199-1206.
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    1. 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.
    2. 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.
    3. Ibáñez, Guillermo & López, Aracely & Pantoja, Joel & Moreira, Joel & Reyes, Juan A., 2013. "Optimum slip flow based on the minimization of entropy generation in parallel plate microchannels," Energy, Elsevier, vol. 50(C), pages 143-149.
    4. Wang, Sheng & Xie, Xiaoyun & Jiang, Yi, 2014. "Optimization design of the large temperature lift/drop multi-stage vertical absorption temperature transformer based on entransy dissipation method," Energy, Elsevier, vol. 68(C), pages 712-721.
    5. 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.
    6. 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.
    7. Xuefeng, Liu & Jinping, Liu & Zhitao, Lu & Kongzu, Xing & Yuebang, Mai, 2015. "Diversity of energy-saving control strategy for a parallel chilled water pump based on variable differential pressure control in an air-conditioning system," Energy, Elsevier, vol. 88(C), pages 718-733.
    8. 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.
    9. Xingbo Yao & Bart J. Dewancker & Yuang Guo & Shuo Han & Juan Xu, 2020. "Study on Passive Ventilation and Cooling Strategies for Cold Lanes and Courtyard Houses—A Case Study of Rural Traditional Village in Shaanxi, China," Sustainability, MDPI, vol. 12(20), pages 1-36, October.
    10. Men, Yiyu & Liu, Xiaohua & Zhang, Tao, 2020. "Analytical solutions of heat and mass transfer process in combined gas-water heat exchanger applied for waste heat recovery," Energy, Elsevier, vol. 206(C).
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Guo, Jiangfeng & Huai, Xiulan, 2012. "The application of entransy theory in optimization design of Isopropanol–Acetone–Hydrogen chemical heat pump," Energy, Elsevier, vol. 43(1), pages 355-360.

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