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A direct optimal control strategy of variable speed pumps in heat exchanger networks and experimental validations

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  • Wang, Yi-Fei
  • Chen, Qun

Abstract

Energy conservation of HENs (heat exchanger networks) has been attaching more and more attentions with all kinds of methods for operation optimization. Several methods optimize the temperature and/or pressure differential set points for HENs, but cannot control the components directly, which has to seek the help of some control strategies. This paper introduces a direct optimal control strategy of VSPs (variable speed pumps) based on the newly proposed thermal resistance-based optimization method together with the physical models of each component in HENs, which can directly calculate the optimal rotation frequencies of each VSP for optimal operation. To illustrate this method, a series of experiments are performed with a VWV (variable water volume) HEN, including a group of experiments to determine the characteristic parameters in the physical models of each component, and the others to test the HEN performances with the optimal operating parameters and other alternative ones. The results show that the newly proposed direct control strategy can directly get the optimal rotation frequencies of each VSP with the least total power consumption under specific system requirements and constraints. On this basis, for different system requirements, different operating frequencies of VSPs are optimized to demonstrate the universality of the direct optimal control strategy.

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  • 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.
    • Handle: RePEc:eee:energy:v:85:y:2015:i:c:p:609-619
    DOI: 10.1016/j.energy.2015.03.107
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    1. Candanedo, J.A. & Dehkordi, V.R. & Stylianou, M., 2013. "Model-based predictive control of an ice storage device in a building cooling system," Applied Energy, Elsevier, vol. 111(C), pages 1032-1045.
    2. Ma, Zhenjun & Wang, Shengwei & Xiao, Fu, 2009. "Online performance evaluation of alternative control strategies for building cooling water systems prior to in situ implementation," Applied Energy, Elsevier, vol. 86(5), pages 712-721, May.
    3. Kusiak, Andrew & Li, Mingyang & Tang, Fan, 2010. "Modeling and optimization of HVAC energy consumption," Applied Energy, Elsevier, vol. 87(10), pages 3092-3102, October.
    4. Duan, Hong-Bo & Fan, Ying & Zhu, Lei, 2013. "What’s the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS?," Applied Energy, Elsevier, vol. 112(C), pages 866-875.
    5. Loveday, D. L. & Virk, G. S., 1992. "Artificial intelligence for buildings," Applied Energy, Elsevier, vol. 41(3), pages 201-221.
    6. 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.
    7. Miki, H. & Shimizu, A., 1998. "Dynamic characteristics of phosphoric-acid fuel-cell stack cooling system," Applied Energy, Elsevier, vol. 61(1), pages 41-56, September.
    8. Yu, F.W. & Chan, K.T., 2008. "Optimization of water-cooled chiller system with load-based speed control," Applied Energy, Elsevier, vol. 85(10), pages 931-950, October.
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    Cited by:

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    2. Sun, Lin & Zha, Xinlang & Luo, Xionglin, 2018. "Coordination between bypass control and economic optimization for heat exchanger network," Energy, Elsevier, vol. 160(C), pages 318-329.
    3. Gu, Yandong & Pei, Ji & Yuan, Shouqi & Wang, Wenjie & Zhang, Fan & Wang, Peng & Appiah, Desmond & Liu, Yong, 2019. "Clocking effect of vaned diffuser on hydraulic performance of high-power pump by using the numerical flow loss visualization method," Energy, Elsevier, vol. 170(C), pages 986-997.
    4. Chang, Chenglin & Wang, Yufei & Ma, Jiaze & Chen, Xiaolu & Feng, Xiao, 2018. "An energy hub approach for direct interplant heat integration," Energy, Elsevier, vol. 159(C), pages 878-890.
    5. 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).
    6. 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).
    7. 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.
    8. Yin, Qian & Du, Wen-Jing & Cheng, Lin, 2017. "Optimization design of heat recovery systems on rotary kilns using genetic algorithms," Applied Energy, Elsevier, vol. 202(C), pages 153-168.

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