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Modeling and Optimization of a CoolingTower-Assisted Heat Pump System

Author

Listed:
  • Xiaoqing Wei

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Nianping Li

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Jinqing Peng

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Jianlin Cheng

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Jinhua Hu

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

  • Meng Wang

    (College of Civil Engineering, Hunan University, Changsha 410082, China)

Abstract

To minimize the total energy consumption of a cooling tower-assisted heat pump (CTAHP) system in cooling mode, a model-based control strategy with hybrid optimization algorithm for the system is presented in this paper. An existing experimental device, which mainly contains a closed wet cooling tower with counter flow construction, a condenser water loop and a water-to-water heat pump unit, is selected as the study object. Theoretical and empirical models of the related components and their interactions are developed. The four variables, viz. desired cooling load, ambient wet-bulb temperature, temperature and flow rate of chilled water at the inlet of evaporator, are set to independent variables. The system power consumption can be minimized by optimizing input powers of cooling tower fan, spray water pump, condenser water pump and compressor. The optimal input power of spray water pump is determined experimentally. Implemented on MATLAB, a hybrid optimization algorithm, which combines the Limited memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm with the greedy diffusion search (GDS) algorithm, is incorporated to solve the minimization problem of energy consumption and predict the system’s optimal set-points under quasi-steady-state conditions. The integrated simulation tool is validated against experimental data. The results obtained demonstrate the proposed operation strategy is reliable, and can save energy by 20.8% as compared to an uncontrolled system under certain testing conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:733-:d:99224
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    References listed on IDEAS

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    1. Stabat, Pascal & Marchio, Dominique, 2004. "Simplified model for indirect-contact evaporative cooling-tower behaviour," Applied Energy, Elsevier, vol. 78(4), pages 433-451, August.
    2. Xiaoqing Wei & Nianping Li & Jinqing Peng & Jianlin Cheng & Lin Su & Jinhua Hu, 2016. "Analysis of the Effect of the CaCl 2 Mass Fraction on the Efficiency of a Heat Pump Integrated Heat-Source Tower Using an Artificial Neural Network Model," Sustainability, MDPI, vol. 8(5), pages 1-14, April.
    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. Xiaoqing Wei & Nianping Li & Jinqing Peng & Jianlin Cheng & Jinhua Hu & Meng Wang, 2017. "Performance Analyses of Counter-Flow Closed Wet Cooling Towers Based on a Simplified Calculation Method," Energies, MDPI, vol. 10(3), pages 1-15, February.
    5. Wei, Xiupeng & Xu, Guanglin & Kusiak, Andrew, 2014. "Modeling and optimization of a chiller plant," Energy, Elsevier, vol. 73(C), pages 898-907.
    6. Thangavelu, Sundar Raj & Myat, Aung & Khambadkone, Ashwin, 2017. "Energy optimization methodology of multi-chiller plant in commercial buildings," Energy, Elsevier, vol. 123(C), pages 64-76.
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    Cited by:

    1. Weibo Yang & Binbin Yang & Rui Xu, 2018. "Experimental Study on the Heat Release Operational Characteristics of a Soil Coupled Ground Heat Exchanger with Assisted Cooling Tower," Energies, MDPI, vol. 11(1), pages 1-17, January.

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