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Techno-economic optimization of open-air swimming pool heating system with PCM storage tank for winter applications

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  • Li, Yantong
  • Ding, Zhixiong
  • Du, Yaxing

Abstract

Feasible heating systems have been designed to increase the availability of open-air swimming pools in winter in subtropical climate regions. However, the approach to optimally size the main components of the system from multiple aspects is lacking. A techno-economic optimization method for swimming pool heating systems is proposed here. Minimizing the lifecycle cost of the system while ensuring the thermal comfort of the pool are considered as the optimization objectives. The volume of phase change material storage tank and the heating capacity of air-source heat pumps are selected as design variables. To improve computational efficiency, surrogate models are developed using the response surface approach, in which the dataset is generated from the simulation platform established using MATLAB and TRNSYS. Generic algorithm and non-dominated sorting genetic algorithm II are adopted to conduct single-objective and double-objective optimizations, respectively. Case studies indicate that optimal combinations for the size of main components can be identified using the proposed optimization approach. The energy and economic performance of the heating system are enhanced after optimization. The proposed techno-economic optimization method provides an instructive guideline for the optimal design of swimming pool heating systems.

Suggested Citation

  • Li, Yantong & Ding, Zhixiong & Du, Yaxing, 2020. "Techno-economic optimization of open-air swimming pool heating system with PCM storage tank for winter applications," Renewable Energy, Elsevier, vol. 150(C), pages 878-890.
    • Handle: RePEc:eee:renene:v:150:y:2020:i:c:p:878-890
    DOI: 10.1016/j.renene.2020.01.029
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    Cited by:

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    4. Pouranian, Fatemeh & Akbari, Habibollah & Hosseinalipour, S.M., 2021. "Performance assessment of solar chimney coupled with earth-to-air heat exchanger: A passive alternative for an indoor swimming pool ventilation in hot-arid climate," Applied Energy, Elsevier, vol. 299(C).
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    6. Ding, Zhixiong & Wu, Wei & Leung, Michael, 2021. "Advanced/hybrid thermal energy storage technology: material, cycle, system and perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    7. Ding, Zhixiong & Wu, Wei, 2022. "A novel double-effect compression-assisted absorption thermal battery with high storage performance for thermal energy storage," Renewable Energy, Elsevier, vol. 191(C), pages 902-918.
    8. Francesco Pelella & Luca Viscito & Federico Magnea & Alessandro Zanella & Stanislao Patalano & Alfonso William Mauro & Nicola Bianco, 2023. "Comparison between Physics-Based Approaches and Neural Networks for the Energy Consumption Optimization of an Automotive Production Industrial Process," Energies, MDPI, vol. 16(19), pages 1-22, September.
    9. Ding, Zhixiong & Wu, Wei & Chen, Youming & Leung, Michael, 2020. "Dynamic characteristics and performance improvement of a high-efficiency double-effectthermal battery for cooling and heating," Applied Energy, Elsevier, vol. 264(C).

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