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Analysis and Optimization Design of a Solar Water Heating System Based on Life Cycle Cost Using a Genetic Algorithm

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  • Myeong Jin Ko

    (Urban Development Institute, Incheon National University, Incheon 406-772, Korea)

Abstract

This paper presents an optimization method to design a solar water heating (SWH) system based on life cycle cost (LCC). A genetic algorithm is employed to optimize its configuration and sizing as the optimization technique. To ensure that the optimal solution obtained from the proposed method is a practical design, three constraint conditions, including the energy balance, solar fraction, and available space to install solar collectors, have been set. In addition, the real devices available in the marketplace are considered in the optimization process that searches for optimal configuration and sizing, which is represented by the type and number of each component. By using the proposed method, a SWH system in an office building, South Korea has been designed and optimized. It is observed that a low solar fraction does not always present a decrease in the LCC. A trade-off between the equipment cost and the energy cost results in an optimal design of the SWH system that yields the minimum LCC.

Suggested Citation

  • Myeong Jin Ko, 2015. "Analysis and Optimization Design of a Solar Water Heating System Based on Life Cycle Cost Using a Genetic Algorithm," Energies, MDPI, vol. 8(10), pages 1-24, October.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:10:p:11380-11403:d:57019
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    References listed on IDEAS

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    1. Raisul Islam, M. & Sumathy, K. & Ullah Khan, Samee, 2013. "Solar water heating systems and their market trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 1-25.
    2. Wang, Zhangyuan & Yang, Wansheng & Qiu, Feng & Zhang, Xiangmei & Zhao, Xudong, 2015. "Solar water heating: From theory, application, marketing and research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 68-84.
    3. Shukla, Ruchi & Sumathy, K. & Erickson, Phillip & Gong, Jiawei, 2013. "Recent advances in the solar water heating systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 173-190.
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    Cited by:

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    5. Wang, Chuyao & Ji, Jie & Song, Zhiying & Ke, Wei, 2024. "Performance analysis and capacity configuration of building energy system integrated with PV/T technology under different operation strategies," Energy, Elsevier, vol. 293(C).
    6. Myeong Jin Ko, 2015. "Multi-Objective Optimization Design for Indirect Forced-Circulation Solar Water Heating System Using NSGA-II," Energies, MDPI, vol. 8(11), pages 1-25, November.
    7. Joanna Ferdyn-Grygierek & Krzysztof Grygierek, 2017. "Multi-Variable Optimization of Building Thermal Design Using Genetic Algorithms," Energies, MDPI, vol. 10(10), pages 1-20, October.
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