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Multi-Objective Optimization Design for Indirect Forced-Circulation Solar Water Heating System Using NSGA-II

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  • Myeong Jin Ko

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

Abstract

In this study, the multi-objective optimization of an indirect forced-circulation solar water heating (SWH) system was performed to obtain the optimal configuration that minimized the life cycle cost (LCC) and maximized the life cycle net energy saving (LCES). An elitist non-dominated sorting genetic algorithm (NSGA-II) was employed to obtain the Pareto optimal solutions of the multi-objective optimization. To incorporate the characteristics of practical SWH systems, operation-related decision variables as well as capacity-related decision variables were included. The proposed method was used to conduct a case study wherein the optimal configuration of the SWH system of an office building was determined. The case study results showed that the energy cost decreases linearly and the equipment cost increases more significantly as the LCES increases. However, the results also showed that it is difficult to identify the best solution among the Pareto optimal solutions using only the correlation between the corresponding objective function values. Furthermore, regression analysis showed that the energy and economic performances of the Pareto optimal solutions are significantly influenced by the ratio of the storage tank volume to the collector area (RVA). Therefore, it is necessary to simultaneously consider the trade-off and the effect of the RVA on the Pareto optimal solutions while selecting the best solution from among the optimal solutions.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:11:p:12360-13161:d:59079
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    References listed on IDEAS

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    Cited by:

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    3. Tayyab, Muhammad & Cheema, Taqi Ahmad & Malik, Muhammad Sohail & Muzaffar, Atif & Sajid, Muhammad Bilal & Park, Cheol Woo, 2020. "Investigation of thermal energy exchange potential of a gravitational water vortex," Renewable Energy, Elsevier, vol. 162(C), pages 1380-1398.
    4. Xun Yang & Teng Xiong & Jing Liang Dong & Wen Xin Li & Yong Wang, 2017. "Investigation of the Dynamic Melting Process in a Thermal Energy Storage Unit Using a Helical Coil Heat Exchanger," Energies, MDPI, vol. 10(8), pages 1-18, August.
    5. Sajid Mehmood & Serguey A. Maximov & Hannah Chalmers & Daniel Friedrich, 2020. "Energetic, Economic and Environmental (3E) Assessment and Design of Solar-Powered HVAC Systems in Pakistan," Energies, MDPI, vol. 13(17), pages 1-25, August.
    6. Carlos J. Porras-Prieto & Susana Benedicto-Schönemann & Fernando R. Mazarrón & Rosa M. Benavente, 2016. "Profitability Variations of a Solar System with an Evacuated Tube Collector According to Schedules and Frequency of Hot Water Demand," Energies, MDPI, vol. 9(12), pages 1-15, December.

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