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Renewable Energy Distributed Energy System Optimal Configuration and Performance Analysis: Improved Zebra Optimization Algorithm

Author

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  • Zhaoyu Qi

    (Key Laboratory of Environmental Protection in Water Transport Engineering Ministry of Transport, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China)

  • Shitao Peng

    (Key Laboratory of Environmental Protection in Water Transport Engineering Ministry of Transport, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China)

  • Peisen Wu

    (Key Laboratory of Environmental Protection in Water Transport Engineering Ministry of Transport, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China)

  • Ming-Lang Tseng

    (Institute of Innovation and Circular Economy, Asia University, Taichung 41354, Taiwan
    Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 406040, Taiwan
    UKM-Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi 43000, Selangor, Malaysia
    Department of Industrial Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

Abstract

The use of distributed energy systems (DES) can utilize local resources to achieve flexible and efficient energy production and supply. However, this aspect of pollutant emission reduction has not been sufficiently investigated in current related studies. On this basis, this study establishes a DES system that integrates a ground-source heat pump, a gas turbine, a photovoltaic device and an energy storage device. An Improved Zebra Optimization Algorithm (IZOA) is proposed for optimizing the capacity of DES devices and the energy supply ratio of the ground-source heat pump. Using the economic cost saving rate (ECSR), pollutant emission reduction rate (PERR) and energy saving rate (ESR) as the optimization objectives, the study builds a DES configuration optimization model. By analyzing the arithmetic example of a large hotel building, the study verifies the effectiveness of the IZOA algorithm in solving the DES configuration optimization problem. This study provides useful research ideas in promoting the development of distributed energy systems, environmental protection and energy conservation.

Suggested Citation

  • Zhaoyu Qi & Shitao Peng & Peisen Wu & Ming-Lang Tseng, 2024. "Renewable Energy Distributed Energy System Optimal Configuration and Performance Analysis: Improved Zebra Optimization Algorithm," Sustainability, MDPI, vol. 16(12), pages 1-24, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5016-:d:1413503
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    References listed on IDEAS

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