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Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration

Author

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  • Mohammadali Kiehbadroudinezhad

    (Division of Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada)

  • Adel Merabet

    (Division of Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada)

  • Homa Hosseinzadeh-Bandbafha

    (Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj 77871-31587, Iran)

Abstract

This study investigates the use of division algorithms to optimize the size of a desalination system integrated with a microgrid based on a wind turbine plant and the battery storage to supply freshwater based on cost, reliability, and energy losses. Cumulative exergy demand is used to identify and minimize the energy losses in the optimized system. Division algorithms are used to overcome the drawback of low convergence speed encountered by the well-known method genetic algorithm. The findings indicated that there is a positive relationship between cost, cumulative exergy, and reliability. More specifically, when the loss of power supply probability is 10%, compared to when it is 0%, the total cumulative exergy demand and total life cycle cost are reduced by 34.76% when the battery is full and 45.44% when the battery is empty and there is a 44.43% decrease in total life cycle cost, respectively. However, the more reliable system, the less exergy is lost during the production of 1 m 3 freshwater by desalination integrated into wind turbine plant.

Suggested Citation

  • Mohammadali Kiehbadroudinezhad & Adel Merabet & Homa Hosseinzadeh-Bandbafha, 2021. "Optimization of Wind Energy Battery Storage Microgrid by Division Algorithm Considering Cumulative Exergy Demand for Power-Water Cogeneration," Energies, MDPI, vol. 14(13), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3777-:d:580816
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    References listed on IDEAS

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    Cited by:

    1. Mohammadali Kiehbadroudinezhad & Adel Merabet & Ahmed G. Abo-Khalil & Tareq Salameh & Chaouki Ghenai, 2022. "Intelligent and Optimized Microgrids for Future Supply Power from Renewable Energy Resources: A Review," Energies, MDPI, vol. 15(9), pages 1-21, May.
    2. Hale Bakır & Adel Merabet & Mohammadali Kiehbadroudinezhad, 2023. "Optimized Control of a Hybrid Water Pumping System Integrated with Solar Photovoltaic and Battery Storage: Towards Sustainable and Green Water-Power Supply," Energies, MDPI, vol. 16(13), pages 1-16, July.
    3. Kiehbadroudinezhad, Mohammadali & Hosseinzadeh-Bandbafha, Homa & Varjani, Sunita & Wang, Yajing & Peng, Wanxi & Pan, Junting & Aghbashlo, Mortaza & Tabatabaei, Meisam, 2023. "Marine shell-based biorefinery: A sustainable solution for aquaculture waste valorization," Renewable Energy, Elsevier, vol. 206(C), pages 623-634.
    4. Mohammadali Kiehbadroudinezhad & Adel Merabet & Homa Hosseinzadeh-Bandbafha, 2022. "Review of Latest Advances and Prospects of Energy Storage Systems: Considering Economic, Reliability, Sizing, and Environmental Impacts Approach," Clean Technol., MDPI, vol. 4(2), pages 1-25, June.

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