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

Mohammadali Kiehbadroudinezhad, Adel Merabet and Homa Hosseinzadeh-Bandbafha
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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

Energies, 2021, vol. 14, issue 13, 1-20

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.

Keywords: wind energy; cumulative exergy demand; reliability; optimization; division algorithm; desalination (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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