Modeling and optimization of a stand-alone desalination plant powered by solar/wind energies based on back-up systems using a hybrid algorithm

Weiping Zhang and Akbar Maleki

Energy, 2022, vol. 254, issue PC

Abstract: An autonomous reverse osmosis desalination plant powered by photovoltaic, wind turbines, diesel generators, and energy storage systems is considered as one of the effective ways to solve the difficulty of supplying potable water and electricity demands in remote areas. Nevertheless, modeling and achieving optimal size from an economic, environmental, and reliability point of view is necessary. In this study, four stand-alone hybrid desalination plants driven by renewable energy and back-up systems are designed and modeled to solve the difficulty of supplying potable water and electricity demands in remote areas. The hybrid structure consists of photovoltaic, wind turbines, diesel generators, and energy storage systems, which is optimized based on the minimum total cost and damage to the environment and suitable reliability. The optimization problem is solved by the hybrid optimization method based on two meta-heuristic methods. To ensure the superiority of the proposed optimization method, the obtained results are compared with two well-known algorithms. To verify the model, Davarzan Town, located in Iran, is selected as a case study. The effects of reliability indexes on optimal sizing of different hybrid systems are compared in detail. The results reveal that the suggested optimization method achieves the best system design. Also, it is seen that the stand-alone desalination plant powered by solar/battery storage/diesel generator structure in different unreliability index is cheaper and cleaner than the other proposed systems.

Keywords: Stand-alone hybrid renewable energy systems; Reverse osmosis desalination; Solar/wind energy; Back-up system; Hybrid optimization algorithm (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:254:y:2022:i:pc:s0360544222012440

DOI: 10.1016/j.energy.2022.124341

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