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Novel Hybrid Optimization Techniques to Enhance Reliability from Reverse Osmosis Desalination Process

Author

Listed:
  • Mohammad Abdul Baseer

    (Department of Electrical Engineering, College of Engineering, Majmaah University, Al-Majmaah 11952, Saudi Arabia)

  • Venkatesan Vinoth Kumar

    (School of Information Technology, Vellore Institute of Technology University, Vellore 632014, India)

  • Ivan Izonin

    (Department of Artificial intelligence, Lviv Polytechnic National University, 79013 Lviv, Ukraine)

  • Ivanna Dronyuk

    (Faculty of Science & Technology, Jan Dlugosz University in Czestochowa, 24200 Czestochowa, Poland)

  • Athyoor Kannan Velmurugan

    (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur 522302, India)

  • Babu Swapna

    (Department of Electronics and Communication Engineering, Dr. MGR Educational and Research Institute, Chennai 600095, India)

Abstract

Water is the most important resource of the Earth and is significantly utilized for agriculture, urbanization, industry, and population. This increases the demand for water; meanwhile, the climatic condition decreases the supply of it. A rise in temperature of 1 degree Celsius might dry up 20% of renewable water resources, and to circumvent the water scarcity, it is necessary to reuse, create, and consume less water without wasting it. Water desalination is the process used to reuse the used or saline water by promptly extracting the salt or unwanted minerals and producing fresh consumable water. Based on the International Desalination Association, around 300 million people rely on desalination and the people of the Middle East region rely the most upon it. Around 7% of desalination plants are located in countries such as Saudi Arabia, Bahrain, Kuwait, and the United Arab Emirates. Reverse osmosis (RO) is the relevant desalination process in this type of area however, the conventional methods include more complexities, and hence to address this issue we proposed a novel approach known as Hybrid Capuchin and Rat swarm algorithm (HCRS) for effective water desalination technology using conventional sources and renewable energy in the middle east region. Moreover, a hybrid reverse osmosis plant model is developed for identifying renewable sources such as wind and solar energy. The proposed optimization can be used to mitigate the life cycle cost and enhances the reliability of the hybrid schemes. The experiment is conducted in a MATLAB simulator and compared the results with state-of-art works over the metrics such as relative error, system cost, and reliability. Our proposed method outperforms all the other approaches.

Suggested Citation

  • Mohammad Abdul Baseer & Venkatesan Vinoth Kumar & Ivan Izonin & Ivanna Dronyuk & Athyoor Kannan Velmurugan & Babu Swapna, 2023. "Novel Hybrid Optimization Techniques to Enhance Reliability from Reverse Osmosis Desalination Process," Energies, MDPI, vol. 16(2), pages 1-15, January.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:713-:d:1028269
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    References listed on IDEAS

    as
    1. Praveen R. P. & Mohammad Abdul Baseer & Ahmed Bilal Awan & Muhammad Zubair, 2018. "Performance Analysis and Optimization of a Parabolic Trough Solar Power Plant in the Middle East Region," Energies, MDPI, vol. 11(4), pages 1-18, March.
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    4. Saeed Alqaed & Jawed Mustafa & Fahad Awjah Almehmadi, 2021. "Design and Energy Requirements of a Photovoltaic-Thermal Powered Water Desalination Plant for the Middle East," IJERPH, MDPI, vol. 18(3), pages 1-16, January.
    5. Al-Dousari, Ali & Al-Nassar, Waleed & Al-Hemoud, Ali & Alsaleh, Abeer & Ramadan, Ashraf & Al-Dousari, Noor & Ahmed, Modi, 2019. "Solar and wind energy: Challenges and solutions in desert regions," Energy, Elsevier, vol. 176(C), pages 184-194.
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