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An optimization model for a mechanical vapor compression desalination plant driven by a wind/PV hybrid system

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  • Zejli, Driss
  • Ouammi, Ahmed
  • Sacile, Roberto
  • Dagdougui, Hanane
  • Elmidaoui, Azzeddine

Abstract

A renewable hybrid system to produce domestic water is presented. It consists of a photovoltaic module, a wind turbine, a mechanical vapor compression desalination plant and a storage unit. An optimization model based on a mathematical programming is developed to control the energy flows exchanged among the system components in order to satisfy the domestic water demand. The model has been solved for three specific case studies in Morocco, where two of them are located in Rabat which aim to satisfy the hourly and monthly water demand of 20 households, whereas, the last one is in Essaouira, which aims to ensure the monthly water demand of 40 households. The main motivations behind selecting these specific case studies are the evaluation of the efficiency and feasibility of such system in two coastal sites having different characteristics of renewable energy sources. The obtained results show that the domestic water demands are satisfied in each time interval at a reasonable economic cost comparable to the current average cost of water in Morocco which is about 0.7€m−3.

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  • Zejli, Driss & Ouammi, Ahmed & Sacile, Roberto & Dagdougui, Hanane & Elmidaoui, Azzeddine, 2011. "An optimization model for a mechanical vapor compression desalination plant driven by a wind/PV hybrid system," Applied Energy, Elsevier, vol. 88(11), pages 4042-4054.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:11:p:4042-4054
    DOI: 10.1016/j.apenergy.2011.04.031
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    2. Han, D. & He, W.F. & Yue, C. & Pu, W.H., 2017. "Study on desalination of zero-emission system based on mechanical vapor compression," Applied Energy, Elsevier, vol. 185(P2), pages 1490-1496.
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    6. Dubreuil, Aurelie & Assoumou, Edi & Bouckaert, Stephanie & Selosse, Sandrine & Maı¨zi, Nadia, 2013. "Water modeling in an energy optimization framework – The water-scarce middle east context," Applied Energy, Elsevier, vol. 101(C), pages 268-279.
    7. Rostamzadeh, Hadi, 2021. "A new pre-concentration scheme for brine treatment of MED-MVC desalination plants towards low-liquid discharge (LLD) with multiple self-superheating," Energy, Elsevier, vol. 225(C).
    8. Elsayed, Mohamed L. & Mesalhy, Osama & Mohammed, Ramy H. & Chow, Louis C., 2019. "Transient and thermo-economic analysis of MED-MVC desalination system," Energy, Elsevier, vol. 167(C), pages 283-296.
    9. Elsayed, Mohamed L. & Mesalhy, Osama & Mohammed, Ramy H. & Chow, Louis C., 2019. "Performance modeling of MED-MVC systems: Exergy-economic analysis," Energy, Elsevier, vol. 166(C), pages 552-568.
    10. Ariana M. Pietrasanta & Mostafa F. Shaaban & Pio A. Aguirre & Sergio F. Mussati & Mohamed A. Hamouda, 2023. "Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research," Sustainability, MDPI, vol. 15(12), pages 1-28, June.
    11. Smaoui, Mariem & Krichen, Lotfi, 2016. "Control, energy management and performance evaluation of desalination unit based renewable energies using a graphical user interface," Energy, Elsevier, vol. 114(C), pages 1187-1206.
    12. Shang, Yizi & Hei, Pengfei & Lu, Shibao & Shang, Ling & Li, Xiaofei & Wei, Yongping & Jia, Dongdong & Jiang, Dong & Ye, Yuntao & Gong, Jiaguo & Lei, Xiaohui & Hao, Mengmeng & Qiu, Yaqin & Liu, Jiahong, 2018. "China’s energy-water nexus: Assessing water conservation synergies of the total coal consumption cap strategy until 2050," Applied Energy, Elsevier, vol. 210(C), pages 643-660.
    13. Calise, Francesco & Cappiello, Francesco Liberato & Vanoli, Raffaele & Vicidomini, Maria, 2019. "Economic assessment of renewable energy systems integrating photovoltaic panels, seawater desalination and water storage," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    14. Lukač, Niko & Žlaus, Danijel & Seme, Sebastijan & Žalik, Borut & Štumberger, Gorazd, 2013. "Rating of roofs’ surfaces regarding their solar potential and suitability for PV systems, based on LiDAR data," Applied Energy, Elsevier, vol. 102(C), pages 803-812.
    15. Hossain, M.J. & Saha, T.K. & Mithulananthan, N. & Pota, H.R., 2012. "Robust control strategy for PV system integration in distribution systems," Applied Energy, Elsevier, vol. 99(C), pages 355-362.

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