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Multi-objective optimization of a photovoltaic-wind- grid connected system to power reverse osmosis desalination plant

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  • Ghaithan, Ahmed M.
  • Mohammed, Awsan
  • Al-Hanbali, Ahmad
  • Attia, Ahmed M.
  • Saleh, Haitham

Abstract

Utilizing fossil fuel for powering desalination plants is associated with release of greenhouse gases emissions to the atmosphere. Alternately, renewable energy sources are clean and environmentally friendly. This paper develops a multi-objective model based on mixed-integer programming approach to size a grid-connected Photovoltaic-wind system. The model objectives consider the economical aspect by minimizing the total life cycle cost, and the non-economical aspects by reducing the greenhouse gas emissions and the grid contribution share. The hybrid system covers the energy demand of a Reverse Osmosis desalination plant that is used to supply fresh water to a residential area in Saudi Arabia. The model generates a set of Pareto-optima solutions from which decision-makers can choose according to their preferences. Three plans are selected from the Pareto-optima solutions to show the exchangeability between the renewable energy system and the grid. For instance, with 100 photovoltaic modules and 94 wind turbines, the system can supply 18% of the plant's energy requirements while emitting the least amount of carbon dioxide (90,899 kgCO2-eq/yr). Furthermore, the energy cost is 0.0557 $/kWh, which is less than the cost of kWh purchased from the grid. The main findings and managerial insights are analyzed from economic and environmental perspectives.

Suggested Citation

  • Ghaithan, Ahmed M. & Mohammed, Awsan & Al-Hanbali, Ahmad & Attia, Ahmed M. & Saleh, Haitham, 2022. "Multi-objective optimization of a photovoltaic-wind- grid connected system to power reverse osmosis desalination plant," Energy, Elsevier, vol. 251(C).
    • Handle: RePEc:eee:energy:v:251:y:2022:i:c:s0360544222007915
    DOI: 10.1016/j.energy.2022.123888
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    References listed on IDEAS

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    1. Pietrasanta, Ariana M. & Mussati, Sergio F. & Aguirre, Pio A. & Schmidhalter, Ignacio & Morosuk, Tatiana & Mussati, Miguel C., 2023. "Optimal sizing of seawater desalination systems using wind-solar hybrid renewable energy sources," Renewable Energy, Elsevier, vol. 215(C).
    2. Irshad, Ahmad Shah & Samadi, Wais Khan & Fazli, Agha Mohammad & Noori, Abdul Ghani & Amin, Ahmad Shah & Zakir, Mohammad Naseer & Bakhtyal, Irfan Ahmad & Karimi, Bashir Ahmad & Ludin, Gul Ahmad & Senjy, 2023. "Resilience and reliable integration of PV-wind and hydropower based 100% hybrid renewable energy system without any energy storage system for inaccessible area electrification," Energy, Elsevier, vol. 282(C).
    3. Chaoyang Chen & Hualing Liu & Yong Xiao & Fagen Zhu & Li Ding & Fuwen Yang, 2022. "Power Generation Scheduling for a Hydro-Wind-Solar Hybrid System: A Systematic Survey and Prospect," Energies, MDPI, vol. 15(22), pages 1-31, November.
    4. Anna Manowska & Artur Dylong & Bogdan Tkaczyk & Jarosław Manowski, 2023. "Analysis and Monitoring of Maximum Solar Potential for Energy Production Optimization Using Photovoltaic Panels," Energies, MDPI, vol. 17(1), pages 1-16, December.
    5. Irshad, Ahmad Shah & Ludin, Gul Ahmad & Masrur, Hasan & Ahmadi, Mikaeel & Yona, Atsushi & Mikhaylov, Alexey & Krishnan, Narayanan & Senjyu, Tomonobu, 2023. "Optimization of grid-photovoltaic and battery hybrid system with most technically efficient PV technology after the performance analysis," Renewable Energy, Elsevier, vol. 207(C), pages 714-730.

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