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

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

Energy, 2022, vol. 251, issue C

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.

Keywords: Photovoltaic-wind system; MILP; Water desalination; Reverse osmosis; Multi-objective optimization (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:251:y:2022:i:c:s0360544222007915

DOI: 10.1016/j.energy.2022.123888

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