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; Haitham Saleh

doi:10.1016/j.energy.2022.123888

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, Haitham Saleh

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

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.

Original language	English
Article number	123888
Journal	Energy
Volume	251
DOIs	https://doi.org/10.1016/j.energy.2022.123888
State	Published - 15 Jul 2022

Bibliographical note

Funding Information:
The authors thank King Fahd University of Petroleum and Minerals for providing the facilities required to conduct this study.

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

MILP
Multi-objective optimization
Photovoltaic-wind system
Reverse osmosis
Water desalination

ASJC Scopus subject areas

Civil and Structural Engineering
Modeling and Simulation
Renewable Energy, Sustainability and the Environment
Building and Construction
Fuel Technology
Energy Engineering and Power Technology
Pollution
Mechanical Engineering
Energy (all)
Management, Monitoring, Policy and Law
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.energy.2022.123888

Cite this

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

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 = "MILP, Multi-objective optimization, Photovoltaic-wind system, Reverse osmosis, Water desalination",

author = "Ghaithan, {Ahmed M.} and Awsan Mohammed and Ahmad Al-Hanbali and Attia, {Ahmed M.} and Haitham Saleh",

note = "Funding Information: The authors thank King Fahd University of Petroleum and Minerals for providing the facilities required to conduct this study. Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

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AU - Ghaithan, Ahmed M.

AU - Mohammed, Awsan

AU - Al-Hanbali, Ahmad

AU - Attia, Ahmed M.

AU - Saleh, Haitham

PY - 2022/7/15

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N2 - 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.

AB - 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.

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

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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