Multicriteria Decision-Making to Determine the Optimal Energy Management Strategy of Hybrid PV–Diesel Battery-Based Desalination System

Hegazy Rezk, Basem Alamri, Mokhtar Aly, Ahmed Fathy, Abdul G. Olabi, Mohammad Ali Abdelkareem and Hamdy A. Ziedan
Additional contact information
Hegazy Rezk: College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Al-Kharj 11911, Saudi Arabia
Basem Alamri: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Mokhtar Aly: Department of Electrical Engineering, Aswan University, Aswan 81542, Egypt
Ahmed Fathy: Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka 72314, Saudi Arabia
Abdul G. Olabi: Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
Mohammad Ali Abdelkareem: Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
Hamdy A. Ziedan: Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71518, Egypt

Sustainability, 2021, vol. 13, issue 8, 1-19

Abstract: This paper identifies the best energy management strategy of hybrid photovoltaic–diesel battery-based water desalination systems in isolated regions using technical, economic and techno–economic criteria. The employed procedures include Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as tools for the solution. Twelve alternatives, containing three–four energy management strategies; four energy management strategies, load following (LF), cycle charging (CC), combined LF–CC, and predictive strategy; and three different sizes of brackish water reverse osmosis (BWRO) water desalination units, BWRO-150, BWRO-250, and BWRO-500, are investigated with capacity of 150, 250, and 500 m 3 /day, respectively. Eight attributes comprising different technical and economic metrics are considered during the evaluation procedure. HOMER Pro ® software is utilized to perform the simulation and optimization. The main findings confirmed that the best energy management strategies are predictive strategies and the reverse osmosis (RO) unit’s optimal size is RO-250. For such an option, the annual operating cost and initial costs are $4590 and $78,435, respectively, whereas the cost of energy is $0.156/kWh. The excess energy and unmet loads are 27,532 kWh and 20.3 kWh, respectively. The breakeven grid extension distance and the amount of CO 2 are 6.02 km and 14,289 kg per year, respectively. Compared with CC–RO-150, the amount of CO 2 has been sharply decreased by 61.2%.

Keywords: decision-making; CRITIC–TOPSIS; optimization; energy management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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