Thermoeconomic and environmental optimization of geothermal water desalination plant with ejector refrigeration system. (15th December 2018)

• Record Type: Journal Article
• Authors: Petrovic, Andrija; Delibasic, Boris; Filipovic, Jovan; Petrovic, Aleksandar; Lomovic, Milos
• Is Part Of: Energy conversion and management. Volume 178(2018)
• Page Start: 65
• Page End: 77
• Publication Date: 2018-12-15
• Subjects: Water desalination plant -- Ejector refrigeration -- Multi-objective antlion algorithm -- Multi-criteria decision making; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2018.10.035
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: Comprehensive thermodynamic modeling of a water desalination plant with ejector refrigeration system. Exergy and thermoeconomic multiobjective optimization and analysis were performed. Total Investment cost, profit and total exergy destruction were considered as conflicting objectives. Optimal design point and refrigerant are obtained by decision making analysis. The influence of criteria is studied by sensitivity analysis. Abstract: In this paper, a multi-objective optimization of geothermal water desalination plant with ejector refrigeration system is proposed. The multi-objective antlion optimization algorithm is used. Six different optimization scenarios were performed with economic (total investment cost and profit) and thermodynamic (exergy destruction) objectives for refrigerants R11, R114 and R717. Multi-criteria decision making with integrated AHP and PROMETHEE II approach is executed for evaluating the most suitable design project and refrigerant. Besides economic and thermodynamic criteria, three additional environmental criteria were used: ozone depletion potential, global warming potential and toxicity. The sensitivity analysis showed that water desalination plant with R114 refrigerant and coefficient of performance 0.507 is optimal for a wide range of criteria weights. A similar result of the optimal design point is obtained in scenarios where only economic objective functions were considered during the optimization procedure. Furthermore, it is proved that R114 Pareto front is more optimal in comparison with other refrigerants.