Exergy-economic based multi-objective optimization and carbon footprint analysis of solar thermal refrigeration systems

被引:0
|
作者
Emami, Amin Motevali [1 ]
Baniasadi, Ehsan [1 ,2 ]
Rezk, Ahmed [2 ]
机构
[1] Univ Isfahan, Fac Engn, Dept Mech Engn, Hezar Jerib Ave, Esfahan 8174673441, Iran
[2] Aston Univ, Coll Engn & Phys Sci, Mech Biomed & Design Engn Dept MBDE, Birmingham B4 7ET, England
基金
英国工程与自然科学研究理事会;
关键词
Solar thermal energy; Liquid absorption; Solid adsorption; Solid desiccant; Optimization; Genetic algorithm; Carbon footprint; THERMODYNAMIC ANALYSIS; COOLING SYSTEMS; BUILDINGS; CYCLE;
D O I
10.1016/j.csite.2024.105425
中图分类号
O414.1 [热力学];
学科分类号
摘要
The increasing carbon footprint associated with conventional cooling methods underscores the urgent need for sustainable alternatives. This study investigates the economic and environmental advantages of various solar-thermal cooling systems, with a focus on optimizing their performance across different climate conditions. Employing a multi-objective approach, the research emphasizes exergy-economic indices to optimize selected cycles. The analysis covers multiple refrigeration technologies, including liquid absorption, solid adsorption, and solid desiccant cycles. Results indicate that the liquid absorption cycle performs optimally in hot, arid climates, reducing the payback period to approximately 8 years when optimized. In hot and humid regions, the solid desiccant cycle proves most effective due to its superior humidity control, yielding a payback period of 5.3 years. For cold and mountainous areas, the solid adsorption cycle is preferred, with a payback period of 13.5 years, while moderate and humid climates benefit from the solid desiccant cycle for both cooling and humidity regulation. The exergy-economic factors for the solar refrigeration systems across semi-arid, hot and arid, hot and humid, cold and mountainous, and moderate and humid climates are 0.758, 0.602, 0.698, 0.74, and 0.575, respectively.
引用
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页数:30
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