Thermoeconomic analysis and multi-objective optimization of a novel hybrid absorption/recompression refrigeration system
Amir Reza Razmi,
Ahmad Arabkoohsar and
Hossein Nami
Energy, 2020, vol. 210, issue C
Abstract:
In the present article, thermodynamic, exergoeconomic, economic, and sustainability investigations of a recently developed environmentally friendly hybrid absorption/recompression refrigeration cycle is proposed to evaluate its feasibility for decision making and marketing. The proposed system is a novel hybridization of the conventional vapor compression and absorption cycles, wherein a booster compressor has been used between the generator and condenser of the single-effect absorption cycle to improve its performance. Also, two separate multi-objective optimization models are developed using a combination of the nondominated-storing-genetic algorithm (NSGA-II) and artificial neural network (ANN) to address the optimum performance values concerning the objective functions. The obtained results approve that the proposed cycle is a promising concept from both thermodynamic and economic viewpoints. The results indicate that the system presents a coefficient of performance and exergy efficiency of 4.88 and 37.43% under the optimum working conditions. The overall rate of exergy destruction of the system is 20.23 kW, and a sustainability index of around 1.53 can be achieved at a cooling capacity of 150 kW. The economic results indicate that the reference system has a payback period of 4.17 years, which is reduced to less than 4 years after doing the optimizations.
Keywords: Thermodynamic and thermoeconomic analysis; Absorption/recompression refrigeration cycle; Sustainability index; Artificial neural network; Multi-objective optimization; ANN; NSGA-II (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (14)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:210:y:2020:i:c:s0360544220316674
DOI: 10.1016/j.energy.2020.118559
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