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Thermoeconomic analysis and multi-objective optimization of a novel hybrid absorption/recompression refrigeration system

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  • Razmi, Amir Reza
  • Arabkoohsar, Ahmad
  • Nami, Hossein

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.

Suggested Citation

  • Razmi, Amir Reza & Arabkoohsar, Ahmad & Nami, Hossein, 2020. "Thermoeconomic analysis and multi-objective optimization of a novel hybrid absorption/recompression refrigeration system," Energy, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:energy:v:210:y:2020:i:c:s0360544220316674
    DOI: 10.1016/j.energy.2020.118559
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