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

A.R. Razmi*, A. Arabkoohsar*, H. Nami

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review


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.
Original languageEnglish
Article number118559
Publication statusPublished - Nov 2020
Externally publishedYes


  • ANN
  • Absorption/recompression refrigeration cycle
  • Artificial neural network
  • Multi-objective optimization
  • Sustainability index
  • Thermodynamic and thermoeconomic analysis


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