Multi-objective optimization of an automotive louvered fin-flat tube condenser for enhancing HVAC system cooling performance

作者：Shojaeefard M H; Molaeimanesh G R^*; Yarmohammadi A; Changizian S

来源：Applied Thermal Engineering, 2017, 125: 546-558.

DOI：10.1016/j.applthermaleng.2017.07.055

• Multi-objective optimization
• Genetic algorithm
• Parallel flow condenser
• Automotive HVAC system
• Thermal model
• Solar load

Nowadays, a lot of efforts have been spent to develop efficient automotive air conditioning systems satisfying passengers comfort as well as consuming the least possible energy. In this study, a coupled transient thermal model comprising refrigeration cycle and cabin has been developed for evaluating the cooling performance of the HVAC system of NP01, an Iranian sedan. After validation of model with experimental data, to enhance the performance of HVAC system the four-pass louvered fin-flat tube condenser is selected for multi-objective optimization via genetic algorithm due to its major role in the refrigeration cycle. The results show that the optimal condenser in comparison with the initial condenser experiences about 4% more heat transfer rate and 8% less pressure drop. Finally, by adopting the optimal condenser in the coupled thermal model, the coefficient of performance and cooling capacity of the evaporator was evaluated which are relatively 2.73% and 3.18% improved, respectively. Besides, with the optimal condenser the cooling process of an initially warm cabin from 60 degrees C to 17.5 degrees C is performed with about 8 min less required time.

• 出版日期2017-10