风机盘管换热器遗传算法优化设计

本研究采用了基于遗传算法和耗散理论的传热优化方法,并进行了风机盘管换热器的优化设计。在对板翅管式结构的风机盘管换热器进行建模的基础上,针对两种不同的应用工况,即供冷用干式风机盘管换热器和供暖型风机盘管换热器,进行了结构优化设计和分析。优化目标选取了换热器的耗散热阻,而设计变量分别选取管间距、排间距、换热管外径、翅片间距和翅片数。为评价换热器的性能,还计算了换热器的换热量、空气侧和水侧阻力损失、总泵功和换热器效能。优化设计结果显示,在特定的设计参数和限制条件下,不仅换热器的耗散热阻值降低,其他方面性能也得到了明显提升。

Optimization Design of the Heat Exchangers in Fan Coil Units Using Genetic Algorithm

In this study, an optimization method based on genetic algorithm and entransy dissipation theory is applied to the optimization design of the plate fin and tube heat exchangers in fan coil units. Two examples, i.e. the heat exchanger in a cooling dry fan coil unit and the heat exchanger in a heating fan coil unit, are studied and reported. Both of the two heat exchangers have plate fin and tube structure, but with different conditions and constraints. The optimization objective selected is the entransy dissipation based thermal resistance, and the design variables are the transverse tube pitch, longitudinal tube pitch, tube outside diameter, fin pitch and number of fins. To evaluate the performances of the heat exchanger, the heat transfer rate, air side and water side pressure drop, total pumping power and effectiveness are used as the evaluation index. The optimization results show that both the entransy dissipation based thermal resistance and other performances are improved, under the specific conditions in the current study.