Circuitry arrangement optimization for multi-tube phase change material heat exchanger using genetic algorithm coupled with numerical simulation

摘要: Abstract This study focused on circuitry arrangement optimization for a multi-tube phase change material heat exchanger. The approach was developed based genetic algorithm coupled with numerical simulation and aimed at maximizing the equivalent hot water output during discharging process. Validated two-dimensional three-dimensional simulations were used to support process accurately investigate thermal performance of optimal arrangement. results showed that adding more connections near outlet side exchanger could lengthen flow path in high temperature zone, which beneficial mass rate condition 1.68 kg min−1 5% increment. Under medium low rates 1.2 kg min−1 0.5 kg min−1, 3% increment 6% decrement, respectively, observed. It found different require their own arrangements, arranged rules not necessarily same. Therefore, should be performed according operating or designed range maximize effect. proposed serve as an effective way improve energy efficiency latent storage systems.