Optimization of passive thermosiphon beam system with genetic algorithm

This paper presents an optimization strategy for the passive thermosiphon beam system to maintain the indoor thermal comfort and reduce the energy consumption. The terminal unit model, indoor built model and energy models of the components in the passive thermosiphon beam (PTB) system are developed respectively. To obtain the optimal operating points, the optimization problem is formulated with respect to the system constrains and components interactions. The genetic algorithm is utilized to find the optimal fresh air supply and chilled water flow rate of the PTB system. The result indicates that the optimization strategy can reduce the energy consumption of the PTB system by 9.3%.