Optimization of the HVAC system design to minimize primary energy demand

•We propose an optimal design method for the HVAC system in apartment house using a genetic algorithm.•By a modified genetic algorithm called multi-island genetic algorithm, the optimal running pattern of HVAC systems is decided to minimize the energy consumption.•The proposed method is significantly capable of determining optimal system design for saving energy in apartment house. The purpose of this study is to propose an optimal design method for the HVAC system in apartment using a genetic algorithm and to examine the possibility for the energy conservation of a designed HVAC system. The energy demand for cooling and heating in apartment house is determined by using TRNSYS. By a modified genetic algorithm called multi-island genetic algorithm, the optimal running pattern of HVAC systems is decided to minimize the energy consumption. An optimal design method for the HVAC system of the apartment house was proposed using both genetic algorithm and data of cooling/heating demand load simulated by TRNSYS. It has been confirmed that energy for equipment systems in apartment house can be saved by using operation plan of HVAC systems. The results show that this proposed method is significantly capable of determining optimal system design for saving energy in apartment house. We will perform the design of HVAC system considering an initial cost, a running cost and emission of CO2, and so on in the future.