A Multi-objective Optimization Strategy for Building Energy Performance Based on Adaptive Thermal Comfort Considering Different Climatic Conditions

The heating, ventilation, and air-conditioning (HVAC) systems can affect indoor thermal comfort and building energy efficiency significantly. However, previous approaches lead to high energy costs Thus, this paper proposes an optimization strategy for HV AC systems to decline energy consumption while ensuring adaptive thermal comfort in different climate regions. In this paper, we create two different usage building models. NSGA- II is executed within the MATLAB environment to tackle the optimization process that couples supply air velocity and temperature setpoints. The proposed optimization strategy defined adaptive indoor thermal comfort boundary and decreased energy consumption significantly of the HVAC system compared to the conventional control strategy. It is found through investigations that the proposed strategy can effectively reduce energy consumption by up to 15.92% compared to mixed-mode ventilation. Results also establish that the proposed strategy is more effective in office buildings and colder areas. Simulation results verify the validity of the strategy.