Volume 04: Proceedings of 11th International Conference on Applied Energy, Part 3, Sweden, 2019

Multi-Objective Optimization of Equity, Consumption and Thermal Comfort of Hvac System Based on Indoor Trajectories Xinlei Lian, Xuan Song, Haoran Zhang, Ryosuke Shibasaki


Heating, Ventilating and Air Conditioning system is leading a trend of optimization for occupant-relevant built environment energy performance. In this study, we present a new indicator, comfort equity and optimization technique to improve this occupant-related system energy performance comprehensively with the utilization of indoor trajectory data. Multi-objective particle swarm optimization algorithm is used to conduct optimal temperature setpoint solutions to optimize thermal comfort, comfort equity and energy efficiency.

Keywords Heating, Ventilating and Air Conditioning system, energy performance, equity, thermal comfort, multi-objective optimization

Copyright ©
Energy Proceedings