Collective comfort optimization in multi-occupancy environments by leveraging personal comfort models and thermal distribution patterns

摘要: Buildings with shared spaces present a unique challenge for maintaining thermal comfort due to their dynamic occupancy patterns and the potential for wide variation in occupant thermal preferences and tolerances. Conventional approaches aim to achieve relatively uniform temperature conditions throughout a space, which implies that the thermal environment will likely be suboptimal for many of the individual occupants. Recent research efforts have integrated personal comfort models with heating, ventilation and air conditioning (HVAC) controls and have shown promising improvements by taking a highly individualistic approach to evaluating thermal comfort and adjusting HVAC operations accordingly. In this work, we aim to further advance occupant-centric controls by evaluating the benefits that could be gained by explicitly influencing and leveraging the development of non-uniform thermal conditions within a …