Research Topics on Occupant-Centred Space Heating Control Systems
Traditional space heating systems typically rely on averaged or single-point temperature readings, often neglecting spatial variations within indoor environments. This oversight can cause inefficiencies in maintaining thermal comfort and unnecessary energy consumption. In response, this research introduces an occupant-centred control method that dynamically adjusts heating based on real-time occupant positioning and localized thermal conditions. By integrating advanced localization and thermal modeling, the proposed system enhances both energy efficiency and occupant comfort through intelligent feedback-based control. Adaptive Multi-Target Localization for Occupant Tracking Accurate occupant localization is central to personalized climate control. This study employs an adaptive multi-target localization method using the Density Peak Clustering (DPC) algorithm to detect real-time occupant positions. The algorithm’s strength lies in its ability to identify distinct data clusters witho...