There is an increasing number of recent studies about personalized thermal preferences
and controls in office buildings. Data collection from occupants in real buildings is necessary …

Abstract Personal Comfort Models (PCM) build on state-of-the-art methods to predict
individuals' thermal comfort responses based on occupant input and indoor environment …

In this paper we present a methodology to map individual occupants' thermal preference
votes and indoor environmental variables into personalized preference models. Our …

Previous studies show differences in thermal comfort among individual occupants and
suggest solutions that incorporate building occupants in sensing and control frameworks …

Developing personalised thermal comfort models to inform occupant-centric controls (OCC)
in buildings requires collecting large amounts of real-time occupant preference data. This …

Thermal comfort is one of the main driving factors in defining the operational settings of
HVAC systems, and it greatly impacts energy efficiency in buildings. Lack of information …

Centrally controlled heating, ventilation, and air conditioning (HVAC) systems in commercial
buildings are operated by building management systems (BMS) based on the predefined …

Occupant comfort is a dominant influence on the performance of HVAC operations. Most
HVAC system operations rely on industry standards to ensure satisfactory environmental …

Conventional indoor climate design and control approaches are based on static thermal
comfort/sensation models that view the building occupants as passive recipients of their …

Standardized methods for thermal comfort assessment already exist, namely the predicted
mean vote (PMV) and the adaptive comfort model, both valid for groups of people. To …