Fuzzy adaptive networks in thermal comfort

Adaptive Thermal Comfort and Ventilation

Adaptive Control of Thermal Comfort Using Neural Networks

In modern office buildings, the customary trend is to use state of the art technology to ensure the users find it thermally comfortable, among other variables. Among the various statistical studies on comfort index vs. work efficiency of users, the most widely adopted index is the Predicted Mean Vote (PMV). Based on this index, this work proposes a control scheme that shows the capability of ne...

Model-adaptive Analysis of Indoor Thermal Comfort

We address the model-adaptive coupling between computational codes for indoor thermal comfort analysis considering different levels of detail in space and time. Starting with a whole-year simulation, significant periods are interactively identified in terms of a coarse thermal comfort analysis. After refining these critical intervals with respect to the spatial resolution, a multi-segment manik...

Adaptive thermal comfort and sustainable thermal standards for buildings

The origin and development of the adaptive approach to thermal comfort is explained. A number of the developments in the application of the theory are considered and the origin of the differences between adaptive thermal comfort and the ‘rational’ indices is explored. The application of the adaptive approach to thermal comfort standards is considered and recommendations made as to the best comf...

Thermal comfort assessment in comfort-prone workplaces.

This paper's main issue is a strong advocacy in favour of an a priori classification of thermal environments that can be really functional to comfort assessment: Class 1, environments where comfort conditions can be established (comfort-prone environments), and Class 2, environments where this is not practically feasible. The former, which are also identified here as 'thermally unconstrained' e...