Abstract
This work describes the design of a building automation controller for indoor air quality, which is different from common control strategies. Normative strategies are focused solely on the management of ventilation rates and the reduction of pollutant concentrations. The positive effect of air movement and the negative effect of high temperatures on the perceived air quality are not considered. In this paper, we present a novel approach to design a controller based on fuzzy logic, which adapts the air movement velocity depending on the temperature. Data about the perceived indoor air quality during varying thermal conditions are used to model the fuzzy controller.