Abstract

Thermal comfort is a variable that makes it possible to measure a person's sensation in a given environment. This variable depends on several factors: ambient temperature, relative humidity, air speed, the clothes that the person wears, and the physical activity that they are doing, among others. Given the number of measurements to be carried out, we must already speak of a sensor node for the development of a sensor that allows the measurement of variables to estimate thermal comfort. This work presents the development and calibration of a low-cost sensor node that allows the estimation of thermal comfort through the Fanger method, for which the PMV (Predicted Mean Vote) and PPD (Predicted Percentage Dissatisfied) are estimated. The development of low-cost sensors for estimating thermal comfort will allow the development of platforms to manage energy use in buildings efficiently. Finally, the experimental results of the sensor node prototype are presented and compared with standard instruments in the laboratory stage, showing the certainty of the prototype.