Conforto Térmico Multiusuário com Controle da Temperatura e Velocidade do Ar com Base no Voto Médio Estimado usando Controle Fuzzy e Rede sem Fio Zigbee

Abstract

In this Master’s thesis, we use a methodology that demonstrates the importance of air speed in thermal comfort around the users of an air-conditioned enclosure. For this, we used wireless sensor networks where the data of temperature, humidity and air speed traveled through the network using the Zigbee standard and a controller based on fuzzy logic performed the simulations of the settings of an air conditioner and a ceiling fan, aiming to maintain the temperature and air speed around the users of an enclosure within acceptable values to provide thermal comfort based on the Predicted Mean Vote (PMV) thermal sensation index. Two methods were used to measure the performance of the proposed methodology, the conventional method and the method with fuzzy control, for this we analyze the energy consumption of the system using the conventional method, which consists of only the functioning air conditioner and the energy consumption with the acting fuzzy control method, the air conditioner operates to provide the thermal comfort temperature around the users based on the PMV and the ceiling fan maintains the thermal comfort temperature as long as possible using of the air speed while the air conditioner is off saving energy.