Otimização energética por meio de gestão e controle racional de ventiladores de teto em função de métricas de conforto térmico

Abstract

The 21st century presents critical challenges for global sustainability, highlighting the relationship between the growing demand for electrical energy and its environmental impacts, especially in the construction sector, which is responsible for a significant part of greenhouse gas emissions. The extensive use of air conditioners, which consume around 20% of global electricity in buildings, worsens this scenario, leading to the need to adopt strategies to reduce energy consumption and improve thermal comfort. In Brazil, where the hot and humid climate prevails, using air speed is an effective strategy to maintain comfort and reduce energy consumption in refrigeration systems. Therefore, the objective of this research is to verify, through computer simulation, the influence of using air speed with the use of ceiling fans on energy savings in an automated building. To achieve this, EnergyPlus was used to model the building and a Python API was used, enabling efficient task automation. The aim of the programming is to make maximum use of the passive conditions of the building, always considering the comfort of users. In other words, the operating priority is the use of natural ventilation, then the use of fans in case of discomfort due to heat and the next step, activating the air conditioning and determining the setpoint necessary for comfort. With the operation of this automation, you can observe a reduction of approximately 60% in electricity consumption for conditioning, in the summer period and always maintaining user comfort.