Designing a new intelligent control system for ventilation of buildings to reduce energy dissipation

Today, energy consumption is on the rise due to population growth, growing human needs, and rising global temperatures. One of the major consumers of energy is buildings with an infrastructure of more than 2,000 square meters. Therefore, reducing energy consumption in buildings should be given much attention. In other words, the purpose of this paper is to control the cooling system in summer and to control the heating system in winter so that the current temperature and humidity of the room are taken into account.

In this study, fuzzy logic control for building air conditioning system to increase energy efficiency and provide a comfortable environment has been investigated. A theoretical model is extracted from the fan coil unit and the heat transfer between the air and the cooling fluid. The control variables are room temperature and relative humidity and control results, the percentage of cooled and heated water flow rate in summer and the percentage of hot water flow rate and injection steam in winter.

In this study, we found that by using an intelligent controller and compatible with the fuzzy system, up to 90% of energy loss can be prevented.

Fuzzy control results are compared with conventional proportional-integral-derivative control. Fuzzy controllers are proven to be more efficient and consume less energy than PID controls.