Application of Fuzzy Logic Model to Save Energy in LED Lighting Systems in Office Spaces

In offices, the electricity spent on lighting makes up a large part of the total energy used. The most important factor that limits us to meet the lighting requirements of office workers is energy saving. It is known that office workers work more efficiently in conditions of a high level of lighting. In addition, a high level of illumination and increased energy consumption led to the need to find the optimal solution. The use of sunlight has been an important factor in saving energy in the interior lighting of buildings. Therefore, while continuing to maintain the conditions of indoor lighting at a sufficient level, it is necessary to take into account the conditions of indoor lighting using daylight and use the necessary control algorithms for this. In recent years, significant energy savings with daylight have increased the interest of professionals in this area. With the introduction of an Optimal lighting system, annual energy consumption is reduced and helps to increase the work efficiency and satisfaction of employees using artificial lighting and daylight. In this paper, the solution of the problem of daylight and artificial lighting based on the model of fuzzy logic is considered. Motion sensors are installed on tables in an office apartment made in a simulation environment. The lighting system is automatically adjusted according to the actions of users, and users are allowed to choose according to the lighting convenience options. The simulation results show that we can significantly save energy by using convenient lighting with an uncontrolled lighting system in a virtual way.