Adaptive Fuzzy Logic Control for Enhancing Energy Efficiency in Smart Office Systems

This research presents the development of an adaptive control system to optimize electrical energy consumption in a smart office environment integrated with microgrids and solar energy. A primary challenge in building automation systems is balancing energy efficiency with occupant comfort amidst dynamic environmental conditions. Therefore, an adaptive control algorithm based on Mamdani-type fuzzy logic is implemented to automatically regulate output loads for air conditioning (AC) and lighting intensity. The system’s input variables include room temperature, light intensity, and occupancy status. Experimental results demonstrate that the fuzzy controller can respond smoothly to environmental parameter changes, avoiding sudden fluctuations in the actuators. Based on energy-efficiency analysis during operational hours of 07:00 – 17:00, the proposed system successfully reduced energy consumption from 1.162 kWh to 0.982 kWh. This achievement is equivalent to a daily energy saving of 17.90%. This study confirms that integrating adaptive control with microgrid technology not only ensures thermal and visual comfort but also significantly contributes to energy conservation in modern buildings.