Intelligent Optimized Control System for Energy and Comfort Management in Efficient and Sustainable Buildings

Building energy efficiency and management provides remarkable automation opportunities, which fulfills dwellers comfort index. The challenging issue of the building envelope is to save energy and achieve high comfortable environment simultaneously. In this study, control system behavioral model with its framework has been developed for smart buildings. The power consumption of the actuator system and comfort index are two control optimization objectives in the system design. Two functions utilize Multi-objective Genetic Algorithm (MOGA) to generate Pareto front, obtained from the Pareto optimal solutions for multi-dimensional problem. The acquired non-dominated solutions are significant for building energy and comfort management in informed decision-making.