Multi-objective optimal analysis of comfort and energy management for intelligent buildings

Building energy consumption and human comfort are two major but often contradictory themes in modern building management. To alleviate the contradiction between the two themes, multi-objective optimization methods are always introduced. In this paper, three indexes, thermal comfort, visual comfort and indoor air quality (IAQ) are integrated to evaluate the indoor comfort. Based on a multi-agent structure, a model including comfort function and energy function is proposed. The multi-objective genetic algorithm is used to optimize the energy and comfort targets. And the Pareto optimal solution and its sensitivity analysis are discussed under several cases.