Title :
Multi-objective optimal analysis of comfort and energy management for intelligent buildings
Author :
Nan Wang ; Fang Fang ; Meifang Feng
Author_Institution :
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fDate :
May 31 2014-June 2 2014
Abstract :
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.
Keywords :
building management systems; electrical engineering computing; energy management systems; genetic algorithms; multi-agent systems; IAQ; Pareto optimal solution; building energy consumption; comfort function; energy function; energy management; human comfort; indoor air quality; indoor comfort; intelligent buildings; multiagent structure; multiobjective genetic algorithm; multiobjective optimal analysis; sensitivity analysis; thermal comfort; visual comfort; Buildings; Energy consumption; Indexes; Indoor environments; Linear programming; Mathematical model; Visualization; Energy and comfort management; Intelligent building; Multi-agent system; Multi-objective optimization;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852646
