Indoor Constant Illumination Control Strategy Research Based on Natural Lighting Analysis

被引:1
作者
Ren, Jing [1 ]
Cao, Xianghong [1 ]
Li, Jiaqi [2 ]
机构
[1] Zhengzhou Univ Light Ind, Sch Bldg & Environm Engn, Henan Engn Res Ctr Intelligent Buildings & Human, 136 Sci Ave, Zhengzhou 450000, Peoples R China
[2] Henan Zheng Shang Real Estate Co Ltd, 1 Gangwan St, Zhengzhou 450000, Peoples R China
关键词
Natural lighting; intelligent lighting; BP neural network; constant illumination; control strategy;
D O I
10.1142/S0218001421590370
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Lighting energy consumption occupies a large proportion in the building electricity consumption. It cannot only save energy, but also reduce the uneven and constant illumination of the working face, which makes full use of the natural lighting and combines with the intelligent lighting control. An office building in Zhengzhou of China has been selected as an example for analyzing the climatic factors that influence building daylighting and the factors of the building itself, the illuminance of working faces in different sky models and at different times has been simulated and calculated to analyze the illuminance variation law in the direction of room depth and parallel direction of side Windows. Partition and point combined constant illumination control strategy for the lamps in different areas has been put forward and realized by BP neural network algorithm. By controlling the dimming of artificial light source and adjusting the curtain opening degree intelligently, uniform and constant illumination has been achieved. Energy saving effect in combination with natural lighting has been evaluated to prove that the control strategy cannot only maintain constant illumination in every working face but also significantly reduce the electric energy consumption and carbon dioxide emissions.
引用
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页数:22
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