Intelligent lighting control system for energy savings in office building
Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function o...
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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/7200/1/J14060_76d5c75f2cfc2c63c2df4ebb9b1970f3.pdf http://eprints.uthm.edu.my/7200/ https://doi.org/10.11591/ijeecs.v11.i1.pp195-202 |
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| 要約: | Lighting system is a crucial sub-system and consumes substantial electricity
energy in the buildings. This paper proposes an intelligent lighting control
system using artificial neural network (ANN). The minimization of dimming
levels of luminaires has been considered as an objective function of the
controller. Moreover, the light sensor field of view is also taken into
consideration in objective function formulation. The proposed ANN
controller has been tested on an actual office room of the Department of
Mechanical Technology, Institute of Industrial Training, Selandar, Melaka,
Malaysia. The simulation has been carried out using DIALux simulation
lighting software. Based on the results, the proposed controller showed great
performance in terms of adaptive less light sensor data and achieving
dimming levels target that complies the European Standard EN12464-1.
Furthermore, it can save energy up to 34%. |
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