Illuminance Control of Light Pipes and Dimmable LEDs with Artificial Neural Network
DOI: 10.14416/j.ind.tech.2023.12.002
Keywords:
Light Pipes, Dimmable LEDs, Artificial neural networkAbstract
A building’s interior lighting system is one of high energy consumption. For the energy efficiency of the lighting system, the application of both natural sources of light and artificial lighting are combined. Therefore, in the proposed technique, the cooperation of the light pipe and dimming power LEDs stand with a stable lux level. Then, light’s performance is controlled by an artificial neural network (ANN). To investigate the lighting performance of light pipe and dimming power LEDs, used as ANN training and testing set. The data for a room model area 14 m2 (3.50 m x 4.00 m), 4 light sensors, are used as inputs of the ANN. It was found that the Illumination level at 400 lux could be stable all day long even on a cloudy day with this system. The results verify that this technique is an achievable technique. Moreover, approximately 17.70% of energy saving was achieved by this controller. In this paper, according to a zone-defined priority desired maintained illumination levels at each zone.
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ผลงานวิจัยและบทความวิชาการที่ปรากฏในวารสารนี้ เป็นความคิดเห็นอิสระของผู้เขียน ผู้เขียนจะต้องเป็นผู้รับผิดชอบต่อผลทางกฎหมายใด ๆ ที่อาจจะเกิดขึ้นจากบทความนั้น กองบรรณาธิการและคณะจัดทำวารสารฯไม่จำเป็นต้องเห็นด้วยเสมอไป