Development of an Energy Saving Lighting Control System based on an Inverse Problem Solving for Light Diming

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  • Kitagami Shinji
    Information Technology R&D Center, Mitsubishi Electric Corporation Graduate School of Information Sciences, Tohoku University
  • Kaneko Yosuke
    Information Technology R&D Center, Mitsubishi Electric Corporation
  • Abe Toru
    Cyberscience Center, Tohoku University Graduate School of Information Sciences, Tohoku University
  • Koizumi Hisao
    School of Science and Engineering, Tokyo Denki University
  • Suganuma Takuo
    Cyberscience Center, Tohoku University Graduate School of Information Sciences, Tohoku University

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  • 調光逆問題解法に基づく照明省エネ制御システムの開発
  • チョウコウ ギャクモンダイカイホウ ニ モトズク ショウメイ ショウエネ セイギョ システム ノ カイハツ

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Abstract

In a typical office building, the energy-saving of lighting is an important problem because the lighting accounts for 40% of the total electric power consumption in the entire building. However, the lighting affects the amenity of an office space, and inappropriate energy-saving of the lighting decreases the productivity of office workers. Therefore, a lighting control system for the office building must achieve the appropriate energy-saving based on careful and accurate control of light dimming. This paper proposes a lighting control method, which saves the power consumption of lighting with keeping the accuracy in light dimming. In the proposed method, to control the lighting optimally, the lighting influence matrix, which associates the dimming rate pattern of light sources with the illuminance distribution on desks in an office space, is introduced, and a dimming inverse problem is solved by using this matrix. The dimming rate pattern obtained by the proposed method can minimize the power consumption of lighting while maintaining the target illuminance in the area where the office workers seat themselves at their desks. We implemented an energy saving lighting control system based on the proposed method and carried out evaluation experiments by applying this system to an actual office space. Experimental results show that the proposed method increases the evaluation index, which combines energy-saving ratio and dimming accuracy, by 9% compared to conventional energy-saving operations.

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