Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Simulation-assisted Optimal Lighting Control for a Factory Building

시뮬레이션 모델을 이용한 공장 건물의 조명 최적 제어

  • Received : 2020.05.29
  • Accepted : 2020.08.19
  • Published : 2020.08.30
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Abstract

Lighting control can be categorized into open-loop and closed-loop. For the closed-loop control, illuminance sensors are generally mounted on a horizontal workplane, or the nearest wall/ceiling. As the size and complexity of an indoor space increases, the number of sensors and its corresponding control become complex because illuminance at a certain point is influenced by multiple neighboring lighting fixtures. The open-loop control is disadvantageous because it can't reflect the illuminance level of a workplane. With this in mind, the authors aim to develop an approach where lighting simulation model could predict the illuminance level at any points of interest, hereby replacing illuminance sensors, and lead to electric lighting energy savings. For this purpose, Radiance, one of the most sophisticated lighting simulation tools, was first employed for daylit and electric lighting prediction of a target building. Then, a surrogate model, ANN (Artificial Neural Network) model, was developed for fast computation and optimal control. Unknown parameters, e.g. reflectances of ceiling, floor, walls, transmittance of glass and light loss factor, were estimated. It was found that the calibrated model's prediction is accurate and the proposed approach can save lighting energy by 18.6% for three days' validation period (Mar 9-12, 2020) conducted at the target building.

Keywords

Acknowledgement

이 연구는 산업통상자원부(MOTIE)와 한국에너지기술평가원(KETEP)의 지원을 받아 수행한 연구 과제입니다. (No. 20182010106460)

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