Development of a Dimming Lighting Control System Using General Illumination and Location-Awareness Technology

Abstract

As part of ongoing research into saving lighting energy, studies on lighting control integrating location-awareness technologies have recently been increasing, but these have led to the indoor illuminance imbalance problem by controlling only the lighting adjacent to the occupant. Therefore, the purpose of this study is to develop a dimming lighting control system using general illumination and location-awareness technology by integrating general illumination and dimming technology with lighting control technology that is based on location-recognition, and to verify the effectiveness of this system. This study built a full-scale test bed to evaluate the performance of the developed technology, and derived the energy reduction rate and indoor light environment improvement rate to evaluate the performance of dimming lighting control (Case 1), dimming lighting control using location-awareness technology (Case 2), and dimming lighting control using general illumination and location-awareness technology (Case 3). The conclusions are as follows. (1) Case 3 reduces lighting energy by 47.9–64.2% as compared to Case 1, and Case 3 reduces lighting energy compared to Case 2 when there are three occupants. (2) Case 3 improves indoor light environment comfort by increasing the uniformity by 17.8–49% compared to Case 2. These results confirm the effectiveness of Case 3 proposed in this study.

Preliminary Study on the Performance Evaluation of a Light Shelf Based on Reflector Curvature

“…The performance evaluation method used in this study was based on the findings of relevant studies [19,24], and its details are as follows. We evaluated the performance of a flat light shelf and a curved light shelf to confirm the effectiveness of the curved light shelf used in this study.…”

“…Although the indoor illuminance standards in the US, Japan, and Korea differ depending on the nature of the space and the task grade, they each differentiate between the minimum allowed illumination, maximum allowed illumination, and standard allowed illumination in presenting illuminance standards. Therefore, optimal illuminance standards for indoor spaces were established as follows, based on previous studies [19]. The task grade was set to "general" to derive the optimal indoor illuminance, and the overlapping illuminance range of 500-600 lx was derived from the illuminance standards in the US, Japan, and Korea.…”

On the possibilities of applying machine learning in lighting control systems

“…Большинство работ сосредоточили свое внимание на системах управления освещением, которые определяют уровень освещенности в зависимости от вида занятий и взаимодействия с объектом или местоположением человека в пространстве [30,34]. К данному числу работ относится система управления освещенностью, которая объединила технологию общего освещения и диммирования с технологией распознавания местоположения пользователей в пространстве [26]. Вышеупомянутые исследования предложили способы, которые автоматически управляют освещением и обеспечивают равномерный уровень освещенности на основе информации о местонахождении людей в пространстве.…”

Closed Loop Control of a Series Class-E Voltage-Clamped Resonant Converter for LED Supply with Dimming Capability

“…This work is a continuation of the one published in Reference [1]. The use of systems that automatically adapt the lighting level to the actual illumination conditions allows for significant energy savings [2,3]. In this type of system, occupancy-and light-level sensors can be used to automatically deactivate artificial lighting where it is not needed or maintain the desired level of light by adjusting the electricity consumption based on the available natural light.…”