An intelligent lighting control system for individual visual comfort and energy savings in buildings

被引：2
作者：
Kar P. [1 ]
Kumar A. [2 ]
Shareef A. [3 ]
Harn K.T. [4 ]
Panda S.K. [4 ]
机构：
[1] University of Nottingham Ningbo China, Ningbo
[2] National Institute of Technology, Rourkela
[3] SmartClean Technologies, Singapore
[4] National University of Singapore, Singapore
来源：
Journal of Reliable Intelligent Environments | 2023年 / 9卷 / 04期
基金：
新加坡国家研究基金会;
关键词：
Intelligent algorithms; Smart application; Smart buildings; Visual comfort; Wireless sensor and actuator network (WSAN);
D O I：
10.1007/s40860-022-00189-y
中图分类号：
学科分类号：
摘要：
Office buildings especially workplaces are not tailor-made to meet personal indoor requirements of comfort. Therefore, it is a challenge to meet individual-level comfort in these buildings without compromising energy efficiency. This paper presents and analyzes an intelligent lighting system for the visual comfort of individuals and the energy efficiency of buildings. The proposed lighting system best uses historical user preferences, collaborative user preferences, and historical energy consumption data through a recommender systems-based intelligent algorithm to generate proffered lighting set-point and optimize energy consumption of the lighting system. The system is a wireless sensor–actuator network-based and makes use of illumination sensors and occupancy sensors, which measure the ambient light, detect the user’s presence, and controls the intensity of light on a user’s work area. The Smart Android App allows the user to modify light intensities depending on visual comfort or the activity-based needs of users. Results from the testbed show that the proposed lighting system is around 72% energy efficient than the conventional fluorescent lighting system while providing individual visual comfort to the occupants. This energy efficiency is achieved through the combined effects of using energy-efficient LED lighting system and automatic as well as manual lighting control through intelligent algorithm and smart app, respectively, used in the system. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
引用
收藏
页码：385 / 398
页数：13
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