Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141215
Title: WinLight: a WiFi-based occupancy-driven lighting control system for smart building
Authors: Zou, Han
Zhou, Yuxun
Jiang, Hao
Chien, Szu-Cheng
Xie, Lihua
Spanos, Costas J.
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Zou, H., Zhou, Y., Jiang, H., Chien, S.-C., Xie, L., & Spanos, C. J. (2018). WinLight: a WiFi-based occupancy-driven lighting control system for smart building. Energy and Buildings, 158, 924-938. doi:10.1016/j.enbuild.2017.09.001
Journal: Energy and Buildings
Abstract: Artificial lighting accounts for a significant proportion (19%) of energy consumption in building environments. This large contribution calls for the creation of energy-efficient lighting control schemes. In this article, we present WinLight, a novel occupancy-driven lighting control system that aims to reduce energy consumption while simultaneously preserving the lighting comfort of occupants. By leveraging the fine-grained occupancy information estimated by existing WiFi infrastructure in a non-intrusive manner, WinLight computes an appropriate dimming command for each lamp based on a novel lighting control algorithm. A centralized lighting control system assigns these commands to a zonal gateway, and occupancy-driven lighting control is achieved by actuating the brightness adjustment with a local controller integrated within each lamp. Moreover, a WinLight App is designed to enable occupants to customize their luminance preferences and to control nearby lamps using their mobile devices. We implemented WinLight in a 1500 m2 multi-functional office in Singapore and conducted an experiment during 24 weeks. The experimental results demonstrate that WinLight achieves 93.09% and 80.27% energy savings compared to static scheduling lighting control scheme and PIR sensor based lighting control scheme while guaranteeing the personalized lighting comfort of each occupant.
URI: https://hdl.handle.net/10356/141215
ISSN: 0378-7788
DOI: 10.1016/j.enbuild.2017.09.001
Rights: © 2017 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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