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author:

Zou, Han (Zou, Han.) [1] | Zhou, Yuxun (Zhou, Yuxun.) [2] | Jiang, Hao (Jiang, Hao.) [3] | Chien, Szu-Cheng (Chien, Szu-Cheng.) [4] | Xie, Lihua (Xie, Lihua.) [5] | Spanos, Costas J. (Spanos, Costas J..) [6]

Indexed by:

EI

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. © 2017 Elsevier B.V.

Keyword:

Control systems Dimming (lamps) Energy efficiency Energy utilization Luminance Wireless local area networks (WLAN)

Community:

  • [ 1 ] [Zou, Han]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States
  • [ 2 ] [Zhou, Yuxun]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States
  • [ 3 ] [Jiang, Hao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chien, Szu-Cheng]Singapore Institute of Technology, Singapore
  • [ 5 ] [Xie, Lihua]School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
  • [ 6 ] [Spanos, Costas J.]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States

Reprint 's Address:

  • [zhou, yuxun]department of electrical engineering and computer sciences, university of california, berkeley, united states

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Source :

Energy and Buildings

ISSN: 0378-7788

Year: 2018

Volume: 158

Page: 924-938

4 . 4 9 5

JCR@2018

6 . 6 0 0

JCR@2023

ESI HC Threshold:170

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 145

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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