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author:

Zou, H. (Zou, H..) [1] | Zhou, Y. (Zhou, Y..) [2] | Jiang, H. (Jiang, H..) [3] | Chien, S.-C. (Chien, S.-C..) [4] | Xie, L. (Xie, L..) [5] | Spanos, C.J. (Spanos, C.J..) [6]

Indexed by:

Scopus

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:

Energy efficiency; Smart lighting control; WiFi-based occupancy sensing

Community:

  • [ 1 ] [Zou, H.]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States
  • [ 2 ] [Zhou, Y.]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States
  • [ 3 ] [Jiang, H.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chien, S.-C.]Singapore Institute of Technology, Singapore
  • [ 5 ] [Xie, L.]School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
  • [ 6 ] [Spanos, C.J.]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States

Reprint 's Address:

  • [Zhou, Y.]Department of Electrical Engineering and Computer Sciences, University of CaliforniaUnited 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: 1

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