Office light control moving toward automation and humanization: a literature review

ABSTRACT

This review was designed to survey the development of control technology and strategies for office light environment from 1993 to 2017 by documentary research. Search engines were applied and 100 publications were selected and analyzed with the focus on energy saving and visual comfort as well as related areas, such as control technology and strategies, shading, light sources and simulation tools. It was found that general tendency in office light control technology and strategies moves towards creating more occupant-friendly and less energy consumption convergence and remarkable progress has been made in computer- and network-based integrated light control technology. Therefore, it could be predicted that in the next decade artificial intelligence and network-based office light control technology will be further developed into a complete automatic control system. Moreover, it is likely that, with the further exploration of Big Data, light control system could be merged with other control systems in an office building, such as heating, cooling, humidity, and ventilation system, forming self-learning and self-evolution control system.

KEYWORDS:

• Lighting control visual comfort energy-saving office light environment simulation tools

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Xisheng Ding received his B.S. and M.S. degrees in Control Theory and Control Engineering from Yanshan University, china, in 2004 and 2008, respectively. He is currently pursuing Ph.D. in the School of Civil engineering, Xi’an University of Architecture and Technology, China. His research interests include Smart Buildings & Smart Controls and Smart LED Lighting Systems.

Junqi Yu received his Ph.D. in Control Science and Engineering from Xi’an Jiaotong University,China, in 2001. He was Associate Dean of the College of information and control engineering, Xi'an university of architecture and technology, China. Currently, he is Associate Dean of graduate school Xi'an university of architecture and technology. His research interests include Smart Buildings & Smart Controls and Building Energy Saving Technology.

Yifang Si received his B.S. and M.S. degrees in Information and control engineering from Xi'an University of Architecture and Technology, China, in 2005 and 2008, respectively. She is currently pursuing Ph.D. in the School of Civil engineering, Xi’an University of Architecture and Technology,China. Her research interests include Energy Control and Optimization.

Additional information

Funding

This work was supported by The National Key Research and Development Program of China: [Grant Number 2017YFC0704100].