Study of the use of occupancy sensors in lighting controls

Pao Yue-kong Library Electronic Theses Database

Study of the use of occupancy sensors in lighting controls

 

Author: Chu, Kim-yuk Peter
Title: Study of the use of occupancy sensors in lighting controls
Degree: M.Sc.
Year: 2001
Subject: Lighting
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Building Services Engineering
Pages: vii, 148 leaves : ill. (some col.) ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1597771
URI: http://theses.lib.polyu.edu.hk/handle/200/489
Abstract: Good lighting control must be responsive to the needs of the users. Among those needs are the conveniency and the visual comfort. But the user also has economic needs for the cost effectiveness and energy efficiency of using lighting control. Artificial lighting is the second largest single item of energy expenditure in an office, accounting for about 35% of energy costs [1]. As admitted in efficient lighting design, "lighting control" has become an infrastructure for many applications in most modem buildings. Lighting controls are a method to manage lighting energy use more efficiently and to reduce lighting during unoccupied periods. The energy saving is highly dependent on times of operations and occupancy patterns in the office environment. In this project, a field study of the lighting energy savings and wasted lighting hours in different office spaces were developed. Different approaches such as lighting operation time analysis, occupancy patterns, active and passive monitoring have been studied and implemented in Chapter 4. The aim is to measure performance of these approaches and compare against actual situation. To do this, different sets of occupancy and light loggers were installed at the selected sample offices for data collection and analysis. Results of the study were used to determine a cost effective method in reducing lighting energy use. Thus, this project provides meaningful information for assessing the cost effective applications of occupancy sensor controls in offices like occupancy patterns, space types and energy savings. The analysis in Chapter 5 included a survey with total 219 questionnaires to obtain the information of different occupancies in office areas like business type, operation patterns, acceptance levels of using occupancy sensors in lighting controls and workspaces average area at different office buildings. By studying the different approaches of passive and active monitoring methods in different offices lighting, an application program like Wattstopper InteliTimer Pro was used to download the information from the occupancy & light logger to a computer for data analysis, and the Software of Computer Statistics Software SPSS was used to calculate the percentage of annual savings by using of the multiple regression method, respectively.

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