DocumentCode
637899
Title
Energy optimization of public service escalators
Author
Nefield, Kiang Chung Chau ; Siu Lau Ho
fYear
2012
fDate
18-21 Nov. 2012
Firstpage
1
Lastpage
6
Abstract
This paper is to present the results on the new application of variable speed drive using the in-situ data measured by in-fibre fibre Bragg grating (FBG) sensor for energy optimization of an escalator. It also reports the promising potential of this technique for future development of public service escalators. This paper consists of two parts. The first part reviews the existing energy efficient technologies for escalator operation including auto two speed operation, auto on/off operation, and the variable torque operation in which the motor voltage is controlled in order to provide a minimal driving torque when there passenger load on the escalator is light. This operation mode improves the power factor of the motor while maintaining constant speed operation. The second part of the paper presents the proposed new variable speed operation in that the speed of an escalator is adjusted in response to varying escalator loading demand. This operation mode is designed based on the operational characteristics of railway system in which the train´s headway and hence the escalator passenger flow is different at different times of a day.
Keywords
Bragg gratings; energy conservation; fibre optic sensors; motor drives; optimisation; power factor; railway electrification; variable speed drives; FBG; auto on-off operation; auto-two speed operation; constant speed operation; data measurement; energy efficient technology; energy optimization; in-fibre fibre Bragg grating sensor; minimal driving torque; motor voltage control; power factor improvement; public service escalator passenger flow; railway system; train headway; variable speed drive; variable torque operation;
fLanguage
English
Publisher
iet
Conference_Titel
Advances in Power System Control, Operation and Management (APSCOM 2012), 9th IET International Conference on
Conference_Location
Hong Kong
Electronic_ISBN
978-1-84919-743-4
Type
conf
DOI
10.1049/cp.2012.2147
Filename
6615057
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