DocumentCode
2357943
Title
Assessment and improvement of intelligent controllers for elevator energy efficiency
Author
Hasan, Muhammad Z. ; Fink, Rainer ; Suyambu, Muthuvel Raj ; Baskaran, Manoj Kumar
Author_Institution
Eng. Technol., Texas A&M Univ., College Station, TX, USA
fYear
2012
fDate
6-8 May 2012
Firstpage
1
Lastpage
7
Abstract
In recent years, several measures are being taken to conserve power with a goal towards energy savings without degradation in performance. In this paper we develop an algorithm to achieve notable energy savings in elevator systems. Operation of an elevator can be classified into two modes-running mode and stand-by mode. We design an energy-saving elevator system capable of manipulating its speed in running mode. Speed is varied based on the load carried and acceleration based on the number of floors to travel. The total travel time of the system is to be considered for enhancing its overall performance. The algorithm is tested on varied traffic patterns: 1) Non-peak hours and 2) Peak hours. The final results are compared with constant speed elevators and tabulated. This method produces a 12.35% energy savings and 5.49% reduction in travel time during non-peak hours and 5.06% energy savings and 1.32% reduction in travel time during peak hours of traffic intensity.
Keywords
energy conservation; intelligent control; lifts; elevator system; energy efficiency; energy saving; intelligent controller; power conservation; running mode; standby mode; total travel time; traffic pattern; Acceleration; Algorithm design and analysis; Elevators; Floors; Induction motors; Traction motors; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Electro/Information Technology (EIT), 2012 IEEE International Conference on
Conference_Location
Indianapolis, IN
ISSN
2154-0357
Print_ISBN
978-1-4673-0819-9
Type
conf
DOI
10.1109/EIT.2012.6220727
Filename
6220727
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