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
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;
Conference_Titel :
Electro/Information Technology (EIT), 2012 IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4673-0819-9
DOI :
10.1109/EIT.2012.6220727