DocumentCode :
1996659
Title :
Optimal Energy Management of an improved elevator with energy storage capacity based on Dynamic Programming
Author :
Bilbao, Endika ; Barrade, Philippe ; Etxeberria-Otadui, Ion ; Rufer, Alfred ; Luri, Sergio ; Gil, Inigo
Author_Institution :
Ind. Electron. Lab., EPFL, Lausanne, Switzerland
fYear :
2012
fDate :
15-20 Sept. 2012
Firstpage :
3479
Lastpage :
3484
Abstract :
Efficiency and energy consumption reduction are becoming a key issue in elevation applications. Energy Storage Systems (ESS) can play a significant role on this field, together with their associated Energy Management System (EMS) in order to optimize the overall behavior of the elevator. This paper presents an EMS based on Dynamic Programming (DP) for a stochastic application, introducing a novel representation of these systems (General Energy and Statistical Description) and implementing a cost function based on the stock management theory. It has been implemented and validated experimentally on a real elevator with energy storage capability reducing grid power peaks by 65% and braking resistor energy losses up to 84%.
Keywords :
dynamic programming; energy management systems; energy storage; lifts; losses; resistors; stochastic processes; DP; EMS; ESS; dynamic programming; elevator; energy management system; energy storage capacity; energy storage system; optimization; resistor energy loss; stochastic application; stock management theory; Cost function; Dynamic programming; Elevators; Energy loss; Energy management; Energy storage; Resistors; Dynamic programming; elevator; energy management; energy storage; stochastic; supercapacitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4673-0802-1
Electronic_ISBN :
978-1-4673-0801-4
Type :
conf
DOI :
10.1109/ECCE.2012.6342319
Filename :
6342319
Link To Document :
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