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