Enhancing energy management of a car manufacturing plant through modelling and dynamic simulation

Jouni Savolainen, Jari Lappalainen, Antti Aikala, Pekka Ruuska

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Car manufacturing is a significant energy consumer and it is a common practice to co-produce electricity and heat on-site. Despite of the research and development already conducted in the area, many opportunities for reducing energy use exist. By developing an intelligent Energy Management System which utilizes precise monitoring of the energy production and consumption as well as predictive optimization, remarkable savings can be achieved. Fast and appropriately accurate prediction models are needed for the optimization of the energy production and consumption. This paper presents a method for developing such prediction models through the following two steps: i) detailed dynamic first principle models are developed, ii) the detailed models are used to identify and parametrise on-line prediction models. The methodology and its application to a car factory are presented.
Original languageEnglish
Title of host publicationECMS 2015 Proceedings
PublisherEuropean council for modelling and simulation ECMS
Pages259-265
ISBN (Electronic)978-0-9932440-1-8
ISBN (Print)978-0-9932440-0-1
Publication statusPublished - 2015
MoE publication typeA4 Article in a conference publication
Event29th European Conference on Modelling and Simulation, ECMS 2015 - Albena (Varna), Bulgaria
Duration: 26 May 201529 May 2015

Conference

Conference29th European Conference on Modelling and Simulation, ECMS 2015
Abbreviated titleECMS 2015
CountryBulgaria
CityAlbena (Varna)
Period26/05/1529/05/15

Fingerprint

Energy management
Railroad cars
Computer simulation
Energy management systems
Industrial plants
Electricity
Monitoring

Keywords

  • car manufacturing
  • co-generation
  • energy management
  • modelling
  • dynamic process simulation

Cite this

Savolainen, J., Lappalainen, J., Aikala, A., & Ruuska, P. (2015). Enhancing energy management of a car manufacturing plant through modelling and dynamic simulation. In ECMS 2015 Proceedings (pp. 259-265). European council for modelling and simulation ECMS.
Savolainen, Jouni ; Lappalainen, Jari ; Aikala, Antti ; Ruuska, Pekka. / Enhancing energy management of a car manufacturing plant through modelling and dynamic simulation. ECMS 2015 Proceedings . European council for modelling and simulation ECMS, 2015. pp. 259-265
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Savolainen, J, Lappalainen, J, Aikala, A & Ruuska, P 2015, Enhancing energy management of a car manufacturing plant through modelling and dynamic simulation. in ECMS 2015 Proceedings . European council for modelling and simulation ECMS, pp. 259-265, 29th European Conference on Modelling and Simulation, ECMS 2015, Albena (Varna), Bulgaria, 26/05/15.

Enhancing energy management of a car manufacturing plant through modelling and dynamic simulation. / Savolainen, Jouni; Lappalainen, Jari; Aikala, Antti; Ruuska, Pekka.

ECMS 2015 Proceedings . European council for modelling and simulation ECMS, 2015. p. 259-265.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

TY - GEN

T1 - Enhancing energy management of a car manufacturing plant through modelling and dynamic simulation

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AU - Lappalainen, Jari

AU - Aikala, Antti

AU - Ruuska, Pekka

N1 - Project : 100385

PY - 2015

Y1 - 2015

N2 - Car manufacturing is a significant energy consumer and it is a common practice to co-produce electricity and heat on-site. Despite of the research and development already conducted in the area, many opportunities for reducing energy use exist. By developing an intelligent Energy Management System which utilizes precise monitoring of the energy production and consumption as well as predictive optimization, remarkable savings can be achieved. Fast and appropriately accurate prediction models are needed for the optimization of the energy production and consumption. This paper presents a method for developing such prediction models through the following two steps: i) detailed dynamic first principle models are developed, ii) the detailed models are used to identify and parametrise on-line prediction models. The methodology and its application to a car factory are presented.

AB - Car manufacturing is a significant energy consumer and it is a common practice to co-produce electricity and heat on-site. Despite of the research and development already conducted in the area, many opportunities for reducing energy use exist. By developing an intelligent Energy Management System which utilizes precise monitoring of the energy production and consumption as well as predictive optimization, remarkable savings can be achieved. Fast and appropriately accurate prediction models are needed for the optimization of the energy production and consumption. This paper presents a method for developing such prediction models through the following two steps: i) detailed dynamic first principle models are developed, ii) the detailed models are used to identify and parametrise on-line prediction models. The methodology and its application to a car factory are presented.

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KW - co-generation

KW - energy management

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KW - dynamic process simulation

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Savolainen J, Lappalainen J, Aikala A, Ruuska P. Enhancing energy management of a car manufacturing plant through modelling and dynamic simulation. In ECMS 2015 Proceedings . European council for modelling and simulation ECMS. 2015. p. 259-265