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.
|Title of host publication||ECMS 2015 Proceedings|
|Publisher||European council for modelling and simulation ECMS|
|Publication status||Published - 2015|
|MoE publication type||A4 Article in a conference publication|
|Event||29th European Conference on Modelling and Simulation, ECMS 2015 - Albena (Varna), Bulgaria|
Duration: 26 May 2015 → 29 May 2015
|Conference||29th European Conference on Modelling and Simulation, ECMS 2015|
|Abbreviated title||ECMS 2015|
|Period||26/05/15 → 29/05/15|
- car manufacturing
- energy management
- dynamic process simulation
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.