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Decision Making Tool for Improving Energy Efficiency in the Industry Sector

Abstract : This presentation expose the methodology developed for the modeling of the industry sector for prospective studies. These models give a sample of results that aim at helping the stakeholders in the long term industry planning for the development of the low-carbon technology deployment. We have developed several models using the linear programming model generator TIMES. Due to the industry sector diversity of activities and depending on the level of the energy use in the processes, the industry can be divided in two big families: the energy intensive industries and the non-energy intensive ones. A big challenge is to provide a methodology to be able to represent their evolution in a mid-term to a long-term period. The Centre for Applied Mathematics had developed for a long time several models for different activities. It is involved in this research theme with EDF (French Electricity Company) to establish a frame for industry modeling with the most pertinent representation to improve industry energy efficiency by promoting low-carbon technologies. The results obtained for both energy intensive and non-energy intensive industry permit to assess the potential of integration of low carbon technologies and their effect on a mean to long term period. Some examples are presented to enlighten the potential of this kind of modeling.
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Contributor : Magalie Prudon <>
Submitted on : Tuesday, January 12, 2016 - 2:56:48 PM
Last modification on : Thursday, September 24, 2020 - 5:22:34 PM

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  • HAL Id : hal-01254620, version 1

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Gilles Guerassimoff. Decision Making Tool for Improving Energy Efficiency in the Industry Sector. EURO2015 - 27th European Conference on Operation Research, Association of European Operational Research Societies, Jul 2015, Glasgow, United Kingdom. ⟨hal-01254620⟩

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