Objective
This project aims at decreasing the energy consumption in the fields of industry taking into account the production requirement.
Furthermore, the project enables to control the power peaks required by the consumers and more particularly the electric arc furnace that uses a lot of energy.
The control and reduction of the consumed energy bring about a decrease in the secondary electric station such as the thermal stations that are determining factors in the air pollution.
The quantity of energy consumed by an electric furnace highly depends on the quality of scrap iron. In the present state of our knowledge in the field of scrap iron; we have only pragmatic approach of the question.
The working point of an electric furnace depends on the quality of the scrap iron.
This working point will be the main input data for our pilot system equipped with neuronal network.
After the training period, the system could determine with more precision than today the electric energy and others to be used avoiding the power peaks.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectrical engineeringelectric energy
- engineering and technologyenvironmental engineeringair pollution engineering
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
You need to log in or register to use this function
Topic(s)
Call for proposal
Data not availableFunding Scheme
DEM - Demonstration contractsCoordinator
57270 Uckange
France