ENERGY CONSUMPTION MODEL FOR SIDERURGY

Project facts

Project promoter:
ARCELORMITTAL ESPAÑA SA
Project Number:
ES02-0163
Target groups
Small and medium-sized enterprises (SME)
Status:
Completed
Initial project cost:
€307,333
Final project cost:
€268,018
From EEA Grants:
€ 33,908
The project is carried out in:
Asturias

Description

Currently the consumption of energy in the steel industry is very high. There is also a lack of information about the different levels of consumption in the industry. It is therefore necessary to increase the energy consumption knowledge and establish ways for detecting energy saving opportunities. the ExCeSS project aims to increase energy efficiency in the steel industry by a combination of new add-on service model solutions and innovative process technologies. ArcelorMittal will develop models that will be used for strategic planning and optimization of industrial processes, as well as design and integration of new processes and solutions. The development of a control model for the gas injection to optimize the heating process will avoid manual work that is currently based on the experience of the operator, which can result in errors and excessive energy consumption. A model for energy consumption of cold rolling process will allow for the optimization of all influencing parameters and factors. The implementation of the project will result in increased energy efficiency, which will also mean a substantial reduction in energy costs.

Summary of project results

The energy consumption at steel plant stays at a macroscopic level, with no clear view of the different levels of consumptions through the line of production. An electrical model forecasting tool will help to establish ways for detecting saving opportunities. The project focused on the development of an off-line basic electrical energy model to help calculate the energy consumption by decomposing each process. This has significantly reduced energy consumption of rolling processes and lead to a better understanding and control of operating parameters, significantly improving the energy efficiency of the process. The project resulted in the creation of advanced tools for different processes that will help to obtain substantial energy savings in gas consumption and the optimization of all factors influencing energy consumption; a control model of the temperature and gas injection; and a ,odel for power consumption of cold rolling processes.

Summary of bilateral results