Data science to the rescue
In the context of steelmaking, power on time is the time during which the EAF is using electrical energy to melt the steel. The lower the power on time, the higher the productivity of the furnace.
The nCOOP (Energy Consumption Optimization) project started at Vallourec Star in Youngstown at the end of 2018. Its goal was to boost the furnace's productivity by decreasing, on the one hand, power on time, and on the other hand, its variability. It relies on big data, one of the three pillars of industry 4.0 at Vallourec. Using data science allows us to quickly solve complex problems while using significantly fewer resources compared to traditional techniques.
Last November, Vallourec Star provided 30Gb of data for the implementation of the project. After a data exploration phase, a model was constructed in February-March 2019. We use a software developed internally which can provide in real time the data needed to run the model – in short, a platform that enables industry 4.0. Today, we are seeing the first encouraging results of the nCOOP project. It will permit significant savings, both financial and environmental. On the long term, this technology will also be implemented at the EAF in Jeceaba.