Revealing savings through descriptive analytics: data driven analytics of an automotive paint shop
Our client, one of the major car manufacturers in the world, finds that the energy efficiency projects are not as good, ROI wise, that in the past, and wonders how to reduce energy consumption environmental footprint.
We carried out a POC on the paint shop, which is one of the main energy consumers ( €2.5 M /year). Although our client had a limited number of energy sub meters available, we took advantage of the hundreds of production related data available, to train our machine learning algorithms to create gas and electricity consumption models.
As a result, we identified a 10% energy savings potential, including 5% reachable with no investment. Our approach was confirmed by the plant engineering team and the POC was declared successful with a 0.3 y ROI.
Discover more about our solution for the industrial energy efficiency
Our offer is based on an energy management software and a dedicated team of coachs specialized in energy efficiency.