Case Study: a major car manufacturer identifies 10% energy savings potential with Energiency

Revealing savings through descriptive analytics: data driven analytics of an automotive paint shop

The client, a major car manufacturer, faced a challenge in reducing its energy consumption and environmental footprint, as traditional energy efficiency projects were no longer delivering a strong return on investment. The vendor, Energiency, was engaged to address this challenge using its energy management software and a team of specialized energy efficiency coaches.

Energiency conducted a proof-of-concept in the client's paint shop, a major energy consumer. By leveraging production data to train machine learning algorithms, they created accurate gas and electricity consumption models. This data-driven approach identified a 10% energy savings potential, with half of it achievable without any capital investment. The successful POC was validated by the plant's engineering team and projected an impressive 0.3-year return on investment.