Workshop on Energy Performance Indicators and Regression Analysis

On behalf of Magna International, a training workshop on Energy Performance Indicators (EnPI) and regression analysis was held in English for over 60 international participants with sites in Europe and Asia. The respective energy managers and members of energy teams were taught the following contents during a three-hour workshop:

  • Normative foundations and targets for energy performance indicators
  • Challenges in choosing significant EnPIs & difference between classical Energy Performance Indicators vs. regression analysis
  • A practical procedure for regression analysis
  • Step-by-step calculation of a practical example for “extended ENPIs” using regression analysis

Since the requirements for the proof of continuous improvement are becoming increasingly strict, especially in the course of ISO 50001:2018, (energy efficiency) savings can generally no longer be represented in a generalized manner using classic key figures, for example, kWh/kg. To be able to consider several influencing factors on energy consumption at the same time, the use of regression analysis is necessary. The principle of the statistical calculation model is shown in figure 1 below.

Figure 1: Principle of the regression analysis