Chemical Engineering & Technology, Vol.42, No.9, 1861-1870, 2019
Improving Energy Performance Indicators with the Help of Multivariable Linear Regression
Companies with energy management systems face difficulties in practice to determine an improvement in energy efficiency in a way that can be verified. This is due to a variety of influences on energy consumption, such as differing product portfolios, rising production volumes, and climatic influences. With the aid of multivariable linear regression analysis, the relationship between a company's electricity consumption and potential influencing factors is examined step by step. The result is a mathematical formula that is at once the energy-related baseline and the new energy performance indicator (EnPI) for electricity as an energy source.
Keywords:Energy baseline;Energy management systems;Energy performance improvement;Energy performance indicators;Multivariable linear regression analysis