Abstract

TORRES NAVARRO, Carlos; MALTA CALLEGARI, Nelson  and  JARA OLAVE, Hugo. Regression models and baseline design for energy indicators in a steel company. Energética [online]. 2021, vol.42, n.1  Epub Mar 01, 2021. ISSN 1815-5901.

The objective of this research was to find regression models for four energy performance indicators for a steel company in Chile and propose a baseline for each of them. The methodological approach considered the use of the experimental design technique specified by the user of Statgraphics software, use of variance analysis and obtaining regression equations. The results allow obtaining regression equations for the energy indicators and identification of statistically significant variables in each model, in addition, proposals for baselines to support control and monitoring. The conclusions indicate that the regression equations have an acceptable correlation, greater than 77%. The use of the analysis of variances is an effective technique to identify significant variables for the indicators of energy performance and that the baselines provide an aid to monitor the energy performance indicators in a steel company with greater certainty.

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