Study of energy efficiency in the consumption pattern of the chocolate coating line

Aingura insights

Transformation Transformation
Data Acquisition Data Acquisition
Preprocessing Preprocessing


Energy Energy


Consumption Efficiency Consumption Efficiency


  • Potential Improvement in energy efficiency between 7% and 10% depending on equipment. 
  • Potential improvement in energy consumption by 15% approx. in support systems such as cooling.

Develop AI Technologies

Pattern analysis, prediction and intelligent classification


  • To explore production system consumption pattern to detect hidden electric energy consumers that are large enough to impact in the overall energy consumption.
  • To provide an advanced level of energy consumption analysis after applying traditional efficiency techniques.
  • To detect outlier situations where energy consumption is deviated from normal consumption to include them in the next version of company’s environmental and energy consumption policies.


  • Dataset size: 500 MB.
  • Number of variables: 7.
  • Sampling time: 1s.
  • Exploratory clustering algorithms (Gaussian mixtures, k- means, agglomerates) have been applied to search for atypical consumers or energy consumption deviations.
  • Multidimensional scaling techniques have been used to visually analyze these patterns.


GMM clustering anakysis

Figure 17. Consumption pattern of the food coating line.


  • A temporal analysis has also been carried out on the consumption pattern.  A deviation has been detected related to a fire in the capacitor bank a month later. This is shown in Figure 18.


Cluster 0 Cluster1


Figure 18. Temporal analysis of the consumption pattern.


  • Cluster 0 and 1 show the change in the behavior of the system from the energy point of view at the beginning of September. Cluster 1 contains all the data from that change until the fire in late October. 
  • Cluster 2 also shows other random consumption patterns that imply an increase in the average consumption of the line, which should be studied.

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