Online energy efficiency assessment in serial production - statistical and data mining approaches

Due to increasing energy costs and the demand to lower CO₂ emissions in the production, companies try to apply energy efficient technologies in green (new installations) and brown (modernized installation) production systems. Hence, the procedures of energy efficiency assessment have to be integrated with production systems on the machine control level. Presented work compares the energy efficiency assessment based on statistical analysis with an approach based on data mining and cluster analysis. Experimental results have shown limitations and possible application fields for both methods. Even though the presented methodology was conducted on compressed air consumption monitoring system, it can also be easily applicable for other types of consumed energy.