Even if energy efficiency represents a crucial issue for the sustainability of the manufacturing industry, the companies need to be encouraged in investing their resources for this goal. One of the means to facilitate this effort is the comparison of the energy performances with similar factories. Nevertheless, since the enterprises are very heterogeneous, these performance values have, even within a specified manufacturing sector, a high variability and therefore risk not to be representative. The dispersion of these data has to be decisively decreased. This goal is pursued here by means of an energy consumption characterization model based on: 1. a self-analysis software tool collecting energy consumption data in a simple and homogeneous way; 2. the clustering of the factories; 3. the separation of the auxiliary energy uses from the production process energy consumption. The method is here applied to textile industry with a focus on the electrical consumption in yarn factories. The outcomes show a correlation with some production variables, such as the raw materials, and allow to reduce the relative errors of the energy performances of different factories from about 80% to about 25-40%. In this way, energy reference indicators can be built in an acceptable and representative way.
|Titolo:||Energy consumption characterization based on a self-analysis tool: A case study in yarn manufacturing|
|Data di pubblicazione:||2019|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|