Authors:
Samuele Branchetti
;
Gessica Ciaccio
;
Piero De Sabbata
;
Angelo Frascella
;
Giuseppe Nigliaccio
and
Marco Zambelli
Affiliation:
ENEA - Italian National Agency for New Technologies and Energy and Sustainable Economic Development, Italy
Keyword(s):
Energy Efficiency, Energy Saving Measures, Intelligent Models, Rule Sets, Benchmark, Self-diagnosis, Sustainable Economy, Energy Consumption Awareness.
Related
Ontology
Subjects/Areas/Topics:
Energy and Economy
;
Energy Profiling and Measurement
;
Energy-Aware Systems and Technologies
;
Optimization Techniques for Efficient Energy Consumption
Abstract:
The problem of Energy Efficiency in industry is a hot topic but companies are not still implementing, on a
mass scale, energy efficiency actions. One of the most important barriers is that companies are scarcely
aware of their consumptions and consider energy as a fixed cost and not as a resource to be managed. In this
paper it is proposed a model, based on self-analysis of consumptions, for facing this barrier. On the base of
this model, a software tool, Energy Saving and Efficiency Tool (ESET), was designed as a starting point of
an energy diagnosis path for SMEs. ESET was developed for textile/clothing sector but the model is general
and, starting from it, similar sectorial tools can be developed. The tool provides different kinds of outputs:
best practices, for helping companies to improve its own energy performances; energy efficiency indices,
compared with reference values; energy use behaviours. Particularly, best practices are selected using a
large set of rules, distilled fr
om the experience of professional energy auditors. The analysis of the accuracy
and completeness of ESET results was performed on six companies selected among all those involved in
ESET testing and application. The results of this evaluation are very encouraging.
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