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| Energy Saving and Efficiency Tool A sectorial decision support model for energy consumption reduction in manufacturing SMEs | |||||||||
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| Authors | Samuele Branchetti, Gessica Ciaccio, Piero De Sabbata, Angelo Frascella, Giuseppe Nigliaccio and Marco Zambelli Year 2016 | ||||||||
| Pubblication type | Poster International Conference with referee | ||||||||
| Abstract | 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. The authors of this paper have faced this problem through three projects funded by European Commission (ARTISAN, SESEC and SET), defining a methodology based on a self-analysis of consumptions, collection of data for improving benchmarks and suggestion of customised Best Practices list. | ||||||||
| Reference | Branchetti, S., Ciaccio, G., De Sabbata, P., Frascella, A., Nigliaccio, G. and Zambelli, M. Energy Saving and Efficiency Tool - A Sectorial Decision Support Model for Energy Consumption Reduction in Manufacturing SMEs. In Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2016), pages 330-339 ISBN: 978-989-758-184-7 |
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| WEB Reference | http://www.smartgreens.org/ | ||||||||
| WEB Reference 2 | http://www.em2m.enea.it | ||||||||
| Repository reference | DI456-036 | ||||||||
| Related Slides | DI456-053 | ||||||||
| Research unit | X-LAB | ||||||||
| Keywords | Energy Efficiency, Energy Saving Measures, Intelligent Models, Rule Sets, Benchmark, Self-diagnosis, Sustainable Economy, Energy Consumption Awareness |
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| LastUpdate | 21/04/2016 | ||||||||
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| impact factor | Falso |
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