| Titolo | Optimizing the start-up operations of combined cycle power plants using soft computing methods |
|---|---|
| Tipo di pubblicazione | Articolo su Rivista peer-reviewed |
| Anno di Pubblicazione | 2012 |
| Autori | Bertini, I., De Felice Matteo, Pannicelli A., and Pizzuti S. |
| Rivista | Logic Journal of the IGPL |
| Volume | 20 |
| Paginazione | 648-656 |
| ISSN | 13670751 |
| Abstract | In this article we present a study on the application of soft computing methods for the start-up optimization of a combined cycle power plant. In particular, we use fuzzy sets in order to get a fitness function providing the effectiveness in the lattice [0, 1] (zero bad, one excellent) of the given start-up regulations. Then we applied a genetic algorithm to find the best start-up regulations. Experimentation shows that the solution found remarkably improves the solution given by the process experts. © 2011 The Author. Published by Oxford University Press. All rights reserved. |
| Note | cited By 2 |
| URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84864753313&doi=10.1093%2fjigpal%2fjzr013&partnerID=40&md5=b0631af196fa5d3f9c17adc90ebc14c6 |
| DOI | 10.1093/jigpal/jzr013 |
| Citation Key | Bertini2012648 |
