dc.creator | Monedero Goicoechea, Iñigo Luis | es |
dc.creator | Biscarri Triviño, Félix | es |
dc.creator | León de Mora, Carlos | es |
dc.creator | Guerrero Alonso, Juan Ignacio | es |
dc.date.accessioned | 2018-07-09T09:02:30Z | |
dc.date.available | 2018-07-09T09:02:30Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Monedero Goicoechea, I.L., Biscarri Triviño, F., León de Mora, C. y Guerrero Alonso, J.I. (2012). An Expert System to Improve the Energy Efficiency of the Reaction Zone of a Petrochemical Plant. En SOFA 2012: 5th International Workshop on Soft Computing Applications (511-520), Szeged, Hungary: Springer. | |
dc.identifier.isbn | 978-3-642-33940-0 | es |
dc.identifier.issn | 2194-5357 | es |
dc.identifier.uri | https://hdl.handle.net/11441/77015 | |
dc.description.abstract | Energy is the most important cost factor in the petrochemical industry.
Thus, energy efficiency improvement is an important way to reduce these
costs and to increase predictable earnings, especially in times of high energy
price volatility. This work describes the development of an expert system for
the improvement of this efficiency of the reaction zone of a petrochemical
plant. This system has been developed after a data mining process of the variables
registered in the plant. Besides, a kernel of neural networks has been
embedded in the expert system. A graphical environment integrating the proposed
system was developed in order to test the system. With the application of
the expert system, the energy saving on the applied zone would have been about
20%. | es |
dc.description.sponsorship | Junta de Andalucía TIC-5705 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | SOFA 2012: 5th International Workshop on Soft Computing Applications (2012), p 511-520 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Energy efficiency | es |
dc.subject | Petrochemical plant | es |
dc.subject | Data mining | es |
dc.subject | Expert system | es |
dc.title | An Expert System to Improve the Energy Efficiency of the Reaction Zone of a Petrochemical Plant | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.projectID | TIC-5705 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-642-33941-7_45 | es |
dc.identifier.doi | 10.1007/978-3-642-33941-7_45 | es |
idus.format.extent | 10 | es |
dc.publication.initialPage | 511 | es |
dc.publication.endPage | 520 | es |
dc.eventtitle | SOFA 2012: 5th International Workshop on Soft Computing Applications | es |
dc.eventinstitution | Szeged, Hungary | es |
dc.relation.publicationplace | Berlín | es |
dc.contributor.funder | Junta de Andalucía | |