Repository logo
 
Publication

Mathematical modelling of the electric load profile of a low energy laboratory building in Spain

2017Conference object Restricted access
Simple item page
dc.contributor.authorAlamin, Y. I.
dc.contributor.authorCastilla, M.
dc.contributor.authorAlvarez, J. D.
dc.contributor.authorRuano, Antonio
dc.contributor.authorPerez, M.
dc.contributor.editorMartinez, V.
dc.contributor.editorGonzalez, J.
dc.date.accessioned2019-11-20T15:07:57Z
dc.date.available2019-11-20T15:07:57Z
dc.date.issued2017
dc.description.abstractEnergy saving and the integration of renewable energies are critical issues in Net Zero Energy Buildings (NZEB). In this context, the availability of methods for the prediction of the Electrical Load Demand (ELD) is extremely important mainly due to its relevance for an appropriate energy management, sizing of NZEB energy systems, and, especially, for the implementation of suitable energy control strategies, such as energy storage. This paper describes the development and assessment of an electricity demand short-term predictive Artificial Neural Network (ANN) model for a characteristic laboratory within an NZEB located at Almeria (Southeastern Spain). As the model is aimed to be used as part of advanced building energy control schemes, some specific requirements, as a tradeoff between accuracy and simplicity, have been considered. The work presented in this paper contains both a description of the algorithms and reference data for an appropriate development of this kind of models. Moreover, a detailed discussion of the obtained ANN model which has been validated using real data obtained from the NZEB used as case-study has been included.
dc.description.sponsorshipEU-ERDF [DPI2014-56364-C2-1-R]
dc.description.sponsorshipSpanish Ministry of Science and Innovation [DPI2014-56364-C2-1-R]
dc.description.sponsorshipERDF funds
dc.description.sponsorshipFundacion Iberdrola Espana
dc.description.sponsorshipSpanish Ramon y Cajal contract program
dc.description.sponsorshipSpanish Juan de la Cierva - Formacion contract program
dc.identifier.doi10.18086/eurosun.2016.01.20
dc.identifier.isbn978-3-9814659-6-9
dc.identifier.urihttp://hdl.handle.net/10400.1/13286
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIntl Solar Energy Soc
dc.subjectOf-The-Art
dc.subjectNeural-networks
dc.subjectComfort
dc.titleMathematical modelling of the electric load profile of a low energy laboratory building in Spain
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePalma, Spain
oaire.citation.endPage127
oaire.citation.startPage117
oaire.citation.titleProceedings of the 11th Ises Eurosun 2016 Conference
oaire.citation.title11th Ises Eurosun Conference
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccess
rcaap.typeconferenceObject
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
13286.pdf
Size:
1.2 MB
Format:
Adobe Portable Document Format
Download

Collections

FCT2-Artigos (em revistas ou actas indexadas)