Repository logo
 
Publication

An Economic Model-Based Predictive Control to Manage the Users' Thermal Comfort in a Building

2017-03Journal article Open access
Simple item page
dc.contributor.authorAlamin, Yaser Imad
dc.contributor.authordel Mar Castilla, Maria
dc.contributor.authorDomingo Alvarez, Jose
dc.contributor.authorRuano, Antonio
dc.date.accessioned2018-12-07T14:53:39Z
dc.date.available2018-12-07T14:53:39Z
dc.date.issued2017-03
dc.description.abstractThe goal of maintaining users' thermal comfort conditions in indoor environments may require complex regulation procedures and a proper energy management. This problem is being widely analyzed, since it has a direct effect on users' productivity. This paper presents an economic model-based predictive control (MPC) whose main strength is the use of the day-ahead price (DAP) in order to predict the energy consumption associated with the heating, ventilation and air conditioning (HVAC). In this way, the control system is able to maintain a high thermal comfort level by optimizing the use of the HVAC system and to reduce, at the same time, the energy consumption associated with it, as much as possible. Later, the performance of the proposed control system is tested through simulations with a non-linear model of a bioclimatic building room. Several simulation scenarios are considered as a test-bed. From the obtained results, it is possible to conclude that the control system has a good behavior in several situations, i.e., it can reach the users' thermal comfort for the analyzed situations, whereas the HVAC use is adjusted through the DAP; therefore, the energy savings associated with the HVAC is increased.
dc.description.sponsorshipSpanish Ministry of Science and Innovation [DPI2014-56364-C2-1-R]; EU-ERDF funds; Competitiveness and ERDF funds; Fundacion Iberdrola Espana; Portuguese Foundation for Science & Technology, through IDMEC, under LAETA [ID/EMS/50022/2013]
dc.identifier.doi10.3390/en10030321
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10400.1/11616
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI Ag
dc.subjectMultiobjective Optimization
dc.subjectEnergy-Consumption
dc.subjectNeural-Network
dc.subjectSystem
dc.subjectEfficiency
dc.subjectTime
dc.titleAn Economic Model-Based Predictive Control to Manage the Users' Thermal Comfort in a Building
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEMS%2F50022%2F2013/PT
oaire.citation.issue3
oaire.citation.startPage321
oaire.citation.titleEnergies
oaire.citation.volume10
oaire.fundingStream5876
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticle
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2
relation.isProjectOfPublication53083a92-791c-473a-8e29-3007fc4bb131
relation.isProjectOfPublication.latestForDiscovery53083a92-791c-473a-8e29-3007fc4bb131

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
An Economic Model-Based Predictive Control to Manage the Users' Thermal Comfort in a Building.pdf
Size:
1.38 MB
Format:
Adobe Portable Document Format
Download

Collections

FCT2-Artigos (em revistas ou actas indexadas)