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Computational Modeling of the Thermal Behavior of a Greenhouse

2021-12-13Journal article Open access
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dc.contributor.authorLebre, Bruno Miguel Carapito
dc.contributor.authorSilva, Pedro Dinho da
dc.contributor.authorPires, Luís Carlos Carvalho
dc.contributor.authorGaspar, Pedro Dinis
dc.date.accessioned2022-03-28T10:14:35Z
dc.date.available2022-03-28T10:14:35Z
dc.date.issued2021-12-13
dc.description.abstractThe need for production of all kinds of crops in high quantities and over the entire year makes the agricultural sector one of the major energy consumers. The optimization of this consumption is essential to guarantee its sustainability. The implementation of greenhouses is a strategy that allows assurance of production needs and possesses large optimization potential for the process. This article studies different greenhouse structures by computational simulation using EnergyPlus and DesignBuilder. First, a comparison was performed between the computational results and the measured values from a greenhouse prototype at different operating conditions. Overall, the comparison shows that the computational tool can provide a reasonable prediction of the greenhouse thermal behavior, depending on the differences between the weather data modeled and observed. An outdoor air temperature difference of 16 ◦C can cause a difference of about 10 ◦C between the air temperature predicted and measured inside the greenhouse. Subsequently, a selected set of case studies was developed in order to quantify their influence on the thermal performance of the greenhouse, namely: the greenhouse configuration and orientation; the variation of indoor air renewal; changes to the characteristics of the roof; the effect of the thermal mass of the walls; and location of the greenhouse. The results show that a correct greenhouse orientation, together with a polyethylene double cover with a 13 mm air layer, a granite wall of 40 cm thickness on the north wall, and variable airflow rate, may lead to a reduction of the greenhouse energy consumption by 57%, if the greenhouse is located in Lisbon, or by 43%, if it is located in Ostersund, during the harshest months of the heating season.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/app112411816pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/12117
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCentre for Mechanical and Aerospace Science and Technologies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGreenhouse Thermal Performancept_PT
dc.subjectNumerical Studypt_PT
dc.subjectEnergy Efficiencypt_PT
dc.titleComputational Modeling of the Thermal Behavior of a Greenhousept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Mechanical and Aerospace Science and Technologies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT
oaire.citation.issue24pt_PT
oaire.citation.startPage11816pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSilva
person.familyNamePires
person.familyNameGaspar
person.givenNamePedro
person.givenNameLuís
person.givenNamePedro Dinis
person.identifier974218
person.identifier.ciencia-id3C14-B985-13A1
person.identifier.ciencia-id7617-D1CB-5F80
person.identifier.ciencia-id6111-9F05-2916
person.identifier.orcid0000-0003-2204-3397
person.identifier.orcid0000-0001-7964-4623
person.identifier.orcid0000-0003-1691-1709
person.identifier.ridA-6638-2016
person.identifier.ridN-3016-2013
person.identifier.scopus-author-id7203088999
person.identifier.scopus-author-id7006556579
person.identifier.scopus-author-id57419570900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication483bd890-f402-4ce4-b740-b37febcba37f
relation.isAuthorOfPublicationb236d204-15b8-4013-927d-98133dd6ae25
relation.isAuthorOfPublicationb69e2ba0-43af-4cf7-873e-090fd9fc6c94
relation.isAuthorOfPublication.latestForDiscoveryb236d204-15b8-4013-927d-98133dd6ae25
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