Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24679
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRashad, M-
dc.contributor.authorŻabnieńska-Góra, A-
dc.contributor.authorNorman, L-
dc.contributor.authorJouhara, H-
dc.date.accessioned2022-06-09T16:20:45Z-
dc.date.available2022-06-09T16:20:45Z-
dc.date.issued2022-05-25-
dc.identifierORCID iD: Hussam Jouhara https://orcid.org/0000-0002-6910-6116-
dc.identifier124357-
dc.identifier.citationRashad, M. et al. (2022) 'Analysis of energy demand in a residential building using TRNSYS', Energy, 254 (B), 124357, pp. 1 - 11. doi: 10.1016/j.energy.2022.124357.en_US
dc.identifier.issn0360-5442-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24679-
dc.description.abstractEnergy simulations of buildings complement or replace the static calculations used so far and provide detailed answers to questions such as: what is the energy demand for individual purposes in a building and how does it change over the course of a day, a month, a year and also enable a comparison of several design variants and the selection of the optimal one in terms of energy consumption. Therefore, energy simulations of buildings help make decisions to optimise architectural and installation solutions, leading to a reduction in electricity, gas and water demand for the designed building. They indicate to what extent individual factors affect the demand for heating, cooling and electricity. The results of the analyses can be used as a basis for design and system decisions, and also provide interesting feedback to the investor. This paper focuses on the year-round analysis of a three-zone building in TRNSYS. Attention is given to the values of the heat transfer coefficients through the envelope, heating and cooling demand, the effect of heat gains/losses on the energy demand of the building and thermal comfort. The article points out that the correct determination of the energy needs of a building influences the correct choice of renewable energy source and the lowest cost of installation.en_US
dc.description.sponsorshipEuropean Union's Horizon 2020 research and innovation programme Cultural-E under grant agreement N. 870072.en_US
dc.format.extent1 - 11-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectenergy demanden_US
dc.subjectbuilding modelen_US
dc.subjectGoogleSketchUen_US
dc.subjectplug-inen_US
dc.subjectPMVen_US
dc.subjectPPDen_US
dc.subjectTRNSYS simulationen_US
dc.titleAnalysis of energy demand in a residential building using TRNSYSen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.energy.2022.124357-
dc.relation.isPartOfEnergy-
pubs.issuePart B-
pubs.publication-statusPublished-
pubs.volume254-
dc.identifier.eissn1873-6785-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).2.92 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons