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Guidelines for developing efficient thermal conduction and storage models within building energy simulations

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dc.contributor.author Hillary, Jason
dc.contributor.author Walsh, Ed J.
dc.contributor.author Shah, Amip
dc.contributor.author Zhou, Rongliang
dc.contributor.author Walsh, Pat A.
dc.date.accessioned 2019-04-11T12:01:41Z
dc.date.available 2019-04-11T12:01:41Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/10344/7758
dc.description peer-reviewed en_US
dc.description.abstract Improving building energy efficiency is of paramount importance due to the large proportion of energy consumed by thermal operations. Consequently, simulating a building's environment has gained popularity for assessing thermal comfort and design. The extended timeframes and large physical scales involved necessitate compact modelling approaches. The accuracy of such simulations is of chief concern, yet there is little guidance offered on achieving accurate solutions whilst mitigating prohibitive computational costs. Therefore, the present study addresses this deficit by providing clear guidance on discretisation levels required for achieving accurate but computationally inexpensive models. This is achieved by comparing numerical models of varying discretisation levels to benchmark analytical solutions with prediction accuracy assessed and reported in terms of governing dimensionless parameters, Biot and Fourier numbers, to ensure generality of findings. Furthermore, spatial and temporal discretisation errors are separated and assessed independently. Contour plots are presented to intuitively determine the optimal discretisation levels and time-steps required to achieve accurate thermal response predictions. Simulations derived from these contour plots were tested against various building conditions with excellent agreement observed throughout. Additionally, various scenarios are highlighted where the classical single lumped capacitance model can be applied for Biot numbers much greater than 0.1 without reducing accuracy. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Energy;125, pp. 211-222
dc.relation.uri https://doi.org/10.1016/j.energy.2017.02.127
dc.rights This is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy, 2017, 125, pp. 211-222,https://doi.org/10.1016/j.energy.2017.02.127 en_US
dc.subject buildings energy models en_US
dc.subject discretisation en_US
dc.subject transient conduction en_US
dc.subject RC networks en_US
dc.subject Biot & fourier number en_US
dc.title Guidelines for developing efficient thermal conduction and storage models within building energy simulations en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1016/j.energy.2017.02.127
dc.contributor.sponsor IRC en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 2714839


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