Developments in Coarse-Grain Modeling of Transient Heat-Flow in Buildings

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dc.contributor.author Abi-Shdid, C.
dc.contributor.author Flood, I.
dc.contributor.author Issa, R.
dc.contributor.author Kartam, N.
dc.date.accessioned 2016-10-14T09:56:17Z
dc.date.available 2016-10-14T09:56:17Z
dc.date.copyright 2007 en_US
dc.date.issued 2016-10-14
dc.identifier.issn 0887-3801 en_US
dc.identifier.uri http://hdl.handle.net/10725/4601
dc.description.abstract The note reports on recent developments to the coarse-grain method (CGM) of modeling transient heat flow in buildings. CGM was originally developed as an alternative to conventional fine-grain modeling techniques [such as the finite-difference method (FDM) and finite-element method (FEM)] to increase simulation speed to a degree that facilitates three-dimensional modeling, and to ease the tasks of model development and experimentation. Earlier work has shown that CGM can provide reasonably accurate simulations at a processing speed several orders of magnitude faster than FDM or FEM. This note describes and demonstrates refinements to the CGM approach that increase its modeling accuracy to a level comparable to FEM, while doubling its processing speed. These refinements are: (1) the use of a hybrid linear regression model with an artificial neural network (ANN) to represent each coarse-grain modeling element (the hybridization of the ANN effectively halves its complexity); and (2) a linear calibration of the ANN-based coarse-grain modeling elements to account for an observed positive bias in their predictions. The improved approach is demonstrated for a two-dimensional model of a bay in a research building located at the University of Florida. The note concludes with some suggestions for continuing research. en_US
dc.language.iso en en_US
dc.title Developments in Coarse-Grain Modeling of Transient Heat-Flow in Buildings en_US
dc.type Article en_US
dc.description.version Published en_US
dc.author.school SOE en_US
dc.author.idnumber 199431340 en_US
dc.author.department Civil Engineering en_US
dc.description.embargo N/A en_US
dc.relation.journal Journal of Computing in Civil Engineering en_US
dc.journal.volume 21 en_US
dc.journal.issue 5 en_US
dc.article.pages 379-382 en_US
dc.keywords Neural networks en_US
dc.keywords Energy consumption en_US
dc.keywords Finite element method en_US
dc.keywords Grains material en_US
dc.keywords Heat flow en_US
dc.identifier.doi http://dx.doi.org/10.1061/(ASCE)0887-3801(2007)21:5(379) en_US
dc.identifier.ctation Flood, I., Abi-Shdid, C., Issa, R. R., & Kartam, N. (2007). Developments in coarse-grain modeling of transient heat-flow in buildings. Journal of Computing in Civil Engineering, 21(5), 379-382. en_US
dc.author.email caesar.abishdid@lau.edu.lb en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url http://ascelibrary.org/doi/abs/10.1061/(ASCE)0887-3801(2007)21:5(379) en_US
dc.orcid.id https://orcid.org/0000-0002-7114-4795

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