Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling

This paper reports on the development of a new approach for simulating the thermal behavior of buildings that overcome the limitations of conventional heat-transfer simulation methods such as the finite difference method and the finite element method. The proposed technique uses a coarse-grain appro...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abi-Shdid, C. (author)
مؤلفون آخرون: Flood, I. (author), Issa, R. (author)
التنسيق: article
منشور في: 2004
الوصول للمادة أونلاين:http://hdl.handle.net/10725/4600
http://dx.doi.org/10.1061/(ASCE)0887-3801(2004)18:3(207)
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://ascelibrary.org/doi/abs/10.1061/(ASCE)0887-3801(2004)18:3(207)
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author Abi-Shdid, C.
author2 Flood, I.
Issa, R.
author2_role author
author
author_facet Abi-Shdid, C.
Flood, I.
Issa, R.
author_role author
dc.creator.none.fl_str_mv Abi-Shdid, C.
Flood, I.
Issa, R.
dc.date.none.fl_str_mv 2004
2016-10-14T09:32:07Z
2016-10-14T09:32:07Z
2016-10-14
dc.identifier.none.fl_str_mv 0887-3801
http://hdl.handle.net/10725/4600
http://dx.doi.org/10.1061/(ASCE)0887-3801(2004)18:3(207)
Flood, I., Issa, R. R., & Abi-Shdid, C. (2004). Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling. Journal of computing in civil engineering, 18(3), 207-214.
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://ascelibrary.org/doi/abs/10.1061/(ASCE)0887-3801(2004)18:3(207)
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv Journal of Computing in Civil Engineering
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.title.none.fl_str_mv Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description This paper reports on the development of a new approach for simulating the thermal behavior of buildings that overcome the limitations of conventional heat-transfer simulation methods such as the finite difference method and the finite element method. The proposed technique uses a coarse-grain approach to model development whereby each element represents a complete building component such as a wall, internal space, or floor. The thermal behavior of each coarse-grain element is captured using empirical modeling techniques such as artificial neural networks (ANNs). The main advantages of the approach compared to conventional simulation methods are (1) simplified model construction for the end-user; (2) simplified model reconfiguration; (3) significantly faster simulation runs (orders of magnitude faster for two- and three-dimensional models); and (4) potentially more accurate results. The paper demonstrates the viability of the approach through a number of experiments with a model of a composite wall. The approach is shown to be able to sustain highly accurate long-term simulation runs, if the coarse-grain modeling elements are implemented as ANNs. In contrast, an implementation of the coarse-grain elements using a linear model is shown to function inaccurately and erratically. The paper concludes with an identification of on-going work and future areas for development of the technique.
eu_rights_str_mv openAccess
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id LAURepo_2d2eedadfefc9e48d3652570a4bf30c7
identifier_str_mv 0887-3801
Flood, I., Issa, R. R., & Abi-Shdid, C. (2004). Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling. Journal of computing in civil engineering, 18(3), 207-214.
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oai_identifier_str oai:laur.lau.edu.lb:10725/4600
publishDate 2004
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spelling Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modelingAbi-Shdid, C.Flood, I.Issa, R.This paper reports on the development of a new approach for simulating the thermal behavior of buildings that overcome the limitations of conventional heat-transfer simulation methods such as the finite difference method and the finite element method. The proposed technique uses a coarse-grain approach to model development whereby each element represents a complete building component such as a wall, internal space, or floor. The thermal behavior of each coarse-grain element is captured using empirical modeling techniques such as artificial neural networks (ANNs). The main advantages of the approach compared to conventional simulation methods are (1) simplified model construction for the end-user; (2) simplified model reconfiguration; (3) significantly faster simulation runs (orders of magnitude faster for two- and three-dimensional models); and (4) potentially more accurate results. The paper demonstrates the viability of the approach through a number of experiments with a model of a composite wall. The approach is shown to be able to sustain highly accurate long-term simulation runs, if the coarse-grain modeling elements are implemented as ANNs. In contrast, an implementation of the coarse-grain elements using a linear model is shown to function inaccurately and erratically. The paper concludes with an identification of on-going work and future areas for development of the technique.PublishedN/A2016-10-14T09:32:07Z2016-10-14T09:32:07Z20042016-10-14Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article0887-3801http://hdl.handle.net/10725/4600http://dx.doi.org/10.1061/(ASCE)0887-3801(2004)18:3(207)Flood, I., Issa, R. R., & Abi-Shdid, C. (2004). Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling. Journal of computing in civil engineering, 18(3), 207-214.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://ascelibrary.org/doi/abs/10.1061/(ASCE)0887-3801(2004)18:3(207)enJournal of Computing in Civil Engineeringinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/46002021-03-19T10:03:23Z
spellingShingle Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
Abi-Shdid, C.
status_str publishedVersion
title Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
title_full Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
title_fullStr Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
title_full_unstemmed Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
title_short Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
title_sort Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling
url http://hdl.handle.net/10725/4600
http://dx.doi.org/10.1061/(ASCE)0887-3801(2004)18:3(207)
http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php
http://ascelibrary.org/doi/abs/10.1061/(ASCE)0887-3801(2004)18:3(207)