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Optimisation of curvilinear external shading of windows in cellular offices

Shading of windows influences building cooling and heating loads through control of solar heat gains, and lighting load through access to available daylight. Shading shape thus presents an important factor both in building energy analysis and building aesthetics. Curvilinearity of solar paths sugges...

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Autores principales: Stevanović, Sanja, Stevanović, Dragan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128593/
https://www.ncbi.nlm.nih.gov/pubmed/30192845
http://dx.doi.org/10.1371/journal.pone.0203575
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author Stevanović, Sanja
Stevanović, Dragan
author_facet Stevanović, Sanja
Stevanović, Dragan
author_sort Stevanović, Sanja
collection PubMed
description Shading of windows influences building cooling and heating loads through control of solar heat gains, and lighting load through access to available daylight. Shading shape thus presents an important factor both in building energy analysis and building aesthetics. Curvilinearity of solar paths suggests that the optimal shading shape may be curvilinear as well, and our aim here is to test this expectation. To accommodate curvilinearity of shading shape, outer edges of shading, which consists of overhang, western and eastern fins, are modeled as non-uniform rational basis spline (NURBS) curves, a widely accepted representation standard for curves in design industry. As a case study, a cellular office is considered in the Pacific Northwest National Laboratory (PNNL) office building model, with its overhang lined up by seven control points, and the fins lined up by five control points each, with two ending control points joint for the overhang and the fins. With control points allowed to take on nine different alternative depths, genetic optimisation is employed for 16 representative USA climates with respect to total equivalent source energy for heating, cooling and lighting loads. The main finding is that in a very close proximity to optimal shadings found by genetic optimisation there exist shadings with much simpler control point structure, obtained by identifying depths of successive control points, that have nearly rectangular overhangs. Since the difference between these simpler shadings and the optimal ones is less than 0.24%, this partially rejects the expectation that the optimal shading shape should be curvilinear. Structure of these near-optimal shadings also suggests a new way to partition shadings into independent regions: the lower and the upper parts of the western fin, joints of the overhang with the western and the eastern fin, the interior part of the overhang and the rest of the eastern fin.
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spelling pubmed-61285932018-09-15 Optimisation of curvilinear external shading of windows in cellular offices Stevanović, Sanja Stevanović, Dragan PLoS One Research Article Shading of windows influences building cooling and heating loads through control of solar heat gains, and lighting load through access to available daylight. Shading shape thus presents an important factor both in building energy analysis and building aesthetics. Curvilinearity of solar paths suggests that the optimal shading shape may be curvilinear as well, and our aim here is to test this expectation. To accommodate curvilinearity of shading shape, outer edges of shading, which consists of overhang, western and eastern fins, are modeled as non-uniform rational basis spline (NURBS) curves, a widely accepted representation standard for curves in design industry. As a case study, a cellular office is considered in the Pacific Northwest National Laboratory (PNNL) office building model, with its overhang lined up by seven control points, and the fins lined up by five control points each, with two ending control points joint for the overhang and the fins. With control points allowed to take on nine different alternative depths, genetic optimisation is employed for 16 representative USA climates with respect to total equivalent source energy for heating, cooling and lighting loads. The main finding is that in a very close proximity to optimal shadings found by genetic optimisation there exist shadings with much simpler control point structure, obtained by identifying depths of successive control points, that have nearly rectangular overhangs. Since the difference between these simpler shadings and the optimal ones is less than 0.24%, this partially rejects the expectation that the optimal shading shape should be curvilinear. Structure of these near-optimal shadings also suggests a new way to partition shadings into independent regions: the lower and the upper parts of the western fin, joints of the overhang with the western and the eastern fin, the interior part of the overhang and the rest of the eastern fin. Public Library of Science 2018-09-07 /pmc/articles/PMC6128593/ /pubmed/30192845 http://dx.doi.org/10.1371/journal.pone.0203575 Text en © 2018 Stevanović, Stevanović http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Stevanović, Sanja
Stevanović, Dragan
Optimisation of curvilinear external shading of windows in cellular offices
title Optimisation of curvilinear external shading of windows in cellular offices
title_full Optimisation of curvilinear external shading of windows in cellular offices
title_fullStr Optimisation of curvilinear external shading of windows in cellular offices
title_full_unstemmed Optimisation of curvilinear external shading of windows in cellular offices
title_short Optimisation of curvilinear external shading of windows in cellular offices
title_sort optimisation of curvilinear external shading of windows in cellular offices
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6128593/
https://www.ncbi.nlm.nih.gov/pubmed/30192845
http://dx.doi.org/10.1371/journal.pone.0203575
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