Technical Papers
Oct 23, 2018

Statistical Methods Applied to Optimize Perforated Façade Design for Daylight Availability

Publication: Journal of Architectural Engineering
Volume 25, Issue 1

Abstract

Perforated solar screens (PSS) are important to consider in building façade design because of their contribution to sustainability through daylighting. PSS façade design requires the consideration of many potential design alternatives that involve a large number of simulations. This paper presents a methodology in which the orthogonal and listing methods are integrated to predict a set of optimum PSS design variables to enhance the daylight availability in office buildings located in Seville, Spain. An orthogonal array was selected to perform a transverse comparison of the simulation factors mean effects and to find their statistical significance. Then, a standard level was fixed and used for further detailed analysis of a greater number of factor levels, measuring their daylighting contributions. The main advantage of the integrated method is the reduction of the number of simulations from 720 to 32, so the model could save considerable time and would help designers make early-design-stage decisions. With the optimization, the actual daylit area was increased by 29–57% and the overlit area was reduced by 36–57% relative to reference models with no PSS.

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Acknowledgments

The authors acknowledge the technical and financial support provided by the Institute of the Architecture and Building Science (IUACC) of the University of Seville and the National Council for Science and Technology (CONACyT) of Mexico under the Ph.D. scholarship of Doris A. Chi Pool.

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Go to Journal of Architectural Engineering
Journal of Architectural Engineering
Volume 25Issue 1March 2019

History

Received: Dec 20, 2016
Accepted: Jul 12, 2018
Published online: Oct 23, 2018
Published in print: Mar 1, 2019
Discussion open until: Mar 23, 2019

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Professor, Dept. of Architecture, Univ. de las Américas Puebla, (UDLAP), Ex Hacienda Sta. Catarina Mártir 72810, San Andrés Cholula, Puebla, México; Professor, Instituto Univ. de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura, Univ. de Sevilla, Avda. Reina Mercedes 2, Seville 41012, Spain (corresponding author). ORCID: https://orcid.org/0000-0003-1821-0164. Email: [email protected]
David Moreno, Ph.D. [email protected]
Professor, Instituto Univ. de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura, Univ. de Sevilla, Avda. Reina Mercedes 2, Seville 41012, Spain. Email: [email protected]
Jaime Navarro, Ph.D. [email protected]
Professor, Instituto Univ. de Arquitectura y Ciencias de la Construcción, Escuela Técnica Superior de Arquitectura, Univ. de Sevilla, Avda. Reina Mercedes 2, Seville 41012, Spain. Email: [email protected]

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