Simulation-based optimization for an origami-shaped canopy

This study perceives the developing process of Simulation-based Optimization (SBO), using Octopus® for Grasshopper®. This investigation aimed to optimize an Origami-inspired canopy designed to admit solar radiation and daylight in transitional spaces. As optimization objectives, we employed the maxi...

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Main Authors: Caio de Carvalho Lucarelli, Joyce Correna Carlo, Andressa Carmo Pena Martinez
Format: Article
Language:Portuguese
Published: Universidade Estadual de Campinas 2020-08-01
Series:PARC: Pesquisa em Arquitetura e Construção
Subjects:
Online Access:https://periodicos.sbu.unicamp.br/ojs/index.php/parc/article/view/8658250
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spelling doaj-82ce67e509be405198d3006a97f36b632020-11-25T04:11:10ZporUniversidade Estadual de CampinasPARC: Pesquisa em Arquitetura e Construção1980-68092020-08-0111e020013e02001310.20396/parc.v11i0.865825022479Simulation-based optimization for an origami-shaped canopyCaio de Carvalho Lucarelli0https://orcid.org/0000-0001-7203-9324Joyce Correna Carlo1https://orcid.org/0000-0003-3868-0307Andressa Carmo Pena Martinez2https://orcid.org/0000-0003-4016-8767Federal University of ViçosaFederal University of ViçosaFederal University of ViçosaThis study perceives the developing process of Simulation-based Optimization (SBO), using Octopus® for Grasshopper®. This investigation aimed to optimize an Origami-inspired canopy designed to admit solar radiation and daylight in transitional spaces. As optimization objectives, we employed the maximization of Physiological Equivalent Temperature (PET) and Useful Daylight Illuminance (UDI). The method consists of shape optimization, considering the exclusion of non-robust parameters according to factorial analysis. The second step regards computational simulations for the admission of solar radiation and daylight performance within transitional spaces, followed by a comparative evaluation of the best solutions generated through the simulation process. We ran the simulations using Ladybug® and Honeybee® plugins. We simulated the canopy in three different transitional zones, which resulted in distinct shapes and performances. We adopted transitional spaces because they are neither indoor nor outdoor, and comfort standards are rarely evaluated. As the main results, the optimization generated maximum comfort of 93.75% for PET Percentage Time Comfortable and 93.8% for UDI for naturally conditioned spaces. These results denote that users are in thermal comfort for 93.75% of the time. For 93.8% of the evaluated time, illuminance levels are between 100 and 2000lx, and therefore in agreement with the recommended levels.https://periodicos.sbu.unicamp.br/ojs/index.php/parc/article/view/8658250multicriteria design optimizationtransitional spacesoctopusphysiological equivalent temperatureuseful daylight illuminance
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Caio de Carvalho Lucarelli
Joyce Correna Carlo
Andressa Carmo Pena Martinez
spellingShingle Caio de Carvalho Lucarelli
Joyce Correna Carlo
Andressa Carmo Pena Martinez
Simulation-based optimization for an origami-shaped canopy
PARC: Pesquisa em Arquitetura e Construção
multicriteria design optimization
transitional spaces
octopus
physiological equivalent temperature
useful daylight illuminance
author_facet Caio de Carvalho Lucarelli
Joyce Correna Carlo
Andressa Carmo Pena Martinez
author_sort Caio de Carvalho Lucarelli
title Simulation-based optimization for an origami-shaped canopy
title_short Simulation-based optimization for an origami-shaped canopy
title_full Simulation-based optimization for an origami-shaped canopy
title_fullStr Simulation-based optimization for an origami-shaped canopy
title_full_unstemmed Simulation-based optimization for an origami-shaped canopy
title_sort simulation-based optimization for an origami-shaped canopy
publisher Universidade Estadual de Campinas
series PARC: Pesquisa em Arquitetura e Construção
issn 1980-6809
publishDate 2020-08-01
description This study perceives the developing process of Simulation-based Optimization (SBO), using Octopus® for Grasshopper®. This investigation aimed to optimize an Origami-inspired canopy designed to admit solar radiation and daylight in transitional spaces. As optimization objectives, we employed the maximization of Physiological Equivalent Temperature (PET) and Useful Daylight Illuminance (UDI). The method consists of shape optimization, considering the exclusion of non-robust parameters according to factorial analysis. The second step regards computational simulations for the admission of solar radiation and daylight performance within transitional spaces, followed by a comparative evaluation of the best solutions generated through the simulation process. We ran the simulations using Ladybug® and Honeybee® plugins. We simulated the canopy in three different transitional zones, which resulted in distinct shapes and performances. We adopted transitional spaces because they are neither indoor nor outdoor, and comfort standards are rarely evaluated. As the main results, the optimization generated maximum comfort of 93.75% for PET Percentage Time Comfortable and 93.8% for UDI for naturally conditioned spaces. These results denote that users are in thermal comfort for 93.75% of the time. For 93.8% of the evaluated time, illuminance levels are between 100 and 2000lx, and therefore in agreement with the recommended levels.
topic multicriteria design optimization
transitional spaces
octopus
physiological equivalent temperature
useful daylight illuminance
url https://periodicos.sbu.unicamp.br/ojs/index.php/parc/article/view/8658250
work_keys_str_mv AT caiodecarvalholucarelli simulationbasedoptimizationforanorigamishapedcanopy
AT joycecorrenacarlo simulationbasedoptimizationforanorigamishapedcanopy
AT andressacarmopenamartinez simulationbasedoptimizationforanorigamishapedcanopy
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