Energy optimisation of parametric modeled façades
This paper examines the energy properties of parametrically modeled facades of office buildings in Belgrade climate conditions. The design of the facade was defined by the algorithm created in Dynamo, a visual programming software. Pieces of information from this algorithm are being used by Project...
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Institute of Architecture and Urban and Spatial Planning of Serbia
2020-01-01
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Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/0354-6055/2020/0354-60552050065V.pdf |
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doaj-7d6e6411a7da425490d8cf9de896d8172020-11-25T04:03:09ZsrpInstitute of Architecture and Urban and Spatial Planning of SerbiaArhitektura i Urbanizam0354-60552217-80742020-01-0120205065780354-60552050065VEnergy optimisation of parametric modeled façadesVukadinović Stevan0Univerzitet u Beogradu, Arhitektonski fakultet, SerbiaThis paper examines the energy properties of parametrically modeled facades of office buildings in Belgrade climate conditions. The design of the facade was defined by the algorithm created in Dynamo, a visual programming software. Pieces of information from this algorithm are being used by Project Refinery, so it can analyze solutions with variable size and distribution of the openings on the facade, for predefined fitness functions (solar radiation), using metaheuristic optimization method - genetic algorithm. Examining the results, the most efficient solution was chosen. The results from all of the optimizations were used to create three hypothetical models with real-life characteristics, in BIM software Revit. All models were tested in the cloud-based platform Green Building Studio for energy simulations, and the results were compared. The main task was to find the most optimal solution for the design of the facade for the office building in Belgrade climate conditions. The methodology contains an optimization of the facade using genetic algorithm, creation of the hypothetical models, numerical simulation of their energy performance and analysis of the results.https://scindeks-clanci.ceon.rs/data/pdf/0354-6055/2020/0354-60552050065V.pdfoffice buildingshypothetical modelsmulti-objective optimizationgenetic algorithmenergy-efficiencyenergy simulations |
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DOAJ |
language |
srp |
format |
Article |
sources |
DOAJ |
author |
Vukadinović Stevan |
spellingShingle |
Vukadinović Stevan Energy optimisation of parametric modeled façades Arhitektura i Urbanizam office buildings hypothetical models multi-objective optimization genetic algorithm energy-efficiency energy simulations |
author_facet |
Vukadinović Stevan |
author_sort |
Vukadinović Stevan |
title |
Energy optimisation of parametric modeled façades |
title_short |
Energy optimisation of parametric modeled façades |
title_full |
Energy optimisation of parametric modeled façades |
title_fullStr |
Energy optimisation of parametric modeled façades |
title_full_unstemmed |
Energy optimisation of parametric modeled façades |
title_sort |
energy optimisation of parametric modeled façades |
publisher |
Institute of Architecture and Urban and Spatial Planning of Serbia |
series |
Arhitektura i Urbanizam |
issn |
0354-6055 2217-8074 |
publishDate |
2020-01-01 |
description |
This paper examines the energy properties of parametrically modeled facades of office buildings in Belgrade climate conditions. The design of the facade was defined by the algorithm created in Dynamo, a visual programming software. Pieces of information from this algorithm are being used by Project Refinery, so it can analyze solutions with variable size and distribution of the openings on the facade, for predefined fitness functions (solar radiation), using metaheuristic optimization method - genetic algorithm. Examining the results, the most efficient solution was chosen. The results from all of the optimizations were used to create three hypothetical models with real-life characteristics, in BIM software Revit. All models were tested in the cloud-based platform Green Building Studio for energy simulations, and the results were compared. The main task was to find the most optimal solution for the design of the facade for the office building in Belgrade climate conditions. The methodology contains an optimization of the facade using genetic algorithm, creation of the hypothetical models, numerical simulation of their energy performance and analysis of the results. |
topic |
office buildings hypothetical models multi-objective optimization genetic algorithm energy-efficiency energy simulations |
url |
https://scindeks-clanci.ceon.rs/data/pdf/0354-6055/2020/0354-60552050065V.pdf |
work_keys_str_mv |
AT vukadinovicstevan energyoptimisationofparametricmodeledfacades |
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1724441330137956352 |