Opening Design using Bayesian Optimization
Background: Opening design is a major consideration in architectural buildings during early structural layout specification. Decisions regarding the geometric characteristics of windows, skylights, hatches, etc., greatly impact the overall energy efficiency, airflow and appearance of a building, bot...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-12-01
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| Series: | Virtual Reality & Intelligent Hardware |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096579623000256 |
| _version_ | 1797377836992954368 |
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| author | Nick Vitsas Iordanis Evangelou Georgios Papaioannou Anastasios Gkaravelis |
| author_facet | Nick Vitsas Iordanis Evangelou Georgios Papaioannou Anastasios Gkaravelis |
| author_sort | Nick Vitsas |
| collection | DOAJ |
| description | Background: Opening design is a major consideration in architectural buildings during early structural layout specification. Decisions regarding the geometric characteristics of windows, skylights, hatches, etc., greatly impact the overall energy efficiency, airflow and appearance of a building, both internally and externally. Methods: In this work, we employ a goal-based, illumination-driven approach to opening design using a Bayesian Optimization approach, based on Gaussian Processes. A method is proposed that allows a designer to easily set lighting intentions along with qualitative and quantitative characteristics of desired openings. Results: All parameters are optimized within a cost minimization framework to calculate geometrically feasible, architecturally admissible and aesthetically pleasing openings of any desired shape, while respecting the designer's lighting constraints. |
| first_indexed | 2024-03-08T19:59:06Z |
| format | Article |
| id | doaj.art-5d7620273b2e44bfb9f0a38a5c792002 |
| institution | Directory Open Access Journal |
| issn | 2096-5796 |
| language | English |
| last_indexed | 2024-03-08T19:59:06Z |
| publishDate | 2023-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Virtual Reality & Intelligent Hardware |
| spelling | doaj.art-5d7620273b2e44bfb9f0a38a5c7920022023-12-24T04:45:21ZengKeAi Communications Co., Ltd.Virtual Reality & Intelligent Hardware2096-57962023-12-0156550564Opening Design using Bayesian OptimizationNick Vitsas0Iordanis Evangelou1Georgios Papaioannou2Anastasios Gkaravelis3Corresponding author,; Department of Informatics, Athens University of Economics and Business, GreeceDepartment of Informatics, Athens University of Economics and Business, GreeceDepartment of Informatics, Athens University of Economics and Business, GreeceDepartment of Informatics, Athens University of Economics and Business, GreeceBackground: Opening design is a major consideration in architectural buildings during early structural layout specification. Decisions regarding the geometric characteristics of windows, skylights, hatches, etc., greatly impact the overall energy efficiency, airflow and appearance of a building, both internally and externally. Methods: In this work, we employ a goal-based, illumination-driven approach to opening design using a Bayesian Optimization approach, based on Gaussian Processes. A method is proposed that allows a designer to easily set lighting intentions along with qualitative and quantitative characteristics of desired openings. Results: All parameters are optimized within a cost minimization framework to calculate geometrically feasible, architecturally admissible and aesthetically pleasing openings of any desired shape, while respecting the designer's lighting constraints.http://www.sciencedirect.com/science/article/pii/S2096579623000256Inverse GeometryLighting SimulationScene Synthesis |
| spellingShingle | Nick Vitsas Iordanis Evangelou Georgios Papaioannou Anastasios Gkaravelis Opening Design using Bayesian Optimization Virtual Reality & Intelligent Hardware Inverse Geometry Lighting Simulation Scene Synthesis |
| title | Opening Design using Bayesian Optimization |
| title_full | Opening Design using Bayesian Optimization |
| title_fullStr | Opening Design using Bayesian Optimization |
| title_full_unstemmed | Opening Design using Bayesian Optimization |
| title_short | Opening Design using Bayesian Optimization |
| title_sort | opening design using bayesian optimization |
| topic | Inverse Geometry Lighting Simulation Scene Synthesis |
| url | http://www.sciencedirect.com/science/article/pii/S2096579623000256 |
| work_keys_str_mv | AT nickvitsas openingdesignusingbayesianoptimization AT iordanisevangelou openingdesignusingbayesianoptimization AT georgiospapaioannou openingdesignusingbayesianoptimization AT anastasiosgkaravelis openingdesignusingbayesianoptimization |