Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations
The building industry is responsible for a significant degree of energy consumption in the world, causing negative climate changes and energy supply uncertainties due to low energy efficiency as well as the high resource demand of construction. Consequently, energy design optimization has become an...
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Format: | Article |
Language: | English |
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MDPI AG
2023-02-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/5/2254 |
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author | Tamás Storcz Zsolt Ercsey Kristóf Roland Horváth Zoltán Kovács Balázs Dávid István Kistelegdi |
author_facet | Tamás Storcz Zsolt Ercsey Kristóf Roland Horváth Zoltán Kovács Balázs Dávid István Kistelegdi |
author_sort | Tamás Storcz |
collection | DOAJ |
description | The building industry is responsible for a significant degree of energy consumption in the world, causing negative climate changes and energy supply uncertainties due to low energy efficiency as well as the high resource demand of construction. Consequently, energy design optimization has become an important research field. Passive design strategies are one of the most definitive factors concerning energy-related building development. The given architectural problem calls for a method that can create all potentially feasible building geometries, thus guaranteeing the optimal solution which is addressed in the current paper. To reach this requirement, the necessity of a modular space arrangement system and architectural selection rules were determined, focusing on the relationship between the rules and the generation of geometries with mathematical rigor. Next, the architecture-based congruency analysis performed, further reduced the number of simulation cases. With the simulations, it is illustrated how the building shape versions affect the heating energy demands: the performance of the configurations themselves. Results clearly illustrate the importance of the synthesis step of the architectural design. |
first_indexed | 2024-03-11T07:27:07Z |
format | Article |
id | doaj.art-fbf2e7d7662746119ffa62f7f93c3a09 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T07:27:07Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-fbf2e7d7662746119ffa62f7f93c3a092023-11-17T07:36:14ZengMDPI AGEnergies1996-10732023-02-01165225410.3390/en16052254Energy Design Synthesis: Algorithmic Generation of Building Shape ConfigurationsTamás Storcz0Zsolt Ercsey1Kristóf Roland Horváth2Zoltán Kovács3Balázs Dávid4István Kistelegdi5Department of Systems and Software Technologies, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, HungaryDepartment of Systems and Software Technologies, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, HungaryMarcel Breuer Doctoral School, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, HungaryOptin Ltd., 6720 Szeged, HungaryInnoRenew CoE, Livade 6a, 6310 Izola, SloveniaDepartment of Simulation Driven Design, Ybl Miklós Faculty of Architecture and Civil Engineering, Institute of Architecture, Óbuda University, Thököly Street 74, 1146 Budapest, HungaryThe building industry is responsible for a significant degree of energy consumption in the world, causing negative climate changes and energy supply uncertainties due to low energy efficiency as well as the high resource demand of construction. Consequently, energy design optimization has become an important research field. Passive design strategies are one of the most definitive factors concerning energy-related building development. The given architectural problem calls for a method that can create all potentially feasible building geometries, thus guaranteeing the optimal solution which is addressed in the current paper. To reach this requirement, the necessity of a modular space arrangement system and architectural selection rules were determined, focusing on the relationship between the rules and the generation of geometries with mathematical rigor. Next, the architecture-based congruency analysis performed, further reduced the number of simulation cases. With the simulations, it is illustrated how the building shape versions affect the heating energy demands: the performance of the configurations themselves. Results clearly illustrate the importance of the synthesis step of the architectural design.https://www.mdpi.com/1996-1073/16/5/2254building energy designheating energy assessmentgeometry generationmodular space arrangement |
spellingShingle | Tamás Storcz Zsolt Ercsey Kristóf Roland Horváth Zoltán Kovács Balázs Dávid István Kistelegdi Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations Energies building energy design heating energy assessment geometry generation modular space arrangement |
title | Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations |
title_full | Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations |
title_fullStr | Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations |
title_full_unstemmed | Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations |
title_short | Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations |
title_sort | energy design synthesis algorithmic generation of building shape configurations |
topic | building energy design heating energy assessment geometry generation modular space arrangement |
url | https://www.mdpi.com/1996-1073/16/5/2254 |
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