LAPSE:2023.20325
Published Article
LAPSE:2023.20325
Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations
Tamás Storcz, Zsolt Ercsey, Kristóf Roland Horváth, Zoltán Kovács, Balázs Dávid, István Kistelegdi
March 17, 2023
Abstract
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.
Keywords
building energy design, geometry generation, heating energy assessment, modular space arrangement
Suggested Citation
Storcz T, Ercsey Z, Horváth KR, Kovács Z, Dávid B, Kistelegdi I. Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations. (2023). LAPSE:2023.20325
Author Affiliations
Storcz T: Department of Systems and Software Technologies, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, Hungary [ORCID]
Ercsey Z: Department of Systems and Software Technologies, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, Hungary [ORCID]
Horváth KR: Marcel Breuer Doctoral School, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, Hungary
Kovács Z: Optin Ltd., 6720 Szeged, Hungary
Dávid B: InnoRenew CoE, Livade 6a, 6310 Izola, Slovenia; Department of Information Sciences and Technologies, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia [ORCID]
Kistelegdi I: Department of Simulation Driven Design, Ybl Miklós Faculty of Architecture and Civil Engineering, Institute of Architecture, Óbuda University, Thököly Street 74, 1146 Budapest, Hungary [ORCID]
Journal Name
Energies
Volume
16
Issue
5
First Page
2254
Year
2023
Publication Date
2023-02-26
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16052254, Publication Type: Journal Article
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LAPSE:2023.20325
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https://doi.org/10.3390/en16052254
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