IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i5p2254-d1081240.html
   My bibliography  Save this article

Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations

Author

Listed:
  • Tamás Storcz

    (Department of Systems and Software Technologies, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, Hungary)

  • Zsolt Ercsey

    (Department of Systems and Software Technologies, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, Hungary)

  • Kristóf Roland Horváth

    (Marcel Breuer Doctoral School, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány Street 2, 7624 Pécs, Hungary)

  • Zoltán Kovács

    (Optin Ltd., 6720 Szeged, Hungary)

  • Balázs Dávid

    (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)

  • István Kistelegdi

    (Department of Simulation Driven Design, Ybl Miklós Faculty of Architecture and Civil Engineering, Institute of Architecture, Óbuda University, Thököly Street 74, 1146 Budapest, Hungary)

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.

Suggested Citation

  • Tamás Storcz & Zsolt Ercsey & Kristóf Roland Horváth & Zoltán Kovács & Balázs Dávid & István Kistelegdi, 2023. "Energy Design Synthesis: Algorithmic Generation of Building Shape Configurations," Energies, MDPI, vol. 16(5), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2254-:d:1081240
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/5/2254/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/5/2254/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    2. Effrosyni Giama & Georgios Chantzis & Serafim Kontos & Stavros Keppas & Anastasia Poupkou & Natalia Liora & Dimitrios Melas, 2022. "Building Energy Simulations Based on Weather Forecast Meteorological Model: The Case of an Institutional Building in Greece," Energies, MDPI, vol. 16(1), pages 1-15, December.
    3. Ciardiello, Adriana & Rosso, Federica & Dell'Olmo, Jacopo & Ciancio, Virgilio & Ferrero, Marco & Salata, Ferdinando, 2020. "Multi-objective approach to the optimization of shape and envelope in building energy design," Applied Energy, Elsevier, vol. 280(C).
    4. Mert, Yelda & Saygın, Nicel, 2016. "Energy efficient building block design: An exergy perspective," Energy, Elsevier, vol. 102(C), pages 465-472.
    5. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tamás Storcz & Géza Várady & István Kistelegdi & Zsolt Ercsey, 2023. "Regression Models and Shape Descriptors for Building Energy Demand and Comfort Estimation," Energies, MDPI, vol. 16(16), pages 1-20, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simone Giostra & Ayush Kamalia & Gabriele Masera, 2024. "Solar Species: Energy Optimization of Urban Form Through an Evolutionary Design Process," Sustainability, MDPI, vol. 16(21), pages 1-27, October.
    2. Abdo Abdullah Ahmed Gassar & Choongwan Koo & Tae Wan Kim & Seung Hyun Cha, 2021. "Performance Optimization Studies on Heating, Cooling and Lighting Energy Systems of Buildings during the Design Stage: A Review," Sustainability, MDPI, vol. 13(17), pages 1-47, September.
    3. Huan Zhang & Yajie Wang & Xianze Liu & Fujing Wan & Wandong Zheng, 2024. "Multi-Objective Optimization with Active–Passive Technology Synergy for Rural Residences in Northern China," Energies, MDPI, vol. 17(7), pages 1-25, March.
    4. Rudai Shan & Lars Junghans, 2023. "Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review," Sustainability, MDPI, vol. 15(21), pages 1-33, November.
    5. Shu-Long Luo & Xing Shi & Feng Yang, 2024. "A Review of Data-Driven Methods in Building Retrofit and Performance Optimization: From the Perspective of Carbon Emission Reductions," Energies, MDPI, vol. 17(18), pages 1-33, September.
    6. Shaoxiong Li & Le Liu & Changhai Peng, 2020. "A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges," Sustainability, MDPI, vol. 12(4), pages 1-36, February.
    7. Razmi, Afshin & Rahbar, Morteza & Bemanian, Mohammadreza, 2022. "PCA-ANN integrated NSGA-III framework for dormitory building design optimization: Energy efficiency, daylight, and thermal comfort," Applied Energy, Elsevier, vol. 305(C).
    8. Tamás Storcz & Géza Várady & István Kistelegdi & Zsolt Ercsey, 2023. "Regression Models and Shape Descriptors for Building Energy Demand and Comfort Estimation," Energies, MDPI, vol. 16(16), pages 1-20, August.
    9. Bushra, Nayab & Hartmann, Timo, 2024. "A method for design optimization of roof-integrated two-stage solar concentrators (TSSCs)," Applied Energy, Elsevier, vol. 353(PA).
    10. Benedek Kiss & Jose Dinis Silvestre & Rita Andrade Santos & Zsuzsa Szalay, 2021. "Environmental and Economic Optimisation of Buildings in Portugal and Hungary," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    11. Guariso, Giorgio & Sangiorgio, Matteo, 2019. "Multi-objective planning of building stock renovation," Energy Policy, Elsevier, vol. 130(C), pages 101-110.
    12. Sun, Alexander Y., 2020. "Optimal carbon storage reservoir management through deep reinforcement learning," Applied Energy, Elsevier, vol. 278(C).
    13. Waibel, Christoph & Evins, Ralph & Carmeliet, Jan, 2019. "Co-simulation and optimization of building geometry and multi-energy systems: Interdependencies in energy supply, energy demand and solar potentials," Applied Energy, Elsevier, vol. 242(C), pages 1661-1682.
    14. Kokaraki, Nikoleta & Hopfe, Christina J. & Robinson, Elaine & Nikolaidou, Elli, 2019. "Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 991-1007.
    15. Ascione, Fabrizio & De Masi, Rosa Francesca & de Rossi, Filippo & Ruggiero, Silvia & Vanoli, Giuseppe Peter, 2016. "Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study," Applied Energy, Elsevier, vol. 183(C), pages 938-957.
    16. Tian, Wei & Song, Jitian & Li, Zhanyong & de Wilde, Pieter, 2014. "Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis," Applied Energy, Elsevier, vol. 135(C), pages 320-328.
    17. Fernandes, Marco S. & Rodrigues, Eugénio & Gaspar, Adélio Rodrigues & Costa, José J. & Gomes, Álvaro, 2019. "The impact of thermal transmittance variation on building design in the Mediterranean region," Applied Energy, Elsevier, vol. 239(C), pages 581-597.
    18. Rui Liang & Xichuan Zheng & Po-Hsun Wang & Jia Liang & Linhui Hu, 2023. "Research Progress of Carbon-Neutral Design for Buildings," Energies, MDPI, vol. 16(16), pages 1-50, August.
    19. Niemelä, Tuomo & Kosonen, Risto & Jokisalo, Juha, 2016. "Cost-optimal energy performance renovation measures of educational buildings in cold climate," Applied Energy, Elsevier, vol. 183(C), pages 1005-1020.
    20. Pajek, Luka & Košir, Mitja, 2021. "Strategy for achieving long-term energy efficiency of European single-family buildings through passive climate adaptation," Applied Energy, Elsevier, vol. 297(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2254-:d:1081240. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.