IDEAS home Printed from https://ideas.repec.org/a/gam/jjopen/v7y2024i1p4-93d1333793.html
   My bibliography  Save this article

Aerodynamic Modification of High-Rise Buildings by the Adjoint Method

Author

Listed:
  • Amirfarhang Nikkhoo

    (Mechanical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran)

  • Ali Esmaeili

    (Mechanical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran)

  • Shayan Rabizade

    (Mechanical Engineering Department, School of Engineering, Aalto University, 02150 Espoo, Finland)

  • Majid Zamiri

    (NOVA School of Science and Technology, Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), NOVA University Lisbon, 2829-516 Lisbon, Portugal)

Abstract

This study presents a novel numerical methodology that is designed for the dynamic adjustment of three-dimensional high-rise building configurations in response to aerodynamic forces. The approach combines two core components: a numerical simulation of fluid flow and the adjoint method. Through a comprehensive sensitivity analysis, the influence of individual variables on aerodynamic loads, including lift and drag coefficients, is assessed. The findings underscore that the architectural design, specifically the building’s construction pattern, exerts the most substantial impact on these forces, accounting for a substantial proportion (76%). Consequently, the study extends its evaluation to the sensitivity of fluid flow across various sections of the tower by solving the adjoint equation throughout the entire fluid domain. As a result, the derived sensitivity vector indicates a remarkable reduction of approximately 31% in the applied loads on the tower. This notable improvement has significant implications for the construction of tall buildings, as it effectively mitigates aerodynamic forces, ultimately enhancing the overall comfort and structural stability of these architectural marvels.

Suggested Citation

  • Amirfarhang Nikkhoo & Ali Esmaeili & Shayan Rabizade & Majid Zamiri, 2024. "Aerodynamic Modification of High-Rise Buildings by the Adjoint Method," J, MDPI, vol. 7(1), pages 1-22, February.
    • Handle: RePEc:gam:jjopen:v:7:y:2024:i:1:p:4-93:d:1333793
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8800/7/1/4/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8800/7/1/4/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Toja-Silva, Francisco & Lopez-Garcia, Oscar & Peralta, Carlos & Navarro, Jorge & Cruz, Ignacio, 2016. "An empirical–heuristic optimization of the building-roof geometry for urban wind energy exploitation on high-rise buildings," Applied Energy, Elsevier, vol. 164(C), pages 769-794.
    Full references (including those not matched with items on IDEAS)

    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. Anbarsooz, M. & Amiri, M., 2022. "Towards enhancing the wind energy potential at the built environment: Geometry effects of two adjacent buildings," Energy, Elsevier, vol. 239(PD).
    2. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2018. "Modelling urban energy requirements using open source data and models," Applied Energy, Elsevier, vol. 231(C), pages 1100-1108.
    3. Oscar Garcia & Alain Ulazia & Mario del Rio & Sheila Carreno-Madinabeitia & Andoni Gonzalez-Arceo, 2019. "An Energy Potential Estimation Methodology and Novel Prototype Design for Building-Integrated Wind Turbines," Energies, MDPI, vol. 12(10), pages 1-21, May.
    4. Dai, S.F. & Liu, H.J. & Peng, H.Y., 2022. "Assessment of parapet effect on wind flow properties and wind energy potential over roofs of tall buildings," Renewable Energy, Elsevier, vol. 199(C), pages 826-839.
    5. Shilei Lu & Ran Wang & Shaoqun Zheng, 2017. "Passive Optimization Design Based on Particle Swarm Optimization in Rural Buildings of the Hot Summer and Warm Winter Zone of China," Sustainability, MDPI, vol. 9(12), pages 1-30, December.
    6. Peng, H.Y. & Lam, H.F. & Liu, H.J., 2019. "Power performance assessment of H-rotor vertical axis wind turbines with different aspect ratios in turbulent flows via experiments," Energy, Elsevier, vol. 173(C), pages 121-132.
    7. Juan, Yu-Hsuan & Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert & Wen, Chih-Yung & Yang, An-Shik, 2022. "CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height," Applied Energy, Elsevier, vol. 321(C).
    8. Daniel Micallef & Gerard Van Bussel, 2018. "A Review of Urban Wind Energy Research: Aerodynamics and Other Challenges," Energies, MDPI, vol. 11(9), pages 1-27, August.
    9. Juan, Yu-Hsuan & Wen, Chih-Yung & Li, Zhengtong & Yang, An-Shik, 2021. "Impacts of urban morphology on improving urban wind energy potential for generic high-rise building arrays," Applied Energy, Elsevier, vol. 299(C).
    10. Juan, Y.-H. & Wen, C.-Y. & Chen, W.-Y. & Yang, A.-S., 2021. "Numerical assessments of wind power potential and installation arrangements in realistic highly urbanized areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    11. ArabGolarcheh, Alireza & Anbarsooz, Morteza & Benini, Ernesto, 2024. "An actuator line method for performance prediction of HAWTs at urban flow conditions: A case study of rooftop wind turbines," Energy, Elsevier, vol. 292(C).
    12. Dragomir, George & Șerban, Alexandru & Năstase, Gabriel & Brezeanu, Alin Ionuț, 2016. "Wind energy in Romania: A review from 2009 to 2016," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 129-143.
    13. Tajeddin, Alireza & Fazelpour, Farivar, 2016. "Towards realistic design of wind dams: An innovative approach to enhance wind potential," Applied Energy, Elsevier, vol. 182(C), pages 282-298.
    14. Fan, Xiantao & Ge, Mingwei & Tan, Wei & Li, Qi, 2021. "Impacts of coexisting buildings and trees on the performance of rooftop wind turbines: An idealized numerical study," Renewable Energy, Elsevier, vol. 177(C), pages 164-180.
    15. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.
    16. Arteaga-López, Ernesto & Angeles-Camacho, César, 2021. "Innovative virtual computational domain based on wind rose diagrams for micrositing small wind turbines," Energy, Elsevier, vol. 220(C).
    17. Han, Nuomin & Zhao, Dan & Schluter, Jorg U. & Goh, Ernest Seach & Zhao, He & Jin, Xiao, 2016. "Performance evaluation of 3D printed miniature electromagnetic energy harvesters driven by air flow," Applied Energy, Elsevier, vol. 178(C), pages 672-680.
    18. Dai, S.F. & Liu, H.J. & Chu, Y.J. & Lam, H.F. & Peng, H.Y., 2022. "Impact of corner modification on wind characteristics and wind energy potential over flat roofs of tall buildings," Energy, Elsevier, vol. 241(C).
    19. Shilei Lu & Xiaolei Tang & Liran Ji & Daixin Tu, 2017. "Research on Energy-Saving Optimization for the Performance Parameters of Rural-Building Shape and Envelope by TRNSYS-GenOpt in Hot Summer and Cold Winter Zone of China," Sustainability, MDPI, vol. 9(2), pages 1-18, February.
    20. Ye, Xiulan & Zhang, Xuelin & Weerasuriya, A.U. & Hang, Jian & Zeng, Liyue & Li, Cruz Y., 2024. "Optimum design parameters for a venturi-shaped roof to maximize the performance of building-integrated wind turbines," Applied Energy, Elsevier, vol. 355(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:jjopen:v:7:y:2024:i:1:p:4-93:d:1333793. 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.