IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v321y2022ics030626192200678x.html
   My bibliography  Save this article

CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height

Author

Listed:
  • Juan, Yu-Hsuan
  • Rezaeiha, Abdolrahim
  • Montazeri, Hamid
  • Blocken, Bert
  • Wen, Chih-Yung
  • Yang, An-Shik

Abstract

High-rise building complexes are of great importance for enabling sustainable urban development in large parts of the world. Earlier studies have indicated that high wind speed regions can be present along the passage between two high-rise buildings as well as above the roofs. At such locations, urban wind energy could be harvested by installing wind turbines between and/or above the roof of the buildings. However, the available wind energy potential around an array of generic high-rise buildings in close proximity has not yet been assessed for different building configurations. This paper conducts a detailed evaluation of the impacts of the building arrangement and height for a 2 × 2 array with a building height-to-street width ratio of 30 on the mean wind velocity and the wind energy potential along the passages between both upstream and downstream buildings as well as on their roofs. The following parameters are analyzed: (i) the passage width between the two upstream buildings (w), (ii) the streamwise distance between the upstream and downstream buildings (d), and (iii) the height difference between the upstream and downstream buildings (ΔH). The 3D steady Reynolds-averaged Navier-Stokes (RANS) equations are solved using the Reynolds stress model (RSM) turbulence model for closure. The CFD results are validated using wind-tunnel measurements of mean wind speed and turbulence intensity performed for the same building array. The results show elevated wind power density along the upstream passages for small w (=0.15B), high d (=0.6B), and equal building height (ΔH = 0). In contrast, comparatively high values of w, small d, and ΔH < 0 yield high wind power densities between the downstream buildings. Among the different wind turbine types considered, horizontally-mounted vertical axis wind turbines seem the most promising option for wind energy harvesting between the buildings.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:appene:v:321:y:2022:i:c:s030626192200678x
    DOI: 10.1016/j.apenergy.2022.119328
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192200678X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2022.119328?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Takaaki Kono & Tetsuya Kogaki & Takahiro Kiwata, 2016. "Numerical Investigation of Wind Conditions for Roof-Mounted Wind Turbines: Effects of Wind Direction and Horizontal Aspect Ratio of a High-Rise Cuboid Building," Energies, MDPI, vol. 9(11), pages 1-20, November.
    2. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "On the accuracy of turbulence models for CFD simulations of vertical axis wind turbines," Energy, Elsevier, vol. 180(C), pages 838-857.
    3. Wang, Qiang & Wang, Jianwen & Hou, Yali & Yuan, Renyu & Luo, Kun & Fan, Jianren, 2018. "Micrositing of roof mounting wind turbine in urban environment: CFD simulations and lidar measurements," Renewable Energy, Elsevier, vol. 115(C), pages 1118-1133.
    4. Balduzzi, Francesco & Bianchini, Alessandro & Ferrari, Lorenzo, 2012. "Microeolic turbines in the built environment: Influence of the installation site on the potential energy yield," Renewable Energy, Elsevier, vol. 45(C), pages 163-174.
    5. Rezaeiha, Abdolrahim & Pereira, Ricardo & Kotsonis, Marios, 2017. "Fluctuations of angle of attack and lift coefficient and the resultant fatigue loads for a large Horizontal Axis Wind turbine," Renewable Energy, Elsevier, vol. 114(PB), pages 904-916.
    6. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "Active flow control for power enhancement of vertical axis wind turbines: Leading-edge slot suction," Energy, Elsevier, vol. 189(C).
    7. Wang, B. & Cot, L.D. & Adolphe, L. & Geoffroy, S. & Sun, S., 2017. "Cross indicator analysis between wind energy potential and urban morphology," Renewable Energy, Elsevier, vol. 113(C), pages 989-1006.
    8. Jeongsu Park & Hyung-Jo Jung & Seung-Woo Lee & Jiyoung Park, 2015. "A New Building-Integrated Wind Turbine System Utilizing the Building," Energies, MDPI, vol. 8(10), pages 1-25, October.
    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. Tabrizi, Amir Bashirzadeh & Whale, Jonathan & Lyons, Thomas & Urmee, Tania, 2014. "Performance and safety of rooftop wind turbines: Use of CFD to gain insight into inflow conditions," Renewable Energy, Elsevier, vol. 67(C), pages 242-251.
    11. Alsailani, M. & Montazeri, H. & Rezaeiha, A., 2021. "Towards optimal aerodynamic design of wind catchers: Impact of geometrical characteristics," Renewable Energy, Elsevier, vol. 168(C), pages 1344-1363.
    12. Yang, An-Shik & Su, Ying-Ming & Wen, Chih-Yung & Juan, Yu-Hsuan & Wang, Wei-Siang & Cheng, Chiang-Ho, 2016. "Estimation of wind power generation in dense urban area," Applied Energy, Elsevier, vol. 171(C), pages 213-230.
    13. Abohela, Islam & Hamza, Neveen & Dudek, Steven, 2013. "Effect of roof shape, wind direction, building height and urban configuration on the energy yield and positioning of roof mounted wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 1106-1118.
    14. Simões, Teresa & Estanqueiro, Ana, 2016. "A new methodology for urban wind resource assessment," Renewable Energy, Elsevier, vol. 89(C), pages 598-605.
    15. 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).
    16. Ledo, L. & Kosasih, P.B. & Cooper, P., 2011. "Roof mounting site analysis for micro-wind turbines," Renewable Energy, Elsevier, vol. 36(5), pages 1379-1391.
    17. 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.
    18. Toja-Silva, Francisco & Colmenar-Santos, Antonio & Castro-Gil, Manuel, 2013. "Urban wind energy exploitation systems: Behaviour under multidirectional flow conditions—Opportunities and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 364-378.
    19. Lu, Lin & Ip, Ka Yan, 2009. "Investigation on the feasibility and enhancement methods of wind power utilization in high-rise buildings of Hong Kong," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(2), pages 450-461, February.
    20. Montazeri, H. & Montazeri, F., 2018. "CFD simulation of cross-ventilation in buildings using rooftop wind-catchers: Impact of outlet openings," Renewable Energy, Elsevier, vol. 118(C), pages 502-520.
    21. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2018. "Towards optimal aerodynamic design of vertical axis wind turbines: Impact of solidity and number of blades," Energy, Elsevier, vol. 165(PB), pages 1129-1148.
    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. Chen, Wei & Bai, Jianshu & Wang, Guohua & Xie, Ningning & Ma, Linrui & Wang, Yazhou & Zhang, Tong & Xue, Xiaodai, 2023. "First and second law analysis and operational mode optimization of the compression process for an advanced adiabatic compressed air energy storage based on the established comprehensive dynamic model," Energy, Elsevier, vol. 263(PC).
    2. He, J.Y. & Chan, P.W. & Li, Q.S. & Huang, Tao & Yim, Steve Hung Lam, 2024. "Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    3. Yoshihide Tominaga, 2023. "CFD Prediction for Wind Power Generation by a Small Vertical Axis Wind Turbine: A Case Study for a University Campus," Energies, MDPI, vol. 16(13), pages 1-19, June.
    4. Yu, Chuanjin & Fu, Suxiang & Wei, ZiWei & Zhang, Xiaochi & Li, Yongle, 2024. "Multi-feature-fused generative neural network with Gaussian mixture for multi-step probabilistic wind speed prediction," Applied Energy, Elsevier, vol. 359(C).
    5. Zhang, Guojie & Yang, Yifan & Chen, Jiaheng & Jin, Zunlong & Dykas, Sławomir, 2024. "Numerical study of heterogeneous condensation in the de Laval nozzle to guide the compressor performance optimization in a compressed air energy storage system," Applied Energy, Elsevier, vol. 356(C).

    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. 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).
    2. 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).
    3. KC, Anup & Whale, Jonathan & Urmee, Tania, 2019. "Urban wind conditions and small wind turbines in the built environment: A review," Renewable Energy, Elsevier, vol. 131(C), pages 268-283.
    4. 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).
    5. 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).
    6. Rezaeiha, Abdolrahim & Montazeri, Hamid & Blocken, Bert, 2019. "On the accuracy of turbulence models for CFD simulations of vertical axis wind turbines," Energy, Elsevier, vol. 180(C), pages 838-857.
    7. Zahra Sefidgar & Amir Ahmadi Joneidi & Ahmad Arabkoohsar, 2023. "A Comprehensive Review on Development and Applications of Cross-Flow Wind Turbines," Sustainability, MDPI, vol. 15(5), pages 1-39, March.
    8. 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).
    9. 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).
    10. Yang, An-Shik & Su, Ying-Ming & Wen, Chih-Yung & Juan, Yu-Hsuan & Wang, Wei-Siang & Cheng, Chiang-Ho, 2016. "Estimation of wind power generation in dense urban area," Applied Energy, Elsevier, vol. 171(C), pages 213-230.
    11. Hernández, Ó. Soto & Volkov, K. & Martín Mederos, A.C. & Medina Padrón, J.F. & Feijóo Lorenzo, A.E., 2015. "Power output of a wind turbine installed in an already existing viaduct," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 287-299.
    12. 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).
    13. 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.
    14. Zhang, Shuaibin & Du, Bowen & Ge, Mingwei & Zuo, Yingtao, 2022. "Study on the operation of small rooftop wind turbines and its effect on the wind environment in blocks," Renewable Energy, Elsevier, vol. 183(C), pages 708-718.
    15. Škvorc, Petar & Kozmar, Hrvoje, 2021. "Wind energy harnessing on tall buildings in urban environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    16. He, J.Y. & Chan, P.W. & Li, Q.S. & Huang, Tao & Yim, Steve Hung Lam, 2024. "Assessment of urban wind energy resource in Hong Kong based on multi-instrument observations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    17. 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.
    18. Yi Song Liu & Tan Yigitcanlar & Mirko Guaralda & Kenan Degirmenci & Aaron Liu & Michael Kane, 2022. "Leveraging the Opportunities of Wind for Cities through Urban Planning and Design: A PRISMA Review," Sustainability, MDPI, vol. 14(18), pages 1-78, September.
    19. 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.
    20. Xu, Wenhao & Li, Ye & Li, Gaohua & Li, Shoutu & Zhang, Chen & Wang, Fuxin, 2021. "High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings," Renewable Energy, Elsevier, vol. 176(C), pages 25-39.

    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:eee:appene:v:321:y:2022:i:c:s030626192200678x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.