IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v89y2016icp598-605.html
   My bibliography  Save this article

A new methodology for urban wind resource assessment

Author

Listed:
  • Simões, Teresa
  • Estanqueiro, Ana

Abstract

In the latest years the wind energy sector experienced an exponential growth all over the world. What started as a deployment of onshore projects, soon moved to offshore and, more recently to the urban environment within the context of smart cities and renewable micro-generation. However, urban wind projects using micro turbines do not have enough profit margins to enable the setup of comprehensive and expensive measurement campaigns, a standard procedure for the deployment of large wind parks. To respond to the wind assessment needs of the future smart cities a new and simple methodology for urban wind resource assessment was developed. This methodology is based on the construction of a surface involving a built area in order to estimate the wind potential by treating it as very complex orography. This is a straightforward methodology that allows estimating the sustainable urban wind potential, being suitable to map the urban wind resource in large areas. The methodology was applied to a case study and the results enabled the wind potential assessment of a large urban area being consistent with experimental data obtained in the case study area, with maximum deviations of the order of 10% (mean wind speed) and 20% (power density).

Suggested Citation

  • Simões, Teresa & Estanqueiro, Ana, 2016. "A new methodology for urban wind resource assessment," Renewable Energy, Elsevier, vol. 89(C), pages 598-605.
    • Handle: RePEc:eee:renene:v:89:y:2016:i:c:p:598-605
    DOI: 10.1016/j.renene.2015.12.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148115305152
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2015.12.008?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. Weekes, S.M. & Tomlin, A.S., 2013. "Evaluation of a semi-empirical model for predicting the wind energy resource relevant to small-scale wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 280-288.
    2. 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.
    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. 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).
    2. Takanori Uchida & Susumu Takakuwa, 2019. "A Large-Eddy Simulation-Based Assessment of the Risk of Wind Turbine Failures Due to Terrain-Induced Turbulence over a Wind Farm in Complex Terrain," Energies, MDPI, vol. 12(10), pages 1-19, May.
    3. Alexander Vallejo Díaz & Idalberto Herrera Moya & Edwin Garabitos Lara & Cándida K. Casilla Victorino, 2024. "Assessment of Urban Wind Potential and the Stakeholders Involved in Energy Decision-Making," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    4. Vallejo Díaz, Alexander & Herrera Moya, Idalberto, 2024. "Urban wind energy with resilience approach for sustainable cities in tropical regions: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    5. Laura Cornejo-Bueno & Lucas Cuadra & Silvia Jiménez-Fernández & Javier Acevedo-Rodríguez & Luis Prieto & Sancho Salcedo-Sanz, 2017. "Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data," Energies, MDPI, vol. 10(11), pages 1-27, November.
    6. Jan Konopka & António Lopes & Andreas Matzarakis, 2018. "An Original Approach Combining CFD, Linearized Models, and Deformation of Trees for Urban Wind Power Assessment," Sustainability, MDPI, vol. 10(6), pages 1-24, June.
    7. Takanori Uchida & Yasushi Kawashima, 2019. "New Assessment Scales for Evaluating the Degree of Risk of Wind Turbine Blade Damage Caused by Terrain-Induced Turbulence," Energies, MDPI, vol. 12(13), pages 1-27, July.
    8. Radünz, William Corrêa & Mattuella, Jussara M. Leite & Petry, Adriane Prisco, 2020. "Wind resource mapping and energy estimation in complex terrain: A framework based on field observations and computational fluid dynamics," Renewable Energy, Elsevier, vol. 152(C), pages 494-515.
    9. 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.
    10. Yang, Xiaolei & Milliren, Christopher & Kistner, Matt & Hogg, Christopher & Marr, Jeff & Shen, Lian & Sotiropoulos, Fotis, 2021. "High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm," Applied Energy, Elsevier, vol. 281(C).
    11. Matthew Gough & Mohamed Lotfi & Rui Castro & Amos Madhlopa & Azeem Khan & João P. S. Catalão, 2019. "Urban Wind Resource Assessment: A Case Study on Cape Town," Energies, MDPI, vol. 12(8), pages 1-20, April.
    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. 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.
    14. Li, Jiale & Wang, Xuefei & Yu, Xiong (Bill), 2018. "Use of spatio-temporal calibrated wind shear model to improve accuracy of wind resource assessment," Applied Energy, Elsevier, vol. 213(C), pages 469-485.
    15. Isabel Cristina Gil-García & María Socorro García-Cascales & Angel Molina-García, 2022. "Urban Wind: An Alternative for Sustainable Cities," Energies, MDPI, vol. 15(13), pages 1-20, June.
    16. 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).
    17. 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).
    18. 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.
    19. Alina Wilke & Paul J.J. Welfens, 2020. "Urban Wind Energy Production Potential: New Opportunities," EIIW Discussion paper disbei287, Universitätsbibliothek Wuppertal, University Library.
    20. Samal, Rajat Kanti & Tripathy, M., 2019. "A novel distance metric for evaluating impact of wind integration on power systems," Renewable Energy, Elsevier, vol. 140(C), pages 722-736.
    21. Sarah Jamal Mattar & Mohammad Reza Kavian Nezhad & Michael Versteege & Carlos F. Lange & Brian A. Fleck, 2021. "Validation Process for Rooftop Wind Regime CFD Model in Complex Urban Environment Using an Experimental Measurement Campaign," Energies, MDPI, vol. 14(9), pages 1-19, April.
    22. Škvorc, Petar & Kozmar, Hrvoje, 2021. "Wind energy harnessing on tall buildings in urban environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    23. 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.
    24. Tran, Thomas T.D. & Smith, Amanda D., 2017. "fEvaluation of renewable energy technologies and their potential for technical integration and cost-effective use within the U.S. energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1372-1388.
    25. Teschner, Na'ama & Alterman, Rachelle, 2018. "Preparing the ground: Regulatory challenges in siting small-scale wind turbines in urban areas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1660-1668.

    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. Emejeamara, F.C. & Tomlin, A.S. & Millward-Hopkins, J.T., 2015. "Urban wind: Characterisation of useful gust and energy capture," Renewable Energy, Elsevier, vol. 81(C), pages 162-172.
    2. 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.
    3. Jangyoul You & Kipyo You & Minwoo Park & Changhee Lee, 2021. "Airflow Characteristics According to the Change in the Height and Porous Rate of Building Roofs for Efficient Installation of Small Wind Power Generators," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    4. 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.
    5. Manganhar, Abdul Latif & Rajpar, Altaf Hussain & Luhur, Muhammad Ramzan & Samo, Saleem Raza & Manganhar, Mehtab, 2019. "Performance analysis of a savonius vertical axis wind turbine integrated with wind accelerating and guiding rotor house," Renewable Energy, Elsevier, vol. 136(C), pages 512-520.
    6. 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.
    7. Zhaoyong Mao & Guangyong Yang & Tianqi Zhang & Wenlong Tian, 2020. "Aerodynamic Performance Analysis of a Building-Integrated Savonius Turbine," Energies, MDPI, vol. 13(10), pages 1-21, May.
    8. Yossri, W. & Ben Ayed, S. & Abdelkefi, A., 2023. "Evaluation of the efficiency of bioinspired blade designs for low-speed small-scale wind turbines with the presence of inflow turbulence effects," Energy, Elsevier, vol. 273(C).
    9. 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).
    10. 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).
    11. Bush, Ruth & Jacques, David A. & Scott, Kate & Barrett, John, 2014. "The carbon payback of micro-generation: An integrated hybrid input–output approach," Applied Energy, Elsevier, vol. 119(C), pages 85-98.
    12. 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.
    13. Siddiqui, M. Salman & Khalid, Muhammad Hamza & Zahoor, Rizwan & Butt, Fahad Sarfraz & Saeed, Muhammed & Badar, Abdul Waheed, 2021. "A numerical investigation to analyze effect of turbulence and ground clearance on the performance of a roof top vertical–axis wind turbine," Renewable Energy, Elsevier, vol. 164(C), pages 978-989.
    14. Millward-Hopkins, J.T. & Tomlin, A.S. & Ma, L. & Ingham, D.B. & Pourkashanian, M., 2013. "Mapping the wind resource over UK cities," Renewable Energy, Elsevier, vol. 55(C), pages 202-211.
    15. Allen, D.J. & Tomlin, A.S. & Bale, C.S.E. & Skea, A. & Vosper, S. & Gallani, M.L., 2017. "A boundary layer scaling technique for estimating near-surface wind energy using numerical weather prediction and wind map data," Applied Energy, Elsevier, vol. 208(C), pages 1246-1257.
    16. Millward-Hopkins, J.T. & Tomlin, A.S. & Ma, L. & Ingham, D.B. & Pourkashanian, M., 2013. "Assessing the potential of urban wind energy in a major UK city using an analytical model," Renewable Energy, Elsevier, vol. 60(C), pages 701-710.
    17. Osvaldo Rodriguez-Hernandez & Manuel Martinez & Carlos Lopez-Villalobos & Hector Garcia & Rafael Campos-Amezcua, 2019. "Techno-Economic Feasibility Study of Small Wind Turbines in the Valley of Mexico Metropolitan Area," Energies, MDPI, vol. 12(5), pages 1-26, March.
    18. Kosasih, B. & Saleh Hudin, H., 2016. "Influence of inflow turbulence intensity on the performance of bare and diffuser-augmented micro wind turbine model," Renewable Energy, Elsevier, vol. 87(P1), pages 154-167.
    19. M. Abdelsalam, Ali & Abdelmordy, M. & Ibrahim, K.A. & Sakr, I.M., 2023. "An investigation on flow behavior and performance of a wind turbine integrated within a building tunnel," Energy, Elsevier, vol. 280(C).
    20. 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).

    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:renene:v:89:y:2016:i:c:p:598-605. 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.journals.elsevier.com/renewable-energy .

    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.