IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v77y2015icp320-330.html
   My bibliography  Save this article

Rooftop wind monitoring campaigns for small wind turbine applications: Effect of sampling rate and averaging period

Author

Listed:
  • Tabrizi, Amir Bashirzadeh
  • Whale, Jonathan
  • Lyons, Thomas
  • Urmee, Tania

Abstract

Small wind turbines are often sited in more complex environments than the open terrain sites assumed in relevant installation guidelines or in the international small wind turbine design standard IEC61400-2. The built environment is an example of such a complex environment and installation of small wind turbines on the rooftops of high buildings has been suggested by architects and project developers as a potential means of incorporating sustainable energy generation into building design. In the absence of guidelines for installing wind turbines in the built environment, two key wind measurement parameters are the rate at which a data acquisition system (DAQ) samples the sensor, and the period over which the sampled data is averaged.

Suggested Citation

  • Tabrizi, Amir Bashirzadeh & Whale, Jonathan & Lyons, Thomas & Urmee, Tania, 2015. "Rooftop wind monitoring campaigns for small wind turbine applications: Effect of sampling rate and averaging period," Renewable Energy, Elsevier, vol. 77(C), pages 320-330.
  • Handle: RePEc:eee:renene:v:77:y:2015:i:c:p:320-330
    DOI: 10.1016/j.renene.2014.12.037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148114008647
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2014.12.037?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. Whale, J. & McHenry, M.P. & Malla, A., 2013. "Scheduling and conducting power performance testing of a small wind turbine," Renewable Energy, Elsevier, vol. 55(C), pages 55-61.
    2. Ross, S.J. & McHenry, M.P. & Whale, J., 2012. "The impact of state feed-in tariffs and federal tradable quota support policies on grid-connected small wind turbine installed capacity in Australia," Renewable Energy, Elsevier, vol. 46(C), pages 141-147.
    3. 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.
    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. 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.
    2. C. A. Lopez-Villalobos & O. Rodriguez-Hernandez & R. Campos-Amezcua & Guillermo Hernandez-Cruz & O. A. Jaramillo & J. L. Mendoza, 2018. "Wind Turbulence Intensity at La Ventosa, Mexico: A Comparative Study with the IEC61400 Standards," Energies, MDPI, vol. 11(11), pages 1-19, November.
    3. Korprasertsak, Natapol & Leephakpreeda, Thananchai, 2018. "Nyquist-based adaptive sampling rate for wind measurement under varying wind conditions," Renewable Energy, Elsevier, vol. 119(C), pages 290-298.
    4. Lopez-Villalobos, C.A. & Rodriguez-Hernandez, O. & Martínez-Alvarado, O. & Hernandez-Yepes, J.G., 2021. "Effects of wind power spectrum analysis over resource assessment," Renewable Energy, Elsevier, vol. 167(C), pages 761-773.
    5. KC, Anup & Whale, Jonathan & Evans, Samuel P. & Clausen, Philip D., 2020. "An investigation of the impact of wind speed and turbulence on small wind turbine operation and fatigue loads," Renewable Energy, Elsevier, vol. 146(C), pages 87-98.
    6. Rakib, M.I. & Evans, S.P. & Clausen, P.D., 2020. "Measured gust events in the urban environment, a comparison with the IEC standard," Renewable Energy, Elsevier, vol. 146(C), pages 1134-1142.
    7. 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.
    8. Namiz Musafer & Nihal Samaratunga & P. G. Ajith Kumara, 2020. "The applications of appropriate renewable energy technologies by the refugees and displaced persons under humanitarian assistance programmes," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(12), pages 31-37, December.
    9. 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.
    10. Coelho, Vitor N. & Weiss Cohen, Miri & Coelho, Igor M. & Liu, Nian & Guimarães, Frederico Gadelha, 2017. "Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids," Applied Energy, Elsevier, vol. 187(C), pages 820-832.

    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. Bashirzadeh Tabrizi, Amir & Whale, Jonathan & Lyons, Thomas & Urmee, Tania & Peinke, Joachim, 2017. "Modelling the structural loading of a small wind turbine at a highly turbulent site via modifications to the Kaimal turbulence spectra," Renewable Energy, Elsevier, vol. 105(C), pages 288-300.
    2. Akintayo T. Abolude & Wen Zhou, 2018. "A Comparative Computational Fluid Dynamic Study on the Effects of Terrain Type on Hub-Height Wind Aerodynamic Properties," Energies, MDPI, vol. 12(1), pages 1-14, December.
    3. 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.
    4. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
    5. Tanesab, Julius & Parlevliet, David & Whale, Jonathan & Urmee, Tania, 2018. "Energy and economic losses caused by dust on residential photovoltaic (PV) systems deployed in different climate areas," Renewable Energy, Elsevier, vol. 120(C), pages 401-412.
    6. Lydia, M. & Kumar, S. Suresh & Selvakumar, A. Immanuel & Prem Kumar, G. Edwin, 2014. "A comprehensive review on wind turbine power curve modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 452-460.
    7. Marino Marrocu & Luca Massidda, 2017. "A Simple and Effective Approach for the Prediction of Turbine Power Production From Wind Speed Forecast," Energies, MDPI, vol. 10(12), pages 1-14, November.
    8. 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).
    9. Evans, S.P. & Clausen, P.D., 2015. "Modelling of turbulent wind flow using the embedded Markov chain method," Renewable Energy, Elsevier, vol. 81(C), pages 671-678.
    10. 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.
    11. Grieser, Benno & Madlener, Reinhard & Sunak, Yasin, 2013. "Economics of Small Wind Power Plants in Urban Settings: An Empirical Investigation for Germany," FCN Working Papers 1/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    12. Simpson, Genevieve & Clifton, Julian, 2014. "Picking winners and policy uncertainty: Stakeholder perceptions of Australia's Renewable Energy Target," Renewable Energy, Elsevier, vol. 67(C), pages 128-135.
    13. 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).
    14. Kumar, Rakesh & Raahemifar, Kaamran & Fung, Alan S., 2018. "A critical review of vertical axis wind turbines for urban applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 281-291.
    15. 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).
    16. 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.
    17. Emejeamara, F.C. & Tomlin, A.S., 2020. "A method for estimating the potential power available to building mounted wind turbines within turbulent urban air flows," Renewable Energy, Elsevier, vol. 153(C), pages 787-800.
    18. Bai, H.L. & Chan, C.M. & Zhu, X.M. & Li, K.M., 2019. "A numerical study on the performance of a Savonius-type vertical-axis wind turbine in a confined long channel," Renewable Energy, Elsevier, vol. 139(C), pages 102-109.
    19. Whale, J. & McHenry, M.P. & Malla, A., 2013. "Scheduling and conducting power performance testing of a small wind turbine," Renewable Energy, Elsevier, vol. 55(C), pages 55-61.
    20. 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.

    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:77:y:2015:i:c:p:320-330. 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.