IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v171y2021icp735-746.html
   My bibliography  Save this article

A case study of space-time performance comparison of wind turbines on a wind farm

Author

Listed:
  • Ding, Yu
  • Kumar, Nitesh
  • Prakash, Abhinav
  • Kio, Adaiyibo E.
  • Liu, Xin
  • Liu, Lei
  • Li, Qingchang

Abstract

This paper presents an academia-industry joint case study, which was conducted to quantify and compare multi-year changes in power production performance of multiple turbines scattered over a mid-size wind farm. This analysis is referred to as a space-time performance comparison. One key aspect in power performance analysis is to have the wind and environmental inputs controlled for. This research employs, in a sequential fashion, two principal modeling components to exercise tight control of multiple input conditions—a covariate matching method, followed by a Gaussian process model-based functional comparison. The analysis method is applied to a wind farm that houses 66 turbines on a moderately complex terrain. The power production and environmental data span nearly four years, during which period the turbines have gone through multiple technical upgrades. The space-time analysis presents a quantitative and global picture showing how turbines differ relative to each other as well as how each of them changes over time.

Suggested Citation

  • Ding, Yu & Kumar, Nitesh & Prakash, Abhinav & Kio, Adaiyibo E. & Liu, Xin & Liu, Lei & Li, Qingchang, 2021. "A case study of space-time performance comparison of wind turbines on a wind farm," Renewable Energy, Elsevier, vol. 171(C), pages 735-746.
    • Handle: RePEc:eee:renene:v:171:y:2021:i:c:p:735-746
    DOI: 10.1016/j.renene.2021.02.136
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121003153
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.02.136?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. Kjellin, J. & Bülow, F. & Eriksson, S. & Deglaire, P. & Leijon, M. & Bernhoff, H., 2011. "Power coefficient measurement on a 12 kW straight bladed vertical axis wind turbine," Renewable Energy, Elsevier, vol. 36(11), pages 3050-3053.
    2. Niu, Briana & Hwangbo, Hoon & Zeng, Li & Ding, Yu, 2018. "Evaluation of alternative power production efficiency metrics for offshore wind turbines and farms," Renewable Energy, Elsevier, vol. 128(PA), pages 81-90.
    3. Hwangbo, Hoon & Ding, Yu & Eisele, Oliver & Weinzierl, Guido & Lang, Ulrich & Pechlivanoglou, Georgios, 2017. "Quantifying the effect of vortex generator installation on wind power production: An academia-industry case study," Renewable Energy, Elsevier, vol. 113(C), pages 1589-1597.
    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. Davide Astolfi & Ravi Pandit & Andrea Lombardi & Ludovico Terzi, 2022. "Multivariate Data-Driven Models for Wind Turbine Power Curves including Sub-Component Temperatures," Energies, MDPI, vol. 16(1), pages 1-18, December.
    2. Pengfei Zhang & Zuoxia Xing & Shanshan Guo & Mingyang Chen & Qingqi Zhao, 2022. "A New Wind Turbine Power Performance Assessment Approach: SCADA to Power Model Based with Regression-Kriging," Energies, MDPI, vol. 15(13), pages 1-15, July.
    3. Davide Astolfi & Ravi Pandit & Ludovico Terzi & Andrea Lombardi, 2022. "Discussion of Wind Turbine Performance Based on SCADA Data and Multiple Test Case Analysis," Energies, MDPI, vol. 15(15), pages 1-17, July.
    4. Francesco Castellani & Ravi Pandit & Francesco Natili & Francesca Belcastro & Davide Astolfi, 2023. "Advanced Methods for Wind Turbine Performance Analysis Based on SCADA Data and CFD Simulations," Energies, MDPI, vol. 16(3), pages 1-15, January.

    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. Anders Goude & Morgan Rossander, 2017. "Force Measurements on a VAWT Blade in Parked Conditions," Energies, MDPI, vol. 10(12), pages 1-15, November.
    2. Meana-Fernández, Andrés & Solís-Gallego, Irene & Fernández Oro, Jesús Manuel & Argüelles Díaz, Katia María & Velarde-Suárez, Sandra, 2018. "Parametrical evaluation of the aerodynamic performance of vertical axis wind turbines for the proposal of optimized designs," Energy, Elsevier, vol. 147(C), pages 504-517.
    3. Lam, H.F. & Peng, H.Y., 2016. "Study of wake characteristics of a vertical axis wind turbine by two- and three-dimensional computational fluid dynamics simulations," Renewable Energy, Elsevier, vol. 90(C), pages 386-398.
    4. Chen, J. & Yang, H.X. & Liu, C.P. & Lau, C.H. & Lo, M., 2013. "A novel vertical axis water turbine for power generation from water pipelines," Energy, Elsevier, vol. 54(C), pages 184-193.
    5. Francesco Castellani & Ravi Pandit & Francesco Natili & Francesca Belcastro & Davide Astolfi, 2023. "Advanced Methods for Wind Turbine Performance Analysis Based on SCADA Data and CFD Simulations," Energies, MDPI, vol. 16(3), pages 1-15, January.
    6. Zhong, Junwei & Li, Jingyin & Liu, Huizhong, 2023. "Dynamic mode decomposition analysis of flow separation control on wind turbine airfoil using leading−edge rod," Energy, Elsevier, vol. 268(C).
    7. Goude, Anders & Bülow, Fredrik, 2013. "Robust VAWT control system evaluation by coupled aerodynamic and electrical simulations," Renewable Energy, Elsevier, vol. 59(C), pages 193-201.
    8. Zaki, Abanoub & Abdelrahman, M.A. & Ayad, Samir S. & Abdellatif, O.E., 2022. "Effects of leading edge slat on the aerodynamic performance of low Reynolds number horizontal axis wind turbine," Energy, Elsevier, vol. 239(PD).
    9. Md Zishan Akhter & Farag Khalifa Omar, 2021. "Review of Flow-Control Devices for Wind-Turbine Performance Enhancement," Energies, MDPI, vol. 14(5), pages 1-35, February.
    10. Gorle, J.M.R. & Chatellier, L. & Pons, F. & Ba, M., 2019. "Modulated circulation control around the blades of a vertical axis hydrokinetic turbine for flow control and improved performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 363-377.
    11. Raymond Byrne & Davide Astolfi & Francesco Castellani & Neil J. Hewitt, 2020. "A Study of Wind Turbine Performance Decline with Age through Operation Data Analysis," Energies, MDPI, vol. 13(8), pages 1-18, April.
    12. Davide Astolfi & Raymond Byrne & Francesco Castellani, 2020. "Analysis of Wind Turbine Aging through Operation Curves," Energies, MDPI, vol. 13(21), pages 1-21, October.
    13. Delafin, P.-L. & Nishino, T. & Kolios, A. & Wang, L., 2017. "Comparison of low-order aerodynamic models and RANS CFD for full scale 3D vertical axis wind turbines," Renewable Energy, Elsevier, vol. 109(C), pages 564-575.
    14. Nasery, Praanjal & Aziz Ezzat, Ahmed, 2023. "Yaw-adjusted wind power curve modeling: A local regression approach," Renewable Energy, Elsevier, vol. 202(C), pages 1368-1376.
    15. Eduard Dyachuk & Anders Goude, 2015. "Numerical Validation of a Vortex Model against ExperimentalData on a Straight-Bladed Vertical Axis Wind Turbine," Energies, MDPI, vol. 8(10), pages 1-21, October.
    16. Manolesos, M. & Chng, L. & Kaufmann, N. & Ouro, P. & Ntouras, D. & Papadakis, G., 2023. "Using vortex generators for flow separation control on tidal turbine profiles and blades," Renewable Energy, Elsevier, vol. 205(C), pages 1025-1039.
    17. 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.
    18. Unai Fernandez-Gamiz & Macarena Gomez-Mármol & Tomas Chacón-Rebollo, 2018. "Computational Modeling of Gurney Flaps and Microtabs by POD Method," Energies, MDPI, vol. 11(8), pages 1-19, August.
    19. Davide Astolfi & Francesco Castellani, 2019. "Wind Turbine Power Curve Upgrades: Part II," Energies, MDPI, vol. 12(8), pages 1-20, April.
    20. Daróczy, László & Janiga, Gábor & Thévenin, Dominique, 2016. "Analysis of the performance of a H-Darrieus rotor under uncertainty using Polynomial Chaos Expansion," Energy, Elsevier, vol. 113(C), pages 399-412.

    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:171:y:2021:i:c:p:735-746. 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.