Method for airborne measurement of the spatial wind speed distribution above complex terrain

被引:7
作者
Ingenhorst, Christian [1 ,3 ]
Jacobs, Georg [1 ]
Stoessel, Laura [2 ]
Schelenz, Ralf [2 ]
Juretzki, Bjoern [3 ]
机构
[1] Rhein Westfal TH Aachen, Inst Machine Elements & Syst Engn, D-52062 Aachen, Germany
[2] Rhein Westfal TH Aachen, Ctr Wind Power Drives, D-52074 Aachen, Germany
[3] IME Aachen GmbH, Inst Maschinenelemente & Maschinengestaltung, D-52074 Aachen, Germany
关键词
Antennas - Computational fluid dynamics - Investments - Landforms - Wind power - Wind speed;
D O I
10.5194/wes-6-427-2021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wind farm sites in complex terrain are subject to local wind phenomena, which have a relevant impact on a wind turbine's annual energy production. To reduce investment risk, an extensive site evaluation is therefore mandatory. Stationary long-term measurements are supplemented by computational fluid dynamics (CFD) simulations, which are a commonly used tool to analyse and understand the three-dimensional wind flow above complex terrain. Though under intensive research, such simulations still show a high sensitivity to various input parameters like terrain, atmosphere and numerical setup. In this paper, a different approach aims to measure instead of simulate wind speed deviations above complex terrain by using a flexible, airborne measurement system. An unmanned aerial vehicle is equipped with a standard ultrasonic anemometer. The uncertainty in the system is evaluated against stationary anemometer data at different heights and shows very good agreement, especially in mean wind speed (< 0.12 m s(-1)) and mean direction (< 2.4 degrees) estimation. A test measurement was conducted above a forested and hilly site to analyse the spatial and temporal variability in the wind situation. A position-dependent difference in wind speed increase of up to 30 % compared to a stationary anemometer is detected.
引用
收藏
页码:427 / 440
页数:14
相关论文
共 24 条
  • [1] Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles
    Abichandani, Pramod
    Lobo, Deepan
    Ford, Gabriel
    Bucci, Donald
    Kam, Moshe
    [J]. IEEE ACCESS, 2020, 8 : 54910 - 54927
  • [2] [Anonymous], 2017, TECHN RICHTL WIND BE
  • [3] Wind power resource assessment in complex terrain: Villonaco case-study using computational fluid dynamics analysis
    Ayala, M.
    Maldonado, J.
    Paccha, E.
    Riba, C.
    [J]. 3RD INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH, ICEER 2016, 2017, 107 : 41 - 48
  • [4] Comparison of CFD Simulation to UAS Measurements for Wind Flows in Complex Terrain: Application to the WINSENT Test Site
    El Bahlouli, Asmae
    Rautenberg, Alexander
    Schoen, Martin
    zum Berge, Kjell
    Bange, Jens
    Knaus, Hermann
    [J]. ENERGIES, 2019, 12 (10)
  • [5] Holland GJ, 2001, B AM METEOROL SOC, V82, P889, DOI 10.1175/1520-0477(2001)082<0889:TARAAN>2.3.CO
  • [6] 2
  • [7] International Electrotechnical Commision (IEC), 2017, WIND TURB
  • [8] Internationale Organisation fur Normung, 1995, GUID EXPR UNC MEAS
  • [9] The Relevance of Surface Roughness Data Qualities in Diagnostic Modeling of Wind Velocity in Complex Terrain: A Case Study from the Snieznik Massif (SW Poland)
    Jancewicz, Kacper
    Szymanowski, Mariusz
    [J]. PURE AND APPLIED GEOPHYSICS, 2017, 174 (02) : 569 - 594
  • [10] Atmospheric stability and complex terrain: comparing measurements and CFD
    Koblitz, T.
    Bechmann, A.
    Berg, J.
    Sogachev, A.
    Sorensen, N.
    Rethore, P-E
    [J]. SCIENCE OF MAKING TORQUE FROM WIND 2012, 2014, 555