메뉴 건너뛰기




Volumn 2, Issue 1, 2017, Pages 257-267

Lidar-based wake tracking for closed-loop wind farm control

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; ELECTRIC UTILITIES; OPTICAL RADAR; WIND POWER; WIND TURBINES;

EID: 85044233402     PISSN: 23667443     EISSN: 23667451     Source Type: Journal    
DOI: 10.5194/wes-2-257-2017     Document Type: Article
Times cited : (17)

References (16)
  • 3
    • 78649805811 scopus 로고    scopus 로고
    • (last access: 15 May 2017)
    • Churchfield, M., Lee, S.: NWTC design codes-SOWFA, available at: Http://wind.nrel.gov/designcodes/simulators/SOWFA (last access: 15 May 2017), 2012.
    • (2012) NWTC design codes-SOWFA
    • Churchfield, M.1    Lee, S.2
  • 4
    • 84997235961 scopus 로고    scopus 로고
    • A stochastic wind turbine wake model based on new metrics for wake characterization
    • Doubrawa, P., Barthelmie, R. J., Wang, H., Churchfield, M. J.: A stochastic wind turbine wake model based on new metrics for wake characterization, Wind Energy, 20, 449-463, doi:10.1002/we.2015, 2017.
    • (2017) Wind Energy , vol.20 , pp. 449-463
    • Doubrawa, P.1    Barthelmie, R. J.2    Wang, H.3    Churchfield, M. J.4
  • 7
    • 84954091136 scopus 로고    scopus 로고
    • Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study
    • Gebraad, P. M. O., Teeuwisse, F. W., van Wingerden, J., Fleming, P., Ruben, S. D., Marden, J. R., Pao, L. Y.:Wind plant power optimization through yaw control using a parametric model for wake effects-a CFD simulation study, Wind Energy, 19, 95-114, doi:10.1002/we.1822, 2014.
    • (2014) Wind Energy , vol.19 , pp. 95-114
    • Gebraad, P. M. O.1    Teeuwisse, F. W.2    van Wingerden, J.3    Fleming, P.4    Ruben, S. D.5    Marden, J. R.6    Pao, L. Y.7
  • 9
    • 85073696905 scopus 로고    scopus 로고
    • Application of a LES technique to characterize the wake deflection of a wind turbine in yaw
    • Jiménez, Á., Crespo, A., Migoya, E.: Application of a LES technique to characterize the wake deflection of a wind turbine in yaw, Wind Energy, 13, 559-572, 2010.
    • (2010) Wind Energy , vol.13 , pp. 559-572
    • Jiménez, Á.1    Crespo, A.2    Migoya, E.3
  • 10
    • 84923364197 scopus 로고    scopus 로고
    • Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics
    • Lundquist, J. K., Churchfield, M. J., Lee, S., Clifton, A.: Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics, Atmos. Meas. Tech., 8, 907-920, doi:10.5194/amt-8-907-2015, 2015.
    • (2015) Atmos. Meas. Tech , vol.8 , pp. 907-920
    • Lundquist, J. K.1    Churchfield, M. J.2    Lee, S.3    Clifton, A.4
  • 16
    • 85023636698 scopus 로고    scopus 로고
    • Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: An LES study
    • Vollmer, L., Steinfeld, G., Heinemann, D., Kühn, M.: Estimating the wake deflection downstream of a wind turbine in different atmospheric stabilities: An LES study, Wind Energ. Sci., 1, 129-141, doi:10.5194/wes-1-129-2016, 2016.
    • (2016) Wind Energ. Sci , vol.1 , pp. 129-141
    • Vollmer, L.1    Steinfeld, G.2    Heinemann, D.3    Kühn, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.