Evaluation of four numerical wind flow models for wind resource mapping

Wind Energy

Volumn 17, Issue 2, 2014, Pages 197-208

  Beaucage, Philippe ^a   Brower, Michael C ^a   Tensen, Jeremy ^a  

^a AWS Truepower LLC   (United States)

Author keywords

computational fluid dynamics; large eddy simulation; numerical weather prediction model; wind energy; wind flow modeling; wind resource assessment

Indexed keywords

CLIMATE MODELS; COMPUTATIONAL FLUID DYNAMICS; LARGE EDDY SIMULATION; MAPPING; MEAN SQUARE ERROR; NAVIER STOKES EQUATIONS; PREDICTIVE ANALYTICS; WEATHER FORECASTING; WIND; WIND POWER;

COMPUTATIONAL FLUID DYNAMICS METHODS; HIGH-QUALITY OBSERVATIONS; NUMERICAL WEATHER PREDICTION MODELS; REYNOLDS AVERAGED NAVIER-STOKES MODELS; ROOT MEAN SQUARE ERRORS; SURFACE CHARACTERISTICS; WIND RESOURCE ASSESSMENT; WIND-FLOW MODEL;

NUMERICAL MODELS;

COMPUTATIONAL FLUID DYNAMICS; NAVIER-STOKES EQUATIONS; NUMERICAL MODEL; RESOURCE ASSESSMENT; REYNOLDS NUMBER; TERRAIN; WEATHER FORECASTING; WIND; WIND POWER; WIND VELOCITY;

EID: 84893001475     PISSN: 10954244     EISSN: 10991824     Source Type: Journal    
DOI: 10.1002/we.1568     Document Type: Article

References (44)

1. Troen I, Petersen EL,. European wind atlas. Report from the Risø National Laboratory, Roskilde, Denmark, 1989.
2. Troen I,. A High resolution spectral model for flow in complex terrain. Proceedings from the 9th Symposium on Turbulence and Diffusion, Roskilde, Denmark, 1990.
3. Taylor PA, Walmsley JL, Salmon JR,. A simple model of neutrally stratified boundary-layer flow over real terrain incorporating wave number-dependent scaling. Boundary Layer Meteorology 1983; 26: 169-189.
4. Walmsley JL, Taylor PA, Keith T,. A simple model of neutrally stratified boundary-layer flow over complex terrain with surface roughness modulations (MS3DJH/3R). Boundary Layer Meteorology 1986; 36: 157-186.
5. Beljaars ACM, Walmsley JL, Taylor PA,. A mixed spectral finite-difference model for neutrally stratified boundary-layer flow over roughness changes and topography. Boundary Layer Meteorology 1987; 38: 273-303.
6. Jackson PS, Hunt JCR,. Turbulent wind flow over low hill. Quarterly Journal of Royal Meteorological Society 1975; 101: 929-955.
7. Bitsuamlak GT, Stathopoulos T, Bédard C,. Numerical evaluation of wind flow over complex terrain: review. Journal of Aerospace Engineering 2004; 17: 135-145.
8. Berge E, Gravdahl AR, Schelling J, Tallhaug L, Undheim O,. Wind in complex terrain. A comparison of WAsP and two CFD-models. Proceedings from EWEC, Athens, Greece, 2006.
9. Periera R, Guedes R, Santos CS,. Comparing WAsP and CFD wind resource estimates for the 'regular' user. Proceedings from EWEC, Warsaw, Poland, 2010.
10. VanLuvanee DR, Rogers T, Randall G, Williamson A, Miller T,. Comparison of WAsP, MS-Micro/3, CFD, NWP, and analytical methods for estimating site-wide wind speeds. Presentation from AWEA Wind Resource Assessment Workshop, Minneapolis, MN, 2009.
11. Sumner J, Sibuet Watters C, Masson C,. CFD in wind energy: the virtual, multiscale wind tunnel. Energies 2010; 3: 989-1013.
12. Manobianco J, Zack JW, Taylor GE,. Workstation-based real-time mesoscale modeling designed for weather support to operations at the Kennedy Space Center and Cape Canaveral Air Station. Bulletin of the American Meteorological Society 1996; 77: 653-672.
13. Xue M, Droegemeier KK, Wong V,. The advanced regional prediction system (ARPS)-a multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: model dynamics and verification. Meteorology and Atmospheric Physics 2000; 75: 161-193.
14. Xue M, Droegemeier KK, Wong V, Shapiro A, Brewster K, Carr F, Weber D, Liu Y, Wang D,. The advanced regional prediction system (ARPS)-a multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: model physics and applications. Meteorology and Atmospheric Physics 2001; 76: 143-165.
15. Adrian G, Fiedler F,. Simulation of unstationary wind and temperature fields over complex terrain and comparison with observations. Beitraege zur Physik der Atmosphaere 1991; 64: 27-48.
16. Brower M,. Validation of the WindMap program and development of MesoMap. Proceeding from AWEA's WindPower Conference, Washington, DC, USA, 1999.
17. Scire JS, Robe FR, Fernau ME, Yamartino RJ,. A user's guide for the CALMET meteorological model (version 5). Report from Earth Tech, Inc., Concord, Massachusetts, USA, 2000; 332.
18. Frank HP, Landberg L,. Modeling the wind climate of Ireland. Boundary Layer Meteorology 1997; 85: 359-378.
19. Reed R, Brower M, Kreiselman J,. Comparing SiteWind with standard models for energy output estimation. Proceedings from EWEC, London, UK, 2004.
20. Baik J-J, Park S-B, Kim J-J,. Urban flow and dispersion simulation using a CFD model coupled to a mesoscale model. Journal of Applied Meteorology and Climatology 2009; 48: 1667-1681.
21. Tewari M, Kusaka H, Chen F, Coirier WJ, Kim S, Wyszogrodzki AA, Warner TT,. Impact of coupling a microscale computational fluid dynamics model with a mesoscale model on urban scale contaminant transport and dispersion. Atmospheric Research. 2010; 96: 656-664.
22. Deardorff JW,. Numerical investigation of neutral and unstable planetary boundary layers. Journal of the Atmospheric Sciences 1972; 29: 91-115.
23. Moeng C-H, Wyngaard JC,. Statistics of conservative scalars in the convective boundary layer. Journal of the Atmospheric Sciences 1984; 41: 3161-3169.
24. Smagorinsky J,. General circulation experiments with the primitive equations. Monthly Weather Review 1963; 91: 99-164.
25. Mortensen NG, Bowen AJ, Antoniou I,. Improving WAsP predictions in (too) complex terrain. Proceedings from EWEC, Brussels, Belgium, 2008.
26. Hale E, Fusina L, Brower M,. Correction factors for NRG #40 anemometers potentially affected by dry friction whip: characterization, analysis, and validation. Wind Energy. 2011; 15: 489-502
27. Dellwik E, Landberg L, Jensen NO,. WAsP in the forest. Wind Energy. 2006; 9: 211-218
28. Brower M,. Wind resource assessment: a practical guide to developing a wind project. Wiley editions: New York, 2012; 280.
29. 2l turbulence closure model. Journal of Atmospheric Sciences 1983; 40: 91-106.
30. Arritt RW,. The effect of water surface boundary layers. Boundary Layer Meteorology 1987; 40: 101-125.
31. Meteodyn. Meteodyn WT user manual. Technical Report from Meteodyn, Le Mans, France, 2008; 83 pp.
32. Therry G, Laccarrère P,. Improving the eddy kinetic energy model for planetary boundary layer description. Boundary Layer Meteorology 1983; 25: 63-88.
33. Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds B, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo K, Ropelewski C, Wang J, Jenne R, Joseph D,. The NCEP-NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society 1996; 77: 437-471.
34. Brower M, Zack JW, Bailey B, Scwartz MN, Elliot DL,. Mesoscale modeling as a tool for wind resource assessment and mapping. Proceeding from the American Meteorological Society conference, Seattle, WA, USA, 2004.
35. Sun W-Y, Chang C-Z,. Diffusion model for a convective layer. Part I: numerical simulation of convective boundary layer. Journal of Climate and Applied Meteorology 1986; 25: 1445-1453.
36. Deardorff JW,. Stratocumulus-capped mixed layers derived from a three-dimensional model. Boundary Layer Meteorology 1980; 18: 495-527.
37. Andren A, Brown AR, Mason PJ, Graf J, Schumann U, Moeng C-H, Nieuwstadt FTM,. Large-eddy simulation of a neutrally stratified boundary layer: a comparison of four computer codes. Quarterly Journal of the Royal Meteorological Society 1994; 120: 1457-1484.
38. Chow FK, Street RL,. Evaluation of turbulence closure models for large-eddy simulation over complex terrain: flow over Askervein Hill. Journal of Applied Meteorology and Climatology 2009; 48: 1050-1065.
39. Mirocha JD, Lundquist JK, Kosovic B,. Implementation of a nonlinear subfilter turbulence stress model for large-eddy simulation in the advanced research WRF. Monthly Weather Review 2011; 138: 4212-4228.
40. van Wijk AJM, Beljaars ACM, Holtslag AAM, Turkenburg WC,. Evaluation of stability corrections in wind speed profiles over the North Sea. Journal of Wind Engineering and Industrial Aerodynamics 1990; 33: 551-566.
41. Barthelmie RJ,. The effects of atmospheric stability on coastal wind climates. Meteorological Applications 1999; 6: 39-47.
42. Rife DL, Pinto JO, Monaghan AJ, Davis CA, Hannan JR,. Global distribution and characteristics of diurnally varying low-level jets. Journal of Climate 2010; 23: 5041-5046.
43. Crawford KC, Hudson HR,. The diurnal wind variation in the lowest 1500 ft in central Oklahoma: June 1966-May 1967. Journal of Applied Meteorology 1973; 12: 127-132.
44. Frank HP, Rathman O, Mortensen NG, Landberg L,. The numerical wind atlas-the KAMM/WAsP method. Report from the Risø DTU National Laboratory, Roskilde, Denmark, 2001; 59 pp.