Tham khảo tài liệu 'wind farm impact in power system and alternatives to improve the integration part 7', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Methodologies Used in the Extrapolation of Wind Speed Data at Different Heights and Its Impact in the Wind Energy Resource Assessment in a Region 109 Month a monthly average 1 Speed to 20 m m s 2 Speed to 40 m m s 3 Speed to 40 m m s 4 Zo monthly average 5 Speed to 20 m m s 6 Speed to 40 m m s 7 Speed to 40 m m s 8 August 2005 September 2005 October 2005 November 2005 December 2005 January 2006 February 2006 March 2006 April 2006 May 2006 June 2006 July 2006 Annual average Notes 1 Friction coefficient monthly average using a1 a2 113 from Table 6 2 Calculated speed with friction coefficient a1 from Table 6 3 Calculated speed with friction coefficient a2 from Table 6 4 Calculated speed with friction coefficient 113 from Table 6 5 Roughness coefficient monthly average using columns 8 9 and 10 in m. from Table 6 6 Calculated speed with roughness coefficient Zo for H1 H2 V1 V2 from Table 6 7 Calculated speed with roughness Zo for H1 H3 V1 V3 from Table 6 8 Calculated speed with roughness Zo for H2 H3 V2 V3 from Table 6 Table 7. Wind speed data and readings when applying average friction and roughness coefficients in rural areas Fig. 9 shows for this case the variation experienced by the friction and roughness coefficients. The variation of the roughness coefficient for the height included in the analysis and for a specific month is also very noticeable Fig. 10 . As it can be concluded from the data captured in the foregoing figures in
