Difference between revisions of "GE 1.5 MW Wind Turbine"
(Created page with "General Electric describe their GE 1.5sle 1.5 MW wind turbine as "the industry workhorse" and "the most widely used wind turbine in its class" with "12,000+ turbines are in op...") |
m |
||
| Line 15: | Line 15: | ||
In the graphic to the right, the red data points and trendline are the WEIBULL function; the green line actual manufacturer's data is from page 4 of the [https://geosci.uchicago.edu/~moyer/GEOS24705/Readings/GEA14954C15-MW-Broch.pdf GE brochure] | In the graphic to the right, the red data points and trendline are the WEIBULL function; the green line actual manufacturer's data is from page 4 of the [https://geosci.uchicago.edu/~moyer/GEOS24705/Readings/GEA14954C15-MW-Broch.pdf GE brochure] | ||
| − | This equation is used elsewhere for modelling the variability of the potential POWER generation from published hourly wind-speed data | + | This equation is used elsewhere [[North Sea Wind Variability]] for modelling the variability of the potential POWER generation from published hourly wind-speed data |
[[File:Weibull Fit.png|thumb]] | [[File:Weibull Fit.png|thumb]] | ||
Latest revision as of 15:57, 23 September 2021
General Electric describe their GE 1.5sle 1.5 MW wind turbine as "the industry workhorse" and "the most widely used wind turbine in its class" with "12,000+ turbines are in operation worldwide, 19 countries, 170+ million operating hours, 100,000+ GWh produced (Data as of March, 2009)"
Modelling the power curve
The theoretical relationship between wind speed and power output is a cube-law equation. In practice the power is capped at the nominal rating so above that wind speed the power is constant (up to the point where high winds require the turbine to be stopped for safety reasons)
Original work by FLUKE has identified a function available in the standard Microsoft Excel spreadsheet program that fits published data well following the general form
=P*WEIBULL.DIST(wind_velocity_m_per_s,ALPHA,BETA,TRUE)
where P is the peak rated power and ALPHA, BETA are two empirical constants chosen to 'best-fit' the data. Specifically for the GE 1.5sle:
=1500*WEIBULL.DIST(wind_velocity_m_per_s,4.3,9,TRUE)
In the graphic to the right, the red data points and trendline are the WEIBULL function; the green line actual manufacturer's data is from page 4 of the GE brochure
This equation is used elsewhere North Sea Wind Variability for modelling the variability of the potential POWER generation from published hourly wind-speed data
