Wind Turbine Payback in Kay County, OK
Wind turbine payback in Kay County
No. The turbine wears out before it pays for itself.
At 30 m, the height a home turbine tower usually reaches, the wind in Kay County, OK averages 6.29 m/s (14.1 mph). A 10 kW turbine there would make about 21,855 kWh a year, worth $3,018 at OK's 13.81¢/kWh. Against an installed cost of about $100,000, that is a payback of 33 years, and the turbine is built to last about 20.
What to do in Kay County
A home turbine is not worth buying for savings in Kay County unless your spot is far windier than the county average, 8.4 m/s at the hub against 6.29 m/s here. Per kW, solar panels would make about 1,375 kWh a year here against the turbine's 2,186, so get a solar quote first.
What would have to change
- Power would have to cost 23¢/kWh, 1.7 times what OK pays now.
- Or the average wind at the hub would have to be 8.4 m/s instead of 6.29. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of OK
Kay County is the 482nd windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in OK is Cimarron County at 6.82 m/s, payback 28 years.
Month by month in Kay County
April is the strongest month here, at 7.32 m/s and about 2,406 kWh. August is the weakest, 5.24 m/s and 1,206 kWh, so the best month makes 2.0 times the worst. November to March brings in 45% of the year's output in Kay County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 6.32 m/s | 1,875 kWh | $259 |
| February | 6.44 m/s | 1,759 kWh | $243 |
| March | 6.92 m/s | 2,251 kWh | $311 |
| April | 7.32 m/s | 2,406 kWh | $332 |
| May | 6.41 m/s | 1,931 kWh | $267 |
| June | 6.21 m/s | 1,749 kWh | $242 |
| July | 5.35 m/s | 1,270 kWh | $175 |
| August | 5.24 m/s | 1,206 kWh | $167 |
| September | 5.82 m/s | 1,511 kWh | $209 |
| October | 6.52 m/s | 2,003 kWh | $277 |
| November | 6.69 m/s | 2,040 kWh | $282 |
| December | 6.31 m/s | 1,869 kWh | $258 |
What a taller tower would buy
Measured at 10 m the wind in Kay County averages 4.9 m/s; at 50 m it is 7.07 m/s. That gives a shear exponent of 0.228, typical of ordinary open country. Going from 20 m to 50 m takes output from 17,763 to 27,542 kWh a year, 55% more, before counting the extra cost of the taller tower. Why tower height decides it explains the shear behind these numbers.
| Hub height | Average wind | Output | Payback |
|---|---|---|---|
| 20 m | 5.74 m/s | 17,763 kWh | 41 years |
| 30 m | 6.29 m/s | 21,875 kWh | 33 years |
| 40 m | 6.72 m/s | 25,015 kWh | 29 years |
| 50 m | 7.07 m/s | 27,542 kWh | 26 years |
Counties around Kay County
None of the 6 closest counties is windier than Kay County.
- Noble County, OK: 6.23 m/s, 21,410 kWh, payback 34 years (30 mi)
- Cowley County, KS: 6.29 m/s, 21,855 kWh, payback 30 years (34 mi)
- Sumner County, KS: 6.29 m/s, 21,855 kWh, payback 30 years (35 mi)
- Grant County, OK: 6.29 m/s, 21,855 kWh, payback 33 years (36 mi)
- Pawnee County, OK: 6.21 m/s, 21,262 kWh, payback 34 years (43 mi)
- Osage County, OK: 6.16 m/s, 20,891 kWh, payback 35 years (43 mi)
Sun versus wind in Kay County
Kay County gets 4.71 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,375 kWh a year; one kW of the turbine above makes 2,186. This is one of the rare places where a kilowatt of turbine out-produces a kilowatt of panels, by 1.6 times. Panel output assumes an 80% system performance ratio. Wind or solar runs the same comparison for every county.
How this is worked out
Wind is NASA's Power climate record, the 2001-2025 average at 10 m and 50 m for the county's centre, carried to 30 m with this county's own measured wind shear and spread into hours with a Rayleigh distribution. The turbine is a generic 10 kW, 7 m rotor machine with 10% losses. Cost is $10,000 per kW installed with no tax credit, because the federal one ended in 2025. One county-centre number cannot see your hilltop or your tree line, so treat it as the starting point for a site survey, not a substitute. The full method and its weak spots are in how the numbers are made.