Wind Turbine Payback in Warren County, OH
Wind turbine payback in Warren 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 Warren County, OH averages 5.33 m/s (11.9 mph). A 10 kW turbine there would make about 14,821 kWh a year, worth $2,788 at OH's 18.81¢/kWh. Against an installed cost of about $100,000, that is a payback of 36 years, and the turbine is built to last about 20.
What to do in Warren County
A home turbine is not worth buying for savings in Warren County unless your spot is far windier than the county average, 6.9 m/s at the hub against 5.33 m/s here. Per kW, solar panels would make about 1,165 kWh a year here against the turbine's 1,482, so get a solar quote first.
What would have to change
- Power would have to cost 34¢/kWh, 1.8 times what OH pays now.
- Or the average wind at the hub would have to be 6.9 m/s instead of 5.33. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of OH
Warren County is the 1,315th windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in OH is Lake County at 6.53 m/s, payback 23 years.
Month by month in Warren County
January is the strongest month here, at 6.19 m/s and about 1,793 kWh. July is the weakest, 3.97 m/s and 546 kWh, so the best month makes 3.3 times the worst. November to March brings in 54% of the year's output in Warren County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 6.19 m/s | 1,793 kWh | $337 |
| February | 6.12 m/s | 1,580 kWh | $297 |
| March | 6.11 m/s | 1,743 kWh | $328 |
| April | 6.23 m/s | 1,762 kWh | $331 |
| May | 5.20 m/s | 1,178 kWh | $222 |
| June | 4.54 m/s | 789 kWh | $148 |
| July | 3.97 m/s | 546 kWh | $103 |
| August | 3.98 m/s | 550 kWh | $103 |
| September | 4.50 m/s | 767 kWh | $144 |
| October | 5.43 m/s | 1,321 kWh | $248 |
| November | 5.83 m/s | 1,516 kWh | $285 |
| December | 5.89 m/s | 1,605 kWh | $302 |
What a taller tower would buy
Measured at 10 m the wind in Warren County averages 4.05 m/s; at 50 m it is 6.05 m/s. That gives a shear exponent of 0.249, typical of ordinary open country. Going from 20 m to 50 m takes output from 11,314 to 20,075 kWh a year, 77% 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 | 4.82 m/s | 11,314 kWh | 47 years |
| 30 m | 5.33 m/s | 14,802 kWh | 36 years |
| 40 m | 5.72 m/s | 17,660 kWh | 30 years |
| 50 m | 6.05 m/s | 20,075 kWh | 27 years |
Counties around Warren County
3 of the 6 closest counties are windier at turbine height; the windiest, Montgomery County, averages 5.77 m/s.
- Clinton County, OH: 5.48 m/s, 15,893 kWh, payback 34 years (20 mi)
- Butler County, OH: 5.33 m/s, 14,821 kWh, payback 36 years (21 mi)
- Greene County, OH: 5.48 m/s, 15,893 kWh, payback 34 years (23 mi)
- Montgomery County, OH: 5.77 m/s, 18,006 kWh, payback 30 years (24 mi)
- Hamilton County, OH: 3.7 m/s, 5,164 kWh, payback over 100 years (25 mi)
- Clermont County, OH: 3.7 m/s, 5,164 kWh, payback over 100 years (26 mi)
Sun versus wind in Warren County
Warren County gets 3.99 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,165 kWh a year; one kW of the turbine above makes 1,482. This is one of the rare places where a kilowatt of turbine out-produces a kilowatt of panels, by 1.3 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.