Wind Turbine Payback in Carroll County, OH
Wind turbine payback in Carroll 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 Carroll County, OH averages 3.67 m/s (8.2 mph). A 10 kW turbine there would make about 5,034 kWh a year, worth $947 at OH's 18.81¢/kWh. Against an installed cost of about $100,000, that is a payback of over 100 years, and the turbine is built to last about 20.
What to do in Carroll County
A home turbine is not worth buying for savings in Carroll County unless your spot is far windier than the county average, 6.9 m/s at the hub against 3.67 m/s here. Per kW, solar panels would make about 1,110 kWh a year here against the turbine's 503, so get a solar quote first.
What would have to change
- Power would have to cost 99¢/kWh, 5.3 times what OH pays now.
- Or the average wind at the hub would have to be 6.9 m/s instead of 3.67. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of OH
Carroll County is the 2,308th 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 Carroll County
January is the strongest month here, at 4.37 m/s and about 729 kWh. August is the weakest, 2.81 m/s and 177 kWh, so the best month makes 4.1 times the worst. November to March brings in 58% of the year's output in Carroll County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 4.37 m/s | 729 kWh | $137 |
| February | 4.42 m/s | 680 kWh | $128 |
| March | 4.24 m/s | 667 kWh | $125 |
| April | 4.19 m/s | 620 kWh | $117 |
| May | 3.44 m/s | 349 kWh | $66 |
| June | 3.16 m/s | 255 kWh | $48 |
| July | 2.85 m/s | 186 kWh | $35 |
| August | 2.81 m/s | 177 kWh | $33 |
| September | 3.07 m/s | 231 kWh | $43 |
| October | 3.62 m/s | 410 kWh | $77 |
| November | 3.86 m/s | 486 kWh | $91 |
| December | 4.00 m/s | 559 kWh | $105 |
What a taller tower would buy
Measured at 10 m the wind in Carroll County averages 2.32 m/s; at 50 m it is 4.54 m/s. That gives a shear exponent of 0.417, typical of rough, sheltered ground: trees or buildings slow the low wind a lot. Going from 20 m to 50 m takes output from 2,901 to 9,580 kWh a year, 230% 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 | 3.1 m/s | 2,901 kWh | over 100 years |
| 30 m | 3.67 m/s | 5,029 kWh | over 100 years |
| 40 m | 4.14 m/s | 7,283 kWh | 73 years |
| 50 m | 4.54 m/s | 9,580 kWh | 56 years |
Counties around Carroll County
1 of the 6 closest counties is windier at turbine height; the windiest, Stark County, averages 4.24 m/s.
- Harrison County, OH: 3.67 m/s, 5,034 kWh, payback over 100 years (20 mi)
- Columbiana County, OH: 3.55 m/s, 4,530 kWh, payback over 100 years (21 mi)
- Jefferson County, OH: 3.44 m/s, 4,094 kWh, payback over 100 years (21 mi)
- Stark County, OH: 4.24 m/s, 7,842 kWh, payback 68 years (22 mi)
- Tuscarawas County, OH: 3.67 m/s, 5,034 kWh, payback over 100 years (22 mi)
- Hancock County, WV: 3.44 m/s, 4,094 kWh, payback over 100 years (28 mi)
Sun versus wind in Carroll County
Carroll County gets 3.8 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,110 kWh a year; one kW of the turbine above makes 503. Kilowatt for kilowatt, panels make 2.2 times as much here as the turbine. 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.