Wind Turbine Payback in Conecuh County, AL
Wind turbine payback in Conecuh 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 Conecuh County, AL averages 2.95 m/s (6.6 mph). A 10 kW turbine there would make about 2,455 kWh a year, worth $405 at AL's 16.51¢/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 Conecuh County
A home turbine is not worth buying for savings in Conecuh County unless your spot is far windier than the county average, 7.5 m/s at the hub against 2.95 m/s here. Per kW, solar panels would make about 1,372 kWh a year here against the turbine's 246, so get a solar quote first.
What would have to change
- Power would have to cost 204¢/kWh, 12.3 times what AL pays now.
- Or the average wind at the hub would have to be 7.5 m/s instead of 2.95. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of AL
Conecuh County is the 3,083rd windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in AL is Mobile County at 4.72 m/s, payback 57 years.
Month by month in Conecuh County
March is the strongest month here, at 3.35 m/s and about 319 kWh. July is the weakest, 2.34 m/s and 89 kWh, so the best month makes 3.6 times the worst. November to March brings in 55% of the year's output in Conecuh County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 3.26 m/s | 291 kWh | $48 |
| February | 3.30 m/s | 273 kWh | $45 |
| March | 3.35 m/s | 319 kWh | $53 |
| April | 3.30 m/s | 293 kWh | $48 |
| May | 2.90 m/s | 196 kWh | $32 |
| June | 2.49 m/s | 109 kWh | $18 |
| July | 2.34 m/s | 89 kWh | $15 |
| August | 2.37 m/s | 93 kWh | $15 |
| September | 2.78 m/s | 165 kWh | $27 |
| October | 3.05 m/s | 233 kWh | $38 |
| November | 3.23 m/s | 273 kWh | $45 |
| December | 3.18 m/s | 269 kWh | $44 |
What a taller tower would buy
Measured at 10 m the wind in Conecuh County averages 1.72 m/s; at 50 m it is 3.8 m/s. That gives a shear exponent of 0.493, typical of rough, sheltered ground: trees or buildings slow the low wind a lot. Going from 20 m to 50 m takes output from 1,189 to 5,614 kWh a year, 372% 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 | 2.42 m/s | 1,189 kWh | over 100 years |
| 30 m | 2.95 m/s | 2,467 kWh | over 100 years |
| 40 m | 3.4 m/s | 3,958 kWh | over 100 years |
| 50 m | 3.8 m/s | 5,614 kWh | over 100 years |
Counties around Conecuh County
5 of the 6 closest counties are windier at turbine height; the windiest, Covington County, averages 3.69 m/s.
- Escambia County, AL: 3.47 m/s, 4,211 kWh, payback over 100 years (24 mi)
- Monroe County, AL: 2.97 m/s, 2,513 kWh, payback over 100 years (25 mi)
- Butler County, AL: 3 m/s, 2,601 kWh, payback over 100 years (29 mi)
- Covington County, AL: 3.69 m/s, 5,121 kWh, payback over 100 years (34 mi)
- Wilcox County, AL: 2.94 m/s, 2,427 kWh, payback over 100 years (43 mi)
- Crenshaw County, AL: 3.1 m/s, 2,906 kWh, payback over 100 years (44 mi)
Sun versus wind in Conecuh County
Conecuh County gets 4.7 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,372 kWh a year; one kW of the turbine above makes 246. Kilowatt for kilowatt, panels make 5.6 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.