Wind Turbine Payback in Columbia County, GA
Wind turbine payback in Columbia 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 Columbia County, GA averages 3.71 m/s (8.3 mph). A 10 kW turbine there would make about 5,209 kWh a year, worth $806 at GA's 15.48¢/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 Columbia County
A home turbine is not worth buying for savings in Columbia County unless your spot is far windier than the county average, 7.8 m/s at the hub against 3.71 m/s here. Per kW, solar panels would make about 1,349 kWh a year here against the turbine's 521, so get a solar quote first.
What would have to change
- Power would have to cost 96¢/kWh, 6.2 times what GA pays now.
- Or the average wind at the hub would have to be 7.8 m/s instead of 3.71. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of GA
Columbia County is the 2,280th windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in GA is Glynn County at 5.08 m/s, payback 49 years.
Month by month in Columbia County
March is the strongest month here, at 4.29 m/s and about 691 kWh. August is the weakest, 2.90 m/s and 196 kWh, so the best month makes 3.5 times the worst. November to March brings in 53% of the year's output in Columbia County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 4.12 m/s | 610 kWh | $94 |
| February | 4.16 m/s | 568 kWh | $88 |
| March | 4.29 m/s | 691 kWh | $107 |
| April | 4.27 m/s | 657 kWh | $102 |
| May | 3.72 m/s | 446 kWh | $69 |
| June | 3.20 m/s | 267 kWh | $41 |
| July | 3.00 m/s | 220 kWh | $34 |
| August | 2.90 m/s | 196 kWh | $30 |
| September | 3.45 m/s | 341 kWh | $53 |
| October | 3.68 m/s | 430 kWh | $67 |
| November | 3.87 m/s | 488 kWh | $76 |
| December | 3.91 m/s | 521 kWh | $81 |
What a taller tower would buy
Measured at 10 m the wind in Columbia County averages 2.5 m/s; at 50 m it is 4.46 m/s. That gives a shear exponent of 0.360, typical of rough, sheltered ground: trees or buildings slow the low wind a lot. Going from 20 m to 50 m takes output from 3,255 to 9,100 kWh a year, 180% 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 | 3.21 m/s | 3,255 kWh | over 100 years |
| 30 m | 3.71 m/s | 5,212 kWh | over 100 years |
| 40 m | 4.12 m/s | 7,173 kWh | 90 years |
| 50 m | 4.46 m/s | 9,100 kWh | 71 years |
Counties around Columbia County
1 of the 6 closest counties is windier at turbine height; the windiest, Richmond County, averages 4.27 m/s.
- McDuffie County, GA: 3.71 m/s, 5,209 kWh, payback over 100 years (14 mi)
- Richmond County, GA: 4.27 m/s, 8,008 kWh, payback 81 years (17 mi)
- Lincoln County, GA: 3.08 m/s, 2,844 kWh, payback over 100 years (20 mi)
- Edgefield County, SC: 3.26 m/s, 3,436 kWh, payback over 100 years (23 mi)
- McCormick County, SC: 3.08 m/s, 2,844 kWh, payback over 100 years (24 mi)
- Warren County, GA: 3.71 m/s, 5,209 kWh, payback over 100 years (26 mi)
Sun versus wind in Columbia County
Columbia County gets 4.62 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,349 kWh a year; one kW of the turbine above makes 521. Kilowatt for kilowatt, panels make 2.6 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.