Wind Turbine Payback in Chester County, SC
Wind turbine payback in Chester 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 Chester County, SC averages 3.02 m/s (6.8 mph). A 10 kW turbine there would make about 2,661 kWh a year, worth $423 at SC's 15.9¢/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 Chester County
A home turbine is not worth buying for savings in Chester County unless your spot is far windier than the county average, 7.6 m/s at the hub against 3.02 m/s here. Per kW, solar panels would make about 1,326 kWh a year here against the turbine's 266, so get a solar quote first.
What would have to change
- Power would have to cost 188¢/kWh, 11.8 times what SC pays now.
- Or the average wind at the hub would have to be 7.6 m/s instead of 3.02. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of SC
Chester County is the 3,048th windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in SC is Beaufort County at 5.71 m/s, payback 36 years.
Month by month in Chester County
April is the strongest month here, at 3.53 m/s and about 366 kWh. August is the weakest, 2.39 m/s and 96 kWh, so the best month makes 3.8 times the worst. November to March brings in 51% of the year's output in Chester County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 3.27 m/s | 295 kWh | $47 |
| February | 3.36 m/s | 292 kWh | $46 |
| March | 3.46 m/s | 354 kWh | $56 |
| April | 3.53 m/s | 366 kWh | $58 |
| May | 3.09 m/s | 244 kWh | $39 |
| June | 2.67 m/s | 142 kWh | $23 |
| July | 2.50 m/s | 114 kWh | $18 |
| August | 2.39 m/s | 96 kWh | $15 |
| September | 2.84 m/s | 176 kWh | $28 |
| October | 3.02 m/s | 225 kWh | $36 |
| November | 3.15 m/s | 252 kWh | $40 |
| December | 3.11 m/s | 250 kWh | $40 |
What a taller tower would buy
Measured at 10 m the wind in Chester County averages 1.82 m/s; at 50 m it is 3.83 m/s. That gives a shear exponent of 0.462, typical of rough, sheltered ground: trees or buildings slow the low wind a lot. Going from 20 m to 50 m takes output from 1,368 to 5,753 kWh a year, 321% 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 | 2.51 m/s | 1,368 kWh | over 100 years |
| 30 m | 3.02 m/s | 2,675 kWh | over 100 years |
| 40 m | 3.45 m/s | 4,152 kWh | over 100 years |
| 50 m | 3.83 m/s | 5,753 kWh | over 100 years |
Counties around Chester County
5 of the 6 closest counties are windier at turbine height; the windiest, Cherokee County, averages 3.7 m/s.
- York County, SC: 3.65 m/s, 4,948 kWh, payback over 100 years (19 mi)
- Fairfield County, SC: 3.02 m/s, 2,661 kWh, payback over 100 years (20 mi)
- Union County, SC: 3.16 m/s, 3,099 kWh, payback over 100 years (26 mi)
- Lancaster County, SC: 3.44 m/s, 4,094 kWh, payback over 100 years (26 mi)
- Cherokee County, SC: 3.7 m/s, 5,164 kWh, payback over 100 years (36 mi)
- Newberry County, SC: 3.16 m/s, 3,099 kWh, payback over 100 years (37 mi)
Sun versus wind in Chester County
Chester County gets 4.54 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,326 kWh a year; one kW of the turbine above makes 266. Kilowatt for kilowatt, panels make 5.0 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.