Wind Turbine Payback in Waseca County, MN
Wind turbine payback in Waseca 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 Waseca County, MN averages 6.38 m/s (14.3 mph). A 10 kW turbine there would make about 22,521 kWh a year, worth $3,702 at MN's 16.44¢/kWh. Against an installed cost of about $100,000, that is a payback of 27 years, and the turbine is built to last about 20.
What to do in Waseca County
A home turbine is not worth buying for savings in Waseca County unless your spot is far windier than the county average, 7.5 m/s at the hub against 6.38 m/s here. Per kW, solar panels would make about 1,127 kWh a year here against the turbine's 2,252, so get a solar quote first.
What would have to change
- Power would have to cost 22¢/kWh, 1.4 times what MN pays now.
- Or the average wind at the hub would have to be 7.5 m/s instead of 6.38. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of MN
Waseca County is the 359th windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in MN is Lincoln County at 6.68 m/s, payback 25 years.
Month by month in Waseca County
April is the strongest month here, at 7.11 m/s and about 2,284 kWh. August is the weakest, 5.23 m/s and 1,200 kWh, so the best month makes 1.9 times the worst. November to March brings in 46% of the year's output in Waseca County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 6.72 m/s | 2,125 kWh | $349 |
| February | 6.73 m/s | 1,924 kWh | $316 |
| March | 6.82 m/s | 2,186 kWh | $359 |
| April | 7.11 m/s | 2,284 kWh | $375 |
| May | 6.54 m/s | 2,013 kWh | $331 |
| June | 5.93 m/s | 1,578 kWh | $259 |
| July | 5.26 m/s | 1,216 kWh | $200 |
| August | 5.23 m/s | 1,200 kWh | $197 |
| September | 6.30 m/s | 1,802 kWh | $296 |
| October | 6.68 m/s | 2,103 kWh | $346 |
| November | 6.74 m/s | 2,067 kWh | $340 |
| December | 6.54 m/s | 2,013 kWh | $331 |
What a taller tower would buy
Measured at 10 m the wind in Waseca County averages 5.04 m/s; at 50 m it is 7.12 m/s. That gives a shear exponent of 0.215, typical of ordinary open country. Going from 20 m to 50 m takes output from 18,572 to 27,897 kWh a year, 50% 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 | 5.85 m/s | 18,572 kWh | 33 years |
| 30 m | 6.38 m/s | 22,517 kWh | 27 years |
| 40 m | 6.79 m/s | 25,504 kWh | 24 years |
| 50 m | 7.12 m/s | 27,897 kWh | 22 years |
Counties around Waseca County
3 of the 6 closest counties are windier at turbine height; the windiest, Faribault County, averages 6.47 m/s.
- Steele County, MN: 6.45 m/s, 23,038 kWh, payback 26 years (18 mi)
- Blue Earth County, MN: 6.38 m/s, 22,521 kWh, payback 27 years (24 mi)
- Le Sueur County, MN: 6.23 m/s, 21,410 kWh, payback 28 years (25 mi)
- Freeborn County, MN: 6.43 m/s, 22,891 kWh, payback 27 years (27 mi)
- Rice County, MN: 6.17 m/s, 20,965 kWh, payback 29 years (27 mi)
- Faribault County, MN: 6.47 m/s, 23,186 kWh, payback 26 years (30 mi)
Sun versus wind in Waseca County
Waseca County gets 3.86 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,127 kWh a year; one kW of the turbine above makes 2,252. This is one of the rare places where a kilowatt of turbine out-produces a kilowatt of panels, by 2.0 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.