Wind Turbine Payback in Escambia County, FL
Wind turbine payback in Escambia 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 Escambia County, FL averages 4.33 m/s (9.7 mph). A 10 kW turbine there would make about 8,346 kWh a year, worth $1,279 at FL's 15.32¢/kWh. Against an installed cost of about $100,000, that is a payback of 78 years, and the turbine is built to last about 20.
What to do in Escambia County
A home turbine is not worth buying for savings in Escambia County unless your spot is far windier than the county average, 7.8 m/s at the hub against 4.33 m/s here. Per kW, solar panels would make about 1,431 kWh a year here against the turbine's 835, so get a solar quote first.
What would have to change
- Power would have to cost 60¢/kWh, 3.9 times what FL pays now.
- Or the average wind at the hub would have to be 7.8 m/s instead of 4.33. A taller tower or an exposed ridge can add some of that; a rooftop never will.
Against the rest of FL
Escambia County is the 1,877th windiest of 3,144 US counties at turbine height; the national middle is 4.79 m/s. The windiest in FL is Brevard County at 5.62 m/s, payback 39 years.
Month by month in Escambia County
January is the strongest month here, at 5.01 m/s and about 1,072 kWh. July is the weakest, 3.40 m/s and 335 kWh, so the best month makes 3.2 times the worst. November to March brings in 56% of the year's output in Escambia County.
| Month | Wind at 30 m | Output | Worth |
|---|---|---|---|
| January | 5.01 m/s | 1,072 kWh | $164 |
| February | 4.92 m/s | 918 kWh | $141 |
| March | 4.85 m/s | 977 kWh | $150 |
| April | 4.66 m/s | 848 kWh | $130 |
| May | 4.08 m/s | 593 kWh | $91 |
| June | 3.57 m/s | 378 kWh | $58 |
| July | 3.40 m/s | 335 kWh | $51 |
| August | 3.42 m/s | 341 kWh | $52 |
| September | 4.02 m/s | 548 kWh | $84 |
| October | 4.44 m/s | 763 kWh | $117 |
| November | 4.77 m/s | 904 kWh | $138 |
| December | 4.92 m/s | 1,017 kWh | $156 |
What a taller tower would buy
Measured at 10 m the wind in Escambia County averages 3.3 m/s; at 50 m it is 4.92 m/s. That gives a shear exponent of 0.248, typical of ordinary open country. Going from 20 m to 50 m takes output from 6,182 to 11,999 kWh a year, 94% 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 | 3.92 m/s | 6,182 kWh | over 100 years |
| 30 m | 4.33 m/s | 8,372 kWh | 78 years |
| 40 m | 4.66 m/s | 10,289 kWh | 63 years |
| 50 m | 4.92 m/s | 11,999 kWh | 54 years |
Counties around Escambia County
3 of the 6 closest counties are windier at turbine height; the windiest, Santa Rosa County, averages 4.82 m/s.
- Santa Rosa County, FL: 4.82 m/s, 11,341 kWh, payback 58 years (21 mi)
- Baldwin County, AL: 4.33 m/s, 8,346 kWh, payback 73 years (27 mi)
- Escambia County, AL: 3.47 m/s, 4,211 kWh, payback over 100 years (42 mi)
- Okaloosa County, FL: 4.82 m/s, 11,341 kWh, payback 58 years (44 mi)
- Mobile County, AL: 4.72 m/s, 10,698 kWh, payback 57 years (53 mi)
- Conecuh County, AL: 2.95 m/s, 2,455 kWh, payback over 100 years (65 mi)
Sun versus wind in Escambia County
Escambia County gets 4.9 kWh of sunshine per square metre a day on average. One kW of solar panels here would make roughly 1,431 kWh a year; one kW of the turbine above makes 835. Kilowatt for kilowatt, panels make 1.7 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.