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Wind calculator

Wind farm calculator: energy, LCOE, IRR and debt sizing

A utility-scale project model in one page: turbines, capacity factor or wind speed, capex, opex, PPA price and debt → annual MWh, LCOE, project and equity IRR, DSCR, land area and homes powered.

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Results

54 MW producing 173,887 MWh/yr (net CF 36.8%). LCOE 54 €/MWh vs a 68 €/MWh price. Bankable-looking: equity IRR 20.3%, minimum DSCR 1.75.
Annual energy (P50, year 1)
173.9GWh
48,302 average EU homes
Net capacity factor
36.8%
gross 43.2% · 3,220 full-load h
LCOE
54€/MWh
at 6.5% WACC over 30 years
Project IRR (unlevered)
12.6%
NPV 55 M€
Equity IRR
20.3%
70% debt at 5.5% over 15 years
Min / avg DSCR
1.75 / 1.85
debt service 5.27 M€/yr
Total capex
€75,600,000
435 € per annual MWh
Year-1 revenue
€11,824,328
opex 2,615,774 €
Simple payback
8 yrs
Wind farm area
6.4km²
rotor Ø 138 m · direct footprint ≈ 22 ha
CO₂ avoided per year
69.6kt
Cash flow: revenue, opex, debt service
LCOE breakdown

Project cash flows

YearEnergy (MWh)Revenue (k€)Opex (k€)CFADS (k€)Debt service (k€)DSCREquity cash (k€)
1173,88711,8242,6169,2095,2721.753,936
2173,19211,9542,6679,2875,2721.764,015
3172,49912,0842,7199,3665,2721.784,094
4171,80912,2172,7719,4455,2721.794,173
5171,12212,3502,8259,5255,2721.814,253
6170,43712,4852,8809,6055,2721.824,333
7169,75512,6222,9369,6865,2721.844,413
8169,07612,7602,9949,7665,2721.854,494
9168,40012,9003,0529,8485,2721.874,576
10167,72613,0413,1119,9295,2721.884,657
11167,05613,1833,17210,0125,2721.94,739
12166,38713,3283,23410,0945,2721.914,822
13165,72213,4743,29710,1775,2721.934,905
14165,05913,6213,36110,2605,2721.954,988
15164,39913,7703,42610,3445,2721.965,071
16163,74113,9213,49310,427——10,427
17163,08614,0733,56110,512——10,512
18162,43414,2273,63110,596——10,596
19161,78414,3823,70110,681——10,681
20161,13714,5403,77410,766——10,766
21160,49214,6993,84710,852——10,852
22159,85014,8603,92210,938——10,938
23159,21115,0223,99911,024——11,024
24158,57415,1874,07711,110——11,110
25157,94015,3534,15611,197——11,197
26157,30815,5214,23711,284——11,284
27156,67915,6904,32011,371——11,371
28156,05215,8624,40411,458——11,458
29155,42816,0364,49011,546——11,546
30154,80616,2116,7379,474——9,474
  • Energy from a generic 4.5 MW power curve (rotor Ø 138 m, air density 1.188 kg/m³) under a Weibull distribution, minus 15% total losses. Use the turbine supplier’s curve and a wake model (e.g. PyWake, WAsP) for a bankable P50.
  • Pre-tax model: corporate tax, depreciation, grid fees, balancing costs and curtailment are not included. Lenders size debt on P90 (typically 8–12% below P50), so test a lower capacity factor.
  • Land: the array area spans the whole layout; only about 1–3% of it is physically occupied (pads, roads, substation), and farming continues around the turbines.

How this calculator works

A wind farm is a capital-intensive machine whose fuel is free: almost all of the cost is paid before the first kilowatt-hour, and the rest of its life is a long stream of fairly predictable revenue. This calculator builds the core of a developer’s project model on one page:

  1. Energy (P50). Enter the wind speed at hub height (with a Weibull k) and the turbine’s specific power, or simply a net capacity factor. With wind speed, a generic power curve is integrated over the wind distribution at your site’s air density, then reduced by total losses (wakes, availability, electrical, curtailment).
  2. Cash flow. Revenue at your PPA or market price with annual indexation; fixed O&M (including land lease and insurance), variable O&M, output degradation and decommissioning in the final year.
  3. Financing. A share of capex is funded by a level-annuity loan; the rest is equity. You get project (unlevered) IRR, equity IRR, NPV at your WACC, and the debt service coverage ratio (DSCR) every year.
  4. Impact. Layout area from rotor diameter and spacing, households supplied and CO₂ avoided.

The formulas

Rotor diameter D = √(4 × P_rated / (π × specific power)) Net energy E = 8,760 × ∫ P(v) f(v) dv × N × (1 − losses) LCOE = (Capex + Σ O&M_t / (1+r)^t) / Σ E_t / (1+r)^t Debt service DS = Debt × i / (1 − (1+i)^−n) DSCR_t = (Revenue_t − O&M_t) / DS Equity cash flow = (Revenue_t − O&M_t − DS_t), year 0 = −Capex × (1 − debt share)

Worked example: a 54 MW onshore project

The defaults model 12 turbines of 4.5 MW (54 MW) with a specific power of 300 W/m² (a 138 m rotor) on 120 m towers, at a site with 7.5 m/s mean wind at hub height and k = 2.

  • Gross capacity factor 43%; after 15% losses the net capacity factor is about 36.8%, or roughly 174 GWh a year, enough for 48,000 average EU homes.
  • Capex at 1,400 €/kW is €75.6 million; fixed O&M of 42 €/kW/yr adds €2.3 million a year plus variable costs.
  • Over 30 years at a 6.5% WACC, the LCOE is about €54/MWh.
  • Selling at €68/MWh with 1.5% indexation, the project IRR is about 12.6% and the unlevered NPV €55 million.
  • With 70% debt at 5.5% over 15 years, debt service is €5.3 million a year, the minimum DSCR is about 1.75 and the equity IRR around 20% (pre-tax).

Drop the wind speed to 6.5 m/s and the capacity factor falls to about 29%. The LCOE then climbs to roughly the €68 PPA price and the minimum DSCR drops to a marginal 1.28, which shows how sensitive wind economics are to the resource.

How to read the results

  • P50 energy is the median expectation. Lenders size debt on P90 (the level exceeded 90% of years), typically 8–12% lower for a single year; test it by lowering the capacity factor or raising losses.
  • LCOE vs price. If the price is below LCOE, the project destroys value at your discount rate, whatever the payback.
  • Project vs equity IRR. Debt raises equity returns when the project IRR exceeds the interest rate, at the cost of a thinner DSCR cushion.
  • The cash-flow chart stacks revenue against O&M and debt service; the line (right axis) is cumulative equity cash, which turns positive at the equity payback year.

Typical values

Parameter Onshore (Europe/US) Offshore
Turbine size 4–7 MW 12–15 MW
Specific power 230–330 W/m² 330–400 W/m²
Net capacity factor 28–42% 40–52%
Capex 1,100–1,800 per kW 2,500–4,500 per kW
Fixed O&M 30–55 per kW-yr 60–110 per kW-yr
Total losses 12–18% 10–15%
Debt share / tenor 60–80% / 15–18 yrs 60–75% / 15–20 yrs
Design life 25–30 yrs 25–30 yrs

Tips

  • The wind resource dominates. One m/s of extra mean wind speed changes LCOE by 20–30%; invest in a 12–24 month measurement campaign.
  • Lower specific power at moderate sites. Bigger rotors on the same generator raise capacity factor and revenue per MW, and depend less on the windiest (often lowest-priced) hours.
  • Spacing is a trade-off. Tighter layouts fit more MW on a lease but raise wake losses; 4 × 7 rotor diameters is a common starting point.
  • Model P90 and price downside before committing to a debt structure; a minimum DSCR below ~1.2 on P50 is a red flag.
  • Compare technologies with the LCOE calculator and refine single-turbine yield with the wind turbine calculator.

Limitations

This is a screening model. It is pre-tax (no corporate tax, depreciation or tax equity), ignores grid connection charges, balancing costs, price cannibalisation in windy hours and curtailment unless included in losses, and uses one generic power curve with an aggregate loss factor instead of a wake model. Debt is a simple annuity without sculpting, reserve accounts or construction-period interest. Use it to compare options and test sensitivities before commissioning a bankable energy-yield assessment and financial model.

Method & assumptions

Energy. Rotor diameter D = √(4P/(π·SP)). With mean speed, gross yield = 8,760 h × ∫P(v)·f(v)dv with a generic power curve (peak Cp 0.46) and Weibull f(v), at air density for the site elevation; net = gross × (1 − losses). Cash flow: revenue = MWh × price (indexed), opex = fixed (+2%/yr) + variable, decommissioning in the final year. LCOE = (capex + Σ opex_t/(1+r)^t) / Σ MWh_t/(1+r)^t. Equity funds capex × (1 − debt share); debt is repaid as a level annuity; DSCR = cash flow available for debt service ÷ debt service. Area: turbines on a grid spaced sx·D across and sy·D along the prevailing wind.

Frequently asked questions

How much does it cost to build a wind farm?
Onshore wind farms typically cost 1.1–1.8 million (EUR or USD) per MW installed, including turbines (about two-thirds), foundations, roads, cabling, substation and development. Offshore wind costs 2.5–4.5 million per MW. A 50 MW onshore project therefore needs roughly 60–90 million.
What is the LCOE of onshore wind?
IRENA reports a global weighted average of about 0.03–0.04 USD/kWh for onshore wind commissioned in 2023, with European projects typically 40–70 EUR/MWh depending on wind speed, capex and the cost of capital. Offshore wind is usually 70–120 EUR/MWh.
How much land does a wind farm need?
The array area is large (commonly 15–60 hectares per MW once turbines are spaced 4–7 rotor diameters apart), but only about 1–3% of it is physically occupied by foundations, crane pads, roads and the substation (roughly 0.3–1 ha per MW). Farming and grazing continue between the turbines.
What is a good equity IRR for a wind project?
Investors typically target 7–10% unlevered project IRR and 10–15% equity IRR for onshore wind in mature markets, higher in emerging markets or for merchant (unhedged) projects. Returns depend heavily on the PPA price and on how much debt lenders allow.
What DSCR do banks require for wind farms?
Lenders usually size debt so the minimum debt service coverage ratio is about 1.25–1.35 on P50 energy (or 1.0–1.2 on P90) for contracted onshore wind, higher for merchant revenue. A DSCR of 1.3 means cash flow is 30% larger than the loan payment.
How many homes can a wind farm power?
Divide annual output by household consumption. A 50 MW onshore wind farm at a 35% capacity factor produces about 150 GWh a year, enough for roughly 40,000 average EU homes (3,600 kWh each) or 14,000 US homes (about 10,500 kWh each).
How many turbines are in a 100 MW wind farm?
With today's onshore turbines of 4–7 MW, about 15–25 turbines. Older projects with 2 MW machines needed 50. Offshore, a 100 MW block is only 7–8 turbines of 12–15 MW.

Sources & references

  1. IRENA — Renewable Power Generation Costs in 2023
  2. NREL Annual Technology Baseline — land-based and offshore wind costs
  3. Denholm, P., Hand, M., Jackson, M., Ong, S. (2009). Land-Use Requirements of Modern Wind Power Plants in the United States. NREL/TP-6A2-45834
  4. Short, W., Packey, D., Holt, T. (1995). A Manual for the Economic Evaluation of Energy Efficiency and Renewable Energy Technologies. NREL/TP-462-5173

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