Annual energy production
Energy yield that shares its inputs with CAPEX and OPEX, so revenue, production and losses are deterministically linked.
What AEP does
AEP is calculated using the same scenario as your cost models. By linking the turbine, layout, and resource inputs directly to CAPEX, we eliminate discrepancies between financial and yield projections. You never need to re-key data, removing a major source of human error.
Gross yield derived directly from the site's ERA5 wind record and turbine power curve. Every variable, including air density and distribution parameters, is fully visible. Results include the expected capacity factor.
Losses are applied through a transparent chain of wake, electrical, availability, environmental, and curtailment factors. Every parameter is visible and adjustable and the resulting yield is a clear gross and net GWh per year.
Live · Demonstration project
1,317GWh/yr
Net energy yield, P50
The library's power curve against this site's own wind — gross, then twenty named losses
What you get with AEP
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Yield linked to project scenarios
The turbine, layout and site conditions form the basis of the energy yield calculation. There is no need to manually shift data; the energy yield is calculated instantly, on platform.
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Gross yield from the wind record
Computed from the Project ERA5 node's wind distribution and turbine power curve. Air density, distribution parameters and the curve itself are all inputs you can inspect.
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Power curves from the library
Turbine power and thrust curves come from the shared custom data source library, with provenance attached, so every scenario uses a shared, customisable data set.
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A visible loss chain
Wake, electrical, availability, environmental and curtailment losses are all applied and can be customised to your project and scenarios.
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Data is checked on input
Capacity factor is bounded by a ceiling derived from rated power and hours in the year, so an implausible yield is flagged when data is entered, to ensure calculation validity.
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Feeds revenue directly
Net yield flows into the OPEX, Pre-FID and M&A financial models, so a change in the yield case automatically moves into the OPEX calculations and the financial models.
AEP in use
Drawn in the product's own interface, and every figure is real: they come from our live Demonstration project — a 288.75 MW floating wind farm in the central North Sea — and its Default Scenario, so anything shown here can be reproduced in front of you. No client or commercial data appears on this page.
The landing page is one number and what produced it
AEP opens on its Lite view: the handful of inputs that actually move the answer on the left, the answer on the right. The values that belong to the capital model are shown locked with a link back to it, so the yield case and the cost case cannot quietly disagree about how many turbines there are.
Core Inputs
Turbine
Wind farm
Wind loader
Energy yield / wake analysis
Headline Results
Completed: 20/09/2026, 15:52:23
P50 (net AEP)
1,317
GWh/yr
▸ Energy breakdown
The power curve and the wind, on one chart
The Generic Direct Drive 11.55MW curve comes from the shared library with its provenance attached; the distribution is the twelve-sector Weibull fitted to this site's own ERA5 record. Gross yield is computed from the two — never inherited from somebody else's assessment.
Power curve and wind speed distribution
Sector wind climate
Weibull k and A per 30° sector| Sector | 0° | 30° | 60° | 90° | 120° | 150° | 180° | 210° | 240° | 270° | 300° | 330° |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Frequency, % | 7.9 | 3.8 | 3.0 | 4.2 | 7.8 | 8.9 | 10.6 | 12.0 | 11.3 | 9.5 | 10.0 | 10.8 |
| Scale A, m/s | 10.1 | 8.1 | 7.9 | 10.5 | 13.0 | 12.2 | 12.1 | 12.8 | 12.8 | 12.2 | 11.4 | 11.5 |
| Shape k | 2.18 | 1.99 | 1.85 | 1.92 | 2.17 | 2.28 | 2.28 | 2.26 | 2.24 | 2.12 | 2.10 | 2.18 |
The prevailing sector is 210°, which is also the direction the array is oriented on — that relationship is what the wake model is resolving.
Every loss between gross and net, in the open
The energy breakdown behind the headline. Twenty loss steps applied in order, each one an input you can see, challenge and change, with the energy remaining after each step beside it. The steps set to 1.000 are not hidden — they are there, answered, and currently costing nothing.
AEP Results
View a single scenario or compare up to 3 scenarios side-by-side.
Default Scenario Energy yield breakdown
12 further steps at 1.000Gross yield
1,485
Net P50
1,317
Capacity factor
52.1%
Total losses
11.35%
| Step | Factor | Energy remaining, GWh | Share of gross |
|---|---|---|---|
| Gross energy yield | — | 1,485.3 | |
| 1a Turbine availability | 0.96000 | 1,425.9 | |
| 1b BoP availability | 0.99500 | 1,418.7 | |
| 1c Grid availability | 0.99700 | 1,414.5 | |
| 2a Internal wake | 0.95931 | 1,356.9 | |
| 3a Electrical efficiency | 0.98500 | 1,336.6 | |
| 4a Sub-optimal performance | 0.99500 | 1,329.9 | |
| 4c Site-specific power curve adjustment | 0.99500 | 1,323.2 | |
| 6b Degradation | 0.99500 | 1,316.6 | |
| Net energy yield (P50) | 0.88645 | 1,316.6 |
See it on your own project
Book a demo and we will walk through the module with your numbers, not ours.
More of the toolkit
Pre-FID
Take the engineering case to an investment case: cash flow, LCoE, NPV and IRR built on the CAPEX, OPEX and AEP you already modelled.
M&A
Value an operating or consented asset properly: transaction structure, debt, tax, allowances and sensitivities in one model.
Turbine Technical Due Diligence
Ten structured tools for turbine diligence, each answer tied to the document it came from.