⚡ Hub Height

GWA Weibull A & k are fetched at the nearest band and shear-corrected to this height.

m AGL

💰 Currency

Financial outputs will be shown in the selected currency.

🌍

No location selected

Drop a pin for a single point, or draw a rectangle to sample a study area. Weibull wind parameters will be fetched at the hub height above.

📍

No site selected yet

Drop a pin or draw a study area in Step 1 to load wind climate data.

📍

Complete Step 1 first

Select a site on the map before configuring turbine parameters.

Turbine & Capacity

Number of turbines

Rated power (MW / turbine)

Total capacity (MW) — derived = number of turbines × rated MW

Hub height (m) Set hub height in Step 1 toolbar — re-runs GWA lookup automatically.

Power Curve

Smooth cubic Hermite curve synthesised from IEC class parameters. For greater accuracy, use the turbine library.

System Losses

Wake loss (%)

Electrical loss (%)

Availability (%)

Combined loss: —%

Credit deducted only on a successful calculation.

Net AEP

—

GWh / yr

Gross AEP

—

GWh / yr

Net capacity factor

—

%

Mean wind speed

—

m/s at hub height

Loss Breakdown

Gross AEP

— GWh/yr

Wake loss

— %

Electrical loss

— %

Availability

— %

Net AEP

— GWh/yr

CO₂ avoided

— kt/yr

Complete Step 3 (Calculate AEP) first to unlock financial analysis.

Financial Parameters

CAPEX $/kW

O&M $/kW/yr

WACC (%)

PPA price $/MWh Lifetime (yrs)

Typical: 20–30 yrs (IRENA 2025)

Degradation (%/yr)

Typical: 0.3–0.6%/yr (IRENA 2025)

Inflation (%/yr)

Country CPI typical: 2–5%/yr

LCOE

—

$/MWh

Project IRR

—

%

NPV

—

M$

Total CAPEX

—

M$

Simple Payback

—

years

25-year Energy Production Profile

Annual AEP with degradation applied (Year 1→25). Right axis: cumulative lifetime production.

Annual Revenue, O&M & Cumulative Cashflow

Green bars = revenue · Red bars = O&M cost · Indigo line = cumulative project cashflow (right axis, starts post-CAPEX)

LCOE Sensitivity Analysis

Impact of ±15% and ±30% changes to CAPEX, WACC, and capacity factor on Levelised Cost of Energy.

Scenario Comparison

Scenario	CF (%)	CAPEX ($/kW)	WACC (%)	LCOE ($/MWh)	NPV (M$)	IRR (%)

Next Steps — Bankability Roadmap

To progress from pre-feasibility to bankable assessment, these studies are typically required:

Study	Duration	Purpose
Met mast / LiDAR campaign	12–24 mo	On-site hub-height wind data for MCP
Wind flow modelling (CFD / WAsP)	2–4 mo	Micrositing, wake & terrain energy
Measure-Correlate-Predict (MCP)	1–2 mo	Long-term adjust via reference station
Geotechnical survey	1–3 mo	Foundation design, soil, roads
Grid connection study	2–6 mo	POC, grid capacity, cable routing
Environmental & Social IA	6–18 mo	Permitting, habitat, community
Noise & visual impact	2–4 mo	Setback, shadow flicker
Aviation & telecoms	1–3 mo	Radar, flight, radio clearance
Land lease / acquisition	3–12 mo	Surface rights, access, consent
Bankable energy yield	2–3 mo	Independent P50/P90 (IEC-accredited)

All steps complete — ready to export

Complete Step 4 (Financial Analysis) first to unlock the site access study.

Site Access Parameters

Grid and road distances are computed automatically from OpenStreetMap. Adjust unit cost rates to match local market conditions.

Grid connection rate ($/km)

Typical 33 kV: 80k–200k · 132 kV: 300k–600k $/km

Road access rate ($/km)

Typical: 40k–120k $/km (gravel to sealed road)

⌛ Queries live OpenStreetMap data in staged radii (15 → 75 → 300 km for grid; 15 → 50 km for roads). If no infrastructure is found nearby, the search expands outward — this can take up to 2 minutes in remote areas.

Site Infrastructure Quick-Look

⚡ Nearest HV Line

—

🛣 Nearest Road

—

⛰ Terrain

—

Revised LCOE

—

$/MWh

Site CAPEX Adder

—

$/kW

Revised CAPEX

—

$/kW

Revised IRR

—

%

Revised NPV

—

M$

Site Access Breakdown

Factor	Value	Unit rate	CAPEX adder ($/kW)

CAPEX Breakdown ($/kW)

Base CAPEX plus site-specific adders — horizontal bar shows relative contribution.

Base vs. Site-Adjusted Financial Summary

Metric	Base (country CAPEX)	Site-adjusted	Change

Optional — screen for environmental constraints

Complete Step 3 (Wind Resource Analysis) first to unlock environmental screening.

🌿 Environmental Constraint Screening

Automated screening of 5 constraint categories from OpenStreetMap within configurable radii. Results indicate go / proceed-with-caution / high-risk for each category.

Constraint	Search radius	Red <	Amber <
Protected areas	25 km	2 km	10 km
Settlements	5 km	500 m	2 km
Airports	15 km	3 km	8 km
Military zones	10 km	1 km	5 km
Wetlands / water	5 km	1 km	3 km

Protected

—

within 25 km

Settlements

—

within 5 km

Airports

—

within 15 km

Military

—

within 10 km

Wetlands

—

within 5 km

Constraint Findings

Sorted by severity. Green rows indicate no significant constraint at this distance. Data source: OpenStreetMap via Overpass API.

Severity	Category	Name	Distance	Detail

Disclaimer: This screening is indicative only, based on OpenStreetMap community data which may be incomplete. Results do not substitute for a professional EIA, ESIA, or permitting due diligence. Consult national environmental authorities and WDPA for verified protected area boundaries.

Wind Pre-Feasibility

Wind Pre-Feasibility