Aer
Void Orbital — Wind Energy

Aer — Wind Turbine
Design Platform

From site selection to cost of energy — every formula, every chart, one workflow. Built on the Kern County 1 MW reference study.

Step 01 — Site

Site Selection

Place your turbine on the map and retrieve wind resource data from the Global Wind Atlas for your exact coordinates. Air density is derived from elevation via the ISA standard atmosphere.

Click the map or drag the pin to place your site — elevation is fetched automatically. Open the Global Wind Atlas to read mean wind speed, capacity factor, and power density at your coordinates, then enter them here.
🌍 Open Global Wind Atlas for this Location
Coordinates
Auto-fetched when the pin moves — editable
Wind Resource From Global Wind Atlas
At anemometer height
k = 2 → Rayleigh distribution (standard assumption)
Step 02 — Parameters

Design Parameters

Define target power, rotor configuration, and airfoil selection — or let Aer recommend them from your site and power rating. These drive the iterative sizing process.

Power & Rotor
Optimal 6–8 for 3-blade rotors
Betz limit = 0.593
Blade Geometry
σ ≈ 0.07 optimal at high TSR
Hub radius as fraction of R
Aer Recommendations

Derived from your power rating, wind resource, and the reference-study design rules.

Airfoil Assignment

Public-domain NACA 4-digit airfoils — geometry drawn from the exact analytic equations, no royalties. Thickness-matched replacements for the royalty-bound NREL S818/S825/S826 set used in the reference study.

Optimal Design Angles — from Viterna-extended polars
SectionAirfoilα* (°)CLCDL/D
Step 03 — Sizing

Turbine Sizing

Iterative convergence of rotor radius, hub height, and hub-height wind speed — solving the power equation and the H ≈ 2R siting rule simultaneously.

Solver Controls
Governing Equations
P = ½ · ρ · Cₚ · π · R² · V(H)³
V(h) = V_ref · (h / h_ref)^(1/7)
H = 2 · R   (siting rule)
Ω = λ · V_hub / R  ·  RPM = 60Ω / 2π
Step 04 — Blade Design

Blade Design

Chord from solidity with linear taper; twist from ideal-rotor theory with wake rotation, φ_opt = ⅔·atan(1/λ_r) — frozen at manufacture. Cross-sections are exact NACA analytic geometry.

Blade Geometry
Planform (Top View)
Airfoil Cross-Sections — exact NACA equations, true t/c & camber
Twist Distribution
Blade Segment Table
r/Rr (m)Chord (m)Twist (°)φ_opt (°)Section
Step 05 — Performance

Performance Analysis

Blade-element momentum with Prandtl tip + hub loss, Glauert–Buhl high-induction correction, and Du–Selig 3-D stall delay — the rotational-augmentation physics WT_PERF's 2-D tables miss.

Centrifugal pumping of the separated boundary layer on a rotating blade delays stall and holds lift — the reason 2-D BEM codes under-predict power at high wind speeds (NASA-Ames UAE result). Toggle the corrections below to see each effect.
Analysis Settings
Fixed-speed mode reproduces the Kern County study (CF ≈ 50%)
Performance Summary
Power Curve — P vs Wind Speed
Rotor Efficiency — Cₚ vs λ (twist frozen, Ω varied)
3-D vs 2-D Model — fixed-speed stall regime (WT_PERF divergence)
Spanwise Loading Cₙ / Cₜ at 7 m/s
Step 06 — Economics

Economic Analysis

NREL/TP-500-40566 cost-scaling model (2002 $) with inflation adjustment. Annual energy production via Weibull distribution at hub height, with soiling, array, and availability losses.

Financial Parameters
11.85% — NREL standard
Set 1.0 to read in 2002 $ like the study
Desert environment
Kern County, CA 2026
Annual Energy Production
NREL Component Costs
Component2002 ($k)Adjusted ($k)
Cost of Energy
Step 07 — Environmental

Environmental Assessment

Noise propagation from the Lowson source model driven by your rotor's actual tip speed, avian context with peer-reviewed mortality data, and the Kern County regulatory framework.

Noise Analysis — Lowson source + hemispherical spreading
Nearest community
Site minus receptor
Noise vs Distance
Annual U.S. Bird Mortality by Cause — Loss et al. / USFWS (log scale)

Wind turbines account for ~0.3M of ~3B+ annual anthropogenic bird deaths — roughly 1/7000th of cat predation. Median estimates: cats 2,400M; building glass 599M; vehicles 214M; power lines 31M; communication towers 6.6M; turbines 0.34M.

Avian & Wildlife — Kern County Species of Concern
Regulatory Checklist
Step 08 — Report

Design Report

Complete summary of your wind turbine design analysis — print-ready.