Select terrain roughness and reference wind speed to instantly compare log law vs power law vertical wind profiles. Turbulence intensity and wind energy density computed at any height.
Parameters
Terrain Roughness Class
Reference Wind Speed U_ref (m/s)
m/s
Turbine Hub Height (m)
m
Results at Hub Height
Results
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U_log (m/s)
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U_pow (m/s)
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Turbulence I
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Wind Power (W/m²)
Abl
Terrain sketch with wind velocity arrows (arrow length proportional to wind speed)
Wind power density: $E=\dfrac{1}{2}\rho U^3,\;\rho=1.225\,\text{kg/m}^3$
What is the Atmospheric Boundary Layer?
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What exactly is the "boundary layer" for wind? I thought wind speed was just... wind speed.
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Basically, it's the layer of air closest to the ground, where friction from the terrain slows the wind down. The speed isn't constant; it increases with height. In this simulator, you can see this by moving the "Turbine Hub Height" slider—watch how the wind speed at the hub changes dramatically.
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Wait, really? So the ground itself changes the wind profile? How do we model that?
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Exactly! We use the "Terrain Roughness Class" to define how bumpy the ground is. A smooth sea has a tiny roughness length, so wind speeds up quickly with height. A forest or city has high roughness, creating more drag and a slower wind profile. Try switching from "Open Sea" to "City Centre" above and see the curve flatten.
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I see two curves, "Log Law" and "Power Law". Which one is correct?
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Great question! The Log Law is more physically accurate, derived from fluid mechanics. The Power Law is an older, simpler empirical fit. For instance, in wind turbine design, the Log Law is preferred. Notice how they diverge most near the ground? That's where terrain roughness matters most. Play with the reference wind speed to see how both profiles scale.
Physical Model & Key Equations
The Logarithmic Law (Log Law) is the fundamental model, derived from the theory of turbulent flow over a rough surface. It states that wind speed increases logarithmically with height.
Where: $U_{ref}$ = Known wind speed at a reference height $z_{ref}$ (m/s). $\alpha$ = Hellman exponent, which depends on terrain roughness. Over open water, $\alpha$ is low (~0.1); over cities, it's high (~0.3).
The exponent $\alpha$ is not a fundamental property like $z_0$, but a convenient fitting parameter.
Frequently Asked Questions
It depends on the application. The logarithmic law has a physical basis and is suitable for detailed analysis of neutral atmospheres. The power law is simpler and is often used in engineering standards such as building codes. This tool displays both simultaneously, allowing you to compare the differences.
Please input the roughness length z0 directly. For suburban areas, a typical value is around z0 = 0.1 to 0.5 m. If your terrain is not in the dropdown, select a similar terrain (e.g., farmland) and manually adjust the roughness length.
Generally, wind speed measured at a height of 10 m above ground is used. However, you can also set an arbitrary reference height (e.g., 50 m). In that case, please note that the power law exponent α varies with height.
Turbulence intensity can be used for fatigue load assessment of wind turbines and wind response analysis of buildings, while wind energy density can be used for evaluating wind power generation potential. Both indicators are calculated at each height, helping to optimize installation height.
Real-World Applications
Wind Turbine Siting and Energy Yield: This is the primary use. Engineers use these profiles to predict the wind speed at a turbine's hub height (often 80-120m) based on measurements from a shorter meteorological mast. A small error in the profile can lead to a multi-million dollar mistake in estimated energy production.
Structural Wind Load Design: Skyscrapers, bridges, and stadiums must be designed for wind loads that vary with height. Building codes specify wind profiles (often using the Power Law) to determine the pressure distribution up the face of a tall building.
CFD Simulation Inflow Conditions: When simulating airflow around a new building or an entire city district, you must define realistic wind entering the simulation domain. The ABL profile, defined by $U_{ref}$ and $z_0$, provides this crucial "inflow boundary condition."
Pollution Dispersion Modeling: How far and fast pollutants from a factory stack spread depends on the wind speed and turbulence in the boundary layer. Accurate profiles are essential for environmental impact assessments and emergency planning.
Common Misconceptions and Points to Note
When you start using this tool, there are a few key points to keep in mind. First, selecting the "Surface Roughness" is critical to the simulation. For instance, even within the same "urban area," wind flow patterns differ completely between low-rise residential districts and areas densely packed with skyscrapers. The tool's classifications are only representative values, so make a habit of carefully choosing the closest class based on actual site photos or land-use data. An incorrect choice can lead to wind speeds significantly lower (or higher) than expected, potentially ruining your design.
Next, understand that "the power law exponent α is not a universal constant". This tool uses α values converted from the log law, but in reality, this α varies slightly depending on the height range. For example, approximating the range from 10m to 100m above ground with a single α can lead to significant errors, especially when surface roughness is high. This is precisely why building codes often "specify different α values for different vertical segments." Before directly applying the tool's results to your design, always verify the definitions in the applicable standards or guidelines.
Finally, remember that "this profile represents the 'neutral' state, a specific condition". The real atmosphere becomes unstable due to solar heating during the day or forms stable layers at night. For example, on a clear afternoon, thermal convection can cause the low-altitude wind speed profile to deviate from the log law. This tool calculates the fundamental "reference state." In practice, you must separately account for the effects of atmospheric stability due to season and time of day.
Enter reference wind speed (urefVal) at known height (uref) — typical values: 10 m/s at 10 m for urban, 12 m/s at 10 m for coastal
Set target hub height (hubHeightNum) where you need wind profile data — common range 30–120 m for wind turbines
Select terrain roughness category via interactive sketch (urban z0=1.0 m, grassland z0=0.05 m, water z0=0.001 m)
Compare logarithmic law result (U_log) against power law result (U_pow) to assess profile model agreement
Read turbulence intensity and wind power density (W/m²) outputs for design load calculations
Worked Example
Offshore wind farm at 80 m hub height over shallow water (z0=0.001 m). Reference: 11.5 m/s measured at 10 m height. Log law yields U_log = 18.2 m/s; power law (α=0.12) yields U_pow = 17.9 m/s. Turbulence intensity drops to 8.6% at hub. Wind power density = 0.5 × 1.225 kg/m³ × (18.2)³ = 3650 W/m². Difference between methods (0.3 m/s) is negligible for fatigue analysis but log law preferred for sparse roughness elements.
Practical Notes
Urban terrain (z0=0.5–1.0 m) produces steeper shear; use log law over power law for accurate street-canyon wind assessment near buildings
Terrain transitions matter: if site boundary shifts 500 m upwind from grass to forest, recalculate z0 using fetch-dependent roughness tables (IEC 61400-1)
Hub height extrapolation >150 m becomes sensitive to atmospheric stability; add 15–20% to neutral-profile estimate during stable nighttime conditions
Power density scales with cube of wind speed; 1 m/s error at 80 m height costs ~15% in annual energy production for typical turbine