Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update Empirical Gaussian default deflection_rate #875

Merged
merged 4 commits into from Apr 8, 2024

Conversation

misi9170
Copy link
Collaborator

@misi9170 misi9170 commented Apr 6, 2024

When the Empirical Gaussian (emgauss, EmG) model was first introduced in #628, we provided a rough set of default parameters. Those were then updated in #723 as we gained more experience using the EmG model. One of the parameters that was updated was the deflection_rate parameter of the wake deflection model, which had a value of 15 originally (in #628) and was updated to a value of 30 in #723. The deflection_rate parameters describes how "quickly" (in terms of downstream distance) the wake approaches its maximum displacement due to yaw misalignment or nonzero tilt of the rotor. For details, see the EmG wake deflection model documentation, where the deflection_rate parameter is denoted $c$.

The current value of 30 for the deflection_rate is overly pessimistic about the efficacy of wake steering---while the wake deflects appropriately, it does so too "slowly", so the wake has not deflected sufficiently by 5 rotor diameters downstream to produce a net gain in a two-turbine wake steering scenario. To better reflect the results produced by the GCH model, which we take to be our best model for describing wake steering in ideal conditions in small farms, this PR reduces the deflection_rate to 22 (approximately halfway between the original value of 15 and the current value of 30).

As always with the EmG model, we advise users to tune parameters to match their observations, or at least check carefully that the default values are in good agreement with their data.

Results for a two-turbine farm of NREL 15MW turbines with 500m spacing (~4D) in aligned flow at a wind speed of 8m/s are shown below. The number reported in brackets is the percentage improvement in farm power (summed over both the upstream and downstream turbine) when the upstream turbine is yawing at 30 degrees, over the non-wake steering case (upstream turbine at 0 degrees).

GCH benchmark [3.37%]
gch_gain

EmG with deflection_rate of 15 (and all other parameters unchanged) [6.78%]
emg_gain_orig

EmG with deflection_rate of 30 (and all other parameters unchanged, as is currently the default) [0.34%]
emg_gain_previous

EmG with deflection_rate of 22 (and all other parameters unchanged, as would be the new default) [2.85%]
emg_gain_new

Thanks to @erickaloz for finding and pointing out the issue with the current default parameters!

@misi9170 misi9170 added enhancement An improvement of an existing feature v4 Focus of FLORIS v4 labels Apr 6, 2024
@misi9170 misi9170 self-assigned this Apr 7, 2024
@misi9170 misi9170 merged commit b4d9d1e into NREL:v4 Apr 8, 2024
8 checks passed
@misi9170 misi9170 deleted the v4-ms/emg-def-rate-2 branch April 8, 2024 22:00
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement An improvement of an existing feature v4 Focus of FLORIS v4
Projects
Status: Done
Development

Successfully merging this pull request may close these issues.

None yet

2 participants