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

Different model parameters in config file and paper #65

Closed
DeeDive opened this issue Feb 25, 2020 · 2 comments
Closed

Different model parameters in config file and paper #65

DeeDive opened this issue Feb 25, 2020 · 2 comments

Comments

@DeeDive
Copy link

DeeDive commented Feb 25, 2020

Hi there,
I'm currently trying to experiment with model presented in (Gebraad et al., 2016), where Jensen wake model and Jiménez wake deflection model were combined. But I find that parameters shown in the table are different from those in example_input.json? Why? Which one is reliable?

"jimenez": { "kd": 0.05, "ad": 0.0, "bd": 0.0 },

image

Millions of thanks in advance.

Gebraad, P.M.O., Teeuwisse, F.W., Wingerden, J.W. van, Fleming, P.A., Ruben, S.D., Marden, J.R., Pao, L.Y., 2016. Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study. Wind Energy 19, 95–114. https://doi.org/10.1002/we.1822

@bayc
Copy link
Collaborator

bayc commented Mar 3, 2020

Hello @Tri-Stack ,

The parameters in example_input.json are values from previous tunings against LES simulations at the time, so that is why those values differ from those given in the table in the paper. To be candid, those values have not been touched for several years as the Gaussian wake model has been the one in use at NREL. As such, due to the numerous changes and updates to FLORIS from that time, the optimal values have probably shifted from either of those two options. I would suggest to tune to data you have available, if possible. If you don't have data available, we are in the process of putting together a SOWFA library that would have cases you could tune against, but it is not quite ready yet. It will be released soon.

Cheers

@DeeDive DeeDive closed this as completed Mar 14, 2020
@DeeDiveT
Copy link

Hi @bayc , is there any suggestion on tuning the parameter based on simulation results or recent progress on SOWFA library you mentioned above?

Thanks a lot.

rafmudaf added a commit that referenced this issue Dec 18, 2023
* Update wind condition broadcast for turbine tests

The inputs changed in conftest but this wasn’t updated

* Update multidimensional turbine module for 4D arrays

* Update multidimensional example API’s

* Unit test bug fix

* Remove a few missed extra dimensions
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants