Defining several wind farms within the same project

[kikocorreoso]

Hi,

If I have several wind farms in an area and I want to simulate and optimize only one of them but taking the rest of the farms in the surroundings also into account (wakes, etc). For instance:

• Wind farm 1, Hub height 1, WTG type 1
• Wind farm 2, Hub height 2, WTG type 2
• ...
• Wind farm n, Hub height n, WTG type n

I've tried the following:

mbook = foxes.ModelBook()

states = foxes.input.states.SingleStateStates(ws=9.0, wd=270.0, ti=0.12, rho=1.225)

farm1 = foxes.WindFarm()
foxes.input.farm_layout.add_row(
    farm=farm1,
    xy_base=[0.0, 0.0],
    xy_step=[800.0, 0.0],
    n_turbines=5,
    turbine_models=["NREL5MW"],
    verbosity=0,
)
farm2 = foxes.WindFarm()
foxes.input.farm_layout.add_row(
    farm=farm2,
    xy_base=[0.0, 1000.0],
    xy_step=[800.0, 0.0],
    n_turbines=5,
    turbine_models=["DTU10MW"],
    verbosity=0,
)
farms = [farm1, farm2]

algo = foxes.algorithms.Downwind(
    mbook, farms, states, verbosity=0, wake_models=["Jensen_linear_k007"]
)

But obviosly this throwns an error as Downwind expects a WindFarm object and not a list of windFarm objects.

What would be the best strategy ATM? To define a WindFarm object with all the WTGs of the different wind farms and then select only the values I want from the different outputs? How this would work for an optimization?

Thanks.

KR,

[SchmJo]

You can just add to the same WindFarm object, so replace farm2 and farm1 both by farm, and use that also in Downwind. Then it should work.

In foxes, there is only one wind farm object - but it can contain as many turbines as you wish. They will all be indexed subsequently, but you can add turbine labels for identification.

For optimization, use the sel_turbines parameter of the optimization problem class, this selects a subset of turbines for optimization.

I hope this helps?

[kikocorreoso]

Thank you very much!!