def _iterate_visualization(axes, owflop, history):
axes['convergence'].clear()
vis.draw_convergence(axes['convergence'], history)
axes['step_size'].clear()
vis.draw_step_size(axes['step_size'], history)
axes['layout'].clear()
vis.site_setup(axes['layout'])
vis.connect_layouts(axes['layout'], history.layout)
vis.draw_turbines(axes['layout'], history.isel(iteration=0).layout,
owflop.rotor_radius_adim)
vis.draw_turbines(axes['layout'], history.isel(iteration=-1).layout,
owflop.rotor_radius_adim,
minimal_proximity=owflop.minimal_proximity,
inside=owflop.inside)
vis.draw_boundaries(axes['layout'], owflop.boundaries)
_plt.pause(0.1)
def _setup_visualization(owflop, history):
axes = {}
fig = _plt.figure()
grid = _gs.GridSpec(3, 5)
axes['windrose'] = fig.add_subplot(grid[0, :2], polar=True)
vis.draw_windrose(axes['windrose'], owflop._ds.direction_pmf)
axes['convergence'] = fig.add_subplot(grid[1, :2])
axes['step_size'] = fig.add_subplot(grid[2, :2],
sharex=axes['convergence'])
axes['layout'] = fig.add_subplot(grid[:, 2:])
vis.site_setup(axes['layout'])
vis.draw_turbines(axes['layout'], history.isel(iteration=0).layout,
owflop.rotor_radius_adim,
minimal_proximity=owflop.minimal_proximity,
inside=owflop.inside)
vis.draw_boundaries(axes['layout'], owflop.boundaries)
grid.tight_layout(fig)
_plt.pause(.10)
return axes
plt.rc('axes', titlesize=10)
# %% set up problem
o = wflopg.Owflop()
o.load_problem("problem-IEA37_Optimization_Case_Study-small.yaml",
wind_resource="wind_resource-from_West.yaml")
o.calculate_wakeless_power()
o.calculate_deficit()
o.calculate_power()
o.calculate_relative_wake_loss_vector()
# %% save initial layout figure
fig = plt.figure()
ax = plt.subplot(111)
vis.site_setup(ax, o.minimal_proximity)
vis.draw_boundaries(ax, o.boundaries)
vis.draw_turbines(ax, o._ds.layout, o.rotor_radius_adim, o.minimal_proximity)
fig.savefig('IEA37C1W_16-layout_initial.pdf', bbox_inches="tight")
# %% plot windrose and initial pseudogradients
fig = plt.figure(figsize=(8, 1.7))
alignax = None
gs = fig.add_gridspec(ncols=6, nrows=1, wspace=0., hspace=0.,
width_ratios=[.8, .2] + 4*[1])
axwr = fig.add_subplot(gs[0:2, 0], polar=True)
vis.draw_windrose(axwr, o.wind_rose.dir_weights)
axwr.set_xticks([0, np.pi/2, np.pi, 3*np.pi/2])
axwr.set_xticklabels(['N', 'O', 'S', 'W'])
axwr.xaxis.set_tick_params(pad=-2)
axwr.set_rticks([])
#
nrows=3,
wspace=0.,
hspace=0.,
width_ratios=[1] * 2,
height_ratios=[1.1, .9, .9])
#
axp = {}
shareyp = None
axc = {}
shareyc = None
axs = {}
shareys = None
for k, kind in enumerate(['soft', 'aggressive']):
axp[kind] = fig.add_subplot(gs[0, k], sharey=shareyp)
vis.site_setup(axp[kind], o.minimal_proximity)
vis.draw_boundaries(axp[kind], o.boundaries)
vis.draw_turbines(axp[kind],
history[(kind, turbines)].layout.sel(iteration=0),
o.rotor_radius_adim,
turbine_color='#87f')
vis.draw_turbines(
axp[kind],
history[(kind, turbines)].layout.isel(
iteration=history[(kind, turbines)].objective.argmin()),
o.rotor_radius_adim,
o.minimal_proximity,
turbine_color='#f56')
vis.connect_layouts(axp[kind], history[(kind, turbines)].layout)
axp[kind].set_xlim([-1.02, 1])
axp[kind].set_ylim([-1.02, .47])
axp[kind].set_title(kind)
plt.rc('font', family='serif', serif='Times')
plt.rc('axes', titlesize=10)
# %% set up problem
o = wflopg.Owflop()
o.load_problem("problem-Mosetti_et_al-WLP.yaml")
o.calculate_wakeless_power()
o.calculate_deficit()
o.calculate_power()
o.calculate_relative_wake_loss_vector()
# %% save initial layout figure
fig = plt.figure()
ax = plt.subplot(111)
vis.site_setup(ax, o.minimal_proximity)
vis.draw_boundaries(ax, o.boundaries)
vis.draw_turbines(ax, o._ds.layout, o.rotor_radius_adim, o.minimal_proximity)
fig.savefig('Mosetti_et_al-layout_initial.pdf', bbox_inches="tight")
# %% optimize using to various pseudo-gradient types
history = {}
# %% start from Mosetti's layout
o = wflopg.Owflop()
o.load_problem("problem-Mosetti_et_al-WLP.yaml")
o.calculate_wakeless_power()
history['M'] = opt.step_iterator(o, max_iterations=20,
multiplier=3, scaling=[.9, 1.1])
# %% start from hex layout
o = wflopg.Owflop()
o.load_problem(
"problem-Mosetti_et_al-WLP.yaml",
gs = fig.add_gridspec(ncols=2,
nrows=3,
wspace=0.,
hspace=0.,
width_ratios=[1] * 2,
height_ratios=[1.1, .9, .9])
axp = {}
shareyp = None
axc = {}
shareyc = None
axs = {}
shareys = None
for k, n in enumerate([36, 64]):
axp[n] = fig.add_subplot(gs[0, k], sharey=shareyp)
vis.site_setup(axp[n], os[n].minimal_proximity)
vis.draw_boundaries(axp[n], os[n].boundaries)
vis.draw_turbines(axp[n],
histories[n].layout.sel(iteration=0),
os[n].rotor_radius_adim,
turbine_color='#87f')
vis.draw_turbines(
axp[n],
histories[n].layout.isel(iteration=histories[n].objective.argmin()),
os[n].rotor_radius_adim,
os[n].minimal_proximity,
turbine_color='#f56')
vis.connect_layouts(axp[n], histories[n].layout)
axp[n].set_title(f"{n} turbines")
axs[n] = fig.add_subplot(gs[2, k], sharey=shareys)
vis.draw_step_size(axs[n], histories[n])
axs[n].set_xlim([-2.5, 32.5])