{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Quickstart"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import and setup wind turbines, site and flow model"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Install PyWake if needed\n",
"try:\n",
" import py_wake\n",
"except ModuleNotFoundError:\n",
" !pip install git+https://gitlab.windenergy.dtu.dk/TOPFARM/PyWake.git"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.examples.data.hornsrev1 import Hornsrev1Site,V80, wt_x, wt_y, wt16_x, wt16_y\n",
"from py_wake import NOJ\n",
"\n",
"windTurbines = V80()\n",
"site=Hornsrev1Site()\n",
"noj = NOJ(site,windTurbines)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Run model"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"simulationResult = noj(wt16_x,wt16_y)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculate AEP"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Total AEP: 143.151568 GWh\n"
]
},
{
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"</style><div class='xr-wrap'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'AEP'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>wt</span>: 16</li><li><span class='xr-has-index'>wd</span>: 360</li><li><span class='xr-has-index'>ws</span>: 23</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d2368943-2836-46d6-8c49-7dba253a4ad6' class='xr-array-in' type='checkbox' ><label for='section-d2368943-2836-46d6-8c49-7dba253a4ad6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 4.993e-05 0.0001429 0.0002968 ... 2.478e-06 1.005e-06 3.842e-07</span></div><pre class='xr-array-data'>array([[[0.00000000e+00, 4.99347385e-05, 1.42930180e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
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" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
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"\n",
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" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
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"\n",
" ...,\n",
"\n",
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" ...,\n",
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" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.21563476e-05, 1.20115722e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
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" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
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"\n",
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" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.57746501e-05, 9.96806080e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07]]])</pre></div></li><li class='xr-section-item'><input id='section-63cb5660-4f35-47b9-b316-999e0e4ecbc5' class='xr-section-summary-in' type='checkbox' checked><label for='section-63cb5660-4f35-47b9-b316-999e0e4ecbc5' class='xr-section-summary' >Coordinates: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wt</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 ... 10 11 12 13 14 15</div><input id='attrs-a9c13794-d5a8-44cd-b3ee-7f6128aa7a6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9c13794-d5a8-44cd-b3ee-7f6128aa7a6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0448ea3b-93c0-49dd-a8f7-9aa286f6018e' class='xr-var-data-in' type='checkbox'><label for='data-0448ea3b-93c0-49dd-a8f7-9aa286f6018e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine number</dd></dl></div><pre class='xr-var-data'>array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>wd</span></div><div class='xr-var-dims'>(wd)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 355 356 357 358 359</div><input id='attrs-ccae1530-8b97-4dfd-ac26-9c168169b916' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ccae1530-8b97-4dfd-ac26-9c168169b916' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30186db9-f93c-49cd-8b59-7463f57042ea' class='xr-var-data-in' type='checkbox'><label for='data-30186db9-f93c-49cd-8b59-7463f57042ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Local free-stream wind direction [deg]</dd></dl></div><pre class='xr-var-data'>array([ 0, 1, 2, ..., 357, 358, 359])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ws</span></div><div class='xr-var-dims'>(ws)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>3 4 5 6 7 8 9 ... 20 21 22 23 24 25</div><input id='attrs-0b6641c8-6e1e-46d8-8fb1-f316bb88aeb6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b6641c8-6e1e-46d8-8fb1-f316bb88aeb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e99ef952-0981-4f5a-ab97-3d0304f69b29' class='xr-var-data-in' type='checkbox'><label for='data-e99ef952-0981-4f5a-ab97-3d0304f69b29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><pre class='xr-var-data'>array([ 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20,\n",
" 21, 22, 23, 24, 25], dtype=int64)</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>x</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>4.24e+05 4.24e+05 ... 4.259e+05</div><input id='attrs-0bb9c577-b260-462e-b047-2894be7edf05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bb9c577-b260-462e-b047-2894be7edf05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cdb6e0c-8446-458b-b992-c46c17d7ce3b' class='xr-var-data-in' type='checkbox'><label for='data-0cdb6e0c-8446-458b-b992-c46c17d7ce3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine x coordinate [m]</dd></dl></div><pre class='xr-var-data'>array([423974., 424042., 424111., 424179., 424534., 424602., 424671.,\n",
" 424739., 425094., 425162., 425231., 425299., 425654., 425722.,\n",
" 425791., 425859.])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>y</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>6.151e+06 6.151e+06 ... 6.15e+06</div><input id='attrs-327ab72b-9506-42e7-bc77-fd3ec1636f13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-327ab72b-9506-42e7-bc77-fd3ec1636f13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2e38606-3df1-4ac4-9f32-5b784073d044' class='xr-var-data-in' type='checkbox'><label for='data-b2e38606-3df1-4ac4-9f32-5b784073d044' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine y coordinate [m]</dd></dl></div><pre class='xr-var-data'>array([6151447., 6150891., 6150335., 6149779., 6151447., 6150891.,\n",
" 6150335., 6149779., 6151447., 6150891., 6150335., 6149779.,\n",
" 6151447., 6150891., 6150335., 6149779.])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>70.0 70.0 70.0 ... 70.0 70.0 70.0</div><input id='attrs-680c3c5d-851c-41c1-82dc-de27adc9be16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-680c3c5d-851c-41c1-82dc-de27adc9be16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b07d69ac-5fe1-4512-910b-90ac2da38b3e' class='xr-var-data-in' type='checkbox'><label for='data-b07d69ac-5fe1-4512-910b-90ac2da38b3e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine hub height [m]</dd></dl></div><pre class='xr-var-data'>array([70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70., 70.,\n",
" 70., 70., 70.])</pre></li><li class='xr-var-item'><div class='xr-var-name'><span>type</span></div><div class='xr-var-dims'>(wt)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0</div><input id='attrs-fe73f30a-b17b-457a-a2e4-a5c4a9885472' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe73f30a-b17b-457a-a2e4-a5c4a9885472' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf2e8ef-21a8-4f24-a4d1-93d9cc29a67f' class='xr-var-data-in' type='checkbox'><label for='data-5cf2e8ef-21a8-4f24-a4d1-93d9cc29a67f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Wind turbine type</dd></dl></div><pre class='xr-var-data'>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])</pre></li></ul></div></li><li class='xr-section-item'><input id='section-78e9e70e-22fe-4a74-8a8b-63bf2efdc4f9' class='xr-section-summary-in' type='checkbox' checked><label for='section-78e9e70e-22fe-4a74-8a8b-63bf2efdc4f9' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Description :</span></dt><dd>Annual energy production [GWh]</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.DataArray 'AEP' (wt: 16, wd: 360, ws: 23)>\n",
"array([[[0.00000000e+00, 4.99347385e-05, 1.42930180e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.99347385e-05, 1.42930180e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.99347385e-05, 1.42930180e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
" [0.00000000e+00, 4.99347385e-05, 1.42930180e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.99347385e-05, 1.42930180e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.99347385e-05, 1.42930180e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07]],\n",
"\n",
" [[0.00000000e+00, 3.22981375e-05, 1.07981910e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.51397497e-05, 1.13612781e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.82191783e-05, 1.19714904e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
" [0.00000000e+00, 3.00015769e-05, 1.03431100e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 2.99698388e-05, 1.03368208e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.01814707e-05, 1.03787573e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07]],\n",
"\n",
" [[0.00000000e+00, 3.89143950e-05, 1.06441762e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.05962876e-05, 1.13327114e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.21563476e-05, 1.20115722e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
" [0.00000000e+00, 3.71777590e-05, 9.99666402e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.71648787e-05, 9.98936103e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.74309185e-05, 1.00800249e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07]],\n",
"\n",
" ...,\n",
"\n",
" [[0.00000000e+00, 3.22981375e-05, 1.07981910e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.51397497e-05, 1.13612781e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.82191783e-05, 1.19714904e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
" [0.00000000e+00, 3.00015769e-05, 1.03431100e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 2.99698388e-05, 1.03368208e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.01814707e-05, 1.03787573e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07]],\n",
"\n",
" [[0.00000000e+00, 3.89143950e-05, 1.06441762e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.05962876e-05, 1.13327114e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.21563476e-05, 1.20115722e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
" [0.00000000e+00, 3.71777590e-05, 9.99666402e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.71648787e-05, 9.98936103e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.74309185e-05, 1.00800249e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07]],\n",
"\n",
" [[0.00000000e+00, 3.71340563e-05, 1.05620267e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.88954661e-05, 1.12693592e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 4.08454658e-05, 1.19479314e-04, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" ...,\n",
" [0.00000000e+00, 3.56657883e-05, 9.90388284e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.56485529e-05, 9.89644383e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07],\n",
" [0.00000000e+00, 3.57746501e-05, 9.96806080e-05, ...,\n",
" 2.47780973e-06, 1.00529802e-06, 3.84203469e-07]]])\n",
"Coordinates:\n",
" * wt (wt) int32 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15\n",
" * wd (wd) int32 0 1 2 3 4 5 6 7 8 ... 352 353 354 355 356 357 358 359\n",
" * ws (ws) int64 3 4 5 6 7 8 9 10 11 12 ... 16 17 18 19 20 21 22 23 24 25\n",
" x (wt) float64 4.24e+05 4.24e+05 4.241e+05 ... 4.258e+05 4.259e+05\n",
" y (wt) float64 6.151e+06 6.151e+06 6.15e+06 ... 6.15e+06 6.15e+06\n",
" h (wt) float64 70.0 70.0 70.0 70.0 70.0 ... 70.0 70.0 70.0 70.0 70.0\n",
" type (wt) int32 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
"Attributes:\n",
" Description: Annual energy production [GWh]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print (\"Total AEP: %f GWh\"%simulationResult.aep().sum())\n",
"simulationResult.aep()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot AEP as function of wind turbines, wind direction and wind speed"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'AEP [GWh]')"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"%matplotlib inline \n",
"\n",
"plt.figure()\n",
"aep = simulationResult.aep() \n",
"windTurbines.plot(wt16_x,wt16_y)\n",
"c =plt.scatter(wt16_x, wt16_y, c=aep.sum(['wd','ws']))\n",
"plt.colorbar(c, label='AEP [GWh]')\n",
"\n",
"plt.figure()\n",
"aep.sum(['wt','wd']).plot()\n",
"plt.xlabel(\"Wind speed [m/s]\")\n",
"plt.ylabel(\"AEP [GWh]\")\n",
"\n",
"plt.figure()\n",
"aep.sum(['wt','ws']).plot()\n",
"plt.xlabel(\"Wind direction [deg]\")\n",
"plt.ylabel(\"AEP [GWh]\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot flow map"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.QuadMesh at 0x2629df90100>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"text/plain": [
"<Figure size 432x288 with 0 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1296x720 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"flow_map = simulationResult.flow_map(ws=10, wd=270)\n",
"plt.figure(figsize=(18,10))\n",
"flow_map.plot_wake_map()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.2"
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": true,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": true
}
},
"nbformat": 4,
"nbformat_minor": 2
}