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Mads M. Pedersen
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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# WindTurbine"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For a given wind turbine type and effective wind speed (WSeff), the `WindTurbine` object provides the power and thrust coefficient (CT), as well as the wind turbine hub height (H) and diameter (D)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setting up Windturbine objects"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Predefined example WindTurbines\n",
"\n",
"PyWake contains a few predefined turbines, e.g. the V80 from Hornsrev1, the 3.35MW from IEA task 37 and the DTU10MW."
]
},
{
"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": [
"import os\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"from py_wake.wind_turbines import WindTurbines\n",
"from py_wake.examples.data.hornsrev1 import V80\n",
"from py_wake.examples.data.iea37 import IEA37_WindTurbines, IEA37Site\n",
"from py_wake.examples.data.dtu10mw import DTU10MW\n",
"\n",
"v80 = V80()\n",
"iea37 = IEA37_WindTurbines()\n",
"dtu10mw = DTU10MW()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import from WAsP wtg files"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.examples.data import wtg_path\n",
"wtg_file = os.path.join(wtg_path, 'NEG-Micon-2750.wtg')\n",
"neg2750 = WindTurbines.from_WAsP_wtg(wtg_file)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### User-defined WindTurbine"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.wind_turbines import WindTurbine\n",
"from py_wake.wind_turbines.power_ct_functions import PowerCtTabular\n",
"u = [0,3,12,25,30]\n",
"ct = [0,8/9,8/9,.3, 0]\n",
"power = [0,0,2000,2000,0]\n",
"\n",
"my_wt = WindTurbine(name='MyWT',\n",
" diameter=123,\n",
" hub_height=321,\n",
" powerCtFunction=PowerCtTabular(u,power,'kW',ct))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Generic WindTurbine\n",
"PyWake has a `GenericWindTurbine` class which make a wind turbine where the power is computed by a analytical model based on diameter and nominal power. \n",
"The model takes a lot of optional inputs which default to empirical values, e.g. \n",
"`air_density=1.225, max_cp=.49, constant_ct=.8, gear_loss_const=.01, gear_loss_var=.014, generator_loss=0.03, converter_loss=.03`."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.wind_turbines.generic_wind_turbines import GenericWindTurbine\n",
"gen_wt = GenericWindTurbine('G10MW', 178.3, 119, power_norm=10000, turbulence_intensity=.1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Multi-type Wind Turbines\n",
"You can collect a list of different turbine types into a single WindTurbines object"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"wts = WindTurbines.from_WindTurbine_lst([v80,iea37,dtu10mw,my_wt,gen_wt,neg2750])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Name:\t\tV80\t3.35MW\tDTU10MW\tMyWT\tG10MW\tNEG-Micon 2750/92 (2750 kW)\n",
"Diameter[m]\t80.0\t130.0\t178.3\t123.0\t178.3\t92.0\n",
"Hubheigt[m]\t70.0\t110.0\t119.0\t321.0\t119.0\t70.0\n"
]
}
],
"source": [
"types = wts.types()\n",
"print (\"Name:\\t\\t%s\" % \"\\t\".join(wts.name(types)))\n",
"print('Diameter[m]\\t%s' % \"\\t\".join(map(str,wts.diameter(type=types))))\n",
"print('Hubheigt[m]\\t%s' % \"\\t\".join(map(str,wts.hub_height(type=types))))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3ddcf0310>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"

Mads M. Pedersen
committed
},
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{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ws = np.arange(3,25)\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.ylabel('Power [kW]')\n",
"for t in types:\n",
" plt.plot(ws, wts.power(ws, type=t)*1e-3,'.-', label=wts.name(t))\n",
"plt.legend(loc=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
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},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3d87e0c40>"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"plt.xlabel('Wind speed [m/s]')\n",
"plt.ylabel('Ct [-]')\n",
"for t in types:\n",
" plt.plot(ws, wts.ct(ws, type=t)*1e-3,'.-', label=wts.name(t))\n",
"plt.legend(loc=1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Multidimensional Power/Ct curves"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Some WAsP wtg files defines multiple wind turbine modes. E.g. the `Vestas V112-3.0 MW.wtg` which has 12 modes representing different levels of air density. In this case, the mode defaults to 0."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3dd8bdc70>"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"wtg_file = os.path.join(wtg_path, 'Vestas V112-3.0 MW.wtg')\n",
"v112 = WindTurbines.from_WAsP_wtg(wtg_file)\n",
"required_inputs, optional_inputs = v112.function_inputs\n",
"upct = {}\n",
"for m in [0,1,5]:\n",
" plt.plot(v112.power(ws, mode=m)/1000, label=f'mode: {m}')\n",
"\n",
"p0,ct0 = v112.power_ct(ws, mode=0)\n",
"p1,ct1 = v112.power_ct(ws, mode=1)\n",
"\n",
"plt.ylabel('Power [kW]')\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Discrete dimensions (e.g. operational mode)\n",
"WindTurbines can be defined using a `PowerCtFunctionList`. In fact this is the approach used by multi-mode WAsP wind turbines and also when creating multi-type wind turbine (in which case the key is `type`)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3de1986d0>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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c15JVdTuAiExz+1qyCHHzNu7neHYu1/cs5RCUqrOvdsMO0HKgb4IzppLxy5yFiLQAegIr3Kb7RWStiEwWkbpuWwywu9BhqW5bce3nvsdYEUkQkQRbHhsaZqxJo0ntaC5tWb90B6bGw95E6HOPbZVqTDnxebIQkRrAZ8CDqpoJvA60BnrgXHm8UB7vo6qTVDVOVeNK2lnOVAyHT5xm4ZZ0RvRoWvqb8Fa8CVG1odso3wRnTCXk02QhIpE4iWKqqn4OoKr7VTVPVfOBt/hpqCkNaFbo8Fi3rbh2E8K+WruH3Hzl+h6lHILK3AtJM6DnbRBVwyexGVMZ+XI1lADvABtV9cVC7U0KdfsFsN59PAsYJSJRItISaAusBOKBtiLSUkSq4EyCz/JV3CY4fLEmjQ4X1Sz9vRWr3oX8POgdPHuFGxMKfLkaqh9wB7BORBLdtr8At4pID0CBFOBeAFXdICLTcSauc4FxqpoHICL3A98A4cBkVd3gw7hNgO08dILVu46W/o7t3NOQ8C60HQL1y7AxkjGmWL5cDbUYKGqweXYJxzwNnFd7W1Vnl3ScCS0zE/cgAiO6l7K6bNIMOHHAlssa4wN2B7cJKqrKjDVp9G1Zr/T7a694E+q3gVY/801wxlRilixMUFmbmsH2gyf4RWnvrUhbBWkJ0GcshNmPtTHlzf5VmaDyxZo0qkSEMaxLE8+dC1sxCarUgO63+iYwYyo5SxYmaOTm5fPl2j1c2aERtatGen/g8QNOeY8ev4LoUq6eMsZ4xZKFCRqLkw9y8Pjp0pf3WPUe5J12hqCMMT5hycIEjRlr0qhdNZJB7UtxB35eDiRMhtZXQoO2vgvOmErOkoUJCieyc/lmw36Gd2tCVEQpKsxunAXH9kLfe30XnDHGkoUJDnOT9nMqJ6/05T1WTIK6LaHN1b4JzBgDWLIwQeKLNWnE1KlK3MV1PXcusPdH2L3cqS5ry2WN8Sn7F2YCLv1YNj9sTef6nqWsMLtiEkRWgx63+S44YwxgycIEgS/X7iFfKd0Q1IlDsO4T6D4KqtbxWWzGGIclCxNwM9ak0blpLdo2run9QaunQF62LZc1xk8sWZiA2pZ+nB9TM0pX3iMvF+LfgZYDoFFH3wVnjDnDkoUJqJlr0ggTuK40FWY3fwWZqdD3Pt8FZow5iyULEzCqyozEPVzeugGNa0V7f+CKSVCnObQb5rvgjDFnsWRhAmb1rqPsOnyydOU99q2HnYudnfDCSnHznjHmgliyMAEzY00a0ZFhDO3c2PuDVk6CiKrQ8w7fBWaMOY8lCxMQOW6F2as7XUTNaC8rzJ48DGunQ7eboFo93wZojDmLJQsTEIu2pHPkZA7X9yjFxPaaDyD3FPSxOlDG+JslCxMQX6xJo261SAa087LCbH4exL8FF/eDi7r4NjhjzHksWRi/O5aVw9yk/VzXvSmR4V7+CG75Bo7usuqyxgSIJQvjd99s2E92bj4jS1PeY8UbUCsW2g/3XWDGmGJZsjB+N2NNGs3rVeOS5nW8O+DAJtixEHrfDeERPo3NGFM0nyULEWkmIvNFJElENojIA257PRGZKyJb3e913XYRkZdFJFlE1orIJYXONdrtv1VERvsqZuN7+zOzWLLtINf3jEHEywqz8W9BeBRccqdPYzPGFM+XVxa5wMOq2gm4FBgnIp2A8cB3qtoW+M59DnAN0Nb9Ggu8Dk5yASYAfYE+wISCBGMqnlmJe1DF+1VQWRmQ+BF0+SVUr+/b4IwxxfJZslDVvaq62n18DNgIxAAjgSlutynA9e7jkcD76lgO1BGRJsBQYK6qHlbVI8BcwOo8VFAzEtPoHlubVg1reHfAj9Mg54SzwZExJmD8MmchIi2AnsAKoLGq7nVf2gcU3L4bA+wudFiq21Zcu6lgtuw/xoY9md6X91CFlW9BTBzEXOK5vzHGZ3yeLESkBvAZ8KCqZhZ+TVUV0HJ6n7EikiAiCenp6eVxSlPOZqxJIzxM+Hk3L4egti+AQ1ttzwpjgoBPk4WIROIkiqmq+rnbvN8dXsL9fsBtTwOaFTo81m0rrv0sqjpJVeNUNa5hQy9v9DJ+k5+vzEzcwxVtG9CwZpR3B618C6o1gM7X+zQ2Y4xnvlwNJcA7wEZVfbHQS7OAghVNo4GZhdp/7a6KuhTIcIervgGGiEhdd2J7iNtmKpDlOw6RdvSU91unHt0FW76GXqMhwsvkYozxmRIXrYvIWi/Oka6qVxbR3g+4A1gnIolu21+AicB0EfkNsBO42X1tNnAtkAycBO4CUNXDIvIUEO/2+4eqHvYiLhNEPklIpWZ0BMO6XOTdAQmTne9xd/suKGOM1zzd4RSO8wu8OIJzRXAeVV3svl6U85KLO38xrphzTQYmlxipCVoZp3KYvW4vN8XFEh3pxR4UOVmwagp0GA61Y30foDHGI0/J4l5V3VlSBxH5XTnGY0LQrB/3kJ2bzy1xzb07YMPncOow9LblssYEC09zFg1EpFFJHdwrCGOK9UnCbjpcVJMuMbW8O2DlJGjQHloO8G1gxhiveUoWtwNr3DIbU9zlqVYf2nht495M1qZmcEvvZt6V90hdBXvWODfheVsOxBjjcyUmC1W9UVVjgKtxViB1A6aISLqIzPZHgKZim56wmyrhYd6vglo5CarUhO6jfBuYMaZUvCrhqaopIhINVHW/Ch4bU6zs3Dy+WJPG1Z0bU7d6Fc8HHE935it63QlRNX0enzHGe56Wzv4FuAxoCGwGlgOvAGNVNc/34ZmKbG7Sfo6ezOGWuGaeOwOseR/yTtvEtjFByNOVxa+BE8D/gKXAClXN8HlUJiRMT0ilae1o+rVp4LlzXi7ET4aWA6FhO98HZ4wpFU9zFh1w5isSgEHAFyKyUkTeEpG7/BCfqaDSjp7ih63p3BjXjPAwLyaqt3wNmalWB8qYIOVxzsK9W/pLEZkD9AIGAPcCdwPv+jY8U1F9mpCKKtzUy8ub6lZOgtrNoJ1VnzcmGHmasxgBXI5TuqMzsAFYAjyMMyxlzHny85VPVu2mX5v6NKtXzfMB6ZthxyK48gnbNtWYIOXpX+adOMnhz8AqVT3t84hMhbds+yFSj5zikaHtvTtg5VsQXgUusR1zjQlWnuYsblDVF4A65yYKEbnPp5GZCuvj+N3Uio5gaGcvigZmZcKPBdumejERbowJCG9LlP9NRH5W8ERE/oyzDaoxZ8k4mcOcDfu4vmeMd0UD134Mp4/btqnGBDlvB4hH4ExyP4Kz/3UHLFmYIsz8MY3Tufnc7M29FarOxHbTSyCml++DM8aUmVdXFqp6ECdhvAo0BW60+QtTlI/jd9O5aS26xNT23HnHQji4xZbLGlMBlJgsROSYiGSKSCbOpkTtgJuAgjZjzliflsGGPZneXVWAu21qfej8C98GZoy5YCUOQ6mqFegxXvskYTdVIrwsGnh0N2yeDf0egMho3wdnjLkgnq4sPC5n8aaPCX1ZOXnMSNzDsM4XUbtapOcDbNtUYyoUT3MW3pQht1Llhm+T9pNxKse7IaicLFg9BdpfC3W83D3PGBNQnlZDdfcwNyGAzV0YpsfvJrZuVS5vXd9z56QZcPIQ9B7j87iMMeXD05yFFwvlTWW3+/BJFicf5KGr2hHmTdHAlZOgfltoNcjnsRljyoe3N+UZU6xPV6UiAjfGeVE0MHUVpK1ylsvatqnGVBiWLMwFyctXPl2VSv82DYip48XmifFvQZUatm2qMRWMJQtzQZYkHyTt6Clu6e3FxPaJg7D+cydRRNfyfXDGmHLjMVmISLiIbCrtiUVksogcEJH1hdqeFJE0EUl0v64t9NpjIpIsIptFZGih9mFuW7KIjC9tHMa3pifspk61SK7u1Nhz59XvQ162bZtqTAXkMVm4e21vFpHSrnF8D6eO1LleUtUe7tdsABHpBIzC2TNjGPCam6TCcUqMXAN0Am51+5ogcOTEab7dsJ/re8QQFeFhLURernNvRcsB0KiDfwI0xpQbbwsJ1gU2iMhKnD25AVDVEcUdoKqLRKSFl+cfCUxT1Wxgh4gkA33c15JVdTuAiExz+yZ5eV7jQzMS0zid52XRwA1fQMZuGDbR94EZY8qdt8nib+X4nveLyK9x9vV+WFWPADHA8kJ9Ut02gN3ntPct6qQiMhYYC9C8ud3o5Wuqysfxu+kaU5tOTT3MP+TnwaLnoFEn50Y8Y0yF423V2YVAChDpPo4HVpfh/V4HWgM9gL3AC2U4R5FUdZKqxqlqXMOGDcvrtKYY69My2bTvGDd7M7GdNBMOboYBj0CYrakwpiLy6l+uiNwDfAq86TbFADNK+2aqul9V81Q1H3iLn4aa0oDCv3Vi3bbi2k2AfZywi6iIMEZ0b1pyx/x856qiQXvoZFugGFNRefvfvHFAP9zSHqq6FWhU2jcTkSaFnv4CKFgpNQsYJSJRItISaAusxLmCaSsiLUWkCs4k+KzSvq8pX1k5ecxM3MM1XS6idlUPRQM3fQkHkmDAnyDMCgIYU1F5O2eRraqnxb3jVkQiAC3pABH5CBgENBCRVGACMEhEerjHpgD3AqjqBhGZjjNxnQuMc1dhISL3A98A4cBkVd1Qij+f8YE56/dxLCvX8xCUKiz6F9RrDZ1v8E9wxhif8DZZLBSRvwBVReRq4HfA/0o6QFVvLaL5nRL6Pw08XUT7bKyybVD5OH43zepV5dKWHooGbpkD+9bB9a9DuLc/asaYYOTtMNR4IB1Yh3M1MBv4q6+CMsFr16GTLNt+iJt7NSu5aKAqLHwW6raArjf5LT5jjG94+9+9wcAHqvqWL4MxwW96wm7vigYmz4M9a2DEfyDci82QjDFBzdsri18DP4rIchF5TkSuE5G6vgzMBJ/j2bn8d/lOrurYmCa1SygaqAoLJkLt5tDNCgYaEwq8urJQ1dEAItIUuBGnBEdTb483oeGD5TvJOJXD/YPblNxx+3xIS4DhL0JEFf8EZ4zxKa9+2YvI7cAVQFfgIPAK8IMP4zJBJisnj7d/2MEVbRvQvVmd4juqwsJ/Qc2m0PN2v8VnjPEtb68M/g1sA94A5qtqiq8CMsHp4/jdHDyezbjBPUvumLIYdi2Da56DiCj/BGeM8Tlvy300AO4GooGnRWSliPzXp5GZoHE6N583F24j7uK69G1Zr+TOC5+FGhfBJb/2T3DGGL/wttxHLaA5cDHQAqgN5PsuLBNMZiSmsScji3E/a4OUtBXqzqWQ8gP0ewAio/0XoDHG57wdhlpc6OsVVU31XUgmmOTlK68v2EbnprUY1M5DgcaF/4LqDaHXnX6JzRjjP96uhuoGICI1fBuOCTaz1+1lx8ETvHbbJSVfVeyOd1ZBXf0UVKnmvwCNMX7h7TBUFxFZA2wAkkRklYh08W1oJtBUlVfnJ9O6YXWGdb6o5M6L/gVV60Hc3f4JzhjjV97elDcJ+KOqXqyqzYGH3TYTwr7beIBN+47xu0FtSi7tkbYatn4Ll98PUXbxaUwo8jZZVFfV+QVPVHUBUN0nEZmgoKq8Mj+Z2LpVGdHDw54Vi56D6DrQ+x6/xGaM8T9vk8V2EfmbiLRwv/4KbPdlYCawlm47ROLuo9w3sDWR4SX8mOz9ETbPhsvGQbSH7VWNMRWWt8nibqAh8DnwGVBw34UJUa98n0yjmlHc2MtDwcBFz0FUbegz1j+BGWMCosTVUCISDdwHtMEpT/6wqub4IzATOKt2HmHZ9kP8dXhHoiNL2N1ufxJs/B8MfBSq1vFbfMYY//N0ZTEFiMNJFNcAz/k8IhNwr81Ppm61SG7t07zkjouegyo1oO99/gnMGBMwnu6z6KSqXQFE5B2cfbFNCEvak8l3mw7wx6vbUT2qhB+P9M2w4Qvo/xBU81ACxBhT4Xm6sjgz5KSquT6OxQSBVxckUyMqgtGXtSi546LnIbIaXHa/X+IyxgSWpyuL7iKS6T4WnD24M93Hqqq2/CWEbEs/zux1e7lvYGtqVythd7uDybD+UydRVPewD7cxJiSUmCxUtYTZTRNqXl+wjaiIMH7Tv2XJHX94AcKj4PLf+ycwY0zAebt01oS41CMnmbEmjVG9m9OgRgn7UBzeAWs/dsp61GjkvwCNMQFlycIA8ObC7YjAvQNbldxxwT8hLAL6/cE/gRljgoLPkoWITBaRAyKyvlBbPRGZKyJb3e913XYRkZdFJFlE1orIJYWOGe323yoio30Vb2V2IDOLjxN288tLYmlSu2rxHXcscq4qLv891PRQWNAYE1J8eWXxHjDsnLbxwHeq2hb4zn0Ozj0cbd2vscDr4CQXYALQF+gDTChIMKb8vLN4B7l5+dw3sHXxnXKz4cuHoG5LGPAn/wVnjAkKPksWqroIOHxO80icG/1wv19fqP19dSwH6ohIE2AoMFdVD6vqEWAu5ycgcwGOnjzNB8t3cl33prRoUEJtyMX/hkPJMPx5iCzh6sMYE5L8PWfRWFX3uo/3AY3dxzHA7kL9Ut224trPIyJjRSRBRBLS09PLN+oQ9u6SFE6czuN3g9oU3+nQNmcFVOcboM1V/gvOGBM0AjbBraoKaDmeb5KqxqlqXMOGHrb/NAAcz87lvaUpXN2pMe0vqll0J1Vn+CkiCob9078BGmOChr+TxX53eAn3+wG3PQ1oVqhfrNtWXLspBx8s30nGqRzuH1zCVcW6T2DHQrjyCZvUNqYS83eymAUUrGgaDcws1P5rd1XUpUCGO1z1DTBEROq6E9tD3DZzgbJy8nj7hx1c0bYB3ZvVKbrTqSPwzV8gppdtl2pMJeep3EeZichHwCCggYik4qxqmghMF5HfADuBm93us4FrgWTgJHAXgKoeFpGngHi33z9U9dxJc1MGH8fv5uDxbMYN7ll8p3l/h5OH4fbPIcxu5jemMvNZslDVW4t56coi+iowrpjzTAYml2NolV52bh5vLtxG3MV16duymIqxu1fCqned+k9Nuvk3QGNM0LE7uCuh1+ZvY09GFg9e1Q4ROb9DXg7870GoFQODHvN7fMaY4OOzKwsTnLbuP8ZrC5IZ0b0p/ds2KLrT8tfgwAa4ZSpE1fBvgMaYoGRXFpVIfr4y/vN1VI+K4InrOhXd6eguWDAR2l8LHX/u3wCNMUHLkkUlMnXlLlbtPMLj13YsurKsKsx+BBC45l9+j88YE7wsWVQS+zKyePbrTfRrU58be8UW3Wnj/2DLHBj8GNRpVnQfY0ylZMmikpgwaz05efk8fX3Xoie1s4/B149C467Q97f+D9AYE9QsWVQCc9bv45sN+3nwqnbFFwuc/wwc2wvX/RvCbd2DMeZslixCXGZWDk/MXE/HJrUYc0Ux26XuSYQVb0DcXRAb59f4jDEVgyWLEPfs15s4eDybZ3/ZlcjwIv668/PgywehWgO4coLf4zPGVAw23hDC4lMOM3XFLn7TvyXdYusU0+kd2LMGfvkOVC2mjzGm0rMrixCVnZvH+M/WElOnKn+8ul3RnTL3wnf/gFaDocsv/RugMaZCsSuLEPXa/G1sSz/Bu3f1pnpUMX/Nc8ZD3mkY/gIUtULKGGNcdmURggqX9BjcvlExneZC0gwY8AjUL2HvbWOMwZJFyPGqpEdWJnz1MDRoB/3+4N8AjTEVkg1DhZiCkh7P3dit6JIe+Xnw+T2QkQp3fulsl2qMMR5YsgghXpX0+P4pp6THtc/DxZf7N0BjTIVlw1Ah5ImZHkp6rJ0Oi1+CXndB7zH+D9AYU2FZsggRc9bv5dukEkp6pK6CmffDxf2cirK2+skYUwqWLEJAxqkcnpi5ofiSHpl7YdqvoGZjuPm/EFHF/0EaYyo0m7MIAc/OcUp6vD067vySHjmnnESRfQzumAvV6wcmSGNMhWbJooJbueMwHxZX0kMVZv0e9qx2tkht3DkgMRpjKj4bhqrAsnPzeOzzEkp6LPk3rPsEfvZX2yLVGHNB7MqiAnvh2y3Fl/TY/DXM+zt0vgGu+FNgAjTGhIyAXFmISIqIrBORRBFJcNvqichcEdnqfq/rtouIvCwiySKyVkQuCUTMwea/y1KYtGg7t/Vtfn5JjwMb4bMx0KQ7jHzVVj4ZYy5YIIehBqtqD1Ut2G1nPPCdqrYFvnOfA1wDtHW/xgKv+z3SIDNn/T6emLWBqzo24u8jzpmHOHkYPhoFVarDqA+hSrXABGmMCSnBNGcxEpjiPp4CXF+o/X11LAfqiEiTAMQXFBJSDvPAtDV0j63Df269hIjCq5/ycmD6r52lsrdMhdoxgQvUGBNSApUsFPhWRFaJyFi3rbGq7nUf7wMau49jgN2Fjk11284iImNFJEFEEtLT030Vd0AlHzjGb6Yk0LROVSbf2ZuqVcLP7jBnPKT8ANf9HzTrHZggjTEhKVAT3P1VNU1EGgFzRWRT4RdVVUVES3NCVZ0ETAKIi4sr1bEVwf7MLEZPjicyPIwpd/WhXvVzbqyLfwfi34bLfw89bg1MkMaYkBWQKwtVTXO/HwC+APoA+wuGl9zvB9zuaUCzQofHum2VRmZWDne+G8/Rk6d5767eNK9/zjzEjh/g6z9D2yFw1d8DE6QxJqT5PVmISHURqVnwGBgCrAdmAaPdbqOBme7jWcCv3VVRlwIZhYarQt7p3Hzu++8qtu4/xuu396JLTO2zOxze4cxT1GsFv3wbwsKLPpExxlyAQAxDNQa+cKuiRgAfquocEYkHpovIb4CdwM1u/9nAtUAycBK4y/8hB0Z+vvLIpz+ydNshXry5OwPaNTy7Q/Yxp5SH5sOt0yC6dtEnMsaYC+T3ZKGq24HuRbQfAq4sol2BcX4ILeg8O2cTMxP38Odh7bnhknP2pzh1BKbdBumb4fbPbGtUY4xP2R3cQWry4h28uWg7v77sYn478JxEcCQFpt7kfL9hErQeHIgQjTGViCWLIPTV2r089VUSQzs3ZsJ1nc/eyCh1FXx0i3NPxR0zoEW/gMVpjKk8gummPAMs336Ihz5OpFfzuvzfqJ6EhxVKFBv/B+8Nh8hqMGaeJQpjjN9Ysggim/cd4573E2hevxpvj44jOrLQyqZlr8HHd0DjTjDmO2jQNnCBGmMqHRuGChJ7jp5i9OSVVKsSzpS7+1CnmnvTXX4efPMXWPEGdPg53PCW1XsyxvidJYsgkHEqhzvfXcmJ7Fym33cZMXWqOi+cPuFUj908Gy4dB0OesvsojDEBYckiwDJO5XDP+wnsOHiCKXf1oWOTWs4Lx/Y7E9l7f4Rr/gV97w1soMaYSs2SRQCtTT3KuA9Xs/doFi/e0oPL2zRwXjiwyVkae/KgUz22w7WBDdQYU+lZsggAVWXK0hSenr2RRjWjmX7fZVzSvK7z4o5FMO12iIiCO7+CGNvryRgTeJYs/CwzK4dHP13L1+v3cVXHRjx/U/efJrMTP4JZv3fqPN32CdS9OLDBGmOMy5KFH61Py+B3U1eTdvQUf7m2A/dc0cq54U4VFv4LFjwDLa6AWz6AqnUCHa4xxpxhycIPVJUPlu/kqS83Ur9GFabfeym9Lq7nvJiV6ZQX//Ej6H4rXPcyRFQp+YTGGONnlix8LDMrh8c+W8dX6/YyuH1DXry5B3WrV4H8fPjxQ5j3dziRDgPHw6DxULi0hzHGBAlLFj60Pi2DcR+uJvXIKcZf04GxV7QiLExgd7xzNbFnNcT2gV99bBPZxpigZsnCB1SVD1bs4qn/JVGvehWmjb2U3i3qwbF9MO9JZ8ipxkXwizeh680QZlVXjDHBzZJFOTuWlcNjn6/jy7V7GdiuIS/d0oN6UQqLX4JFz0Peaej/EFzxMETVDHS4xhjjFUsW5WjDngzu/3ANuw6f5M/D2nPfgNaEJX8Lc8bD4e3Q7hoY+rRtVGSMqXAsWZSDzKwc3l+awsvfJ1O3WiQf3XMpfWoegg9vguS5UL+ts5tdm6sCHaoxxpSJJYsLcPB4Nu8u2cH7S3dyLDuXqzs1ZuLwFtRPeMGpEhtZDYY8DX3G2nJYY0yFZsmiDPYcPcWkRduZFr+L7Nx8ru3ShN8ObEmX9K9g8q3OUtiet8OVT0CNRoEO1xhjLpgli1LYln6cNxZs44s1aQD8omcMv++uNE/9Ej6dDkd32lJYY0xIsmThhfVpGby+YBuz1++lSngY9/aqyT31Eqmz9Tn4cDVIGLQaBFc9CZ2ut6WwxpiQY8miBPEph3l1fjILNqfTMCqPlzvvYGjeIqqsnw+aBxd1c+YkuvwSajUJdLjGGOMzFSZZiMgw4P+AcOBtVZ3oi/dRVRZuSee1+dtISDnIkGpb+Pri1XQ4Mh9JPgG1YqHfH6DbLdCooy9CMMaYoFMhkoWIhAOvAlcDqUC8iMxS1aTyfJ/dh09y338TyN+3nturLefd2kupnp0OR2tB5xug+yhofrkNMxljKp0KkSyAPkCyqm4HEJFpwEigXJNF4/wDvHHs9zSLSkE1AmkxxLmCaDcMIqPL862MMaZCqSjJIgbYXeh5KtC3vN+kSt1YmrXqAG1/j3T6BVSvX95vYYwxFVJFSRYeichYYCxA8+bNy3aS8Ahn2asxxpizVJTB9zSgWaHnsW7bGao6SVXjVDWuYcOGfg3OGGNCXUVJFvFAWxFpKSJVgFHArADHZIwxlUaFGIZS1VwRuR/4Bmfp7GRV3RDgsIwxptKoEMkCQFVnA7MDHYcxxlRGFWUYyhhjTABZsjDGGOORJQtjjDEeWbIwxhjjkahqoGModyKSDuy8gFM0AA6WUzihyD4fz+wzKpl9Pp4F4jO6WFWLvFEtJJPFhRKRBFWNC3Qcwco+H8/sMyqZfT6eBdtnZMNQxhhjPLJkYYwxxiNLFkWbFOgAgpx9Pp7ZZ1Qy+3w8C6rPyOYsjDHGeGRXFsYYYzyyZGGMMcYjSxaFiMgwEdksIskiMj7Q8QQjEUkRkXUikigiCYGOJ9BEZLKIHBCR9YXa6onIXBHZ6n6vG8gYA62Yz+hJEUlzf44SReTaQMYYSCLSTETmi0iSiGwQkQfc9qD6ObJk4RKRcOBV4BqgE3CriHQKbFRBa7Cq9gimNeAB9B4w7Jy28cB3qtoW+M59Xpm9x/mfEcBL7s9RD7eqdGWVCzysqp2AS4Fx7u+eoPo5smTxkz5AsqpuV9XTwDRgZIBjMkFOVRcBh89pHglMcR9PAa73Z0zBppjPyLhUda+qrnYfHwM2AjEE2c+RJYufxAC7Cz1PddvM2RT4VkRWufuem/M1VtW97uN9QONABhPE7heRte4wVaUeqisgIi2AnsAKguznyJKFKa3+qnoJznDdOBEZEOiAgpk6a9Ntffr5XgdaAz2AvcALAY0mCIhIDeAz4EFVzSz8WjD8HFmy+Eka0KzQ81i3zRSiqmnu9wPAFzjDd+Zs+0WkCYD7/UCA4wk6qrpfVfNUNR94i0r+cyQikTiJYqqqfu42B9XPkSWLn8QDbUWkpYhUAUYBswIcU1ARkeoiUrPgMTAEWF/yUZXSLGC0+3g0MDOAsQSlgl+Crl9QiX+ORESAd4CNqvpioZeC6ufI7uAuxF2+928gHJisqk8HNqLgIiKtcK4mwNm//cPK/hmJyEfAIJxy0vuBCcAMYDrQHKdU/s2qWmkneIv5jAbhDEEpkALcW2h8vlIRkf7AD8A6IN9t/gvOvEXQ/BxZsjDGGOORDUMZY4zxyJKFMcYYjyxZGGOM8ciShTHGGI8sWRhjjPHIkoWp8ETkJRF5sNDzb0Tk7ULPXxCRP4rIiNJWExaR90TkxnIMt9RE5E4ReaWI9oLKrf8owzlHicjjxbzW2q0Ee7ws8ZrQZMnChIIlwOUAIhKGs56/c6HXLweWquosVZ0YgPh86SVVfaIMx10DzCnqBVXdpqo9LigqE3IsWZhQsBS4zH3cGedu4GMiUldEooCOwOrC/0N3rxheFpGlIrK94OpBHK+4+5rMAxoV9YYi8gd3/4G1IjLNbXtSRP4rIsvcPQjuKdT/ERGJd/v/vVD77SKy0v2f/JtuqXxE5C4R2SIiK4F+3nwI7vtPEZEfRGSniNwgIv9y9x+Z45aUKLhjuIf7mQwstKfEmoI79I05V0SgAzDmQqnqHhHJFZHmOFcRy3AqBl8GZADrVPW08zvyLE2A/kAHnNIKn+KUnmiPs6dJYyAJmFzE244HWqpqtojUKdTeDWdPgurAGhH5CugCtMWpfyTALLcAYzpwC9BPVXNE5DXgNhGZC/wd6OXGPx9Y4+XH0RoY7Ma/DPilqv5ZRL4AhuPcXd4T+FFVVUT+BIxT1SVuIbssL9/HVDKWLEyoWIqTKC4HXsRJFpfj/LJdUswxM9xCdkkiUlD+eQDwkarmAXtE5Ptijl0LTBWRGTi/gAvMVNVTwCkRmY+TIPrj1NEq+IVfAyd5dMNJCPFuIquKUyyuL7BAVdMBRORjoJ13HwNfu4lnHU7ZmoKhpnVAC/fxMOBr9/ES4EURmQp8rqqpXr6PqWRsGMqEioJ5i644w1DLca4sLsdJJEXJLvT4vMsOD4bj7Kx4Cc4v+4L/eJ1bP0fdc/+z0K5wbVT1Hbd9SqH29qr6ZCnjOFc2gJsEc/Snej75/PSfwyHAt26/icAYnES1REQ6XOD7mxBlycKEiqXAz4HDbunrw0AdnIRRXLIoyiLgFhEJdyujDj63gzuJ3kxV5wOPArVxrhYARopItIjUxymWFw98A9ztDvMgIjEi0ghnq8wb3ccFey5fjFNAbqCI1HfnGW4qzQdREhGpDUSo6iH3eWtVXaeqz7qxWrIwRbJhKBMq1uGsgvrwnLYaqnqwFOf5AvgZzlzFLpxx/3OFAx+4v3gFeFlVj7pDSWtx5hgaAE+p6h6c4ayOwDK3z3HgdlVNEpG/4uw8GAbk4MwfLBeRJ933PgokliJ+T64G5hV6/qCIDMa58tjAT8NTxpzFqs4aU07cX/DHVfX5YH0/9/6Tt1V1uRd9j6tqDU/9TOVgVxbGVFzHgbEiUsvbey1UdYynPiLSGmfXtv0XGJ8JIXZlYYwxxiOb4DbGGOORJQtjjDEeWbIwxhjjkSULY4wxHlmyMMYY49H/B5j+Pk0FRrYEAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from py_wake.wind_turbines.power_ct_functions import PowerCtFunctionList\n",
"\n",
"mode0_power_ct=PowerCtTabular(ws, p0, 'w', ct0)\n",
"mode1_power_ct=PowerCtTabular(ws, p1, 'w', ct1)\n",
"\n",
"multimode_power_ct = PowerCtFunctionList(key='my_mode', \n",
" powerCtFunction_lst=[mode0_power_ct, mode1_power_ct], \n",
" default_value=None)\n",
"wt = WindTurbine('MultimodeWT', 112, 84, powerCtFunction=multimode_power_ct)\n",
"\n",
"for m in [0,1]:\n",
" plt.plot(wt.power(ws, my_mode=m)/1000, label=f'my_mode: {m}')\n",
"plt.ylabel('Power [kW]')\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Multidimentional power/ct tabulars\n",
"It is also possible to setup a wind turbine using a multidimensional power and ct tabular array. In this case the power can ct values will be calculated using multidimensional linear interpolation. "
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3de1984c0>"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"from py_wake.wind_turbines.power_ct_functions import PowerCtNDTabular\n",
"\n",
"# setup multidimensional power and ct tabulars\n",
"# p0,ct0 ~ rho=0.95\n",
"# p1,ct1 ~ rho=1.225\n",
"\n",
"power_array = np.array([p1,p0]).T\n",
"ct_array = np.array([ct1,ct0]).T\n",
"density = [0.95,1.225]\n",
"powerCtFunction = PowerCtNDTabular(input_keys=['ws','rho'], \n",
" value_lst=[ws,density], \n",
" power_arr=power_array, power_unit='w',\n",
" ct_arr=ct_array)\n",
"wt = WindTurbine('AirDensityDependentWT', 112, 84, powerCtFunction=powerCtFunction)\n",
"\n",
"for r in [0.995,1.1,1.225]:\n",
" plt.plot(wt.power(ws, rho=r)/1000, label=f'Air density: {r}')\n",
"plt.ylabel('Power [kW]')\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Alternatively, the data can be passed as an xarray dataset. The dataset must have the data variables, `power` and `ct`, and the coordinate, `ws`"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3de1c8f70>"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
},
{
"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 xarray as xr\n",
"from py_wake.wind_turbines.power_ct_functions import PowerCtXr\n",
"\n",
"ds = xr.Dataset(\n",
" data_vars={'power': (['ws', 'rho'], np.array([p1,p0]).T),\n",
" 'ct': (['ws', 'boost'], np.array([ct1, ct0]).T)},\n",
" coords={'rho': [0.95,1.225], 'ws': ws})\n",
"curve = PowerCtXr(ds, 'w')\n",
"wt = WindTurbine('AirDensityDependentWT', 112, 84, powerCtFunction=powerCtFunction)\n",
"\n",
"for r in [0.995,1.1,1.225]:\n",
" plt.plot(wt.power(ws, rho=r)/1000, label=f'Air density: {r}')\n",
"plt.ylabel('Power [kW]')\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Continous Power/Ct functions\n",
"Finally, the Power can Ct can be calculated using a function which may take multiple input variables."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3de2e9310>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"from py_wake.wind_turbines.power_ct_functions import PowerCtFunction\n",
"\n",
"def density_scaled_power_ct(u, rho=1.225):\n",
" # function to calculate power and ct\n",
" rated_power = 3e6\n",
" density_scale=rho/.95\n",
" return (np.minimum(np.interp(u,ws, p0) * density_scale, rated_power), # density scaled power, limited by rated power\n",
" u*0) #dummy ct\n",
"\n",
"powerCtFunction = PowerCtFunction(\n",
" input_keys=['ws','rho'], \n",
" power_ct_func=density_scaled_power_ct,\n",
" power_unit='w', \n",
" optional_inputs=['rho'], # allowed to be optional as a default value is speficifyed in density_scaled_power_ct\n",
")\n",
"wt = WindTurbine('AirDensityDependentWT', 112, 84, powerCtFunction=powerCtFunction)\n",
"\n",
"for r in [0.995,1.1,1.5]:\n",
" plt.plot(wt.power(ws, rho=r)/1000, label=f'Air density: {r}')\n",
"plt.ylabel('Power [kW]')\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### GenericTIRhoWindTurbine\n",
"The `GenericTIRhoWindTurbine` extends the [`GenericWindTurbine`](#Generic-WindTurbine) by with multidimensional power/ct curves that depends on turbulence intensity, `TI_eff` and the air density, `Air_density`."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0, 0.5, 'Ct')"
]
},
"execution_count": 15,
"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 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"from py_wake.wind_turbines.generic_wind_turbines import GenericTIRhoWindTurbine\n",
"wt = GenericTIRhoWindTurbine('2MW', 80, 70, power_norm=2000,\n",
" TI_eff_lst=np.linspace(0, .5, 6), default_TI_eff=.1,\n",
" Air_density_lst=np.linspace(.9, 1.5, 5), default_Air_density=1.225)\n",
"\n",
"u = np.arange(3, 28, .1)\n",
"ax1 = plt.gca()\n",
"ax2 = plt.twinx()\n",
"for ti in [0,.1,.3]:\n",
" p, ct = wt.power_ct(u, TI_eff=ti)\n",
" ax1.plot(u, p / 1e6, label='TI=%f' % ti)\n",
" ax2.plot(u, ct, '--')\n",
"ax1.legend(loc='center right')\n",
"ax1.set_ylabel('Power [MW]')\n",
"ax2.set_ylabel('Ct')\n",
"\n",
"plt.figure()\n",
"u = np.arange(3, 28, .1)\n",
"ax1 = plt.gca()\n",
"ax2 = plt.twinx()\n",
"for rho in [.9,1.2,1.5]:\n",
" p, ct = wt.power_ct(u, Air_density=rho)\n",
" ax1.plot(u, p / 1e6, label='Air density=%f' % rho)\n",
" ax2.plot(u, ct, '--')\n",
"ax1.legend(loc='center right')\n",
"ax1.set_ylabel('Power [MW]')\n",
"ax2.set_ylabel('Ct')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Power/Ct input arguments\n",
"The input arguments for the Power and Ct curves can be obtained from:\n",
"\n",
"- Arguments passed when calling the WindFarmModel\n",
"- Data present in the site\n",
"- Values computed in the simulation, i.e. `WS_eff` and `TI_eff`. Note that `WS_eff` is passed as `ws`"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Arguments passed to WindFarmModel call"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3de4fa910>"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"from py_wake.examples.data.hornsrev1 import Hornsrev1Site\n",
"from py_wake.deficit_models.noj import NOJ\n",
"wfm = NOJ(site=Hornsrev1Site(), windTurbines=wt)\n",
"\n",
"for rho in [0.95,1.225]:\n",
" sim_res = wfm([0], [0], wd=0, Air_density=rho) # rho passed to WindFarmModel call\n",
" power = sim_res.Power.squeeze() / 1000\n",
" plt.plot(power.ws, power, label=f'rho {rho}')\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.ylabel('Power [kW]')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Data present in Site"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3de5b0760>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"from py_wake.examples.data.hornsrev1 import Hornsrev1Site\n",
"from py_wake.deficit_models.noj import NOJ\n",
"\n",
"site = Hornsrev1Site()\n",
"site.ds['Air_density'] = ('wd',np.linspace(.95,1.225,13)) # wd-dependent rho added to site\n",
"\n",
"wfm = NOJ(site=site, windTurbines=wt)\n",
"\n",
"for wd in [0,330]:\n",
" sim_res = wfm([0], [0], wd=wd)\n",
" power = sim_res.Power.squeeze() / 1000\n",
" \n",
" plt.plot(power.ws, power, label=f'wd: {wd}')\n",
" \n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.ylabel('Power [kW]')\n",
"plt.legend()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Interpolation method"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PowerCtTabular\n",
"\n",
"`PowerCtTabular` which is used by most predefined wind turbines takes a `method` argument which can be \n",
"\n",
"- `linear`: Linear interpolation (default)\n",
"- `pchip`: Piecewise Cubic Hermite Interpolating Polynomial. Smooth interpolation with continous first order derivatives and not overshoots\n",
"- `spline`: Smooth interpolation with continous first and second order derivatives. Closer to original piecewise linear curve, but may have overshoots"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x2b3de614cd0>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"wt_lst = [(m, V80(method=m)) for m in ['linear','pchip','spline']]\n",
"_ws = np.linspace(14.8,20,1000)\n",
"for n, _wt in wt_lst:\n",
" plt.plot(_ws, _wt.power(_ws)/1e3, label=n)\n",
"plt.ylabel('Power [kW]')\n",
"plt.xlabel('Wind speed [m/s]')\n",
"plt.legend()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PowerCtNDTabular\n",
"When using the N-dimensional `PowerCtNDTabular`, only linear interpolation is supported"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"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": [
"# Top-view plot\n",
"from py_wake.examples.data.hornsrev1 import Hornsrev1Site\n",
"s = IEA37Site(16)\n",
"x,y = s.initial_position.T\n",
"wts.plot(x,y,type=np.arange(len(x))%len(types))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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ZB2a23sz+2S9vZmaLzGyT/7OpX25m9lszKzKzdWbWK94YRERSSnk5lJVBSQkUF3vLBw9GGlIYkx8dAn7inFttZo2AVWa2CLgRWOyc+6WZ3Q3cDdwFDAe6+K++wO/8nyIiZx7nYM0aWLECVq3yXhs2wFlnwZGpUvfvh7174bzzIC/Pe/XuDfn5UOf0XCAKY1rVbcA2f/krM9sAtAFGAIP8as8Db+ElixHADOfNML7MzJqYWba/HxGRM8Pu3fA//wNPPum1Gr79bS8JjB8PPXtCgwZV6+/fD++9901CeeIJOHQIbrkFbrwRmjZNaLihTqtqZu3x5uNeDrSKSQCfA6385TbAlpi3FftlVZKFmU0AJgC0a9cuzDBFRKLz+efw4IMwcyZcdpn3n/53vgNmx39f/fpea6J3b2/dOXj3XS/ZPPggXHst3HcfJOj/y9DaL2aWCfwvcLtzbnfsNr8V4U5mf865ac65fOdcfosWLcIKU0QkGs7Biy96rYaGDWH9epg9GwYNCk4U1TGDAQPgD3+AjRuhTRuvZfLMM96xQhZKy8LM0vESxQvOuZf94r8fubxkZtnAdr+8BGgb8/Ycv0xEJDV9/rl3uWjTJliwwOtrCFPLll7rYtQo75LUnDnw9NOhHiKMu6EMmA5scM49ErNpPjDOXx4HzIspH+vfFdUP2KX+CjnTbd68mfHjxzNy5MioQ5GwrV3rfeM//3yvryHsRBHrggu8S1OXXPLN5aqQhHEZaiBwA3CpmRX6ryuAXwKXmdkm4Lv+OsBfgM1AEfA0cGsIMYjUah07dmT69OlRhyFhW74cLr8cpk6Fn/8cMjISf8z0dLj3XnjuuVB3G8bdUP8PqOmC25Bq6jtgUrzHFRFJauvWwdVXw7PPwve+d/qPf8UVoe5OT3CLnKJ9+/YxYcIEHn/88ahDkWSzfTsMHw6PPRZNokgAJQuRU/TQQw+xZcsWfvWrX/Huu+/Gta+ysjImTpzImjVr+MUvfhFShBKZSZPgH/7B63BOEeYScItV2PLz811BQUHUYYhUOnToEO3atWPx4sX86U9/YuPGjepzEM/s2d7zDmvWfPMEdkTMbJVzLpQe9VAfyhM5U7zzzjvk5OTQrVs3mjRpwre+9S2mTZtGWlpa1KFJlLZvh9tug3nzIk8UYdNlKJFTsHLlSi6++GIAsrOzadGiBR999FHEUUnk/uM/YPRo6Jt6w90pWYicgtWrV9Or1zcDJufl5bF69eoII5LI7dnjjfV0xx1RR5IQShYip2DDhg2cf/75levdunVjw4YNEUYkkZs5Ey6+GM49N+pIEkLJQuQkHT58mKKiIs4777zKsq5du7Jx48YIo5JIOecNCHhr6j5jrGQhcpLKyso466yzyMzMrCw799xz2bJly3HeJSntww9hxw5vFNkUpWQhcpLKysrIysqqUpaVlcWOHTsiikgit3KlNwLsaZqIKAqpe2YiCbJjxw6aNWtWpaxZs2ZKFmeyggJvsMAUpmQhcpJ27NhxTMuiadOm7Ny5k8OHD0cUlURq1SolCxGpqqys7JiWRd26dcnMzGTXrl0RRSWRcQ4KCyHmVupUpCe4Y+zZs4dbb72VevXqMWjQIK6//vqoQ5IkVN1lKPAuRZWVldE0wXMhS5I5cAAqKqBx46gjSSi1LGK8/PLLjBw5kqeffpr58+dHHY4kqT179tCwYcNjyhs2bMjevXsjiEgitW9fwob2uP3227n99tsTsu+TpZZFjOLiYnr06AGgMX6kRhUVFdX+faSlpVFRURFBRJKqCgsLow6hUkq3LPbv38+2bdtO+DpyTk4OxcXFAOqolBrFJovYb35KFmeoBg1g//6oo0i4UFoWZvYscCWw3Tl3gV/WDHgJaA98Coxyzn3pz9n9KHAFsBe40TkX+qA6H330Ea+88gpnn302u3fv5sILL+Tyyy+nznHug7722muZPHkyCxYs4Kqrrgo7JEkRzjm8P+Oq3/zMTF8yzkQZGVC3LuzcCU2aRB1NwoR1Ger3wOPAjJiyu4HFzrlfmtnd/vpdwHCgi//qC/zO/xmaVatW8fbbbzNmzBjatm3Lvn37mDt3LjNnzmTMmDE1JoyGDRvyXMjz1krqqVOnTrVJ4fDhw7p8eSYyg9xcWL0aLr006mgSJpTLUM65d4Cjn0gaATzvLz8PfD+mfIbzLAOamFl2GHEA7Nq1i8WLF3PjjTfStm1bABo0aMD1119PeXm5RgaVuNV0uammvgw5A+Tne89apLBE9lm0cs5t85c/B1r5y22A2EF0iv2yKsxsgpkVmFlBaWnpCR90yZIl9OrV65hbG+vUqcPQoUN55513dF1Z4pKenk55efkx5eXl5dStq3tGzkh5eUoWYXDe3K0nNX+rc26acy7fOZffokWLE3rPwYMHee+99+hbw8Qj2dnZZGVl8eGHH55MKCJVHHla+2g7d+7UMxZnqt69YckSSOE+q0Qmi78fubzk/9zul5cAbWPq5fhlcdu6dSvNmzenUaNGNdY577zz+PTTT8M4nJyhqhsHyjlX48N6cgbo2hVatYKFC6OOJGESmSzmA+P85XHAvJjysebpB+yKuVwVl5KSEs4555zj1jnnnHPYunVrGIeTM9SRJ7Vj7d27lzp16tCgQYOIopJImXlzWTz5ZNSRJEwoycLMZgLvAl3NrNjMxgO/BC4zs03Ad/11gL8Am4Ei4GkgtNlCtm7dGpgssrOz2b59u/ot5JRVNxy5WhXC6NHw7rvwySdRR5IQofTGOefG1LBpSDV1HTApjOMerbS0lEsuueS4derVq0fjxo0pKyujZcuWiQhDUlx1LYvq5riQM8xZZ8HYsfDII/DYY1FHE7qUeoL74MGDZGRkVCmrbmyVjIyMau9mETkRzZs3p7S0tMqzFtu3b6d58+YRRiVJ4Z57YO5cr7M7xaTUfX4VFRXHPHBX3dgqGpZB4tGwYUOaNGlCSck392Vs2rSJzp07RxiVJIXmzb25uG+6Cdau9YYCSREp1bKoW7fuCSWBQ4cO6X54iUvXrl3ZuHFj5frGjRvp2rVrhBFJ0rj2Wu+5i3/7t6gjCVVKJYuMjAz27dsXWG/fvn3HXK4SORk9evRg3bp1levr1q2rHLFYhMceg9mz4YUXoo4kNCmVLFq3bs22bce/C3ffvn3s3btXD09JXPLy8igoKKhcX7NmDb1SfKY0OQnNm8Nrr8FPfgKvvBJ1NKFIqWRxIs9QbN26lezs7OOOPisSZNCgQSxatIjDhw+zc+dO2rdvr7uhpKru3WHBApg4EV588fQfP+QJ3FLqf8xzzjmnSqdjdU7kWQyRIO3bt+fCCy/kiy++YNu2bdx0001RhyTJKC8PFi+Gu+6Cf/kXb1a9RDt4EO67DyZMCHW3KZUsWrduzddff80XX3xR7XbnHOvXr6dTp06nOTJJRffccw8bN25k165djB07NupwJFl17+4NX75lizeU+dKliTvWmjXeOFWrV3uvEKVUsqhbty55eXksqeEe548//piKigo6dux4miOTVDRkyBDy8vLIy8vT09tyfC1awEsvwc9/Dj/4Adx2G3z2WXj737oV7r4bhg71WjDz50PIV1BSKlkA9O/fn02bNvHZUR/Evn37WLhwIUOGDKmc5UwkXmeddRbp6elRhyG1xciRsG4d1KkDvXrBiBHe4IOnMlqtc/Dmm/DDH3qtl127oLAQbrjBG6sqZCn3sEH9+vW55pprmD17NpdffjngzTMwffp0unTponvhRSRaLVrA1KleK2PmTK9F8I//CAMHen0ceXlw0UVw9tlV3/f1114yWLXKey1d6k3pOmkSTJ9+bP2QpVyyAOjUqRPjxo1j7ty5fPbZZ5gZAwYM0K2NIpI8GjaEm2+G8ePhgw9gxQovCcyZ47U+zODAAa9uZqbX+rjgAi+ZXHIJ3Hkn9OyZkFZEdVIyWQC0bNmSW2+9lZdeegkzU6IQkeRk5l1G6t7dGyYEoKIC9u6FYcO89dde8wYqjHDa3pRNFkeof0JEap20NGjUCI70hx1nQrfTJeU6uEVEJHxKFiIiEiiyZGFmw8xso5kVmdndUcUhIiLBIkkWZpYGPAEMB84HxpjZ+VHEIiIiwaJqWfQBipxzm51zB4FZwIiIYhERkQBR3Q3VBtgSs14M9I2tYGYTgAkA7dq1O+UD5ebmnvJ7RYLo70sSKZn+vsw5d/oPajYSGOacu9lfvwHo65ybXF39/Px8Fzt3gIiIBDOzVc65/DD2FdVlqBKgbcx6jl8mIiJJKKpksRLoYmYdzKweMBoId6YOEREJTSR9Fs65Q2Y2GVgIpAHPOufWRxGLiIgEi2y4D+fcX4C/RHV8ERE5cXqCW0REAilZiIhIICULEREJpGQhIiKBlCxERCSQkoWIiARSshARkUBKFiIiEkjJQkREAilZiIhIICULEREJpGQhIiKBlCxERCSQkoWIiARSshARkUBKFiIiEiiuZGFmPzSz9WZ22Mzyj9r2UzMrMrONZjY0pnyYX1ZkZnfHc3wRETk94m1ZvA9cC7wTW2hm5+PNq90dGAY8aWZpZpYGPAEMB84Hxvh1RUQkicU1rapzbgOAmR29aQQwyzl3APjEzIqAPv62IufcZv99s/y6H8QTh4iIJFai+izaAFti1ov9sprKRUQkiQW2LMzsdaB1NZvudc7NCz+kyuNOACYAtGvXLlGHERGRExCYLJxz3z2F/ZYAbWPWc/wyjlN+9HGnAdMA8vPz3SnEICIiIUnUZaj5wGgzyzCzDkAXYAWwEuhiZh3MrB5eJ/j8BMUgIiIhiauD28yuAR4DWgALzKzQOTfUObfezGbjdVwfAiY55yr890wGFgJpwLPOufVxnYGIiCScOZf8V3jy8/NdQUFB1GGIiNQqZrbKOZcfXDOYnuAWEZFAShYiIhJIyUJERAIpWYiISCAlCxERCaRkISIigZQsREQkkJKFiIgEUrIQEZFAShYiIhJIyUJERAIpWYiISCAlCxERCaRkISIigZQsREQkkJKFiIgEUrIQEZFAcSULM/u1mX1oZuvM7I9m1iRm20/NrMjMNprZ0JjyYX5ZkZndHc/xRUTk9Ii3ZbEIuMA5dyHwEfBTADM7HxgNdAeGAU+aWZqZpQFPAMOB84Exfl0REUlicSUL59z/OecO+avLgBx/eQQwyzl3wDn3CVAE9PFfRc65zc65g8Asv66IiCSxMPssfgy86i+3AbbEbCv2y2oqP4aZTTCzAjMrKC0tDTFMERE5WXWDKpjZ60Drajbd65yb59e5FzgEvBBWYM65acA0gPz8fBfWfkVE5OQFJgvn3HePt93MbgSuBIY45478p14CtI2pluOXcZxyERFJUvHeDTUMmAJc7ZzbG7NpPjDazDLMrAPQBVgBrAS6mFkHM6uH1wk+P54YREQk8QJbFgEeBzKARWYGsMw5N9E5t97MZgMf4F2emuScqwAws8nAQiANeNY5tz7OGEREJMHsmytHySs/P98VFBREHYaISK1iZqucc/lh7EtPcIuISCAlCxERCaRkISIigZQsREQkkJKFiIgEUrIQEZFAShYiIhJIyUJERAIpWYiISCAlCxERCaRkISIigZQsREQkkJKFiIgEUrIQEZFAShYiIhJIyUJERALFO63qv5vZOjMrNLP/M7Nz/HIzs9+aWZG/vVfMe8aZ2Sb/NS7eExARkcSLt2Xxa+fchc65XODPwM/88uF48253ASYAvwMws2bAfUBfoA9wn5k1jTMGERFJsLiShXNud8xqQ+DIHK0jgBnOswxoYmbZwFBgkXNuh3PuS2ARMCyeGEREJPHqxrsDM/s5MBbYBQz2i9sAW2KqFftlNZVXt98JeK0S2rVrF2+YIiISh8CWhZm9bmbvV/MaAeCcu9c51xZ4AZgcVmDOuWnOuXznXH6LFi3C2q2IiJyCwJaFc+67J7ivF4C/4PVJlABtY7bl+GUlwKCjyt86wf2LiEhE4r0bqkvM6gjgQ395PjDWvyuqH7DLObcNWAhcbmZN/Y7ty/0yERFJYvH2WfzSzLoCh4HPgIl++V+AK4AiYC9wE4BzboeZ/Tuw0q/3oHNuR5wxiIhIgsWVLJxzP6ih3AGTatj2LPBsPMcVEZHTS09wi4hIICULEREJpGQhIiKBlCxERCSQkoWIiARSshARkUBKFiIiEkjJQkREAilZiIhIICULEREJpGQhIiKBlCxERCSQeWP+JTczK8Ub1fZUNQe+CCmcKKXKeYDOJVmlyrmkynlAfOdyrnMulNnjakWyiJeZFTjn8qOOI16pch6gc0lWqXIuqXIekDznostQIiISSMlCREQCnSnJYlrUAYQkVc4DdC7JKlXOJVXOA5LkXM6IPgsREYnPmdKyEBGROChZiIhIoJRLFmb2T2b2oZmtN7NfxZT/1MyKzGyjmQ2NKR/mlxWZ2d3RRF0zM/uJmTkza+6vm5n91o93nZn1iqk7zsw2+a9x0UVdlZn92v9M1pnZH82sScy2Wvm5QO2IMZaZtTWzN83sA//fxz/75c3MbJH/d7PIzJr65TX+rSUDM0szszVm9md/vYOZLffjfcnM6vnlGf56kb+9faSBH8XMmpjZXP/fyAYz65+Un4lzLmVewGDgdSDDX2/p/zwfWAtkAB2Aj4E0//Ux0BGo59c5P+rziDmftsBCvAcSm/tlVwCvAgb0A5b75c2Azf7Ppv5y06jPwY/tcqCuv/ww8HBt/lz82JM+xmpizgZ6+cuNgI/8z+BXwN1++d0xn0+1f2vJ8gLuBF4E/uyvzwZG+8tPAbf4y7cCT/nLo4GXoo79qPN4HrjZX64HNEnGzyTVWha3AL90zh0AcM5t98tHALOccwecc58ARUAf/1XknNvsnDsIzPLrJovfAFOA2LsQRgAznGcZ0MTMsoGhwCLn3A7n3JfAImDYaY+4Gs65/3POHfJXlwE5/nJt/VygdsRYhXNum3Nutb/8FbABaIMX9/N+teeB7/vLNf2tRc7McoDvAc/46wZcCsz1qxx9HkfOby4wxK8fOTNrDFwCTAdwzh10zu0kCT+TVEsW5wHf9puab5tZb7+8DbAlpl6xX1ZTeeTMbARQ4pxbe9SmWncuR/kx3jcjqN3nUhtirJF/KeYiYDnQyjm3zd/0OdDKX07mc5yK90XqsL+eBeyM+VISG2vlefjbd/n1k0EHoBR4zr+k9oyZNSQJP5O6p+MgYTKz14HW1Wy6F+98muE1z3oDs82s42kM76QEnMs9eJdvaoXjnYtzbp5f517gEPDC6YxNqjKzTOB/gdudc7tjv2Q755yZJfX99GZ2JbDdObfKzAZFHE686gK9gH9yzi03s0fxLjtVSpbPpNYlC+fcd2vaZma3AC877+LeCjM7jDcIVwne9f8jcvwyjlOecDWdi5n1wPvGsdb/h5wDrDazPtR8LiXAoKPK3wo96Boc73MBMLMbgSuBIf7nA0n6uZyg48WetMwsHS9RvOCce9kv/ruZZTvntvmXNI5cvk3WcxwIXG1mVwD1gbOBR/EuydT1Ww+xsR45j2Izqws0BspOf9jVKgaKnXPL/fW5eMki+T6TqDt3wnwBE4EH/eXz8JprBnSnakfqZrwOyrr+cge+6aTsHvV5VHNen/JNB/f3qNrBtcIvbwZ8gte53dRfbhZ17H5sw4APgBZHldfaz6U2xFhNzAbMAKYeVf5rqnam/up4f2vJ9ML7gnSkg3sOVTu4b/WXJ1G1g3t21HEfdQ5/Bbr6y/f7n0fSfSaR/6JC/qXXA/4AvA+sBi6N2XYv3t0rG4HhMeVX4N0V8jHeJZPIz6Oa84pNFgY84cf7HpAfU+/HeJ3ERcBNUccdE1cRXuIu9F9PpcjnkvQxHhXvxXg3S6yL+SyuwLt+vxjYhHc3YbOgv7VkeR2VLDoCK/y/tzl8c1dkfX+9yN/eMeq4jzqHXKDA/1xewfuyl3SfiYb7EBGRQKl2N5SIiCSAkoWIiARSshARkUBKFiIiEkjJQkREAilZiIhIICULEREJ9P8BUeXSq5cKO/AAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Side-view plot\n",
"wts.plot_yz(np.array([-600,0,600]), wd=0, types=[0,1,2], yaw=[-30, 10, 90])"
]
}
],
"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": "3.8.8"
},
"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
}