{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Wind Turbine Object"
]
},
{
"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": [
"**Install PyWake if needed**"
]
},
{
"cell_type": "code",
"execution_count": null,
"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": "markdown",
"metadata": {},
"source": [
"### Setting up Windturbine objects"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Predefined WindTurbines example**\n",
"\n",
"PyWake contains a few predefined turbines, e.g. the V80 from Hornsrev1, the 3.35MW from IEA task 37 and the DTU10MW reference turbine."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**First we import basic Python elements**"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Now we import the wind turbines available in PyWake**"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.wind_turbines import WindTurbine, 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": [
"**You can also import wind turbine files from WAsP .wtg files**"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.examples.data import wtg_path\n",
"\n",
"wtg_file = os.path.join(wtg_path, 'NEG-Micon-2750.wtg')\n",
"neg2750 = WindTurbine.from_WAsP_wtg(wtg_file)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**In addition, user-defined WindTurbine objects is also supported by PyWake**\n",
"\n",
"Here it is necessary to specify the thrust coefficient (CT) and power curve of the wind turbine you want to create. The hub height and diameter are also parameters that must be specified."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.wind_turbines.power_ct_functions import PowerCtTabular\n",
"\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))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"PyWake has a `GenericWindTurbine` class which make a wind turbine where the power is computed by an analytical model based on diameter and nominal power.\n",
"\n",
"The model takes a lot of optional inputs which default to empirical values, e.g.\n",
"\n",
"- **air_density**= 1.225 kg/m$^3$\n",
"- **max_cp**= .49\n",
"- **constant_ct**= .8\n",
"- **gear_loss_const**= .01\n",
"- **gear_loss_var**= .014\n",
"- **generator_loss**= 0.03\n",
"- **converter_loss**= .03"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"from py_wake.wind_turbines.generic_wind_turbines import GenericWindTurbine\n",
"\n",
"#for a diameter of 178.3m and hub height of 119m\n",
"gen_wt = GenericWindTurbine('G10MW', 178.3, 119, power_norm=10000, turbulence_intensity=.1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**Multi-type Wind Turbines**\n",
"\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": 8,
"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": [
"### Power curves and CT curves"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**We plot first the power curve of the all turbines previously defined**"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
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