{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Roads and Cables" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[Try this yourself](https://colab.research.google.com/github/DTUWindEnergy/TopFarm2/blob/master/docs/notebooks/roads_and_cables.ipynb) (requires google account)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example, a layout optimization with the Internal Rate of Return (IRR) as the objective function is performed. The cost of cables and electrical grid cable components are specified within the cost model to see how these are incorporated into the optimization and their influence on the results. Both the NREL and DTU cost model can be selected to perform the optimizations and analyze their differences." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Install TOPFARM if needed**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Install TopFarm if needed\n", "import importlib\n", "if not importlib.util.find_spec(\"topfarm\"):\n", " !pip install git+https://gitlab.windenergy.dtu.dk/TOPFARM/TopFarm2.git" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In colab, use the \"inline\" backend" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# non-updating, inline plots\n", "%matplotlib inline\n", "import warnings\n", "warnings.filterwarnings('ignore')\n", "# ...or updating plots in new window\n", "#%matplotlib qt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**First, let's import a few TOPFARM classes and basic Python elements**\n", "\n", "In addition the the common TOPFARM elements such as the `CostModelComponent`, `TopFarmProblem`, optimization driver and constraints, here we are importing some electrical components that will calculate the influence of cabling costs in the optimization.\n", "\n", "**ElNetCost** will calculate the cost associated to the electrical connection in the wind farm, considering the cost per meter cable used. This cost will serve as input to the IRR calculation alongside the AEP of the wind farm, to obtain the total IRR when cabling is added to the optimization problem." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pylab as plt\n", "\n", "from topfarm.cost_models.cost_model_wrappers import CostModelComponent\n", "from topfarm import TopFarmGroup, TopFarmProblem\n", "from topfarm.easy_drivers import EasyRandomSearchDriver, EasyScipyOptimizeDriver\n", "from topfarm.drivers.random_search_driver import RandomizeTurbinePosition_Circle\n", "from topfarm.constraint_components.spacing import SpacingConstraint\n", "from topfarm.constraint_components.boundary import XYBoundaryConstraint\n", "from topfarm.cost_models.electrical.simple_msp import ElNetLength, ElNetCost, XYCablePlotComp\n", "from topfarm.cost_models.utils.spanning_tree import mst\n", "\n", "#classes to define the site to use\n", "from py_wake.site import UniformWeibullSite\n", "from py_wake.site.shear import PowerShear" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We create a function to set up the site wind speed conditions and the turbines' initial positions. Since the **UniformWeibullSite** will be used, which describes a site with uniform and Weibull distributed wind speed. Some key parameters must be specified: \n", "\n", "- the probability of wind direction sector, f\n", "- the Weibull shape parameter, k\n", "- the Weibull scale parameter, A\n", "\n", "In addition, the turbulence intensity and shear exponent are selected. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "def get_site():\n", " f = [0.035972, 0.039487, 0.051674, 0.070002, 0.083645, 0.064348,\n", " 0.086432, 0.117705, 0.151576, 0.147379, 0.10012, 0.05166]\n", " A = [9.176929, 9.782334, 9.531809, 9.909545, 10.04269, 9.593921,\n", " 9.584007, 10.51499, 11.39895, 11.68746, 11.63732, 10.08803]\n", " k = [2.392578, 2.447266, 2.412109, 2.591797, 2.755859, 2.595703,\n", " 2.583984, 2.548828, 2.470703, 2.607422, 2.626953, 2.326172]\n", " ti = 0.001\n", " h_ref = 100\n", " alpha = .1\n", " \n", " site = UniformWeibullSite(f, A, k, ti, shear=PowerShear(h_ref=h_ref, alpha=alpha))\n", " \n", " #setting up the initial turbine positions\n", " spacing = 2000\n", " N = 5 #number of turbines per row\n", " theta = 76 #inclination angle of turbines\n", " dx = np.tan(np.radians(theta))\n", " x = np.array([np.linspace(0,(N-1)*spacing,N)+i*spacing/dx for i in range(N)])\n", " y = np.array(np.array([N*[i*spacing] for i in range(N)]))\n", " initial_positions = np.column_stack((x.ravel(),y.ravel()))\n", " eps = 2000\n", " delta = 5\n", " site.boundary = np.array([(0-delta, 0-delta),\n", " ((N-1)*spacing+eps, 0-delta),\n", " ((N-1)*spacing*(1+1/dx)+eps*(1+np.cos(np.radians(theta))), (N-1)*spacing+eps*np.sin(np.radians(theta))-delta),\n", " ((N-1)*spacing/dx+eps*np.cos(np.radians(theta)), (N-1)*spacing+eps*np.sin(np.radians(theta)))])\n", " site.initial_position = initial_positions\n", " return site" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Specifying the additional parameters needed for the cost models\n", "\n", "We will use the IEA-37 site and the DTU 10MW reference turbine as the wind turbine object. The diameter of the rotor, rated power, hub heights and rated rpm are specified as they correspond to the inputs for the two cost models." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of turbines: 25\n" ] } ], "source": [ "from py_wake.examples.data.dtu10mw import DTU10MW\n", "\n", "site = get_site()\n", "n_wt = len(site.initial_position)\n", "windTurbines = DTU10MW()\n", "Drotor_vector = [windTurbines.diameter()] * n_wt \n", "power_rated_vector = [float(windTurbines.power(20)/1000)] * n_wt \n", "hub_height_vector = [windTurbines.hub_height()] * n_wt \n", "rated_rpm_array = 12. * np.ones([n_wt])\n", "\n", "print('Number of turbines:', n_wt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Quickly plotting the site boundary and initial position" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(site.initial_position[:,0], site.initial_position[:,1], 'o')\n", "ind = list(range(len(site.boundary))) + [0]\n", "pt = plt.plot(site.boundary[ind,0], site.boundary[ind,1], '-')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setting up the AEP calculator\n", "- Using the Gaussian wake model from [Bastankhah & Porte Agel](https://topfarm.pages.windenergy.dtu.dk/PyWake/notebooks/EngineeringWindFarmModels.html#BastankhahGaussianDeficit)\n", "- Based on 16 wind direction to speed things up (not critical here because we will be using the RandomSearch algorithm)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "from py_wake.deficit_models.gaussian import IEA37SimpleBastankhahGaussian\n", "from py_wake.aep_calculator import AEPCalculator\n", "\n", "## We use the Gaussian wake model\n", "wake_model = IEA37SimpleBastankhahGaussian(site, windTurbines)\n", "\n", "## The AEP is calculated using n_wd wind directions\n", "n_wd = 16\n", "wind_directions = np.linspace(0., 360., n_wd, endpoint=False)\n", "\n", "def aep_func(x, y, **kwargs):\n", " \"\"\"A simple function that takes as input the x,y position of the turbines and return the AEP per turbine\"\"\"\n", " return wake_model(x=x, y=y, wd=wind_directions).aep().sum('wd').sum('ws').values*10**6" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([48846666.47398125, 48076092.23666706, 47944165.03642996,\n", " 47960611.08905267, 48321458.12536133, 48724302.1125211 ,\n", " 47944055.20081887, 47677174.31239147, 47699818.49584734,\n", " 48077384.1359745 , 48730772.05703812, 47956971.4742767 ,\n", " 47746058.23357575, 47760605.9339205 , 48158379.95981343,\n", " 48615025.49183208, 47864760.06397984, 47630113.20104554,\n", " 47721845.464949 , 48135819.05773869, 48650994.84475809,\n", " 47915433.78885604, 47687319.04146974, 47752944.44899338,\n", " 48219457.74599594])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#individual AEP per turbine\n", "aep_func(site.initial_position[:,0], site.initial_position[:,1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setting up the NREL IRR cost model\n", "Based on the 2006 NREL report (https://www.nrel.gov/docs/fy07osti/40566.pdf)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "from topfarm.cost_models.economic_models.turbine_cost import economic_evaluation as EE_NREL\n", "\n", "def irr_nrel(aep, electrical_connection_cost, **kwargs):\n", " return EE_NREL(Drotor_vector, power_rated_vector, hub_height_vector, aep, electrical_connection_cost).calculate_irr()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setting up the DTU IRR cost model\n", "Based on Witold's recent work" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "from topfarm.cost_models.economic_models.dtu_wind_cm_main import economic_evaluation as EE_DTU\n", "\n", "distance_from_shore = 10.0 # [km]\n", "energy_price = 0.2 / 7.4 # [DKK/kWh] / [DKK/EUR] -> [EUR/kWh]\n", "project_duration = 20 # [years]\n", "water_depth_array = 20 * np.ones([n_wt]) # [m]\n", "Power_rated_array = np.array(power_rated_vector)/1.0E3 # [MW]\n", "\n", "ee_dtu = EE_DTU(distance_from_shore, energy_price, project_duration)\n", "\n", "#setting up the IRR cost function\n", "def irr_dtu(aep, electrical_connection_cost, **kwargs):\n", " ee_dtu.calculate_irr(\n", " rated_rpm_array, \n", " Drotor_vector, \n", " Power_rated_array,\n", " hub_height_vector, \n", " water_depth_array, \n", " aep, \n", " electrical_connection_cost)\n", " return ee_dtu.IRR" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Setting up the Topfarm problem" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "INFO: checking out_of_order\n", "INFO: checking system\n", "INFO: checking solvers\n", "INFO: checking dup_inputs\n", "INFO: checking missing_recorders\n", "INFO: checking unserializable_options\n", "INFO: checking comp_has_no_outputs\n", "INFO: checking auto_ivc_warnings\n", "INFO: checking out_of_order\n", "INFO: checking system\n", "INFO: checking solvers\n", "INFO: checking dup_inputs\n", "INFO: checking missing_recorders\n", "INFO: checking unserializable_options\n", "INFO: checking comp_has_no_outputs\n", "INFO: checking auto_ivc_warnings\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\mavar\\Anaconda3\\envs\\topfarm\\lib\\site-packages\\openmdao\\core\\group.py:1957: UnitsWarning: : Input 'cost_comp.comp_1.x' with units of 'm' is connected to output 'indeps.x' which has no units.\n", "C:\\Users\\mavar\\Anaconda3\\envs\\topfarm\\lib\\site-packages\\openmdao\\core\\group.py:1957: UnitsWarning: : Input 'cost_comp.comp_1.y' with units of 'm' is connected to output 'indeps.y' which has no units.\n" ] }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#specify minimum spacing between turbines\n", "min_spacing = 2 #@param {type:\"slider\", min:2, max:10, step:1}\n", "\n", "#specify the cable cost\n", "cable_cost_per_meter = 750. #@param {type:\"slider\", min:0, max:10000, step:1}\n", "\n", "# Electrical grid cable components (Minimum spanning tree from Topfarm report 2010)\n", "elnetlength = ElNetLength(n_wt=n_wt)\n", "elnetcost = ElNetCost(n_wt=n_wt, output_key='electrical_connection_cost', cost_per_meter=cable_cost_per_meter)\n", "\n", "# The Topfarm IRR cost model components\n", "irr_dtu_comp = CostModelComponent(input_keys=[('aep',np.zeros(n_wt)), ('electrical_connection_cost', 0.0)],\n", " n_wt=n_wt, \n", " cost_function=irr_dtu,\n", " output_keys=\"irr\",\n", " output_unit=\"%\",\n", " objective=True, \n", " maximize=True)\n", "\n", "irr_nrel_comp = CostModelComponent(input_keys=[('aep', np.zeros(n_wt)), ('electrical_connection_cost', 0.0)],\n", " n_wt=n_wt, \n", " cost_function=irr_nrel,\n", " output_keys=\"irr\",\n", " output_unit=\"%\",\n", " objective=True, \n", " maximize=True)\n", "\n", "## User-defined cost model\n", "irr_cost_models = {'DTU': irr_dtu_comp, 'NREL': irr_nrel_comp}\n", "\n", "#select which IRR cost model to use\n", "IRR_COST = 'DTU' #@param [\"DTU\", \"NREL\"]\n", "\n", "# The Topfarm AEP component, returns an array of AEP per turbine\n", "aep_comp = CostModelComponent(input_keys=['x','y'],\n", " n_wt=n_wt,\n", " cost_function=aep_func, \n", " output_keys=\"aep\",\n", " output_unit=\"GWh\",\n", " objective=False,\n", " output_vals=np.zeros(n_wt))\n", "\n", "# Plotting component\n", "plot_comp = XYCablePlotComp(memory=0, plot_improvements_only=False, plot_initial=False)\n", "\n", "# The group containing all the components\n", "group = TopFarmGroup([aep_comp, elnetlength, elnetcost, irr_cost_models[IRR_COST]])\n", "\n", "problem = TopFarmProblem(\n", " design_vars={'x':site.initial_position[:,0],\n", " 'y':site.initial_position[:,1]},\n", " cost_comp=group,\n", " n_wt = n_wt,\n", " driver=EasyRandomSearchDriver(randomize_func=RandomizeTurbinePosition_Circle(), max_iter=100),\n", " constraints=[SpacingConstraint(min_spacing * windTurbines.diameter(0)),\n", " XYBoundaryConstraint(site.boundary)],\n", " expected_cost=1.0,\n", " plot_comp=plot_comp)\n", "\n", "cost, state, recorder = problem.optimize()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Exercises\n", "\n", "- Try to see what is the effect of increasing or decreasing the cost of the cable\n", "- Change between IRR cost model. Ask Witold about the difference between DTU and NREL models" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 4 }