{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Cost Models" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[Try this yourself](https://colab.research.google.com/github/DTUWindEnergy/TopFarm2/blob/master/docs/notebooks/cost_models.ipynb) (requires google account)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "TOPFARM comes with two built-in cost models, a re-implementation of the **National Renewable Energy Laboratory (NREL) Cost and Scaling Model** provided by DTU and an original and more recent **DTU Cost Model**. Such models are currently being refined, so they are presented in this notebook in the form of toy-problems. Moreover, additional user-defined cost models can easily be integrated in the TOPFARM optimization problems as well. " ] }, { "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": [ "### Cost Model 1: DTU implementation of the NREL Cost and Scaling Model\n", "\n", "First we are going to see the National Renewable Energy Laboratory (NREL) Cost and Scaling Model in its Python implementation provided by DTU. Such model is based on the 2006 _Wind Turbine Design Cost and Scaling Model_ technical report, which can be found [here](https://www.nrel.gov/docs/fy07osti/40566.pdf).\n", "\n", "The model was developed from the early to mid-2000s as part of the Wind Partnership for Advanced Component Technology (WindPACT), which was at that time exploring innovative turbine design as well as innovations on the balance of plant and operations. Several detailed design studies on the turbine and plant design and cost were made; for publications associated with the WindPACT program, see: [WindPACT publication list](https://nrel.primo.exlibrisgroup.com/discovery/search?query=any,contains,windpact&tab=NREL_Publications&search_scope=NREL_Publications&vid=01NREL_INST:Pubs&offset=0).\n", "\n", "The NREL cost and scaling model was developed starting from the WindPACT studies through a set of curve-fits, in order to underly detailed design data including:\n", "\n", "- Turbine component masses and costs\n", "- Balance of system costs\n", "- Operational expenditures\n", "- Financing and other costs\n", "\n", "Over time, changes in turbine and plant technology have rendered the NREL cost and scaling model less used, but it is still useful as a publicly available, full Levelized Cost of Energy (LCoE) model for wind energy." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import Topfarm models to set up an LCOE workflow including the cost model**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Import numerical python\n", "import numpy as np\n", "\n", "# Import pywake models including the IEA Wind Task 37 case study site, the Gaussian wake model and the AEP calculator\n", "from py_wake.examples.data.iea37._iea37 import IEA37_WindTurbines, IEA37Site\n", "from py_wake.deficit_models.gaussian import IEA37SimpleBastankhahGaussian\n", "\n", "# Import Topfarm implementation of NREL Cost and Scaling model\n", "from topfarm.cost_models.economic_models.turbine_cost import economic_evaluation as ee_1\n", "\n", "# Import Topfarm constraints for site boundary and spacing\n", "from topfarm.drivers.random_search_driver import RandomizeTurbinePosition_Circle\n", "from topfarm.constraint_components.boundary import CircleBoundaryConstraint\n", "from topfarm.constraint_components.spacing import SpacingConstraint\n", "\n", "# Import Topfarm support classes for setting up problem and workflow\n", "from topfarm.cost_models.cost_model_wrappers import CostModelComponent, AEPCostModelComponent\n", "from topfarm.cost_models.py_wake_wrapper import PyWakeAEPCostModelComponent\n", "from topfarm import TopFarmGroup, TopFarmProblem\n", "from topfarm.plotting import XYPlotComp, NoPlot\n", "\n", "# Import Topfarm implementation of Random Search or Scipy drivers \n", "from topfarm.easy_drivers import EasyRandomSearchDriver\n", "from topfarm.easy_drivers import EasyScipyOptimizeDriver\n", "from topfarm.easy_drivers import EasySimpleGADriver" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set up plotting capability**" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "try:\n", " import matplotlib.pyplot as plt\n", " plt.gcf()\n", " plot_comp = XYPlotComp()\n", " plot = True\n", "except RuntimeError:\n", " plot_comp = NoPlot()\n", " plot = False" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set up IEA Wind Task 37 case study site with 16 turbines.**" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# site set up\n", "n_wt = 16 # number of wind turbines\n", "site = IEA37Site(n_wt) # site is the IEA Wind Task 37 site with a circle boundary\n", "windTurbines = IEA37_WindTurbines() # wind turbines are the IEA Wind Task 37 3.4 MW reference turbine\n", "wake_model = IEA37SimpleBastankhahGaussian(site, windTurbines) # select the Gaussian wake model\n", "\n", "# vectors for turbine properties: diameter, rated power and hub height. these are inputs to the cost model\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 " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set up functions for the AEP and cost calculations. Here we are using the internal rate of return (IRR) as our financial metric of interest.**" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# function for calculating aep as a function of x,y positions of the wind turbiens\n", "def aep_func(x, y, **kwargs):\n", " return wake_model(x, y).aep().sum(['wd','ws']).values*10**6\n", "\n", "# function for calculating overall internal rate of return (IRR)\n", "def irr_func(aep, **kwargs):\n", " my_irr = ee_1(Drotor_vector, power_rated_vector, hub_height_vector, aep).calculate_irr()\n", " #print(my_irr)\n", " return my_irr" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Now set up a problem to run an optimization using IRR as the objective function.**\n", "\n", "Note that the turbines are fixed so the main driver changing the IRR will be the AEP as the turbine positions change. Here you can select different drivers to see how the optimization result changes." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "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" ] }, { "data": { "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create an openmdao component for aep and irr to add to the problem\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", "irr_comp = CostModelComponent(input_keys=['aep'],\n", " n_wt=n_wt,\n", " cost_function=irr_func,\n", " output_keys=\"irr\",\n", " output_unit=\"%\",\n", " objective=True,\n", " maximize=True)\n", "\n", "# create a group for the aep and irr components that links their common input/output (aep) \n", "irr_group = TopFarmGroup([aep_comp, irr_comp])\n", "\n", "# add the group to an optimization problem and specify the design variables (turbine positions), \n", "# cost function (irr_group), and constraints (circular boundary and spacing)\n", "problem = TopFarmProblem(\n", " design_vars=dict(zip('xy', site.initial_position.T)),\n", " n_wt = n_wt,\n", " cost_comp=irr_group,\n", " \n", " #specify driver to use: random search (gradient-free), COBYLA (gradient-free), genetic algorithm, GA (gradient-free)\n", " driver = EasyRandomSearchDriver(randomize_func=RandomizeTurbinePosition_Circle(), max_iter=50),\n", " #driver=EasyScipyOptimizeDriver(optimizer='COBYLA', maxiter=200, tol=1e-6, disp=False),\n", " #driver=EasySimpleGADriver(max_gen=100, pop_size=5, Pm=None, Pc=.5, elitism=True, bits={}),\n", " \n", " constraints=[SpacingConstraint(200),\n", " CircleBoundaryConstraint([0, 0], 1300.1)],\n", " plot_comp=plot_comp)\n", "\n", "# assign data from optimizationn to a set of accessible variables and run the optimization\n", "cost, state, recorder = problem.optimize()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "From the results it can be seen that the IRR has been increased by 1.76% from the baseline and it took 154 iterations while using the random search driver." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Exercise\n", "\n", "Play with the driver in the topfarm problem above to see if an improved objective function can be obtained." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Cost Model 2: DTU Cost Model\n", "\n", "The new DTU Cost Model is based on recent industrial data. Its structure is similar to the NREL cost and scaling model and it contains the major elements to calculate the LCoE, the IRR etcetera. As the DTU implementation of the NREL model, also the original DTU model is being refined; one innovative key element which will be introduced soon is the use of a detailed financial cash flow analysis.\n", "\n", "More information about the background of the DTU Cost model can be found [here](https://topfarm.pages.windenergy.dtu.dk/TopFarm2/user_guide.html#dtu-cost-model), while the source code documentation can be found [here](https://topfarm.pages.windenergy.dtu.dk/TopFarm2/api_reference/dtucost.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import the new DTU Cost model**" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#import the DTU cost model\n", "from topfarm.cost_models.economic_models.dtu_wind_cm_main import economic_evaluation as ee_2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set up the site and inputs as before but with additional cost variables.**" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# site set up\n", "n_wt = 16 # number of wind turbines\n", "site = IEA37Site(n_wt) # site is the IEA Wind Task 37 site with a circle boundary\n", "windTurbines = IEA37_WindTurbines() # wind turbines are the IEA Wind Task 37 3.4 MW reference turbine\n", "wake_model = IEA37SimpleBastankhahGaussian(site, windTurbines) # select the Gaussian wake model\n", "AEPComp = PyWakeAEPCostModelComponent(wake_model, n_wt) # set up AEP caculator to use Gaussiann model\n", "\n", "# vectors for turbine properties: diameter, rated power and hub height. these are inputs to the cost model\n", "Drotor_vector = [windTurbines.diameter()] * n_wt \n", "power_rated_vector = [float(windTurbines.power(20))*1e-6] * n_wt \n", "hub_height_vector = [windTurbines.hub_height()] * n_wt \n", "\n", "# add additional cost model inputs for shore distance, energy price, project lifetime, rated rotor speed and water depth\n", "distance_from_shore = 30 # [km]\n", "energy_price = 0.1 # [Euro/kWh] What we get per kWh\n", "project_duration = 20 # [years] \n", "rated_rpm_array = [12] * n_wt # [rpm]\n", "water_depth_array = [15] * n_wt # [m]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set up the cost function to use the new DTU cost model.**" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# set up function for new cost model with initial inputs as set above\n", "eco_eval = ee_2(distance_from_shore, energy_price, project_duration)\n", "\n", "# function for calculating aep as a function of x,y positions of the wind turbiens\n", "def aep_func(x, y, **kwargs):\n", " return wake_model(x, y).aep().sum(['wd','ws']).values*10**6\n", "\n", "# function for calculating overall internal rate of return (IRR)\n", "def irr_func(aep, **kwargs):\n", " eco_eval.calculate_irr(rated_rpm_array, Drotor_vector, power_rated_vector, hub_height_vector, water_depth_array, aep)\n", " #print(eco_eval.IRR)\n", " return eco_eval.IRR" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set up rest of problem just as in prior example and run optimization with new model.**" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "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" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create an openmdao component for aep and irr to add to the problem\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=\"kWh\",\n", " objective=False,\n", " output_vals=np.zeros(n_wt))\n", "\n", "irr_comp = CostModelComponent(input_keys=['aep'],\n", " n_wt=n_wt,\n", " cost_function=irr_func,\n", " output_keys=\"irr\",\n", " output_unit=\"%\",\n", " objective=True,\n", " maximize=True)\n", "\n", "# create a group for the aep and irr components that links their common input/output (aep) \n", "irr_group = TopFarmGroup([aep_comp, irr_comp])\n", "\n", "# add the group to an optimization problem and specify the design variables (turbine positions), \n", "# cost function (irr_group), driver (random search), and constraints (circular boundary and spacing)\n", "problem = TopFarmProblem(\n", " design_vars=dict(zip('xy', site.initial_position.T)),\n", " n_wt = n_wt,\n", " cost_comp=irr_group,\n", " driver=EasyRandomSearchDriver(randomize_func=RandomizeTurbinePosition_Circle(), max_iter=50),\n", " constraints=[SpacingConstraint(200),\n", " CircleBoundaryConstraint([0, 0], 1300.1)],\n", " plot_comp=plot_comp)\n", " \n", "# assign data from optimizationn to a set of accessible variables and run the optimization\n", "cost, state, recorder = problem.optimize()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example, the IRR percentage increase is similar to what observed in the NREL case. However, the final value is quite different (lower) and more iterations are necessary for the optimization to converge." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Exercise\n", "\n", "Manipulate the additional DTU cost model inputs to see how this influences the optimal IRR found." ] } ], "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" }, "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 }