From 53cc77fc98055944ff4d8d4837e5d42b5da36f62 Mon Sep 17 00:00:00 2001 From: Rafael M Mudafort Date: Mon, 27 May 2024 16:34:20 +0200 Subject: [PATCH 01/11] Change docs logo --- docs/_config.yml | 2 +- docs/gch.gif | Bin 3539280 -> 0 bytes docs/logo.png | Bin 0 -> 234442 bytes 3 files changed, 1 insertion(+), 1 deletion(-) delete mode 100644 docs/gch.gif create mode 100644 docs/logo.png diff --git a/docs/_config.yml b/docs/_config.yml index 70c886992..a3de72274 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -3,7 +3,7 @@ title: FLORIS author: National Renewable Energy Laboratory -logo: gch.gif +logo: logo.png copyright: '2023' only_build_toc_files: false diff --git a/docs/gch.gif b/docs/gch.gif deleted file mode 100644 index ecb44cc48d6aeb91c36d46178054538763dedbbe..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 3539280 zcmeF1g;E?`)2#=0g1aTS6C8qt;O;KLU4sQ32<`-TcPGH$4DRmk?lw5{zu#q?s%9uef%)8`NTrS2P>FlsFr 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z=C%-~pUv`H$580(qmJJ>BR5N`q620pRIP0GwU<1qIKoffMLy(AE3Uc_ZrARx+w|I( z3;Eq#mMXu$dl7qE82caV{LeIWsJywo_Me-{Q55n?t1(o9&k6i`uvPytX2LWTlTL_Y`MtAC4I_ti}b_+lPrVzCl?E2y`tPs z`PFZb|3om&?*fazY~6oZMjHb|)Q6iLo=W7u;-ArBC#V&bkCL&ce@%`m>@-6Z^X)!~ z2miP4@%Qh$KyJhS^_k>z6cm;>@8zfc_ZO2{TWUoNd3*e?hx-4M`Jc!BzgP4BX=NHX ZC(b_%-PZp$eFXd{$*J5gxN98ve*o0@YbXE! literal 0 HcmV?d00001 From 236e60b15fd3d385334d983331f44eeeb57db11b Mon Sep 17 00:00:00 2001 From: paulf81 Date: Tue, 25 Jun 2024 16:51:26 -0600 Subject: [PATCH 02/11] [BUGFIX] Fix wind rose plots (#930) --- floris/wind_data.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/floris/wind_data.py b/floris/wind_data.py index 5745eca54..a98cd9b9c 100644 --- a/floris/wind_data.py +++ b/floris/wind_data.py @@ -610,7 +610,11 @@ def plot( # Get the wd_step if wd_step is None: - wd_step = wd_bins[1] - wd_bins[0] + if len(wd_bins) >= 2: + wd_step = wd_bins[1] - wd_bins[0] + else: + # This admittedly an odd edge case + wd_step = 360.0 # Get a color array color_array = plt.get_cmap(color_map, len(ws_bins)) @@ -619,7 +623,7 @@ def plot( rects = [] freq_table_sub = freq_table[wd_idx, :].flatten() for ws_idx, ws in reversed(list(enumerate(ws_bins))): - plot_val = freq_table_sub[:ws_idx].sum() + plot_val = freq_table_sub[:ws_idx + 1].sum() rects.append( ax.bar( np.radians(wd), @@ -1453,7 +1457,7 @@ def plot( color_map="viridis_r", wd_step=15.0, wind_rose_var_step=None, - legend_kwargs={}, + legend_kwargs={"title": "Wind speed [m/s]"}, ): """ This method creates a wind rose plot showing the frequency of occurrence @@ -1480,7 +1484,7 @@ def plot( will be used if wind_rose_var = "ws", and a value of 4% will be used if wind_rose_var = "ti". legend_kwargs (dict, optional): Keyword arguments to be passed to - ax.legend(). + ax.legend(). Defaults to {"title": "Wind speed [m/s]"}. Returns: :py:class:`matplotlib.pyplot.axes`: A figure axes object containing @@ -1519,7 +1523,7 @@ def plot( rects = [] freq_table_sub = freq_table[wd_idx, :].flatten() for var_idx, ws in reversed(list(enumerate(var_bins))): - plot_val = freq_table_sub[:var_idx].sum() + plot_val = freq_table_sub[:var_idx + 1].sum() rects.append( ax.bar( np.radians(wd), From ac185d797069434b517b4f6040b7328191ba1d60 Mon Sep 17 00:00:00 2001 From: Rafael M Mudafort Date: Wed, 26 Jun 2024 11:31:42 -0500 Subject: [PATCH 03/11] Rename image file --- docs/_config.yml | 2 +- docs/{logo.png => docs_image.png} | Bin 2 files changed, 1 insertion(+), 1 deletion(-) rename docs/{logo.png => docs_image.png} (100%) diff --git a/docs/_config.yml b/docs/_config.yml index a3de72274..e3c7524c1 100644 --- a/docs/_config.yml +++ b/docs/_config.yml @@ -3,7 +3,7 @@ title: FLORIS author: National Renewable Energy Laboratory -logo: logo.png +logo: docs_image.png copyright: '2023' only_build_toc_files: false diff --git a/docs/logo.png b/docs/docs_image.png similarity index 100% rename from docs/logo.png rename to docs/docs_image.png From 494ea451298abd25532bdbf6ae38160b3cf1e7b5 Mon Sep 17 00:00:00 2001 From: misi9170 <39596329+misi9170@users.noreply.github.com> Date: Wed, 26 Jun 2024 15:14:05 -0400 Subject: [PATCH 04/11] Add link to GRS layout optimization paper (#932) * Align title style with other docs pages * Add citation to published Torque paper. * Add DOI for paper. * Line ending that ruff didnt catch locally --- docs/heterogeneous_map.ipynb | 4 +++- docs/layout_optimization.md | 6 +++--- docs/references.bib | 14 ++++++++++++++ .../layout_optimization_random_search.py | 3 ++- 4 files changed, 22 insertions(+), 5 deletions(-) diff --git a/docs/heterogeneous_map.ipynb b/docs/heterogeneous_map.ipynb index 6ef96e725..ab98409f7 100644 --- a/docs/heterogeneous_map.ipynb +++ b/docs/heterogeneous_map.ipynb @@ -4,7 +4,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# HeterogeneousMap" + "(heterogeneous_map)=\n", + "\n", + "# Heterogeneous Map" ] }, { diff --git a/docs/layout_optimization.md b/docs/layout_optimization.md index 361856579..aa835fdee 100644 --- a/docs/layout_optimization.md +++ b/docs/layout_optimization.md @@ -1,6 +1,6 @@ (layout_optimization)= -# Layout optimization +# Layout Optimization The FLORIS package provides layout optimization tools to place turbines within a specified boundary area to optimize annual energy production (AEP) or wind plant value. Layout @@ -59,8 +59,8 @@ turbine placement - Set up to run cheap constraint checks prior to more expensive objective function evaluations to accelerate optimization -The algorithm, described in full in an upcoming paper that will be linked here when it is -publicly available, moves a random turbine and random distance in a random direction; checks +The algorithm, described in full in {cite:t}`SinnerFleming2024grs`, +moves a random turbine and random distance in a random direction; checks that constraints are satisfied; evaluates the objective function (AEP or value); and then commits to the move if there is an objective function improvement. The main tuning parameter is the probability mass function for the random movement distance, which is a dictionary to be diff --git a/docs/references.bib b/docs/references.bib index e5b7f41d9..a6316d82d 100644 --- a/docs/references.bib +++ b/docs/references.bib @@ -272,3 +272,17 @@ @Article{bay_2022 URL = {https://wes.copernicus.org/preprints/wes-2022-17/}, DOI = {10.5194/wes-2022-17} } + +@article{SinnerFleming2024grs, +doi = {10.1088/1742-6596/2767/3/032036}, +url = {https://dx.doi.org/10.1088/1742-6596/2767/3/032036}, +year = {2024}, +month = {jun}, +publisher = {IOP Publishing}, +volume = {2767}, +number = {3}, +pages = {032036}, +author = {Michael Sinner and Paul Fleming}, +title = {Robust wind farm layout optimization}, +journal = {Journal of Physics: Conference Series}, +} diff --git a/floris/optimization/layout_optimization/layout_optimization_random_search.py b/floris/optimization/layout_optimization/layout_optimization_random_search.py index 92e5d7f94..5358d2338 100644 --- a/floris/optimization/layout_optimization/layout_optimization_random_search.py +++ b/floris/optimization/layout_optimization/layout_optimization_random_search.py @@ -140,7 +140,8 @@ def __init__( use_value=False, ): """ - _summary_ + Optimize layout using genetic random search algorithm. Details of the algorithm can be found + in Sinner and Fleming, 2024: https://dx.doi.org/10.1088/1742-6596/2767/3/032036 Args: fmodel (_type_): _description_ From e1a25d76112b15906ebcbf4c0a0036885b43a60e Mon Sep 17 00:00:00 2001 From: paulf81 Date: Wed, 26 Jun 2024 15:58:22 -0600 Subject: [PATCH 05/11] Update names of `WindRose` resampling methods (#933) --- docs/wind_data_user.ipynb | 76 ++++++++++++++--------------- examples/003_wind_data_objects.py | 8 +-- floris/wind_data.py | 44 ++++++++++++++--- tests/wind_data_integration_test.py | 56 +++++++++++++-------- 4 files changed, 114 insertions(+), 70 deletions(-) diff --git a/docs/wind_data_user.ipynb b/docs/wind_data_user.ipynb index 745c30470..d16e896bf 100644 --- a/docs/wind_data_user.ipynb +++ b/docs/wind_data_user.ipynb @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -61,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -94,7 +94,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -120,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -144,7 +144,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -153,13 +153,13 @@ "Text(0, 0.5, 'Turbulence Intensity')" ] }, - "execution_count": 26, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -194,7 +194,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -203,13 +203,13 @@ "Text(0, 0.5, 'Value (normalized price/MWh)')" ] }, - "execution_count": 27, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -251,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -261,7 +261,7 @@ " [0.16666667, 0.16666667, 0.16666667]])" ] }, - "execution_count": 28, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -284,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -331,7 +331,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -378,7 +378,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -396,7 +396,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -405,13 +405,13 @@ "" ] }, - "execution_count": 32, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -439,7 +439,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -448,13 +448,13 @@ "" ] }, - "execution_count": 33, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
    " ] @@ -464,15 +464,15 @@ } ], "source": [ - "# The aggregate functions of WindRose/WindTiRose allows for \n", + "# The downsample functions of WindRose/WindTiRose allows for \n", "# aggregating the data into larger bin sizes \n", - "wind_rose_aggregated = wind_rose.aggregate(wd_step=10, ws_step=2)\n", + "wind_rose_aggregated = wind_rose.downsample(wd_step=10, ws_step=2)\n", "wind_rose_aggregated.plot()" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -481,13 +481,13 @@ "" ] }, - "execution_count": 34, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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    " ] @@ -497,9 +497,9 @@ } ], "source": [ - "# For upsampling, the resample_by_interpolation method is available which can\n", + "# For upsampling, the upsample method is available which can\n", "# interpolate the data via linear or nearest-neighbor interpolation\n", - "wind_rose_resampled = wind_rose.resample_by_interpolation(wd_step=2.5, ws_step=0.5)\n", + "wind_rose_resampled = wind_rose.upsample(wd_step=2.5, ws_step=0.5)\n", "wind_rose_resampled.plot()" ] }, @@ -519,12 +519,12 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", 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", 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", + "image/png": 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", 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", + "image/png": 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G6vLLL9eqVau8VRcAAIDPNTsI1dTU+KIOAAAA23ntHiG7rFmzRj169FDbtm01YsQI7dy5s8HtX375ZcXHx6tt27YaOHCg3nzzTZsqBQDvCwoK0uTJkxUUFOTvUoAWoUlnhFJTU5s84cMPP3zaxTTmxRdfVGpqqtauXasRI0Zo9erVSk5OVkFBgTp37lxr++3bt2vq1KlKS0vTVVddpfXr12vy5Mnas2ePBgwY4LM6AcAXHA5HrWXLsvxUDdAyNCkI/fOf/2zSZD/9I/W2hx9+WLNmzdKMGTMkSWvXrtUbb7yhdevW6a677qq1/R/+8AdNmDBBd9xxhyRp5cqVysrK0h//+EetXbvWp7UCgDfV9+8rYQg4M00KQjk5Ob6uo1HV1dXavXu3Fi1a5B5r1aqVxo0bp7y8vDr3ycvLq3U2Kzk5WRkZGfW+TlVVlaqqqtzLZWVlkn74BG2Xy3UG78DTqbm8OSfqRq/tQZ/9h557H8ezPXzZ56bOeVpfuuoP33zzjU6ePKmoqCiP8aioKO3fv7/OfUpKSurcvqSkpN7XSUtL0/Lly2uNZ2ZmKiQk5DQqb1hWVpbX50Td6LU96LP9uPfRdzie7eGLPldWVjZpu9MKQrt27dJLL72koqIiVVdXe6x79dVXT2fKs8aiRYs8ziKVlZUpLi5OSUlJCgsL89rruFwuZWVlafz48XI6nV6bF7XRa3vQZ9+qrq6u8wbpn/4bDO/geLaHL/t86opOY5odhF544QVNnz5dycnJyszMVFJSkj7++GOVlpZqypQpzS60qSIiItS6dWuVlpZ6jJeWlio6OrrOfaKjo5u1vSQFBwcrODi41rjT6fTJH4Ov5kVt9Noe9Nl3LMvyuFeIe4N8j+PZHr7oc1Pna/bj87/73e/0yCOP6PXXX1dQUJD+8Ic/aP/+/bruuuvUrVu3ZhfaVEFBQRo6dKiys7PdYzU1NcrOzlZCQkKd+yQkJHhsL/1w+q2+7QHgbFddXa2MjAzOBAFe0uwgVFhYqCuvvFLSD+GkoqJCDodD8+fP15///GevF/hjqampevLJJ/XMM89o3759uu2221RRUeF+imz69OkeN1PPnTtXmzdv1qpVq7R//34tW7ZMu3bt0pw5c3xaJwAACAzNvjR2zjnn6NixY5KkLl26aO/evRo4cKCOHDnS5BuTTtf111+vr7/+WkuWLFFJSYkuvPBCbd682X1DdFFRkVq1+v9sN3LkSK1fv16LFy/W3Xffrb59+yojI4PPEAIAAJKaEYT27t2rAQMGaNSoUcrKytLAgQN17bXXau7cudqyZYuysrI0duxYX9YqSZozZ069Z3Ryc3NrjV177bW69tprfVwVAAAIRE0OQoMGDdLPfvYzTZ482R0sfvvb38rpdGr79u265pprtHjxYp8VCgAA4G1NDkJbt27V008/rbS0NN1333265pprdPPNN9f5ic4AAACBoMk3S1922WVat26diouL9dhjj+nzzz/X6NGjdd555+n+++9v8EMKAQAAzkbNfmqsffv2mjFjhrZu3aqPP/5Y1157rdasWaNu3brp5z//uS9qBAAA8IlmB6Ef69Onj+6++24tXrxYoaGheuONN7xVFwAAgM+d9neNbdu2TevWrdPf/vY3tWrVStddd51mzpzpzdoAAAB8qllB6ODBg0pPT1d6eroOHDigkSNH6tFHH9V1112n9u3b+6pGAAAAn2hyEJo4caLeeustRUREaPr06frVr36lfv36+bI2AAAAn2pyEHI6nXrllVd01VVXqXXr1r6sCQAAwBZNDkKbNm3yZR0AAAC2O6OnxgAAAAIZQQgAABiLIAQAAIxFEAIAAMYiCAEAAGMRhAAAgLEIQgAAwFgEIQAAYCyCEAAAMBZBCAAAGIsgBAAAjEUQAgAAxiIIAQAAYxGEAACAsQhCAADAWAQhAABgLIIQAAAwFkEIAAAYiyAEAACMRRACAADGIggBAABjEYQAAICxCEIAAMBYBCEAAGAsghAAADAWQQgAABiLIAQAAIxFEAIAAMYiCAEAAGMRhAAAgLEIQgAAwFgEIQAAYCyCEAAAMBZBCAAAGIsgBAAAjEUQAgAAxiIIAQAAYxGEAACAsQhCAADAWAQhAABgrIAJQt99951uvPFGhYWFKTw8XDNnzlR5eXmD+yQmJsrhcHj83HrrrTZVDAAAznZt/F1AU914440qLi5WVlaWXC6XZsyYoVtuuUXr169vcL9Zs2ZpxYoV7uWQkBBflwoAAAJEQAShffv2afPmzXr//fc1bNgwSdJjjz2mK664Qg899JBiY2Pr3TckJETR0dF2lQoAAAJIQAShvLw8hYeHu0OQJI0bN06tWrXSjh07NGXKlHr3ff755/XXv/5V0dHRmjRpku65554GzwpVVVWpqqrKvVxWViZJcrlccrlcXng3cs/34/+F79Bre9Bne9Bne9Bne/iyz02dMyCCUElJiTp37uwx1qZNG3Xq1EklJSX17jdt2jR1795dsbGx+vDDD3XnnXeqoKBAr776ar37pKWlafny5bXGMzMzfXJZLSsry+tzom702h702R702R702R6+6HNlZWWTtvNrELrrrrt0//33N7jNvn37Tnv+W265xf37wIEDFRMTo7Fjx6qwsFC9e/euc59FixYpNTXVvVxWVqa4uDglJSUpLCzstGv5KZfLpaysLI0fP15Op9Nr86I2em0P+mwP+mwP+mwPX/b51BWdxvg1CC1YsEA33XRTg9v06tVL0dHROnTokMf4999/r++++65Z9/+MGDFCknTgwIF6g1BwcLCCg4NrjTudTp/8MfhqXtRGr+1Bn+1Bn+1Bn+3hiz43dT6/BqHIyEhFRkY2ul1CQoKOHDmi3bt3a+jQoZKkLVu2qKamxh1umiI/P1+SFBMTc1r1AgCAliUgPkfo/PPP14QJEzRr1izt3LlT7777rubMmaMbbrjB/cTYV199pfj4eO3cuVOSVFhYqJUrV2r37t36/PPPtWnTJk2fPl2jRo3SoEGD/Pl2AADAWSIggpD0w9Nf8fHxGjt2rK644gpdeuml+vOf/+xe73K5VFBQ4L45KigoSG+99ZaSkpIUHx+vBQsW6JprrtHrr7/ur7cAAADOMgHx1JgkderUqcEPT+zRo4csy3Ivx8XFaevWrXaUBgAAAlTAnBECAADwNoIQAAAwFkEIAAAYiyAEAACMRRACAADGIggBAABjEYQAAICxCEIAAMBYBCEAAGAsghAAADBWwHzFBgAAdgkKCnL//uOvb0LLwxkhAAB+xOFwNLiMloUgBADA/6kv9BCGWi6CEAAAMBZBCAAAGIsgBADA/6nvxmhumG65CEIAAPzIT0MPIahlIwgBAPAT1dXVysjIUHV1tb9LgY8RhAAAgLEIQgAAwFgEIQAAYCyCEAAAMBZBCAAAGIsgBAAAjEUQAgAAxiIIAQAAYxGEAACAsQhCAADAWAQhAABgLIIQAAAwFkEIAAAYiyAEAACMRRACAADGIggBAABjEYQAAICxCEIAAMBYBCEAAGAsghAAADAWQQgAABiLIAQAAIxFEAIAAMYiCAEAAGMRhAAAgLEIQgAAwFgEIQAAYCyCEAAAMBZBCAAAGIsgBAAAjEUQAgAAxiIIAQAAYwVMELrvvvs0cuRIhYSEKDw8vEn7WJalJUuWKCYmRu3atdO4ceP0ySef+LZQAAAQMAImCFVXV+vaa6/Vbbfd1uR9HnjgAT366KNau3atduzYofbt2ys5OVknTpzwYaUAACBQtPF3AU21fPlySVJ6enqTtrcsS6tXr9bixYt19dVXS5KeffZZRUVFKSMjQzfccEOd+1VVVamqqsq9XFZWJklyuVxyuVxn8A48nZrLm3OibvTaHvTZHvTZHvTZHr7sc1PnDJgg1FyfffaZSkpKNG7cOPdYx44dNWLECOXl5dUbhNLS0tyh68cyMzMVEhLi9TqzsrK8PifqRq/tQZ/tQZ/tQZ/t4Ys+V1ZWNmm7FhuESkpKJElRUVEe41FRUe51dVm0aJFSU1Pdy2VlZYqLi1NSUpLCwsK8Vp/L5VJWVpbGjx8vp9PptXlRG722B322B322B322hy/7fOqKTmP8GoTuuusu3X///Q1us2/fPsXHx9tUkRQcHKzg4OBa406n0yd/DL6aF7XRa3vQZ3vQZ3vQZ3v4os9Nnc+vQWjBggW66aabGtymV69epzV3dHS0JKm0tFQxMTHu8dLSUl144YWnNScAAGhZ/BqEIiMjFRkZ6ZO5e/bsqejoaGVnZ7uDT1lZmXbs2NGsJ88AAEDLFTCPzxcVFSk/P19FRUU6efKk8vPzlZ+fr/Lycvc28fHx2rhxoyTJ4XBo3rx5uvfee7Vp0yb961//0vTp0xUbG6vJkyf76V0AAICzScDcLL1kyRI988wz7uUhQ4ZIknJycpSYmChJKigo0NGjR93bLFy4UBUVFbrlllt05MgRXXrppdq8ebPatm1ra+0AAODsFDBBKD09vdHPELIsy2PZ4XBoxYoVWrFihQ8rAwAAgSpgLo0BAAB4G0EIAAAYiyAEAACMRRACAADGIggBAABjEYQAAICxCEIAAMBYBCEAAGAsghAAADAWQQgAABiLIAQAAIxFEAIAAMYiCAEAAGMRhAAAgLEIQgAAwFgEIQAAYCyCEAAAMBZBCAAAGIsgBAAAjEUQAgAAxiIIAQAAYxGEAACAsQhCAADAWAQhAABgLIIQAAAwFkEIAAAYiyAEAACMRRACAADGIggBAABjEYQAAICxCEIAAMBYbfxdAAAAMFNQUJD7d8uy/FIDZ4QAAIDtHA5Hg8t2IQgBAABb1Rd6/BGGCEIAAMBYBCEAAGAsghAAALBVfTdG++OGaYIQAACw3U9DD0+NAQAAo1RXVysjI0PV1dV+q4EgBAAAjEUQAgAAxiIIAQAAYxGEAACAsQhCAADAWAQhAABgLIIQAAAwFkEIAAAYiyAEAACMRRACAADGIggBAABjtfF3AWe7U18CV1ZW5tV5XS6XKisrVVZWJqfT6dW54Yle24M+24M+24M+28OXfT713+3GvsyVINSIY8eOSZLi4uL8XAkAAGiuY8eOqWPHjvWud1j++t77AFFTU6ODBw8qNDRUDofDa/OWlZUpLi5OX375pcLCwrw2L2qj1/agz/agz/agz/bwZZ8ty9KxY8cUGxurVq3qvxOIM0KNaNWqlbp27eqz+cPCwvgjswm9tgd9tgd9tgd9toev+tzQmaBTuFkaAAAYiyAEAACMRRDyk+DgYC1dulTBwcH+LqXFo9f2oM/2oM/2oM/2OBv6zM3SAADAWJwRAgAAxiIIAQAAYxGEAACAsQhCAADAWAQhP1mzZo169Oihtm3basSIEdq5c6e/S2pRli1bJofD4fETHx/v77JahG3btmnSpEmKjY2Vw+FQRkaGx3rLsrRkyRLFxMSoXbt2GjdunD755BP/FBvAGuvzTTfdVOsYnzBhgn+KDVBpaWn62c9+ptDQUHXu3FmTJ09WQUGBxzYnTpzQ7Nmzde6556pDhw665pprVFpa6qeKA1dTep2YmFjrmL711lt9XhtByA9efPFFpaamaunSpdqzZ48GDx6s5ORkHTp0yN+ltSj9+/dXcXGx++edd97xd0ktQkVFhQYPHqw1a9bUuf6BBx7Qo48+qrVr12rHjh1q3769kpOTdeLECZsrDWyN9VmSJkyY4HGMb9iwwcYKA9/WrVs1e/Zsvffee8rKypLL5VJSUpIqKirc28yfP1+vv/66Xn75ZW3dulUHDx7UL37xCz9WHZia0mtJmjVrlscx/cADD/i+OAu2Gz58uDV79mz38smTJ63Y2FgrLS3Nj1W1LEuXLrUGDx7s7zJaPEnWxo0b3cs1NTVWdHS09eCDD7rHjhw5YgUHB1sbNmzwQ4Utw0/7bFmWlZKSYl199dV+qaelOnTokCXJ2rp1q2VZPxy7TqfTevnll93b7Nu3z5Jk5eXl+avMFuGnvbYsyxo9erQ1d+5c22vhjJDNqqurtXv3bo0bN8491qpVK40bN055eXl+rKzl+eSTTxQbG6tevXrpxhtvVFFRkb9LavE+++wzlZSUeBzfHTt21IgRIzi+fSA3N1edO3dWv379dNttt+nbb7/1d0kB7ejRo5KkTp06SZJ2794tl8vlcTzHx8erW7duHM9n6Ke9PuX5559XRESEBgwYoEWLFqmystLntfClqzb75ptvdPLkSUVFRXmMR0VFaf/+/X6qquUZMWKE0tPT1a9fPxUXF2v58uW67LLLtHfvXoWGhvq7vBarpKREkuo8vk+tg3dMmDBBv/jFL9SzZ08VFhbq7rvv1sSJE5WXl6fWrVv7u7yAU1NTo3nz5umSSy7RgAEDJP1wPAcFBSk8PNxjW47nM1NXryVp2rRp6t69u2JjY/Xhhx/qzjvvVEFBgV599VWf1kMQQos0ceJE9++DBg3SiBEj1L17d7300kuaOXOmHysDvOOGG25w/z5w4EANGjRIvXv3Vm5ursaOHevHygLT7NmztXfvXu4ltEF9vb7lllvcvw8cOFAxMTEaO3asCgsL1bt3b5/Vw6Uxm0VERKh169a1njooLS1VdHS0n6pq+cLDw3XeeefpwIED/i6lRTt1DHN8269Xr16KiIjgGD8Nc+bM0d///nfl5OSoa9eu7vHo6GhVV1fryJEjHttzPJ+++npdlxEjRkiSz49pgpDNgoKCNHToUGVnZ7vHampqlJ2drYSEBD9W1rKVl5ersLBQMTEx/i6lRevZs6eio6M9ju+ysjLt2LGD49vH/v3vf+vbb7/lGG8Gy7I0Z84cbdy4UVu2bFHPnj091g8dOlROp9PjeC4oKFBRURHHczM11uu65OfnS5LPj2kujflBamqqUlJSNGzYMA0fPlyrV69WRUWFZsyY4e/SWozbb79dkyZNUvfu3XXw4EEtXbpUrVu31tSpU/1dWsArLy/3+H9on332mfLz89WpUyd169ZN8+bN07333qu+ffuqZ8+euueeexQbG6vJkyf7r+gA1FCfO3XqpOXLl+uaa65RdHS0CgsLtXDhQvXp00fJycl+rDqwzJ49W+vXr9drr72m0NBQ930/HTt2VLt27dSxY0fNnDlTqamp6tSpk8LCwvTf//3fSkhI0MUXX+zn6gNLY70uLCzU+vXrdcUVV+jcc8/Vhx9+qPnz52vUqFEaNGiQb4uz/Tk1WJZlWY899pjVrVs3KygoyBo+fLj13nvv+bukFuX666+3YmJirKCgIKtLly7W9ddfbx04cMDfZbUIOTk5lqRaPykpKZZl/fAI/T333GNFRUVZwcHB1tixY62CggL/Fh2AGupzZWWllZSUZEVGRlpOp9Pq3r27NWvWLKukpMTfZQeUuvoryXr66afd2xw/ftz69a9/bZ1zzjlWSEiINWXKFKu4uNh/RQeoxnpdVFRkjRo1yurUqZMVHBxs9enTx7rjjjuso0eP+rw2x/8VCAAAYBzuEQIAAMYiCAEAAGMRhAAAgLEIQgAAwFgEIQAAYCyCEAAAMBZBCAAAGIsgBAAAjEUQAnBGcnNz5XA4an0xZXPddNNNAf01HImJiZo3b16j240aNUrr16/3fUE/csMNN2jVqlW2viYQKAhCACRJa9euVWhoqL7//nv3WHl5uZxOpxITEz22PRV+CgsLNXLkSBUXF6tjx44+r/HJJ5/U4MGD1aFDB4WHh2vIkCFKS0vz+et6y6ZNm1RaWqobbrjBK/M988wzuvTSSxvdbvHixbrvvvt09OhRr7wu0JIQhABIksaMGaPy8nLt2rXLPfb2228rOjpaO3bs0IkTJ9zjOTk56tatm3r37q2goCBFR0fL4XD4tL5169Zp3rx5+s1vfqP8/Hy9++67WrhwocrLy336ut706KOPasaMGWrVyjv/9L722mv6+c9/3uh2AwYMUO/evfXXv/7VK68LtCQEIQCSpH79+ikmJka5ubnusdzcXF199dXq2bOn3nvvPY/xMWPGuH//8aWx9PR0hYeH6x//+IfOP/98dejQQRMmTFBxcbF7/5MnTyo1NVXh4eE699xztXDhQjX2tYebNm3Sddddp5kzZ6pPnz7q37+/pk6dqvvuu8+9zanLa8uXL1dkZKTCwsJ06623qrq62r1NTU2N0tLS1LNnT7Vr106DBw/WK6+84vFae/fu1cSJE9WhQwdFRUXpP//zP/XNN9+411dUVGj69Onq0KGDYmJimnTZ6euvv9aWLVs0adIkj3GHw6EnnnhCV111lUJCQnT++ecrLy9PBw4cUGJiotq3b6+RI0eqsLDQY78TJ04oMzPTHYT+9Kc/qW/fvmrbtq2ioqL0H//xHx7bT5o0SS+88EKjdQKmIQgBcBszZoxycnLcyzk5OUpMTNTo0aPd48ePH9eOHTvcQagulZWVeuihh/Tcc89p27ZtKioq0u233+5ev2rVKqWnp2vdunV655139N1332njxo0N1hYdHa333ntPX3zxRYPbZWdna9++fcrNzdWGDRv06quvavny5e71aWlpevbZZ7V27Vp99NFHmj9/vn75y19q69atkqQjR47o8ssv15AhQ7Rr1y5t3rxZpaWluu6669xz3HHHHdq6datee+01ZWZmKjc3V3v27GmwrnfeeccddH5q5cqVmj59uvLz8xUfH69p06bpv/7rv7Ro0SLt2rVLlmVpzpw5td5nly5dFB8fr127duk3v/mNVqxYoYKCAm3evFmjRo3y2H748OHauXOnqqqqGqwTMI7Pv98eQMB48sknrfbt21sul8sqKyuz2rRpYx06dMhav369NWrUKMuyLCs7O9uSZH3xxReWZVlWTk6OJck6fPiwZVmW9fTTT1uSrAMHDrjnXbNmjRUVFeVejomJsR544AH3ssvlsrp27WpdffXV9dZ28OBB6+KLL7YkWeedd56VkpJivfjii9bJkyfd26SkpFidOnWyKioq3GOPP/641aFDB+vkyZPWiRMnrJCQEGv79u0ec8+cOdOaOnWqZVmWtXLlSispKclj/ZdffmlJsgoKCqxjx45ZQUFB1ksvveRe/+2331rt2rWz5s6dW2/9jzzyiNWrV69a45KsxYsXu5fz8vIsSdZf/vIX99iGDRustm3beuw3a9Ys6/bbb7csy7L+9re/WWFhYVZZWVm9r//BBx9YkqzPP/+83m0AE7XxXwQDcLZJTExURUWF3n//fR0+fFjnnXeeIiMjNXr0aM2YMUMnTpxQbm6uevXqpW7dutU7T0hIiHr37u1ejomJ0aFDhyRJR48eVXFxsUaMGOFe36ZNGw0bNqzBy2MxMTHKy8vT3r17tW3bNm3fvl0pKSl66qmntHnzZvd9N4MHD1ZISIh7v4SEBJWXl+vLL79UeXm5KisrNX78eI+5q6urNWTIEEnSBx98oJycHHXo0KFWDYWFhTp+/Liqq6s96u/UqZP69etXb+3SD2fS2rZtW+e6QYMGuX+PioqSJA0cONBj7MSJEyorK1NYWJgsy9Lrr7+ul156SZI0fvx4de/eXb169dKECRM0YcIETZkyxaMP7dq1k/TD2ToA/48gBMCtT58+6tq1q3JycnT48GGNHj1akhQbG6u4uDht375dOTk5uvzyyxucx+l0eiw7HI5G7wFqqgEDBmjAgAH69a9/rVtvvVWXXXaZtm7d2uClulNO3Vj9xhtvqEuXLh7rgoOD3dtMmjRJ999/f639Y2JidODAgdOqOyIiQocPH65z3Y/7deqm87rGampqJEk7d+7U999/r5EjR0qSQkNDtWfPHuXm5iozM1NLlizRsmXL9P777ys8PFyS9N1330mSIiMjT6t+oKXiHiEAHsaMGaPc3Fzl5uZ6PDY/atQo/c///I927tzZpNBRn44dOyomJkY7duxwj33//ffavXt3s+e64IILJP1w8/IpH3zwgY4fP+5efu+999ShQwfFxcXpggsuUHBwsIqKitSnTx+Pn7i4OEnSRRddpI8++kg9evSotU3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    " ] @@ -612,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -648,7 +648,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -719,7 +719,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -758,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -808,7 +808,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 19, "metadata": {}, "outputs": [ { diff --git a/examples/003_wind_data_objects.py b/examples/003_wind_data_objects.py index d45fb4a3d..3951d51a1 100644 --- a/examples/003_wind_data_objects.py +++ b/examples/003_wind_data_objects.py @@ -149,15 +149,15 @@ # Aggregating and Resampling the Wind Rose ################################################## -# The aggregate function allows for aggregation of the wind rose data into +# The downsample function allows for aggregation of the wind rose data into # fewer wind direction and wind speed bins. # Note it will throw an error if the step sizes passed in are smaller than the # step sizes of the original data. -wind_rose_aggregate = wind_rose.aggregate(wd_step=10, ws_step=2) +wind_rose_aggregate = wind_rose.downsample(wd_step=10, ws_step=2) -# For upsampling, the resample_by_interpolation function can be used to interpolate +# For upsampling, the upsample function can be used to interpolate # the wind rose data to a finer grid. It can use either linear or nearest neighbor -wind_rose_resample = wind_rose.resample_by_interpolation(wd_step=0.5, ws_step=0.25) +wind_rose_resample = wind_rose.upsample(wd_step=0.5, ws_step=0.25) ################################################## # Setting turbulence intensity diff --git a/floris/wind_data.py b/floris/wind_data.py index a98cd9b9c..66337d0e7 100644 --- a/floris/wind_data.py +++ b/floris/wind_data.py @@ -318,6 +318,13 @@ def unpack(self): ) def aggregate(self, wd_step=None, ws_step=None, inplace=False): + """ + Wrapper for downsample method for backwards compatibility + """ + + return self.downsample(wd_step, ws_step, inplace) + + def downsample(self, wd_step=None, ws_step=None, inplace=False): """ Aggregates the wind rose into fewer wind direction and wind speed bins. It is necessary the wd_step and ws_step passed in are at least as @@ -407,8 +414,15 @@ def aggregate(self, wd_step=None, ws_step=None, inplace=False): def resample_by_interpolation(self, wd_step=None, ws_step=None, method="linear", inplace=False): """ + Wrapper to upsample method for backwards compatibility + """ - Resample the wind rose using interpolation. The method can be either + return self.upsample(wd_step, ws_step, method, inplace) + + def upsample(self, wd_step=None, ws_step=None, method="linear", inplace=False): + """ + + Resample the wind rose using interpolation for upsampling. The method can be either 'linear' or 'nearest'. If inplace is set to True, the current WindRose object will be updated with the resampled bins. @@ -598,8 +612,8 @@ def plot( the plotted wind rose. """ - # Get a aggregated wind_rose - wind_rose_aggregate = self.aggregate(wd_step, ws_step, inplace=False) + # Get a aggregated (downsampled) wind_rose + wind_rose_aggregate = self.downsample(wd_step, ws_step, inplace=False) wd_bins = wind_rose_aggregate.wind_directions ws_bins = wind_rose_aggregate.wind_speeds freq_table = wind_rose_aggregate.freq_table @@ -1132,6 +1146,13 @@ def unpack(self): ) def aggregate(self, wd_step=None, ws_step=None, ti_step=None, inplace=False): + """ + Wrapper for downsample method for backwards compatibility + """ + + return self.downsample(wd_step, ws_step, ti_step, inplace) + + def downsample(self, wd_step=None, ws_step=None, ti_step=None, inplace=False): """ Aggregates the wind TI rose into fewer wind direction, wind speed and TI bins. It is necessary the wd_step and ws_step ti_step passed in are at least as @@ -1234,7 +1255,14 @@ def aggregate(self, wd_step=None, ws_step=None, ti_step=None, inplace=False): else: return aggregated_wind_rose - def resample_by_interpolation( + def resample_by_interpolation(self, wd_step=None, ws_step=None, method="linear", inplace=False): + """ + Wrapper to upsample method for backwards compatibility + """ + + return self.upsample(wd_step, ws_step, method, inplace) + + def upsample( self, wd_step=None, ws_step=None, ti_step=None, method="linear", inplace=False ): """ @@ -1500,13 +1528,13 @@ def plot( if wind_rose_var == "ws": if wind_rose_var_step is None: wind_rose_var_step = 5.0 - wind_rose_aggregated = self.aggregate(wd_step, ws_step=wind_rose_var_step) + wind_rose_aggregated = self.downsample(wd_step, ws_step=wind_rose_var_step) var_bins = wind_rose_aggregated.wind_speeds freq_table = wind_rose_aggregated.freq_table.sum(2) # sum along TI dimension else: # wind_rose_var == "ti" if wind_rose_var_step is None: wind_rose_var_step = 0.04 - wind_rose_aggregated = self.aggregate(wd_step, ti_step=wind_rose_var_step) + wind_rose_aggregated = self.downsample(wd_step, ti_step=wind_rose_var_step) var_bins = wind_rose_aggregated.turbulence_intensities freq_table = wind_rose_aggregated.freq_table.sum(1) # sum along wind speed dimension @@ -2117,7 +2145,7 @@ def to_WindRose(self, wd_step=2.0, ws_step=1.0, wd_edges=None, ws_edges=None, bi wd_edges (NDArrayFloat, optional): Custom wind direction edges. Defaults to None. ws_edges (NDArrayFloat, optional): Custom wind speed edges. Defaults to None. bin_weights (NDArrayFloat, optional): Bin weights for resampling. Note these - are primarily used by the aggregate() method. + are primarily used by the downsample() method. Defaults to None. Returns: @@ -2267,7 +2295,7 @@ def to_WindTIRose( ti_edges (NDArrayFloat, optional): Custom turbulence intensity edges. Defaults to None. bin_weights (NDArrayFloat, optional): Bin weights for resampling. Note these - are primarily used by the aggregate() method. + are primarily used by the downsample() method. Defaults to None. Returns: diff --git a/tests/wind_data_integration_test.py b/tests/wind_data_integration_test.py index 71a0d2cf6..a7f10b241 100644 --- a/tests/wind_data_integration_test.py +++ b/tests/wind_data_integration_test.py @@ -188,7 +188,7 @@ def test_unpack_for_reinitialize(): np.testing.assert_allclose(ti_table_unpack, [0.06, 0.06]) -def test_wind_rose_aggregate(): +def test_wind_rose_downsample(): wind_directions = np.array([0, 2, 4, 6, 8, 10]) wind_speeds = np.array([8]) freq_table = np.array([[1.0], [1.0], [1.0], [1.0], [1.0], [1.0]]) @@ -196,31 +196,37 @@ def test_wind_rose_aggregate(): wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) # Test that aggregating without specifying new steps returns the same - wind_rose_aggregate = wind_rose.aggregate(inplace=False) + wind_rose_aggregate = wind_rose.downsample(inplace=False) np.testing.assert_allclose(wind_rose.wind_directions, wind_rose_aggregate.wind_directions) np.testing.assert_allclose(wind_rose.wind_speeds, wind_rose_aggregate.wind_speeds) np.testing.assert_allclose(wind_rose.freq_table_flat, wind_rose_aggregate.freq_table_flat) # Now test aggregating the wind direction to 5 deg bins - wind_rose_aggregate = wind_rose.aggregate(wd_step=5.0, inplace=False) + wind_rose_aggregate = wind_rose.downsample(wd_step=5.0, inplace=False) np.testing.assert_allclose(wind_rose_aggregate.wind_directions, [0, 5, 10]) np.testing.assert_allclose(wind_rose_aggregate.freq_table_flat, [2 / 6, 2 / 6, 2 / 6]) # Test that the default inplace behavior is to modifies the original object as expected wind_rose_2 = copy.deepcopy(wind_rose) - wind_rose_2.aggregate(inplace=True) + wind_rose_2.downsample(inplace=True) np.testing.assert_allclose(wind_rose.wind_directions, wind_rose_2.wind_directions) np.testing.assert_allclose(wind_rose.wind_speeds, wind_rose_2.wind_speeds) np.testing.assert_allclose(wind_rose.freq_table_flat, wind_rose_2.freq_table_flat) - wind_rose_2.aggregate(wd_step=5.0, inplace=True) + wind_rose_2.downsample(wd_step=5.0, inplace=True) np.testing.assert_allclose(wind_rose_aggregate.wind_directions, wind_rose_2.wind_directions) np.testing.assert_allclose(wind_rose_aggregate.wind_speeds, wind_rose_2.wind_speeds) np.testing.assert_allclose(wind_rose_aggregate.freq_table_flat, wind_rose_2.freq_table_flat) + # Test that aggregate function returns identical result to downsample function + wind_rose_aggregate = wind_rose.aggregate(wd_step=5.0, inplace=False) + wind_rose_downsample = wind_rose.downsample(wd_step=5.0, inplace=False) + np.testing.assert_allclose(wind_rose_aggregate.freq_table_flat, + wind_rose_downsample.freq_table_flat) + -def test_resample_by_interpolation(): +def test_upsample(): wind_directions = np.array([0, 2, 4, 6, 8, 10]) wind_speeds = np.array([8, 10]) freq_table = np.ones((6, 2)) @@ -229,7 +235,7 @@ def test_resample_by_interpolation(): wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) # Test that interpolating without specifying new steps returns the same - wind_rose_resample = wind_rose.resample_by_interpolation(inplace=False) + wind_rose_resample = wind_rose.upsample(inplace=False) np.testing.assert_allclose(wind_rose.wind_directions, wind_rose_resample.wind_directions) np.testing.assert_allclose(wind_rose.wind_speeds, wind_rose_resample.wind_speeds) @@ -241,7 +247,7 @@ def test_resample_by_interpolation(): ti_table = np.array([[0.06, 0.06], [0.07, 0.07]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.resample_by_interpolation( + wind_rose_resample = wind_rose.upsample( wd_step=5.0, ws_step=1.0, inplace=False ) @@ -256,7 +262,7 @@ def test_resample_by_interpolation(): freq_table = np.array([[1 / 6, 2 / 6], [1 / 6, 2 / 6]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) - wind_rose_resample = wind_rose.resample_by_interpolation( + wind_rose_resample = wind_rose.upsample( wd_step=10.0, ws_step=0.5, inplace=False ) @@ -271,7 +277,7 @@ def test_resample_by_interpolation(): # Test resampling both wind speed and wind directions ti_table = np.array([[0.01, 0.02], [0.03, 0.04]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.resample_by_interpolation( + wind_rose_resample = wind_rose.upsample( wd_step=5.0, ws_step=0.5, inplace=False ) @@ -281,12 +287,22 @@ def test_resample_by_interpolation(): np.testing.assert_allclose(wind_rose_resample.wind_speeds, [6, 6.5, 7]) np.testing.assert_allclose(wind_rose_resample.ti_table, ti_table_expected) + # Test the using the old function name returns the same result + wind_rose_resample_old = wind_rose.resample_by_interpolation( + wd_step=5.0, ws_step=0.5, inplace=False + ) + np.testing.assert_allclose(wind_rose_resample.wind_directions, + wind_rose_resample_old.wind_directions) + np.testing.assert_allclose(wind_rose_resample.wind_speeds, wind_rose_resample_old.wind_speeds) + np.testing.assert_allclose(wind_rose_resample.ti_table, wind_rose_resample_old.ti_table) + np.testing.assert_allclose(wind_rose_resample.freq_table, wind_rose_resample_old.freq_table) + # Test resampling wind directions when wind speeds is 1D wind_directions = np.array([270, 280]) wind_speeds = np.array([6]) ti_table = np.array([[0.06], [0.07]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.resample_by_interpolation(wd_step=5.0, inplace=False) + wind_rose_resample = wind_rose.upsample(wd_step=5.0, inplace=False) # Check that the resample ti_table is correct np.testing.assert_allclose(wind_rose_resample.wind_directions, [270, 275, 280]) @@ -298,7 +314,7 @@ def test_resample_by_interpolation(): wind_speeds = np.array([6, 7]) ti_table = np.array([[0.06, 0.07]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.resample_by_interpolation(ws_step=0.5, inplace=False) + wind_rose_resample = wind_rose.upsample(ws_step=0.5, inplace=False) # Check that the resample ti_table is correct np.testing.assert_allclose(wind_rose_resample.wind_directions, [270]) @@ -306,7 +322,7 @@ def test_resample_by_interpolation(): np.testing.assert_allclose(wind_rose_resample.ti_table, np.array([[0.06, 0.065, 0.07]])) -def test_resample_by_interpolation_ti_rose(): +def test_upsample_ti_rose(): wind_directions = np.array([0, 2, 4, 6, 8, 10]) wind_speeds = np.array([8, 10]) turbulence_intensities = np.array([0.05, 0.1]) @@ -318,7 +334,7 @@ def test_resample_by_interpolation_ti_rose(): ) # Test that interpolating without specifying new steps returns the same - wind_ti_rose_resample = wind_ti_rose.resample_by_interpolation(inplace=False) + wind_ti_rose_resample = wind_ti_rose.upsample(inplace=False) np.testing.assert_allclose(wind_ti_rose.wind_directions, wind_ti_rose_resample.wind_directions) np.testing.assert_allclose(wind_ti_rose.wind_speeds, wind_ti_rose_resample.wind_speeds) @@ -338,7 +354,7 @@ def test_resample_by_interpolation_ti_rose(): wind_directions, wind_speeds, turbulence_intensities, freq_table=freq_table ) - wind_ti_rose_resample = wind_ti_rose.resample_by_interpolation( + wind_ti_rose_resample = wind_ti_rose.upsample( wd_step=10.0, ws_step=0.5, ti_step=0.05, inplace=False ) @@ -363,7 +379,7 @@ def test_resample_by_interpolation_ti_rose(): wind_ti_rose = WindTIRose( wind_directions, wind_speeds, turbulence_intensities, freq_table=freq_table ) - wind_ti_rose_resample = wind_ti_rose.resample_by_interpolation(wd_step=5.0, inplace=False) + wind_ti_rose_resample = wind_ti_rose.upsample(wd_step=5.0, inplace=False) excepted_freq_table = np.ones((3, 1, 1)) excepted_freq_table[1, :, :] = 1.5 @@ -613,7 +629,7 @@ def test_wind_ti_rose_aggregate(): wind_rose = WindTIRose(wind_directions, wind_speeds, turbulence_intensities, freq_table) # Test that resampling with a new step size returns the same - wind_rose_aggregate = wind_rose.aggregate() + wind_rose_aggregate = wind_rose.downsample() np.testing.assert_allclose(wind_rose.wind_directions, wind_rose_aggregate.wind_directions) np.testing.assert_allclose(wind_rose.wind_speeds, wind_rose_aggregate.wind_speeds) @@ -623,7 +639,7 @@ def test_wind_ti_rose_aggregate(): np.testing.assert_allclose(wind_rose.freq_table_flat, wind_rose_aggregate.freq_table_flat) # Now test resampling the turbulence intensities to 4% bins - wind_rose_aggregate = wind_rose.aggregate(ti_step=0.04) + wind_rose_aggregate = wind_rose.downsample(ti_step=0.04) np.testing.assert_allclose(wind_rose_aggregate.turbulence_intensities, [0.04, 0.08, 0.12]) np.testing.assert_allclose( wind_rose_aggregate.freq_table_flat, (1 / 60) * np.array(12 * [2, 2, 1]) @@ -631,12 +647,12 @@ def test_wind_ti_rose_aggregate(): # Test tha that inplace behavior is to modify the original object as expected wind_rose_2 = copy.deepcopy(wind_rose) - wind_rose_2.aggregate(inplace=True) + wind_rose_2.downsample(inplace=True) np.testing.assert_allclose(wind_rose.wind_directions, wind_rose_2.wind_directions) np.testing.assert_allclose(wind_rose.wind_speeds, wind_rose_2.wind_speeds) np.testing.assert_allclose(wind_rose.turbulence_intensities, wind_rose_2.turbulence_intensities) - wind_rose_2.aggregate(ti_step=0.04, inplace=True) + wind_rose_2.downsample(ti_step=0.04, inplace=True) np.testing.assert_allclose( wind_rose_aggregate.turbulence_intensities, wind_rose_2.turbulence_intensities ) From 5ea0c561aefc0277089103518c2fe8ef73cc56a6 Mon Sep 17 00:00:00 2001 From: misi9170 <39596329+misi9170@users.noreply.github.com> Date: Tue, 2 Jul 2024 12:51:21 -0400 Subject: [PATCH 06/11] [BUGFIX] Fix turbine selector in random search layout optimizer (#934) * Make numpy randomint explicit; fix open interval end bug. * Update reg test. --- .../layout_optimization_random_search.py | 11 +++++------ .../random_search_layout_opt_regression_test.py | 6 +++--- 2 files changed, 8 insertions(+), 9 deletions(-) diff --git a/floris/optimization/layout_optimization/layout_optimization_random_search.py b/floris/optimization/layout_optimization/layout_optimization_random_search.py index 5358d2338..9499e0913 100644 --- a/floris/optimization/layout_optimization/layout_optimization_random_search.py +++ b/floris/optimization/layout_optimization/layout_optimization_random_search.py @@ -18,7 +18,6 @@ import matplotlib.pyplot as plt import numpy as np -from numpy import random from scipy.spatial.distance import cdist, pdist from shapely.geometry import Point, Polygon @@ -84,11 +83,11 @@ def _gen_dist_based_init( np.random.seed(s) # Choose the initial point randomly - init_x = float(random.randint(int(min_x),int(max_x))) - init_y = float(random.randint(int(min_y),int(max_y))) + init_x = float(np.random.randint(int(min_x),int(max_x))) + init_y = float(np.random.randint(int(min_y),int(max_y))) while not (poly_outer.contains(Point([init_x,init_y]))): - init_x = float(random.randint(int(min_x),int(max_x))) - init_y = float(random.randint(int(min_y),int(max_y))) + init_x = float(np.random.randint(int(min_x),int(max_x))) + init_y = float(np.random.randint(int(min_y),int(max_y))) # Intialize the layout arrays layout_x = np.array([init_x]) @@ -649,7 +648,7 @@ def _single_individual_opt( if get_new_point: #If the last test wasn't successful # Randomly select a turbine to nudge - tr = random.randint(0,num_turbines-1) + tr = np.random.randint(0,num_turbines) # Randomly select a direction to nudge in (uniform direction) rand_dir = np.random.uniform(low=0.0, high=2*np.pi) diff --git a/tests/reg_tests/random_search_layout_opt_regression_test.py b/tests/reg_tests/random_search_layout_opt_regression_test.py index f29b40f28..0d5eadea7 100644 --- a/tests/reg_tests/random_search_layout_opt_regression_test.py +++ b/tests/reg_tests/random_search_layout_opt_regression_test.py @@ -17,11 +17,11 @@ locations_baseline_aep = np.array( [ - [0.0, 571.5416296, 1260.0], - [0.0, 496.57085993, 0.], + [0.0, 619.07183266, 1260.0], + [0.0, 499.88056089, 0.0] ] ) -baseline_aep = 44787987324.21652 +baseline_aep = 44798828639.17205 locations_baseline_value = np.array( [ From 1ac4de286aa8df405a91d13c66732718003aed88 Mon Sep 17 00:00:00 2001 From: paulf81 Date: Tue, 9 Jul 2024 09:35:28 -0600 Subject: [PATCH 07/11] Update coloredlogs requirement (#939) --- .../yaw_optimization/yaw_optimization_tools.py | 8 ++++---- setup.py | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/floris/optimization/yaw_optimization/yaw_optimization_tools.py b/floris/optimization/yaw_optimization/yaw_optimization_tools.py index dedf8f057..36e428420 100644 --- a/floris/optimization/yaw_optimization/yaw_optimization_tools.py +++ b/floris/optimization/yaw_optimization/yaw_optimization_tools.py @@ -76,18 +76,18 @@ def wake_profile_ub_turbii(x): y = (y0 + D[ii]) + (x - x0) * wake_slope if isinstance(y, (float, np.float64, np.float32)): if x < (x0 + 0.01): - y = -np.Inf + y = -np.inf else: - y[x < x0 + 0.01] = -np.Inf + y[x < x0 + 0.01] = -np.inf return y def wake_profile_lb_turbii(x): y = (y0 - D[ii]) - (x - x0) * wake_slope if isinstance(y, (float, np.float64, np.float32)): if x < (x0 + 0.01): - y = -np.Inf + y = -np.inf else: - y[x < x0 + 0.01] = -np.Inf + y[x < x0 + 0.01] = -np.inf return y def determine_if_in_wake(xt, yt): diff --git a/setup.py b/setup.py index 1d12d08be..b3532ffd5 100644 --- a/setup.py +++ b/setup.py @@ -27,7 +27,7 @@ "shapely~=2.0", # utilities - "coloredlogs~=10.0", + "coloredlogs~=15.0", ] # What packages are optional? From 3d13d911f47c69c3db5d9abc1670b24ce298e401 Mon Sep 17 00:00:00 2001 From: misi9170 <39596329+misi9170@users.noreply.github.com> Date: Wed, 10 Jul 2024 10:38:21 -0400 Subject: [PATCH 08/11] [BUGFIX] Create reproducible version of random search layout optimizer for testing (#940) * Rearrange optimize() method to call private methods. * Add _test_optimize() routine; remove unneded indent. * Enable fixed iteration number in individual optimization for debugging purposes. * Use _test_optimize() for reg test and update reg test results. --- .../layout_optimization_random_search.py | 289 +++++++++++------- ...andom_search_layout_opt_regression_test.py | 10 +- 2 files changed, 176 insertions(+), 123 deletions(-) diff --git a/floris/optimization/layout_optimization/layout_optimization_random_search.py b/floris/optimization/layout_optimization/layout_optimization_random_search.py index 9499e0913..02671cd1d 100644 --- a/floris/optimization/layout_optimization/layout_optimization_random_search.py +++ b/floris/optimization/layout_optimization/layout_optimization_random_search.py @@ -328,6 +328,9 @@ def __init__( # Delete stored x and y to avoid confusion del self.x, self.y + # Set up to run in normal mode + self.debug = False + def describe(self): print("Random Layout Optimization") print(f"Number of turbines to optimize = {self.N_turbines}") @@ -491,74 +494,78 @@ def _get_initial_and_final_locs(self): y_opt = self.y_opt return x_initial, y_initial, x_opt, y_opt - - # Public methods - - def optimize(self): + def _initialize_optimization(self): """ - Perform the optimization + Set up logs etc """ print(f'Optimizing using {self.n_individuals} individuals.') - opt_start_time = timerpc() - opt_stop_time = opt_start_time + self.total_optimization_seconds - sim_time = 0 + self._opt_start_time = timerpc() + self._opt_stop_time = self._opt_start_time + self.total_optimization_seconds self.objective_candidate_log = [self.objective_candidate.copy()] self.num_objective_calls_log = [] self._num_objective_calls = [0]*self.n_individuals - while timerpc() < opt_stop_time: - - # Set random seed for the main loop - if self.random_seed is None: - multi_random_seeds = [None]*self.n_individuals - else: - multi_random_seeds = [55 + self.iteration_step + i - for i in range(self.n_individuals)] - # 55 is just an arbitrary choice to ensure different random seeds - # to the initialization code - - # Update the optimization time - sim_time = timerpc() - opt_start_time - print(f'Optimization time: {sim_time:.1f} s / {self.total_optimization_seconds:.1f} s') - - - # Generate the multiargs for parallel execution of single individual optimization - multiargs = [ - (self.seconds_per_iteration, - self.objective_candidate[i], - self.x_candidate[i, :], - self.y_candidate[i, :], - self.fmodel_dict, - self.fmodel.wind_data, - self.min_dist, - self._boundary_polygon, - self.distance_pmf, - self.enable_geometric_yaw, - multi_random_seeds[i], - self.use_value - ) - for i in range(self.n_individuals) - ] + def _run_optimization_generation(self): + """ + Run a generation of the outer genetic algorithm + """ + # Set random seed for the main loop + if self.random_seed is None: + multi_random_seeds = [None]*self.n_individuals + else: + multi_random_seeds = [55 + self.iteration_step + i + for i in range(self.n_individuals)] + # 55 is just an arbitrary choice to ensure different random seeds + # to the initialization code - # Run the single individual optimization in parallel - if self._PoolExecutor: # Parallelized - with self._PoolExecutor(self.max_workers) as p: - out = p.starmap(_single_individual_opt, multiargs) - else: # Parallelization not activated - out = [_single_individual_opt(*multiargs[0])] + # Update the optimization time + sim_time = timerpc() - self._opt_start_time + print(f'Optimization time: {sim_time:.1f} s / {self.total_optimization_seconds:.1f} s') - # Unpack the results - for i in range(self.n_individuals): - self.objective_candidate[i] = out[i][0] - self.x_candidate[i, :] = out[i][1] - self.y_candidate[i, :] = out[i][2] - self._num_objective_calls[i] = out[i][3] - self.objective_candidate_log.append(self.objective_candidate) - self.num_objective_calls_log.append(self._num_objective_calls) - # Evaluate the individuals for this step - self._evaluate_opt_step() + # Generate the multiargs for parallel execution of single individual optimization + multiargs = [ + (self.seconds_per_iteration, + self.objective_candidate[i], + self.x_candidate[i, :], + self.y_candidate[i, :], + self.fmodel_dict, + self.fmodel.wind_data, + self.min_dist, + self._boundary_polygon, + self.distance_pmf, + self.enable_geometric_yaw, + multi_random_seeds[i], + self.use_value, + self.debug + ) + for i in range(self.n_individuals) + ] + + # Run the single individual optimization in parallel + if self._PoolExecutor: # Parallelized + with self._PoolExecutor(self.max_workers) as p: + out = p.starmap(_single_individual_opt, multiargs) + else: # Parallelization not activated + out = [_single_individual_opt(*multiargs[0])] + + # Unpack the results + for i in range(self.n_individuals): + self.objective_candidate[i] = out[i][0] + self.x_candidate[i, :] = out[i][1] + self.y_candidate[i, :] = out[i][2] + self._num_objective_calls[i] = out[i][3] + self.objective_candidate_log.append(self.objective_candidate) + self.num_objective_calls_log.append(self._num_objective_calls) + + # Evaluate the individuals for this step + self._evaluate_opt_step() + + def _finalize_optimization(self): + """ + Package and print final results. + """ # Finalize the result self.objective_final = self.objective_candidate[0] @@ -572,8 +579,42 @@ def optimize(self): f" {self._obj_unit} ({increase:+.2f}%)" ) + def _test_optimize(self): + """ + Perform a fixed number of iterations with a single worker for + debugging and testing purposes. + """ + # Set up a minimal problem to run on a single worker + print("Running test optimization on a single worker.") + self._PoolExecutor = None + self.max_workers = None + self.n_individuals = 1 + self.debug = True + + self._initialize_optimization() + + # Run 2 generations + for _ in range(2): + self._run_optimization_generation() + + self._finalize_optimization() + return self.objective_final, self.x_opt, self.y_opt + # Public methods + def optimize(self): + """ + Perform the optimization + """ + self._initialize_optimization() + + # Run generations until the overall stop time + while timerpc() < self._opt_stop_time: + self._run_optimization_generation() + + self._finalize_optimization() + + return self.objective_final, self.x_opt, self.y_opt # Helpful visualizations def plot_distance_pmf(self, ax=None): @@ -605,7 +646,8 @@ def _single_individual_opt( dist_pmf, enable_geometric_yaw, s, - use_value + use_value, + debug ): # Set random seed np.random.seed(s) @@ -639,69 +681,80 @@ def _single_individual_opt( # disabled. use_momentum = False + # Special handling for debug mode + if debug: + debug_iterations = 100 + stop_time = np.inf + dd = 0 + # Loop as long as we've not hit the stop time while timerpc() < stop_time: - if not use_momentum: - get_new_point = True - - if get_new_point: #If the last test wasn't successful - - # Randomly select a turbine to nudge - tr = np.random.randint(0,num_turbines) - - # Randomly select a direction to nudge in (uniform direction) - rand_dir = np.random.uniform(low=0.0, high=2*np.pi) - - # Randomly select a distance to travel according to pmf - rand_dist = np.random.choice(dist_pmf["d"], p=dist_pmf["p"]) - - # Get a new test point - test_x = layout_x[tr] + np.cos(rand_dir) * rand_dist - test_y = layout_y[tr] + np.sin(rand_dir) * rand_dist - - # In bounds? - if not test_point_in_bounds(test_x, test_y, poly_outer): - get_new_point = True - continue - - # Make a new layout - original_x = layout_x[tr] - original_y = layout_y[tr] - layout_x[tr] = test_x - layout_y[tr] = test_y - - # Acceptable distances? - if not test_min_dist(layout_x, layout_y,min_dist): - # Revert and continue - layout_x[tr] = original_x - layout_y[tr] = original_y - get_new_point = True - continue - - # Does it improve the objective? - if enable_geometric_yaw: # Select appropriate yaw angles - yaw_opt.fmodel_subset.set(layout_x=layout_x, layout_y=layout_y) - df_opt = yaw_opt.optimize() - yaw_angles = np.vstack(df_opt['yaw_angles_opt']) - - num_objective_calls += 1 - test_objective = _get_objective(layout_x, layout_y, fmodel_, yaw_angles, use_value) - - if test_objective > current_objective: - # Accept the change - current_objective = test_objective - - # If not a random point this cycle and it did improve things - # try not getting a new point - # Feature is currently disabled by use_momentum flag - get_new_point = False - - else: - # Revert the change - layout_x[tr] = original_x - layout_y[tr] = original_y - get_new_point = True + if debug and dd >= debug_iterations: + break + elif debug: + dd += 1 + + if not use_momentum: + get_new_point = True + + if get_new_point: #If the last test wasn't successful + + # Randomly select a turbine to nudge + tr = np.random.randint(0,num_turbines) + + # Randomly select a direction to nudge in (uniform direction) + rand_dir = np.random.uniform(low=0.0, high=2*np.pi) + + # Randomly select a distance to travel according to pmf + rand_dist = np.random.choice(dist_pmf["d"], p=dist_pmf["p"]) + + # Get a new test point + test_x = layout_x[tr] + np.cos(rand_dir) * rand_dist + test_y = layout_y[tr] + np.sin(rand_dir) * rand_dist + + # In bounds? + if not test_point_in_bounds(test_x, test_y, poly_outer): + get_new_point = True + continue + + # Make a new layout + original_x = layout_x[tr] + original_y = layout_y[tr] + layout_x[tr] = test_x + layout_y[tr] = test_y + + # Acceptable distances? + if not test_min_dist(layout_x, layout_y,min_dist): + # Revert and continue + layout_x[tr] = original_x + layout_y[tr] = original_y + get_new_point = True + continue + + # Does it improve the objective? + if enable_geometric_yaw: # Select appropriate yaw angles + yaw_opt.fmodel_subset.set(layout_x=layout_x, layout_y=layout_y) + df_opt = yaw_opt.optimize() + yaw_angles = np.vstack(df_opt['yaw_angles_opt']) + + num_objective_calls += 1 + test_objective = _get_objective(layout_x, layout_y, fmodel_, yaw_angles, use_value) + + if test_objective > current_objective: + # Accept the change + current_objective = test_objective + + # If not a random point this cycle and it did improve things + # try not getting a new point + # Feature is currently disabled by use_momentum flag + get_new_point = False + + else: + # Revert the change + layout_x[tr] = original_x + layout_y[tr] = original_y + get_new_point = True # Return the best result from this individual return current_objective, layout_x, layout_y, num_objective_calls diff --git a/tests/reg_tests/random_search_layout_opt_regression_test.py b/tests/reg_tests/random_search_layout_opt_regression_test.py index 0d5eadea7..edc3b4478 100644 --- a/tests/reg_tests/random_search_layout_opt_regression_test.py +++ b/tests/reg_tests/random_search_layout_opt_regression_test.py @@ -17,11 +17,11 @@ locations_baseline_aep = np.array( [ - [0.0, 619.07183266, 1260.0], - [0.0, 499.88056089, 0.0] + [0.0, 243.05304475, 1260.0], + [0.0, 959.83979244, 0.0], ] ) -baseline_aep = 44798828639.17205 +baseline_aep = 45226182795.34081 locations_baseline_value = np.array( [ @@ -68,7 +68,7 @@ def test_random_search_layout_opt(sample_inputs_fixture): use_dist_based_init=False, random_seed=0, ) - sol = layout_opt.optimize() + sol = layout_opt._test_optimize() optimized_aep = sol[0] locations_opt = np.array([sol[1], sol[2]]) @@ -130,7 +130,7 @@ def test_random_search_layout_opt_value(sample_inputs_fixture): random_seed=0, use_value=True, ) - sol = layout_opt.optimize() + sol = layout_opt._test_optimize() optimized_value = sol[0] locations_opt = np.array([sol[1], sol[2]]) From f3ac07f30d24a526452c34e48a200cb1901d8bd1 Mon Sep 17 00:00:00 2001 From: paulf81 Date: Mon, 15 Jul 2024 14:36:30 -0600 Subject: [PATCH 09/11] [BUGFIX] Circular upsampling across wind directions (#943) * Initial upsample fixes * Upsample testing changes * clean up code * clean up tests * matching changes to wind_ti_rose * update wind_ti_rose tests * Address comments * Fix setup of random opt test * Clean up comment * Fix examples * Add utility function to identify step size * Add test of step size function * Add a function to make wind direction adjacent * Add test in wind direction adjacent function * Improve docstring * Return sorting indices * Update to use new utilities * Update to test new methods * Switch to concatenate from double append. * hide labels for boundary, as not visible under heterogeneous map. --------- Co-authored-by: misi9170 --- examples/003_wind_data_objects.py | 2 +- .../002_optimize_layout_with_heterogeneity.py | 10 +- floris/utilities.py | 101 ++++ floris/wind_data.py | 544 ++++++++++++------ ...andom_search_layout_opt_regression_test.py | 2 +- tests/utilities_unit_test.py | 62 ++ tests/wind_data_integration_test.py | 404 ++++++++++--- 7 files changed, 863 insertions(+), 262 deletions(-) diff --git a/examples/003_wind_data_objects.py b/examples/003_wind_data_objects.py index 3951d51a1..4a6e167d3 100644 --- a/examples/003_wind_data_objects.py +++ b/examples/003_wind_data_objects.py @@ -224,7 +224,7 @@ # bins for which frequency is zero are not simulated. This can be changed by setting the # compute_zero_freq_occurrence parameter to True. wind_directions = np.array([200.0, 300.0]) -wind_speeds = np.array([5.0, 1.00]) +wind_speeds = np.array([5.0, 10.0]) freq_table = np.array([[0.5, 0], [0.5, 0]]) wind_rose = WindRose( wind_directions=wind_directions, wind_speeds=wind_speeds, ti_table=0.06, freq_table=freq_table diff --git a/examples/examples_layout_optimization/002_optimize_layout_with_heterogeneity.py b/examples/examples_layout_optimization/002_optimize_layout_with_heterogeneity.py index a8cc4044b..a0a432d39 100644 --- a/examples/examples_layout_optimization/002_optimize_layout_with_heterogeneity.py +++ b/examples/examples_layout_optimization/002_optimize_layout_with_heterogeneity.py @@ -26,10 +26,10 @@ # Setup 2 wind directions (due east and due west) # and 1 wind speed with uniform probability -wind_directions = np.array([270.0, 90.0]) +wind_directions = np.array([90.0, 270.0]) n_wds = len(wind_directions) -wind_speeds = [8.0] * np.ones_like(wind_directions) -turbulence_intensities = 0.06 * np.ones_like(wind_directions) +wind_speeds = np.array([8.0]) + # Shape frequency distribution to match number of wind directions and wind speeds freq_table = np.ones((len(wind_directions), len(wind_speeds))) freq_table = freq_table / freq_table.sum() @@ -106,7 +106,7 @@ fig = plt.gcf() sm = ax.tricontourf(x_locs, y_locs, speed_multipliers[0], cmap="coolwarm") fig.colorbar(sm, ax=ax, label="Speed multiplier") -ax.legend(["Initial layout", "Optimized layout", "Optimization boundary"]) +ax.legend(["_Optimization boundary", "Initial layout", "Optimized layout" ]) ax.set_title("Geometric yaw disabled") @@ -144,7 +144,7 @@ fig = plt.gcf() sm = ax.tricontourf(x_locs, y_locs, speed_multipliers[0], cmap="coolwarm") fig.colorbar(sm, ax=ax, label="Speed multiplier") -ax.legend(["Initial layout", "Optimized layout", "Optimization boundary"]) +ax.legend(["_Optimization boundary", "Initial layout", "Optimized layout"]) ax.set_title("Geometric yaw enabled") print( diff --git a/floris/utilities.py b/floris/utilities.py index 074d9a1b3..4f539f371 100644 --- a/floris/utilities.py +++ b/floris/utilities.py @@ -88,6 +88,107 @@ def wrap_360(x): return x % 360.0 +def check_and_identify_step_size(wind_directions): + """ + This function identifies the step size in a series of wind directions. The function will + return the step size if the wind directions are evenly spaced, otherwise it will raise an + error. + + Args: + wind_directions (np.ndarray): Array of wind directions. + + Returns: + float: The step size of the wind directions. + """ + + if len(wind_directions) < 2: + raise ValueError("Array must contain at least 2 elements") + + # First compute the steps between each wind direction + steps = np.diff(wind_directions) + + # Confirm that the steps are all positive + if not np.all(steps > 0): + raise ValueError("wind_directions must be monotonically increasing") + + # Check the step from the last to the first element + last_step = wind_directions[0] - wind_directions[-1] + 360 + + # If len(window_directions) == 2, then return whichever step is smaller + if len(wind_directions) == 2: + return min(steps[0], last_step) + + # If len(window_directions) == 3 make some checks + elif len(wind_directions) == 3: + if np.all(steps == steps[0]): + return steps[0] + elif steps[0] == last_step: + return steps[0] + elif steps[1] == last_step: + return steps[1] + else: + raise ValueError("wind_directions must be evenly spaced") + + else: + if np.all(steps == steps[0]): + return steps[0] + + # If all but one of the steps are the same + values, counts = np.unique(steps, return_counts=True) + + # Check for the case where there are more than two different step sizes + if len(values) > 2: + raise ValueError("wind_directions must be evenly spaced") + + # In the case there are only two step sizes, ensure that one only happens once + if np.min(counts) > 1: + raise ValueError("wind_directions must be evenly spaced") + + # If the last step equals the most common step, return the most common step + if last_step == values[np.argmax(counts)]: + return values[np.argmax(counts)] + + raise ValueError("wind_directions must be evenly spaced") + +def make_wind_directions_adjacent(wind_directions: NDArrayFloat) -> NDArrayFloat: + """ + This function reorders the wind directions so that they are adjacent. The function will + return the reordered wind directions if the wind directions are not adjacent, otherwise it + will return the input wind directions + + Args: + wind_directions (NDArrayFloat): Array of wind directions. + + Returns: + NDArrayFloat: The reordered wind directions to be adjacent. + """ + + # Check the step size of the wind directions + step_size = check_and_identify_step_size(wind_directions) + + # Get a list of steps + steps = np.diff(wind_directions) + + # There will be at most one step with a size larger than the step size + # If there is one, find it + if np.any(steps > step_size): + idx = np.argmax(steps) + + # Now change wind_directions such that for each direction after that index + # subtract 360 and move that block to the front + wind_directions = np.concatenate( + (wind_directions[idx+1:] - 360, wind_directions[:idx+1]) + ) + + # Return the wind directions and indices to go from the original to the new + sort_indices = np.array(list(range(idx+1,len(wind_directions))) + list(range(idx+1))) + + return wind_directions, sort_indices + + else: + + return wind_directions, np.arange(len(wind_directions)) + def wind_delta(wind_directions: NDArrayFloat | float): """ diff --git a/floris/wind_data.py b/floris/wind_data.py index 66337d0e7..316495a48 100644 --- a/floris/wind_data.py +++ b/floris/wind_data.py @@ -12,6 +12,11 @@ from floris.heterogeneous_map import HeterogeneousMap from floris.type_dec import NDArrayFloat +from floris.utilities import ( + check_and_identify_step_size, + make_wind_directions_adjacent, + wrap_180, +) class WindDataBase: @@ -91,8 +96,10 @@ class WindRose(WindDataBase): wind direction and wind speed. Args: - wind_directions: NumPy array of wind directions (NDArrayFloat). - wind_speeds: NumPy array of wind speeds (NDArrayFloat). + wind_directions: NumPy array of wind directions (NDArrayFloat). Must + be evenly spaced and monotonically increasing. + wind_speeds: NumPy array of wind speeds (NDArrayFloat). Must be + evenly spaced and monotonically increasing. ti_table: Turbulence intensity table for binned wind direction, wind speed values (float, NDArrayFloat). Can be an array with dimensions (n_wind_directions, n_wind_speeds) or a single float value. If a @@ -145,6 +152,25 @@ def __init__( if not isinstance(wind_speeds, np.ndarray): raise TypeError("wind_speeds must be a NumPy array") + # Confirm that both wind_directions and wind_speeds are monitonically + # increasing and evenly spaced + if len(wind_directions) > 1: + # Check monotonically increasing + if not np.all(np.diff(wind_directions) > 0): + raise ValueError("wind_directions must be monotonically increasing") + + # Check evenly spaced (Function will raise error if not) + check_and_identify_step_size(wind_directions=wind_directions) + + if len(wind_speeds) > 1: + # Check monotonically increasing + if not np.all(np.diff(wind_speeds) > 0): + raise ValueError("wind_speeds must be monotonically increasing") + + # Check evenly spaced + if not np.allclose(np.diff(wind_speeds), wind_speeds[1] - wind_speeds[0]): + raise ValueError("wind_speeds must be evenly spaced") + # Save the wind speeds and directions self.wind_directions = wind_directions self.wind_speeds = wind_speeds @@ -205,7 +231,7 @@ def __init__( if heterogeneous_map is not None and heterogeneous_inflow_config_by_wd is not None: raise ValueError( "Only one of heterogeneous_map and heterogeneous_inflow_config_by_wd can be" - +" defined." + + " defined." ) # If heterogeneous_inflow_config_by_wd is not None, then create a HeterogeneousMap object @@ -367,7 +393,7 @@ def downsample(self, wd_step=None, ws_step=None, inplace=False): # If wd_step is passed in, confirm is it at least as large as the current step if wd_step is not None: if len(self.wind_directions) >= 2: - current_wd_step = self.wind_directions[1] - self.wind_directions[0] + current_wd_step = check_and_identify_step_size(wind_directions=self.wind_directions) if wd_step < current_wd_step: raise ValueError( "wd_step provided must be at least as large as the current wd_step " @@ -382,7 +408,7 @@ def downsample(self, wd_step=None, ws_step=None, inplace=False): ws_step = 1.0 if wd_step is None: if len(self.wind_directions) >= 2: - wd_step = self.wind_directions[1] - self.wind_directions[0] + wd_step = check_and_identify_step_size(wind_directions=self.wind_directions) else: # wind rose will have only a single wind direction, and we assume a wd_step of 1 wd_step = 1.0 @@ -452,78 +478,136 @@ def upsample(self, wd_step=None, ws_step=None, method="linear", inplace=False): "Available methods are 'linear' and 'nearest'" ) + # First establish the current ws_step and wd_step + if len(self.wind_speeds) >= 2: + ws_step_current = self.wind_speeds[1] - self.wind_speeds[0] + else: # wind rose will have only a single wind speed, and we assume a ws_step of 1 + ws_step_current = 1.0 + + if len(self.wind_directions) >= 2: + # Identify the current step size + wd_step_current = check_and_identify_step_size(wind_directions=self.wind_directions) + else: # wind rose will have only a single wind direction, and we assume a wd_step of 1 + wd_step_current = 1.0 + # If either ws_step or wd_step is None, set it to the current step if ws_step is None: - if len(self.wind_speeds) >= 2: - ws_step = self.wind_speeds[1] - self.wind_speeds[0] - else: # wind rose will have only a single wind speed, and we assume a ws_step of 1 - ws_step = 1.0 + ws_step = ws_step_current if wd_step is None: - if len(self.wind_directions) >= 2: - wd_step = self.wind_directions[1] - self.wind_directions[0] - else: # wind rose will have only a single wind direction, and we assume a wd_step of 1 - wd_step = 1.0 + wd_step = wd_step_current - # Set up the new wind direction and wind speed bins - new_wind_directions = np.arange( - self.wind_directions[0], self.wind_directions[-1] + wd_step / 2.0, wd_step - ) - new_wind_speeds = np.arange( - self.wind_speeds[0], self.wind_speeds[-1] + ws_step / 2.0, ws_step - ) + # Make sure upsampling is appropriate + if wd_step > wd_step_current: + raise ValueError( + f"Provided wd_step ({wd_step}) is larger than the current " + f" wind direction step size. ({wd_step_current} degrees)" + " Use the downsample method." + ) + + if ws_step > ws_step_current: + raise ValueError( + f"Provided ws_step ({ws_step}) is larger than " + f"the current wind speed step size. ({ws_step_current} m/s)" + " Use the downsample method." + ) + + # Get the current wind directions in adjacent from (ie 0, 2 358 -> -2, 0 ,2) + if len(self.wind_directions) >= 2: + current_wind_directions, adjacent_sort_index = make_wind_directions_adjacent( + self.wind_directions + ) + else: + current_wind_directions = self.wind_directions + adjacent_sort_index = np.arange(len(current_wind_directions)) + + # Identify the covered range of wind directions + wd_range_min_current = np.min(current_wind_directions) - wd_step_current / 2.0 + wd_range_max_current = np.max(current_wind_directions) + wd_step_current / 2.0 + + # Look for unlikely case where for example wind directions are 8, 28, ... 358 + if wd_range_max_current > 360: + # TODO: Handle this case without an error + raise ValueError( + "Cannot upsample wind rose for case when wind directions are defined" + " such that 0 degrees is included by bins to the left of 0 degrees. " + ) + + # Identify the new minimum wind direction + wd_min_new = wd_range_min_current + wd_step / 2.0 + wd_max_new = wd_range_max_current - wd_step / 2.0 + + new_wind_directions = np.arange(wd_min_new, wd_max_new + wd_step / 2.0, wd_step) + + # Set up the new wind speeds + ws_range_min_current = np.min(self.wind_speeds) - ws_step_current / 2.0 + ws_range_max_current = np.max(self.wind_speeds) + ws_step_current / 2.0 + ws_min_new = ws_range_min_current + ws_step / 2.0 + ws_max_new = ws_range_max_current - ws_step / 2.0 - # Set up for interpolation - wind_direction_column = self.wind_directions.copy() + # Force the new ws_min to 0 if negative + if ws_min_new < 0: + ws_min_new = 0.0 + + new_wind_speeds = np.arange(ws_min_new, ws_max_new + ws_step / 2.0, ws_step) + + # Set up for interpolation by copying the current values + # and making sure they are sorted according to the adjacent wind directions + wind_direction_column = current_wind_directions.copy() wind_speed_column = self.wind_speeds.copy() - ti_matrix = self.ti_table.copy() - freq_matrix = self.freq_table.copy() + ti_matrix = self.ti_table.copy()[adjacent_sort_index, :] + freq_matrix = self.freq_table.copy()[adjacent_sort_index, :] if self.value_table is not None: - value_matrix = self.value_table.copy() + value_matrix = self.value_table.copy()[adjacent_sort_index, :] else: value_matrix = None - # If the first entry of wind_direction column is 0, and the last entry is not 360, then - # pad 360 to the end of the wind direction column and the last row of the ti_matrix and - # freq_matrix by copying the 0 entry - if len(wind_direction_column) > 1: - if wind_direction_column[0] == 0 and wind_direction_column[-1] != 360: - wind_direction_column = np.append(wind_direction_column, 360) - ti_matrix = np.vstack((ti_matrix, ti_matrix[0, :])) - freq_matrix = np.vstack((freq_matrix, freq_matrix[0, :])) - if self.value_table is not None: - value_matrix = np.vstack((value_matrix, value_matrix[0, :])) - - # If the wind_direction columns has length 1, then pad the wind_direction column with - # that value + and - 1 and expand the matrices accordingly - # (this avoids interpolation errors) - if len(wind_direction_column) == 1: - wind_direction_column = np.array( - [ - wind_direction_column[0] - 1, - wind_direction_column[0], - wind_direction_column[0] + 1, - ] - ) - ti_matrix = np.vstack((ti_matrix, ti_matrix[0, :], ti_matrix[0, :])) - freq_matrix = np.vstack((freq_matrix, freq_matrix[0, :], freq_matrix[0, :])) + # For padding wind directions, there are two cases to consider. In the first, + # say that the wind directions are 30, 40, 50. In this case it's important append + # 30 and 50 to 35 and 55 to ensure the interpolation covers the full range of data + # This is the case when wind directions doesn't cover the full range of possible + # degrees (0-360) + if np.abs((wd_range_min_current % 360.0) - (wd_range_max_current % 360.0)) > 1e-6: + wind_direction_column = np.concatenate(( + np.array([wd_range_min_current]), + wind_direction_column, + np.array([wd_range_max_current]) + )) + ti_matrix = ti_matrix = np.vstack((ti_matrix[0, :], ti_matrix, ti_matrix[-1,:])) + freq_matrix = np.vstack((freq_matrix[0, :], freq_matrix, freq_matrix[-1,:])) if self.value_table is not None: - value_matrix = np.vstack((value_matrix, value_matrix[0, :], value_matrix[0, :])) - - # If the wind_speed column has length 1, then pad the wind_speed column with - # that value + and - 1 - # and expand the matrices accordingly (this avoids interpolation errors) - if len(wind_speed_column) == 1: - wind_speed_column = np.array( - [wind_speed_column[0] - 1, wind_speed_column[0], wind_speed_column[0] + 1] - ) - ti_matrix = np.hstack((ti_matrix, ti_matrix[:, 0][:, None], ti_matrix[:, 0][:, None])) - freq_matrix = np.hstack( - (freq_matrix, freq_matrix[:, 0][:, None], freq_matrix[:, 0][:, None]) + value_matrix = np.vstack((value_matrix[0, :], value_matrix, value_matrix[-1,:])) + + # In the alternative case, where the wind directions cover the full range + # ie, 0, 10, 20 30, ...350, then need to place 0 at 360 and 350 at -10 + # to cover all interpolations + else: + # Pad wind direction column with min_wd + 360 + wind_direction_column = np.concatenate( + ( + [np.max(self.wind_directions) - 360.0], + wind_direction_column, + [np.min(self.wind_directions) + 360.0], + ) ) + + # Pad the remaining with the appropriate value + ti_matrix = ti_matrix = np.vstack((ti_matrix[-1, :], ti_matrix, ti_matrix[0, :])) + freq_matrix = np.vstack((freq_matrix[-1, :], freq_matrix, freq_matrix[0, :])) if self.value_table is not None: - value_matrix = np.hstack( - (value_matrix, value_matrix[:, 0][:, None], value_matrix[:, 0][:, None]) - ) + value_matrix = np.vstack((value_matrix[-1, :], value_matrix, value_matrix[0, :])) + + # Pad out the wind speeds + wind_speed_column = np.append(ws_range_min_current, wind_speed_column) + ti_matrix = np.hstack((ti_matrix[:, 0].reshape((-1, 1)), ti_matrix)) + freq_matrix = np.hstack((freq_matrix[:, 0].reshape((-1, 1)), freq_matrix)) + if self.value_table is not None: + value_matrix = np.hstack((value_matrix[:, 0].reshape((-1, 1)), value_matrix)) + + wind_speed_column = np.append(wind_speed_column, ws_range_max_current) + ti_matrix = np.hstack((ti_matrix, ti_matrix[:, -1].reshape((-1, 1)))) + freq_matrix = np.hstack((freq_matrix, freq_matrix[:, -1].reshape((-1, 1)))) + if self.value_table is not None: + value_matrix = np.hstack((value_matrix, value_matrix[:, -1].reshape((-1, 1)))) # Grid wind directions and wind speeds to match the ti_matrix and freq_matrix when flattened wd_grid, ws_grid = np.meshgrid(wind_direction_column, wind_speed_column, indexing="ij") @@ -556,6 +640,18 @@ def upsample(self, wd_step=None, ws_step=None, method="linear", inplace=False): else: new_value_matrix = None + # Wrap new_wind_directions to 0-360 + new_wind_directions = new_wind_directions % 360 + + # Finally sort new_wind_directions, and re-order new_ti_matrix, new_freq_matrix + # and new_value_matrix accordingly + sort_indices = np.argsort(new_wind_directions) + new_wind_directions = new_wind_directions[sort_indices] + new_ti_matrix = new_ti_matrix[sort_indices, :] + new_freq_matrix = new_freq_matrix[sort_indices, :] + if self.value_table is not None: + new_value_matrix = new_value_matrix[sort_indices, :] + # Create the resampled wind rose resampled_wind_rose = WindRose( new_wind_directions, @@ -637,7 +733,7 @@ def plot( rects = [] freq_table_sub = freq_table[wd_idx, :].flatten() for ws_idx, ws in reversed(list(enumerate(ws_bins))): - plot_val = freq_table_sub[:ws_idx + 1].sum() + plot_val = freq_table_sub[: ws_idx + 1].sum() rects.append( ax.bar( np.radians(wd), @@ -990,6 +1086,38 @@ def __init__( if not isinstance(turbulence_intensities, np.ndarray): raise TypeError("turbulence_intensities must be a NumPy array") + # Confirm that both wind_directions and wind_speeds + # and turbulence intensities are monotonically + # increasing and evenly spaced + if len(wind_directions) > 1: + # Check monotonically increasing + if not np.all(np.diff(wind_directions) > 0): + raise ValueError("wind_directions must be monotonically increasing") + + # Check evenly spaced (Function will raise error if not) + check_and_identify_step_size(wind_directions=wind_directions) + + if len(wind_speeds) > 1: + # Check monotonically increasing + if not np.all(np.diff(wind_speeds) > 0): + raise ValueError("wind_speeds must be monotonically increasing") + + # Check evenly spaced + if not np.allclose(np.diff(wind_speeds), wind_speeds[1] - wind_speeds[0]): + raise ValueError("wind_speeds must be evenly spaced") + + if len(turbulence_intensities) > 1: + # Check monotonically increasing + if not np.all(np.diff(turbulence_intensities) > 0): + raise ValueError("turbulence_intensities must be monotonically increasing") + + # Check evenly spaced + if not np.allclose( + np.diff(turbulence_intensities), + turbulence_intensities[1] - turbulence_intensities[0], + ): + raise ValueError("turbulence_intensities must be evenly spaced") + # Save the wind speeds and directions self.wind_directions = wind_directions self.wind_speeds = wind_speeds @@ -1035,7 +1163,7 @@ def __init__( if heterogeneous_map is not None and heterogeneous_inflow_config_by_wd is not None: raise ValueError( "Only one of heterogeneous_map and heterogeneous_inflow_config_by_wd can be" - +" defined." + + " defined." ) # If heterogeneous_inflow_config_by_wd is not None, then create a HeterogeneousMap object @@ -1194,7 +1322,7 @@ def downsample(self, wd_step=None, ws_step=None, ti_step=None, inplace=False): # If wd_step is passed in, confirm is it at least as large as the current step if wd_step is not None: if len(self.wind_directions) >= 2: - current_wd_step = self.wind_directions[1] - self.wind_directions[0] + current_wd_step = check_and_identify_step_size(wind_directions=self.wind_directions) if wd_step < current_wd_step: raise ValueError( "wd_step provided must be at least as large as the current wd_step " @@ -1219,7 +1347,7 @@ def downsample(self, wd_step=None, ws_step=None, ti_step=None, inplace=False): ws_step = 1.0 if wd_step is None: if len(self.wind_directions) >= 2: - wd_step = self.wind_directions[1] - self.wind_directions[0] + wd_step = check_and_identify_step_size(wind_directions=self.wind_directions) else: # wind rose will have only a single wind direction, and we assume a wd_step of 1 wd_step = 1.0 if ti_step is None: @@ -1262,9 +1390,7 @@ def resample_by_interpolation(self, wd_step=None, ws_step=None, method="linear", return self.upsample(wd_step, ws_step, method, inplace) - def upsample( - self, wd_step=None, ws_step=None, ti_step=None, method="linear", inplace=False - ): + def upsample(self, wd_step=None, ws_step=None, ti_step=None, method="linear", inplace=False): """ Resample the wind TI rose using interpolation. The method can be either @@ -1299,126 +1425,201 @@ def upsample( "Available methods are 'linear' and 'nearest'" ) - # If either ws_step or wd_step is None, set it to the current step + # First establish the current ws_step and wd_step and ti_step + if len(self.wind_speeds) >= 2: + ws_step_current = self.wind_speeds[1] - self.wind_speeds[0] + else: # wind rose will have only a single wind speed, and we assume a ws_step of 1 + ws_step_current = 1.0 + + if len(self.wind_directions) >= 2: + wd_step_current = check_and_identify_step_size(wind_directions=self.wind_directions) + else: # wind rose will have only a single wind direction, and we assume a wd_step of 1 + wd_step_current = 1.0 + + if len(self.turbulence_intensities) >= 2: + ti_step_current = self.turbulence_intensities[1] - self.turbulence_intensities[0] + else: # wind rose will have only a single turbulence intensity, + # and we assume a ti_step of 1 + ti_step_current = 1.0 + + # If either ws_step or wd_step or ti_step is None, set it to the current step if ws_step is None: - if len(self.wind_speeds) >= 2: - ws_step = self.wind_speeds[1] - self.wind_speeds[0] - else: # wind rose will have only a single wind speed, and we assume a ws_step of 1 - ws_step = 1.0 + ws_step = ws_step_current if wd_step is None: - if len(self.wind_directions) >= 2: - wd_step = self.wind_directions[1] - self.wind_directions[0] - else: # wind rose will have only a single wind direction, and we assume a wd_step of 1 - wd_step = 1.0 + wd_step = wd_step_current if ti_step is None: - if len(self.turbulence_intensities) >= 2: - ti_step = self.turbulence_intensities[1] - self.turbulence_intensities[0] - else: - ti_step = 1.0 + ti_step = ti_step_current - # Set up the new wind direction and wind speed and turbulence intensity bins - new_wind_directions = np.arange( - self.wind_directions[0], self.wind_directions[-1] + wd_step / 2.0, wd_step - ) - new_wind_speeds = np.arange( - self.wind_speeds[0], self.wind_speeds[-1] + ws_step / 2.0, ws_step - ) - new_turbulence_intensities = np.arange( - self.turbulence_intensities[0], self.turbulence_intensities[-1] + ti_step / 2.0, ti_step - ) + # Make sure upsampling is appropriate + if wd_step > wd_step_current: + raise ValueError( + f"Provided wd_step ({wd_step}) is larger than the current " + f" wind direction step size. ({wd_step_current} degrees)" + " Use the downsample method." + ) + + if ws_step > ws_step_current: + raise ValueError( + f"Provided ws_step ({ws_step}) is larger than " + f"the current wind speed step size. ({ws_step_current} m/s)" + " Use the downsample method." + ) + + if ti_step > ti_step_current: + raise ValueError( + f"Provided ti_step ({ti_step}) is larger than " + f"the current turbulence intensity step size. ({ti_step_current})" + " Use the downsample method." + ) + + # Get the current wind directions in adjacent from (ie 0, 2 358 -> -2, 0 ,2) + if len(self.wind_directions) >= 2: + current_wind_directions, adjacent_sort_index = make_wind_directions_adjacent( + self.wind_directions + ) + else: + current_wind_directions = self.wind_directions + adjacent_sort_index = np.arange(len(current_wind_directions)) + + # Identify the covered range of wind directions + wd_range_min_current = np.min(current_wind_directions) - wd_step_current / 2.0 + wd_range_max_current = np.max(current_wind_directions) + wd_step_current / 2.0 + + # Look for unlikely case where for example wind directions are 8, 28, ... 358 + if wd_range_max_current > 360: + # TODO: Handle this case without an error + raise ValueError( + "Cannot upsample wind rose for case when wind directions are defined" + " such that 0 degrees is included by bins to the left of 0 degrees. " + ) + + # Identify the new minimum wind direction + wd_min_new = wd_range_min_current + wd_step / 2.0 + wd_max_new = wd_range_max_current - wd_step / 2.0 + + new_wind_directions = np.arange(wd_min_new, wd_max_new + wd_step / 2.0, wd_step) + + # Set up the new wind speeds + ws_range_min_current = np.min(self.wind_speeds) - ws_step_current / 2.0 + ws_range_max_current = np.max(self.wind_speeds) + ws_step_current / 2.0 + ws_min_new = ws_range_min_current + ws_step / 2.0 + ws_max_new = ws_range_max_current - ws_step / 2.0 - # Set up for interpolation - wind_direction_column = self.wind_directions.copy() + # Force the new ws_min to 0 if negative + if ws_min_new < 0: + ws_min_new = 0.0 + + new_wind_speeds = np.arange(ws_min_new, ws_max_new + ws_step / 2.0, ws_step) + + # Set up the new turbulence intensities + ti_range_min_current = np.min(self.turbulence_intensities) - ti_step_current / 2.0 + ti_range_max_current = np.max(self.turbulence_intensities) + ti_step_current / 2.0 + ti_min_new = ti_range_min_current + ti_step / 2.0 + ti_max_new = ti_range_max_current - ti_step / 2.0 + + # Force the new ti_min to 0 if negative + if ti_min_new < 0: + ti_min_new = 0.0 + + new_turbulence_intensities = np.arange(ti_min_new, ti_max_new + ti_step / 2.0, ti_step) + + # Set up for interpolation by copying the current values + # and making sure they are sorted according to the adjacent wind directions + wind_direction_column = current_wind_directions.copy() wind_speed_column = self.wind_speeds.copy() turbulence_intensity_column = self.turbulence_intensities.copy() - freq_matrix = self.freq_table.copy() + freq_matrix = self.freq_table.copy()[adjacent_sort_index, :, :] if self.value_table is not None: - value_matrix = self.value_table.copy() + value_matrix = self.value_table.copy()[adjacent_sort_index, :, :] else: value_matrix = None - # If the first entry of wind_direction column is 0, and the last entry is not 360, then - # pad 360 to the end of the wind direction column and the last row of the ti_matrix and - # freq_matrix by copying the 0 entry - if len(wind_direction_column) > 1: - if wind_direction_column[0] == 0 and wind_direction_column[-1] != 360: - wind_direction_column = np.append(wind_direction_column, 360) - freq_matrix = np.concatenate( - (freq_matrix, freq_matrix[0, :, :][None, :, :]), axis=0 + # For padding wind directions, there are two cases to consider. In the first, + # say that the wind directions are 30, 40, 50. In this case it's important append + # 30 and 50 to 35 and 55 to ensure the interpolation covers the full range of data + # This is the case when wind directions doesn't cover the full range of possible + # degrees (0-360) + if np.abs((wd_range_min_current % 360.0) - (wd_range_max_current % 360.0)) > 1e-6: + wind_direction_column = np.append(wd_range_min_current, wind_direction_column) + freq_matrix = np.concatenate((freq_matrix[0, :, :][None, :, :], freq_matrix), axis=0) + if self.value_table is not None: + value_matrix = np.concatenate( + (value_matrix[0, :, :][None, :, :], value_matrix), axis=0 ) - if self.value_table is not None: - value_matrix = np.concatenate((value_matrix, value_matrix[0, :, :][None, :, :])) - - # If the wind_direction columns has length 1, then pad the wind_direction column with - # that value + and - 1 and expand the matrices accordingly - # (this avoids interpolation errors) - if len(wind_direction_column) == 1: - wind_direction_column = np.array( - [ - wind_direction_column[0] - 1, - wind_direction_column[0], - wind_direction_column[0] + 1, - ] - ) - freq_matrix = np.concatenate( - (freq_matrix, freq_matrix[0, :, :][None, :, :], freq_matrix[0, :, :][None, :, :]), - axis=0, - ) + + # Add the max range to the wind direction column + wind_direction_column = np.append(wind_direction_column, wd_range_max_current) + freq_matrix = np.concatenate((freq_matrix, freq_matrix[-1, :, :][None, :, :]), axis=0) if self.value_table is not None: value_matrix = np.concatenate( - ( - value_matrix, - value_matrix[0, :, :][None, :, :], - value_matrix[0, :, :][None, :, :], - ), - axis=0, + (value_matrix, value_matrix[-1, :, :][None, :, :]), axis=0 ) - # If the wind_speed column has length 1, then pad the wind_speed column with - # that value + and - 1 - # and expand the matrices accordingly (this avoids interpolation errors) - if len(wind_speed_column) == 1: - wind_speed_column = np.array( - [wind_speed_column[0] - 1, wind_speed_column[0], wind_speed_column[0] + 1] + # In the alternative case, where the wind directions cover the full range + # ie, 0, 10, 20 30, ...350, then need to place 0 at 360 and 350 at -10 + # to cover all interpolations + else: + # Pad wind direction column with min_wd + 360 + wind_direction_column = np.concatenate( + ( + [np.max(self.wind_directions) - 360.0], + wind_direction_column, + [np.min(self.wind_directions) + 360.0], + ) ) - freq_matrix = np.concatenate( - (freq_matrix, freq_matrix[:, 0, :][:, None, :], freq_matrix[:, 0, :][:, None, :]), - axis=1, + + # Pad the remaining with the appropriate value + freq_matrix = np.vstack( + (freq_matrix[-1, :, :][None, :, :], freq_matrix, freq_matrix[0, :, :][None, :, :]) ) if self.value_table is not None: - value_matrix = np.concatenate( + value_matrix = np.vstack( ( + value_matrix[-1, :, :][None, :, :], value_matrix, - value_matrix[:, 0, :][:, None, :], - value_matrix[:, 0, :][:, None, :], - ), - axis=1, + value_matrix[0, :, :][None, :, :], + ) ) - # If the turbulence_intensity column has length 1, then - # pad the turbulence_intensity column with - # that value + and - 1 - # and expand the matrices accordingly (this avoids interpolation errors) - if len(turbulence_intensity_column) == 1: - turbulence_intensity_column = np.array( - [ - turbulence_intensity_column[0] - 1, - turbulence_intensity_column[0], - turbulence_intensity_column[0] + 1, - ] + # Pad out the wind speeds + wind_speed_column = np.append(ws_range_min_current, wind_speed_column) + freq_matrix = np.concatenate((freq_matrix[:, 0, :][:, None, :], freq_matrix), axis=1) + if self.value_table is not None: + value_matrix = np.concatenate((value_matrix[:, 0, :][:, None, :], value_matrix), axis=1) + + wind_speed_column = np.append(wind_speed_column, ws_range_max_current) + freq_matrix = np.concatenate((freq_matrix, freq_matrix[:, -1, :][:, None, :]), axis=1) + if self.value_table is not None: + value_matrix = np.concatenate( + (value_matrix, value_matrix[:, -1, :][:, None, :]), axis=1 ) - freq_matrix = np.concatenate( - (freq_matrix, freq_matrix[:, :, 0][:, :, None], freq_matrix[:, :, 0][:, :, None]), - axis=2, + + # Pad out the turbulence intensities + turbulence_intensity_column = np.append(ti_range_min_current, turbulence_intensity_column) + freq_matrix = np.concatenate((freq_matrix[:, :, 0][:, :, None], freq_matrix), axis=2) + if self.value_table is not None: + value_matrix = np.concatenate((value_matrix[:, :, 0][:, :, None], value_matrix), axis=2) + + turbulence_intensity_column = np.append(turbulence_intensity_column, ti_range_max_current) + freq_matrix = np.concatenate((freq_matrix, freq_matrix[:, :, -1][:, :, None]), axis=2) + if self.value_table is not None: + value_matrix = np.concatenate( + (value_matrix, value_matrix[:, :, -1][:, :, None]), axis=2 ) + + # If wd_range_min_current is less than 0, then pad the wind_direction column with + # that value + 360 and expand the matrices accordingly (this avoids interpolation errors) + if wd_range_min_current < 0: + # Pad wind direction column with min_wd + 360 + wind_direction_column = np.append( + wind_direction_column, np.min(self.wind_directions) + 360.0 + ) + + # Pad the remaining with the appropriate value + freq_matrix = np.concatenate((freq_matrix, freq_matrix[0, :, :][None, :, :]), axis=0) if self.value_table is not None: value_matrix = np.concatenate( - ( - value_matrix, - value_matrix[:, :, 0][:, :, None], - value_matrix[:, :, 0][:, :, None], - ), - axis=2, + (value_matrix, value_matrix[0, :, :][None, :, :]), axis=0 ) # Grid wind directions and wind speeds to match the ti_matrix and freq_matrix when flattened @@ -1454,6 +1655,17 @@ def upsample( else: new_value_matrix = None + # Wrap new_wind_directions to 0-360 + new_wind_directions = new_wind_directions % 360 + + # Finally sort new_wind_directions, and re-order new_ti_matrix, new_freq_matrix + # and new_value_matrix accordingly + sort_indices = np.argsort(new_wind_directions) + new_wind_directions = new_wind_directions[sort_indices] + new_freq_matrix = new_freq_matrix[sort_indices, :, :] + if self.value_table is not None: + new_value_matrix = new_value_matrix[sort_indices, :, :] + # Create the resampled wind rose resampled_wind_rose = WindTIRose( new_wind_directions, @@ -1551,7 +1763,7 @@ def plot( rects = [] freq_table_sub = freq_table[wd_idx, :].flatten() for var_idx, ws in reversed(list(enumerate(var_bins))): - plot_val = freq_table_sub[:var_idx + 1].sum() + plot_val = freq_table_sub[: var_idx + 1].sum() rects.append( ax.bar( np.radians(wd), @@ -1937,7 +2149,7 @@ def __init__( ): raise ValueError( "Only one of heterogeneous_inflow_config_by_wd, " - +"heterogeneous_map, and heterogeneous_inflow_config can be not None." + + "heterogeneous_map, and heterogeneous_inflow_config can be not None." ) # if heterogeneous_inflow_config is not None, then the speed_multipliers diff --git a/tests/reg_tests/random_search_layout_opt_regression_test.py b/tests/reg_tests/random_search_layout_opt_regression_test.py index edc3b4478..d5f3313de 100644 --- a/tests/reg_tests/random_search_layout_opt_regression_test.py +++ b/tests/reg_tests/random_search_layout_opt_regression_test.py @@ -45,7 +45,7 @@ def test_random_search_layout_opt(sample_inputs_fixture): fmodel = FlorisModel(sample_inputs_fixture.core) wd_array = np.arange(0, 360.0, 5.0) - ws_array = 8.0 * np.ones_like(wd_array) + ws_array = np.array([8.0]) wind_rose = WindRose( wind_directions=wd_array, diff --git a/tests/utilities_unit_test.py b/tests/utilities_unit_test.py index f58ca5c64..93e348756 100644 --- a/tests/utilities_unit_test.py +++ b/tests/utilities_unit_test.py @@ -6,7 +6,9 @@ import pytest from floris.utilities import ( + check_and_identify_step_size, cosd, + make_wind_directions_adjacent, nested_get, nested_set, reverse_rotate_coordinates_rel_west, @@ -77,6 +79,66 @@ def test_wind_delta(): assert wind_delta(-10.0) == 80.0 assert wind_delta(-100.0) == 350.0 +def test_make_wind_directions_adjacent(): + + test_conditions = [ + [[0.0, 10.0], [0.0, 10.0]], + [[0.0, 350.], [-10., 0.]], + [[20.0, 25., 30.], [20.0, 25., 30.]], + [[0.0, 350., 355., ], [-10., -5, 0]], + [[0 ,2, 358], [-2, 0, 2]], + [[0, 1, 359], [-1, 0, 1]], + [np.arange(0,360,1), np.arange(0,360,1)], + [sorted(np.arange(330,390,1)%360),np.arange(-30,30,1) ], + ] + + for test_cond in test_conditions: + wind_directions = np.array(test_cond[0]) + expected_wind_directions = np.array(test_cond[1]) + + wind_directions_adjacent, sort_indices = make_wind_directions_adjacent(wind_directions) + np.testing.assert_array_equal(wind_directions_adjacent, expected_wind_directions) + np.testing.assert_array_equal(wind_directions[sort_indices]%360.0, + wind_directions_adjacent%360.0) + +def test_check_and_identify_step_size(): + # First set up a matrix of input directions, upsampling steps and expected ouputs + test_conditions = [ + [[270.0, 280.0], 10.0], + [[0.0, 4.0], 4.0], + [[0.0, 358.0], 2.0], + [[0, 358], 2], + [[10, 20, 30], 10], + [[0, 10, 350], 10], + [[0,1,359],1.0], + [[0,356,358],2.0], + [[4, 8, 12, 16], 4], + [[0, 90, 180, 270], 90], + [[0, 5, 10,355], 5], + [np.arange(0,360,1), 1], + [sorted(np.arange(330,390,1)%360), 1], + ] + + for test_cond in test_conditions: + wind_directions = np.array(test_cond[0]) + expected_step = test_cond[1] + + step_size = check_and_identify_step_size(wind_directions) + assert step_size == expected_step + + +def test_check_and_identify_step_size_value_error(): + # First set up a matrix of input directions, upsampling steps and expected ouputs + test_conditions = [ + [1,3,7], # Inconsistent step size + [4, 3, 2], # Decreasing + [5, 10, 15, 45], #Inconsistent step not connected to a wrapping + ] + + for wind_directions in test_conditions: + with pytest.raises(ValueError): + check_and_identify_step_size(wind_directions) + def test_rotate_coordinates_rel_west(): coordinates = np.array(list(zip(X_COORDS, Y_COORDS, Z_COORDS))) diff --git a/tests/wind_data_integration_test.py b/tests/wind_data_integration_test.py index a7f10b241..02d2a7ced 100644 --- a/tests/wind_data_integration_test.py +++ b/tests/wind_data_integration_test.py @@ -69,6 +69,18 @@ def test_wind_rose_init(): The wind directions and wind speeds can have any length, but the frequency array must have shape (n wind directions, n wind speeds) """ + + # Test that passing in unevenly spaced wind directions or wind speeds raises an error + with pytest.raises(ValueError): + WindRose(np.array([270, 280, 290, 310]), np.array([6, 7]), 0.06) + + with pytest.raises(ValueError): + WindRose(np.array([270, 280, 290]), np.array([6, 7, 10]), 0.06) + + # Test that passing in decreasing wind directions raises an error + with pytest.raises(ValueError): + WindRose(np.array([290, 280, 270]), np.array([6, 7]), 0.06) + wind_directions = np.array([270, 280, 290]) wind_speeds = np.array([6, 7]) @@ -222,19 +234,107 @@ def test_wind_rose_downsample(): # Test that aggregate function returns identical result to downsample function wind_rose_aggregate = wind_rose.aggregate(wd_step=5.0, inplace=False) wind_rose_downsample = wind_rose.downsample(wd_step=5.0, inplace=False) - np.testing.assert_allclose(wind_rose_aggregate.freq_table_flat, - wind_rose_downsample.freq_table_flat) + np.testing.assert_allclose( + wind_rose_aggregate.freq_table_flat, wind_rose_downsample.freq_table_flat + ) -def test_upsample(): +def test_wind_rose_upsample_directions(): + # Test wind direction upsampling under a range of conditions + + # First set up a matrix of input directions, upsampling steps and expected ouputs + test_conditions = [ + [[270.0, 280.0], 5.0, [267.5, 272.5, 277.5, 282.5]], + [[10, 12, 14.0], 1.0, [9.5, 10.5, 11.5, 12.5, 13.5, 14.5]], + [[0.0, 90.0, 180.0, 270.0], 1.0, np.arange(0.5, 360, 1.0)], + [[0.0, 10., 20.,], 5.0, [2.5, 7.5,12.5, 17.5, 22.5, 357.5]], + ] + + for test_cond in test_conditions: + wind_directions = np.array(test_cond[0]) + wd_step = test_cond[1] + expected_directions = np.array(test_cond[2]) + + # Single wind speed case + wind_speeds = np.array([8.0]) + freq_table = np.ones((len(wind_directions), len(wind_speeds))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones((len(expected_directions), len(wind_speeds))) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) + wind_rose_resample = wind_rose.upsample(wd_step=wd_step) + + np.testing.assert_allclose(wind_rose_resample.wind_directions, expected_directions) + np.testing.assert_allclose(wind_rose_resample.wind_speeds, wind_speeds) + np.testing.assert_allclose(wind_rose_resample.freq_table, expected_freq_table) + + # Two wind speed case + wind_speeds = np.array([8.0, 10.0]) + freq_table = np.ones((len(wind_directions), len(wind_speeds))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones((len(expected_directions), len(wind_speeds))) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) + wind_rose_resample = wind_rose.upsample(wd_step=wd_step) + + np.testing.assert_allclose(wind_rose_resample.wind_directions, expected_directions) + np.testing.assert_allclose(wind_rose_resample.wind_speeds, wind_speeds) + np.testing.assert_allclose(wind_rose_resample.freq_table, expected_freq_table) + + +def test_wind_rose_upsample_speeds(): + # Test wind speed upsampling under a range of conditions + + # First set up a matrix of input directions, upsampling steps and expected outputs + test_conditions = [ + [[5, 10.0], 1.0, [3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]], + [np.arange(0, 25, 2.0), 1.0, np.arange(0, 25, 1.0)], + ] + + for test_cond in test_conditions: + wind_speeds = np.array(test_cond[0]) + ws_step = test_cond[1] + expected_speeds = np.array(test_cond[2]) + + # Single wind direction case + wind_directions = np.array([270.0]) + freq_table = np.ones((len(wind_directions), len(wind_speeds))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones((len(wind_directions), len(expected_speeds))) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) + wind_rose_resample = wind_rose.upsample(ws_step=ws_step) + + np.testing.assert_allclose(wind_rose_resample.wind_directions, wind_directions) + np.testing.assert_allclose(wind_rose_resample.wind_speeds, expected_speeds) + np.testing.assert_allclose(wind_rose_resample.freq_table, expected_freq_table) + + # Two wind direction case + wind_directions = np.array([270.0, 280.0]) + freq_table = np.ones((len(wind_directions), len(wind_speeds))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones((len(wind_directions), len(expected_speeds))) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) + wind_rose_resample = wind_rose.upsample(ws_step=ws_step) + + np.testing.assert_allclose(wind_rose_resample.wind_directions, wind_directions) + np.testing.assert_allclose(wind_rose_resample.wind_speeds, expected_speeds) + np.testing.assert_allclose(wind_rose_resample.freq_table, expected_freq_table) + + +def test_wind_rose_upsample(): + # Test that interpolating without specifying new steps returns the same wind rose wind_directions = np.array([0, 2, 4, 6, 8, 10]) wind_speeds = np.array([8, 10]) freq_table = np.ones((6, 2)) freq_table = freq_table / np.sum(freq_table) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) - - # Test that interpolating without specifying new steps returns the same wind_rose_resample = wind_rose.upsample(inplace=False) np.testing.assert_allclose(wind_rose.wind_directions, wind_rose_resample.wind_directions) @@ -247,79 +347,211 @@ def test_upsample(): ti_table = np.array([[0.06, 0.06], [0.07, 0.07]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.upsample( - wd_step=5.0, ws_step=1.0, inplace=False - ) + wind_rose_resample = wind_rose.upsample(wd_step=5.0, ws_step=1.0, inplace=False) # Check that the resample ti_table is correct - np.testing.assert_allclose(wind_rose_resample.wind_directions, [270, 275, 280]) + np.testing.assert_allclose(wind_rose_resample.wind_directions, [267.5, 272.5, 277.5, 282.5]) np.testing.assert_allclose(wind_rose_resample.wind_speeds, [6, 7]) np.testing.assert_allclose( - wind_rose_resample.ti_table, np.array([[0.06, 0.06], [0.065, 0.065], [0.07, 0.07]]) + wind_rose_resample.ti_table, + np.array([[0.06, 0.06], [0.0625, 0.0625], [0.0675, 0.0675], [0.07, 0.07]]), ) # Test interpolating frequency along the wind speed axis freq_table = np.array([[1 / 6, 2 / 6], [1 / 6, 2 / 6]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) - wind_rose_resample = wind_rose.upsample( - wd_step=10.0, ws_step=0.5, inplace=False - ) + wind_rose_resample = wind_rose.upsample(wd_step=10.0, ws_step=0.5, inplace=False) - freq_table_expected = np.array([[1 / 6, 1.5 / 6, 2 / 6], [1 / 6, 1.5 / 6, 2 / 6]]) + freq_table_expected = np.array( + [[1 / 6, 1.25 / 6, 1.75 / 6, 2 / 6], [1 / 6, 1.25 / 6, 1.75 / 6, 2 / 6]] + ) freq_table_expected = freq_table_expected / np.sum(freq_table_expected) # Check that the resample freq_table is correct np.testing.assert_allclose(wind_rose_resample.wind_directions, [270, 280]) - np.testing.assert_allclose(wind_rose_resample.wind_speeds, [6, 6.5, 7]) + np.testing.assert_allclose(wind_rose_resample.wind_speeds, [5.75, 6.25, 6.75, 7.25]) np.testing.assert_allclose(wind_rose_resample.freq_table, freq_table_expected) # Test resampling both wind speed and wind directions ti_table = np.array([[0.01, 0.02], [0.03, 0.04]]) wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.upsample( - wd_step=5.0, ws_step=0.5, inplace=False - ) + wind_rose_resample = wind_rose.upsample(wd_step=5.0, ws_step=0.5, inplace=False) # Check that the resample ti_table is correct - ti_table_expected = np.array([[0.01, 0.015, 0.02], [0.02, 0.025, 0.03], [0.03, 0.035, 0.04]]) - np.testing.assert_allclose(wind_rose_resample.wind_directions, [270, 275, 280]) - np.testing.assert_allclose(wind_rose_resample.wind_speeds, [6, 6.5, 7]) - np.testing.assert_allclose(wind_rose_resample.ti_table, ti_table_expected) + np.testing.assert_allclose(wind_rose_resample.wind_directions, [267.5, 272.5, 277.5, 282.5]) + np.testing.assert_allclose(wind_rose_resample.wind_speeds, [5.75, 6.25, 6.75, 7.25]) # Test the using the old function name returns the same result wind_rose_resample_old = wind_rose.resample_by_interpolation( wd_step=5.0, ws_step=0.5, inplace=False ) - np.testing.assert_allclose(wind_rose_resample.wind_directions, - wind_rose_resample_old.wind_directions) + np.testing.assert_allclose( + wind_rose_resample.wind_directions, wind_rose_resample_old.wind_directions + ) np.testing.assert_allclose(wind_rose_resample.wind_speeds, wind_rose_resample_old.wind_speeds) np.testing.assert_allclose(wind_rose_resample.ti_table, wind_rose_resample_old.ti_table) np.testing.assert_allclose(wind_rose_resample.freq_table, wind_rose_resample_old.freq_table) - # Test resampling wind directions when wind speeds is 1D - wind_directions = np.array([270, 280]) - wind_speeds = np.array([6]) - ti_table = np.array([[0.06], [0.07]]) - wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.upsample(wd_step=5.0, inplace=False) +def test_wind_rose_upsample_wrapping(): - # Check that the resample ti_table is correct - np.testing.assert_allclose(wind_rose_resample.wind_directions, [270, 275, 280]) - np.testing.assert_allclose(wind_rose_resample.wind_speeds, [6]) - np.testing.assert_allclose(wind_rose_resample.ti_table, np.array([[0.06], [0.065], [0.07]])) + # Test that interpolating without specifying new steps returns the same wind rose + wind_directions = np.array([0, 10, 350]) + wind_speeds = np.array([8]) + freq_table = np.ones((3, 1)) + freq_table[-1:, :] = 0.0 + freq_table[1, :] = 2.0 + freq_table = freq_table / np.sum(freq_table) - # Test resampling wind speeds when wind directions is 1D - wind_directions = np.array([270]) - wind_speeds = np.array([6, 7]) - ti_table = np.array([[0.06, 0.07]]) - wind_rose = WindRose(wind_directions, wind_speeds, ti_table=ti_table) - wind_rose_resample = wind_rose.upsample(ws_step=0.5, inplace=False) + wind_rose = WindRose(wind_directions, wind_speeds, ti_table=0.06, freq_table=freq_table) + wind_rose_resample = wind_rose.upsample(wd_step = 5.0, inplace=False) - # Check that the resample ti_table is correct - np.testing.assert_allclose(wind_rose_resample.wind_directions, [270]) - np.testing.assert_allclose(wind_rose_resample.wind_speeds, [6, 6.5, 7]) - np.testing.assert_allclose(wind_rose_resample.ti_table, np.array([[0.06, 0.065, 0.07]])) + np.testing.assert_allclose(wind_rose_resample.wind_directions, + [2.5, 7.5, 12.5, 347.5, 352.5, 357.5]) + np.testing.assert_allclose(wind_rose.wind_speeds, wind_rose_resample.wind_speeds) + + expected_freq_table = np.ones((6, 1)) + expected_freq_table[0, :] = 1.25 + expected_freq_table[1, :] = 1.75 + expected_freq_table[2, :] = 2.0 + expected_freq_table[3, :] = 0.0 + expected_freq_table[4, :] = 0.25 + expected_freq_table[5, :] = 0.75 + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + + np.testing.assert_allclose(wind_rose_resample.freq_table, expected_freq_table) + + + +def test_wind_ti_rose_upsample_directions(): + # Test wind direction upsampling under a range of conditions + + # First set up a matrix of input directions, upsampling steps and expected ouputs + test_conditions = [ + [[270.0, 280.0], 5.0, [267.5, 272.5, 277.5, 282.5]], + [[10, 12, 14.0], 1.0, [9.5, 10.5, 11.5, 12.5, 13.5, 14.5]], + [[0.0, 90.0, 180.0, 270.0], 1.0, np.arange(0.5, 360, 1.0)], + ] + + for test_cond in test_conditions: + wind_directions = np.array(test_cond[0]) + wd_step = test_cond[1] + expected_directions = np.array(test_cond[2]) + + # Single wind speed / ti case + wind_speeds = np.array([8.0]) + turbulence_intensities = np.array([0.06]) + freq_table = np.ones((len(wind_directions), len(wind_speeds), len(turbulence_intensities))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones( + (len(expected_directions), len(wind_speeds), len(turbulence_intensities)) + ) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + wind_ti_rose = WindTIRose( + wind_directions, + wind_speeds, + turbulence_intensities=turbulence_intensities, + freq_table=freq_table, + ) + wind_ti_rose_resample = wind_ti_rose.upsample(wd_step=wd_step) + + np.testing.assert_allclose(wind_ti_rose_resample.wind_directions, expected_directions) + np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, wind_speeds) + np.testing.assert_allclose( + wind_ti_rose_resample.turbulence_intensities, turbulence_intensities + ) + np.testing.assert_allclose(wind_ti_rose_resample.freq_table, expected_freq_table) + + # Multiple wind speed / ti case + wind_speeds = np.array([8.0, 10.0]) + turbulence_intensities = np.array([0.06, 0.07]) + freq_table = np.ones((len(wind_directions), len(wind_speeds), len(turbulence_intensities))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones( + (len(expected_directions), len(wind_speeds), len(turbulence_intensities)) + ) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + wind_ti_rose = WindTIRose( + wind_directions, + wind_speeds, + turbulence_intensities=turbulence_intensities, + freq_table=freq_table, + ) + wind_ti_rose_resample = wind_ti_rose.upsample(wd_step=wd_step) + + np.testing.assert_allclose(wind_ti_rose_resample.wind_directions, expected_directions) + np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, wind_speeds) + np.testing.assert_allclose( + wind_ti_rose_resample.turbulence_intensities, turbulence_intensities + ) + np.testing.assert_allclose(wind_ti_rose_resample.freq_table, expected_freq_table) + + +def test_wind_ti_rose_upsample_speeds(): + # Test wind speed upsampling under a range of conditions + + # First set up a matrix of input directions, upsampling steps and expected ouputs + test_conditions = [ + [[5, 10.0], 1.0, [3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0]], + [np.arange(0, 25, 2.0), 1.0, np.arange(0, 25, 1.0)], + ] + + for test_cond in test_conditions: + wind_speeds = np.array(test_cond[0]) + ws_step = test_cond[1] + expected_speeds = np.array(test_cond[2]) + + # Single wind direction / ti case + wind_directions = np.array([270.0]) + turbulence_intensities = np.array([0.06]) + freq_table = np.ones((len(wind_directions), len(wind_speeds), len(turbulence_intensities))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones( + (len(wind_directions), len(expected_speeds), len(turbulence_intensities)) + ) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + + wind_ti_rose = WindTIRose( + wind_directions, + wind_speeds, + turbulence_intensities=turbulence_intensities, + freq_table=freq_table, + ) + wind_ti_rose_resample = wind_ti_rose.upsample(ws_step=ws_step) + + np.testing.assert_allclose(wind_ti_rose_resample.wind_directions, wind_directions) + np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, expected_speeds) + np.testing.assert_allclose( + wind_ti_rose_resample.turbulence_intensities, turbulence_intensities + ) + np.testing.assert_allclose(wind_ti_rose_resample.freq_table, expected_freq_table) + + # Multiple wind direction / ti case + wind_directions = np.array([270.0, 280.0]) + turbulence_intensities = np.array([0.06, 0.07]) + freq_table = np.ones((len(wind_directions), len(wind_speeds), len(turbulence_intensities))) + freq_table = freq_table / np.sum(freq_table) + expected_freq_table = np.ones( + (len(wind_directions), len(expected_speeds), len(turbulence_intensities)) + ) + expected_freq_table = expected_freq_table / np.sum(expected_freq_table) + wind_ti_rose = WindTIRose( + wind_directions, + wind_speeds, + turbulence_intensities=turbulence_intensities, + freq_table=freq_table, + ) + wind_ti_rose_resample = wind_ti_rose.upsample(ws_step=ws_step) + + np.testing.assert_allclose(wind_ti_rose_resample.wind_directions, wind_directions) + np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, expected_speeds) + np.testing.assert_allclose( + wind_ti_rose_resample.turbulence_intensities, turbulence_intensities + ) + np.testing.assert_allclose(wind_ti_rose_resample.freq_table, expected_freq_table) def test_upsample_ti_rose(): @@ -345,7 +577,7 @@ def test_upsample_ti_rose(): # Test interpolating frequency along the wind speed axis wind_directions = np.array([270, 280]) - wind_speeds = np.array([6, 7]) + wind_speeds = np.array([6, 8]) turbulence_intensities = np.array([0.05, 0.1]) freq_table = np.ones((2, 2, 2)) freq_table[:, 1, :] = 2.0 @@ -355,42 +587,51 @@ def test_upsample_ti_rose(): ) wind_ti_rose_resample = wind_ti_rose.upsample( - wd_step=10.0, ws_step=0.5, ti_step=0.05, inplace=False + wd_step=10.0, ws_step=1.0, ti_step=0.05, inplace=False ) - freq_table_expected = np.ones((2, 3, 2)) - freq_table_expected[:, 2, :] = 2.0 - freq_table_expected[:, 1, :] = 1.5 + freq_table_expected = np.ones((2, 4, 2)) + freq_table_expected[:, 0, :] = 1.0 + freq_table_expected[:, 1, :] = 1.25 + freq_table_expected[:, 2, :] = 1.75 + freq_table_expected[:, 3, :] = 2.0 freq_table_expected = freq_table_expected / np.sum(freq_table_expected) # Check that the resample freq_table is correct np.testing.assert_allclose(wind_ti_rose_resample.wind_directions, [270, 280]) - np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, [6, 6.5, 7]) + np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, [5.5, 6.5, 7.5, 8.5]) np.testing.assert_allclose(wind_ti_rose_resample.turbulence_intensities, [0.05, 0.1]) np.testing.assert_allclose(wind_ti_rose_resample.freq_table, freq_table_expected) - # # Test resampling wind directions when wind speeds and TI are 1D - wind_directions = np.array([270, 280]) - wind_speeds = np.array([6]) - turbulence_intensities = np.array([0.05]) + + # Test interpolating frequency along the wind direction axis with wrapping + wind_directions = np.array([0, 350]) + wind_speeds = np.array([7]) + turbulence_intensities = np.array([0.1]) freq_table = np.ones((2, 1, 1)) freq_table[1, :, :] = 2.0 freq_table = freq_table / np.sum(freq_table) wind_ti_rose = WindTIRose( wind_directions, wind_speeds, turbulence_intensities, freq_table=freq_table ) - wind_ti_rose_resample = wind_ti_rose.upsample(wd_step=5.0, inplace=False) - excepted_freq_table = np.ones((3, 1, 1)) - excepted_freq_table[1, :, :] = 1.5 - excepted_freq_table[2, :, :] = 2.0 - excepted_freq_table = excepted_freq_table / np.sum(excepted_freq_table) + wind_ti_rose_resample = wind_ti_rose.upsample( + wd_step=5.0, inplace=False + ) - # Check that the resample ti_table is correct - np.testing.assert_allclose(wind_ti_rose_resample.wind_directions, [270, 275, 280]) - np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, [6]) - np.testing.assert_allclose(wind_ti_rose_resample.turbulence_intensities, [0.05]) - np.testing.assert_allclose(wind_ti_rose_resample.freq_table, excepted_freq_table) + freq_table_expected = np.ones((4, 1, 1)) + freq_table_expected[0, :, :] = 1.0 + freq_table_expected[1, :, :] = 2.0 + freq_table_expected[2, :, :] = 1.75 + freq_table_expected[3, :, :] = 1.25 + + freq_table_expected = freq_table_expected / np.sum(freq_table_expected) + + # Check that the resample freq_table is correct + np.testing.assert_allclose(wind_ti_rose_resample.wind_directions, [ 2.5, 347.5, 352.5, 357.5]) + np.testing.assert_allclose(wind_ti_rose_resample.wind_speeds, [7.0]) + np.testing.assert_allclose(wind_ti_rose_resample.turbulence_intensities, [0.1]) + np.testing.assert_allclose(wind_ti_rose_resample.freq_table, freq_table_expected) def test_wrap_wind_directions_near_360(): @@ -679,7 +920,6 @@ def test_time_series_to_WindTIRose(): np.testing.assert_almost_equal(freq_table[0, 1, :], [0, 0]) - def test_gen_heterogeneous_inflow_config(): wind_directions = np.array([259.8, 260.2, 260.3, 260.1, 270.0]) wind_speeds = 8.0 @@ -709,9 +949,7 @@ def test_gen_heterogeneous_inflow_config(): expected_result = np.array([[1.0, 1.0], [1.0, 1.0], [1.0, 1.0], [1.0, 1.0], [1.1, 1.2]]) np.testing.assert_allclose(heterogeneous_inflow_config["speed_multipliers"], expected_result) - np.testing.assert_allclose( - heterogeneous_inflow_config["x"], heterogeneous_inflow_config["x"] - ) + np.testing.assert_allclose(heterogeneous_inflow_config["x"], heterogeneous_inflow_config["x"]) def test_heterogeneous_inflow_config_by_wd(): @@ -762,14 +1000,7 @@ def test_heterogeneous_inflow_config_by_wd(): def test_gen_heterogeneous_inflow_config_with_wind_directions_and_wind_speeds(): heterogeneous_map_config = { - "speed_multipliers": np.array( - [ - [0.9, 0.9], - [1.0, 1.0], - [1.1, 1.2], - [1.2, 1.3] - ] - ), + "speed_multipliers": np.array([[0.9, 0.9], [1.0, 1.0], [1.1, 1.2], [1.2, 1.3]]), "wind_directions": np.array([250, 260, 250, 260]), "wind_speeds": np.array([5, 5, 10, 10]), "x": np.array([0, 1000]), @@ -777,27 +1008,21 @@ def test_gen_heterogeneous_inflow_config_with_wind_directions_and_wind_speeds(): } time_series = TimeSeries( - wind_directions = np.array([259.8, 260.2, 260.3, 260.1, 200.0]), - wind_speeds = np.array([4, 9, 4, 9, 4]), + wind_directions=np.array([259.8, 260.2, 260.3, 260.1, 200.0]), + wind_speeds=np.array([4, 9, 4, 9, 4]), turbulence_intensities=0.06, heterogeneous_map=heterogeneous_map_config, ) (_, _, _, _, _, heterogeneous_inflow_config) = time_series.unpack() - expected_result = np.array([[1.0, 1.0],[1.2, 1.3],[1.0, 1.0],[1.2, 1.3],[0.9, 0.9]]) + expected_result = np.array([[1.0, 1.0], [1.2, 1.3], [1.0, 1.0], [1.2, 1.3], [0.9, 0.9]]) np.testing.assert_allclose(heterogeneous_inflow_config["speed_multipliers"], expected_result) + def test_gen_heterogeneous_inflow_config_with_wind_directions_and_wind_speeds_wind_rose(): heterogeneous_map_config = { - "speed_multipliers": np.array( - [ - [0.9, 0.9], - [1.0, 1.0], - [1.1, 1.2], - [1.2, 1.3] - ] - ), + "speed_multipliers": np.array([[0.9, 0.9], [1.0, 1.0], [1.1, 1.2], [1.2, 1.3]]), "wind_directions": np.array([250, 260, 250, 260]), "wind_speeds": np.array([5, 5, 10, 10]), "x": np.array([0, 1000]), @@ -805,8 +1030,8 @@ def test_gen_heterogeneous_inflow_config_with_wind_directions_and_wind_speeds_wi } wind_rose = WindRose( - wind_directions = np.array([250.0, 260.]), - wind_speeds = np.array([9.0]), + wind_directions=np.array([250.0, 260.0]), + wind_speeds=np.array([9.0]), ti_table=0.06, heterogeneous_map=heterogeneous_map_config, ) @@ -816,6 +1041,7 @@ def test_gen_heterogeneous_inflow_config_with_wind_directions_and_wind_speeds_wi expected_result = np.array([[1.1, 1.2], [1.2, 1.3]]) np.testing.assert_allclose(heterogeneous_inflow_config["speed_multipliers"], expected_result) + def test_read_csv_long(): # Read in the wind rose data from the csv file From 4004c03aae1ec89873d37ab09f0c3e4fb8df4fd1 Mon Sep 17 00:00:00 2001 From: misi9170 Date: Mon, 15 Jul 2024 14:39:20 -0600 Subject: [PATCH 10/11] Update version to 4.1.1 --- README.md | 4 ++-- floris/version.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 961a9bce8..40ffa77ad 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ FLORIS is a controls-focused wind farm simulation software incorporating steady-state engineering wake models into a performance-focused Python framework. It has been in active development at NREL since 2013 and the latest -release is [FLORIS v4.1](https://github.com/NREL/floris/releases/latest). +release is [FLORIS v4.1.1](https://github.com/NREL/floris/releases/latest). Online documentation is available at https://nrel.github.io/floris. The software is in active development and engagement with the development team @@ -79,7 +79,7 @@ PACKAGE CONTENTS wind_data VERSION - 4.1 + 4.1.1 FILE ~/floris/floris/__init__.py diff --git a/floris/version.py b/floris/version.py index 7d5c902e7..627a3f43a 100644 --- a/floris/version.py +++ b/floris/version.py @@ -1 +1 @@ -4.1 +4.1.1 From d2c27ca40fc6381ea36820f7655a20ba6d61c66a Mon Sep 17 00:00:00 2001 From: misi9170 <39596329+misi9170@users.noreply.github.com> Date: Thu, 18 Jul 2024 00:07:32 -0400 Subject: [PATCH 11/11] Wind direction resampling 2 (#946) * Update remaining double appends to concats. * Fix comments. * Ruff. * Remove redundant code block --------- Co-authored-by: Paul --- floris/wind_data.py | 126 +++++++++++++++++++++++++------------------- 1 file changed, 73 insertions(+), 53 deletions(-) diff --git a/floris/wind_data.py b/floris/wind_data.py index 316495a48..deb066fbe 100644 --- a/floris/wind_data.py +++ b/floris/wind_data.py @@ -237,7 +237,7 @@ def __init__( # If heterogeneous_inflow_config_by_wd is not None, then create a HeterogeneousMap object # using the dictionary if heterogeneous_inflow_config_by_wd is not None: - # TODO: In future, add deprectation warning for this parameter here + # TODO: In future, add deprecation warning for this parameter here self.heterogeneous_map = HeterogeneousMap(**heterogeneous_inflow_config_by_wd) @@ -597,17 +597,27 @@ def upsample(self, wd_step=None, ws_step=None, method="linear", inplace=False): value_matrix = np.vstack((value_matrix[-1, :], value_matrix, value_matrix[0, :])) # Pad out the wind speeds - wind_speed_column = np.append(ws_range_min_current, wind_speed_column) - ti_matrix = np.hstack((ti_matrix[:, 0].reshape((-1, 1)), ti_matrix)) - freq_matrix = np.hstack((freq_matrix[:, 0].reshape((-1, 1)), freq_matrix)) - if self.value_table is not None: - value_matrix = np.hstack((value_matrix[:, 0].reshape((-1, 1)), value_matrix)) - - wind_speed_column = np.append(wind_speed_column, ws_range_max_current) - ti_matrix = np.hstack((ti_matrix, ti_matrix[:, -1].reshape((-1, 1)))) - freq_matrix = np.hstack((freq_matrix, freq_matrix[:, -1].reshape((-1, 1)))) + wind_speed_column = np.concatenate( + ( + np.array([ws_range_min_current]), + wind_speed_column, + np.array([ws_range_max_current]) + ) + ) + ti_matrix = np.hstack( + (ti_matrix[:, 0].reshape((-1, 1)), ti_matrix, ti_matrix[:, -1].reshape((-1, 1))) + ) + freq_matrix = np.hstack( + (freq_matrix[:, 0].reshape((-1, 1)), freq_matrix, freq_matrix[:, -1].reshape((-1, 1))) + ) if self.value_table is not None: - value_matrix = np.hstack((value_matrix, value_matrix[:, -1].reshape((-1, 1)))) + value_matrix = np.hstack( + ( + value_matrix[:, 0].reshape((-1, 1)), + value_matrix, + value_matrix[:, -1].reshape((-1, 1)) + ) + ) # Grid wind directions and wind speeds to match the ti_matrix and freq_matrix when flattened wd_grid, ws_grid = np.meshgrid(wind_direction_column, wind_speed_column, indexing="ij") @@ -1540,19 +1550,25 @@ def upsample(self, wd_step=None, ws_step=None, ti_step=None, method="linear", in # This is the case when wind directions doesn't cover the full range of possible # degrees (0-360) if np.abs((wd_range_min_current % 360.0) - (wd_range_max_current % 360.0)) > 1e-6: - wind_direction_column = np.append(wd_range_min_current, wind_direction_column) - freq_matrix = np.concatenate((freq_matrix[0, :, :][None, :, :], freq_matrix), axis=0) - if self.value_table is not None: - value_matrix = np.concatenate( - (value_matrix[0, :, :][None, :, :], value_matrix), axis=0 + wind_direction_column = np.concatenate( + ( + np.array([wd_range_min_current]), + wind_direction_column, + np.array([wd_range_max_current]) ) - - # Add the max range to the wind direction column - wind_direction_column = np.append(wind_direction_column, wd_range_max_current) - freq_matrix = np.concatenate((freq_matrix, freq_matrix[-1, :, :][None, :, :]), axis=0) + ) + freq_matrix = np.concatenate( + (freq_matrix[0, :, :][None, :, :], freq_matrix, freq_matrix[-1, :, :][None, :, :]), + axis=0 + ) if self.value_table is not None: value_matrix = np.concatenate( - (value_matrix, value_matrix[-1, :, :][None, :, :]), axis=0 + ( + value_matrix[0, :, :][None, :, :], + value_matrix, + value_matrix[-1, :, :][None, :, :] + ), + axis=0 ) # In the alternative case, where the wind directions cover the full range @@ -1582,47 +1598,51 @@ def upsample(self, wd_step=None, ws_step=None, ti_step=None, method="linear", in ) # Pad out the wind speeds - wind_speed_column = np.append(ws_range_min_current, wind_speed_column) - freq_matrix = np.concatenate((freq_matrix[:, 0, :][:, None, :], freq_matrix), axis=1) - if self.value_table is not None: - value_matrix = np.concatenate((value_matrix[:, 0, :][:, None, :], value_matrix), axis=1) - - wind_speed_column = np.append(wind_speed_column, ws_range_max_current) - freq_matrix = np.concatenate((freq_matrix, freq_matrix[:, -1, :][:, None, :]), axis=1) + wind_speed_column = np.concatenate( + ( + np.array([ws_range_min_current]), + wind_speed_column, + np.array([ws_range_max_current]) + ) + ) + freq_matrix = np.concatenate( + (freq_matrix[:, 0, :][:, None, :], freq_matrix, freq_matrix[:, -1, :][:, None, :]), + axis=1 + ) if self.value_table is not None: value_matrix = np.concatenate( - (value_matrix, value_matrix[:, -1, :][:, None, :]), axis=1 + ( + value_matrix[:, 0, :][:, None, :], + value_matrix, + value_matrix[:, -1, :][:, None, :] + ), + axis=1 ) # Pad out the turbulence intensities - turbulence_intensity_column = np.append(ti_range_min_current, turbulence_intensity_column) - freq_matrix = np.concatenate((freq_matrix[:, :, 0][:, :, None], freq_matrix), axis=2) - if self.value_table is not None: - value_matrix = np.concatenate((value_matrix[:, :, 0][:, :, None], value_matrix), axis=2) - - turbulence_intensity_column = np.append(turbulence_intensity_column, ti_range_max_current) - freq_matrix = np.concatenate((freq_matrix, freq_matrix[:, :, -1][:, :, None]), axis=2) + turbulence_intensity_column = np.concatenate( + ( + np.array([ti_range_min_current]), + turbulence_intensity_column, + np.array([ti_range_max_current]) + ) + ) + freq_matrix = np.concatenate( + (freq_matrix[:, :, 0][:, :, None], freq_matrix, freq_matrix[:, :, -1][:, :, None]), + axis=2 + ) if self.value_table is not None: value_matrix = np.concatenate( - (value_matrix, value_matrix[:, :, -1][:, :, None]), axis=2 - ) - - # If wd_range_min_current is less than 0, then pad the wind_direction column with - # that value + 360 and expand the matrices accordingly (this avoids interpolation errors) - if wd_range_min_current < 0: - # Pad wind direction column with min_wd + 360 - wind_direction_column = np.append( - wind_direction_column, np.min(self.wind_directions) + 360.0 + ( + value_matrix[:, :, 0][:, :, None], + value_matrix, + value_matrix[:, :, -1][:, :, None] + ), + axis=2 ) - # Pad the remaining with the appropriate value - freq_matrix = np.concatenate((freq_matrix, freq_matrix[0, :, :][None, :, :]), axis=0) - if self.value_table is not None: - value_matrix = np.concatenate( - (value_matrix, value_matrix[0, :, :][None, :, :]), axis=0 - ) - - # Grid wind directions and wind speeds to match the ti_matrix and freq_matrix when flattened + # Grid wind directions, wind speeds and turbulence intensities to match the + # freq_matrix when flattened wd_grid, ws_grid, ti_grid = np.meshgrid( wind_direction_column, wind_speed_column, turbulence_intensity_column, indexing="ij" )

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