{ "cells": [ { "cell_type": "markdown", "id": "b716f0a5", "metadata": {}, "source": [ "# Superposition Models" ] }, { "cell_type": "markdown", "id": "c676dad3", "metadata": {}, "source": [ "The superposition models calculate the effective wind speed given the local wind speed and deficits (typically from multiple sources). In PyWake, the effective wind speed is representative of the wind speed perceived by the $ith$ turbine's rotor on the wind farm ($u_0^i$), as it is usually mentioned in the literature.\n", "\n", "There are four different superposition models in PyWake:\n", "\n", "- [LinearSum](#LinearSum): Deficits sum up linearly.\n", "- [SquaredSum](#SquaredSum): Deficits sum as root-sum-square.\n", "- [MaxSum](#MaxSum): Only the largest deficit is considered.\n", "- [SqrMaxSum](#SqrMaxSum): The root-sum-square of the local turbulence intensity and the maximum value of the added turbulence caused by the source turbine is considered.\n", "- [WeightedSum](#WeightedSum): A weighted sum of the invidiual wake velocity deficits is performed to obtain the total deficit. The ratio between the mean convection velocity and the convection velocity of the combined wake is used to determine the weights. This superposition model is capable of conserving momentum in the streamwise direction." ] }, { "cell_type": "markdown", "id": "d12ff9fd", "metadata": {}, "source": [ "**Install PyWake if needed**" ] }, { "cell_type": "code", "execution_count": 1, "id": "1096ed58", "metadata": {}, "outputs": [], "source": [ "# Install PyWake if needed\n", "try:\n", " import py_wake\n", "except ModuleNotFoundError:\n", " !pip install git+https://gitlab.windenergy.dtu.dk/TOPFARM/PyWake.git" ] }, { "cell_type": "code", "execution_count": 2, "id": "de2fb3e1", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from py_wake.literature.gaussian_models import Bastankhah_PorteAgel_2014\n", "from py_wake.literature.gaussian_models import Zong_PorteAgel_2020\n", "from py_wake.turbulence_models import CrespoHernandez\n", "from py_wake.examples.data.hornsrev1 import V80, Hornsrev1Site\n", "\n", "site = Hornsrev1Site()\n", "windTurbines = V80()" ] }, { "cell_type": "markdown", "id": "6e206237", "metadata": {}, "source": [ "### LinearSum\n", "\n", "In general, LinearSum should be used in combination with `use_effective_ws=True` which makes downstream wind turbines feel the effective wind speed (including wake effects from upstream turbines) instead of the ambient free-stream wind speed. Otherwise negative wind speeds may occur." ] }, { "cell_type": "code", "execution_count": 3, "id": "8ee11752", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'y [m]')" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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r7Oxs7d271/5+3759SktLU1BQkOrUqaPRo0frhRdeUKNGjRQZGannnntONWvWVO/evSVJTZs2VY8ePTRs2DDNnj1b58+f16hRo3TvvfdypysAAACglLlV+NiyZYu6du1qfx8fHy9JGjRokObMmaMnn3xSp06d0vDhw3XixAndfPPNWr58ufz8/OzbfPzxxxo1apS6desmb29v9enTR2+88Ybp+wIAAACUN16GYRiuLsKd2Gw2BQQEKCsri+s/AAAAyqCyPF+7UNt/N+9Tlar+Tm17Kvuk7rw+skzuV1F5zDUfAAAAAMo2wgcAAAAAUxA+AAAAAJiC8AEAAADAFIQPAAAAAKYgfAAAAAAwBeEDAAAAgCkIHwAAAABMQfgAAAAAYArCBwAAAABTED4AAAAAmILwAQAAAMAUFVxdAAAAAICyIT4+3ultnn32WQUFBRWpLeEDAAAAgCRpxowZio6Olq+vb5Har1u3TqNGjSJ8AAAAAHDeokWLFBISUqS2/v7+TvXNNR8AAACAhzp06JDuv/9+Va9eXZUqVVLLli21ZcuWy7ZPTk5WQEBAkft/5513FBoaWuT2HPkAAAAAPNCff/6pm266SV27dtWXX36p4OBg/fLLL6pWrdpltxk0aJBTn3Hfffc51Z7wAQAAALgRm83m8N5ischisRRo98orrygiIkLJycn2ZZGRkUX+nPT0dHl5eal27dqSpE2bNmnevHlq1qyZhg8fXqzaOe0KAAAAMNlvWdnae8K5129Z2ZKkiIgIBQQE2F9JSUmFfsZ///tftW/fXn379lVISIjatGmjf/3rX0Wu8b777tM333wjScrIyNCtt96qTZs26ZlnntHzzz9frP0mfAAAAABuJD09XVlZWfZXQkJCoe1+++03zZo1S40aNdKKFSs0YsQIPfbYY5o7d26RPmfnzp264YYbJEkLFixQixYttH79en388ceaM2dOsWrntCsAAADAjVitVlmt1qu2y8/PV/v27fXSSy9Jktq0aaOdO3dq9uzZRbq24/z58/bTub7++mvdeeedkqQmTZroyJEjxaqdIx8AAACABwoPD1ezZs0cljVt2lQHDhwo0vbNmzfX7Nmz9e233yolJUU9evSQJB0+fFjVq1cvVk2EDwAAAMAD3XTTTdqzZ4/Dsp9//ll169Yt0vavvPKK3nnnHXXp0kX9+/dX69atJf11LcmF07GcxWlXAAAAgAcaM2aMOnbsqJdeekn33HOPNm3apHfffVfvvvvuFbc7ffq0KleurC5duuj333+XzWZzuD3v8OHDVbly5WLVxJEPAAAAwANdf/31WrRokT755BO1aNFCkydP1owZMzRgwIArblejRg3dfvvtevfdd/X7778XeC5IvXr1ivwE9Etx5AMAAADwULfffrtuv/12p7bZvXu3lixZogULFuixxx5T69atdeedd+rOO+9Uy5Ytr6kejnwAAAAAsKtTp44effRRff3118rMzNTo0aO1Y8cOderUSfXr19fo0aO1atUq5eXlOd23R4WPiRMnysvLy+HVpEkT+/qzZ89q5MiRql69uqpWrao+ffooMzPThRUDAICy5o9TuWXqBbhSQECA+vfvr/nz5+vYsWOaPXu28vLyNGTIEAUHB+vjjz92qj+PO+2qefPm+vrrr+3vK1T4exfHjBmjL774QgsXLlRAQIBGjRqlu+++W999950rSgUAoEQxUQVQmipWrKju3bure/fumjlzprZv367cXOd+73hc+KhQoYLCwsIKLM/KytL777+vefPm6R//+IckKTk5WU2bNtWGDRt04403ml0qAKCMYfIOAI7Onj2rH374QUePHlV+fr59uZeXl+644w6n+/O48PHLL7+oZs2a8vPzU3R0tJKSklSnTh1t3bpV58+fV0xMjL1tkyZNVKdOHaWmpl42fOTk5CgnJ8f+3mazlfo+AIArMPEGAFxs+fLleuCBB/T7778XWOfl5cU1Hx06dNCcOXO0fPlyzZo1S/v27VOnTp108uRJZWRkyNfXV4GBgQ7bhIaGKiMj47J9JiUlKSAgwP6KiIgo5b0AgOLhvHIAQEl69NFH1bdvXx05ckT5+fkOr+IED8nDwkfPnj3Vt29ftWrVSrGxsVq2bJlOnDihBQsWFLvPhIQEZWVl2V/p6eklWDEAT7V06VJFRUWpUaNGeu+994q8HeEBRfXAvf9Ug9rBGjKgn6tLAeChMjMzFR8fr9DQ0BLr0+NOu7pYYGCgGjdurL179+rWW2/VuXPndOLECYejH5mZmYVeI3KBxWKRxWIxoVoAniI3N1ePj4nXkmUp8rcGqFunDurc/Q4FVa/u6tLgQYY/8qjue2CwPv34I1eXAsBD/fOf/9Tq1avVoEGDEuvTo8NHdna2fv31Vw0cOFDt2rVTxYoVtXLlSvXp00eStGfPHh04cEDR0dEurhRAWVWcIwqbNqxXkybNFF6zliQp5tZYfbMyRX3uubeky0M5dvMtnbVu7RpXlwHAg7355pvq27evvv32W7Vs2VIVK1Z0WP/YY4853adHhY8nnnhCd9xxh+rWravDhw8rMTFRPj4+6t+/vwICAhQXF6f4+HgFBQXJarXq0UcfVXR0NHe6Ajyc2ackZRw5ovCaNe3vw2rW0pEjh02tAQCAa/XJJ5/oq6++kp+fn1avXi0vLy/7Oi8vL8LHwYMH1b9/f/3xxx8KDg7WzTffrA0bNig4OFiSNH36dHl7e6tPnz7KyclRbGys3n77bRdXDaCkcf0DAADX7plnntGkSZM0fvx4eXuXzKXiHhU+5s+ff8X1fn5+euutt/TWW2+ZVBGA8igsPFxHDv99pCPj8CG1aX+9CysCAMB5586dU79+/UoseEgeFj4A4M8//9Qv+w+rUeMol9XQtv0N2rXrRx05fEj+1gB9nbJCY596xtQajtpyrt4ITgmx/n3zkRN//qk9+w4qsmFjF1YknTh9Tjm5efz//v8u/n8E4NoNGjRIn376qZ5++ukS65PwAcCj3HTTTdq1a5d+zz7vshoqVKig51+aortuu1VGfr5GjR7r1J2umEiWTRf/f7n9H5302y979NPhbJfVM/Se27Xnpx06c/q0urZrrOnvfKTr2ndwWT1lgaf+7FSvwnQNrpGXl6cpU6ZoxYoVatWqVYELzqdNm+Z0n3ybAaAEXZj8tOvUXUvXdi+wHCgpHyxY6uoSAHi4HTt2qE2bNpKknTt3Oqy7+OJzZxA+AOD/IyAAAPC3b775psT7JHwA8EgEicIdyTp7TduHB/iVUCUAgPKI8AEAZdi1hoWSVtbqkVwbiMrSeBAMAZSEu+++W3PmzJHVai1S+wEDBmj69OkKCQkpUnvCBwCUoLI0GS0vGPO/lKVxIAgB7mvJkiU6duxYkdoahqHPP/9ckydPJnwAQFGUpQkb3EduvuHqEso0s3+uCDtAyTEMQ40bl95txAkfADxSeQoVe0+47navFzQMrOrqElCOlebPO8EG5U1xLjKvVatWkdsSPgDAJGUhJJSW0tg3dwg0Jb3f7rDP5U1pBBsCDcqyzp07l2r/hA8AuIgnBwR3U5L/L9xlUl9a3z932f/ywtlA0zS8SilVApiP8AHAI5XXELHjyOkS77NleOUS79Ns1/p9cPfJO0dogPJp4sSJmjRpksOyqKgo7d6920UVET4AoNSVRiAw07XW74nh5XxevqSCY+MJ+1oUJRFmCDCAOZo3b66vv/7a/r5CBddO/wkfAMotdw8F7qK44+yOE/mS+E65434Xx7UEGIILUHQVKlRQWFiYq8uwI3wA8EjlLVj8fMRW4n02Di/aA6ZKi7P/Dz1l0n4t311PGYOrKW5wIbTAU9hsjr/zLRaLLBZLoW1/+eUX1axZU35+foqOjlZSUpLq1KljRpmFInwAQAkpjQDgSs7uD2HF9crTUabicDa0EFZQmn7KOCPfyj5ObXPu9BlJUkREhMPyxMRETZw4sUD7Dh06aM6cOYqKitKRI0c0adIkderUSTt37pS/v3+hn9GmTRt5eXkVqZ5t27Y5Vb9UxPARFBTkVKdeXl7atm2b6tat63RBAFASPC0IuIOijrmrQ8oFRZ2oX2li7m4B7XIIboUralghpMBs6enpslr//n1yuaMePXv2tP+5VatW6tChg+rWrasFCxYoLi6u0G169+5t//PZs2f19ttvq1mzZoqOjpYkbdiwQT/++KMeeeSRYtVepPBx4sQJzZgxQwEBAVdtaxiGHnnkEeXl5RWrIADA1aUfzCq1viNqX/13/bUoyoS9LE3SC5uYn83NL1ZfzoSVsjQGlyqJ4OZJCCkwm9VqdQgfRRUYGKjGjRtr7969l22TmJho//ODDz6oxx57TJMnTy7QJj093enPl5w47eree+9VSEhIkdo++uijxSoGAMqq0pzslzVF2VcCSunzhKBCSHFUlJBCQEFpys7O1q+//qqBAwcWqf3ChQu1ZcuWAsvvv/9+tW/fXh988IHTNRQpfOTnO/cvPCdPnnS6EAAoSeUpLLjC1ca3tMOJdPXJuRkT8suNgxn7fzF3D2tXCynlJZxIhQeUf6i6CyqBJ3jiiSd0xx13qG7dujp8+LASExPl4+Oj/v37F2n7SpUq6bvvvlOjRo0cln/33Xfy8/MrVk1ccA4AHuDIgWPX3Ed4neASqOQvVwonZk3MLzchd2UouVhZCyiEE8DzHDx4UP3799cff/yh4OBg3XzzzdqwYYOCg4v2+3706NEaMWKEtm3bphtuuEGStHHjRn3wwQd67rnnilVTscLH4cOHtW7dOh09erTAUZHHHnusWIUAQFlQEpN4d3W5fS/JUCK5/mjBlSbhZk7Ay0JAu1hZGZfiuFI4IZigPJs/f/41bT9+/HjVr19fr7/+uv79739Lkpo2bark5GTdc889xerT6fAxZ84cPfTQQ/L19VX16tUdbsXl5eVF+ABQJpTnEFHSyksokQqfgF9p4n3kwLESHwfJfYJJWQ8l0uWDCaEEKJp77rmn2EGjME6Hj+eee04TJkxQQkKCvL29S6wQAIB7KSyUmDERL2unK5kVzi4oLJi4IpBInhdKCCRAQSdOnNB//vMf/fbbb3riiScUFBSkbdu2KTQ0VLVq1XK6P6fDx+nTp3XvvfcSPADASWfTf3V1CVfkF9Hgmvu4dCJu1lEBsyff54pwq12zwplUNo4aXezSUOIOYUQikACX+uGHHxQTE6OAgADt379fDz74oIKCgvTZZ5/pwIED+vDDD53u0+nwERcXp4ULF2r8+PFOfxgAmKWsT/TLokvHzF3CiOQ4+XbVhLsozBqPC1x91OgCZ09nK0suDSSEEZQn8fHxGjx4sKZMmeLwRPTbbrtN9913X7H6dDp8JCUl6fbbb9fy5cvVsmVLVaxY0WH9tGnTilUIAKBsuTiMlEQQkRwn32YdBSCM/K0sjc3FgcRdgojkGEYIIvB0mzdv1jvvvFNgea1atZSRkVGsPosVPlasWKGoqChJKnDBOQDA81wIIiUVQiRzgoj094S7NCbaZ9N/dcsxuaCsHDEiiABlk8Vikc1W8Mjlzz//XOTb9V7K6fAxdepUffDBBxo8eHCxPrCseOutt/Tqq68qIyNDrVu31syZM+33LwYAFK40joZIf0+63TGElPaYSOYGEVcfKXL3IEIIgSe588479fzzz2vBggWS/jrQcODAAT311FPq06dPsfp0+qpxi8Wim266qVgfVlZ8+umnio+PV2JiorZt26bWrVsrNjZWR48edXVpAK7R+fPnJUlGDk84L22lcV2NGbdITj+YVaSHAF5Jfl6upILfs7Ppv5bauJh1++iSGJ+SUpQnt5c1O46cvupDEQF3MXXqVGVnZyskJERnzpxR586d1bBhQ/n7++vFF18sVp9Oh4/HH39cM2fOLNaHlRXTpk3TsGHDNGTIEDVr1kyzZ89W5cqV9cEHH7i6NADX4P3339fevXslSTkbpyv3yFYXV+T53DWASEV7CnlhDq7/r84cOyjp8t+z0rrhgZnPrylLAcRdQwjg7gICApSSkqLPP/9cb7zxhkaNGqVly5ZpzZo1qlKlSrH6dPq0q02bNmnVqlVaunSpmjdvXuCC888++6xYhZjl3Llz2rp1qxISEuzLvL29FRMTo9TU1ALtc3JylJOTY39f2HlvAFzv4MGDGj58+EVLDOX+8rl8ghrKy1J2Lzj2BCV93YNUeg/vu1T6wSynTjM6++dR/TTv5YuWXP57VhrjIpk3NpLz4wNHO46c5jQseISbb75Z7du3l8ViueZrvJ0+8hEYGKi7775bnTt3Vo0aNRQQEODwKut+//135eXlKTQ01GF5aGhooVftJyUlOexfRESEWaUCcMIvv/yi/PxLn71gKP/McZfUA/fg7MT69LF0ySja96w0godkzvUfFxA8gPItPz9fkydPVq1atVS1alXt27dP0l8PHX///feL1afTRz6Sk5OL9UHuKiEhQfHx8fb3NpuNAAKUQY0aNZK3t/clAcRL3pWCXFZTeVEak2wzJtjFmVhXDo6QvLwvCSAFv2cEj5LlTheeX4yjHnB3L7zwgubOnaspU6Zo2LBh9uUtWrTQjBkzFBcX53Sf5e4x5TVq1JCPj48yMzMdlmdmZiosLKxAe4vFIqvV6vACUPbUrl1b77777kVLvFSh0R2cclWK/CIalPgkO7xOcJkNHpLkVy1Eze67+CG7Bb9nBI+S0zjc6pbBo2V4ZYIHPMKHH36od999VwMGDJCPj499eevWrbV79+5i9Vmk8NG2bVv9+eefRe705ptv1qFDh4pVUGnz9fVVu3bttHLlSvuy/Px8rVy5UtHR0S6sDMC1iouLU8OGDSVJlg5jVCG8nYsr8kylETok8452XOvEunbHO1UpuLYkx+9ZaY6LWcGjJManJBA6gLLh0KFD9r9XL5afn2+/u6SzinTaVVpamr7//nsFBRXt9IW0tDSHi7TLmvj4eA0aNEjt27fXDTfcoBkzZujUqVMaMmSIq0sDcI0u3ASDIx4lz10Dh1Ty/5Lv7fPXX5+VGrYt0X4vKI9HOSROrwLKmmbNmunbb79V3bp1HZb/5z//UZs2bYrVZ5Gv+ejWrZsMwyhS27L+pPN+/frp2LFjmjBhgjIyMnTddddp+fLlBS5CB4DyjsBhDjPDhlR2xoawAZRtEyZM0KBBg3To0CHl5+frs88+0549e/Thhx9q6dKlxeqzSOHjwpXtzqhdu7bT25hp1KhRGjVqlKvLAFBKrjZpLq3nMHgCdw0cZWVCXRSEDfdD4EB5dNddd+nzzz/X888/rypVqmjChAlq27atPv/8c916663F6rNI4ePSQy0A4O5K66Jg/IWw8bfyGjQk9w0bBA3gb506dVJKSkqJ9ef0rXYBALhYeTmN6uKJ9OYK3jpVSJvyeq2GRNAAPNmWLVu0a9cuSX9dB9KuXfFv6EL4AAAUWXk5olHUiXR5GY+LETKA8uPgwYPq37+/vvvuOwUGBkqSTpw4oY4dO2r+/PnFusyC8AHAI5l9qoszjhw45uoSrqo8Hs1wJVePw6XKyrgUByEDKDkPPvigzp8/r127dikqKkqStGfPHg0ZMkQPPvigli9f7nSfhA8AMFlZDkaloSxMrF09mS4LY3AxV4/HtSJgAOZYs2aN1q9fbw8ekhQVFaWZM2eqU6dOxerT6fAxaNAgxcXF6ZZbbinWBwKAGS6d7KUfzHJRJZ6vLEysXTmZLgv7fynChedoGFjV1SWgHIuIiCj0YYJ5eXmqWbNmsfp0OnxkZWUpJiZGdevW1ZAhQzRo0CDVqlWrWB8OAGYpaxNEdwpDZWHsyupk2uyxKavj4AyCxd8IFjDbyy+/rISEBD3++OOaMWPGVdu/+uqrevTRR/XWW2+pffv2kv66+Pzxxx/Xa6+9VqwanA4fixcv1rFjx/TRRx9p7ty5SkxMVExMjOLi4nTXXXfZny4MALi8sjChLyvcbULdMryy/Cp4l1h/7rb/hSFQFESwQFmzefNmvfPOO2rVqlWRtxk8eLBOnz6tDh06qEKFv2JDbm6uKlSooKFDh2ro0KH2tsePHy9Sn8W65iM4OFjx8fGKj4/Xtm3blJycrIEDB6pq1aq6//779cgjj6hRo0bF6RoASsS1Tuh+PmIroUrKL3ebVJfUBNrd9vtyCBSFI1TAHWVnZ2vAgAH617/+pRdeeKHI2xXl6IizrumC8yNHjiglJUUpKSny8fHRbbfdph07dqhZs2aaMmWKxowZU1J1AoCpXDWBLOuhxx0n1qU5iXaX8SBIXB5hAu7IZnP8u8JischisVy2/ciRI9WrVy/FxMQ4FT4GDRpU7Bovx+nwcf78ef33v/9VcnKyvvrqK7Vq1UqjR4/WfffdJ6v1r1/CixYt0tChQwkfAOAkd5nMulJ5nkiX530vCoIE3MnejJOqUCnfqW1yz/z1eNOIiAiH5YmJiZo4cWKh28yfP1/btm3T5s2bna5x27Ztqlixolq2bClJWrJkiZKTk9WsWTNNnDhRvr6+TvfpdPgIDw9Xfn6++vfvr02bNum6664r0KZr1672B5EAgCuU9iRtx5HTpdp/eVAeJ9LlcZ+LgxABXFl6err9H/0lXfaoR3p6uh5//HGlpKTIz8/P6c956KGHNH78eLVs2VK//fab+vXrp7vvvlsLFy7U6dOni3ValtPhY/r06erbt+8VdyAwMFD79u1zuhgAcBdmTSLdIeSU5wl1ed73KyE8AKXLarU6hI/L2bp1q44ePaq2bdval+Xl5Wnt2rV68803lZOTIx8fn8tu//PPP9sPNCxcuFCdO3fWvHnz9N133+nee+81J3wMHDjQ6Q8BALNdOvnZeyLbRZVcGya3pa84E+WKPiV3t6uygsAAeJ5u3bppx44dDsuGDBmiJk2a6Kmnnrpi8JAkwzCUn//XqWFff/21br/9dkl/nfb1+++/F6smnnAOoFworYmVu4YaT1FeJ8zldb/Li/AA50+PAQrj7++vFi1aOCyrUqWKqlevXmB5Ydq3b68XXnhBMTExWrNmjWbNmiVJ2rdvn0JDQ4tVE+EDAK5BaU4CPTHYlIdJc3nYRxREYIAnmjFjhgYMGKDFixfrmWeeUcOGDSVJ//nPf9SxY8di9Un4AOCRwgP8dCTrrKvLuCauCDZMnJ3DeLkfQgLKu9WrVxe5batWrQqctiX99eTzq52ydTmEDwAeq6QnGe4eZi7GpBllDaEAcB/FuXPWBYQPACgiwoxnuZb/nxW8vUqwkrKByT8AMxA+AMBFynOYKY8T3fK4zwBwKcIHAI8UYi34wKWjthwXVGIeJrfmY8wBwDmEDwDlRmGBxFmeHmAAAChNhA8AcAIBBgDgyeLj44vcdtq0aU73T/gA4FGGDRvm1C9OVyiJACMRYlyp74AhemXieFeXARcqqZ9joKzZvn27w/tt27YpNzdXUVFRkqSff/5ZPj4+ateuXbH6J3wA8ChjxozRA8MfdXUZpigrR2HK4yRs3BNjNe6JsR4VAMvj/0cABX3zzTf2P0+bNk3+/v6aO3euqlWrJkn6888/NWTIEHXq1KlY/RM+AKAcY8J5bRg/AJ5s6tSp+uqrr+zBQ5KqVaumF154Qd27d9fYsWOd7tO7JAsEAAAA4BlsNpuOHTtWYPmxY8d08uTJYvXJkQ8AHqd6Fed+tf1xKreUKgEAwH393//9n4YMGaKpU6fqhhtukCRt3LhR48aN0913312sPj3qyEe9evXk5eXl8Hr55Zcd2vzwww/q1KmT/Pz8FBERoSlTprioWgBlRfUqFYr9AgDAU82ePVs9e/bUfffdp7p166pu3bq677771KNHD7399tvF6tPj/uZ8/vnnNWzYMPt7f39/+59tNpu6d++umJgYzZ49Wzt27NDQoUMVGBio4cOHu6JcAG6uuAGEoy0AgLKucuXKevvtt/Xqq6/q119/lSQ1aNBAVapUKXafHhc+/P39FRYWVui6jz/+WOfOndMHH3wgX19fNW/eXGlpaZo2bdplw0dOTo5ycv6+m4nNZiuVugGUL4QWAIC7qFKlilq1alUifXnUaVeS9PLLL6t69epq06aNXn31VeXm/v0XdWpqqm655Rb5+vral8XGxmrPnj36888/C+0vKSlJAQEB9ldERESp7wMAXA6niAEAzHLq1Ck999xz6tixoxo2bKj69es7vIrDo/42euyxx9S2bVsFBQVp/fr1SkhI0JEjR+xPX8zIyFBkZKTDNqGhofZ1F99G7IKEhASHB5bZbDYCCAC35A4BhCM7AFB2PPjgg1qzZo0GDhyo8PBweXl5XXOfZf5vovHjx+uVV165Yptdu3apSZMmDiGhVatW8vX11UMPPaSkpCRZLMW7F7vFYin2tgAA57hDQCoqghQAd/fll1/qiy++0E033VRifZb53/Jjx47V4MGDr9jmcod9OnTooNzcXO3fv19RUVEKCwtTZmamQ5sL7y93nQgAAMXhSUGqpBHMAPdQrVo1BQUFlWifZf43Y3BwsIKDg4u1bVpamry9vRUSEiJJio6O1jPPPKPz58+rYsWKkqSUlBRFRUUVesoVAAAoeQQzwD1MnjxZEyZM0Ny5c1W5cuUS6dNjfvpTU1O1ceNGde3aVf7+/kpNTdWYMWN0//3324PFfffdp0mTJikuLk5PPfWUdu7cqddff13Tp093cfUAAABA2TJ16lT9+uuvCg0NVb169ez/eH/Btm3bnO7TY8KHxWLR/PnzNXHiROXk5CgyMlJjxoxxuA4kICBAX331lUaOHKl27dqpRo0amjBhAs/4AAAAAC7Ru3fvEu/TY8JH27ZttWHDhqu2a9Wqlb799lsTKgIAAADcV2JiYon36XHP+QAAAABQNhE+AAAAAA80a9YstWrVSlarVVarVdHR0fryyy+vuE1QUJB+//13SX/f7epyr+LwmNOuAAAAAPytdu3aevnll9WoUSMZhqG5c+fqrrvu0vbt29W8efNCt5k+fbr8/f3tfy6JBwtezMswDKNEe/RwNptNAQEBysrKktVqdXU5AAAAuERZnq9dqO0fr61UhUpVnNo298wprXqi2zXtV1BQkF599VXFxcUVa/trxZEPAAAAwI3YbDaH9xaLRRaL5Yrb5OXlaeHChTp16pSio6OL9DkPPPCAunbtqltuuUUNGjQodr0XI3wAAAAAJjt4OEs+llyntsnLOSVJioiIcFiemJioiRMnFrrNjh07FB0drbNnz6pq1apatGiRmjVrVqTP8/X1VVJSkuLi4lSrVi117txZXbp0UefOndWoUSOnar+A8AEAAAC4kfT0dIfTrq501CMqKkppaWnKysrSf/7zHw0aNEhr1qwpUgB57733JEmHDh3S2rVrtWbNGk2dOlUPPfSQwsPDdfDgQadrJ3wAAAAAbuTC3auKwtfXVw0bNpQktWvXTps3b9brr7+ud955p8ifV61aNVWvXl3VqlVTYGCgKlSooODg4GLVzq12AQAAgHIiPz9fOTk5RWr79NNPq2PHjqpevbrGjx+vs2fPavz48crIyND27duL9fkc+QAAAAA8UEJCgnr27Kk6dero5MmTmjdvnlavXq0VK1YUafuXX35ZwcHBSkxM1N13363GjRtfc02EDwAAAMADHT16VA888ICOHDmigIAAtWrVSitWrNCtt95apO23b9+uNWvWaPXq1Zo6dap8fX3tF5136dKlWGGE8AEAAAB4oPfff/+atm/durVat26txx57TJL0/fffa/r06Ro5cqTy8/OVl5fndJ+EDwAAAAAFGIah7du3a/Xq1Vq9erXWrVsnm82mVq1aqXPnzsXqk/ABAAAAoICgoCBlZ2erdevW6ty5s4YNG6ZOnTopMDCw2H0SPgAAAAAU8O9//1udOnUq8m19i4LwAQAAAKCAXr16lXifPOcDAAAAgCkIHwAAAABMQfgAAAAAYArCBwAAAABTED4AAAAAmILwAQAAAMAUhA8AAAAApiB8AAAAADAF4QMAAACAKQgfAAAAAExB+AAAAABgCrcJHy+++KI6duyoypUrKzAwsNA2Bw4cUK9evVS5cmWFhIRo3Lhxys3NdWizevVqtW3bVhaLRQ0bNtScOXNKv3gAAAAA7hM+zp07p759+2rEiBGFrs/Ly1OvXr107tw5rV+/XnPnztWcOXM0YcIEe5t9+/apV69e6tq1q9LS0jR69Gg9+OCDWrFihVm7AQAAAJRbFVxdQFFNmjRJki57pOKrr77STz/9pK+//lqhoaG67rrrNHnyZD311FOaOHGifH19NXv2bEVGRmrq1KmSpKZNm2rdunWaPn26YmNjzdoVAAAAoFxymyMfV5OamqqWLVsqNDTUviw2NlY2m00//vijvU1MTIzDdrGxsUpNTb1svzk5ObLZbA4vAAAAAM7zmPCRkZHhEDwk2d9nZGRcsY3NZtOZM2cK7TcpKUkBAQH2V0RERClUDwAAAHg+l4aP8ePHy8vL64qv3bt3u7JEJSQkKCsry/5KT093aT0AAACAu3LpNR9jx47V4MGDr9imfv36ReorLCxMmzZtcliWmZlpX3fhvxeWXdzGarWqUqVKhfZrsVhksViKVAMAAACAy3Np+AgODlZwcHCJ9BUdHa0XX3xRR48eVUhIiCQpJSVFVqtVzZo1s7dZtmyZw3YpKSmKjo4ukRoAAAAAXJ7bXPNx4MABpaWl6cCBA8rLy1NaWprS0tKUnZ0tSerevbuaNWumgQMH6vvvv9eKFSv07LPPauTIkfYjFw8//LB+++03Pfnkk9q9e7fefvttLViwQGPGjHHlrgEAAADlgtuEjwkTJqhNmzZKTExUdna22rRpozZt2mjLli2SJB8fHy1dulQ+Pj6Kjo7W/fffrwceeEDPP/+8vY/IyEh98cUXSklJUevWrTV16lS999573GYXAAAAHicpKUnXX3+9/P39FRISot69e2vPnj0urcnLMAzDpRW4GZvNpoCAAGVlZclqtbq6HAAAAFyiLM/XLtTWOP4z+ViqOLVtXs4p/Tzt7iLvV48ePXTvvffq+uuvV25urp5++mnt3LlTP/30k6pUce6zS4rbPGQQAAAAgAo8d+5yN0havny5w/s5c+YoJCREW7du1S233FKqNV4O4QMAAAAwWebB3+VV8bRT2xjn/2p/6XPnEhMTNXHixKtun5WVJUkKCgpy6nNLEuEDAAAAcCPp6ekOp10V5bEQ+fn5Gj16tG666Sa1aNGiNMu7IsIHAAAA4EasVqvT17KMHDlSO3fu1Lp160qpqqIhfAAAAAAebNSoUVq6dKnWrl2r2rVru7QWwgcAAADggQzD0KOPPqpFixZp9erVioyMdHVJhA8AAADAE40cOVLz5s3TkiVL5O/vr4yMDElSQECAKlWq5JKa3OYhgwAAAACKbtasWcrKylKXLl0UHh5uf3366acuq4kjHwAAAIAHKovPEufIBwAAAABTED4AAAAAmILwAQAAAMAUhA8AAAAApiB8AAAAADAF4QMAAACAKQgfAAAAAExB+AAAAABgCsIHAAAAAFMQPgAAAACYgvABAAAAwBSEDwAAAACmIHwAAAAAMAXhAwAAAIApCB8AAAAATEH4AAAAAGAKwgcAAAAAUxA+AAAAAJjCbcLHiy++qI4dO6py5coKDAwstI2Xl1eB1/z58x3arF69Wm3btpXFYlHDhg01Z86c0i8eAAAAgPuEj3Pnzqlv374aMWLEFdslJyfryJEj9lfv3r3t6/bt26devXqpa9euSktL0+jRo/Xggw9qxYoVpVw9AAAAgAquLqCoJk2aJElXPVIRGBiosLCwQtfNnj1bkZGRmjp1qiSpadOmWrdunaZPn67Y2NgSrRcAAACAI7c58lFUI0eOVI0aNXTDDTfogw8+kGEY9nWpqamKiYlxaB8bG6vU1NTL9peTkyObzebwAgAAAOA8tznyURTPP/+8/vGPf6hy5cr66quv9Mgjjyg7O1uPPfaYJCkjI0OhoaEO24SGhspms+nMmTOqVKlSgT6TkpLsR10AAAAAFJ9Lj3yMHz++0IvEL37t3r27yP0999xzuummm9SmTRs99dRTevLJJ/Xqq69eU40JCQnKysqyv9LT06+pPwAAAMAsa9eu1R133KGaNWvKy8tLixcvdmk9Lj3yMXbsWA0ePPiKberXr1/s/jt06KDJkycrJydHFotFYWFhyszMdGiTmZkpq9Va6FEPSbJYLLJYLMWuAQAAAHCVU6dOqXXr1ho6dKjuvvtuV5fj2vARHBys4ODgUus/LS1N1apVs4eH6OhoLVu2zKFNSkqKoqOjS60GAAAAwFV69uypnj17uroMO7e55uPAgQM6fvy4Dhw4oLy8PKWlpUmSGjZsqKpVq+rzzz9XZmambrzxRvn5+SklJUUvvfSSnnjiCXsfDz/8sN588009+eSTGjp0qFatWqUFCxboiy++cNFeAQAAAM659AZI7nSmjtuEjwkTJmju3Ln2923atJEkffPNN+rSpYsqVqyot956S2PGjJFhGGrYsKGmTZumYcOG2beJjIzUF198oTFjxuj1119X7dq19d5773GbXQAAAJjq7MF98qrg59Q2Ru5ZSVJERITD8sTERE2cOLGkSitVXsbF96LFVdlsNgUEBCgrK0tWq9XV5QAAAOASZXm+dqE2S8eEYoWPnPVJSk9Pd9ivoh758PLy0qJFixwewm02tznyAQAAAECyWq1lLlQVlcc9ZBAAAABA2cSRDwAAAMBDZWdna+/evfb3+/btU1pamoKCglSnTh3T6yF8AAAAAB5qy5Yt6tq1q/19fHy8JGnQoEGaM2eO6fUQPgAAAAAP1aVLF5Wl+0txzQcAAAAAUxA+AAAAAJiC8AEAAADAFIQPAAAAAKYgfAAAAAAwBeEDAAAAgCkIHwAAAABMQfgAAAAAYArCBwAAAABTED4AAAAAmILwAQAAAMAUhA8AAAAApiB8AAAAADAF4QMAAACAKQgfAAAAAExB+AAAAABgCsIHAAAAAFMQPgAAAACYgvABAAAAwBSEDwAAAACmIHwAAAAAMAXhAwAAAIApCB8AAAAATOEW4WP//v2Ki4tTZGSkKlWqpAYNGigxMVHnzp1zaPfDDz+oU6dO8vPzU0REhKZMmVKgr4ULF6pJkyby8/NTy5YttWzZMrN2AwAAADDdW2+9pXr16snPz08dOnTQpk2bXFaLW4SP3bt3Kz8/X++8845+/PFHTZ8+XbNnz9bTTz9tb2Oz2dS9e3fVrVtXW7du1auvvqqJEyfq3XfftbdZv369+vfvr7i4OG3fvl29e/dW7969tXPnTlfsFgAAAFCqPv30U8XHxysxMVHbtm1T69atFRsbq6NHj7qkHi/DMAyXfPI1evXVVzVr1iz99ttvkqRZs2bpmWeeUUZGhnx9fSVJ48eP1+LFi7V7925JUr9+/XTq1CktXbrU3s+NN96o6667TrNnzy7S59psNgUEBCgrK0tWq7WE9woAAADXqizP1y7UZumYIK8Kfk5ta+SeVc76JKf2q0OHDrr++uv15ptvSpLy8/MVERGhRx99VOPHj3e6/mtVwfRPLCFZWVkKCgqyv09NTdUtt9xiDx6SFBsbq1deeUV//vmnqlWrptTUVMXHxzv0Exsbq8WLF1/2c3JycpSTk+PwudJfXxwAAACUPRfmaWX639jzcuR0dXl/zUkvnYdaLBZZLJYCzc+dO6etW7cqISHBvszb21sxMTFKTU119tNLhFuGj71792rmzJl67bXX7MsyMjIUGRnp0C40NNS+rlq1asrIyLAvu7hNRkbGZT8rKSlJkyZNKrA8IiLiWnYBAAAApezkyZMKCAhwdRkOfH19FRYWpoyN04q1fdWqVQvMQxMTEzVx4sQCbX///Xfl5eUVOv+9cGaQ2VwaPsaPH69XXnnlim127dqlJk2a2N8fOnRIPXr0UN++fTVs2LDSLlEJCQkOR0vy8/N1/PhxVaxYUXXq1FF6enqZO5xXVtlsNkVERDBmTmDMnMeYOY8xcx5j5jzGzHmMmfMujNmBAwfk5eWlmjVrurqkAvz8/LRv374CN04qKsMw5OXl5bCssKMeZZVLw8fYsWM1ePDgK7apX7++/c+HDx9W165d1bFjR4cLySUpLCxMmZmZDssuvA8LC7timwvrC1PYYazAwED74S6r1covBCcxZs5jzJzHmDmPMXMeY+Y8xsx5jJnzAgICyvSY+fn5yc/Pues9iqNGjRry8fFxev5bmlx6t6vg4GA1adLkiq8L13AcOnRIXbp0Ubt27ZScnCxvb8fSo6OjtXbtWp0/f96+LCUlRVFRUapWrZq9zcqVKx22S0lJUXR0dCnvKQAAAGAuX19ftWvXzmH+m5+fr5UrV7ps/usWt9q9EDzq1Kmj1157TceOHVNGRobDtRr33XeffH19FRcXpx9//FGffvqpXn/9dYdTph5//HEtX75cU6dO1e7duzVx4kRt2bJFo0aNcsVuAQAAAKUqPj5e//rXvzR37lzt2rVLI0aM0KlTpzRkyBCX1OMWF5ynpKRo79692rt3r2rXru2w7sJdDAICAvTVV19p5MiRateunWrUqKEJEyZo+PDh9rYdO3bUvHnz9Oyzz+rpp59Wo0aNtHjxYrVo0cLpmiwWixITE93qHDtXY8ycx5g5jzFzHmPmPMbMeYyZ8xgz5zFmBfXr10/Hjh3ThAkTlJGRoeuuu07Lly8vcBG6Wdz2OR8AAAAA3ItbnHYFAAAAwP0RPgAAAACYgvABAAAAwBSEDwAAAACmIHwUwZ133qk6derIz89P4eHhGjhwoA4fPuzQ5ocfflCnTp3k5+eniIgITZkypUA/CxcuVJMmTeTn56eWLVtq2bJlZu2Cqfbv36+4uDhFRkaqUqVKatCggRITEws8yZMxc/Tiiy+qY8eOqly5sgIDAwttc+DAAfXq1UuVK1dWSEiIxo0bp9zcXIc2q1evVtu2bWWxWNSwYUPNmTOn9IsvQ9566y3Vq1dPfn5+6tChgzZt2uTqklxm7dq1uuOOO1SzZk15eXlp8eLFDusNw9CECRMUHh6uSpUqKSYmRr/88otDm+PHj2vAgAGyWq0KDAxUXFycsrOzTdwL8yQlJen666+Xv7+/QkJC1Lt3b+3Zs8ehzdmzZzVy5EhVr15dVatWVZ8+fQo8vKsoP6eeYtasWWrVqpX9IXjR0dH68ssv7esZr6t7+eWX5eXlpdGjR9uXMW6OJk6cKC8vL4dXkyZN7OsZLzdj4KqmTZtmpKamGvv37ze+++47Izo62oiOjravz8rKMkJDQ40BAwYYO3fuND755BOjUqVKxjvvvGNv89133xk+Pj7GlClTjJ9++sl49tlnjYoVKxo7duxwxS6Vqi+//NIYPHiwsWLFCuPXX381lixZYoSEhBhjx461t2HMCpowYYIxbdo0Iz4+3ggICCiwPjc312jRooURExNjbN++3Vi2bJlRo0YNIyEhwd7mt99+MypXrmzEx8cbP/30kzFz5kzDx8fHWL58uYl74jrz5883fH19jQ8++MD48ccfjWHDhhmBgYFGZmamq0tziWXLlhnPPPOM8dlnnxmSjEWLFjmsf/nll42AgABj8eLFxvfff2/ceeedRmRkpHHmzBl7mx49ehitW7c2NmzYYHz77bdGw4YNjf79+5u8J+aIjY01kpOTjZ07dxppaWnGbbfdZtSpU8fIzs62t3n44YeNiIgIY+XKlcaWLVuMG2+80ejYsaN9fVF+Tj3Jf//7X+OLL74wfv75Z2PPnj3G008/bVSsWNHYuXOnYRiM19Vs2rTJqFevntGqVSvj8ccfty9n3BwlJiYazZs3N44cOWJ/HTt2zL6e8XIvhI9iWLJkieHl5WWcO3fOMAzDePvtt41q1aoZOTk59jZPPfWUERUVZX9/zz33GL169XLop0OHDsZDDz1kTtEuNmXKFCMyMtL+njG7vOTk5ELDx7Jlywxvb28jIyPDvmzWrFmG1Wq1j+OTTz5pNG/e3GG7fv36GbGxsaVac1lxww03GCNHjrS/z8vLM2rWrGkkJSW5sKqy4dLwkZ+fb4SFhRmvvvqqfdmJEycMi8VifPLJJ4ZhGMZPP/1kSDI2b95sb/Pll18aXl5exqFDh0yr3VWOHj1qSDLWrFljGMZf41OxYkVj4cKF9ja7du0yJBmpqamGYRTt59TTVatWzXjvvfcYr6s4efKk0ahRIyMlJcXo3LmzPXwwbgUlJiYarVu3LnQd4+V+OO3KScePH9fHH3+sjh07qmLFipKk1NRU3XLLLfL19bW3i42N1Z49e/Tnn3/a28TExDj0FRsbq9TUVPOKd6GsrCwFBQXZ3zNmzktNTVXLli0dHgoUGxsrm82mH3/80d6mvI7ZuXPntHXrVof99/b2VkxMTLnYf2ft27dPGRkZDuMVEBCgDh062McrNTVVgYGBat++vb1NTEyMvL29tXHjRtNrNltWVpYk2X93bd26VefPn3cYsyZNmqhOnToOY3a1n1NPlZeXp/nz5+vUqVOKjo5mvK5i5MiR6tWrV4Hf2Yxb4X755RfVrFlT9evX14ABA3TgwAFJjJc7InwU0VNPPaUqVaqoevXqOnDggJYsWWJfl5GRUeApkRfeZ2RkXLHNhfWebO/evZo5c6Yeeugh+zLGzHnXMmY2m01nzpwxp1AX+f3335WXl8d3pogujMmVxisjI0MhISEO6ytUqKCgoCCPH9P8/HyNHj1aN910k1q0aCHpr/Hw9fUtcE3WpWN2tZ9TT7Njxw5VrVpVFotFDz/8sBYtWqRmzZoxXlcwf/58bdu2TUlJSQXWMW4FdejQQXPmzNHy5cs1a9Ys7du3T506ddLJkycZLzdUbsPH+PHjC1y8dOlr9+7d9vbjxo3T9u3b9dVXX8nHx0cPPPCAjHL2cHhnx0ySDh06pB49eqhv374aNmyYiyp3neKMGQDXGzlypHbu3Kn58+e7upQyLyoqSmlpadq4caNGjBihQYMG6aeffnJ1WWVWenq6Hn/8cX388cfy8/NzdTluoWfPnurbt69atWql2NhYLVu2TCdOnNCCBQtcXRqKoYKrC3CVsWPHavDgwVdsU79+ffufa9SooRo1aqhx48Zq2rSpIiIitGHDBkVHRyssLKzAXRUuvA8LC7P/t7A2F9a7A2fH7PDhw+ratas6duyod99916EdY/a3i8fsSsLCwgrcuamoY2a1WlWpUqUiVu2eatSoIR8fH7f/zpjlwphkZmYqPDzcvjwzM1PXXXedvc3Ro0cdtsvNzdXx48c9ekxHjRqlpUuXau3atapdu7Z9eVhYmM6dO6cTJ044/Cvrxd+xovycehpfX181bNhQktSuXTtt3rxZr7/+uvr168d4FWLr1q06evSo2rZta1+Wl5entWvX6s0339SKFSsYt6sIDAxU48aNtXfvXt16662Ml5spt0c+goOD1aRJkyu+Lr4e4WL5+fmSpJycHElSdHS01q5dq/Pnz9vbpKSkKCoqStWqVbO3WblypUM/KSkpio6OLo3dKxXOjNmhQ4fUpUsXtWvXTsnJyfL2dvyqMWZX/55dKjo6Wjt27HCYDKakpMhqtapZs2b2Nu4+ZsXl6+urdu3aOex/fn6+Vq5cWS7231mRkZEKCwtzGC+bzaaNGzfaxys6OlonTpzQ1q1b7W1WrVql/Px8dejQwfSaS5thGBo1apQWLVqkVatWKTIy0mF9u3btVLFiRYcx27Nnjw4cOOAwZlf7OfV0+fn5ysnJYbwuo1u3btqxY4fS0tLsr/bt22vAgAH2PzNuV5adna1ff/1V4eHhfM/ckauveC/rNmzYYMycOdPYvn27sX//fmPlypVGx44djQYNGhhnz541DOOvOy2EhoYaAwcONHbu3GnMnz/fqFy5coHbxlaoUMF47bXXjF27dhmJiYkee9vYgwcPGg0bNjS6detmHDx40OHWeBcwZgX973//M7Zv325MmjTJqFq1qrF9+3Zj+/btxsmTJw3D+PtWgd27dzfS0tKM5cuXG8HBwYXeanfcuHHGrl27jLfeeqvc3WrXYrEYc+bMMX766Sdj+PDhRmBgoMMdTsqTkydP2r9Hkoxp06YZ27dvN/73v/8ZhvHXrXYDAwONJUuWGD/88INx1113FXqr3TZt2hgbN2401q1bZzRq1Mhjb7U7YsQIIyAgwFi9erXD763Tp0/b2zz88MNGnTp1jFWrVhlbtmwpcOv1ovycepLx48cba9asMfbt22f88MMPxvjx4w0vLy/jq6++MgyD8Sqqi+92ZRiM26XGjh1rrF692ti3b5/x3XffGTExMUaNGjWMo0ePGobBeLkbwsdV/PDDD0bXrl2NoKAgw2KxGPXq1TMefvhh4+DBgw7tvv/+e+Pmm282LBaLUatWLePll18u0NeCBQuMxo0bG76+vkbz5s2NL774wqzdMFVycrIhqdDXxRgzR4MGDSp0zL755ht7m/379xs9e/Y0KlWqZNSoUcMYO3ascf78eYd+vvnmG+O6664zfH19jfr16xvJycnm7oiLzZw506hTp47h6+tr3HDDDcaGDRtcXZLLfPPNN4V+pwYNGmQYxl+3233uueeM0NBQw2KxGN26dTP27Nnj0Mcff/xh9O/f36hataphtVqNIUOG2AOxp7nc762Lf4bOnDljPPLII0a1atWMypUrG//3f//n8A8rhlG0n1NPMXToUKNu3bqGr6+vERwcbHTr1s0ePAyD8SqqS8MH4+aoX79+Rnh4uOHr62vUqlXL6Nevn7F37177esbLvXgZRjm7ahoAAACAS5Tbaz4AAAAAmIvwAQAAAMAUhA8AAAAApiB8AAAAADAF4QMAAACAKQgfAAAAAExB+AAAAABgCsIHAAAAAFMQPgCgnNm/f7+8vLzk5eWl66677pr7u9BXYGDgNfcFAPBshA8AKKe+/vprrVy58pr7OXLkiGbMmHHtBQEAPB7hAwDKqerVq6t69erX3E9YWJgCAgJKoCIAgKcjfACAGzt27JjCwsL00ksv2ZetX79evr6+Th/VGDx4sHr37q2XXnpJoaGhCgwM1PPPP6/c3FyNGzdOQUFBql27tpKTk0t6NwAA5UQFVxcAACi+4OBgffDBB+rdu7e6d++uqKgoDRw4UKNGjVK3bt2c7m/VqlWqXbu21q5dq++++05xcXFav369brnlFm3cuFGffvqpHnroId16662qXbt2KewRAMCTceQDANzcbbfdpmHDhmnAgAF6+OGHVaVKFSUlJRWrr6CgIL3xxhuKiorS0KFDFRUVpdOnT+vpp59Wo0aNlJCQIF9fX61bt66E9wIAUB5w5AMAPMBrr72mFi1aaOHChdq6dassFkux+mnevLm8vf/+d6nQ0FC1aNHC/t7Hx0fVq1fX0aNHr7lmAED5w5EPAPAAv/76qw4fPqz8/Hzt37+/2P1UrFjR4b2Xl1ehy/Lz84v9GQCA8osjHwDg5s6dO6f7779f/fr1U1RUlB588EHt2LFDISEhri4NAAAHHPkAADf3zDPPKCsrS2+88YaeeuopNW7cWEOHDnV1WQAAFED4AAA3tnr1as2YMUMfffSRrFarvL299dFHH+nbb7/VrFmzXF0eAAAOOO0KANxYly5ddP78eYdl9erVU1ZWltN9zZkzp8Cy1atXF1h2LdeUAADKN8IHAJRTHTt21HXXXaf169dfUz9Vq1ZVbm6u/Pz8SqgyAICnInwAQDlTu3Zt/fLLL5JU7FvyXiwtLU3SX7fhBQDgSrwMwzBcXQQAAAAAz8cF5wAAAABMQfgAAAAAYArCBwAAAABTED4AAAAAmILwAQAAAMAUhA8AAAAApiB8AAAAADAF4QMAAACAKf4fFlR00M1TGRsAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from py_wake.superposition_models import LinearSum\n", "\n", "linear_sum = Bastankhah_PorteAgel_2014(site, windTurbines, k=0.0324555, superpositionModel=LinearSum(), use_effective_ws=True)\n", "plt.figure(figsize=(10,4))\n", "linear_sum([0,200],[0,0],wd=270,ws=10).flow_map().plot_wake_map(levels=np.arange(0,10))\n", "plt.xlabel('x [m]')\n", "plt.ylabel('y [m]')" ] }, { "cell_type": "markdown", "id": "81e7074b", "metadata": {}, "source": [ "### SquaredSum\n", "\n", "The SquaredSum model is often used in combination with wake deficit models where the downstream wakes are scaled with the ambient free-stream velocity to avoid negative wind speeds. It is, however, a method to compensate for an inconsistent formulation, see section 2.2 in https://backend.orbit.dtu.dk/ws/portalfiles/portal/151671395/Park2_Documentation_and_Validation.pdf" ] }, { "cell_type": "code", "execution_count": 4, "id": "606bb041", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'y [m]')" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from py_wake.superposition_models import SquaredSum\n", "\n", "squared_sum = Bastankhah_PorteAgel_2014(site, windTurbines, k=0.0324555, superpositionModel=SquaredSum())\n", "plt.figure(figsize=(10,4))\n", "squared_sum([0,200],[0,0],wd=270,ws=10).flow_map().plot_wake_map(levels=np.arange(0,10))\n", "plt.xlabel('x [m]')\n", "plt.ylabel('y [m]')" ] }, { "cell_type": "markdown", "id": "f5f339bf", "metadata": {}, "source": [ "### MaxSum" ] }, { "cell_type": "code", "execution_count": 5, "id": "827b57ef", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'y [m]')" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from py_wake.superposition_models import MaxSum\n", "\n", "max_sum = Bastankhah_PorteAgel_2014(site, windTurbines, k=0.0324555, superpositionModel=MaxSum())\n", "plt.figure(figsize=(10,4))\n", "max_sum([0,200],[0,0],wd=270,ws=10).flow_map().plot_wake_map(levels=np.arange(0,10))\n", "plt.xlabel('x [m]')\n", "plt.ylabel('y [m]')" ] }, { "cell_type": "markdown", "id": "202c91a5", "metadata": {}, "source": [ "### SqrMaxSum" ] }, { "cell_type": "code", "execution_count": 6, "id": "2a3e5db4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'y [m]')" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from py_wake.superposition_models import SqrMaxSum\n", "\n", "max_sum = Bastankhah_PorteAgel_2014(site, windTurbines, k=0.0324555, superpositionModel=MaxSum())\n", "plt.figure(figsize=(10,4))\n", "max_sum([0,200],[0,0],wd=270,ws=10).flow_map().plot_wake_map(levels=np.arange(0,10))\n", "plt.xlabel('x [m]')\n", "plt.ylabel('y [m]')" ] }, { "cell_type": "markdown", "id": "ce7ddf93", "metadata": {}, "source": [ "### WeightedSum" ] }, { "cell_type": "code", "execution_count": 7, "id": "7b9db281", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'y [m]')" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from py_wake.superposition_models import WeightedSum\n", "\n", "weighted_sum = Zong_PorteAgel_2020(site, windTurbines, use_effective_ws=True)\n", "\n", "plt.figure(figsize=(10,4))\n", "weighted_sum([0,200],[0,0],wd=270,ws=10).flow_map().plot_wake_map(levels=np.arange(0,10))\n", "plt.xlabel('x [m]')\n", "plt.ylabel('y [m]')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }