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working on data validation

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This commit is contained in:
Georg ´Brantegger
2022-09-14 15:13:44 +02:00
parent e9f7aa92a0
commit 137182ab10
8 changed files with 10901 additions and 14 deletions
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3
.gitignore vendored
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@@ -4,4 +4,5 @@
*.pyc
Messing Around/
Messing Around/messy_nb.ipynb
Validation Data/
Validation Data/*.txt
Validation Data/*.jpg

47
Untertweng.ipynb
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@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -24,7 +24,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -95,7 +95,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -117,7 +117,7 @@
"KW_OL.add_turbine(OL_T1)\n",
"KW_OL.add_turbine(OL_T2)\n",
"\n",
"KW_OL.set_steady_state(flux_init,OL_T1_p_nenn)\n",
"KW_OL.set_steady_state_by_flux(flux_init,OL_T1_p_nenn)\n",
"\n",
"# downstream turbines\n",
"UL_T1 = Francis_Turbine(UL_T1_Q_nenn,UL_T1_p_nenn,UL_T1_closingTime,Pip_dt,pUnit_conv)\n",
@@ -127,7 +127,7 @@
"KW_UL.add_turbine(UL_T1)\n",
"KW_UL.add_turbine(UL_T2)\n",
"\n",
"KW_UL.set_steady_state(flux_init,pipe.get_current_pressure_distribution()[-1])\n",
"KW_UL.set_steady_state_by_flux(flux_init,pipe.get_current_pressure_distribution()[-1])\n",
"\n",
"# level controller\n",
"level_control = PI_controller_class(Con_targetLevel,Con_deadbandRange,Con_K_p,Con_T_i,Pip_dt)\n",
@@ -136,7 +136,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
@@ -209,7 +209,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -244,9 +244,30 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 6,
"metadata": {},
"outputs": [],
"outputs": [
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mv:\\georg\\Documents\\Persönliche Dokumente\\Arbeit\\Kelag\\Coding\\Python\\DT_Slot_3\\Kelag_DT_Slot_3\\Untertweng.ipynb Cell 6\u001b[0m in \u001b[0;36m<cell line: 5>\u001b[1;34m()\u001b[0m\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Untertweng.ipynb#W5sZmlsZQ%3D%3D?line=63'>64</a>\u001b[0m lo_qmax\u001b[39m.\u001b[39mremove()\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Untertweng.ipynb#W5sZmlsZQ%3D%3D?line=64'>65</a>\u001b[0m \u001b[39m# plot new pressure and velocity distribution in the pipeline\u001b[39;00m\n\u001b[1;32m---> <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Untertweng.ipynb#W5sZmlsZQ%3D%3D?line=65'>66</a>\u001b[0m lo_p, \u001b[39m=\u001b[39m axs1[\u001b[39m0\u001b[39;49m]\u001b[39m.\u001b[39;49mplot(Pip_x_vec,pressure_conversion(pipe\u001b[39m.\u001b[39;49mget_current_pressure_distribution()\u001b[39m-\u001b[39;49mp_0,pUnit_calc,pUnit_conv),marker\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39m.\u001b[39;49m\u001b[39m'\u001b[39;49m,c\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mblue\u001b[39;49m\u001b[39m'\u001b[39;49m)\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Untertweng.ipynb#W5sZmlsZQ%3D%3D?line=66'>67</a>\u001b[0m lo_pmin, \u001b[39m=\u001b[39m axs1[\u001b[39m0\u001b[39m]\u001b[39m.\u001b[39mplot(Pip_x_vec,pressure_conversion(pipe\u001b[39m.\u001b[39mget_lowest_pressure_per_node()\u001b[39m-\u001b[39mp_0,pUnit_calc,pUnit_conv),c\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mred\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Untertweng.ipynb#W5sZmlsZQ%3D%3D?line=67'>68</a>\u001b[0m lo_pmax, \u001b[39m=\u001b[39m axs1[\u001b[39m0\u001b[39m]\u001b[39m.\u001b[39mplot(Pip_x_vec,pressure_conversion(pipe\u001b[39m.\u001b[39mget_highest_pressure_per_node()\u001b[39m-\u001b[39mp_0,pUnit_calc,pUnit_conv),c\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mred\u001b[39m\u001b[39m'\u001b[39m)\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\axes\\_axes.py:1634\u001b[0m, in \u001b[0;36mAxes.plot\u001b[1;34m(self, scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1632\u001b[0m lines \u001b[39m=\u001b[39m [\u001b[39m*\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_lines(\u001b[39m*\u001b[39margs, data\u001b[39m=\u001b[39mdata, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)]\n\u001b[0;32m 1633\u001b[0m \u001b[39mfor\u001b[39;00m line \u001b[39min\u001b[39;00m lines:\n\u001b[1;32m-> 1634\u001b[0m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49madd_line(line)\n\u001b[0;32m 1635\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_request_autoscale_view(scalex\u001b[39m=\u001b[39mscalex, scaley\u001b[39m=\u001b[39mscaley)\n\u001b[0;32m 1636\u001b[0m \u001b[39mreturn\u001b[39;00m lines\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\axes\\_base.py:2281\u001b[0m, in \u001b[0;36m_AxesBase.add_line\u001b[1;34m(self, line)\u001b[0m\n\u001b[0;32m 2279\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_set_artist_props(line)\n\u001b[0;32m 2280\u001b[0m \u001b[39mif\u001b[39;00m line\u001b[39m.\u001b[39mget_clip_path() \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m-> 2281\u001b[0m line\u001b[39m.\u001b[39;49mset_clip_path(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mpatch)\n\u001b[0;32m 2283\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_update_line_limits(line)\n\u001b[0;32m 2284\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m line\u001b[39m.\u001b[39mget_label():\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\artist.py:790\u001b[0m, in \u001b[0;36mArtist.set_clip_path\u001b[1;34m(self, path, transform)\u001b[0m\n\u001b[0;32m 787\u001b[0m \u001b[39mif\u001b[39;00m transform \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m 788\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(path, Rectangle):\n\u001b[0;32m 789\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mclipbox \u001b[39m=\u001b[39m TransformedBbox(Bbox\u001b[39m.\u001b[39munit(),\n\u001b[1;32m--> 790\u001b[0m path\u001b[39m.\u001b[39;49mget_transform())\n\u001b[0;32m 791\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_clippath \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m 792\u001b[0m success \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\patches.py:278\u001b[0m, in \u001b[0;36mPatch.get_transform\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 276\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mget_transform\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m 277\u001b[0m \u001b[39m\"\"\"Return the `~.transforms.Transform` applied to the `Patch`.\"\"\"\u001b[39;00m\n\u001b[1;32m--> 278\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mget_patch_transform() \u001b[39m+\u001b[39m artist\u001b[39m.\u001b[39mArtist\u001b[39m.\u001b[39mget_transform(\u001b[39mself\u001b[39m)\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\patches.py:754\u001b[0m, in \u001b[0;36mRectangle.get_patch_transform\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 747\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mget_patch_transform\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[0;32m 748\u001b[0m \u001b[39m# Note: This cannot be called until after this has been added to\u001b[39;00m\n\u001b[0;32m 749\u001b[0m \u001b[39m# an Axes, otherwise unit conversion will fail. This makes it very\u001b[39;00m\n\u001b[0;32m 750\u001b[0m \u001b[39m# important to call the accessor method and not directly access the\u001b[39;00m\n\u001b[0;32m 751\u001b[0m \u001b[39m# transformation member variable.\u001b[39;00m\n\u001b[0;32m 752\u001b[0m bbox \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_bbox()\n\u001b[0;32m 753\u001b[0m \u001b[39mreturn\u001b[39;00m (transforms\u001b[39m.\u001b[39mBboxTransformTo(bbox)\n\u001b[1;32m--> 754\u001b[0m \u001b[39m+\u001b[39m transforms\u001b[39m.\u001b[39;49mAffine2D()\u001b[39m.\u001b[39;49mrotate_deg_around(\n\u001b[0;32m 755\u001b[0m bbox\u001b[39m.\u001b[39;49mx0, bbox\u001b[39m.\u001b[39;49my0, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mangle))\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\transforms.py:2042\u001b[0m, in \u001b[0;36mAffine2D.rotate_deg_around\u001b[1;34m(self, x, y, degrees)\u001b[0m\n\u001b[0;32m 2040\u001b[0m \u001b[39m# Cast to float to avoid wraparound issues with uint8's\u001b[39;00m\n\u001b[0;32m 2041\u001b[0m x, y \u001b[39m=\u001b[39m \u001b[39mfloat\u001b[39m(x), \u001b[39mfloat\u001b[39m(y)\n\u001b[1;32m-> 2042\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtranslate(\u001b[39m-\u001b[39;49mx, \u001b[39m-\u001b[39;49my)\u001b[39m.\u001b[39;49mrotate_deg(degrees)\u001b[39m.\u001b[39mtranslate(x, y)\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\transforms.py:2020\u001b[0m, in \u001b[0;36mAffine2D.rotate_deg\u001b[1;34m(self, degrees)\u001b[0m\n\u001b[0;32m 2012\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mrotate_deg\u001b[39m(\u001b[39mself\u001b[39m, degrees):\n\u001b[0;32m 2013\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m 2014\u001b[0m \u001b[39m Add a rotation (in degrees) to this transform in place.\u001b[39;00m\n\u001b[0;32m 2015\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 2018\u001b[0m \u001b[39m and :meth:`scale`.\u001b[39;00m\n\u001b[0;32m 2019\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[1;32m-> 2020\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mrotate(math\u001b[39m.\u001b[39;49mradians(degrees))\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\site-packages\\matplotlib\\transforms.py:2008\u001b[0m, in \u001b[0;36mAffine2D.rotate\u001b[1;34m(self, theta)\u001b[0m\n\u001b[0;32m 2005\u001b[0m b \u001b[39m=\u001b[39m math\u001b[39m.\u001b[39msin(theta)\n\u001b[0;32m 2006\u001b[0m rotate_mtx \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([[a, \u001b[39m-\u001b[39mb, \u001b[39m0.0\u001b[39m], [b, a, \u001b[39m0.0\u001b[39m], [\u001b[39m0.0\u001b[39m, \u001b[39m0.0\u001b[39m, \u001b[39m1.0\u001b[39m]],\n\u001b[0;32m 2007\u001b[0m \u001b[39mfloat\u001b[39m)\n\u001b[1;32m-> 2008\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_mtx \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49mdot(rotate_mtx, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_mtx)\n\u001b[0;32m 2009\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39minvalidate()\n\u001b[0;32m 2010\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\n",
"File \u001b[1;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36mdot\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"# needed for turbine convergence\n",
"convergence_parameters = [p_old[-2],v_old[-2],Pip_dia,Pip_area,Pip_angle,Pip_f_D,Pip_pw_vel,rho,Pip_dt,p_old[-1]]\n",
@@ -328,7 +349,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -394,7 +415,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -450,7 +471,7 @@
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.8.13 ('Georg_DT_Slot3')",
"display_name": "Python 3.8.13 ('DT_Slot_3')",
"language": "python",
"name": "python3"
},
@@ -469,7 +490,7 @@
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "84fb123bdc47ab647d3782661abcbe80fbb79236dd2f8adf4cef30e8755eb2cd"
"hash": "4a28055eb8a3160fa4c7e4fca69770c4e0a1add985300856aa3fcf4ce32a2c48"
}
}
},

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{
"cells": [
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import time\n",
"from datetime import datetime\n",
"import matplotlib.pyplot as plt\n",
"from scipy import interpolate\n",
"\n",
"import sys\n",
"import os\n",
"current = os.path.dirname(os.path.realpath('Main_Programm.ipynb'))\n",
"parent = os.path.dirname(current)\n",
"sys.path.append(parent)\n",
"from functions.pressure_conversion import pressure_conversion\n",
"from Ausgleichsbecken.Ausgleichsbecken_class_file import Ausgleichsbecken_class\n",
"from Druckrohrleitung.Druckrohrleitung_class_file import Druckrohrleitung_class\n",
"from Turbinen.Turbinen_class_file import Francis_Turbine\n",
"from Regler.Regler_class_file import PI_controller_class\n",
"from Kraftwerk.Kraftwerk_class_file import Kraftwerk_class"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\georg\\AppData\\Local\\Temp\\ipykernel_35632\\1290488230.py:2: ParserWarning: Length of header or names does not match length of data. This leads to a loss of data with index_col=False.\n",
" raw_data = pd.read_csv(\"2015_08_25 15.20 M12 SS100%.csv\",sep=\";\",header=7,index_col=False)\n"
]
}
],
"source": [
"# import validation data\n",
"raw_data = pd.read_csv(\"2015_08_25 15.20 M12 SS100%.csv\",sep=\";\",header=7,index_col=False)\n",
"raw_data.replace({',': '.'}, regex=True,inplace=True)\n",
"time_format = \"%m/%d/%Y %I:%M:%S.%f %p\"\n",
"\n",
"col_names = ['timestamp','M1-LA','M2-LA','Druck']\n",
"df = pd.DataFrame(columns=col_names)\n",
"\n",
"df['timestamp'] = pd.to_datetime(raw_data[\"Date/Time\"],format=time_format).astype(np.int64)/10**9\n",
"df['M1-LA'] = pd.to_numeric(raw_data['M1-LA'])/100\n",
"df['M2-LA'] = pd.to_numeric(raw_data['M2-LA'])/100\n",
"df['Druck'] = pd.to_numeric(raw_data['P-DRL'])\n",
"\n",
"val_t_vec_raw = np.array(df['timestamp']-df['timestamp'][0])\n",
"val_LA1_vec_raw = np.array(df['M1-LA']) \n",
"val_LA2_vec_raw = np.array(df['M2-LA'])\n",
"val_p_vec_raw = pressure_conversion(np.array(df['Druck']),'bar','Pa')\n",
"\n",
"\n",
"val_LA1_vec_raw[val_LA1_vec_raw<0]=0\n",
"val_LA2_vec_raw[val_LA2_vec_raw<0]=0\n",
"\n",
"\n",
"val_LA1_vec_fun = interpolate.interp1d(val_t_vec_raw,val_LA1_vec_raw)\n",
"val_LA2_vec_fun = interpolate.interp1d(val_t_vec_raw,val_LA2_vec_raw)\n",
"val_p_vec_fun = interpolate.interp1d(val_t_vec_raw,val_p_vec_raw)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# define constants\n",
"\n",
" # for physics\n",
"g = 9.81 # [m/s²] gravitational acceleration \n",
"rho = 1000. # [kg/m³] density of water \n",
"pUnit_calc = 'Pa' # [string] DO NOT CHANGE! for pressure conversion in print statements and plot labels \n",
"pUnit_conv = 'mWS' # [string] for pressure conversion in print statements and plot labels\n",
"\n",
" # for KW OL \n",
"OL_T1_Q_nenn = 0.85 # [m³/s] nominal flux of turbine \n",
"OL_T1_p_nenn = pressure_conversion(10.6,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
"OL_T1_closingTime = 10. # [s] closing time of turbine\n",
"\n",
"OL_T2_Q_nenn = 0.85/2 # [m³/s] nominal flux of turbine \n",
"OL_T2_p_nenn = pressure_conversion(10.6,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
"OL_T2_closingTime = 10. # [s] closing time of turbine\n",
"\n",
" # for KW UL\n",
"UL_T1_Q_nenn = 0.85 # [m³/s] nominal flux of turbine \n",
"UL_T1_p_nenn = pressure_conversion(10.6,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
"UL_T1_closingTime = 10. # [s] closing time of turbine\n",
"\n",
"UL_T2_Q_nenn = 0.85/2 # [m³/s] nominal flux of turbine \n",
"UL_T2_p_nenn = pressure_conversion(10.6,'bar',pUnit_calc) # [Pa] nominal pressure of turbine \n",
"UL_T2_closingTime = 10. # [s] closing time of turbine\n",
"\n",
" # for PI controller\n",
"Con_targetLevel = 6. # [m]\n",
"Con_K_p = 0.1 # [-] proportional constant of PI controller\n",
"Con_T_i = 1000. # [s] timespan in which a steady state error is corrected by the intergal term\n",
"Con_deadbandRange = 0.05 # [m] Deadband range around targetLevel for which the controller does NOT intervene\n",
"\n",
" # for pipeline\n",
"Pip_length = (535.+478.) # [m] length of pipeline\n",
"Pip_dia = 0.9 # [m] diameter of pipeline\n",
"Pip_area = Pip_dia**2/4*np.pi # [m²] crossectional area of pipeline\n",
"Pip_head = 105. # [m] hydraulic head of pipeline without reservoir\n",
"Pip_angle = np.arcsin(Pip_head/Pip_length) # [rad] elevation angle of pipeline \n",
"Pip_n_seg = 50 # [-] number of pipe segments in discretization\n",
"Pip_f_D = 0.014 # [-] Darcy friction factor\n",
"Pip_pw_vel = 500. # [m/s] propagation velocity of the pressure wave (pw) in the given pipeline\n",
" # derivatives of the pipeline constants\n",
"Pip_dx = Pip_length/Pip_n_seg # [m] length of each pipe segment\n",
"Pip_dt = Pip_dx/Pip_pw_vel # [s] timestep according to method of characteristics\n",
"Pip_nn = Pip_n_seg+1 # [1] number of nodes\n",
"Pip_x_vec = np.arange(0,Pip_nn,1)*Pip_dx # [m] vector holding the distance of each node from the upstream reservoir along the pipeline\n",
"Pip_h_vec = np.arange(0,Pip_nn,1)*Pip_head/Pip_n_seg # [m] vector holding the vertival distance of each node from the upstream reservoir\n",
"\n",
" # for reservoir\n",
"Res_area_base = 74. # [m²] total base are of the cuboid reservoir \n",
"Res_area_out = Pip_area # [m²] outflux area of the reservoir, given by pipeline area\n",
"Res_level_crit_lo = 0. # [m] for yet-to-be-implemented warnings\n",
"Res_level_crit_hi = np.inf # [m] for yet-to-be-implemented warnings\n",
"Res_dt_approx = 1e-3 # [s] approx. timestep of reservoir time evolution to ensure numerical stability (see Res_nt why approx.)\n",
"Res_nt = max(1,int(Pip_dt//Res_dt_approx)) # [1] number of timesteps of the reservoir time evolution within one timestep of the pipeline\n",
"Res_dt = Pip_dt/Res_nt # [s] harmonised timestep of reservoir time evolution\n",
"\n",
" # for general simulation\n",
"flux_init = (OL_T1_Q_nenn+OL_T2_Q_nenn)/1.1 # [m³/s] initial flux through whole system for steady state initialization \n",
"level_init = Con_targetLevel # [m] initial water level in upstream reservoir for steady state initialization\n",
"simTime_target = val_t_vec_raw[-1] # [s] target for total simulation time (will vary slightly to fit with Pip_dt)\n",
"nt = int(simTime_target//Pip_dt) # [1] Number of timesteps of the whole system\n",
"t_vec = np.arange(0,nt+1,1)*Pip_dt # [s] time vector. At each step of t_vec the system parameters are stored\n",
"\n",
"\n",
"val_LA1_vec = val_LA1_vec_fun(t_vec)\n",
"val_LA2_vec = val_LA2_vec_fun(t_vec)\n",
"val_p_vec = val_p_vec_fun(t_vec)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"# create objects\n",
"\n",
"# downstream turbines\n",
"UL_T1 = Francis_Turbine(UL_T1_Q_nenn,UL_T1_p_nenn,UL_T1_closingTime,Pip_dt,pUnit_conv)\n",
"UL_T2 = Francis_Turbine(UL_T2_Q_nenn,UL_T2_p_nenn,UL_T2_closingTime,Pip_dt,pUnit_conv)\n",
"\n",
"KW_UL = Kraftwerk_class()\n",
"KW_UL.add_turbine(UL_T1)\n",
"KW_UL.add_turbine(UL_T2)\n",
"\n",
"KW_UL.set_steady_state_by_LA(LA_vec=[val_LA1_vec_raw[0],val_LA2_vec_raw[0]],ss_pressure=val_p_vec_raw[0]) \n",
"flux_init = KW_UL.get_current_Q()\n",
"\n",
"# Upstream reservoir\n",
"reservoir = Ausgleichsbecken_class(Res_area_base,Res_area_out,Res_dt,pUnit_conv,Res_level_crit_lo,Res_level_crit_hi,rho)\n",
"reservoir.set_steady_state(flux_init,level_init)\n",
"\n",
"# pipeline\n",
"pipe = Druckrohrleitung_class(Pip_length,Pip_dia,Pip_head,Pip_n_seg,Pip_f_D,Pip_pw_vel,Pip_dt,pUnit_conv,rho)\n",
"pipe.set_steady_state(flux_init,reservoir.get_current_pressure())\n",
"\n",
"# influx setting turbines\n",
"OL_T1 = Francis_Turbine(OL_T1_Q_nenn,OL_T1_p_nenn,OL_T1_closingTime,Pip_dt,pUnit_conv)\n",
"OL_T2 = Francis_Turbine(OL_T2_Q_nenn,OL_T2_p_nenn,OL_T2_closingTime,Pip_dt,pUnit_conv)\n",
"\n",
"KW_OL = Kraftwerk_class()\n",
"KW_OL.add_turbine(OL_T1)\n",
"KW_OL.add_turbine(OL_T2)\n",
"\n",
"KW_OL.set_steady_state_by_flux(flux_init,OL_T1_p_nenn)\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"# initialization for Timeloop\n",
"\n",
"# pipeline\n",
"v_old = pipe.get_current_velocity_distribution() # storing the velocity from the last timestep\n",
"v_min = pipe.get_lowest_velocity_per_node() # storing minimal flux velocity at each node\n",
"v_max = pipe.get_highest_velocity_per_node() # storing maximal flux velocity at each node\n",
"Q_old = pipe.get_current_flux_distribution() # storing the flux from the last timestep\n",
"Q_min = pipe.get_lowest_flux_per_node() # storing minimal flux at each node\n",
"Q_max = pipe.get_highest_flux_per_node() # storing maximal flux at each node\n",
"p_old = pipe.get_current_pressure_distribution() # storing the pressure from the last timestep\n",
"p_min = pipe.get_lowest_pressure_per_node() # storing minimal pressure at each node\n",
"p_max = pipe.get_highest_pressure_per_node() # storing maximal pressure at each node\n",
"p_0 = pipe.get_initial_pressure_distribution() # storing initial pressure at each node\n",
"\n",
"v_boundary_res = np.zeros_like(t_vec) # storing the boundary velocity at the reservoir\n",
"v_boundary_tur = np.zeros_like(t_vec) # storing the boundary velocity at the turbine\n",
"Q_boundary_res = np.zeros_like(t_vec) # storing the boundary flux at the reservoir\n",
"Q_boundary_tur = np.zeros_like(t_vec) # storing the boundary flux at the turbine\n",
"p_boundary_res = np.zeros_like(t_vec) # storing the boundary pressure at the reservoir\n",
"p_boundary_tur = np.zeros_like(t_vec) # storing the boundary pressure at the turbine\n",
"\n",
"v_boundary_res[0] = v_old[0] # storing the initial value for the boundary velocity at the reservoir\n",
"v_boundary_tur[0] = v_old[-1] # storing the initial value for the boundary velocity at the turbine\n",
"Q_boundary_res[0] = Q_old[0] # storing the initial value for the boundary flux at the reservoir\n",
"Q_boundary_tur[0] = Q_old[-1] # storing the initial value for the boundary flux at the turbine\n",
"p_boundary_res[0] = p_old[0] # storing the initial value for the boundary pressure at the reservoir\n",
"p_boundary_tur[0] = p_old[-1] # storing the initial value for the boundary pressure at the turbine\n",
"\n",
"# reservoir\n",
"Q_in_vec = np.zeros_like(t_vec) # storing the influx to the reservoir\n",
"Q_in_vec[0] = flux_init # storing the initial influx to the reservoir\n",
"# Outflux from reservoir is stored in Q_boundary_res\n",
"level_vec = np.zeros_like(t_vec) # storing the level in the reservoir at the end of each pipeline timestep\n",
"level_vec[0] = level_init # storing the initial level in the reservoir\n",
"volume_vec = np.zeros_like(t_vec) # storing the volume in the reservoir at the end of each pipeline timestep\n",
"volume_vec[0] = reservoir.get_current_volume() # storing the initial volume in the reservoir\n",
"\n",
"# OL KW\n",
" # manual input to modulate influx\n",
"OL_T1_LA_soll_vec = np.full_like(t_vec,OL_T1.get_current_LA())\n",
"\n",
"OL_T2_LA_soll_vec = np.full_like(t_vec,OL_T2.get_current_LA()) # storing the target value for the guide van opening\n",
"\n",
"OL_T1_LA_ist_vec = np.zeros_like(t_vec) # storing the actual value of the guide vane opening\n",
"OL_T1_LA_ist_vec[0] = OL_T1.get_current_LA() # storing the initial value of the guide vane opening\n",
"\n",
"OL_T2_LA_ist_vec = np.zeros_like(t_vec) # storing the actual value of the guide vane opening\n",
"OL_T2_LA_ist_vec[0] = OL_T2.get_current_LA() # storing the initial value of the guide vane opening\n",
"\n",
"# UL KW\n",
"UL_T1_LA_soll_vec = val_LA1_vec # storing the target value of the guide vane opening\n",
"UL_T1_LA_soll_vec[0] = UL_T1.get_current_LA() # storing the initial value of the guide vane opening\n",
"\n",
"UL_T2_LA_soll_vec = val_LA2_vec # storing the target value of the guide vane opening\n",
"\n",
"UL_T1_LA_ist_vec = np.zeros_like(t_vec) # storing the actual value of the guide vane opening\n",
"UL_T1_LA_ist_vec[0] = UL_T1.get_current_LA() # storing the initial value of the guide vane opening\n",
"\n",
"UL_T2_LA_ist_vec = np.zeros_like(t_vec) # storing the actual value of the guide vane opening\n",
"UL_T2_LA_ist_vec[0] = UL_T2.get_current_LA() # storing the initial value of the guide vane opening\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib qt5\n",
"\n",
"\n",
"fig1,axs1 = plt.subplots(3,1)\n",
"fig1.suptitle(str(0) +' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
"axs1[0].set_title('Pressure distribution in pipeline')\n",
"axs1[0].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
"axs1[0].set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
"axs1[0].set_ylim([-40,140])\n",
"axs1[1].set_title('Pressure distribution in pipeline \\n Difference to t=0')\n",
"axs1[1].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
"axs1[1].set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
"axs1[1].set_ylim([-50,30])\n",
"axs1[2].set_title('Flux distribution in pipeline')\n",
"axs1[2].set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
"axs1[2].set_ylabel(r'$Q$ [$\\mathrm{m}^3 / \\mathrm{s}$]')\n",
"axs1[2].set_ylim([-0.1,1.3])\n",
"lo_0, = axs1[0].plot(Pip_x_vec,pressure_conversion(p_old,pUnit_calc, pUnit_conv),marker='.')\n",
"lo_0min, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
"lo_0max, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
"lo_1, = axs1[1].plot(Pip_x_vec,pressure_conversion(p_old-p_0,pUnit_calc, pUnit_conv),marker='.')\n",
"lo_1min, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
"lo_1max, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
"lo_2, = axs1[1].plot(Pip_x_vec,Q_old,marker='.')\n",
"lo_2min, = axs1[2].plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
"lo_2max, = axs1[2].plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
"\n",
"# axs1[0].autoscale()\n",
"# axs1[1].autoscale()\n",
"\n",
"fig1.tight_layout()\n",
"fig1.show()\n",
"plt.pause(1)\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"# needed for turbine convergence\n",
"convergence_parameters = [p_old[-2],v_old[-2],Pip_dia,Pip_area,Pip_angle,Pip_f_D,Pip_pw_vel,rho,Pip_dt,p_old[-1]]\n",
"\n",
"# loop through time steps of the pipeline\n",
"for it_pipe in range(1,nt+1):\n",
"\n",
" KW_OL.update_LAs([OL_T1_LA_soll_vec[it_pipe],OL_T2_LA_soll_vec[it_pipe]])\n",
" KW_OL.set_pressure(OL_T1_p_nenn)\n",
" Q_in_vec[it_pipe] = KW_OL.get_current_Q()\n",
" reservoir.set_influx(Q_in_vec[it_pipe])\n",
"\n",
"# for each pipeline timestep, execute Res_nt timesteps of the reservoir code\n",
" # set initial condition for the reservoir time evolution calculted with the timestep_reservoir_evolution() method\n",
" reservoir.set_pressure(p_old[0],display_warning=False)\n",
" reservoir.set_outflux(Q_old[0],display_warning=False)\n",
" # calculate the time evolution of the reservoir level within each pipeline timestep to avoid runaway numerical error\n",
" for it_res in range(Res_nt):\n",
" reservoir.timestep_reservoir_evolution() \n",
" level_vec[it_pipe] = reservoir.get_current_level() \n",
" volume_vec[it_pipe] = reservoir.get_current_volume() \n",
" \n",
" # change the guide vane opening based on the target value and closing time limitation\n",
" KW_UL.update_LAs([UL_T1_LA_soll_vec[it_pipe],UL_T2_LA_soll_vec[it_pipe]])\n",
" OL_T1_LA_ist_vec[it_pipe], OL_T2_LA_ist_vec[it_pipe] = KW_OL.get_current_LAs()\n",
" UL_T1_LA_ist_vec[it_pipe], UL_T2_LA_ist_vec[it_pipe] = KW_UL.get_current_LAs()\n",
"\n",
" # set boundary condition for the next timestep of the characteristic method\n",
" convergence_parameters[0] = p_old[-2]\n",
" convergence_parameters[1] = v_old[-2]\n",
" convergence_parameters[9] = p_old[-1]\n",
" KW_UL.set_pressure(p_old[-1])\n",
" KW_UL.converge(convergence_parameters)\n",
" p_boundary_res[it_pipe] = reservoir.get_current_pressure()\n",
" v_boundary_tur[it_pipe] = 1/Pip_area*KW_UL.get_current_Q()\n",
" Q_boundary_tur[it_pipe] = KW_UL.get_current_Q()\n",
"\n",
" # the the boundary condition in the pipe.object and thereby calculate boundary pressure at turbine\n",
" pipe.set_boundary_conditions_next_timestep(p_boundary_res[it_pipe],v_boundary_tur[it_pipe])\n",
" # pipe.v[0] = (0.8*pipe.v[0]+0.2*reservoir.get_current_outflux()/Res_area_out) # unnecessary\n",
" p_boundary_tur[it_pipe] = pipe.get_current_pressure_distribution()[-1]\n",
" v_boundary_res[it_pipe] = pipe.get_current_velocity_distribution()[0]\n",
" Q_boundary_res[it_pipe] = pipe.get_current_flux_distribution()[0]\n",
"\n",
" # perform the next timestep via the characteristic method\n",
" pipe.timestep_characteristic_method_vectorized()\n",
"\n",
" # prepare for next loop\n",
" p_old = pipe.get_current_pressure_distribution()\n",
" v_old = pipe.get_current_velocity_distribution()\n",
" Q_old = pipe.get_current_flux_distribution()\n",
"\n",
" # plot some stuff\n",
" # remove line-objects to autoscale axes (there is definetly a better way, but this works ¯\\_(ツ)_/¯ )\n",
" if it_pipe%25 == 0:\n",
" lo_0.remove()\n",
" lo_0min.remove()\n",
" lo_0max.remove()\n",
" lo_1.remove()\n",
" lo_1min.remove()\n",
" lo_1max.remove()\n",
" lo_2.remove()\n",
" lo_2min.remove()\n",
" lo_2max.remove()\n",
" # plot new pressure and velocity distribution in the pipeline\n",
" lo_0, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_current_pressure_distribution(),pUnit_calc,pUnit_conv),marker='.',c='blue')\n",
" lo_0min, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red')\n",
" lo_0max, = axs1[0].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node(),pUnit_calc,pUnit_conv),c='red') \n",
" lo_1, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_current_pressure_distribution()-p_0,pUnit_calc,pUnit_conv),marker='.',c='blue')\n",
" lo_1min, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_lowest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
" lo_1max, = axs1[1].plot(Pip_x_vec,pressure_conversion(pipe.get_highest_pressure_per_node()-p_0,pUnit_calc,pUnit_conv),c='red')\n",
" lo_2, = axs1[2].plot(Pip_x_vec,pipe.get_current_flux_distribution(),marker='.',c='blue')\n",
" lo_2min, = axs1[2].plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
" lo_2max, = axs1[2].plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
" fig1.suptitle(str(round(t_vec[it_pipe],2))+ ' s / '+str(round(t_vec[-1],2)) + ' s' )\n",
" fig1.canvas.draw()\n",
" fig1.tight_layout()\n",
" fig1.show()\n",
" plt.pause(0.00000001) "
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"fig2,axs2 = plt.subplots(1,1)\n",
"axs2.set_title('Level and Volume reservoir')\n",
"axs2.plot(t_vec,level_vec,label='level')\n",
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs2.set_ylabel(r'$h$ [m]')\n",
"x_twin_00 = axs2.twinx()\n",
"x_twin_00.set_ylabel(r'$V$ [$\\mathrm{m}^3$]')\n",
"x_twin_00.plot(t_vec,volume_vec)\n",
"axs2.legend()\n",
"\n",
"fig2,axs2 = plt.subplots(1,1)\n",
"axs2.set_title('LA')\n",
"axs2.plot(t_vec,100*OL_T1_LA_soll_vec,label='OL_T1 Target',c='b')\n",
"axs2.scatter(t_vec[::200],100*OL_T1_LA_ist_vec[::200],label='OL_T1 Actual',c='b',marker='+')\n",
"axs2.plot(t_vec,100*OL_T2_LA_soll_vec,label='OL_T2 Target',c='g')\n",
"axs2.scatter(t_vec[::200],100*OL_T2_LA_ist_vec[::200],label='OL_T2 Actual',c='g',marker='+')\n",
"axs2.plot(t_vec,100*UL_T1_LA_soll_vec,label='UL_T1 Target',c='r')\n",
"axs2.scatter(t_vec[::200],100*UL_T1_LA_ist_vec[::200],label='UL_T1 Actual',c='r',marker='+')\n",
"axs2.plot(t_vec,100*UL_T2_LA_soll_vec,label='UL_T2 Target',c='k')\n",
"axs2.scatter(t_vec[::200],100*UL_T2_LA_ist_vec[::200],label='UL_T2 Actual',c='k',marker='+')\n",
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs2.set_ylabel(r'$LA$ [%]')\n",
"axs2.legend()\n",
"\n",
"fig2,axs2 = plt.subplots(1,1)\n",
"axs2.set_title('Pressure change vs t=0 at reservoir and turbine')\n",
"axs2.plot(t_vec,pressure_conversion(p_boundary_res-p_boundary_res[0],pUnit_calc, pUnit_conv),label='Reservoir')\n",
"axs2.plot(t_vec,pressure_conversion(p_boundary_tur-p_boundary_tur[0],pUnit_calc, pUnit_conv),label='Turbine')\n",
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs2.set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
"axs2.legend()\n",
"\n",
"fig2,axs2 = plt.subplots(1,1)\n",
"axs2.set_title('Fluxes')\n",
"axs2.plot(t_vec,Q_in_vec,label='Influx')\n",
"axs2.plot(t_vec,Q_boundary_res,label='Outflux')\n",
"axs2.scatter(t_vec[::200],Q_boundary_tur[::200],label='Flux Turbine',c='g',marker='+')\n",
"axs2.set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs2.set_ylabel(r'$Q$ [$\\mathrm{m}^3/\\mathrm{s}$]')\n",
"axs2.legend()\n",
"\n",
"# fig2,axs2 = plt.subplots(1,1)\n",
"# axs2.set_title('Min and Max Pressure')\n",
"# axs2.plot(Pip_x_vec,pipe.get_lowest_pressure_per_node(disp_flag=True),c='red')\n",
"# axs2.plot(Pip_x_vec,pipe.get_highest_pressure_per_node(disp_flag=True),c='red')\n",
"# axs2.set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
"# axs2.set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
"\n",
"# fig2,axs2 = plt.subplots(1,1)\n",
"# axs2.set_title('Min and Max Fluxes')\n",
"# axs2.plot(Pip_x_vec,pipe.get_lowest_flux_per_node(),c='red')\n",
"# axs2.plot(Pip_x_vec,pipe.get_highest_flux_per_node(),c='red')\n",
"# axs2.set_xlabel(r'$x$ [$\\mathrm{m}$]')\n",
"# axs2.set_ylabel(r'$Q$ [$\\mathrm{m}^3/\\mathrm{s}$]')\n",
"\n",
"\n",
"fig2.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"fig3,axs3 = plt.subplots(2,2)\n",
"axs3[0,0].set_title('Level and Volume reservoir')\n",
"axs3[0,0].plot(t_vec,level_vec,label='level')\n",
"axs3[0,0].set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs3[0,0].set_ylabel(r'$h$ [m]')\n",
"x_twin_00 = axs3[0,0].twinx()\n",
"x_twin_00.set_ylabel(r'$V$ [$\\mathrm{m}^3$]')\n",
"x_twin_00.plot(t_vec,volume_vec)\n",
"axs3[0,0].legend()\n",
"\n",
"axs3[0,1].set_title('LA')\n",
"axs3[0,1].plot(t_vec,100*OL_T1_LA_soll_vec,label='OL_T1 Target',c='b')\n",
"axs3[0,1].scatter(t_vec[::200],100*OL_T1_LA_ist_vec[::200],label='OL_T1 Actual',c='b',marker='+')\n",
"axs3[0,1].plot(t_vec,100*OL_T2_LA_soll_vec,label='OL_T2 Target',c='g')\n",
"axs3[0,1].scatter(t_vec[::200],100*OL_T2_LA_ist_vec[::200],label='OL_T2 Actual',c='g',marker='+')\n",
"axs3[0,1].plot(t_vec,100*UL_T1_LA_soll_vec,label='UL_T1 Target',c='r')\n",
"axs3[0,1].scatter(t_vec[::200],100*UL_T1_LA_ist_vec[::200],label='UL_T1 Actual',c='r',marker='+')\n",
"axs3[0,1].plot(t_vec,100*UL_T2_LA_soll_vec,label='UL_T2 Target',c='k')\n",
"axs3[0,1].scatter(t_vec[::200],100*UL_T2_LA_ist_vec[::200],label='UL_T2 Actual',c='k',marker='+')\n",
"axs3[0,1].set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs3[0,1].set_ylabel(r'$LA$ [%]')\n",
"axs3[0,1].legend()\n",
"\n",
"axs3[1,0].set_title('Fluxes')\n",
"axs3[1,0].plot(t_vec,Q_in_vec,label='Influx')\n",
"axs3[1,0].plot(t_vec,Q_boundary_res,label='Outflux')\n",
"axs3[1,0].scatter(t_vec[::200],Q_boundary_tur[::200],label='Flux Turbine',c='g',marker='+')\n",
"axs3[1,0].set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs3[1,0].set_ylabel(r'$Q$ [$\\mathrm{m}^3/\\mathrm{s}$]')\n",
"axs3[1,0].legend()\n",
"\n",
"axs3[1,1].set_title('Pressure change vs t=0 at reservoir and turbine')\n",
"axs3[1,1].plot(t_vec,pressure_conversion(p_boundary_res-p_boundary_res[0],pUnit_calc, pUnit_conv),label='Reservoir')\n",
"axs3[1,1].plot(t_vec,pressure_conversion(p_boundary_tur-p_boundary_tur[0],pUnit_calc, pUnit_conv),label='Turbine')\n",
"axs3[1,1].set_xlabel(r'$t$ [$\\mathrm{s}$]')\n",
"axs3[1,1].set_ylabel(r'$p$ ['+pUnit_conv+']')\n",
"axs3[1,1].legend()\n",
"\n",
"fig3.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x13cc3266b20>]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"figure = plt.figure()\n",
"plt.plot(t_vec,pressure_conversion(p_boundary_tur,'Pa','mWS'))\n",
"plt.plot(t_vec,pressure_conversion(val_p_vec,'Pa','mWS'),marker='+')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.8.13 ('DT_Slot_3')",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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},
"nbformat": 4,
"nbformat_minor": 2
}

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{
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import time\n",
"from datetime import datetime\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"def unpack_line(str):\n",
" index_1 = str.find(';')\n",
" index_2 = str.find(';',index_1)\n",
" index_3 = str.find(';',index_2)\n",
" index_4 = str.find(';',index_3)\n",
" index_5 = str.find(';',index_4)\n",
" parameter = str[0:index_1]\n",
" value = str[index_2:index_3]\n",
" timestamp = str[index_5:] \n",
" return parameter,value,timestamp\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"ename": "KeyboardInterrupt",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mv:\\georg\\Documents\\Persönliche Dokumente\\Arbeit\\Kelag\\Coding\\Python\\DT_Slot_3\\Kelag_DT_Slot_3\\Validation Data\\read_validation_data_long.ipynb Cell 3\u001b[0m in \u001b[0;36m<cell line: 7>\u001b[1;34m()\u001b[0m\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m timestamp_old \u001b[39m=\u001b[39m \u001b[39m0.\u001b[39m\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=6'>7</a>\u001b[0m \u001b[39mwith\u001b[39;00m \u001b[39mopen\u001b[39m(\u001b[39m'\u001b[39m\u001b[39mAugust_1_22.txt\u001b[39m\u001b[39m'\u001b[39m) \u001b[39mas\u001b[39;00m txt_file:\n\u001b[1;32m----> <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m \u001b[39mfor\u001b[39;00m line \u001b[39min\u001b[39;00m txt_file:\n\u001b[0;32m <a href='vscode-notebook-cell:/v%3A/georg/Documents/Pers%C3%B6nliche%20Dokumente/Arbeit/Kelag/Coding/Python/DT_Slot_3/Kelag_DT_Slot_3/Validation%20Data/read_validation_data_long.ipynb#W1sZmlsZQ%3D%3D?line=8'>9</a>\u001b[0m parameter_new, value_new, timestamp_new \u001b[39m=\u001b[39m unpack_line(line)\n",
"File \u001b[1;32mc:\\Users\\georg\\anaconda3\\envs\\DT_Slot_3\\lib\\encodings\\cp1252.py:22\u001b[0m, in \u001b[0;36mIncrementalDecoder.decode\u001b[1;34m(self, input, final)\u001b[0m\n\u001b[0;32m 21\u001b[0m \u001b[39mclass\u001b[39;00m \u001b[39mIncrementalDecoder\u001b[39;00m(codecs\u001b[39m.\u001b[39mIncrementalDecoder):\n\u001b[1;32m---> 22\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdecode\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39minput\u001b[39m, final\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m):\n\u001b[0;32m 23\u001b[0m \u001b[39mreturn\u001b[39;00m codecs\u001b[39m.\u001b[39mcharmap_decode(\u001b[39minput\u001b[39m,\u001b[39mself\u001b[39m\u001b[39m.\u001b[39merrors,decoding_table)[\u001b[39m0\u001b[39m]\n",
"\u001b[1;31mKeyboardInterrupt\u001b[0m: "
]
}
],
"source": [
"df = pd.DataFrame(columns=['Timestamp','M1-LA','M1-Druck','M2-LA','M2-Druck'])\n",
"\n",
"\n",
"parameter_old = ''\n",
"value_old = 0.\n",
"timestamp_old = 0.\n",
"value_list = []\n",
"timestamp_list = []\n",
"with open('August_1_22.txt') as txt_file:\n",
" for line in txt_file:\n",
" parameter_new, value_new, timestamp_new = unpack_line(line)\n",
" if parameter_new != parameter_old:\n",
" if parameter_old islike \"\"\n",
" \n",
" value_list = []\n",
" timestamp_list = []\n",
"\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.8.13 ('DT_Slot_3')",
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},
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}

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