1610 lines
355 KiB
Text
1610 lines
355 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"import pvlib"
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]
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},
|
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{
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||
"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"import pandas as pd\n",
|
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"import matplotlib.pyplot as plt"
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]
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},
|
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{
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||
"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"import scipy\n",
|
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"from scipy.io import loadmat"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"The Polydome experiments have been done in the following order, begining and end dates:\n",
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"\n",
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"| No | Start Date | End Date |\n",
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"|----|------------------|------------------|\n",
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"| 1 | 01.06.2017 20:00 | 03.06.2017 17:00 |\n",
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"| 2 | 10.06.2017 16:00 | 12.06.2017 06:00 |\n",
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"| 3 | 16.06.2017 20:00 | 19.06.2017 06:00 |\n",
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"| 4 | 19.06.2017 20:00 | 22.06.2017 06:00 |\n",
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"| 5 | 30.06.2017 20:00 | 03.07.2017 06:00 |\n",
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"| 6 | 07.07.2017 20:00 | 10.07.2017 06:00 |\n",
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"| 7 | 13.07.2017 20:00 | 20.07.2017 06:00 |\n",
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"| 8 | 21.07.2017 20:00 | 24.07.2017 06:00 |"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Load the experimental data pertaining to the `seventh` experiment:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
|
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"exp_id = 'Exp7'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['Power',\n",
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" 'Setpoint',\n",
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" 'OutsideTemp',\n",
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" 'SupplyTemp',\n",
|
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" 'InsideTemp',\n",
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" 'LakeTemp',\n",
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" 'SolRad',\n",
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" 'SolRad_DA']"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"mat_exp1 = loadmat(f'../Data/Luca_experimental_data/{exp_id}.mat')\n",
|
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"measured_vals = [*mat_exp1[exp_id].dtype.fields]\n",
|
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"measured_vals"
|
||
]
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},
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{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
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"metadata": {},
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||
"outputs": [],
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"source": [
|
||
"def df_from_mb_struct(mb_mat, field):\n",
|
||
" df_field = pd.DataFrame({\n",
|
||
" 'timestamp': pd.Series(np.array(mb_mat[field][0,0]['time'][0,0]).flatten()),\n",
|
||
" 'value': pd.Series(np.array(mb_mat[field][0,0]['values'][0,0]).flatten())\n",
|
||
" })\n",
|
||
" df_field['timestamp'] = pd.to_datetime(df_field['timestamp'], unit = 's', utc = False) + pd.Timedelta(2, 'hours')\n",
|
||
" df_field['timestamp'] = pd.DatetimeIndex(df_field['timestamp'], tz = 'Europe/Zurich')\n",
|
||
" df_field.set_index('timestamp', inplace = True, drop = True)\n",
|
||
" df_field.columns = [field]\n",
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" \n",
|
||
" return df_field"
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||
]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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"dict_dfs = {}\n",
|
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"for var in measured_vals:\n",
|
||
" dict_dfs[var] = df_from_mb_struct(mat_exp1[exp_id], var)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Power</th>\n",
|
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" <th>Setpoint</th>\n",
|
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" <th>OutsideTemp</th>\n",
|
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" <th>SupplyTemp</th>\n",
|
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" <th>InsideTemp</th>\n",
|
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" <th>LakeTemp</th>\n",
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" <th>SolRad</th>\n",
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" <th>SolRad_DA</th>\n",
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" <tr>\n",
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" <th>timestamp</th>\n",
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" <th></th>\n",
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" <th>2017-07-13 20:00:00+02:00</th>\n",
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" <td>1688.827586</td>\n",
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" <td>22.5</td>\n",
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" <td>24.0</td>\n",
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" <td>23.9</td>\n",
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" <td>22.666667</td>\n",
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" <td>157.0</td>\n",
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" <tr>\n",
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" <th>2017-07-13 20:05:00+02:00</th>\n",
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" <td>5298.965517</td>\n",
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" <td>22.5</td>\n",
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" <td>15.5</td>\n",
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" <td>22.933333</td>\n",
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" <td>121.538700</td>\n",
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" <td>111.5</td>\n",
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" <tr>\n",
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" <th>2017-07-13 20:10:00+02:00</th>\n",
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" <td>6061.344828</td>\n",
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" <td>22.5</td>\n",
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" <td>14.3</td>\n",
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" <th>2017-07-13 20:15:00+02:00</th>\n",
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" <td>6062.466667</td>\n",
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" <td>163.710150</td>\n",
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" <td>111.5</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2017-07-13 20:20:00+02:00</th>\n",
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" <td>5447.482759</td>\n",
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" <td>22.5</td>\n",
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" <td>24.0</td>\n",
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" <td>14.0</td>\n",
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" <td>22.6</td>\n",
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" <tr>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <th>2017-07-20 05:35:00+02:00</th>\n",
|
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" <td>1679.517241</td>\n",
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" <td>22.5</td>\n",
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" <td>22.0</td>\n",
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" <td>23.6</td>\n",
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" <td>23.2</td>\n",
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" <td>22.333333</td>\n",
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" <td>3.260000</td>\n",
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" <td>0.0</td>\n",
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" <tr>\n",
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" <th>2017-07-20 05:40:00+02:00</th>\n",
|
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" <td>1675.666667</td>\n",
|
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" <td>22.5</td>\n",
|
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" <td>22.0</td>\n",
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" <td>23.6</td>\n",
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" <td>23.2</td>\n",
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" <td>22.266667</td>\n",
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" <td>3.250000</td>\n",
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" <td>0.0</td>\n",
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" <tr>\n",
|
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" <th>2017-07-20 05:45:00+02:00</th>\n",
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" <td>1679.137931</td>\n",
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" <td>23.6</td>\n",
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" <td>23.2</td>\n",
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" <td>0.0</td>\n",
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" <tr>\n",
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" <th>2017-07-20 05:50:00+02:00</th>\n",
|
||
" <td>1674.206897</td>\n",
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" <td>22.5</td>\n",
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" <td>22.0</td>\n",
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" <td>23.6</td>\n",
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" <td>23.2</td>\n",
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" <tr>\n",
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" <th>2017-07-20 05:55:00+02:00</th>\n",
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" <td>1674.233333</td>\n",
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" <td>22.5</td>\n",
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" <td>22.0</td>\n",
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" <td>23.6</td>\n",
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" <td>23.2</td>\n",
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" <td>22.400000</td>\n",
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" <td>3.380000</td>\n",
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" <td>0.0</td>\n",
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" </tr>\n",
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" </tbody>\n",
|
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"</table>\n",
|
||
"<p>1848 rows × 8 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Power Setpoint OutsideTemp SupplyTemp \\\n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 1688.827586 22.5 24.0 23.9 \n",
|
||
"2017-07-13 20:05:00+02:00 5298.965517 22.5 24.0 15.5 \n",
|
||
"2017-07-13 20:10:00+02:00 6061.344828 22.5 24.0 14.3 \n",
|
||
"2017-07-13 20:15:00+02:00 6062.466667 22.5 24.0 14.0 \n",
|
||
"2017-07-13 20:20:00+02:00 5447.482759 22.5 24.0 14.0 \n",
|
||
"... ... ... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 1679.517241 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:40:00+02:00 1675.666667 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:45:00+02:00 1679.137931 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:50:00+02:00 1674.206897 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:55:00+02:00 1674.233333 22.5 22.0 23.6 \n",
|
||
"\n",
|
||
" InsideTemp LakeTemp SolRad SolRad_DA \n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 23.2 22.666667 91.714933 157.0 \n",
|
||
"2017-07-13 20:05:00+02:00 23.5 22.933333 121.538700 111.5 \n",
|
||
"2017-07-13 20:10:00+02:00 23.5 22.733333 101.481617 111.5 \n",
|
||
"2017-07-13 20:15:00+02:00 22.9 22.700000 163.710150 111.5 \n",
|
||
"2017-07-13 20:20:00+02:00 22.6 22.666667 90.039567 111.5 \n",
|
||
"... ... ... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 23.2 22.333333 3.260000 0.0 \n",
|
||
"2017-07-20 05:40:00+02:00 23.2 22.266667 3.250000 0.0 \n",
|
||
"2017-07-20 05:45:00+02:00 23.2 22.300000 3.240000 0.0 \n",
|
||
"2017-07-20 05:50:00+02:00 23.2 22.266667 3.340000 0.0 \n",
|
||
"2017-07-20 05:55:00+02:00 23.2 22.400000 3.380000 0.0 \n",
|
||
"\n",
|
||
"[1848 rows x 8 columns]"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df = dict_dfs[measured_vals[0]]\n",
|
||
"\n",
|
||
"for idx in range(1, len(measured_vals)):\n",
|
||
" df = pd.concat([df, dict_dfs[measured_vals[idx]]], axis = 1)\n",
|
||
"df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df['Power'] = df['Power'] - 1.67 * 1000 # remove the fan power consumption\n",
|
||
"df['Power'] = np.where(df['Power'] > 6300, 6300, df['Power']) # cap to 1 compressor to remove non-linear effects"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Take the inside temperature to be the average of the two sensors (`InsideTemp` and `LakeTemp`):"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df['InsideTemp'] = df[['LakeTemp', 'InsideTemp']].mean(axis = 1) # Averaged Inside Temperature"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
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|
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|
||
" <th>Power</th>\n",
|
||
" <th>Setpoint</th>\n",
|
||
" <th>OutsideTemp</th>\n",
|
||
" <th>SupplyTemp</th>\n",
|
||
" <th>InsideTemp</th>\n",
|
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" <th>SolRad</th>\n",
|
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|
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" <td>22.5</td>\n",
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" <th>2017-07-13 20:05:00+02:00</th>\n",
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" <tr>\n",
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" <th>2017-07-13 20:10:00+02:00</th>\n",
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" <td>4391.344828</td>\n",
|
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" <td>22.5</td>\n",
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||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:15:00+02:00</th>\n",
|
||
" <td>4392.466667</td>\n",
|
||
" <td>22.5</td>\n",
|
||
" <td>24.0</td>\n",
|
||
" <td>14.0</td>\n",
|
||
" <td>22.800000</td>\n",
|
||
" <td>163.710150</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:20:00+02:00</th>\n",
|
||
" <td>3777.482759</td>\n",
|
||
" <td>22.5</td>\n",
|
||
" <td>24.0</td>\n",
|
||
" <td>14.0</td>\n",
|
||
" <td>22.633333</td>\n",
|
||
" <td>90.039567</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:35:00+02:00</th>\n",
|
||
" <td>9.517241</td>\n",
|
||
" <td>22.5</td>\n",
|
||
" <td>22.0</td>\n",
|
||
" <td>23.6</td>\n",
|
||
" <td>22.766667</td>\n",
|
||
" <td>3.260000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:40:00+02:00</th>\n",
|
||
" <td>5.666667</td>\n",
|
||
" <td>22.5</td>\n",
|
||
" <td>22.0</td>\n",
|
||
" <td>23.6</td>\n",
|
||
" <td>22.733333</td>\n",
|
||
" <td>3.250000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:45:00+02:00</th>\n",
|
||
" <td>9.137931</td>\n",
|
||
" <td>22.5</td>\n",
|
||
" <td>22.0</td>\n",
|
||
" <td>23.6</td>\n",
|
||
" <td>22.750000</td>\n",
|
||
" <td>3.240000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:50:00+02:00</th>\n",
|
||
" <td>4.206897</td>\n",
|
||
" <td>22.5</td>\n",
|
||
" <td>22.0</td>\n",
|
||
" <td>23.6</td>\n",
|
||
" <td>22.733333</td>\n",
|
||
" <td>3.340000</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:55:00+02:00</th>\n",
|
||
" <td>4.233333</td>\n",
|
||
" <td>22.5</td>\n",
|
||
" <td>22.0</td>\n",
|
||
" <td>23.6</td>\n",
|
||
" <td>22.800000</td>\n",
|
||
" <td>3.380000</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>1848 rows × 6 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Power Setpoint OutsideTemp SupplyTemp \\\n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 18.827586 22.5 24.0 23.9 \n",
|
||
"2017-07-13 20:05:00+02:00 3628.965517 22.5 24.0 15.5 \n",
|
||
"2017-07-13 20:10:00+02:00 4391.344828 22.5 24.0 14.3 \n",
|
||
"2017-07-13 20:15:00+02:00 4392.466667 22.5 24.0 14.0 \n",
|
||
"2017-07-13 20:20:00+02:00 3777.482759 22.5 24.0 14.0 \n",
|
||
"... ... ... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 9.517241 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:40:00+02:00 5.666667 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:45:00+02:00 9.137931 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:50:00+02:00 4.206897 22.5 22.0 23.6 \n",
|
||
"2017-07-20 05:55:00+02:00 4.233333 22.5 22.0 23.6 \n",
|
||
"\n",
|
||
" InsideTemp SolRad \n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 22.933333 91.714933 \n",
|
||
"2017-07-13 20:05:00+02:00 23.216667 121.538700 \n",
|
||
"2017-07-13 20:10:00+02:00 23.116667 101.481617 \n",
|
||
"2017-07-13 20:15:00+02:00 22.800000 163.710150 \n",
|
||
"2017-07-13 20:20:00+02:00 22.633333 90.039567 \n",
|
||
"... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 22.766667 3.260000 \n",
|
||
"2017-07-20 05:40:00+02:00 22.733333 3.250000 \n",
|
||
"2017-07-20 05:45:00+02:00 22.750000 3.240000 \n",
|
||
"2017-07-20 05:50:00+02:00 22.733333 3.340000 \n",
|
||
"2017-07-20 05:55:00+02:00 22.800000 3.380000 \n",
|
||
"\n",
|
||
"[1848 rows x 6 columns]"
|
||
]
|
||
},
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.drop(columns = ['LakeTemp', 'SolRad_DA'], inplace = True) # Drop GHI prediction and the non-averaged inside temp measure\n",
|
||
"df"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Solar angles"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Get altitude information for Polydome GPS coordinates:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<img src=\"Images/polydome_altitude.png\" alt=\"Polydome Altitude Source\" width=\"500\"/>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"latitude = 46.521476\n",
|
||
"longitude = 6.569009\n",
|
||
"altitude = 395"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Compute the solar position from GPS/altitude data:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<img src=\"Images/solar_angles.png\" alt=\"Diagram of the zenith/azimuth angles definition\" width=\"500\"/>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>apparent_zenith</th>\n",
|
||
" <th>zenith</th>\n",
|
||
" <th>apparent_elevation</th>\n",
|
||
" <th>elevation</th>\n",
|
||
" <th>azimuth</th>\n",
|
||
" <th>equation_of_time</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>timestamp</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:00:00+02:00</th>\n",
|
||
" <td>77.726968</td>\n",
|
||
" <td>77.795211</td>\n",
|
||
" <td>12.273032</td>\n",
|
||
" <td>12.204789</td>\n",
|
||
" <td>288.783339</td>\n",
|
||
" <td>-5.802162</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:05:00+02:00</th>\n",
|
||
" <td>78.534908</td>\n",
|
||
" <td>78.607746</td>\n",
|
||
" <td>11.465092</td>\n",
|
||
" <td>11.392254</td>\n",
|
||
" <td>289.630841</td>\n",
|
||
" <td>-5.802550</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:10:00+02:00</th>\n",
|
||
" <td>79.337991</td>\n",
|
||
" <td>79.416004</td>\n",
|
||
" <td>10.662009</td>\n",
|
||
" <td>10.583996</td>\n",
|
||
" <td>290.480180</td>\n",
|
||
" <td>-5.802939</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:15:00+02:00</th>\n",
|
||
" <td>80.135916</td>\n",
|
||
" <td>80.219798</td>\n",
|
||
" <td>9.864084</td>\n",
|
||
" <td>9.780202</td>\n",
|
||
" <td>291.331669</td>\n",
|
||
" <td>-5.803327</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:20:00+02:00</th>\n",
|
||
" <td>80.928349</td>\n",
|
||
" <td>81.018937</td>\n",
|
||
" <td>9.071651</td>\n",
|
||
" <td>8.981063</td>\n",
|
||
" <td>292.185610</td>\n",
|
||
" <td>-5.803715</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:35:00+02:00</th>\n",
|
||
" <td>94.508501</td>\n",
|
||
" <td>94.508501</td>\n",
|
||
" <td>-4.508501</td>\n",
|
||
" <td>-4.508501</td>\n",
|
||
" <td>53.359623</td>\n",
|
||
" <td>-6.350089</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:40:00+02:00</th>\n",
|
||
" <td>93.814709</td>\n",
|
||
" <td>93.814709</td>\n",
|
||
" <td>-3.814709</td>\n",
|
||
" <td>-3.814709</td>\n",
|
||
" <td>54.303944</td>\n",
|
||
" <td>-6.350290</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:45:00+02:00</th>\n",
|
||
" <td>93.112672</td>\n",
|
||
" <td>93.112672</td>\n",
|
||
" <td>-3.112672</td>\n",
|
||
" <td>-3.112672</td>\n",
|
||
" <td>55.241364</td>\n",
|
||
" <td>-6.350492</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:50:00+02:00</th>\n",
|
||
" <td>92.402637</td>\n",
|
||
" <td>92.402637</td>\n",
|
||
" <td>-2.402637</td>\n",
|
||
" <td>-2.402637</td>\n",
|
||
" <td>56.172104</td>\n",
|
||
" <td>-6.350693</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:55:00+02:00</th>\n",
|
||
" <td>91.684848</td>\n",
|
||
" <td>91.684848</td>\n",
|
||
" <td>-1.684848</td>\n",
|
||
" <td>-1.684848</td>\n",
|
||
" <td>57.096386</td>\n",
|
||
" <td>-6.350894</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>1848 rows × 6 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" apparent_zenith zenith apparent_elevation \\\n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 77.726968 77.795211 12.273032 \n",
|
||
"2017-07-13 20:05:00+02:00 78.534908 78.607746 11.465092 \n",
|
||
"2017-07-13 20:10:00+02:00 79.337991 79.416004 10.662009 \n",
|
||
"2017-07-13 20:15:00+02:00 80.135916 80.219798 9.864084 \n",
|
||
"2017-07-13 20:20:00+02:00 80.928349 81.018937 9.071651 \n",
|
||
"... ... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 94.508501 94.508501 -4.508501 \n",
|
||
"2017-07-20 05:40:00+02:00 93.814709 93.814709 -3.814709 \n",
|
||
"2017-07-20 05:45:00+02:00 93.112672 93.112672 -3.112672 \n",
|
||
"2017-07-20 05:50:00+02:00 92.402637 92.402637 -2.402637 \n",
|
||
"2017-07-20 05:55:00+02:00 91.684848 91.684848 -1.684848 \n",
|
||
"\n",
|
||
" elevation azimuth equation_of_time \n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 12.204789 288.783339 -5.802162 \n",
|
||
"2017-07-13 20:05:00+02:00 11.392254 289.630841 -5.802550 \n",
|
||
"2017-07-13 20:10:00+02:00 10.583996 290.480180 -5.802939 \n",
|
||
"2017-07-13 20:15:00+02:00 9.780202 291.331669 -5.803327 \n",
|
||
"2017-07-13 20:20:00+02:00 8.981063 292.185610 -5.803715 \n",
|
||
"... ... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 -4.508501 53.359623 -6.350089 \n",
|
||
"2017-07-20 05:40:00+02:00 -3.814709 54.303944 -6.350290 \n",
|
||
"2017-07-20 05:45:00+02:00 -3.112672 55.241364 -6.350492 \n",
|
||
"2017-07-20 05:50:00+02:00 -2.402637 56.172104 -6.350693 \n",
|
||
"2017-07-20 05:55:00+02:00 -1.684848 57.096386 -6.350894 \n",
|
||
"\n",
|
||
"[1848 rows x 6 columns]"
|
||
]
|
||
},
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_solarposition = pvlib.solarposition.get_solarposition(\n",
|
||
" time = df.index,\n",
|
||
" latitude = latitude, \n",
|
||
" longitude = longitude,\n",
|
||
" temperature = df['OutsideTemp'],\n",
|
||
" altitude = altitude\n",
|
||
")\n",
|
||
"df_solarposition"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Check the difference between the real/geometrical zenith and the apparent zenith:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_solarposition[['apparent_zenith', 'zenith']].plot()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Compute the angle of incidence of the sun on the surface: "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"<img src=\"Images/angle_of_incidence.jpg\" alt=\"Angle of incidence\" width=\"500\"/>"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"surface_tilt = 0\n",
|
||
"surface_azimuth = 0"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"timestamp\n",
|
||
"2017-07-13 20:00:00+02:00 77.726968\n",
|
||
"2017-07-13 20:05:00+02:00 78.534908\n",
|
||
"2017-07-13 20:10:00+02:00 79.337991\n",
|
||
"2017-07-13 20:15:00+02:00 80.135916\n",
|
||
"2017-07-13 20:20:00+02:00 80.928349\n",
|
||
" ... \n",
|
||
"2017-07-20 05:35:00+02:00 94.508501\n",
|
||
"2017-07-20 05:40:00+02:00 93.814709\n",
|
||
"2017-07-20 05:45:00+02:00 93.112672\n",
|
||
"2017-07-20 05:50:00+02:00 92.402637\n",
|
||
"2017-07-20 05:55:00+02:00 91.684848\n",
|
||
"Name: aoi, Length: 1848, dtype: float64"
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_aoi = pvlib.irradiance.aoi(\n",
|
||
" surface_tilt = surface_tilt,\n",
|
||
" surface_azimuth = surface_azimuth,\n",
|
||
" solar_zenith = df_solarposition['apparent_zenith'],\n",
|
||
" solar_azimuth = df_solarposition['azimuth']\n",
|
||
")\n",
|
||
"df_aoi"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Solar radiation"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
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|
||
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|
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|
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||
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" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>dni</th>\n",
|
||
" <th>dhi</th>\n",
|
||
" <th>kt</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>timestamp</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:00:00+02:00</th>\n",
|
||
" <td>32.174594</td>\n",
|
||
" <td>84.913015</td>\n",
|
||
" <td>0.328436</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:05:00+02:00</th>\n",
|
||
" <td>167.597825</td>\n",
|
||
" <td>88.433972</td>\n",
|
||
" <td>0.465824</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:10:00+02:00</th>\n",
|
||
" <td>104.009389</td>\n",
|
||
" <td>82.377507</td>\n",
|
||
" <td>0.418275</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:15:00+02:00</th>\n",
|
||
" <td>767.555215</td>\n",
|
||
" <td>33.326318</td>\n",
|
||
" <td>0.729609</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:20:00+02:00</th>\n",
|
||
" <td>126.334677</td>\n",
|
||
" <td>70.317711</td>\n",
|
||
" <td>0.436653</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" dni dhi kt\n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 32.174594 84.913015 0.328436\n",
|
||
"2017-07-13 20:05:00+02:00 167.597825 88.433972 0.465824\n",
|
||
"2017-07-13 20:10:00+02:00 104.009389 82.377507 0.418275\n",
|
||
"2017-07-13 20:15:00+02:00 767.555215 33.326318 0.729609\n",
|
||
"2017-07-13 20:20:00+02:00 126.334677 70.317711 0.436653"
|
||
]
|
||
},
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_erbs = pvlib.irradiance.erbs(\n",
|
||
" ghi = df['SolRad'],\n",
|
||
" zenith = df_solarposition['zenith'],\n",
|
||
" datetime_or_doy = df.index\n",
|
||
")\n",
|
||
"df_erbs.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"erbs_ghi = df_erbs['dhi'] + df_erbs['dni']*np.cos(np.radians(df_solarposition['zenith']))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Compare `erbs_ghi` with measured ghi to confirm they are the same:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"pd.concat([df['SolRad'], erbs_ghi], axis = 1).plot()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Compute the in-plane irradiance components:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"timestamp\n",
|
||
"2017-07-13 20:00:00+02:00 84.913015\n",
|
||
"2017-07-13 20:05:00+02:00 88.433972\n",
|
||
"2017-07-13 20:10:00+02:00 82.377507\n",
|
||
"2017-07-13 20:15:00+02:00 33.326318\n",
|
||
"2017-07-13 20:20:00+02:00 70.317711\n",
|
||
" ... \n",
|
||
"2017-07-20 05:35:00+02:00 3.260000\n",
|
||
"2017-07-20 05:40:00+02:00 3.250000\n",
|
||
"2017-07-20 05:45:00+02:00 3.240000\n",
|
||
"2017-07-20 05:50:00+02:00 3.340000\n",
|
||
"2017-07-20 05:55:00+02:00 3.380000\n",
|
||
"Name: dhi, Length: 1848, dtype: float64"
|
||
]
|
||
},
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"#poa_sky_diffuse\n",
|
||
"df_sky_diffuse = pvlib.irradiance.get_sky_diffuse(\n",
|
||
" surface_tilt = surface_tilt,\n",
|
||
" surface_azimuth = surface_azimuth,\n",
|
||
" solar_zenith = df_solarposition['apparent_zenith'],\n",
|
||
" solar_azimuth = df_solarposition['azimuth'],\n",
|
||
" dni = df_erbs['dni'],\n",
|
||
" ghi = df['SolRad'],\n",
|
||
" dhi = df_erbs['dhi'],\n",
|
||
")\n",
|
||
"df_sky_diffuse"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"timestamp\n",
|
||
"2017-07-13 20:00:00+02:00 0.0\n",
|
||
"2017-07-13 20:05:00+02:00 0.0\n",
|
||
"2017-07-13 20:10:00+02:00 0.0\n",
|
||
"2017-07-13 20:15:00+02:00 0.0\n",
|
||
"2017-07-13 20:20:00+02:00 0.0\n",
|
||
" ... \n",
|
||
"2017-07-20 05:35:00+02:00 0.0\n",
|
||
"2017-07-20 05:40:00+02:00 0.0\n",
|
||
"2017-07-20 05:45:00+02:00 0.0\n",
|
||
"2017-07-20 05:50:00+02:00 0.0\n",
|
||
"2017-07-20 05:55:00+02:00 0.0\n",
|
||
"Name: diffuse_ground, Length: 1848, dtype: float64"
|
||
]
|
||
},
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"#poa_ground_diffuse\n",
|
||
"df_ground_diffuse = pvlib.irradiance.get_ground_diffuse(\n",
|
||
" surface_tilt = surface_tilt,\n",
|
||
" ghi = df['SolRad'],\n",
|
||
" surface_type = 'urban' # used for gound_diffuse calculation\n",
|
||
")\n",
|
||
"df_ground_diffuse"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {
|
||
"scrolled": true
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
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" vertical-align: middle;\n",
|
||
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|
||
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|
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|
||
" vertical-align: top;\n",
|
||
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|
||
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|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>poa_global</th>\n",
|
||
" <th>poa_direct</th>\n",
|
||
" <th>poa_diffuse</th>\n",
|
||
" <th>poa_sky_diffuse</th>\n",
|
||
" <th>poa_ground_diffuse</th>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>timestamp</th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" <th></th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:00:00+02:00</th>\n",
|
||
" <td>91.752384</td>\n",
|
||
" <td>6.839369</td>\n",
|
||
" <td>84.913015</td>\n",
|
||
" <td>84.913015</td>\n",
|
||
" <td>0.0</td>\n",
|
||
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|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:05:00+02:00</th>\n",
|
||
" <td>121.747537</td>\n",
|
||
" <td>33.313565</td>\n",
|
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" <td>88.433972</td>\n",
|
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|
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|
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|
||
" <th>2017-07-13 20:10:00+02:00</th>\n",
|
||
" <td>101.620807</td>\n",
|
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" <td>19.243300</td>\n",
|
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" <td>82.377507</td>\n",
|
||
" <td>82.377507</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-13 20:15:00+02:00</th>\n",
|
||
" <td>164.817387</td>\n",
|
||
" <td>131.491069</td>\n",
|
||
" <td>33.326318</td>\n",
|
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" <td>33.326318</td>\n",
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|
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" <tr>\n",
|
||
" <th>2017-07-13 20:20:00+02:00</th>\n",
|
||
" <td>90.236835</td>\n",
|
||
" <td>19.919124</td>\n",
|
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" <td>70.317711</td>\n",
|
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" <td>70.317711</td>\n",
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" <td>0.0</td>\n",
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||
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|
||
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|
||
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|
||
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|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:35:00+02:00</th>\n",
|
||
" <td>3.260000</td>\n",
|
||
" <td>-0.000000</td>\n",
|
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" <td>3.260000</td>\n",
|
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" <td>3.260000</td>\n",
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" <td>0.0</td>\n",
|
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|
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" <tr>\n",
|
||
" <th>2017-07-20 05:40:00+02:00</th>\n",
|
||
" <td>3.250000</td>\n",
|
||
" <td>-0.000000</td>\n",
|
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" <td>3.250000</td>\n",
|
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" <td>3.250000</td>\n",
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|
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|
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" <tr>\n",
|
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" <th>2017-07-20 05:45:00+02:00</th>\n",
|
||
" <td>3.240000</td>\n",
|
||
" <td>-0.000000</td>\n",
|
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" <td>3.240000</td>\n",
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" <td>3.240000</td>\n",
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" <td>0.0</td>\n",
|
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|
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" <tr>\n",
|
||
" <th>2017-07-20 05:50:00+02:00</th>\n",
|
||
" <td>3.340000</td>\n",
|
||
" <td>-0.000000</td>\n",
|
||
" <td>3.340000</td>\n",
|
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" <td>3.340000</td>\n",
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" <td>0.0</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2017-07-20 05:55:00+02:00</th>\n",
|
||
" <td>3.380000</td>\n",
|
||
" <td>-0.000000</td>\n",
|
||
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|
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|
||
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|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>1848 rows × 5 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" poa_global poa_direct poa_diffuse \\\n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 91.752384 6.839369 84.913015 \n",
|
||
"2017-07-13 20:05:00+02:00 121.747537 33.313565 88.433972 \n",
|
||
"2017-07-13 20:10:00+02:00 101.620807 19.243300 82.377507 \n",
|
||
"2017-07-13 20:15:00+02:00 164.817387 131.491069 33.326318 \n",
|
||
"2017-07-13 20:20:00+02:00 90.236835 19.919124 70.317711 \n",
|
||
"... ... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 3.260000 -0.000000 3.260000 \n",
|
||
"2017-07-20 05:40:00+02:00 3.250000 -0.000000 3.250000 \n",
|
||
"2017-07-20 05:45:00+02:00 3.240000 -0.000000 3.240000 \n",
|
||
"2017-07-20 05:50:00+02:00 3.340000 -0.000000 3.340000 \n",
|
||
"2017-07-20 05:55:00+02:00 3.380000 -0.000000 3.380000 \n",
|
||
"\n",
|
||
" poa_sky_diffuse poa_ground_diffuse \n",
|
||
"timestamp \n",
|
||
"2017-07-13 20:00:00+02:00 84.913015 0.0 \n",
|
||
"2017-07-13 20:05:00+02:00 88.433972 0.0 \n",
|
||
"2017-07-13 20:10:00+02:00 82.377507 0.0 \n",
|
||
"2017-07-13 20:15:00+02:00 33.326318 0.0 \n",
|
||
"2017-07-13 20:20:00+02:00 70.317711 0.0 \n",
|
||
"... ... ... \n",
|
||
"2017-07-20 05:35:00+02:00 3.260000 0.0 \n",
|
||
"2017-07-20 05:40:00+02:00 3.250000 0.0 \n",
|
||
"2017-07-20 05:45:00+02:00 3.240000 0.0 \n",
|
||
"2017-07-20 05:50:00+02:00 3.340000 0.0 \n",
|
||
"2017-07-20 05:55:00+02:00 3.380000 0.0 \n",
|
||
"\n",
|
||
"[1848 rows x 5 columns]"
|
||
]
|
||
},
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_poa_components = pvlib.irradiance.poa_components(\n",
|
||
" aoi = df_aoi,\n",
|
||
" dni = df_erbs['dni'],\n",
|
||
" poa_sky_diffuse = df_sky_diffuse,\n",
|
||
" poa_ground_diffuse = df_ground_diffuse\n",
|
||
")\n",
|
||
"df_poa_components"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"timestamp\n",
|
||
"2017-07-13 20:00:00+02:00 91.714933\n",
|
||
"2017-07-13 20:05:00+02:00 121.538700\n",
|
||
"2017-07-13 20:10:00+02:00 101.481617\n",
|
||
"2017-07-13 20:15:00+02:00 163.710150\n",
|
||
"2017-07-13 20:20:00+02:00 90.039567\n",
|
||
" ... \n",
|
||
"2017-07-20 05:35:00+02:00 3.260000\n",
|
||
"2017-07-20 05:40:00+02:00 3.250000\n",
|
||
"2017-07-20 05:45:00+02:00 3.240000\n",
|
||
"2017-07-20 05:50:00+02:00 3.340000\n",
|
||
"2017-07-20 05:55:00+02:00 3.380000\n",
|
||
"Name: SolRad, Length: 1848, dtype: float64"
|
||
]
|
||
},
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df['SolRad']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"metadata": {
|
||
"scrolled": true
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"True\n",
|
||
"True\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"print(df_sky_diffuse.equals(df_poa_components['poa_sky_diffuse']))\n",
|
||
"print(df_ground_diffuse.equals(df_poa_components['poa_ground_diffuse']))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_poa_components.plot()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Compile the WDB vector"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb = df.copy()\n",
|
||
"df_wdb['time'] = (df_wdb.index - df_wdb.index[0]).total_seconds()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Add the solar angles:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb['zenith'] = df_solarposition['apparent_zenith'] # apparent_zenith takes into account refraction due to atmosphere\n",
|
||
"df_wdb['azimuth'] = df_solarposition['azimuth']\n",
|
||
"df_wdb['aoi'] = df_aoi"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Add the estimated radiation values:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb['dni'] = df_erbs['dni']\n",
|
||
"df_wdb['dhi'] = df_erbs['dhi']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb['poa_direct'] = df_poa_components['poa_direct']\n",
|
||
"df_wdb['poa_diffuse'] = df_poa_components['poa_diffuse']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# Radiative temperature of the sky\n",
|
||
"df_wdb['Tsky_rad'] = df_wdb['OutsideTemp'] - 6 # from email with Manuel\n",
|
||
"\n",
|
||
"df_wdb['relative_humidity'] = 50 # relative humidity. placeholder\n",
|
||
"df_wdb['precipitation'] = -9999 # placeholder\n",
|
||
"df_wdb['cloud_index'] = 0.5 # from email with Manuel, for the moment assumed to not be used by the model\n",
|
||
"df_wdb['pressure'] = 96300 # placeholder, taken as mean of PUY station over the last year\n",
|
||
"\n",
|
||
"df_wdb['wind_speed'] = 0 # placeholder value\n",
|
||
"df_wdb['wind_direction'] = -9999 # placeholder value\n",
|
||
"\n",
|
||
"df_wdb['incidence_main'] = -9999 # also missing in sample dataset\n",
|
||
"df_wdb['incidence_second'] = -9999 # also missing in sample dataset"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Change the timestamp from being an index, to being a regular column:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb.reset_index(inplace = True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Transform it to the YYYYmmddHHMM format expected by Carnot WDB:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 33,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb['timestamp'] = df_wdb['timestamp'].dt.strftime(\"%Y%m%d%H%M\").astype('int')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb['time'] = df_wdb['time'].astype('int')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_wdb = df_wdb[['time', 'timestamp', 'zenith', 'azimuth', 'dni', 'dhi', 'OutsideTemp', 'Tsky_rad', 'relative_humidity', 'precipitation', 'cloud_index', 'pressure', 'wind_speed', 'wind_direction', 'aoi', 'incidence_main', 'incidence_second', 'poa_direct', 'poa_diffuse']]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Export file to matlab matrix:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"scipy.io.savemat(f\"../Data/{exp_id}_WDB.mat\", {'Exp_WDB': df_wdb.to_numpy()})"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 37,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 1080x360 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df[['InsideTemp', 'Setpoint', 'OutsideTemp']].plot(figsize = (15, 5))\n",
|
||
"plt.title(f\"{exp_id} interpreted data\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 38,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 1080x360 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"pd.concat([df[['InsideTemp', 'Setpoint']], (df['Power']/4500 + 22.25)], axis = 1).plot(figsize = (15, 5))\n",
|
||
"plt.show()"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "venv",
|
||
"language": "python",
|
||
"name": "venv"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.9.2"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 4
|
||
}
|