updates class

Author: shirubana

Tutorial 0 - Overview.ipynb

@@ -455,7 +455,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,

Tutorial 1 - TMY Weather Data.ipynb

@@ -7,7 +7,7 @@
     "![tutorialpromo](images/tutorial_banner.PNG)\n",
     "\n",
     "\n",
-    "# Tutorial 2 - POA Irradiance & Module Temperature\n",
+    "# Tutorial 2 - POA Irradiance \n",
     "\n",
     "This notebook shows how to use pvlib to transform the three irradiance components (GHI, DHI, and DNI) into POA irradiance, the main driver of a PV system. Then this POA and weather data will be used to calculate Module Temperature\n",
     "\n",
@@ -106,9 +106,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.11.2\n"
+     ]
+    }
+   ],
    "source": [
     "import pvlib\n",
     "import pandas as pd  # for data wrangling\n",
@@ -129,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -184,14 +192,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "We are looking at data from  \"GREENSBORO PIEDMONT TRIAD INT\" , NC\n"
+     "ename": "NameError",
+     "evalue": "name 'metadata' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[4], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWe are looking at data from \u001b[39m\u001b[38;5;124m\"\u001b[39m, metadata[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mName\u001b[39m\u001b[38;5;124m'\u001b[39m], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m\"\u001b[39m, metadata[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mState\u001b[39m\u001b[38;5;124m'\u001b[39m])\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'metadata' is not defined"
      ]
     }
    ],
@@ -259,9 +271,9 @@
     "df_poa = pvlib.irradiance.get_total_irradiance(\n",
     "    surface_tilt=20,  # tilted 20 degrees from horizontal\n",
     "    surface_azimuth=180,  # facing South\n",
-    "    dni=df_tmy['DNI'],\n",
-    "    ghi=df_tmy['GHI'],\n",
-    "    dhi=df_tmy['DHI'],\n",
+    "    dni=df_tmy['dni'],\n",
+    "    ghi=df_tmy['ghi'],\n",
+    "    dhi=df_tmy['dhi'],\n",
     "    solar_zenith=solar_position['apparent_zenith'],\n",
     "    solar_azimuth=solar_position['azimuth'],\n",
     "    model='isotropic')"
@@ -445,9 +457,9 @@
     "df_poa_tracker = pvlib.irradiance.get_total_irradiance(\n",
     "    surface_tilt=tilt,  # time series for tracking array\n",
     "    surface_azimuth=azimuth,  # time series for tracking array\n",
-    "    dni=df_tmy['DNI'],\n",
-    "    ghi=df_tmy['GHI'],\n",
-    "    dhi=df_tmy['DHI'],\n",
+    "    dni=df_tmy['dni'],\n",
+    "    ghi=df_tmy['ghi'],\n",
+    "    dhi=df_tmy['dhi'],\n",
     "    solar_zenith=solar_position['apparent_zenith'],\n",
     "    solar_azimuth=solar_position['azimuth'])\n",
     "tracker_poa = df_poa_tracker['poa_global']"
@@ -551,7 +563,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df_tmy['DryBulb'].head(24*7).plot()\n",
+    "df_tmy['temp_air'].head(24*7).plot()\n",
     "cell_temperature.head(24*7).plot()\n",
     "plt.grid()\n",
     "plt.legend(['Dry Bulb', 'Cell Temperature'])\n",
@@ -572,8 +584,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "temperature_difference = cell_temperature - df_tmy['DryBulb']\n",
-    "plt.scatter(tracker_poa, temperature_difference, c=df_tmy['Wspd'])\n",
+    "temperature_difference = cell_temperature - df_tmy['temp_air']\n",
+    "plt.scatter(tracker_poa, temperature_difference, c=df_tmy['wind_speed'])\n",
     "plt.colorbar()\n",
     "# note you can use LaTeX math in matplotlib labels\n",
     "# compare \\degree\" with the unicode symbol above\n",
@@ -617,7 +629,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,