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Commit 1e3ce703 authored by Fabian Neumann's avatar Fabian Neumann
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minor clarifications and updates in T5

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tutorial-3/notebooks/tutorial-3-task-2-solution.ipynb
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{
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"execution_count": 10,
......@@ -440,7 +440,7 @@
" Number of bounded subproblems: 0\n",
" Number of created subproblems: 0\n",
" Error rc: 0\n",
" Time: 3.998594045639038\n",
" Time: 3.898280382156372\n",
"# ----------------------------------------------------------\n",
"# Solution Information\n",
"# ----------------------------------------------------------\n",
......@@ -638,7 +638,7 @@
{
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"execution_count": 19,
......@@ -774,7 +774,7 @@
" Number of bounded subproblems: 0\n",
" Number of created subproblems: 0\n",
" Error rc: 0\n",
" Time: 8.340548753738403\n",
" Time: 7.731746435165405\n",
"# ----------------------------------------------------------\n",
"# Solution Information\n",
"# ----------------------------------------------------------\n",
......@@ -939,7 +939,7 @@
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"execution_count": 26,
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},
{
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"execution_count": 29,
"execution_count": 28,
"metadata": {
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......@@ -1079,7 +1079,7 @@
"2012-01-01 04:00:00 0.0 0.641201"
]
},
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......@@ -1151,7 +1151,7 @@
" dtype='datetime64[ns]', name='name', length=744, freq=None)"
]
},
"execution_count": 31,
"execution_count": 30,
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......@@ -1162,7 +1162,7 @@
},
{
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"execution_count": 32,
"execution_count": 31,
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{
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"execution_count": 32,
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{
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"execution_count": 33,
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{
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"execution_count": 35,
"execution_count": 34,
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......@@ -1279,7 +1279,7 @@
" Number of bounded subproblems: 0\n",
" Number of created subproblems: 0\n",
" Error rc: 0\n",
" Time: 8.114485740661621\n",
" Time: 8.02032470703125\n",
"# ----------------------------------------------------------\n",
"# Solution Information\n",
"# ----------------------------------------------------------\n",
......@@ -1294,7 +1294,7 @@
"('ok', 'optimal')"
]
},
"execution_count": 35,
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
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},
{
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"execution_count": 35,
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"525.895790860553"
]
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"execution_count": 36,
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"Name: p_nom_opt, dtype: float64"
]
},
"execution_count": 37,
"execution_count": 36,
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"output_type": "execute_result"
}
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{
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"execution_count": 37,
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"Name: p_nom_opt, dtype: float64"
]
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"execution_count": 38,
"execution_count": 37,
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......@@ -1421,7 +1421,7 @@
"Name: e_nom_opt, dtype: float64"
]
},
"execution_count": 39,
"execution_count": 38,
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}
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......@@ -1601,10 +1601,10 @@
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......
tutorial-5/notebooks/tutorial-5-task-2-solution.ipynb
View file @ 1e3ce703
......@@ -28,7 +28,7 @@
},
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......@@ -57,7 +57,7 @@
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......@@ -240,7 +240,7 @@
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{
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"metadata": {
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......@@ -289,7 +289,7 @@
" Number of bounded subproblems: 0\n",
" Number of created subproblems: 0\n",
" Error rc: 0\n",
" Time: 0.18898773193359375\n",
" Time: 0.1875760555267334\n",
"# ----------------------------------------------------------\n",
"# Solution Information\n",
"# ----------------------------------------------------------\n",
......@@ -304,7 +304,7 @@
"('ok', 'optimal')"
]
},
"execution_count": 8,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
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},
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"14706.193806194"
]
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"execution_count": 6,
"metadata": {},
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......@@ -361,7 +361,7 @@
},
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"Name: p_nom_opt, dtype: float64"
]
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"execution_count": 10,
"execution_count": 7,
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"dtype: float64"
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"execution_count": 20,
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"dtype: float64"
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"execution_count": 21,
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},
{
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"dtype: int64"
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"execution_count": 23,
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......
tutorial-5/notebooks/tutorial-5-task-3.ipynb
View file @ 1e3ce703
......@@ -63,8 +63,6 @@
"\n",
"* The marginal costs are illustrative, not accurate.\n",
"\n",
"* Only the first day of 2011 is in the github dataset, which is not representative. The full year of 2011 can be downloaded [here](http://www.pypsa.org/examples/scigrid-with-load-gen-trafos-2011.zip).\n",
"\n",
"* The ENTSO-E total load for Germany may not be scaled correctly; it is scaled up uniformly by factor 1.12 (a simplification of the methodology in Schumacher, Hirth (2015), which suggests monthly factors).\n",
"\n",
"* Biomass from the EEG Stammdaten are not read in at the moment.\n",
......@@ -109,7 +107,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Some general settings (You may have to adjust this path to where you downloaded the network data!):"
"Some general settings:"
]
},
{
......@@ -209,6 +207,7 @@
"source": [
"network.lines[\"s_nom_original\"] = network.lines.s_nom\n",
"\n",
"# extendable, but no reduction of line capacities\n",
"network.lines.s_nom_extendable = True\n",
"network.lines.s_nom_min = network.lines.s_nom\n",
"\n",
......@@ -236,7 +235,7 @@
"metadata": {},
"source": [
"***\n",
"## (a) Describe the nework as well as its regional and temporal characteristics."
"## (a) Describe the network as well as its regional and temporal characteristics."
]
},
{
......@@ -260,7 +259,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### (a)-(ii) | Plot the total generation capacities grouped by generation technology. Why is the share of capacity for renewables higher than the share of electricity produced?"
"### (a)-(ii) | Plot the total generation capacities grouped by generation technology. Why is the share of capacity for renewables higher than the share of electricity produced?\n",
"> **Hint:** Use the pandas functions `groupby`."
]
},
{
......@@ -269,8 +269,7 @@
"metadata": {},
"outputs": [],
"source": [
"fig,ax = plt.subplots(1,1)\n",
"fig.set_size_inches(16,6)\n",
"fig, ax = plt.subplots(figsize=(16,6))\n",
"\n",
"# TASK\n",
"???"
......@@ -290,10 +289,9 @@
"outputs": [],
"source": [
"fig, axes = plt.subplots(nrows=n_rows, ncols=n_cols,\n",
" figsize=(size*n_cols,size*n_rows),\n",
" subplot_kw={\"projection\":ccrs.PlateCarree()})\n",
"\n",
"fig.set_size_inches(size*n_cols,size*n_rows)\n",
"\n",
"for i,timestep in enumerate(timesteps):\n",
" i_row = i // n_cols\n",
" i_col = i % n_cols\n",
......@@ -340,16 +338,14 @@
" n_rows_g = n_graphs_g // n_cols_g\n",
"else:\n",
" n_rows_g = n_graphs_g // n_cols_g + 1\n",
"\n",
" \n",
"fig, axes = plt.subplots(nrows=n_rows_g, ncols=n_cols_g,\n",
" figsize=(width_factor*n_cols_g,height_factor*n_rows_g),\n",
" subplot_kw={\"projection\":ccrs.PlateCarree()})\n",
"\n",
"width_factor = 4\n",
"height_factor = 4\n",
"\n",
"fig.set_size_inches(width_factor*n_cols_g,height_factor*n_rows_g)\n",
"\n",
"for i,tech in enumerate(techs):\n",