adapt configuration options
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doc/configtables/clustering.csv
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3
doc/configtables/clustering.csv
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,Unit,Values,Description
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simplify,,,
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-- to_substations,bool,"{'true','false'}","Aggregates all nodes without power injection (positive or negative, i.e. demand or generation) to electrically closest ones"
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@ -256,7 +256,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
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.. literalinclude:: ../config.default.yaml
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:language: yaml
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:lines: 192-202
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:lines: 208-217
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.. csv-table::
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:header-rows: 1
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@ -268,7 +268,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
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.. literalinclude:: ../config.default.yaml
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:language: yaml
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:lines: 192,203-219
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:lines: 218-227
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.. csv-table::
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:header-rows: 1
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@ -282,7 +282,7 @@ Define and specify the ``atlite.Cutout`` used for calculating renewable potentia
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.. literalinclude:: ../config.default.yaml
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:language: yaml
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:lines: 221-299
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:lines: 236-314
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.. csv-table::
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:header-rows: 1
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@ -53,41 +53,41 @@ Likewise, the example's temporal scope can be restricted (e.g. to a single month
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.. literalinclude:: ../config.tutorial.yaml
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:language: yaml
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:lines: 22-25
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:lines: 24-27
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It is also possible to allow less or more carbon-dioxide emissions. Here, we limit the emissions of Germany 100 Megatonnes per year.
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.. literalinclude:: ../config.tutorial.yaml
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:language: yaml
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:lines: 36,38
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:lines: 38,40
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PyPSA-Eur also includes a database of existing conventional powerplants.
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We can select which types of powerplants we like to be included with fixed capacities:
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.. literalinclude:: ../config.tutorial.yaml
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:language: yaml
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:lines: 36,52
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:lines: 38,54
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To accurately model the temporal and spatial availability of renewables such as wind and solar energy, we rely on historical weather data.
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It is advisable to adapt the required range of coordinates to the selection of countries.
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.. literalinclude:: ../config.tutorial.yaml
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:language: yaml
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:lines: 54-62
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:lines: 56-63
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We can also decide which weather data source should be used to calculate potentials and capacity factor time-series for each carrier.
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For example, we may want to use the ERA-5 dataset for solar and not the default SARAH-2 dataset.
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.. literalinclude:: ../config.tutorial.yaml
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:language: yaml
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:lines: 64,107-108
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:lines: 65,108-109
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Finally, it is possible to pick a solver. For instance, this tutorial uses the open-source solvers CBC and Ipopt and does not rely
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on the commercial solvers Gurobi or CPLEX (for which free academic licenses are available).
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.. literalinclude:: ../config.tutorial.yaml
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:language: yaml
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:lines: 170,180-181
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:lines: 171,181-182
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.. note::
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