PyPSA-Eur-Sec Version 0.2.0

Please see the release notes:

https://pypsa-eur-sec.readthedocs.io/en/latest/release_notes.html#pypsa-eur-sec-0-2-0-21st-august-2020

for more information.

config.default.yaml

@@ -1,3 +1,5 @@
+version: 0.2.0
+
 logging_level: INFO
 
 results_dir: 'results/'

config.myopic.yaml

@@ -1,3 +1,5 @@
+version: 0.2.0
+
 logging_level: INFO
 
 results_dir: 'results/'

doc/conf.py

@@ -70,9 +70,9 @@ author = u'2019-2020 Tom Brown (KIT), Marta Victoria (Aarhus University), Lisa Z
 # built documents.
 #
 # The short X.Y version.
-version = u'0.1'
+version = u'0.2'
 # The full version, including alpha/beta/rc tags.
-release = u'0.1.0'
+release = u'0.2.0'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

doc/myopic.rst

@@ -12,7 +12,7 @@ The current code applies the myopic approach to generators, storage technologies
 
 The transport sector and industry are not affected by the myopic code. In essence, the electrification of road and rail transport, the percentage of electric vehicles that allow demand-side management and vehicle-to-grid services, and the transformation in the different industrial subsectors do not evolve with time. They are kept fixed at the values specified in the configuration file. Including the transport sector and industry in the myopic code is planned for the near future.
 
-
+See also other `outstanding issues <https://github.com/PyPSA/pypsa-eur-sec/issues/19#issuecomment-678194802>`_.
 
 Configuration
 =================

doc/release_notes.rst

@@ -11,7 +11,7 @@ It is known to work with PyPSA-Eur v0.1.0 (commit bb3477cd69), PyPSA v0.17.1 and
 
 New features:
 
-* Option for pathway optimization with myopic foresight, based on the paper `Early decarbonisation of the European Energy system pays off (2020) <https://arxiv.org/abs/2004.11009>`_. Investments are optimized sequentially for multiple years (e.g. 2020, 2030, 2040, 2050) taking account of existing assets built in previous years and their lifetimes. The script uses data on the existing assets for electricity and building heating technologies, but there are no assumptions yet for existing transport and industry (if you include these, the model will greenfield them). To use myopic foresight, set ``foresight : 'myopic'`` in the ``config.yaml`` instead of the default ``foresight : 'overnight'``. An example configuration can be found in ``config.myopic.yaml``. More details on the implementation can be found in :doc:`myopic`.
+* Option for pathway optimization with myopic foresight, based on the paper `Early decarbonisation of the European Energy system pays off (2020) <https://arxiv.org/abs/2004.11009>`_. Investments are optimized sequentially for multiple years (e.g. 2020, 2030, 2040, 2050) taking account of existing assets built in previous years and their lifetimes. The script uses data on the existing assets for electricity and building heating technologies, but there are no assumptions yet for existing transport and industry (if you include these, the model will greenfield them). There are also some `outstanding issues <https://github.com/PyPSA/pypsa-eur-sec/issues/19#issuecomment-678194802>`_ on e.g. the distribution of existing wind, solar and heating technologies within each country. To use myopic foresight, set ``foresight : 'myopic'`` in the ``config.yaml`` instead of the default ``foresight : 'overnight'``. An example configuration can be found in ``config.myopic.yaml``. More details on the implementation can be found in :doc:`myopic`.
 
 * Technology assumptions (costs, efficiencies, etc.) are no longer stored in the repository. Instead, you have to install the `technology-data <https://github.com/PyPSA/technology-data>`_ database in a parallel directory. These assumptions are largely based on the `Danish Energy Agency Technology Data <https://ens.dk/en/our-services/projections-and-models/technology-data>`_. More details on the installation can be found in :doc:`installation`.