Update landing page comments, features and comparable software

For features that are unlikely to be developed in PyPSA directly, we have linked to comparable software with this functionality. Scare warning about heavy development has been removed.
matzech · Dec 3, 2018 · 867c69e · 867c69e
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diff --git a/README.rst b/README.rst
@@ -24,14 +24,6 @@ and solar generation, storage units, coupling to other energy sectors,
 and mixed alternating and direct current networks. PyPSA is designed
 to scale well with large networks and long time series.
 
-As of 2018 PyPSA is under heavy development and therefore it is
-recommended to use caution when using it in a production environment.
-Some APIs may change - the changes in each PyPSA version are listed in
-the `doc/release_notes.rst <doc/release_notes.rst>`_.
-
-
-
-
 This project is maintained by the `Energy System Modelling
 group <https://www.iai.kit.edu/english/2338.php>`_ at the `Institute for
 Automation and Applied
@@ -93,31 +85,29 @@ It has models for:
 * basic components out of which more complicated assets can be built,
  such as Combined Heat and Power (CHP) units, heat pumps, resistive
  Power-to-Heat (P2H), Power-to-Gas (P2G), battery electric vehicles
- (BEVs), etc.; each of these is demonstrated in the `examples
+ (BEVs), Fischer-Tropsch, direct air capture (DAC), etc.; each of
+ these is demonstrated in the `examples
  <https://www.pypsa.org/examples/>`_
 
 
-Functionality that will definitely be added soon:
+Functionality that may be added in the future:
 
 * Multi-year investment optimisation
-* Simple RMS simulations with the swing equation
 * Distributed active power slack
-* Non-linear power flow solution using `analytic continuation
- <https://en.wikipedia.org/wiki/Holomorphic_embedding_load_flow_method>`_
- in the complex plane following `GridCal
- <https://github.com/SanPen/GridCal>`_
-
-Functionality that may be added in the future:
-
-* Short-circuit current calculations
-* Dynamic RMS simulations
-* Small signal stability analysis
 * Interactive web-based GUI with SVG
 * OPF with the full non-linear network equations
-* Dynamic EMT simulations
-* Unbalanced load flow
 * Port to `Julia <https://julialang.org/>`_
 
+Other complementary libraries:
+
+* `pandapower <https://github.com/e2nIEE/pandapower>`_ for more
+ detailed modelling of distribution grids, short-circuit
+ calculations, unbalanced load flow and more
+* `PowerDynamics.jl
+ <https://github.com/JuliaEnergy/PowerDynamics.jl>`_ for dynamic
+ modelling of power grids at time scales where differential equations are relevant
+
+
 
 Example scripts as Jupyter notebooks
 ====================================
@@ -165,7 +155,7 @@ What PyPSA uses under the hood
 ===============================
 
 PyPSA is written and tested to be compatible with both Python 2.7 and
-Python 3.5.
+Python 3.6.
 
 It leans heavily on the following Python packages:
 

diff --git a/doc/introduction.rst b/doc/introduction.rst
@@ -12,12 +12,6 @@ and solar generation, storage units, coupling to other energy sectors,
 and mixed alternating and direct current networks. PyPSA is designed
 to scale well with large networks and long time series.
 
-
-As of 2018 PyPSA is under heavy development and therefore it is
-recommended to use caution when using it in a production
-environment. Some APIs may change - the changes in each PyPSA version
-are listed in the :doc:`release_notes`.
-
 This project is maintained by the `Energy System Modelling
 group <https://www.iai.kit.edu/english/2338.php>`_ at the `Institute for
 Automation and Applied
@@ -62,31 +56,28 @@ It has models for:
 * basic components out of which more complicated assets can be built,
  such as Combined Heat and Power (CHP) units, heat pumps, resistive
  Power-to-Heat (P2H), Power-to-Gas (P2G), battery electric vehicles
- (BEVs), etc.; each of these is demonstrated in the `examples
+ (BEVs), Fischer-Tropsch, direct air capture (DAC), etc.; each of
+ these is demonstrated in the `examples
  <https://www.pypsa.org/examples/>`_
 
 
-Functionality that will definitely be added soon:
+Functionality that may be added in the future:
 
 * Multi-year investment optimisation
-* Simple RMS simulations with the swing equation
 * Distributed active power slack
-* Non-linear power flow solution using `analytic continuation
- <https://en.wikipedia.org/wiki/Holomorphic_embedding_load_flow_method>`_
- in the complex plane following `GridCal
- <https://github.com/SanPen/GridCal>`_
-
-Functionality that may be added in the future:
-
-* Short-circuit current calculations
-* Dynamic RMS simulations
-* Small signal stability analysis
 * Interactive web-based GUI with SVG
 * OPF with the full non-linear network equations
-* Dynamic EMT simulations
-* Unbalanced load flow
 * Port to `Julia <https://julialang.org/>`_
 
+Other complementary libraries:
+
+* `pandapower <https://github.com/e2nIEE/pandapower>`_ for more
+ detailed modelling of distribution grids, short-circuit
+ calculations, unbalanced load flow and more
+* `PowerDynamics.jl
+ <https://github.com/JuliaEnergy/PowerDynamics.jl>`_ for dynamic
+ modelling of power grids at time scales where differential equations are relevant
+
 
 
 Example scripts as Jupyter notebooks
@@ -171,8 +162,8 @@ and DC. PyPSA uses some of the sparse-matrix constructs from PYPOWER.
 What PyPSA uses under the hood
 ===============================
 
-PyPSA is written and tested to be compatible with Python 2.7 and
-Python 3.5.
+PyPSA is written and tested to be compatible with both Python 2.7 and
+Python 3.6.
 
 It leans heavily on the following Python packages:
 

diff --git a/website/index.org b/website/index.org
@@ -12,12 +12,6 @@ units, coupling to other energy sectors, and mixed alternating and direct curren
 networks. PyPSA is designed to scale well with large networks and long
 time series.
 
-As of 2018 PyPSA is under heavy development and therefore it is
-recommended to use caution when using it in a production environment.
-Some APIs may change - the changes in each PyPSA version are listed in
-the [[./doc/release_notes.html][release notes]].
-
-
 
 This project is maintained by the [[https://www.iai.kit.edu/english/2338.php][Energy System Modelling group]] at the
 [[https://www.iai.kit.edu/english/index.php][Institute for Automation and Applied Informatics]] at the [[https://www.kit.edu/english/index.php][Karlsruhe
@@ -76,29 +70,25 @@ It has models for:
 - basic components out of which more complicated assets can be built,
  such as Combined Heat and Power (CHP) units, heat pumps, resistive
  Power-to-Heat (P2H), Power-to-Gas (P2G), battery electric vehicles
- (BEVs), etc.; each of these is demonstrated in the
- [[./examples/index.html][examples]]
-
-Functionality that will definitely be added soon:
+ (BEVs), Fischer-Tropsch, direct air capture (DAC), etc.; each of
+ these is demonstrated in the [[./examples/index.html][examples]]
 
-- Multi-year investment optimisation
-- Simple RMS simulations with the swing equation
-- Distributed active power slack
-- Non-linear power flow solution using
- [[https://en.wikipedia.org/wiki/Holomorphic_embedding_load_flow_method][analytic
- continuation]] in the complex plane following
- [[https://github.com/SanPen/GridCal][GridCal]]
 
 Functionality that may be added in the future:
 
-- Short-circuit current calculations
-- Dynamic RMS simulations
-- Small signal stability analysis
-- Interactive web-based GUI with SVG
-- OPF with the full non-linear network equations
-- Dynamic EMT simulations
-- Unbalanced load flow
-- Port to [[https://julialang.org/][Julia]]
+- Multi-year investment optimisation
+- Distributed active power slack
+- Interactive web-based GUI with SVG
+- OPF with the full non-linear network equations
+- Port to [[https://julialang.org/][Julia]]
+
+Other complementary libraries:
+
+- [[https://github.com/e2nIEE/pandapower][pandapower]] for more detailed modelling of distribution grids,
+ short-circuit calculations, unbalanced load flow and more
+- [[https://github.com/JuliaEnergy/PowerDynamics.jl][PowerDynamics.jl]] for dynamic modelling of power grids at time scales
+ where differential equations are relevant
+
 
 
 * Example scripts as Jupyter notebooks
@@ -153,7 +143,7 @@ interactive plots generated with the [[https://plot.ly/python/][plotly]] library
 * What PyPSA uses under the hood
 
 PyPSA is written and tested to be compatible with both Python 2.7 and
-Python 3.5.
+Python 3.6.
 
 It leans heavily on the following Python packages: