add limitations and result sample

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Fabian Neumann 2019-08-14 10:34:59 +02:00
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**References**
* :doc:`release_notes`
* :doc:`limitations`
* :doc:`contributing`
.. toctree::
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:caption: References
release_notes
limitations
contributing
Learning Energy System Modelling
================================
If you are (relatively) new to energy system modelling and optimisation
and plan to use PyPSA-Eur, the following resources are *one way* to get started
in addition to reading this documentation.
- Documentation of `PyPSA <https://pypsa.readthedocs.io>`_, the package for
simulating and optimising modern power systems which PyPSA-Eur uses under the hood.
- Course on `Energy System Modelling <https://nworbmot.org/courses/esm-2019/>`_,
Karlsruhe Institute of Technology (KIT), `Dr. Tom Brown <https://nworbmot.org>`_
Citing PyPSA-Eur
================

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##########################################
Limitations
##########################################
While the benefit of an openly available, functional and partially validated
model of the European transmission system is high, many approximations have
been made due to missing data.
The limitations of the dataset are listed below,
both as a warning to the user and as an encouragement to assist in
improving the approximations.
- **Network topology:**
The grid data is based on a map of the ENTSO-E area that is known
to contain small distortions to improve readability. Since the exact impedances
of the lines are unknown, approximations based on line lengths and standard
line parameters were made that ignore specific conductoring choices for
particular lines. There is no openly available data on busbar configurations, switch
locations, transformers or reactive power compensation assets.
- **Distribution networks:**
Using Voronoi cells to aggregate load and generator data to transmission
network substations ignores the topology of the underlying distribution network,
meaning that assets may be connected to the wrong substation.
- **Power Demand:**
Assumptions
have been made about the distribution of load in each country proportional to
population and GDP that may not reflect local circumstances.
Openly available
data on load time series may not correspond to the true vertical load and is
not spatially disaggregated; assuming, as we have done, that the load time series
shape is the same at each node within each country ignores local differences.
- **Currently installed renewable capacities:**
Information on existing wind, solar and small hydro, geothermal, marine and
biomass power plants are excluded from the dataset because of a lack of data
availability in many countries. Approximate distributions of wind and solar
plants in each country can be generated that are proportional to the capacity
factor at each location.
- **Hydro-electric power plants:**
The database of hydro-electric power plants does not include plant-specific
energy storage information, so that blanket values based on country storage
totals have been used. Inflow time series are based on country-wide approxima-
tions, ignoring local topography and basin drainage; in principle a full hydro-
logical model should be used.
- **International interactions:**
Border connections and power flows to Russia,
Belarus, Ukraine, Turkey and Morocco have not been taken into account; is-
lands which are not connected to the main European system, such as Malta,
Crete and Cyprus, are also excluded from the model.