add limitations and result sample
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**References**
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* :doc:`release_notes`
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* :doc:`limitations`
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* :doc:`contributing`
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.. toctree::
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@ -95,8 +96,20 @@ Documentation
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:caption: References
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release_notes
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limitations
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contributing
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Learning Energy System Modelling
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================================
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If you are (relatively) new to energy system modelling and optimisation
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and plan to use PyPSA-Eur, the following resources are *one way* to get started
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in addition to reading this documentation.
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- Documentation of `PyPSA <https://pypsa.readthedocs.io>`_, the package for
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simulating and optimising modern power systems which PyPSA-Eur uses under the hood.
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- Course on `Energy System Modelling <https://nworbmot.org/courses/esm-2019/>`_,
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Karlsruhe Institute of Technology (KIT), `Dr. Tom Brown <https://nworbmot.org>`_
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Citing PyPSA-Eur
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================
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doc/limitations.rst
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doc/limitations.rst
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##########################################
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Limitations
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##########################################
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While the benefit of an openly available, functional and partially validated
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model of the European transmission system is high, many approximations have
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been made due to missing data.
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The limitations of the dataset are listed below,
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both as a warning to the user and as an encouragement to assist in
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improving the approximations.
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- **Network topology:**
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The grid data is based on a map of the ENTSO-E area that is known
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to contain small distortions to improve readability. Since the exact impedances
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of the lines are unknown, approximations based on line lengths and standard
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line parameters were made that ignore specific conductoring choices for
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particular lines. There is no openly available data on busbar configurations, switch
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locations, transformers or reactive power compensation assets.
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- **Distribution networks:**
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Using Voronoi cells to aggregate load and generator data to transmission
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network substations ignores the topology of the underlying distribution network,
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meaning that assets may be connected to the wrong substation.
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- **Power Demand:**
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Assumptions
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have been made about the distribution of load in each country proportional to
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population and GDP that may not reflect local circumstances.
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Openly available
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data on load time series may not correspond to the true vertical load and is
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not spatially disaggregated; assuming, as we have done, that the load time series
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shape is the same at each node within each country ignores local differences.
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- **Currently installed renewable capacities:**
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Information on existing wind, solar and small hydro, geothermal, marine and
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biomass power plants are excluded from the dataset because of a lack of data
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availability in many countries. Approximate distributions of wind and solar
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plants in each country can be generated that are proportional to the capacity
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factor at each location.
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- **Hydro-electric power plants:**
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The database of hydro-electric power plants does not include plant-specific
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energy storage information, so that blanket values based on country storage
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totals have been used. Inflow time series are based on country-wide approxima-
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tions, ignoring local topography and basin drainage; in principle a full hydro-
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logical model should be used.
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- **International interactions:**
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Border connections and power flows to Russia,
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Belarus, Ukraine, Turkey and Morocco have not been taken into account; is-
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lands which are not connected to the main European system, such as Malta,
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Crete and Cyprus, are also excluded from the model.
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