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Merge pull request #1167 from openego/revert-1166-features/#450-add-m…
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Revert "Features/#450 add metadata"
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khelfen authored Aug 22, 2024
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10 changes: 0 additions & 10 deletions CHANGELOG.rst
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`#882 <https://github.com/openego/eGon-data/issues/882>`_
* Insert crossboarding gas pipeline with Germany in eGon100RE
`#881 <https://github.com/openego/eGon-data/issues/881>`_
* Harmonize H2 carrier names in eGon100RE
`#929 <https://github.com/openego/eGon-data/issues/929>`_
* Rename noflex to lowflex scenario for motorized individual travel
`#921 <https://github.com/openego/eGon-data/issues/921>`_
* Update creation of heat demand timeseries
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`#519 <https://github.com/openego/eGon-data/issues/519>`_
* Add missing VOM costs for heat sector components
`#942 <https://github.com/openego/eGon-data/issues/942>`_
* Add sanity checks for gas sector in eGon2035
`#864 <https://github.com/openego/eGon-data/issues/864>`_
* Desaggregate industry demands to OSM areas and industrial sites
`#1001 <https://github.com/openego/eGon-data/issues/1001>`_
* Add gas generator in Norway
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created for a single process. This fixes issue `#799`_.
* Insert rural heat per supply technology
`#1026 <https://github.com/openego/eGon-data/issues/1026>`_
* Insert lifetime for components from p-e-s in eGon100RE
`#1073 <https://github.com/openego/eGon-data/issues/1073>`_
* Change hgv data source to use database
`#1086 <https://github.com/openego/eGon-data/issues/1086>`_
* Rename eMob MIT carrier names (use underscores)
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* Fix URL of TYNDP scenario dataset
* Automatically generated tasks now get unique :code:`task_id`\s.
Fixes issue `#985`_ via PR `#986`_.
* Adjust capcities of German CH4 stores
`#1096 <https://github.com/openego/eGon-data/issues/1096>`_
* Fix faulty DSM time series
`#1088 <https://github.com/openego/eGon-data/issues/1088>`_
* Set upper limit on commissioning date for units from MaStR
dataset
`#1098 <https://github.com/openego/eGon-data/issues/1098>`_
* Fix conversion factor for CH4 loads abroad in eGon2035
`#1104 <https://github.com/openego/eGon-data/issues/1104>`_
* Change structure of documentation in rtd
`#11126 <https://github.com/openego/eGon-data/issues/1126>`_

.. _PR #692: https://github.com/openego/eGon-data/pull/692
.. _#343: https://github.com/openego/eGon-data/issues/343
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111 changes: 0 additions & 111 deletions docs/about.rst

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5 changes: 0 additions & 5 deletions docs/conf.py
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add_module_names = False
modindex_common_prefix = ["egon.data.", "egon.data.datasets."]

autodoc_type_aliases = {
"Dependencies": "egon.data.datasets.Dependencies",
"Tasks": "egon.data.datasets.Tasks"
}
127 changes: 12 additions & 115 deletions docs/data.rst
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****
Data
****
The description of the methods, input data and results of the eGon-data pipeline is given in the following section.
References to datasets and functions are integrated if more detailed information is required.

Main input data and their processing
====================================

All methods in the eGon-data workflow rely on public and freely available data from different external sources. The most important data sources
and their processing within the eGon-data pipeline are described here.

.. include:: data/input_data.rst

Grid models
===========

Power grid models of different voltage levels form a central part of the eGon data model, which is required for cross-grid-level optimization.
In addition, sector coupling necessitates the representation of the gas grid infrastructure, which is also described in this section.

Electricity grid
----------------

.. include:: data/electricity_grids.rst

Gas grid
--------

.. include:: data/gas_grids.rst

Demand
======

Electricity, heat and gas demands from different consumption sectors are taken into account in eGon-data. The related methods to distribute and
process the demand data are described in the following chapters for the different consumption sectors separately.

.. _electricity-demand-ref:

Electricity
-----------

.. include:: data/electricity_demand.rst

Heat
----

.. include:: data/heat_demand.rst

Gas
---

.. include:: data/gas_demand.rst

.. _mobility-demand-ref:

Mobility
--------

.. include:: data/mobility_demand.rst


Supply
======

The distribution and assignment of supply capacities or potentials are carried out technology-specific. The different methods are described in the
following chapters.

Electricity
-----------

.. include:: data/electricity_supply.rst

Heat
----

.. include:: data/heat_supply.rst

Gas
---
.. include:: data/gas_supply.rst


Flexibility options
===================

Different flexibility options are part of the model and can be utilized in the optimization of the energy system. Therefore detailed information about
flexibility potentials and their distribution are needed. The considered technologies described in the following chapters range from different storage units,
through dynamic line rating to Demand-Side-Management measures.

Demand-Side-Management
----------------------

.. include:: data/DSM.rst

Dynamic line rating
-------------------

.. include:: data/DLR.rst

E-Mobility
----------

.. include:: data/e-mobility.rst

Battery stores
----------------

.. include:: data/batteries.rst

Gas stores
-----------------

.. include:: data/gas_stores.rst

Heat stores
-------------

.. include:: data/heat_stores.rst

Scenarios
=========

Published data
==============

Data bundle
-----------

The data bundle is published on
`zenodo <https://sandbox.zenodo.org/record/1167119>`_. It contains several data
sets, which serve as a basis for egon-data. One such data set is the geocoding
for the `MaStR data set <https://sandbox.zenodo.org/record/1132987>`_ which is
used for eGon-data as well. Whenever the MaStR data set is updated it is
necessary to redo the geocoding with the new data set and update the data
bundle accordingly. The geocoding can be done based on the
`mastr-geocoding repository <https://github.com/RLI-sandbox/mastr-geocoding>`_.
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