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add documentation to the updated modelling of building retrofitting

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lisazeyen 2021-04-19 17:19:34 +02:00
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doc/data.csv
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@ -22,5 +22,5 @@ U-values Poland,u_values_poland.csv,unknown,https://data.europa.eu/euodp/de/data
Floor area missing in hotmaps building stock data,floor_area_missing.csv,unknown,https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory
Comparative level investment,comparative_level_investment.csv,Eurostat,https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment
Electricity taxes,electricity_taxes_eu.csv,Eurostat,https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nrg_pc_204&lang=en
Average surface components,average_surface_components.csv,unknown,http://webtool.building-typology.eu/#bm
Building topologies and corresponding standard values,tabula-calculator-calcsetbuilding.csv,unknown,https://episcope.eu/fileadmin/tabula/public/calc/tabula-calculator.xlsx
Retrofitting thermal envelope costs for Germany,retro_cost_germany.csv,unkown,https://www.iwu.de/forschung/handlungslogiken/kosten-energierelevanter-bau-und-anlagenteile-bei-modernisierung/

1 description file/folder licence source
22 Floor area missing in hotmaps building stock data floor_area_missing.csv unknown https://data.europa.eu/euodp/de/data/dataset/building-stock-observatory
23 Comparative level investment comparative_level_investment.csv Eurostat https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Comparative_price_levels_for_investment
24 Electricity taxes electricity_taxes_eu.csv Eurostat https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nrg_pc_204&lang=en
25 Average surface components Building topologies and corresponding standard values average_surface_components.csv tabula-calculator-calcsetbuilding.csv unknown http://webtool.building-typology.eu/#bm https://episcope.eu/fileadmin/tabula/public/calc/tabula-calculator.xlsx
26 Retrofitting thermal envelope costs for Germany retro_cost_germany.csv unkown https://www.iwu.de/forschung/handlungslogiken/kosten-energierelevanter-bau-und-anlagenteile-bei-modernisierung/

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doc/release_notes.rst
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@ -10,6 +10,7 @@ Future release
* Rename the bus for European liquid hydrocarbons from ``Fischer-Tropsch`` to ``EU oil``, since it can be supplied not just with the Fischer-Tropsch process, but also with fossil oil.
* Bugfix: Fix reading in of ``pypsa-eur/resources/powerplants.csv`` to PyPSA-Eur Version 0.3.0 (use column attribute name ``DateIn`` instead of old ``YearDecommissioned``).
* Bugfix: Make sure that ``Store`` components (battery and H2) are also removed from PyPSA-Eur, so they can be added later by PyPSA-Eur-Sec.
* update of the cost database for retrofitting of the thermal envelope of buildings. Now, for calculating the space heat savings of a building, losses by thermal bridges and ventilation are included as well as heat gains (internal and by solar radiation).
PyPSA-Eur-Sec 0.4.0 (11th December 2020)

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doc/supply_demand.rst
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@ -108,6 +108,41 @@ Small for decentral applications.
Big water pit storage for district heating.
Retrofitting of the thermal envelope of buildings
===================================================
Co-optimising building renovation is only enabled if in the ``config.yaml`` the
option :mod:`retro_endogen: True`. To reduce the computational burden
default setting is
.. literalinclude:: ../config.default.yaml
:language: yaml
:lines: 134-135
Renovation of the thermal envelope reduces the space heating demand and is
optimised at each node for every heat bus. Renovation measures through additional
insulation material and replacement of energy inefficient windows are considered.
In a first step, costs per energy savings are estimated in :mod:`build_retro_cost.py`.
They depend on the insulation condition of the building stock and costs for
renovation of the building elements.
In a second step, for those cost per energy savings two possible renovation
strengths are determined: a moderate renovation with lower costs and lower
maximum possible space heat savings, and an ambitious renovation with associated
higher costs and higher efficiency gains. They are added by step-wise
linearisation in form of two additional generations in
:mod:`prepare_sector_network.py`.
Settings in the config.yaml concerning the endogenously optimisation of building
renovation
.. literalinclude:: ../config.default.yaml
:language: yaml
:lines: 136-140
Further information are given in the publication
`Mitigating heat demand peaks in buildings in a highly renewable European energy system, (2021) <https://arxiv.org/abs/2012.01831>`_.
Hydrogen demand
==================