Merge branch 'master' into validation

CITATION.cff

@@ -6,7 +6,7 @@ cff-version: 1.1.0
 message: "If you use this package, please cite it in the following way."
 title: "PyPSA-Eur: An open sector-coupled optimisation model of the European energy system"
 repository: https://github.com/pypsa/pypsa-eur
-version: 0.8.0
+version: 0.8.1
 license: MIT
 authors:
   - family-names: Brown

README.md

@@ -9,7 +9,7 @@ SPDX-License-Identifier: CC-BY-4.0
 ![Size](https://img.shields.io/github/repo-size/pypsa/pypsa-eur)
 [![Zenodo PyPSA-Eur](https://zenodo.org/badge/DOI/10.5281/zenodo.3520874.svg)](https://doi.org/10.5281/zenodo.3520874)
 [![Zenodo PyPSA-Eur-Sec](https://zenodo.org/badge/DOI/10.5281/zenodo.3938042.svg)](https://doi.org/10.5281/zenodo.3938042)
-[![Snakemake](https://img.shields.io/badge/snakemake-≥5.0.0-brightgreen.svg?style=flat)](https://snakemake.readthedocs.io)
+[![Snakemake](https://img.shields.io/badge/snakemake-≥7.7.0-brightgreen.svg?style=flat)](https://snakemake.readthedocs.io)
 [![REUSE status](https://api.reuse.software/badge/github.com/pypsa/pypsa-eur)](https://api.reuse.software/info/github.com/pypsa/pypsa-eur)
 [![Stack Exchange questions](https://img.shields.io/stackexchange/stackoverflow/t/pypsa)](https://stackoverflow.com/questions/tagged/pypsa)
 
@@ -35,17 +35,18 @@ The model is designed to be imported into the open toolbox
 [PyPSA](https://github.com/PyPSA/PyPSA).
 
 **WARNING**: PyPSA-Eur is under active development and has several
-[limitations](https://pypsa-eur.readthedocs.io/en/latest/limitations.html)
-which you should understand before using the model. The github repository
+[limitations](https://pypsa-eur.readthedocs.io/en/latest/limitations.html) which
+you should understand before using the model. The github repository
 [issues](https://github.com/PyPSA/pypsa-eur/issues) collect known topics we are
 working on (please feel free to help or make suggestions). The
 [documentation](https://pypsa-eur.readthedocs.io/) remains somewhat patchy. You
-can find showcases of the model's capabilities in the preprint [Benefits of a
-Hydrogen Network in Europe](https://arxiv.org/abs/2207.05816), a [paper in Joule
-with a description of the industry sector](https://arxiv.org/abs/2109.09563), or
-in [a 2021 presentation at EMP-E](https://nworbmot.org/energy/brown-empe.pdf).
-We cannot support this model if you choose to use it. We do not recommend to use
-the full resolution network model for simulations. At high granularity the
+can find showcases of the model's capabilities in the Joule paper [The potential
+role of a hydrogen network in
+Europe](https://doi.org/10.1016/j.joule.2023.06.016), another [paper in Joule
+with a description of the industry
+sector](https://doi.org/10.1016/j.joule.2022.04.016), or in [a 2021 presentation
+at EMP-E](https://nworbmot.org/energy/brown-empe.pdf). We do not recommend to
+use the full resolution network model for simulations. At high granularity the
 assignment of loads and generators to the nearest network node may not be a
 correct assumption, depending on the topology of the underlying distribution
 grid, and local grid bottlenecks may cause unrealistic load-shedding or

config/config.default.yaml

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: CC0-1.0
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#top-level-configuration
-version: 0.8.0
+version: 0.8.1
 tutorial: false
 
 logging:
@@ -238,6 +238,12 @@ lines:
   max_extension: .inf
   length_factor: 1.25
   under_construction: 'zero' # 'zero': set capacity to zero, 'remove': remove, 'keep': with full capacity
+  dynamic_line_rating:
+    activate: false
+    cutout: europe-2013-era5
+    correction_factor: 0.95
+    max_voltage_difference: false
+    max_line_rating: false
 
 # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#links
 links:

config/test/config.electricity.yaml

@@ -60,6 +60,12 @@ renewable:
 clustering:
   exclude_carriers: ["OCGT", "offwind-ac", "coal"]
 
+lines:
+  dynamic_line_rating:
+    activate: true
+    cutout: be-03-2013-era5
+    max_line_rating: 1.3
+
 
 solving:
   solver:

data/costs.csv

@@ -1,195 +0,0 @@
-technology,year,parameter,value,unit,source
-solar-rooftop,2030,discount rate,0.04,per unit,standard for decentral
-onwind,2030,lifetime,30,years,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind,2030,lifetime,30,years,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-solar,2030,lifetime,25,years,IEA2010
-solar-rooftop,2030,lifetime,25,years,IEA2010
-solar-utility,2030,lifetime,25,years,IEA2010
-PHS,2030,lifetime,80,years,IEA2010
-hydro,2030,lifetime,80,years,IEA2010
-ror,2030,lifetime,80,years,IEA2010
-OCGT,2030,lifetime,30,years,IEA2010
-nuclear,2030,lifetime,45,years,ECF2010 in DIW DataDoc http://hdl.handle.net/10419/80348
-CCGT,2030,lifetime,30,years,IEA2010
-coal,2030,lifetime,40,years,IEA2010
-lignite,2030,lifetime,40,years,IEA2010
-geothermal,2030,lifetime,40,years,IEA2010
-biomass,2030,lifetime,30,years,ECF2010 in DIW DataDoc http://hdl.handle.net/10419/80348
-oil,2030,lifetime,30,years,ECF2010 in DIW DataDoc http://hdl.handle.net/10419/80348
-onwind,2030,investment,1040,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind,2030,investment,1640,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind-ac-station,2030,investment,250,EUR/kWel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind-ac-connection-submarine,2030,investment,2685,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind-ac-connection-underground,2030,investment,1342,EUR/MW/km,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind-dc-station,2030,investment,400,EUR/kWel,Haertel 2017; assuming one onshore and one offshore node + 13% learning reduction
-offwind-dc-connection-submarine,2030,investment,2000,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
-offwind-dc-connection-underground,2030,investment,1000,EUR/MW/km,Haertel 2017; average + 13% learning reduction
-solar,2030,investment,600,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-biomass,2030,investment,2209,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-geothermal,2030,investment,3392,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-coal,2030,investment,1300,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
-lignite,2030,investment,1500,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-solar-rooftop,2030,investment,725,EUR/kWel,ETIP PV
-solar-utility,2030,investment,425,EUR/kWel,ETIP PV
-PHS,2030,investment,2000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-hydro,2030,investment,2000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-ror,2030,investment,3000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-OCGT,2030,investment,400,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-nuclear,2030,investment,6000,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-CCGT,2030,investment,800,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-oil,2030,investment,400,EUR/kWel,DIW DataDoc http://hdl.handle.net/10419/80348
-onwind,2030,FOM,2.450549,%/year,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind,2030,FOM,2.304878,%/year,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-solar,2030,FOM,4.166667,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-solar-rooftop,2030,FOM,2,%/year,ETIP PV
-solar-utility,2030,FOM,3,%/year,ETIP PV
-biomass,2030,FOM,4.526935,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-geothermal,2030,FOM,2.358491,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-coal,2030,FOM,1.923076,%/year,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
-lignite,2030,FOM,2.0,%/year,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
-oil,2030,FOM,1.5,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-PHS,2030,FOM,1,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-hydro,2030,FOM,1,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-ror,2030,FOM,2,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-CCGT,2030,FOM,2.5,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-OCGT,2030,FOM,3.75,%/year,DIW DataDoc http://hdl.handle.net/10419/80348
-onwind,2030,VOM,2.3,EUR/MWhel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-offwind,2030,VOM,2.7,EUR/MWhel,DEA https://ens.dk/en/our-services/projections-and-models/technology-data
-solar,2030,VOM,0.01,EUR/MWhel,RES costs made up to fix curtailment order
-coal,2030,VOM,6,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
-lignite,2030,VOM,7,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
-CCGT,2030,VOM,4,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
-OCGT,2030,VOM,3,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
-nuclear,2030,VOM,8,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
-gas,2030,fuel,21.6,EUR/MWhth,IEA2011b
-uranium,2030,fuel,3,EUR/MWhth,DIW DataDoc http://hdl.handle.net/10419/80348
-oil,2030,VOM,3,EUR/MWhel,DIW DataDoc http://hdl.handle.net/10419/80348
-nuclear,2030,fuel,3,EUR/MWhth,IEA2011b
-biomass,2030,fuel,7,EUR/MWhth,IEA2011b
-coal,2030,fuel,8.4,EUR/MWhth,IEA2011b
-lignite,2030,fuel,2.9,EUR/MWhth,IEA2011b
-oil,2030,fuel,50,EUR/MWhth,IEA WEM2017 97USD/boe = http://www.iea.org/media/weowebsite/2017/WEM_Documentation_WEO2017.pdf
-PHS,2030,efficiency,0.75,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-hydro,2030,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-ror,2030,efficiency,0.9,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-OCGT,2030,efficiency,0.39,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-CCGT,2030,efficiency,0.5,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-biomass,2030,efficiency,0.468,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-geothermal,2030,efficiency,0.239,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-nuclear,2030,efficiency,0.337,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-gas,2030,CO2 intensity,0.187,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
-coal,2030,efficiency,0.464,per unit,DIW DataDoc http://hdl.handle.net/10419/80348 PC (Advanced/SuperC)
-lignite,2030,efficiency,0.447,per unit,DIW DataDoc http://hdl.handle.net/10419/80348
-oil,2030,efficiency,0.393,per unit,DIW DataDoc http://hdl.handle.net/10419/80348 CT
-coal,2030,CO2 intensity,0.354,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
-lignite,2030,CO2 intensity,0.334,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
-oil,2030,CO2 intensity,0.248,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
-geothermal,2030,CO2 intensity,0.026,tCO2/MWth,https://www.eia.gov/environment/emissions/co2_vol_mass.php
-electrolysis,2030,investment,350,EUR/kWel,Palzer Thesis
-electrolysis,2030,FOM,4,%/year,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
-electrolysis,2030,lifetime,18,years,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
-electrolysis,2030,efficiency,0.8,per unit,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
-fuel cell,2030,investment,339,EUR/kWel,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
-fuel cell,2030,FOM,3,%/year,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
-fuel cell,2030,lifetime,20,years,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013
-fuel cell,2030,efficiency,0.58,per unit,NREL http://www.nrel.gov/docs/fy09osti/45873.pdf; budischak2013 conservative 2020
-hydrogen storage,2030,investment,11.2,USD/kWh,budischak2013
-hydrogen storage,2030,lifetime,20,years,budischak2013
-hydrogen underground storage,2030,investment,0.5,EUR/kWh,maximum from https://www.nrel.gov/docs/fy10osti/46719.pdf
-hydrogen underground storage,2030,lifetime,40,years,http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/de/Publikationen/Materialien/ESYS_Technologiesteckbrief_Energiespeicher.pdf
-H2 pipeline,2030,investment,267,EUR/MW/km,Welder et al https://doi.org/10.1016/j.ijhydene.2018.12.156
-H2 pipeline,2030,lifetime,40,years,Krieg2012 http://juser.fz-juelich.de/record/136392/files/Energie%26Umwelt_144.pdf
-H2 pipeline,2030,FOM,5,%/year,Krieg2012 http://juser.fz-juelich.de/record/136392/files/Energie%26Umwelt_144.pdf
-H2 pipeline,2030,efficiency,0.98,per unit,Krieg2012 http://juser.fz-juelich.de/record/136392/files/Energie%26Umwelt_144.pdf
-methanation,2030,investment,1000,EUR/kWH2,Schaber thesis
-methanation,2030,lifetime,25,years,Schaber thesis
-methanation,2030,FOM,3,%/year,Schaber thesis
-methanation,2030,efficiency,0.6,per unit,Palzer; Breyer for DAC
-helmeth,2030,investment,1000,EUR/kW,no source
-helmeth,2030,lifetime,25,years,no source
-helmeth,2030,FOM,3,%/year,no source
-helmeth,2030,efficiency,0.8,per unit,HELMETH press release
-DAC,2030,investment,250,EUR/(tCO2/a),Fasihi/Climeworks
-DAC,2030,lifetime,30,years,Fasihi
-DAC,2030,FOM,4,%/year,Fasihi
-battery inverter,2030,investment,411,USD/kWel,budischak2013
-battery inverter,2030,lifetime,20,years,budischak2013
-battery inverter,2030,efficiency,0.9,per unit charge/discharge,budischak2013; Lund and Kempton (2008) http://dx.doi.org/10.1016/j.enpol.2008.06.007
-battery inverter,2030,FOM,3,%/year,budischak2013
-battery storage,2030,investment,192,USD/kWh,budischak2013
-battery storage,2030,lifetime,15,years,budischak2013
-decentral air-sourced heat pump,2030,investment,1050,EUR/kWth,HP; Palzer thesis
-decentral air-sourced heat pump,2030,lifetime,20,years,HP; Palzer thesis
-decentral air-sourced heat pump,2030,FOM,3.5,%/year,Palzer thesis
-decentral air-sourced heat pump,2030,efficiency,3,per unit,default for costs
-decentral air-sourced heat pump,2030,discount rate,0.04,per unit,Palzer thesis
-decentral ground-sourced heat pump,2030,investment,1400,EUR/kWth,Palzer thesis
-decentral ground-sourced heat pump,2030,lifetime,20,years,Palzer thesis
-decentral ground-sourced heat pump,2030,FOM,3.5,%/year,Palzer thesis
-decentral ground-sourced heat pump,2030,efficiency,4,per unit,default for costs
-decentral ground-sourced heat pump,2030,discount rate,0.04,per unit,Palzer thesis
-central air-sourced heat pump,2030,investment,700,EUR/kWth,Palzer thesis
-central air-sourced heat pump,2030,lifetime,20,years,Palzer thesis
-central air-sourced heat pump,2030,FOM,3.5,%/year,Palzer thesis
-central air-sourced heat pump,2030,efficiency,3,per unit,default for costs
-retrofitting I,2030,discount rate,0.04,per unit,Palzer thesis
-retrofitting I,2030,lifetime,50,years,Palzer thesis
-retrofitting I,2030,FOM,1,%/year,Palzer thesis
-retrofitting I,2030,investment,50,EUR/m2/fraction reduction,Palzer thesis
-retrofitting II,2030,discount rate,0.04,per unit,Palzer thesis
-retrofitting II,2030,lifetime,50,years,Palzer thesis
-retrofitting II,2030,FOM,1,%/year,Palzer thesis
-retrofitting II,2030,investment,250,EUR/m2/fraction reduction,Palzer thesis
-water tank charger,2030,efficiency,0.9,per unit,HP
-water tank discharger,2030,efficiency,0.9,per unit,HP
-decentral water tank storage,2030,investment,860,EUR/m3,IWES Interaktion
-decentral water tank storage,2030,FOM,1,%/year,HP
-decentral water tank storage,2030,lifetime,20,years,HP
-decentral water tank storage,2030,discount rate,0.04,per unit,Palzer thesis
-central water tank storage,2030,investment,30,EUR/m3,IWES Interaktion
-central water tank storage,2030,FOM,1,%/year,HP
-central water tank storage,2030,lifetime,40,years,HP
-decentral resistive heater,2030,investment,100,EUR/kWhth,Schaber thesis
-decentral resistive heater,2030,lifetime,20,years,Schaber thesis
-decentral resistive heater,2030,FOM,2,%/year,Schaber thesis
-decentral resistive heater,2030,efficiency,0.9,per unit,Schaber thesis
-decentral resistive heater,2030,discount rate,0.04,per unit,Palzer thesis
-central resistive heater,2030,investment,100,EUR/kWhth,Schaber thesis
-central resistive heater,2030,lifetime,20,years,Schaber thesis
-central resistive heater,2030,FOM,2,%/year,Schaber thesis
-central resistive heater,2030,efficiency,0.9,per unit,Schaber thesis
-decentral gas boiler,2030,investment,175,EUR/kWhth,Palzer thesis
-decentral gas boiler,2030,lifetime,20,years,Palzer thesis
-decentral gas boiler,2030,FOM,2,%/year,Palzer thesis
-decentral gas boiler,2030,efficiency,0.9,per unit,Palzer thesis
-decentral gas boiler,2030,discount rate,0.04,per unit,Palzer thesis
-central gas boiler,2030,investment,63,EUR/kWhth,Palzer thesis
-central gas boiler,2030,lifetime,22,years,Palzer thesis
-central gas boiler,2030,FOM,1,%/year,Palzer thesis
-central gas boiler,2030,efficiency,0.9,per unit,Palzer thesis
-decentral CHP,2030,lifetime,25,years,HP
-decentral CHP,2030,investment,1400,EUR/kWel,HP
-decentral CHP,2030,FOM,3,%/year,HP
-decentral CHP,2030,discount rate,0.04,per unit,Palzer thesis
-central CHP,2030,lifetime,25,years,HP
-central CHP,2030,investment,650,EUR/kWel,HP
-central CHP,2030,FOM,3,%/year,HP
-decentral solar thermal,2030,discount rate,0.04,per unit,Palzer thesis
-decentral solar thermal,2030,FOM,1.3,%/year,HP
-decentral solar thermal,2030,investment,270000,EUR/1000m2,HP
-decentral solar thermal,2030,lifetime,20,years,HP
-central solar thermal,2030,FOM,1.4,%/year,HP
-central solar thermal,2030,investment,140000,EUR/1000m2,HP
-central solar thermal,2030,lifetime,20,years,HP
-HVAC overhead,2030,investment,400,EUR/MW/km,Hagspiel
-HVAC overhead,2030,lifetime,40,years,Hagspiel
-HVAC overhead,2030,FOM,2,%/year,Hagspiel
-HVDC overhead,2030,investment,400,EUR/MW/km,Hagspiel
-HVDC overhead,2030,lifetime,40,years,Hagspiel
-HVDC overhead,2030,FOM,2,%/year,Hagspiel
-HVDC submarine,2030,investment,2000,EUR/MW/km,DTU report based on Fig 34 of https://ec.europa.eu/energy/sites/ener/files/documents/2014_nsog_report.pdf
-HVDC submarine,2030,lifetime,40,years,Hagspiel
-HVDC submarine,2030,FOM,2,%/year,Hagspiel
-HVDC inverter pair,2030,investment,150000,EUR/MW,Hagspiel
-HVDC inverter pair,2030,lifetime,40,years,Hagspiel
-HVDC inverter pair,2030,FOM,2,%/year,Hagspiel

doc/conf.py

@@ -82,7 +82,7 @@ author = "Tom Brown (KIT, TUB, FIAS), Jonas Hoersch (KIT, FIAS), Fabian Hofmann
 # The short X.Y version.
 version = "0.8"
 # The full version, including alpha/beta/rc tags.
-release = "0.8.0"
+release = "0.8.1"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

doc/configtables/lines.csv

@@ -5,3 +5,9 @@ s_nom_max,MW,"float","Global upper limit for the maximum capacity of each extend
 max_extension,MW,"float","Upper limit for the extended capacity of each extendable line."
 length_factor,--,float,"Correction factor to account for the fact that buses are *not* connected by lines through air-line distance."
 under_construction,--,"One of {'zero': set capacity to zero, 'remove': remove completely, 'keep': keep with full capacity}","Specifies how to handle lines which are currently under construction."
+dynamic_line_rating,,,
+-- activate,bool,"true or false","Whether to take dynamic line rating into account"
+-- cutout,--,"Should be a folder listed in the configuration ``atlite: cutouts:`` (e.g. 'europe-2013-era5') or reference an existing folder in the directory ``cutouts``. Source module must be ERA5.","Specifies the directory where the relevant weather data ist stored."
+-- correction_factor,--,"float","Factor to compensate for overestimation of wind speeds in hourly averaged wind data"
+-- max_voltage_difference,deg,"float","Maximum voltage angle difference in degrees or 'false' to disable"
+-- max_line_rating,--,"float","Maximum line rating relative to nominal capacity without DLR, e.g. 1.3 or 'false' to disable"

doc/index.rst

@@ -78,10 +78,10 @@ them:
 
 .. note::
     You can find showcases of the model's capabilities in the Supplementary Materials of the
-    preprint `Benefits of a Hydrogen Network in Europe
-    <https://arxiv.org/abs/2207.05816>`_, the Supplementary Materials of the `paper in Joule with a
+    Joule paper `The potential role of a hydrogen network in Europe
+    <https://doi.org/10.1016/j.joule.2023.06.016>`_, the Supplementary Materials of another `paper in Joule with a
     description of the industry sector
-    <https://arxiv.org/abs/2109.09563>`_, or in `a 2021 presentation
+    <https://doi.org/10.1016/j.joule.2022.04.016>`_, or in `a 2021 presentation
     at EMP-E <https://nworbmot.org/energy/brown-empe.pdf>`_.
     The sector-coupled extension of PyPSA-Eur was
     initially described in the paper `Synergies of sector coupling and transmission
@@ -179,10 +179,13 @@ For sector-coupling studies: ::
 
     @misc{PyPSAEurSec,
         author = "Fabian Neumann and Elisabeth Zeyen and Marta Victoria and Tom Brown",
-        title = "The Potential Role of a Hydrogen Network in Europe",
-        year = "2022",
+        title = "The potential role of a hydrogen network in Europe",
+        journal "Joule",
+        volume = "7",
+        pages = "1--25"
+        year = "2023",
         eprint = "2207.05816",
-        url = "https://arxiv.org/abs/2207.05816",
+        doi = "10.1016/j.joule.2022.04.016",
     }
 
 For sector-coupling studies with pathway optimisation: ::

doc/release_notes.rst

@@ -10,43 +10,129 @@ Release Notes
 Upcoming Release
 ================
 
-* ``param:`` section in rule definition are added to track changed settings in ``config.yaml``. The goal is to automatically re-execute rules whose parameters have changed. See `Non-file parameters for rules <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#non-file-parameters-for-rules>`_ in the snakemake documentation.
+* Updated Global Energy Monitor LNG terminal data to March 2023 version.
 
-* **Important:** The configuration files are now located in the ``config`` directory. This counts for ``config.default.yaml``, ``config.yaml`` as well as the test configuration files which are now located in ``config/test``. Config files that are still in the root directory will be ignored.
+PyPSA-Eur 0.8.1 (27th July 2023)
+================================
 
-* Bugfix: Correct typo in the CPLEX solver configuration in ``config.default.yaml``.
+**New Features**
 
-* Bugfix: Error in ``add_electricity`` where carriers were added multiple times to the network, resulting in a non-unique carriers error.
+* Add option to consider dynamic line rating based on wind speeds and
+  temperature according to `Glaum and Hofmann (2022)
+  <https://arxiv.org/abs/2208.04716>`_. See configuration section ``lines:
+  dynamic_line_rating:`` for more details. (https://github.com/PyPSA/pypsa-eur/pull/675)
 
-* Renamed script file from PyPSA-EUR ``build_load_data`` to ``build_electricity_demand`` and ``retrieve_load_data`` to ``retrieve_electricity_demand``.
-
-* Fix docs readthedocs built
+* Add option to include a piecewise linear approximation of transmission losses,
+  e.g. by setting ``solving: options: transmission_losses: 2`` for an
+  approximation with two tangents. (https://github.com/PyPSA/pypsa-eur/pull/664)
 
 * Add plain hydrogen turbine as additional re-electrification option besides
   hydrogen fuel cell. Add switches for both re-electrification options under
   ``sector: hydrogen_turbine:`` and ``sector: hydrogen_fuel_cell:``.
-
-* A new function named ``sanitize_carrier`` ensures that all unique carrier names are present in the network's carriers attribute, and adds nice names and colors for each carrier according to the provided configuration dictionary.
-
-* Additional tech_color are added to include previously unlisted carriers.
-
-* Remove ``vresutils`` dependency.
+  (https://github.com/PyPSA/pypsa-eur/pull/647)
 
 * Added configuration option ``lines: max_extension:`` and ``links:
   max_extension:``` to control the maximum capacity addition per line or link in
-  MW.
+  MW. (https://github.com/PyPSA/pypsa-eur/pull/665)
 
-* Add option to include a piecewise linear approximation of transmission losses,
-  e.g. by setting ``solving: options: transmission_losses: 2`` for an
-  approximation with two tangents.
+* A ``param:`` section in the snakemake rule definitions was added to track
+  changed settings in ``config.yaml``. The goal is to automatically re-execute
+  rules where parameters have changed. See `Non-file parameters for rules
+  <https://snakemake.readthedocs.io/en/stable/snakefiles/rules.html#non-file-parameters-for-rules>`_
+  in the snakemake documentation. (https://github.com/PyPSA/pypsa-eur/pull/663)
+
+* A new function named ``sanitize_carrier`` ensures that all unique carrier
+  names are present in the network's carriers attribute, and adds nice names and
+  colors for each carrier according to the provided configuration dictionary.
+  (https://github.com/PyPSA/pypsa-eur/pull/653,
+  https://github.com/PyPSA/pypsa-eur/pull/690)
+
+* The configuration settings have been documented in more detail.
+  (https://github.com/PyPSA/pypsa-eur/pull/685)
+
+**Breaking Changes**
+
+* The configuration files are now located in the ``config`` directory. This
+  includes the ``config.default.yaml``, ``config.yaml`` as well as the test
+  configuration files which are now located in the ``config/test`` directory.
+  Config files that are still in the root directory will be ignored.
+  (https://github.com/PyPSA/pypsa-eur/pull/640)
+
+* Renamed script and rule name from ``build_load_data`` to
+  ``build_electricity_demand`` and ``retrieve_load_data`` to
+  ``retrieve_electricity_demand``. (https://github.com/PyPSA/pypsa-eur/pull/642,
+  https://github.com/PyPSA/pypsa-eur/pull/652)
+
+* Updated to new spatial clustering module introduced in PyPSA v0.25.
+  (https://github.com/PyPSA/pypsa-eur/pull/696)
+
+**Changes**
 
 * Handling networks with links with multiple inputs/outputs no longer requires
   to override component attributes.
+  (https://github.com/PyPSA/pypsa-eur/pull/695)
 
 * Added configuration option ``enable: retrieve:`` to control whether data
   retrieval rules from snakemake are enabled or not. Th default setting ``auto``
-  will automatically detect and enable/disable the rules based on internet connectivity.
+  will automatically detect and enable/disable the rules based on internet
+  connectivity. (https://github.com/PyPSA/pypsa-eur/pull/694)
 
+* Update to ``technology-data`` v0.6.0.
+  (https://github.com/PyPSA/pypsa-eur/pull/704)
+
+* Handle data bundle extraction paths via ``snakemake.output``.
+
+* Additional technologies are added to ``tech_color`` in the configuration files
+  to include previously unlisted carriers.
+
+* Doc: Added note that Windows is only tested in CI with WSL.
+  (https://github.com/PyPSA/pypsa-eur/issues/697)
+
+* Doc: Add support section. (https://github.com/PyPSA/pypsa-eur/pull/656)
+
+* Open ``rasterio`` files with ``rioxarray``.
+  (https://github.com/PyPSA/pypsa-eur/pull/474)
+
+* Migrate CI to ``micromamba``. (https://github.com/PyPSA/pypsa-eur/pull/700)
+
+**Bugs and Compatibility**
+
+* The new minimum PyPSA version is v0.25.1.
+
+* Removed ``vresutils`` dependency.
+  (https://github.com/PyPSA/pypsa-eur/pull/662)
+
+* Adapt to new ``powerplantmatching`` version.
+  (https://github.com/PyPSA/pypsa-eur/pull/687,
+  https://github.com/PyPSA/pypsa-eur/pull/701)
+
+* Bugfix: Correct typo in the CPLEX solver configuration in
+  ``config.default.yaml``. (https://github.com/PyPSA/pypsa-eur/pull/630)
+
+* Bugfix: Error in ``add_electricity`` where carriers were added multiple times
+  to the network, resulting in a non-unique carriers error.
+
+* Bugfix of optional reserve constraint.
+  (https://github.com/PyPSA/pypsa-eur/pull/645)
+
+* Fix broken equity constraints logic.
+  (https://github.com/PyPSA/pypsa-eur/pull/679)
+
+* Fix addition of load shedding generators.
+  (https://github.com/PyPSA/pypsa-eur/pull/649)
+
+* Fix automatic building of documentation on readthedocs.org.
+  (https://github.com/PyPSA/pypsa-eur/pull/658)
+
+* Bugfix: Update network clustering to avoid adding deleted links in clustered
+  network. (https://github.com/PyPSA/pypsa-eur/pull/678)
+
+* Address ``geopandas`` deprecations.
+  (https://github.com/PyPSA/pypsa-eur/pull/678)
+
+* Fix bug with underground hydrogen storage creation, where for some small model
+  regions no cavern storage is available.
+  (https://github.com/PyPSA/pypsa-eur/pull/672)
 
 
 PyPSA-Eur 0.8.0 (18th March 2023)

envs/environment.fixed.yaml

@@ -12,74 +12,93 @@ dependencies:
 - _libgcc_mutex=0.1
 - _openmp_mutex=4.5
 - affine=2.4.0
-- alsa-lib=1.2.8
+- alsa-lib=1.2.9
 - ampl-mp=3.1.0
-- amply=0.1.5
+- amply=0.1.6
+- anyio=3.7.1
 - appdirs=1.4.4
+- argon2-cffi=21.3.0
+- argon2-cffi-bindings=21.2.0
 - asttokens=2.2.1
-- atlite=0.2.10
+- async-lru=2.0.3
+- atk-1.0=2.38.0
+- atlite=0.2.11
 - attr=2.5.1
-- attrs=22.2.0
+- attrs=23.1.0
+- aws-c-auth=0.7.0
+- aws-c-cal=0.6.0
+- aws-c-common=0.8.23
+- aws-c-compression=0.2.17
+- aws-c-event-stream=0.3.1
+- aws-c-http=0.7.11
+- aws-c-io=0.13.28
+- aws-c-mqtt=0.8.14
+- aws-c-s3=0.3.13
+- aws-c-sdkutils=0.1.11
+- aws-checksums=0.1.16
+- aws-crt-cpp=0.20.3
+- aws-sdk-cpp=1.10.57
+- babel=2.12.1
 - backcall=0.2.0
 - backports=1.0
-- backports.functools_lru_cache=1.6.4
-- beautifulsoup4=4.11.2
-- blosc=1.21.3
-- bokeh=2.4.3
+- backports.functools_lru_cache=1.6.5
+- beautifulsoup4=4.12.2
+- bleach=6.0.0
+- blosc=1.21.4
+- bokeh=3.2.1
 - boost-cpp=1.78.0
-- bottleneck=1.3.6
+- bottleneck=1.3.7
 - branca=0.6.0
 - brotli=1.0.9
 - brotli-bin=1.0.9
-- brotlipy=0.7.0
+- brotli-python=1.0.9
 - bzip2=1.0.8
-- c-ares=1.18.1
-- ca-certificates=2022.12.7
+- c-ares=1.19.1
+- c-blosc2=2.10.0
+- ca-certificates=2023.7.22
 - cairo=1.16.0
 - cartopy=0.21.1
-- cdsapi=0.5.1
-- certifi=2022.12.7
+- cdsapi=0.6.1
+- certifi=2023.7.22
 - cffi=1.15.1
 - cfitsio=4.2.0
 - cftime=1.6.2
-- charset-normalizer=2.1.1
-- click=8.1.3
+- charset-normalizer=3.2.0
+- click=8.1.6
 - click-plugins=1.1.1
 - cligj=0.7.2
 - cloudpickle=2.2.1
-- coin-or-cbc=2.10.8
-- coin-or-cgl=0.60.6
-- coin-or-clp=1.17.7
-- coin-or-osi=0.108.7
-- coin-or-utils=2.11.6
-- coincbc=2.10.8
 - colorama=0.4.6
-- configargparse=1.5.3
+- comm=0.1.3
+- configargparse=1.7
 - connection_pool=0.0.3
-- country_converter=0.8.0
-- cryptography=39.0.1
-- curl=7.88.0
+- contourpy=1.1.0
+- country_converter=1.0.0
+- curl=8.2.0
 - cycler=0.11.0
-- cytoolz=0.12.0
-- dask=2023.2.0
-- dask-core=2023.2.0
+- cytoolz=0.12.2
+- dask=2023.7.1
+- dask-core=2023.7.1
 - datrie=0.8.2
 - dbus=1.13.6
+- debugpy=1.6.7
 - decorator=5.1.1
+- defusedxml=0.7.1
 - deprecation=2.1.0
 - descartes=1.1.0
-- distributed=2023.2.0
+- distributed=2023.7.1
 - distro=1.8.0
-- docutils=0.19
-- dpath=2.1.4
-- entsoe-py=0.5.8
+- docutils=0.20.1
+- dpath=2.1.6
+- entrypoints=0.4
+- entsoe-py=0.5.10
 - et_xmlfile=1.1.0
-- exceptiongroup=1.1.0
+- exceptiongroup=1.1.2
 - executing=1.2.0
 - expat=2.5.0
-- fftw=3.3.10
-- filelock=3.9.0
-- fiona=1.9.1
+- filelock=3.12.2
+- fiona=1.9.4
+- flit-core=3.9.0
 - folium=0.14.0
 - font-ttf-dejavu-sans-mono=2.37
 - font-ttf-inconsolata=3.000
@@ -88,293 +107,366 @@ dependencies:
 - fontconfig=2.14.2
 - fonts-conda-ecosystem=1
 - fonts-conda-forge=1
-- fonttools=4.38.0
+- fonttools=4.41.1
 - freetype=2.12.1
 - freexl=1.0.6
-- fsspec=2023.1.0
-- gdal=3.6.2
+- fribidi=1.0.10
+- fsspec=2023.6.0
+- gdal=3.7.0
+- gdk-pixbuf=2.42.10
 - geographiclib=1.52
 - geojson-rewind=1.0.2
-- geopandas=0.12.2
-- geopandas-base=0.12.2
+- geopandas=0.13.2
+- geopandas-base=0.13.2
 - geopy=2.3.0
-- geos=3.11.1
+- geos=3.11.2
 - geotiff=1.7.1
 - gettext=0.21.1
+- gflags=2.2.2
 - giflib=5.2.1
 - gitdb=4.0.10
-- gitpython=3.1.30
-- glib=2.74.1
-- glib-tools=2.74.1
+- gitpython=3.1.32
+- glib=2.76.4
+- glib-tools=2.76.4
+- glog=0.6.0
+- gmp=6.2.1
 - graphite2=1.3.13
-- gst-plugins-base=1.22.0
-- gstreamer=1.22.0
-- gstreamer-orc=0.4.33
-- harfbuzz=6.0.0
+- graphviz=8.1.0
+- gst-plugins-base=1.22.5
+- gstreamer=1.22.5
+- gtk2=2.24.33
+- gts=0.7.6
+- harfbuzz=7.3.0
 - hdf4=4.2.15
-- hdf5=1.12.2
-- heapdict=1.0.1
+- hdf5=1.14.1
 - humanfriendly=10.0
-- icu=70.1
+- icu=72.1
 - idna=3.4
-- importlib-metadata=6.0.0
-- importlib_resources=5.10.2
+- importlib-metadata=6.8.0
+- importlib_metadata=6.8.0
+- importlib_resources=6.0.0
 - iniconfig=2.0.0
-- ipopt=3.14.11
-- ipython=8.10.0
-- jack=1.9.22
+- ipopt=3.14.12
+- ipykernel=6.24.0
+- ipython=8.14.0
+- ipython_genutils=0.2.0
+- ipywidgets=8.0.7
 - jedi=0.18.2
 - jinja2=3.1.2
-- joblib=1.2.0
-- jpeg=9e
+- joblib=1.3.0
 - json-c=0.16
-- jsonschema=4.17.3
-- jupyter_core=5.2.0
-- kealib=1.5.0
+- json5=0.9.14
+- jsonschema=4.18.4
+- jsonschema-specifications=2023.7.1
+- jupyter=1.0.0
+- jupyter-lsp=2.2.0
+- jupyter_client=8.3.0
+- jupyter_console=6.6.3
+- jupyter_core=5.3.1
+- jupyter_events=0.6.3
+- jupyter_server=2.7.0
+- jupyter_server_terminals=0.4.4
+- jupyterlab=4.0.3
+- jupyterlab_pygments=0.2.2
+- jupyterlab_server=2.24.0
+- jupyterlab_widgets=3.0.8
+- kealib=1.5.1
 - keyutils=1.6.1
 - kiwisolver=1.4.4
-- krb5=1.20.1
+- krb5=1.21.1
 - lame=3.100
-- lcms2=2.14
+- lcms2=2.15
 - ld_impl_linux-64=2.40
 - lerc=4.0.0
+- libabseil=20230125.3
 - libaec=1.0.6
+- libarchive=3.6.2
+- libarrow=12.0.1
 - libblas=3.9.0
 - libbrotlicommon=1.0.9
 - libbrotlidec=1.0.9
 - libbrotlienc=1.0.9
-- libcap=2.66
+- libcap=2.67
 - libcblas=3.9.0
 - libclang=15.0.7
 - libclang13=15.0.7
+- libcrc32c=1.1.2
 - libcups=2.3.3
-- libcurl=7.88.0
-- libdb=6.2.32
-- libdeflate=1.17
+- libcurl=8.2.0
+- libdeflate=1.18
 - libedit=3.1.20191231
 - libev=4.33
-- libevent=2.1.10
+- libevent=2.1.12
+- libexpat=2.5.0
 - libffi=3.4.2
-- libflac=1.4.2
-- libgcc-ng=12.2.0
+- libflac=1.4.3
+- libgcc-ng=13.1.0
 - libgcrypt=1.10.1
-- libgdal=3.6.2
-- libgfortran-ng=12.2.0
-- libgfortran5=12.2.0
-- libglib=2.74.1
-- libgomp=12.2.0
-- libgpg-error=1.46
+- libgd=2.3.3
+- libgdal=3.7.0
+- libgfortran-ng=13.1.0
+- libgfortran5=13.1.0
+- libglib=2.76.4
+- libgomp=13.1.0
+- libgoogle-cloud=2.12.0
+- libgpg-error=1.47
+- libgrpc=1.56.2
 - libiconv=1.17
+- libjpeg-turbo=2.1.5.1
 - libkml=1.3.0
 - liblapack=3.9.0
 - liblapacke=3.9.0
 - libllvm15=15.0.7
-- libnetcdf=4.8.1
-- libnghttp2=1.51.0
+- libnetcdf=4.9.2
+- libnghttp2=1.52.0
 - libnsl=2.0.0
+- libnuma=2.0.16
 - libogg=1.3.4
-- libopenblas=0.3.21
+- libopenblas=0.3.23
 - libopus=1.3.1
 - libpng=1.6.39
-- libpq=15.2
+- libpq=15.3
+- libprotobuf=4.23.3
+- librsvg=2.56.1
 - librttopo=1.1.0
 - libsndfile=1.2.0
+- libsodium=1.0.18
 - libspatialindex=1.9.3
 - libspatialite=5.0.1
-- libsqlite=3.40.0
-- libssh2=1.10.0
-- libstdcxx-ng=12.2.0
-- libsystemd0=252
-- libtiff=4.5.0
+- libsqlite=3.42.0
+- libssh2=1.11.0
+- libstdcxx-ng=13.1.0
+- libsystemd0=253
+- libthrift=0.18.1
+- libtiff=4.5.1
 - libtool=2.4.7
-- libudev1=252
-- libuuid=2.32.1
+- libutf8proc=2.8.0
+- libuuid=2.38.1
 - libvorbis=1.3.7
-- libwebp-base=1.2.4
-- libxcb=1.13
+- libwebp=1.3.1
+- libwebp-base=1.3.1
+- libxcb=1.15
 - libxkbcommon=1.5.0
-- libxml2=2.10.3
+- libxml2=2.11.4
 - libxslt=1.1.37
 - libzip=1.9.2
 - libzlib=1.2.13
-- linopy=0.1.3
 - locket=1.0.0
-- lxml=4.9.2
+- lxml=4.9.3
 - lz4=4.3.2
 - lz4-c=1.9.4
 - lzo=2.10
 - mapclassify=2.5.0
-- markupsafe=2.1.2
+- markupsafe=2.1.3
 - matplotlib=3.5.3
 - matplotlib-base=3.5.3
 - matplotlib-inline=0.1.6
 - memory_profiler=0.61.0
-- metis=5.1.0
-- mpg123=1.31.2
-- msgpack-python=1.0.4
+- metis=5.1.1
+- mistune=3.0.0
+- mpg123=1.31.3
+- msgpack-python=1.0.5
 - mumps-include=5.2.1
 - mumps-seq=5.2.1
-- munch=2.5.0
+- munch=4.0.0
 - munkres=1.1.4
-- mysql-common=8.0.32
-- mysql-libs=8.0.32
-- nbformat=5.7.3
-- ncurses=6.3
-- netcdf4=1.6.2
-- networkx=3.0
+- mysql-common=8.0.33
+- mysql-libs=8.0.33
+- nbclient=0.8.0
+- nbconvert=7.7.2
+- nbconvert-core=7.7.2
+- nbconvert-pandoc=7.7.2
+- nbformat=5.9.1
+- ncurses=6.4
+- nest-asyncio=1.5.6
+- netcdf4=1.6.4
+- networkx=3.1
 - nomkl=1.0
+- notebook=7.0.0
+- notebook-shim=0.2.3
 - nspr=4.35
-- nss=3.88
-- numexpr=2.8.3
-- numpy=1.24
+- nss=3.89
+- numexpr=2.8.4
+- numpy=1.25.1
 - openjdk=17.0.3
 - openjpeg=2.5.0
-- openpyxl=3.1.0
-- openssl=3.0.8
-- packaging=23.0
-- pandas=1.5.3
+- openpyxl=3.1.2
+- openssl=3.1.1
+- orc=1.9.0
+- overrides=7.3.1
+- packaging=23.1
+- pandas=2.0.3
+- pandoc=3.1.3
+- pandocfilters=1.5.0
+- pango=1.50.14
 - parso=0.8.3
-- partd=1.3.0
+- partd=1.4.0
 - patsy=0.5.3
 - pcre2=10.40
 - pexpect=4.8.0
 - pickleshare=0.7.5
-- pillow=9.4.0
-- pip=23.0
+- pillow=10.0.0
+- pip=23.2.1
 - pixman=0.40.0
 - pkgutil-resolve-name=1.3.10
 - plac=1.3.5
-- platformdirs=3.0.0
-- pluggy=1.0.0
+- platformdirs=3.9.1
+- pluggy=1.2.0
 - ply=3.11
-- pooch=1.6.0
-- poppler=22.12.0
+- pooch=1.7.0
+- poppler=23.05.0
 - poppler-data=0.4.12
-- postgresql=15.2
-- powerplantmatching=0.5.6
+- postgresql=15.3
+- powerplantmatching=0.5.7
 - progressbar2=4.2.0
-- proj=9.1.0
-- prompt-toolkit=3.0.36
-- psutil=5.9.4
+- proj=9.2.1
+- prometheus_client=0.17.1
+- prompt-toolkit=3.0.39
+- prompt_toolkit=3.0.39
+- psutil=5.9.5
 - pthread-stubs=0.4
 - ptyprocess=0.7.0
 - pulp=2.7.0
-- pulseaudio=16.1
+- pulseaudio-client=16.1
 - pure_eval=0.2.2
+- py-cpuinfo=9.0.0
+- pyarrow=12.0.1
 - pycountry=22.3.5
 - pycparser=2.21
-- pygments=2.14.0
-- pyomo=6.4.4
-- pyopenssl=23.0.0
-- pyparsing=3.0.9
-- pyproj=3.4.1
-- pypsa=0.22.1
+- pygments=2.15.1
+- pyomo=6.6.1
+- pyparsing=3.1.0
+- pyproj=3.6.0
 - pyqt=5.15.7
 - pyqt5-sip=12.11.0
-- pyrsistent=0.19.3
 - pyshp=2.3.1
 - pysocks=1.7.1
-- pytables=3.7.0
-- pytest=7.2.1
-- python=3.10.9
+- pytables=3.8.0
+- pytest=7.4.0
+- python=3.10.12
 - python-dateutil=2.8.2
-- python-fastjsonschema=2.16.2
-- python-utils=3.5.2
+- python-fastjsonschema=2.18.0
+- python-json-logger=2.0.7
+- python-tzdata=2023.3
+- python-utils=3.7.0
 - python_abi=3.10
-- pytz=2022.7.1
+- pytz=2023.3
 - pyxlsb=1.0.10
 - pyyaml=6.0
+- pyzmq=25.1.0
 - qt-main=5.15.8
-- rasterio=1.3.4
-- readline=8.1.2
-- requests=2.28.1
-- retry=0.9.2
-- rich=12.5.1
-- rioxarray=0.13.3
-- rtree=1.0.0
-- s2n=1.0.10
-- scikit-learn=1.1.1
-- scipy=1.8.1
+- qtconsole=5.4.3
+- qtconsole-base=5.4.3
+- qtpy=2.3.1
+- rasterio=1.3.8
+- rdma-core=28.9
+- re2=2023.03.02
+- readline=8.2
+- referencing=0.30.0
+- requests=2.31.0
+- reretry=0.11.8
+- rfc3339-validator=0.1.4
+- rfc3986-validator=0.1.1
+- rioxarray=0.14.1
+- rpds-py=0.9.2
+- rtree=1.0.1
+- s2n=1.3.46
+- scikit-learn=1.3.0
+- scipy=1.11.1
 - scotch=6.0.9
 - seaborn=0.12.2
 - seaborn-base=0.12.2
-- setuptools=67.3.2
+- send2trash=1.8.2
+- setuptools=68.0.0
 - setuptools-scm=7.1.0
 - setuptools_scm=7.1.0
 - shapely=2.0.1
-- sip=6.7.7
+- sip=6.7.10
 - six=1.16.0
 - smart_open=6.3.0
 - smmap=3.0.5
-- snakemake-minimal=7.22.0
-- snappy=1.1.9
+- snakemake-minimal=7.30.2
+- snappy=1.1.10
+- sniffio=1.3.0
 - snuggs=1.4.7
 - sortedcontainers=2.4.0
 - soupsieve=2.3.2.post1
-- sqlite=3.40.0
+- sqlite=3.42.0
 - stack_data=0.6.2
-- statsmodels=0.13.5
+- statsmodels=0.14.0
 - stopit=1.1.2
 - tabula-py=2.6.0
 - tabulate=0.9.0
 - tblib=1.7.0
-- threadpoolctl=3.1.0
+- terminado=0.17.1
+- threadpoolctl=3.2.0
 - throttler=1.2.1
 - tiledb=2.13.2
+- tinycss2=1.2.1
 - tk=8.6.12
 - toml=0.10.2
 - tomli=2.0.1
 - toolz=0.12.0
-- toposort=1.9
-- tornado=6.2
-- tqdm=4.64.1
+- toposort=1.10
+- tornado=6.3.2
+- tqdm=4.65.0
 - traitlets=5.9.0
-- typing-extensions=4.4.0
-- typing_extensions=4.4.0
-- tzcode=2022g
-- tzdata=2022g
+- typing-extensions=4.7.1
+- typing_extensions=4.7.1
+- typing_utils=0.1.0
+- tzcode=2023c
+- tzdata=2023c
+- ucx=1.14.1
 - unicodedata2=15.0.0
 - unidecode=1.3.6
 - unixodbc=2.3.10
-- urllib3=1.26.14
+- urllib3=2.0.4
 - wcwidth=0.2.6
-- wheel=0.38.4
-- wrapt=1.14.1
-- xarray=2023.2.0
+- webencodings=0.5.1
+- websocket-client=1.6.1
+- wheel=0.41.0
+- widgetsnbextension=4.0.8
+- wrapt=1.15.0
+- xarray=2023.7.0
 - xcb-util=0.4.0
 - xcb-util-image=0.4.0
 - xcb-util-keysyms=0.4.0
 - xcb-util-renderutil=0.3.9
 - xcb-util-wm=0.4.1
 - xerces-c=3.2.4
+- xkeyboard-config=2.39
 - xlrd=2.0.1
 - xorg-fixesproto=5.0
 - xorg-inputproto=2.3.2
 - xorg-kbproto=1.0.7
-- xorg-libice=1.0.10
-- xorg-libsm=1.2.3
-- xorg-libx11=1.7.2
-- xorg-libxau=1.0.9
+- xorg-libice=1.1.1
+- xorg-libsm=1.2.4
+- xorg-libx11=1.8.6
+- xorg-libxau=1.0.11
 - xorg-libxdmcp=1.1.3
 - xorg-libxext=1.3.4
 - xorg-libxfixes=5.0.3
 - xorg-libxi=1.7.10
-- xorg-libxrender=0.9.10
+- xorg-libxrender=0.9.11
 - xorg-libxtst=1.2.3
 - xorg-recordproto=1.14.2
 - xorg-renderproto=0.11.1
 - xorg-xextproto=7.3.0
+- xorg-xf86vidmodeproto=2.3.1
 - xorg-xproto=7.0.31
-- xyzservices=2022.9.0
+- xyzservices=2023.7.0
 - xz=5.2.6
 - yaml=0.2.5
 - yte=1.5.1
-- zict=2.2.0
-- zipp=3.13.0
+- zeromq=4.3.4
+- zict=3.0.0
+- zipp=3.16.2
 - zlib=1.2.13
+- zlib-ng=2.0.7
 - zstd=1.5.2
 - pip:
-  - countrycode==0.2
-  - highspy==1.5.0.dev0
-  - pybind11==2.10.3
-  - tsam==2.2.2
+  - gurobipy==10.0.2
+  - linopy==0.2.2
+  - pypsa==0.25.1
+  - tsam==2.3.0
+  - validators==0.20.0

envs/environment.yaml

@@ -53,6 +53,7 @@ dependencies:
 - descartes
 - rasterio!=1.2.10
 
+
 - pip:
   - tsam>=1.1.0
-  - git+https://github.com/pypsa/pypsa.git
+  - pypsa>=0.25.1

rules/build_electricity.smk

@@ -295,6 +295,30 @@ rule build_hydro_profile:
         "../scripts/build_hydro_profile.py"
 
 
+if config["lines"]["dynamic_line_rating"]["activate"]:
+
+    rule build_line_rating:
+        input:
+            base_network=RESOURCES + "networks/base.nc",
+            cutout="cutouts/"
+            + CDIR
+            + config["lines"]["dynamic_line_rating"]["cutout"]
+            + ".nc",
+        output:
+            output=RESOURCES + "networks/line_rating.nc",
+        log:
+            LOGS + "build_line_rating.log",
+        benchmark:
+            BENCHMARKS + "build_line_rating"
+        threads: ATLITE_NPROCESSES
+        resources:
+            mem_mb=ATLITE_NPROCESSES * 1000,
+        conda:
+            "../envs/environment.yaml"
+        script:
+            "../scripts/build_line_rating.py"
+
+
 rule add_electricity:
     params:
         length_factor=config["lines"]["length_factor"],
@@ -317,6 +341,9 @@ rule add_electricity:
             if str(fn).startswith("data/")
         },
         base_network=RESOURCES + "networks/base.nc",
+        line_rating=RESOURCES + "networks/line_rating.nc"
+        if config["lines"]["dynamic_line_rating"]["activate"]
+        else RESOURCES + "networks/base.nc",
         tech_costs=COSTS,
         regions=RESOURCES + "regions_onshore.geojson",
         powerplants=RESOURCES + "powerplants.csv",

rules/build_sector.smk

@@ -86,7 +86,7 @@ if config["sector"]["gas_network"] or config["sector"]["H2_retrofit"]:
     rule build_gas_input_locations:
         input:
             lng=HTTP.remote(
-                "https://globalenergymonitor.org/wp-content/uploads/2022/09/Europe-Gas-Tracker-August-2022.xlsx",
+                "https://globalenergymonitor.org/wp-content/uploads/2023/07/Europe-Gas-Tracker-2023-03-v3.xlsx",
                 keep_local=True,
             ),
             entry="data/gas_network/scigrid-gas/data/IGGIELGN_BorderPoints.geojson",

scripts/add_electricity.py

@@ -782,6 +782,30 @@ def estimate_renewable_capacities(n, year, tech_map, expansion_limit, countries)
             )
 
 
+def attach_line_rating(
+    n, rating, s_max_pu, correction_factor, max_voltage_difference, max_line_rating
+):
+    # TODO: Only considers overhead lines
+    n.lines_t.s_max_pu = (rating / n.lines.s_nom[rating.columns]) * correction_factor
+    if max_voltage_difference:
+        x_pu = (
+            n.lines.type.map(n.line_types["x_per_length"])
+            * n.lines.length
+            / (n.lines.v_nom**2)
+        )
+        # need to clip here as cap values might be below 1
+        # -> would mean the line cannot be operated at actual given pessimistic ampacity
+        s_max_pu_cap = (
+            np.deg2rad(max_voltage_difference) / (x_pu * n.lines.s_nom)
+        ).clip(lower=1)
+        n.lines_t.s_max_pu = n.lines_t.s_max_pu.clip(
+            lower=1, upper=s_max_pu_cap, axis=1
+        )
+    if max_line_rating:
+        n.lines_t.s_max_pu = n.lines_t.s_max_pu.clip(upper=max_line_rating)
+    n.lines_t.s_max_pu *= s_max_pu
+
+
 if __name__ == "__main__":
     if "snakemake" not in globals():
         from _helpers import mock_snakemake
@@ -881,6 +905,23 @@ if __name__ == "__main__":
 
     update_p_nom_max(n)
 
+    line_rating_config = snakemake.config["lines"]["dynamic_line_rating"]
+    if line_rating_config["activate"]:
+        rating = xr.open_dataarray(snakemake.input.line_rating).to_pandas().transpose()
+        s_max_pu = snakemake.config["lines"]["s_max_pu"]
+        correction_factor = line_rating_config["correction_factor"]
+        max_voltage_difference = line_rating_config["max_voltage_difference"]
+        max_line_rating = line_rating_config["max_line_rating"]
+
+        attach_line_rating(
+            n,
+            rating,
+            s_max_pu,
+            correction_factor,
+            max_voltage_difference,
+            max_line_rating,
+        )
+
     sanitize_carriers(n, snakemake.config)
 
     n.meta = snakemake.config

scripts/build_line_rating.py

@@ -0,0 +1,155 @@
+# -*- coding: utf-8 -*-
+# SPDX-FileCopyrightText: : 2017-2020 The PyPSA-Eur Authors
+#
+# SPDX-License-Identifier: MIT
+
+# coding: utf-8
+"""
+Adds dynamic line rating timeseries to the base network.
+
+Relevant Settings
+-----------------
+
+.. code:: yaml
+
+    lines:
+        cutout:
+        line_rating:
+
+
+.. seealso::
+    Documentation of the configuration file ``config.yaml`
+Inputs
+------
+
+- ``data/cutouts``:
+- ``networks/base.nc``: confer :ref:`base`
+
+Outputs
+-------
+
+- ``resources/line_rating.nc``
+
+
+Description
+-----------
+
+The rule :mod:`build_line_rating` calculates the line rating for transmission lines.
+The line rating provides the maximal capacity of a transmission line considering the heat exchange with the environment.
+
+The following heat gains and losses are considered:
+
+- heat gain through resistive losses
+- heat gain through solar radiation
+- heat loss through radiation of the trasnmission line
+- heat loss through forced convection with wind
+- heat loss through natural convection
+
+
+With a heat balance considering the maximum temperature threshold of the transmission line,
+the maximal possible capacity factor "s_max_pu" for each transmission line at each time step is calculated.
+"""
+
+import logging
+import re
+
+import atlite
+import geopandas as gpd
+import numpy as np
+import pandas as pd
+import pypsa
+import xarray as xr
+from _helpers import configure_logging
+from shapely.geometry import LineString as Line
+from shapely.geometry import Point
+
+
+def calculate_resistance(T, R_ref, T_ref=293, alpha=0.00403):
+    """
+    Calculates the resistance at other temperatures than the reference
+    temperature.
+
+    Parameters
+    ----------
+    T : Temperature at which resistance is calculated in [°C] or [K]
+    R_ref : Resistance at reference temperature in [Ohm] or [Ohm/Per Length Unit]
+    T_ref : Reference temperature in [°C] or [K]
+    alpha: Temperature coefficient in [1/K]
+        Defaults are:
+            * T_ref : 20 °C
+            * alpha : 0.00403 1/K
+
+    Returns
+    -------
+    Resistance of at given temperature.
+    """
+    R = R_ref * (1 + alpha * (T - T_ref))
+    return R
+
+
+def calculate_line_rating(n, cutout):
+    """
+    Calculates the maximal allowed power flow in each line for each time step
+    considering the maximal temperature.
+
+    Parameters
+    ----------
+    n : pypsa.Network object containing information on grid
+
+    Returns
+    -------
+    xarray DataArray object with maximal power.
+    """
+    relevant_lines = n.lines[(n.lines["underground"] == False)]
+    buses = relevant_lines[["bus0", "bus1"]].values
+    x = n.buses.x
+    y = n.buses.y
+    shapes = [Line([Point(x[b0], y[b0]), Point(x[b1], y[b1])]) for (b0, b1) in buses]
+    shapes = gpd.GeoSeries(shapes, index=relevant_lines.index)
+    if relevant_lines.r_pu.eq(0).all():
+        # Overwrite standard line resistance with line resistance obtained from line type
+        r_per_length = n.line_types["r_per_length"]
+        R = (
+            relevant_lines.join(r_per_length, on=["type"])["r_per_length"] / 1000
+        )  # in meters
+        # If line type with bundles is given retrieve number of conductors per bundle
+        relevant_lines["n_bundle"] = (
+            relevant_lines["type"]
+            .where(relevant_lines["type"].str.contains("bundle"))
+            .dropna()
+            .apply(lambda x: int(re.findall(r"(\d+)-bundle", x)[0]))
+        )
+        # Set default number of bundles per line
+        relevant_lines["n_bundle"].fillna(1, inplace=True)
+        R *= relevant_lines["n_bundle"]
+        R = calculate_resistance(T=353, R_ref=R)
+    Imax = cutout.line_rating(shapes, R, D=0.0218, Ts=353, epsilon=0.8, alpha=0.8)
+    line_factor = relevant_lines.eval("v_nom * n_bundle * num_parallel") / 1e3  # in mW
+    da = xr.DataArray(
+        data=np.sqrt(3) * Imax * line_factor.values.reshape(-1, 1),
+        attrs=dict(
+            description="Maximal possible power in MW for given line considering line rating"
+        ),
+    )
+    return da
+
+
+if __name__ == "__main__":
+    if "snakemake" not in globals():
+        from _helpers import mock_snakemake
+
+        snakemake = mock_snakemake(
+            "build_line_rating",
+            network="elec",
+            simpl="",
+            clusters="5",
+            ll="v1.0",
+            opts="Co2L-4H",
+        )
+    configure_logging(snakemake)
+
+    n = pypsa.Network(snakemake.input.base_network)
+    cutout = atlite.Cutout(snakemake.input.cutout)
+
+    da = calculate_line_rating(n, cutout)
+    da.to_netcdf(snakemake.output[0])

scripts/solve_network.py

@@ -596,6 +596,7 @@ def extra_functionality(n, snapshots):
 def solve_network(n, config, solving, opts="", **kwargs):
     set_of_options = solving["solver"]["options"]
     cf_solving = solving["options"]
+
     kwargs["solver_options"] = (
         solving["solver_options"][set_of_options] if set_of_options else {}
     )
@@ -605,6 +606,7 @@ def solve_network(n, config, solving, opts="", **kwargs):
     kwargs["linearized_unit_commitment"] = cf_solving.get(
         "linearized_unit_commitment", False
     )
+    kwargs["assign_all_duals"] = cf_solving.get("assign_all_duals", False)
 
     rolling_horizon = cf_solving.pop("rolling_horizon", False)
     skip_iterations = cf_solving.pop("skip_iterations", False)