* ammonia_production: minor cleaning and move into __main__ (#106)
* biomass_potentials: code cleaning and automatic country index inferral (#107)
* Revision: build energy totals (#111)
* blacken
* energy_totals: preliminaries
* energy_totals: update build_swiss
* energy_totals: update build_eurostat
* energy_totals: update build_idees
* energy_totals: update build_energy_totals
* energy_totals: update build_eea_co2
* energy_totals: update build_eurostat_co2
* energy_totals: update build_co2_totals
* energy_totals: update build_transport_data
* energy_totals: add tqdm progressbar to idees
* energy_totals: adjust __main__ section
* energy_totals: handle inputs via Snakefile and config
* energy_totals: handle data and emissions year via config
* energy_totals: fix reading in eurostat for different years
* energy_totals: fix erroneous drop duplicates
This caused problems for waste management in HU and SI
* energy_totals: make scope selection of CO2 or GHG a config option
* Revision: build industrial production per country (#114)
* industry-ppc: format
* industry-ppc: rewrite for performance
* industry-ppc: move reference year to config
* industry-ppct: tidy up and format (#115)
* remove stale industry demand rules (#116)
* industry-epc: rewrite for performance (#117)
* Revision: industrial distribution key (#118)
* industry-distribution: first tidying
* industry-distribution: first tidying
* industry-distribution: fix syntax
* Revision: industrial energy demand per node today (#119)
* industry-epn: minor code cleaning
* industry-epn: remove accidental artifact
* industry-epn: remove accidental artifact II
* industry-ppn: code cleaning (#120)
* minor code cleaning (#121)
* Revision: industry sector ratios (#122)
* sector-ratios: basic reformatting
* sector-ratios: add new read_excel function that filters year already
* sector-ratios: rename jrc to idees
* sector-ratios: rename conv_factor to toe_to_MWh
* sector-ratios: modularise into functions
* Move overriding of component attributes to function and into data (#123)
* move overriding of component attributes to central function and store in separate folder
* fix return of helper.override_component_attrs
* prepare: fix accidental syntax error
* override_component_attrs: bugfix that aligns with pypsa components
* Revision: build population layout (#108)
* population_layouts: move inside __main__ and blacken
* population_layouts: misc code cleaning and multiprocessing
* population_layouts: fix fill_values assignment of urban fractions
* population_layouts: bugfig for UK-GB naming ambiguity
* population_layouts: sort countries alphabetically for better overview
* config: change path to atlite cutout
* Revision: build clustered population layouts (#112)
* population_layouts: move inside __main__ and blacken
* population_layouts: misc code cleaning and multiprocessing
* population_layouts: fix fill_values assignment of urban fractions
* population_layouts: bugfig for UK-GB naming ambiguity
* population_layouts: sort countries alphabetically for better overview
* cl_pop_layout: blacken
* cl_pop_layout: turn GeoDataFrame into GeoSeries + code cleaning
* cl_pop_layout: add fraction column which is repeatedly calculated downstream
* Revision: build various heating-related time series (#113)
* population_layouts: move inside __main__ and blacken
* population_layouts: misc code cleaning and multiprocessing
* population_layouts: fix fill_values assignment of urban fractions
* population_layouts: bugfig for UK-GB naming ambiguity
* population_layouts: sort countries alphabetically for better overview
* cl_pop_layout: blacken
* cl_pop_layout: turn GeoDataFrame into GeoSeries + code cleaning
* gitignore: add .vscode
* heating_profiles: update to new atlite and move into __main__
* heating_profiles: remove extra cutout
* heating_profiles: load regions with .buffer(0) and remove clean_invalid_geometries
* heating_profiles: load regions with .buffer(0) before squeeze()
* heating_profiles: account for transpose of dataarray
* heating_profiles: account for transpose of dataarray in add_exiting_baseyear
* Reduce verbosity of Snakefile (2) (#128)
* tidy Snakefile light
* Snakefile: fix indents
* Snakefile: add missing RDIR
* tidy config by removing quotes and expanding lists (#109)
* bugfix: reorder squeeze() and buffer()
* plot/summary: cosmetic changes including: (#131)
- matplotlibrc for default style and backend
- remove unused config options
- option to configure geomap colors
- option to configure geomap bounds
* solve: align with pypsa-eur using ilopf (#129)
* tidy myopic code scripts (#132)
* use mock_snakemake from pypsa-eur (#133)
* Snakefile: add benchmark files to each rule
* Snakefile: only run build_retro_cost if endogenously optimised
* Snakefile: remove old {network} wildcard constraints
* WIP: Revision: prepare_sector_network (#124)
* population_layouts: move inside __main__ and blacken
* population_layouts: misc code cleaning and multiprocessing
* population_layouts: fix fill_values assignment of urban fractions
* population_layouts: bugfig for UK-GB naming ambiguity
* population_layouts: sort countries alphabetically for better overview
* cl_pop_layout: blacken
* cl_pop_layout: turn GeoDataFrame into GeoSeries + code cleaning
* move overriding of component attributes to central function and store in separate folder
* prepare: sort imports and remove six dependency
* prepare: remove add_emission_prices
* prepare: remove unused set_line_s_max_pu
This is a function from prepare_network
* prepare: remove unused set_line_volume_limit
This is a PyPSA-Eur function from prepare_network
* prepare: tidy add_co2limit
* remove six dependency
* prepare: tidy code first batch
* prepare: extend override_component_attrs to avoid hacky madd
* prepare: remove hacky madd() for individual components
* prepare: tidy shift function
* prepare: nodes and countries from n.buses not pop_layout
* prepare: tidy loading of pop_layout
* prepare: fix prepare_costs function
* prepare: optimise loading of traffic data
* prepare: move localizer into generate_periodic profiles
* prepare: some formatting of transport data
* prepare: eliminate some code duplication
* prepare: fix remove_h2_network
- only try to remove EU H2 store if it exists
- remove readding nodal Stores because they are never removed
* prepare: move cost adjustment to own function
* prepare: fix a syntax error
* prepare: add investment_year to get() assuming global variable
* prepare: move co2_totals out of prepare_data()
* Snakefile: remove unused prepare_sector_network inputs
* prepare: move limit p/s_nom of lines/links into function
* prepare: tidy add_co2limit file handling
* Snakefile: fix tabs
* override_component_attrs: add n/a defaults
* README: Add network picture to make scope clear
* README: Fix date of preprint (was too optimistic...)
* prepare: move some more config options to config.yaml
* prepare: runtime bugfixes
* fix benchmark path
* adjust plot ylims
* add unit attribute to bus, correct cement capture efficiency
* bugfix: land usage constrained missed inplace operation
Co-authored-by: Tom Brown <tom@nworbmot.org>
* add release notes
* remove old fix_branches() function
* deps: make geopy optional, remove unused imports
* increase default BarConvTol
* get ready for upcoming PyPSA release
* re-remove ** bug
* amend release notes
Co-authored-by: Tom Brown <tom@nworbmot.org>
In almost 99.5% of cases the CHP dispatches along the backpressure
line where heat output is proportional to electricity output.
So we can switch to a single link to avoid the burden of modelling the
full electricity-heat feasibility space of CHPs.
This only applies to large CHPs in district heating networks.
Strategy is too keep as much of configuration in config.yaml as
possible.
We also aim to allow exogenous investment-year-dependent
configurations to be done in a similar manner (e.g. share of district
heating or FCEV transport).
df.loc[idx[a,b,some_list],label] does NOT preserve the ordering of
some_list, but sorts it instead. Therefore the pattern:
df.loc[idx[a,b,s.index],label] = s.values
was mismatching the index and values.
With new pandas:
pd.Index([])|pd.MultiIndex(...)
returns a pd.Index, not a pd.MultiIndex, so just reversed:
pd.MultiIndex(...)|pd.Index([])
This returns a pd.MultiIndex.
Heat buses renamed to:
rural (for low-density areas where district heating not possible)
urban decentral (for high-density areas without district heating and
individual heating technologies) (used to be called "urban")
urban central (for high-density areas with district heating) (used to
be called "central")
District heating losses applied only to urban central.
