pypsa-eur/scripts/build_cop_profiles.py

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# -*- coding: utf-8 -*-
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# SPDX-FileCopyrightText: : 2020-2024 The PyPSA-Eur Authors
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#
# SPDX-License-Identifier: MIT
Revision complete (#139) * 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>
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"""
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Build coefficient of performance (COP) time series for air- or ground-sourced
heat pumps.
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For individual (decentral) heat pumps, the COP is approximated as a quatratic function of the temperature difference between source and sink, based on Staffell et al. 2012.
For district (central) heating, the COP is approximated based on Jensen et al. 2018 and parameters from Pieper et al. 2020.
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This rule is executed in ``build_sector.smk``.
Relevant Settings
-----------------
.. code:: yaml
heat_pump_sink_T:
Inputs:
-------
- ``resources/<run_name>/temp_soil_total_elec_s<simpl>_<clusters>.nc``: Soil temperature (total) time series.
- ``resources/<run_name>/temp_air_total_elec_s<simpl>_<clusters>.nc``: Ambient air temperature (total) time series.
Outputs:
--------
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- ``resources/cop_air_decentral_heating_elec_s<simpl>_<clusters>.nc``: COP (air-sourced) time series (decentral heating).
- ``resources/cop_soil_decentral_heating_elec_s<simpl>_<clusters>.nc``: COP (ground-sourced) time series (decentral heating).
- ``resources/cop_air_central_heating_elec_s<simpl>_<clusters>.nc``: COP (air-sourced) time series (central heating).
- ``resources/cop_soil_central_heating_elec_s<simpl>_<clusters>.nc``: COP (ground-sourced) time series (central heating).
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References
----------
[1] Staffell et al., Energy & Environmental Science 11 (2012): A review of domestic heat pumps, https://doi.org/10.1039/C2EE22653G.
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[2] Jensen et al., Proceedings of the13th IIR-Gustav Lorentzen Conference on Natural Refrigerants (2018): Heat pump COP, part 2: Generalized COP estimation of heat pump processes, https://doi.org/10.18462/iir.gl.2018.1386
[3] Pieper et al., Energy 205 (2020): Comparison of COP estimation methods for large-scale heat pumps used in energy planning, https://doi.org/10.1016/j.energy.2020.117994
Revision complete (#139) * 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>
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"""
from enum import Enum
from typing import Union
import numpy as np
import xarray as xr
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from _helpers import set_scenario_config
def coefficient_of_performance_individual_heating(delta_T, source="air"):
Revision complete (#139) * 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>
2021-07-01 18:09:04 +00:00
if source == "air":
return 6.81 - 0.121 * delta_T + 0.000630 * delta_T**2
elif source == "soil":
return 8.77 - 0.150 * delta_T + 0.000734 * delta_T**2
else:
raise NotImplementedError("'source' must be one of ['air', 'soil']")
def celsius_to_kelvin(
t_celsius: Union[float, xr.DataArray, np.array]
) -> Union[float, xr.DataArray, np.array]:
if (np.asarray(t_celsius) > 200).any():
raise ValueError("t_celsius > 200. Are you sure you are using the right units?")
return t_celsius + 273.15
def logarithmic_mean(
t_hot: Union[float, xr.DataArray, np.ndarray],
t_cold: Union[float, xr.DataArray, np.ndarray],
) -> Union[float, xr.DataArray, np.ndarray]:
if (np.asarray(t_hot <= t_cold)).any():
raise ValueError("t_hot must be greater than t_cold")
return (t_hot - t_cold) / np.log(t_hot / t_cold)
class CopDistrictHeating:
def __init__(
self,
forward_temperature_celsius: Union[xr.DataArray, np.array],
source_inlet_temperature_celsius: Union[xr.DataArray, np.array],
return_temperature_celsius: Union[xr.DataArray, np.array],
source_outlet_temperature_celsius: Union[xr.DataArray, np.array],
delta_t_pinch_point: float = 5,
isentropic_compressor_efficiency: float = 0.8,
heat_loss: float = 0.0,
) -> None:
"""
Initialize the COPProfileBuilder object.
Parameters:
----------
forward_temperature_celsius : Union[xr.DataArray, np.array]
The forward temperature in Celsius.
return_temperature_celsius : Union[xr.DataArray, np.array]
The return temperature in Celsius.
source_inlet_temperature_celsius : Union[xr.DataArray, np.array]
The source inlet temperature in Celsius.
source_outlet_temperature_celsius : Union[xr.DataArray, np.array]
The source outlet temperature in Celsius.
delta_t_pinch_point : float, optional
The pinch point temperature difference, by default 5.
isentropic_compressor_efficiency : float, optional
The isentropic compressor efficiency, by default 0.8.
heat_loss : float, optional
The heat loss, by default 0.0.
"""
self.t_source_in = celsius_to_kelvin(source_inlet_temperature_celsius)
self.t_sink_out = celsius_to_kelvin(forward_temperature_celsius)
self.t_sink_in = celsius_to_kelvin(return_temperature_celsius)
self.t_source_out = celsius_to_kelvin(source_outlet_temperature_celsius)
self.isentropic_efficiency_compressor = isentropic_compressor_efficiency
self.heat_loss = heat_loss
self.delta_t_pinch = delta_t_pinch_point
def cop(self) -> Union[xr.DataArray, np.array]:
"""
Calculate the coefficient of performance (COP) for the system.
Returns:
Union[xr.DataArray, np.array]: The calculated COP values.
"""
return (
self.ideal_lorenz_cop
* (
(
1
+ (self.delta_t_refrigerant_sink + self.delta_t_pinch)
/ self.t_sink_mean
)
/ (
1
+ (
self.delta_t_refrigerant_sink
+ self.delta_t_refrigerant_source
+ 2 * self.delta_t_pinch
)
/ self.delta_t_lift
)
)
* self.isentropic_efficiency_compressor
* (1 - self.ratio_evaporation_compression_work)
+ 1
- self.isentropic_efficiency_compressor
- self.heat_loss
)
@property
def t_sink_mean(self) -> Union[xr.DataArray, np.array]:
"""
Calculate the logarithmic mean temperature difference between the cold
and hot sinks.
Returns
-------
Union[xr.DataArray, np.array]
The mean temperature difference.
"""
return logarithmic_mean(t_cold=self.t_sink_in, t_hot=self.t_sink_out)
@property
def t_source_mean(self) -> Union[xr.DataArray, np.array]:
"""
Calculate the logarithmic mean temperature of the heat source.
Returns
-------
Union[xr.DataArray, np.array]
The mean temperature of the heat source.
"""
return logarithmic_mean(t_hot=self.t_source_in, t_cold=self.t_source_out)
@property
def delta_t_lift(self) -> Union[xr.DataArray, np.array]:
"""
Calculate the temperature lift as the difference between the
logarithmic sink and source temperatures.
Returns
-------
Union[xr.DataArray, np.array]
The temperature difference between the sink and source.
"""
return self.t_sink_mean - self.t_source_mean
@property
def ideal_lorenz_cop(self) -> Union[xr.DataArray, np.array]:
"""
Ideal Lorenz coefficient of performance (COP).
The ideal Lorenz COP is calculated as the ratio of the mean sink temperature
to the lift temperature difference.
Returns
-------
np.array
The ideal Lorenz COP.
"""
return self.t_sink_mean / self.delta_t_lift
@property
def delta_t_refrigerant_source(self) -> Union[xr.DataArray, np.array]:
"""
Calculate the temperature difference between the refrigerant source
inlet and outlet.
Returns
-------
Union[xr.DataArray, np.array]
The temperature difference between the refrigerant source inlet and outlet.
"""
return self._approximate_delta_t_refrigerant_source(
delta_t_source=self.t_source_in - self.t_source_out
)
@property
def delta_t_refrigerant_sink(self) -> Union[xr.DataArray, np.array]:
"""
Temperature difference between the refrigerant and the sink based on
approximation.
Returns
-------
Union[xr.DataArray, np.array]
The temperature difference between the refrigerant and the sink.
"""
return self._approximate_delta_t_refrigerant_sink()
@property
def ratio_evaporation_compression_work(self) -> Union[xr.DataArray, np.array]:
"""
Calculate the ratio of evaporation to compression work based on
approximation.
Returns
-------
Union[xr.DataArray, np.array]
The calculated ratio of evaporation to compression work.
"""
return self._ratio_evaporation_compression_work_approximation()
@property
def delta_t_sink(self) -> Union[xr.DataArray, np.array]:
"""
Calculate the temperature difference at the sink.
Returns
-------
Union[xr.DataArray, np.array]
The temperature difference at the sink.
"""
return self.t_sink_out - self.t_sink_in
def _approximate_delta_t_refrigerant_source(
self, delta_t_source: Union[xr.DataArray, np.array]
) -> Union[xr.DataArray, np.array]:
"""
Approximates the temperature difference between the refrigerant and the
source.
Parameters
----------
delta_t_source : Union[xr.DataArray, np.array]
The temperature difference for the refrigerant source.
Returns
-------
Union[xr.DataArray, np.array]
The approximate temperature difference for the refrigerant source.
"""
return delta_t_source / 2
def _approximate_delta_t_refrigerant_sink(
self,
refrigerant: str = "ammonia",
a: float = {"ammonia": 0.2, "isobutane": -0.0011},
b: float = {"ammonia": 0.2, "isobutane": 0.3},
c: float = {"ammonia": 0.016, "isobutane": 2.4},
) -> Union[xr.DataArray, np.array]:
"""
Approximates the temperature difference at the refrigerant sink.
Parameters:
----------
refrigerant : str, optional
The refrigerant used in the system. Either 'isobutane' or 'ammonia. Default is 'ammonia'.
a : float, optional
Coefficient for the temperature difference between the sink and source, default is 0.2.
b : float, optional
Coefficient for the temperature difference at the sink, default is 0.2.
c : float, optional
Constant term, default is 0.016.
Returns:
-------
Union[xr.DataArray, np.array]
The approximate temperature difference at the refrigerant sink.
Notes:
------
This function assumes ammonia as the refrigerant.
The approximate temperature difference at the refrigerant sink is calculated using the following formula:
a * (t_sink_out - t_source_out + 2 * delta_t_pinch) + b * delta_t_sink + c
"""
if refrigerant not in a.keys():
raise ValueError(
f"Invalid refrigerant '{refrigerant}'. Must be one of {a.keys()}"
)
return (
a[refrigerant]
* (self.t_sink_out - self.t_source_out + 2 * self.delta_t_pinch)
+ b[refrigerant] * self.delta_t_sink
+ c[refrigerant]
)
def _ratio_evaporation_compression_work_approximation(
self,
refrigerant: str = "ammonia",
a: float = {"ammonia": 0.0014, "isobutane": 0.0035},
b: float = {"ammonia": -0.0015, "isobutane": -0.0033},
c: float = {"ammonia": 0.039, "isobutane": 0.053},
) -> Union[xr.DataArray, np.array]:
"""
Calculate the ratio of evaporation to compression work approximation.
Parameters:
----------
refrigerant : str, optional
The refrigerant used in the system. Either 'isobutane' or 'ammonia. Default is 'ammonia'.
a : float, optional
Coefficient 'a' in the approximation equation. Default is 0.0014.
b : float, optional
Coefficient 'b' in the approximation equation. Default is -0.0015.
c : float, optional
Coefficient 'c' in the approximation equation. Default is 0.039.
Returns:
-------
Union[xr.DataArray, np.array]
The calculated ratio of evaporation to compression work.
Notes:
------
This function assumes ammonia as the refrigerant.
The approximation equation used is:
ratio = a * (t_sink_out - t_source_out + 2 * delta_t_pinch) + b * delta_t_sink + c
"""
if refrigerant not in a.keys():
raise ValueError(
f"Invalid refrigerant '{refrigerant}'. Must be one of {a.keys()}"
)
return (
a[refrigerant]
* (self.t_sink_out - self.t_source_out + 2 * self.delta_t_pinch)
+ b[refrigerant] * self.delta_t_sink
+ c[refrigerant]
)
Revision complete (#139) * 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>
2021-07-01 18:09:04 +00:00
if __name__ == "__main__":
if "snakemake" not in globals():
2023-03-06 18:09:45 +00:00
from _helpers import mock_snakemake
Revision complete (#139) * 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>
2021-07-01 18:09:04 +00:00
snakemake = mock_snakemake(
"build_cop_profiles",
simpl="",
clusters=48,
)
2024-02-12 10:53:20 +00:00
set_scenario_config(snakemake)
for source in ["air", "soil"]:
source_T = xr.open_dataarray(snakemake.input[f"temp_{source}_total"])
2024-07-19 16:54:19 +00:00
delta_T = snakemake.params.heat_pump_sink_T_decentral_heating - source_T
cop_individual_heating = coefficient_of_performance_individual_heating(
delta_T, source
)
cop_individual_heating.to_netcdf(
snakemake.output[f"cop_{source}_decentral_heating"]
)
cop_district_heating = CopDistrictHeating(
forward_temperature_celsius=snakemake.params.forward_temperature_district_heating,
return_temperature_celsius=snakemake.params.return_temperature_district_heating,
source_inlet_temperature_celsius=source_T,
source_outlet_temperature_celsius=source_T
- snakemake.params.heat_source_cooling_district_heating,
).cop()
Revision complete (#139) * 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>
2021-07-01 18:09:04 +00:00
cop_district_heating.to_netcdf(
snakemake.output[f"cop_{source}_central_heating"]
)