Merge branch 'master' into multiyear

This commit is contained in:
Fabian Neumann 2022-07-20 15:18:42 +02:00
commit d2b2842a37
8 changed files with 110 additions and 52 deletions

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@ -104,6 +104,6 @@ jobs:
conda activate pypsa-eur
conda list
cp test/config.overnight.yaml config.yaml
snakemake -call solve_all_networks
snakemake -call
cp test/config.myopic.yaml config.yaml
snakemake -call solve_all_networks
snakemake -call

View File

@ -20,14 +20,16 @@ all greenhouse gas emitters except waste management and land use.
**WARNING**: PyPSA-Eur-Sec is under active development and has several
[limitations](https://pypsa-eur-sec.readthedocs.io/en/latest/limitations.html) which
you should understand before using the model. The github repository
[issues](https://github.com/PyPSA/pypsa-eur-sec/issues) collects known
topics we are working on (please feel free to help or make suggestions). There is neither a full
documentation nor a paper yet, but we hope to have a preprint out by mid-2022.
You can find out more about the model capabilities in [a recent
presentation at EMP-E](https://nworbmot.org/energy/brown-empe.pdf) or the
following [paper in Joule with a description of the industry
sector](https://arxiv.org/abs/2109.09563). We cannot support this model if you
choose to use it.
[issues](https://github.com/PyPSA/pypsa-eur-sec/issues) collect known
topics we are working on (please feel free to help or make suggestions).
The [documentation](https://pypsa-eur-sec.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.
Please see the [documentation](https://pypsa-eur-sec.readthedocs.io/)
for installation instructions and other useful information about the snakemake workflow.

View File

@ -235,6 +235,7 @@ sector:
marginal_cost_storage: 0. #1e-4
methanation: true
helmeth: true
coal_cc: false
dac: true
co2_vent: true
SMR: true

View File

@ -33,17 +33,20 @@ waste management, agriculture, forestry and land use.
**WARNING**: PyPSA-Eur-Sec is under active development and has several
`limitations <https://pypsa-eur-sec.readthedocs.io/en/latest/limitations.html>`_ which
you should understand before using the model. The github repository
`issues <https://github.com/PyPSA/pypsa-eur-sec/issues>`_ collects known
topics we are working on (please feel free to help or make suggestions). There is neither a full
documentation nor a paper yet, but we hope to have a preprint out by mid-2022.
We cannot support this model if you
choose to use it.
`issues <https://github.com/PyPSA/pypsa-eur-sec/issues>`_ collect known
topics we are working on (please feel free to help or make suggestions).
The `documentation <https://pypsa-eur-sec.readthedocs.io/>`_ remains somewhat
patchy.
We cannot support this model if you choose to use it.
.. note::
More about the current model capabilities and preliminary results
can be found in `a recent presentation at EMP-E <https://nworbmot.org/energy/brown-empe.pdf>`_
and the following `paper in Joule with a description of the industry sector <https://arxiv.org/abs/2109.09563>`_.
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>`_.
This diagram gives an overview of the sectors and the links between
them:

View File

@ -56,6 +56,8 @@ incorporates retrofitting options to hydrogen.
**New features and functionality**
* Units are assigned to the buses. These only provide a better understanding. The specifications of the units are not taken into account in the optimisation, which means that no automatic conversion of units takes place.
* Option ``retrieve_sector_databundle`` to automatically retrieve and extract data bundle.
* Add regionalised hydrogen salt cavern storage potentials from `Technical Potential of Salt Caverns for Hydrogen Storage in Europe <https://doi.org/10.20944/preprints201910.0187.v1>`_.

View File

@ -1,5 +1,6 @@
from shutil import copy
import yaml
files = {
"config.yaml": "config.yaml",
@ -14,5 +15,16 @@ if __name__ == '__main__':
from helper import mock_snakemake
snakemake = mock_snakemake('copy_config')
basepath = snakemake.config['summary_dir'] + '/' + snakemake.config['run'] + '/configs/'
for f, name in files.items():
copy(f,snakemake.config['summary_dir'] + '/' + snakemake.config['run'] + '/configs/' + name)
copy(f, basepath + name)
with open(basepath + 'config.snakemake.yaml', 'w') as yaml_file:
yaml.dump(
snakemake.config,
yaml_file,
default_flow_style=False,
allow_unicode=True,
sort_keys=False
)

View File

@ -58,6 +58,7 @@ def mock_snakemake(rulename, **wildcards):
import os
from pypsa.descriptors import Dict
from snakemake.script import Snakemake
from packaging.version import Version, parse
script_dir = Path(__file__).parent.resolve()
assert Path.cwd().resolve() == script_dir, \
@ -67,7 +68,8 @@ def mock_snakemake(rulename, **wildcards):
if os.path.exists(p):
snakefile = p
break
workflow = sm.Workflow(snakefile, overwrite_configfiles=[])
kwargs = dict(rerun_triggers=[]) if parse(sm.__version__) > Version("7.7.0") else {}
workflow = sm.Workflow(snakefile, overwrite_configfiles=[], **kwargs)
workflow.include(snakefile)
workflow.global_resources = {}
rule = workflow.get_rule(rulename)

View File

@ -385,10 +385,13 @@ def add_carrier_buses(n, carrier, nodes=None):
n.add("Carrier", carrier)
unit = "MWh_LHV" if carrier == "gas" else "MWh_th"
n.madd("Bus",
nodes,
location=location,
carrier=carrier
carrier=carrier,
unit=unit
)
#capital cost could be corrected to e.g. 0.2 EUR/kWh * annuity and O&M
@ -439,6 +442,7 @@ def patch_electricity_network(n):
update_wind_solar_costs(n, costs)
n.loads["carrier"] = "electricity"
n.buses["location"] = n.buses.index
n.buses["unit"] = "MWh_el"
# remove trailing white space of load index until new PyPSA version after v0.18.
n.loads.rename(lambda x: x.strip(), inplace=True)
n.loads_t.p_set.rename(lambda x: x.strip(), axis=1, inplace=True)
@ -455,7 +459,8 @@ def add_co2_tracking(n, options):
n.add("Bus",
"co2 atmosphere",
location="EU",
carrier="co2"
carrier="co2",
unit="t_co2"
)
# can also be negative
@ -471,7 +476,8 @@ def add_co2_tracking(n, options):
n.madd("Bus",
spatial.co2.nodes,
location=spatial.co2.locations,
carrier="co2 stored"
carrier="co2 stored",
unit="t_co2"
)
n.madd("Store",
@ -703,7 +709,8 @@ def insert_electricity_distribution_grid(n, costs):
n.madd("Bus",
nodes + " low voltage",
location=nodes,
carrier="low voltage"
carrier="low voltage",
unit="MWh_el"
)
n.madd("Link",
@ -770,7 +777,8 @@ def insert_electricity_distribution_grid(n, costs):
n.madd("Bus",
nodes + " home battery",
location=nodes,
carrier="home battery"
carrier="home battery",
unit="MWh_el"
)
n.madd("Store",
@ -845,7 +853,8 @@ def add_storage_and_grids(n, costs):
n.madd("Bus",
nodes + " H2",
location=nodes,
carrier="H2"
carrier="H2",
unit="MWh_LHV"
)
n.madd("Link",
@ -1051,7 +1060,8 @@ def add_storage_and_grids(n, costs):
n.madd("Bus",
nodes + " battery",
location=nodes,
carrier="battery"
carrier="battery",
unit="MWh_el"
)
n.madd("Store",
@ -1118,6 +1128,24 @@ def add_storage_and_grids(n, costs):
lifetime=costs.at['helmeth', 'lifetime']
)
if options.get('coal_cc'):
n.madd("Link",
spatial.nodes,
suffix=" coal CC",
bus0=spatial.coal.nodes,
bus1=spatial.nodes,
bus2="co2 atmosphere",
bus3="co2 stored",
marginal_cost=costs.at['coal', 'efficiency'] * costs.at['coal', 'VOM'], #NB: VOM is per MWel
capital_cost=costs.at['coal', 'efficiency'] * costs.at['coal', 'fixed'] + costs.at['biomass CHP capture', 'fixed'] * costs.at['coal', 'CO2 intensity'], #NB: fixed cost is per MWel
p_nom_extendable=True,
carrier="coal",
efficiency=costs.at['coal', 'efficiency'],
efficiency2=costs.at['coal', 'CO2 intensity'] * (1 - costs.at['biomass CHP capture','capture_rate']),
efficiency3=costs.at['coal', 'CO2 intensity'] * costs.at['biomass CHP capture','capture_rate'],
lifetime=costs.at['coal','lifetime']
)
if options['SMR']:
@ -1181,7 +1209,8 @@ def add_land_transport(n, costs):
nodes,
location=nodes,
suffix=" EV battery",
carrier="Li ion"
carrier="Li ion",
unit="MWh_el"
)
p_set = electric_share * (transport[nodes] + cycling_shift(transport[nodes], 1) + cycling_shift(transport[nodes], 2)) / 3
@ -1255,7 +1284,8 @@ def add_land_transport(n, costs):
n.madd("Bus",
spatial.oil.nodes,
location=spatial.oil.locations,
carrier="oil"
carrier="oil",
unit="MWh_LHV"
)
ice_efficiency = options['transport_internal_combustion_efficiency']
@ -1363,7 +1393,8 @@ def add_heat(n, costs):
n.madd("Bus",
nodes[name] + f" {name} heat",
location=nodes[name],
carrier=name + " heat"
carrier=name + " heat",
unit="MWh_th"
)
## Add heat load
@ -1420,7 +1451,8 @@ def add_heat(n, costs):
n.madd("Bus",
nodes[name] + f" {name} water tanks",
location=nodes[name],
carrier=name + " water tanks"
carrier=name + " water tanks",
unit="MWh_th"
)
n.madd("Link",
@ -1449,9 +1481,6 @@ def add_heat(n, costs):
"for 'decentral' and 'central' separately.")
tes_time_constant_days = options["tes_tau"] if name_type == "decentral" else 180.
# conversion from EUR/m^3 to EUR/MWh for 40 K diff and 1.17 kWh/m^3/K
capital_cost = costs.at[name_type + ' water tank storage', 'fixed'] / 0.00117 / 40
n.madd("Store",
nodes[name] + f" {name} water tanks",
bus=nodes[name] + f" {name} water tanks",
@ -1459,7 +1488,7 @@ def add_heat(n, costs):
e_nom_extendable=True,
carrier=name + " water tanks",
standing_loss=1 - np.exp(- 1 / 24 / tes_time_constant_days),
capital_cost=capital_cost,
capital_cost=costs.at[name_type + ' water tank storage', 'fixed'],
lifetime=costs.at[name_type + ' water tank storage', 'lifetime']
)
@ -1725,13 +1754,15 @@ def add_biomass(n, costs):
n.madd("Bus",
spatial.gas.biogas,
location=spatial.gas.locations,
carrier="biogas"
carrier="biogas",
unit="MWh_LHV"
)
n.madd("Bus",
spatial.biomass.nodes,
location=spatial.biomass.locations,
carrier="solid biomass"
carrier="solid biomass",
unit="MWh_LHV"
)
n.madd("Store",
@ -1842,7 +1873,8 @@ def add_industry(n, costs):
n.madd("Bus",
spatial.biomass.industry,
location=spatial.biomass.locations,
carrier="solid biomass for industry"
carrier="solid biomass for industry",
unit="MWh_LHV"
)
if options["biomass_transport"]:
@ -1884,7 +1916,8 @@ def add_industry(n, costs):
n.madd("Bus",
spatial.gas.industry,
location=spatial.gas.locations,
carrier="gas for industry")
carrier="gas for industry",
unit="MWh_LHV")
gas_demand = industrial_demand.loc[nodes, "methane"] / 8760.
@ -1940,7 +1973,8 @@ def add_industry(n, costs):
nodes,
suffix=" H2 liquid",
carrier="H2 liquid",
location=nodes
location=nodes,
unit="MWh_LHV"
)
n.madd("Link",
@ -1998,7 +2032,8 @@ def add_industry(n, costs):
n.madd("Bus",
spatial.oil.nodes,
location=spatial.oil.locations,
carrier="oil"
carrier="oil",
unit="MWh_LHV"
)
if "oil" not in n.stores.carrier.unique():
@ -2112,7 +2147,8 @@ def add_industry(n, costs):
n.add("Bus",
"process emissions",
location="EU",
carrier="process emissions"
carrier="process emissions",
unit="t_co2"
)
# this should be process emissions fossil+feedstock
@ -2297,7 +2333,7 @@ if __name__ == "__main__":
simpl='',
opts="",
clusters="37",
lv=1.0,
lv=1.5,
sector_opts='Co2L0-168H-T-H-B-I-solar3-dist1',
planning_horizons="2020",
)