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virio-andreyana 2023-02-24 14:42:51 +01:00
parent d237e60b25
commit 379ed0da93
6 changed files with 16 additions and 16 deletions
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4
scripts/add_brownfield.py
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@ -16,7 +16,7 @@ from helper import override_component_attrs, update_config_with_sector_opts
def add_brownfield(n, n_p, year):
logger.info(f"preparing brownfield for the year {year}")
logger.info(f"Preparing brownfield for the year {year}")
# electric transmission grid set optimised capacities of previous as minimum
n.lines.s_nom_min = n_p.lines.s_nom_opt
@ -126,7 +126,7 @@ if __name__ == "__main__":
update_config_with_sector_opts(snakemake.config, snakemake.wildcards.sector_opts)
logger.info(f"preparing brownfield from the file {snakemake.input.network_p}")
logger.info(f"Preparing brownfield from the file {snakemake.input.network_p}")
year = int(snakemake.wildcards.planning_horizons)

4
scripts/add_existing_baseyear.py
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@ -120,7 +120,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
to read lifetime to estimate YearDecomissioning
baseyear : int
"""
logger.debug(f"adding power capacities installed before {baseyear} from powerplants.csv")
logger.debug(f"Adding power capacities installed before {baseyear} from powerplants.csv")
df_agg = pd.read_csv(snakemake.input.powerplants, index_col=0)
@ -352,7 +352,7 @@ def add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years
services proportional to heating load in both 50% capacities
in rural busess 50% in urban buses
"""
logger.debug(f"adding heating capacities installed before {baseyear}")
logger.debug(f"Adding heating capacities installed before {baseyear}")
# Add existing heating capacities, data comes from the study
# "Mapping and analyses of the current and future (2020 - 2030)

2
scripts/make_summary.py
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@ -540,7 +540,7 @@ def make_summaries(networks_dict):
df[output] = pd.DataFrame(columns=columns, dtype=float)
for label, filename in networks_dict.items():
logger.info(f"make summary for scenario {label}, using {filename}")
logger.info(f"Make summary for scenario {label}, using {filename}")
overrides = override_component_attrs(snakemake.input.overrides)
n = pypsa.Network(filename, override_component_attrs=overrides)

4
scripts/plot_network.py
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@ -105,7 +105,7 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
# drop non-bus
to_drop = costs.index.levels[0].symmetric_difference(n.buses.index)
if len(to_drop) != 0:
logger.info(f"dropping non-buses {to_drop.tolist()}")
logger.info(f"Dropping non-buses {to_drop.tolist()}")
costs.drop(to_drop, level=0, inplace=True, axis=0, errors="ignore")
# make sure they are removed from index
@ -754,7 +754,7 @@ def plot_series(network, carrier="AC", name="test"):
to_drop = supply.columns[(abs(supply) < threshold).all()]
if len(to_drop) != 0:
logger.info(f"dropping {to_drop.tolist()} from supply")
logger.info(f"Dropping {to_drop.tolist()} from supply")
supply.drop(columns=to_drop, inplace=True)
supply.index.name = None

6
scripts/plot_summary.py
View File

@ -136,7 +136,7 @@ def plot_costs():
to_drop = df.index[df.max(axis=1) < snakemake.config['plotting']['costs_threshold']]
logger.info(f"dropping technology with costs below {snakemake.config['plotting']['costs_threshold']} EUR billion per year")
logger.info(f"Dropping technology with costs below {snakemake.config['plotting']['costs_threshold']} EUR billion per year")
logger.debug(df.loc[to_drop])
df = df.drop(to_drop)
@ -191,7 +191,7 @@ def plot_energy():
to_drop = df.index[df.abs().max(axis=1) < snakemake.config['plotting']['energy_threshold']]
logger.info(f"dropping all technology with energy consumption or production below {snakemake.config['plotting']['energy_threshold']} TWh/a")
logger.info(f"Dropping all technology with energy consumption or production below {snakemake.config['plotting']['energy_threshold']} TWh/a")
logger.debug(df.loc[to_drop])
df = df.drop(to_drop)
@ -265,7 +265,7 @@ def plot_balances():
else:
units = "TWh/a"
logger.info(f"dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}")
logger.info(f"Dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}")
logger.debug(df.loc[to_drop])
df = df.drop(to_drop)

12
scripts/prepare_sector_network.py
View File

@ -706,7 +706,7 @@ def prepare_costs(cost_file, USD_to_EUR, discount_rate, Nyears, lifetime):
def add_generation(n, costs):
logger.info("adding electricity generation")
logger.info("Adding electricity generation")
nodes = pop_layout.index
@ -737,7 +737,7 @@ def add_generation(n, costs):
def add_ammonia(n, costs):
logger.info("adding ammonia carrier with synthesis, cracking and storage")
logger.info("Adding ammonia carrier with synthesis, cracking and storage")
nodes = pop_layout.index
@ -1495,7 +1495,7 @@ def add_heat(n, costs):
# exogenously reduce space heat demand
if options["reduce_space_heat_exogenously"]:
dE = get(options["reduce_space_heat_exogenously_factor"], investment_year)
logger.info(f"assumed space heat reduction of {dE:.2%}")
logger.info(f"Assumed space heat reduction of {dE:.2%}")
for sector in sectors:
heat_demand[sector + " space"] = (1 - dE) * heat_demand[sector + " space"]
@ -2647,7 +2647,7 @@ def maybe_adjust_costs_and_potentials(n, opts):
# TODO this should rather be a config no wildcard
def limit_individual_line_extension(n, maxext):
logger.info(f"limiting new HVAC and HVDC extensions to {maxext} MW")
logger.info(f"Limiting new HVAC and HVDC extensions to {maxext} MW")
n.lines['s_nom_max'] = n.lines['s_nom'] + maxext
hvdc = n.links.index[n.links.carrier == 'DC']
n.links.loc[hvdc, 'p_nom_max'] = n.links.loc[hvdc, 'p_nom'] + maxext
@ -2814,7 +2814,7 @@ def set_temporal_aggregation(n, opts, solver_name):
m = re.match(r"(^\d+)sn$", o, re.IGNORECASE)
if m is not None:
sn = int(m[1])
logger.info(f"use every {sn} snapshot as representative")
logger.info(f"Use every {sn} snapshot as representative")
n.set_snapshots(n.snapshots[::sn])
n.snapshot_weightings *= sn
break
@ -2822,7 +2822,7 @@ def set_temporal_aggregation(n, opts, solver_name):
m = re.match(r"^(\d+)seg$", o, re.IGNORECASE)
if m is not None:
segments = int(m[1])
logger.info(f"use temporal segmentation with {segments} segments")
logger.info(f"Use temporal segmentation with {segments} segments")
n = apply_time_segmentation(n, segments, solver_name=solver_name)
break
return n