def get_upstream_process_df(eia_gen_year):
"""
Automatically load all of the upstream emissions data from the various
modules. Will return a dataframe with upstream emissions from
coal, natural gas, petroleum, nuclear, and plant construction.
"""
import electricitylci.coal_upstream as coal
import electricitylci.natural_gas_upstream as ng
import electricitylci.petroleum_upstream as petro
import electricitylci.nuclear_upstream as nuke
import electricitylci.power_plant_construction as const
from electricitylci.combinator import concat_map_upstream_databases
print("Generating upstream inventories...")
coal_df = coal.generate_upstream_coal(eia_gen_year)
ng_df = ng.generate_upstream_ng(eia_gen_year)
petro_df = petro.generate_petroleum_upstream(eia_gen_year)
nuke_df = nuke.generate_upstream_nuc(eia_gen_year)
const = const.generate_power_plant_construction(eia_gen_year)
#coal and ng already conform to mapping so no mapping needed
upstream_df = concat_map_upstream_databases(eia_gen_year, petro_df,
nuke_df, const)
upstream_df = pd.concat([upstream_df, coal_df, ng_df],
sort=False,
ignore_index=True)
return upstream_df
def get_upstream_process_df():
"""
Automatically load all of the upstream emissions data from the various
modules. Will return a dataframe with upstream emissions from
coal, natural gas, petroleum, and nuclear.
"""
import electricitylci.coal_upstream as coal
import electricitylci.natural_gas_upstream as ng
import electricitylci.petroleum_upstream as petro
import electricitylci.nuclear_upstream as nuke
import electricitylci.power_plant_construction as const
from electricitylci.combinator import concat_map_upstream_databases
from electricitylci.model_config import eia_gen_year
print("Generating upstream inventories...")
coal_df = coal.generate_upstream_coal(eia_gen_year)
ng_df = ng.generate_upstream_ng(eia_gen_year)
petro_df = petro.generate_petroleum_upstream(eia_gen_year)
nuke_df = nuke.generate_upstream_nuc(eia_gen_year)
const = const.generate_power_plant_construction(eia_gen_year)
upstream_df = concat_map_upstream_databases(coal_df, ng_df, petro_df,
nuke_df, const)
return upstream_df
gen_plus_up_df = fill_nans(gen_plus_up_df)
return gen_plus_up_df
if __name__ == "__main__":
import electricitylci.coal_upstream as coal
import electricitylci.natural_gas_upstream as ng
import electricitylci.petroleum_upstream as petro
import electricitylci.geothermal as geo
import electricitylci.solar_upstream as solar
import electricitylci.wind_upstream as wind
import electricitylci.nuclear_upstream as nuke
coal_df = coal.generate_upstream_coal(2016)
ng_df = ng.generate_upstream_ng(2016)
petro_df = petro.generate_petroleum_upstream(2016)
geo_df = geo.generate_upstream_geo(2016)
solar_df = solar.generate_upstream_solar(2016)
wind_df = wind.generate_upstream_wind(2016)
nuke_df = nuke.generate_upstream_nuc(2016)
upstream_df = concat_map_upstream_databases(
coal_df, ng_df, petro_df, geo_df, nuke_df, solar_df, wind_df
)
plant_df = altg.create_generation_process_df()
plant_df["stage_code"] = "Power plant"
print(plant_df.columns)
print(upstream_df.columns)
combined_df = concat_clean_upstream_and_plant(plant_df, upstream_df)
canadian_inventory = import_impacts.generate_canadian_mixes(combined_df)
combined_df = pd.concat([combined_df, canadian_inventory])
combined_df.sort_values(
# ar["dataDocumentor"] = metadata["DataDocumentor"]
# ar["dataGenerator"] = metadata["DataGenerator"]
# ar["dataSetOwner"] = metadata["DatasetOwner"]
# ar["intendedApplication"] = metadata["IntendedApplication"]
# ar["projectDescription"] = metadata["ProjectDescription"]
# ar["publication"] = ""
# ar["geographyDescription"] = ""
# ar["exchangeDqSystem"] = exchangeDqsystem()
# ar["dqSystem"] = processDqsystem()
# # Temp place holder for process DQ scores
# ar["dqEntry"] = "(5;5)"
# return ar
if __name__ == "__main__":
import electricitylci.coal_upstream as coal
import electricitylci.natural_gas_upstream as ng
import electricitylci.petroleum_upstream as petro
import electricitylci.nuclear_upstream as nuke
from combinator import concat_map_upstream_databases
year = 2016
coal_df = coal.generate_upstream_coal(year)
ng_df = ng.generate_upstream_ng(year)
petro_df = petro.generate_petroleum_upstream(year)
nuke_df = nuke.generate_upstream_nuc(year)
merged = concat_map_upstream_databases(coal_df, ng_df, petro_df, nuke_df)
merged.to_csv(f"{output_dir}/total_upstream_{year}.csv")
upstream_process_dict = olcaschema_genupstream_processes(merged)
upstream_olca_processes = write_process_dicts_to_jsonld(
upstream_process_dict)