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non-road.toml
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170 lines (143 loc) · 4.52 KB
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historical_dataframe_name = 'Reference Historical demand (PJ)'
demand_dataframe_name = 'Future Yearly demand (PJ)'
source_folder = 'non-road'
output_folder = 'non-road-output'
demand_index = ['Country Code', 'Mode', 'Energy carrier']
demand_header = ['Demand_PJ']
reference_historical_year = 2018
growth_factors_file = 'growth_factors.csv'
growth_factors_index = ['Country Code', 'Mode', 'Energy carrier']
[modes]
[modes.domestic-aviation]
code = 'FC_TRA_DAVI_E'
energy_carriers = [
'Kerosene-type jet fuel (excluding biofuel portion)',
'Blended bio jet kerosene',
'Aviation gasoline',
]
modified_instances = [2, 4, 12, 26, 47, 48, 49, 50]
modification_factors = [0.89, 0.89, 0.26, 0.26, 0.26, 0.42, 0.77, 0.89]
recurring_modifications_starts = [2]
recurring_modifications = [0.5]
recurrences_steps = [2]
amounts_of_recurrences = [0] # If set to zero, repeats for whole run
[modes.international-aviation]
code = 'INTAVI'
energy_carriers = [
'Kerosene-type jet fuel (excluding biofuel portion)',
'Blended bio jet kerosene',
'Aviation gasoline',
]
modified_instances = [2, 4, 12, 26, 47, 48, 49, 50]
modification_factors = [0.89, 0.89, 0.26, 0.26, 0.26, 0.42, 0.77, 0.89]
recurring_modifications_starts = [2]
recurring_modifications = [0.5]
recurrences_steps = [2]
amounts_of_recurrences = [0] # If set to zero, repeats for whole run
[modes.international-maritime-bunkers]
code = 'INTMARB'
energy_carriers = [
'Natural gas',
'Motor gasoline (excluding biofuel portion)',
'Kerosene-type jet fuel (excluding biofuel portion)',
'Gas oil and diesel oil (excluding biofuel portion)',
'Fuel oil',
'Lubricants',
'Other oil products n.e.c.',
'Blended biodiesels',
'Pure biodiesels',
'Other liquid biofuels'
]
modified_instances = [2, 4, 12, 26, 47, 48, 49, 50]
modification_factors = [0.89, 0.89, 0.26, 0.26, 0.26, 0.42, 0.77, 0.89]
recurring_modifications_starts = [2]
recurring_modifications = [0.5]
recurrences_steps = [2]
amounts_of_recurrences = [0] # If set to zero, repeats for whole run
[modes.domestic-navigation]
code = 'FC_TRA_DNAVI_E'
energy_carriers = [
'Natural gas',
'Motor gasoline (excluding biofuel portion)',
'Kerosene-type jet fuel (excluding biofuel portion)',
'Gas oil and diesel oil (excluding biofuel portion)',
'Fuel oil',
'Lubricants',
'Other oil products n.e.c.',
'Blended biodiesels',
'Pure biodiesels',
'Other liquid biofuels'
]
modified_instances = [2, 4, 12, 26, 47, 48, 49, 50]
modification_factors = [0.89, 0.89, 0.26, 0.26, 0.26, 0.42, 0.77, 0.89]
recurring_modifications_starts = [2]
recurring_modifications = [0.5]
recurrences_steps = [2]
amounts_of_recurrences = [0] # If set to zero, repeats for whole run
[modes.rail]
code = 'FC_TRA_RAIL_E'
energy_carriers = [
'Solid fossil fuels',
'Other bituminous coal',
'Liquefied petroleum gases',
'Gas oil and diesel oil (excluding biofuel portion)',
'Primary solid biofuels',
'Pure biodiesels',
'Blended biodiesels',
'Electricity'
]
modified_instances = [2, 4, 12, 26, 47, 48, 49, 50]
modification_factors = [0.89, 0.89, 0.26, 0.26, 0.26, 0.42, 0.77, 0.89]
recurring_modifications_starts = [2]
recurring_modifications = [0.5]
recurrences_steps = [2]
amounts_of_recurrences = [0] # If set to zero, repeats for whole run
[progress_bars]
display_scenario_run = true
scenario_run_description = 'Scenarios started'
display_saving_profiles= true
saving_run_description = 'Saving profiles'
[parallel_processing]
set_amount_of_processes = true
amount_of_processes = 4
use_for_saving = false
[files]
# Indicate below if you want to save your Pandas DataFrames in the
# listed formats (put a true if you want to do so, false if you don't)
[files.dataframe_outputs]
csv = true
json = false
html = false
latex = false
xml = false
clipboard = false # This saves the file to the local clipboard
excel = false
hdf = false
feather = false
parquet = false
stata = false
pickle = true
sql = true
[Eurostat]
fetch = false
table_code = 'nrg_bal_c'
table_name = 'Eurostat complete energy balances'
index_headers = ['nrg_bal', 'siec', 'unit', 'geo\TIME_PERIOD']
unit_to_use = 'TJ'
[Energy_carriers]
code_file = 'input/siec.csv'
code_column ='Notation'
name_column = 'Label'
status_column = 'Status'
[run_range]
frequency = 'W-MON'
[run_range.start]
year = 2018
month = 1
day = 1
hour = 0
[run_range.end]
year = 2019
month = 1
day = 1
hour = 0