heavy_duty_transport¶
Main module for preparation of model data (static and timeseries) for heavy duty transport.
Contents of this module
- Creation of DB tables
- Download and preprocessing of vehicle registration data from BAST
- Calculation of hydrogen demand based on a Voronoi distribution of counted truck traffic among NUTS 3 regions.
- Writing results to DB
- Mapping demand to H2 buses and writing to DB
-
class
HeavyDutyTransport
(dependencies)[source]¶ Bases:
egon.data.datasets.Dataset
Class for preparation of static and timeseries data for heavy duty transport.
- Dependencies
- Resulting tables
demand.egon_heavy_duty_transport_voronoi
is created and filledgrid.egon_etrago_load
is extendedgrid.egon_etrago_load_timeseries
is extended
Configuration
The config of this dataset can be found in datasets.yml in section mobility_hgv.
Scenarios and variations
Assumptions can be changed within the datasets.yml.
In the context of the eGon project, it is assumed that e-trucks will be completely hydrogen-powered and in both scenarios the hydrogen consumption is assumed to be 6.68 kg H2 per 100 km with an additional supply chain leakage rate of 0.5 %.
### Scenario NEP C 2035
The ramp-up figures are taken from Scenario C 2035 Grid Development Plan 2021-2035. According to this, 100,000 e-trucks are expected in Germany in 2035, each covering an average of 100,000 km per year. In total this means 10 billion km.
### Scenario eGon100RE
In the case of the eGon100RE scenario it is assumed that the HGV traffic is completely hydrogen-powered. The total freight traffic with 40 Billion km is taken from the BMWK Langfristszenarien GHG-emission free scenarios (SNF > 12 t zGG).
Methodology
Using a Voronoi interpolation, the censuses of the BASt data is distributed according to the area fractions of the Voronoi fields within each mv grid or any other geometries like NUTS-3.
-
name
= 'HeavyDutyTransport'¶
-
version
= '0.0.2'¶
-
create_tables
()[source]¶ Drops existing
demand.egon_heavy_duty_transport_voronoi
is extended table and creates new one.