motorized_individual_travel_charging_infrastructure
Motorized Individual Travel (MIT) Charging Infrastructure
Main module for preparation of static model data for charging infrastructure for motorized individual travel.
- class MITChargingInfrastructure(dependencies)[source]
Bases:
Dataset- name: str = 'MITChargingInfrastructure'
- sources: DatasetSources = DatasetSources(tables={'mv_grid_districts': 'grid.egon_mv_grid_district', 'buildings': 'demand.egon_map_houseprofiles_buildings'}, files={'tracbev_parameters': {'tracbev_config': {'srid': 3035, 'files_to_use': ['hpc_positions.gpkg', 'landuse.gpkg', 'poi_cluster.gpkg', 'public_positions.gpkg']}, 'work_weight_retail': 0.8, 'work_weight_commercial': 1.25, 'work_weight_industrial': 1, 'single_family_home_share': 0.6, 'single_family_home_spots': 1.5, 'multi_family_home_share': 0.4, 'multi_family_home_spots': 10, 'random_seed': 5, 'cols_to_export': ['mv_grid_id', 'use_case', 'weight', 'geometry']}}, urls={'tracbev': 'https://zenodo.org/record/6466480/files/data.zip?download=1'})
The sources used by the datasets. Could be tables, files and urls
- targets: DatasetTargets = DatasetTargets(tables={'charging_infrastructure': 'grid.egon_emob_charging_infrastructure'}, files={'tracbev_download': 'charging_infrastructure/data.zip'})
Preparation of static model data for charging infrastructure for motorized individual travel.
The following is done:
Creation of DB tables
Download and preprocessing of vehicle registration data from zenodo
Determination of all potential charging locations for the four charging use cases home, work, public and hpc per MV grid district
Write results to DB
For more information see data documentation on Motorized individual travel.
- Dependencies
- Resulting tables
grid.egon_emob_charging_infrastructureis created and filled
Configuration
The config of this dataset can be found in datasets.yml in section charging_infrastructure.
Charging Infrastructure
The charging infrastructure allocation is based on TracBEV. TracBEV is a tool for the regional allocation of charging infrastructure. In practice this allows users to use results generated via SimBEV and place the corresponding charging points on a map. These are split into the four use cases home, work, public and hpc.
- version: str = '0.0.9'