industrial_sites¶

The central module containing all code dealing with the spatial distribution of industrial electricity demands. Industrial demands from DemandRegio are distributed from nuts3 level down to osm landuse polygons and/or industrial sites also identified within this processing step bringing three different inputs together.

class HotmapsIndustrialSites(**kwargs)[source]¶

Bases: sqlalchemy.ext.declarative.api.Base

address¶

city¶

citycode¶

companyname¶

country¶

datasource¶

emissions_eprtr_2014¶

emissions_ets_2014¶

excess_heat_100_200C¶

excess_heat_200_500C¶

excess_heat_500C¶

excess_heat_total¶

fuel_demand¶

geom¶

location¶

production¶

siteid¶

sitename¶

subsector¶

wz¶

class IndustrialSites(**kwargs)[source]¶

Bases: sqlalchemy.ext.declarative.api.Base

address¶

companyname¶

geom¶

id¶

nuts3¶

subsector¶

wz¶

class MergeIndustrialSites(dependencies)[source]¶: Bases: egon.data.datasets.Dataset

class SchmidtIndustrialSites(**kwargs)[source]¶

Bases: sqlalchemy.ext.declarative.api.Base

annual_tonnes¶

application¶

capacity_production¶

geom¶

id¶

landkreis_number¶

lat¶

lon¶

plant¶

wz¶

class SeenergiesIndustrialSites(**kwargs)[source]¶

Bases: sqlalchemy.ext.declarative.api.Base

address¶

companyname¶

country¶

electricitydemand_tj¶

eu28¶

excess_heat¶

fueldemand_tj¶

geom¶

globalid¶

lat¶

level_1_pj¶

level_1_r_pj¶

level_1_r_tj¶

level_1_tj¶

level_2_pj¶

level_2_r_pj¶

level_2_r_tj¶

level_2_tj¶

level_3_pj¶

level_3_r_pj¶

level_3_r_tj¶

level_3_tj¶

lon¶

nuts1¶

nuts3¶

objectid¶

siteid¶

subsector¶

wz¶

create_tables()[source]¶: Create tables for industrial sites and distributed industrial demands :returns: None.

download_hotmaps()[source]¶: Download csv file on hotmap’s industrial sites.

download_import_industrial_sites()[source]¶

Wraps different functions to create tables, download csv files containing information on industrial sites in Germany and write this data to the local postgresql database

Returns:	None.

download_seenergies()[source]¶: Download csv file on s-eenergies’ industrial sites.

hotmaps_to_postgres()[source]¶: Import hotmaps data to postgres database

map_nuts3()[source]¶

Match resulting industrial sites with nuts3 codes and fill column ‘nuts3’

Returns:	None.

merge_inputs()[source]¶: Merge and clean data from different sources (hotmaps, seenergies, Thesis Schmidt)

schmidt_to_postgres()[source]¶: Import data from Thesis by Danielle Schmidt to postgres database

seenergies_to_postgres()[source]¶: Import seenergies data to postgres database