@@ -50,72 +50,72 @@ def data_processing():
5050 # 'ego_dp_preprocessing_res_powerplant.sql', # Setup renewable power plant list
5151
5252 ## SUBSTATION
53- # 'ego_dp_substation_hvmv.sql', # Abstract HVMV Substations of the high voltage level from OSM
54- # 'ego_dp_substation_ehv.sql', # Abstract EHV Substations of the extra high voltage level from OSM
55- # 'ego_dp_substation_otg.sql', # Assign osmTGmod-id to HVMV and EHV substations
56- # 'ego_dp_substation_hvmv_voronoi.sql', # HVMV Voronoi cells based on HVMV substations
57- # 'ego_dp_substation_ehv_voronoi.sql', # EHV Voronoi cells based on EHV substations
53+ # 'ego_dp_substation_hvmv.sql', # Abstract HVMV Substations of the high voltage level from OSM
54+ # 'ego_dp_substation_ehv.sql', # Abstract EHV Substations of the extra high voltage level from OSM
55+ # 'ego_dp_substation_otg.sql', # Assign osmTGmod-id to HVMV and EHV substations
56+ # 'ego_dp_substation_hvmv_voronoi.sql', # HVMV Voronoi cells based on HVMV substations
57+ # 'ego_dp_substation_ehv_voronoi.sql', # EHV Voronoi cells based on EHV substations
5858
5959 ## GRIDDISTRICT
60- # 'ego_dp_mv_griddistrict.sql', # MV Griddistricts from municipalities and Voronoi cells
60+ # 'ego_dp_mv_griddistrict.sql', # MV Griddistricts from municipalities and Voronoi cells
6161
6262 ## LOADAREA
63- # 'ego_dp_loadarea_landuse.sql', # OSM landuse sector
64- # 'ego_dp_loadarea_industry_consumer.sql', # Industry consumer
65- # 'ego_dp_loadarea_loads.sql', # Loads from OSM landuse
66- # 'ego_dp_loadarea_census.sql', # Loads from Census
67- # 'ego_dp_loadarea_loadmelt.sql', # Melt OSM landuse and Zensus loads
68- # 'ego_dp_loadarea_loadcut_griddistrict.sql', # Cut Loadarea with MV Griddistrict
69- # 'ego_dp_loadarea_loadcut_voronoi.sql', # Cut Loadarea with MV Voronoi cells
70- # 'ego_dp_loadarea_consumption.sql', # Allocate consumption to Loadareas
71- # 'ego_dp_loadarea_peakload.py', # Peak loads per Loadarea (duration 10h!)
72- # 'ego_dp_loadarea_peakload.sql', # Peak loads per Loadarea (SQL update)
73- # 'ego_dp_loadarea_griddistrict_results.sql', # Results for MV Griddistrict
74- # 'ego_dp_loadarea_statistic.sql', # Results and statistics for eGoDP
63+ # 'ego_dp_loadarea_landuse.sql', # OSM landuse sector
64+ # 'ego_dp_loadarea_industry_consumer.sql', # Industry consumer
65+ # 'ego_dp_loadarea_loads.sql', # Loads from OSM landuse
66+ # 'ego_dp_loadarea_census.sql', # Loads from Census
67+ # 'ego_dp_loadarea_loadmelt.sql', # Melt OSM landuse and Zensus loads
68+ # 'ego_dp_loadarea_loadcut_griddistrict.sql', # Cut Loadarea with MV Griddistrict
69+ # 'ego_dp_loadarea_loadcut_voronoi.sql', # Cut Loadarea with MV Voronoi cells
70+ # 'ego_dp_loadarea_consumption.sql', # Allocate consumption to Loadareas
71+ # 'ego_dp_loadarea_peakload.py', # Peak loads per Loadarea (duration 10h!)
72+ # 'ego_dp_loadarea_peakload.sql', # Peak loads per Loadarea (SQL update)
73+ # 'ego_dp_loadarea_griddistrict_results.sql', # Results for MV Griddistrict
74+ # 'ego_dp_loadarea_statistic.sql', # Results and statistics for eGoDP
7575
7676 ## LOWVOLTAGE
77- # 'ego_dp_lv_substation.sql', # MVLV Substation inside Loadarea
78- # 'ego_dp_lv_substation_voronoi.sql', # MVLV Substation Voronoi
79- # 'ego_dp_lv_griddistrict.sql', # LV Griddistrict
80- # 'ego_dp_lv_peakload.sql', # LV OSM areas
81- # 'ego_dp_lv_consumption_peakload.sql', # LV Consumption and Peakload
82-
83- ## REA
84- # 'rea/ego_dp_lattice_500m.sql', # lattice (point grid) 500m
85- # 'rea/ego_dp_lattice_50m.sql', # lattice (point grid) 50m
86- # 'rea/ego_dp_rea_wpa_per_mvgd.sql', # wind potential area
87-
88- # 'rea/ego_dp_rea_lattice_per_area_500m.sql', # prepare 500m lattice
89- # 'rea/ego_dp_rea_lattice_per_area_50m.sql', # prepare 50m lattice
90-
91- # 'rea/ego_dp_rea_setup.sql', # setup table for allocation
92- # 'rea/ego_dp_rea_m1.sql', # M1 biomass and solar to farmyard
93- # 'rea/ego_dp_rea_m2.sql', # M2 windfarms
77+ # 'ego_dp_lv_substation.sql', # MVLV Substation inside Loadarea
78+ # 'ego_dp_lv_substation_voronoi.sql', # MVLV Substation Voronoi
79+ # 'ego_dp_lv_griddistrict.sql', # LV Griddistrict
80+ # 'ego_dp_lv_peakload.sql', # LV OSM areas
81+ # 'ego_dp_lv_consumption_peakload.sql', # LV Consumption and Peakload
82+ #
83+ # ## REA
84+ # 'rea/ego_dp_lattice_500m.sql', # lattice (point grid) 500m
85+ # 'rea/ego_dp_lattice_50m.sql', # lattice (point grid) 50m
86+ # 'rea/ego_dp_rea_wpa_per_mvgd.sql', # wind potential area
87+ #
88+ ## 'rea/ego_dp_rea_lattice_per_area_500m.sql', # prepare 500m lattice
89+ # 'rea/ego_dp_rea_lattice_per_area_50m.sql', # prepare 50m lattice
90+ #
91+ # 'rea/ego_dp_rea_setup.sql', # setup table for allocation
92+ # 'rea/ego_dp_rea_m1.sql', # M1 biomass and solar to farmyard
93+ # 'rea/ego_dp_rea_m2.sql', # M2 windfarms
9494 # 'rea/ego_dp_rea_m3.sql', # M3 wind turbines to wpa
95- # 'rea/ego_dp_rea_m4.sql', # M4 other and rest
96- # 'rea/ego_dp_rea_m5.sql', # M5 LV to LA
97- # 'rea /ego_dp_rea_results.sql', # results and statistics
95+ # 'rea/ego_dp_rea_m4.sql', # M4 other and rest
96+ # 'rea/ego_dp_rea_m5.sql', # M5 LV to LA
97+ # 'r#ea /ego_dp_rea_results.sql', # results and statistics
9898
9999 ## POWERFLOW
100100# 'ego_dp_powerflow_voronoi_weatherpoint.sql', # Create voronoi cells based on weather points
101101# 'ego_dp_powerflow_hv_setup.sql', # Set schema/tables for EHV/HV powerflow calculations up
102102# 'ego_dp_powerflow_osmtgmod_to_pypsa.sql', # Include data from osmTGmod into EHV/HV powerflow schema
103103# 'ego_dp_powerflow_electrical_neighbour.sql', # Create border crossing lines and buses in neighbouring countries
104- #
105- # 'ego_dp_powerflow_assignment_generator.sql', # Assign generators to corresponding substation
104+ ##
105+ # 'ego_dp_powerflow_assignment_generator.sql', # Assign generators to corresponding substation
106106# 'ego_dp_powerflow_assignment_load.sql', # Assign loads to their corresponding substation
107107# 'ego_dp_powerflow_grid_NEP2035.sql', # Copy grid to scenario NEP 2035
108108# 'ego_dp_powerflow_assignment_generator_nep2035.sql', # Assign generators from NEP 2035 to corresponding substation
109109# 'ego_dp_powerflow_assignment_load_nep2035.sql', # Copy loads from SQ scenario
110110# 'ego_dp_powerflow_timeseries_generator.sql', # Transfer renpassG!S results into the corresponding powerflow table
111- 'ego_dp_powerflow_griddistrict_demand.py' , # Demand per MV Griddistrict
112- 'ego_dp_powerflow_timeseries_demand.sql' , # Insert demand series into corresponding powerflow table
113- 'ego_dp_powerflow_lopf_data.sql' , # Set marginal costs for generators and storages
114- 'ego_dp_powerflow_load_timeseries_NEP2035.sql' , # Copy demand timeseries to NEP 2035 scenario
115-
116-
111+ # 'ego_dp_powerflow_griddistrict_demand.py', # Demand per MV Griddistrict
112+ # 'ego_dp_powerflow_timeseries_demand.sql', # Insert demand series into corresponding powerflow table
113+ # 'ego_dp_powerflow_lopf_data.sql', # Set marginal costs for generators and storages
114+ # 'ego_dp_powerflow_load_timeseries_NEP2035.sql', # Copy demand timeseries to NEP 2035 scenario
115+ #
116+ #
117117 ## VERSIONING
118- # 'ego_dp_versioning.sql' # Versioning
118+ 'ego_dp_versioning.sql' # Versioning
119119
120120 ]
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