Final_gas_pipelines

Snakefile

@@ -101,20 +101,33 @@ rule solve_all_networks:
 
 rule prepare_ports:
     output:
-        ports="data/ports.csv",
-        # TODO move from data to resources
+        ports="data/ports.csv",  # TODO move from data to resources
     script:
         "scripts/prepare_ports.py"
 
 
 rule prepare_airports:
     output:
-        ports="data/airports.csv",
-        # TODO move from data to resources
+        ports="data/airports.csv",  # TODO move from data to resources
     script:
         "scripts/prepare_airports.py"
 
 
+if not config["custom_data"]["gas_network"]:
+
+    rule prepare_gas_network:
+        input:
+            regions_onshore=pypsaearth(
+                "resources/bus_regions/regions_onshore_elec_s{simpl}_{clusters}.geojson"
+            ),
+        output:
+            clustered_gas_network="resources/gas_networks/gas_network_elec_s{simpl}_{clusters}.csv",
+            gas_network_fig_1="resources/gas_networks/existing_gas_pipelines_{simpl}_{clusters}.png",
+            gas_network_fig_2="resources/gas_networks/clustered_gas_pipelines_{simpl}_{clusters}.png",
+        script:
+            "scripts/prepare_gas_network.py"
+
+
 rule prepare_sector_network:
     input:
         network=RDIR
@@ -141,6 +154,9 @@ rule prepare_sector_network:
         shapes_path=pypsaearth(
             "resources/bus_regions/regions_onshore_elec_s{simpl}_{clusters}.geojson"
         ),
+        pipelines="resources/custom_data/pipelines.csv"
+        if config["custom_data"]["gas_network"]
+        else "resources/gas_networks/gas_network_elec_s{simpl}_{clusters}.csv",
     output:
         RDIR
         + "/prenetworks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{sopts}_{planning_horizons}_{discountrate}_{demand}.nc",
@@ -177,7 +193,6 @@ rule add_export:
     output:
         RDIR
         + "/prenetworks/elec_s{simpl}_{clusters}_ec_l{ll}_{opts}_{sopts}_{planning_horizons}_{discountrate}_{demand}_{h2export}export.nc",
-        # TODO output file name must be adjusted and integrated in workflow
     script:
         "scripts/add_export.py"
 
@@ -558,6 +573,8 @@ rule prepare_db:
 
 
 rule run_test:
+    params:
+        dummy="This is a dummy parameter to satisfy snakefmt",
     run:
         import yaml
 
@@ -575,6 +592,7 @@ rule run_test:
         shell("snakemake --cores all solve_all_networks --forceall")
 
 
+
 rule clean:
     run:
         shell("rm -r " + PYPSAEARTH_FOLDER + "/resources")

config.default.yaml

@@ -13,7 +13,7 @@ scenario:
   simpl: # only relevant for PyPSA-Eur
   - ""
   clusters: # number of nodes in Europe, any integer between 37 (1 node per country-zone) and several hundred
-  - 4
+  - 74
   planning_horizons: # investment years for myopic and perfect; or costs year for overnight
   - 2030
   ll:
@@ -23,7 +23,7 @@ scenario:
   sopts:
   - "144H"
   demand:
-  - "DF"
+  - "AB"
 
 policy_config:
   policy: "H2_export_yearly_constraint" #either "H2_export_yearly_constraint", "H2_export_monthly_constraint", "no_res_matching"
@@ -37,26 +37,22 @@ policy_config:
 clustering_options:
   alternative_clustering: true
 
-countries: ['MA']
+countries: ['NG', 'BJ']
 
 demand_data:
   update_data: true # if true, the workflow downloads the energy balances data saved in data/demand/unsd/data again. Turn on for the first run.
   base_year: 2019
 
   other_industries: false # Whether or not to include industries that are not specified. some countries have has exageratted numbers, check carefully.
 
-H2_network: false
-H2_network_limit: 2000 #GWkm
-H2_repurposed_network: false
+
 
 enable:
   retrieve_cost_data: true # if true, the workflow overwrites the cost data saved in data/costs again
 
 fossil_reserves:
   oil: 100 #TWh Maybe reduntant
 
-hydrogen_underground_storage: false
-
 
 export:
   h2export: [120] # Yearly export demand in TWh
@@ -79,10 +75,9 @@ custom_data:
   h2_underground: false
   add_existing: false
   custom_sectors: false
-  gas_grid: false
+  gas_network: false # If "True" then a custom .csv file must be placed in "resources/custom_data/pipelines.csv" , If "False" the user can choose btw "greenfield" or Model built-in datasets. Please refer to ["sector"] below.
 
-# Costs used in PyPSA-Earth-Sec. Year depends on the wildcard "planning_horizon" in the scenario section
-costs:
+costs: # Costs used in PyPSA-Earth-Sec. Year depends on the wildcard planning_horizon in the scenario section
   version: v0.6.2
   lifetime: 25 #default lifetime
   # From a Lion Hirth paper, also reflects average of Noothout et al 2016
@@ -163,8 +158,21 @@ solar_thermal:
     azimuth: 180.
 
 sector:
-  gas_network: true
-  oil_network: true
+  gas:
+    spatial_gas: true # ALWAYS TRUE
+    network: false # ALWAYS FALSE for now (NOT USED)
+    network_data: GGIT # Global dataset -> 'GGIT' , European dataset -> 'IGGIELGN'
+    network_data_GGIT_status: ['Construction', 'Operating', 'Idle', 'Shelved', 'Mothballed', 'Proposed']
+  hydrogen:
+    network: true
+    network_limit: 2000 #GWkm
+    network_routes: gas # "gas or "greenfield". If "gas"  ->  the network data are fetched from ["sector"]["gas"]["network_data"]. If "greenfield"  -> the network follows the topology of electrical transmission lines
+    gas_network_repurposing: true # If true -> ["sector"]["gas"]["network"] is automatically true
+    underground_storage: false
+
+  oil:
+    spatial_oil: true
+
   district_heating:
     potential: 0.3 #maximum fraction of urban demand which can be supplied by district heating
       #increase of today's district heating demand to potential maximum district heating share
@@ -224,6 +232,7 @@ sector:
   bev_availability: 0.5 #How many cars do smart charging
   transport_fuel_cell_efficiency: 0.5
   transport_internal_combustion_efficiency: 0.3
+  industry_util_factor: 0.7
 
   biomass_transport: true  # biomass transport between nodes
   solid_biomass_potential: 2 # TWh/a, Potential of whole modelled area
@@ -267,6 +276,7 @@ sector:
     AP_2030: 0.004
     NZ_2030: 0.02
     DF_2030: 0.01
+    AB_2030: 0.01
     BU_2050: 0.00
     AP_2050: 0.06
     NZ_2050: 0.28
@@ -277,6 +287,7 @@ sector:
     AP_2030: 0.075
     NZ_2030: 0.13
     DF_2030: 0.01
+    AB_2030: 0.01
     BU_2050: 0.00
     AP_2050: 0.42
     NZ_2050: 0.68
@@ -294,6 +305,7 @@ sector:
     AP_2030: 0.00
     NZ_2030: 0.10
     DF_2030: 0.05
+    AB_2030: 0.05
     BU_2050: 0.00
     AP_2050: 0.25
     NZ_2050: 0.36

scripts/helpers.py

@@ -696,6 +696,19 @@ def aggregate_fuels(sector):
     return gas_fuels, oil_fuels, biomass_fuels, coal_fuels, heat, electricity
 
 
+def progress_retrieve(url, file):
+    import urllib
+
+    from progressbar import ProgressBar
+
+    pbar = ProgressBar(0, 100)
+
+    def dlProgress(count, blockSize, totalSize):
+        pbar.update(int(count * blockSize * 100 / totalSize))
+
+    urllib.request.urlretrieve(url, file, reporthook=dlProgress)
+
+
 def get_last_commit_message(path):
     """
     Function to get the last PyPSA-Earth Git commit message