Add wave with default minimum costs

.gitignore

@@ -36,4 +36,6 @@ gurobi.log
 *.pyc
 /cutouts
 /tmp
-/pypsa
+/pypsa
+
+*.xlsx

Snakefile

@@ -219,7 +219,7 @@ rule solve_network:
         memory="logs/" + config['run'] + "/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}_memory.log"
     benchmark: "benchmarks/solve_network/{network}_s{simpl}_{clusters}_lv{lv}_{opts}_{sector_opts}"
     threads: 4
-    resources: mem=50000 #memory in MB; 40 GB enough for 45+B+I; 100 GB based on RESI usage for 128
+    resources: mem=20000 #memory in MB; 40 GB enough for 45+B+I; 100 GB based on RESI usage for 128
     # group: "solve" # with group, threads is ignored https://bitbucket.org/snakemake/snakemake/issues/971/group-job-description-does-not-contain
     script: "scripts/solve_network.py"
 

config.yaml

@@ -2,7 +2,7 @@ logging_level: INFO
 
 results_dir: 'results/'
 summary_dir: results
-run: '191219-process'
+run: '200110-wave'
 
 scenario:
   sectors: [E] # ,E+EV,E+BEV,E+BEV+V2G] # [ E+EV, E+BEV, E+BEV+V2G ]
@@ -188,6 +188,7 @@ plotting:
     'offshore wind (AC)' : "c"
     'offwind-dc' : "#009999"
     'offshore wind (DC)' : "#009999"
+    'wave' : "#004444"
     "hydro" : "#3B5323"
     "hydro reservoir" : "#3B5323"
     "ror" : "#78AB46"

scripts/prepare_sector_network.py

@@ -492,6 +492,37 @@ def add_generation(network):
                      efficiency=costs.at[generator,'efficiency'],
                      efficiency2=costs.at[carrier,'CO2 intensity'])
 
+def add_wave(network):
+    wave_fn = "data/WindWaveWEC_GLTB.xlsx"
+
+    locations = ["FirthForth","Hebrides"]
+
+    #in kW
+    capacity = pd.Series([750,1000,600],["Attenuator","F2HB","MultiPA"])
+
+    #in EUR/MW
+    costs = pd.Series([2.5,2,1.5],["Attenuator","F2HB","MultiPA"])*1e6
+
+    sheets = {}
+
+    for l in locations:
+        sheets[l] = pd.read_excel(wave_fn,
+                                  index_col=0,skiprows=[0],parse_dates=True,
+                                  sheet_name=l)
+
+    to_drop = ["Vestas 3MW","Vestas 8MW"]
+    wave = pd.concat([sheets[l].drop(to_drop,axis=1).divide(capacity,axis=1) for l in locations],
+                     keys=locations,
+                     axis=1)
+
+    for wave_type in costs.index:
+        n.add("Generator",
+              "Hebrides "+wave_type,
+              bus="GB4 0",
+              p_nom_extendable=True,
+              carrier="wave",
+              capital_cost=(annuity(25,0.07)+0.03)*costs[wave_type],
+              p_max_pu=wave["Hebrides",wave_type])
 
 def add_storage(network):
     print("adding electricity storage")
@@ -1414,6 +1445,8 @@ if __name__ == "__main__":
 
     add_generation(n)
 
+    add_wave(n)
+
     add_storage(n)
 
     for o in opts: