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plot_summary.py
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plot_summary.py
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import pandas as pd
#allow plotting without Xwindows
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
colors={"wind" : "b",
"solar" : "y",
"nucl" : "r",
"wind-solar" : "g",
"wind+solar" : "g",
"CCGT" : "orange",
"OCGT" : "wheat",
"battery storage" : "gray",
"coal" : "k",
"lign" : "brown",
"transmission" : "gray",
"hydrogen storage" : "m",
"shed" : "pink"}
def choose_color(s):
if "system cost" in s:
return "k"
#force wind-solar first
for tech in ["wind-solar","wind+solar"] + list(colors.keys()):
if tech in s:
return colors[tech]
return "c"
def choose_style(s):
if "MV" in s:
return "-"
if "market price" in s:
return "-."
if "LCOE" in s:
return "--"
if "penetration" in s:
return "--"
elif "FiP" in s or "CO$_2$ price" in s:
return ":"
if "system cost" in s:
return ":"
else:
return "-"
ret_color = "crimson"
co2_color = "darkblue"
def plot_re_penetration(policy):
if "nuclNone" in policy:
suffix = ""
else:
suffix = "-load"
#suffix = "" #"" for gen-weighted, -load for load-weighted
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
for tech in ["solar","wind","wind-solar"]:
p = policy.format(tech.replace("-",""))
s = df.loc[p][tech+"-rmv"+suffix].copy()
s.index = s.index/20*float(pen)
s[ (s>1.3)] = np.nan
s.plot(ax=ax,label=tech.replace("-","+"),color=colors[tech],linewidth=2)
print(tech)
for x in [0,15,30]:
print(x,np.interp(x,s.index,s.values))
ax.legend()
ax.set_ylim([0,1.3])
ax.set_xlim([0,30])
ax.set_xlabel("penetration [%]")
ax.set_ylabel("relative market value [per unit]")
ax.grid()
fig.tight_layout()
fig.savefig("paper_graphics/{}/rmv-{}-{}{}.pdf".format(scenario,scenario,policy.format(""),suffix),transparent=True)
def ret_tech_fig(tech,policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
plot_df.index = plot_df.index/20*float(policy[3:6])
plot_df["dual"] *= -1
plot_df.rename(columns={tech + "-mc" : tech.replace("-","+") + " LCOE",
"mp" : "market price",
tech + "-mv" : tech.replace("-","+") + " MV",
"dual" : tech.replace("-","+") + " FiP"},inplace=True)
plot_df["system cost"] = plot_df[[c for c in plot_df.columns if "-cost" in c]].sum(axis=1)/plot_df["load"]
sel = [tech.replace("-","+")+" MV",tech.replace("-","+") +" LCOE",tech.replace("-","+") + " FiP","market price"]#,"system cost"]
plot_df[sel].plot(ax=ax,linewidth=2,color=choose_color(tech) if tech != "wind-solar" else ret_color,
style=[choose_style(s) for s in sel])
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax.legend(prop={'size': 9},ncol=2)
xlim = {"wind" : 65,
"solar" : 34,
"wind-solar" : 70,
"nucl" : 100}
ax.set_xlim([0,xlim[tech]])
ax.set_ylim([0,ylim_comparison])
ax.set_xlabel("{} penetration [%]".format(tech.replace("-","+")))
ax.set_ylabel("electricity price [€/MWh]")
#ax.grid()
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-{}-{}-{}.pdf".format(scenario,tech,scenario,policy),transparent=True)
def ret_tech_fig_zeroed(tech,policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
plot_df.index = plot_df.index/20*float(policy[3:6])
plot_df["dual"] *= -1
plot_df.rename(columns={tech + "-mc" : tech.replace("-","+") + " LCOE",
"mp-zeroed" : "market price",
tech + "-mv-zeroed" : tech.replace("-","+") + " MV",
"dual" : tech.replace("-","+") + " FiP"},inplace=True)
plot_df["system cost"] = plot_df[[c for c in plot_df.columns if "-cost" in c]].sum(axis=1)/plot_df["load"]
sel = [tech.replace("-","+")+" MV",tech.replace("-","+") +" LCOE",tech.replace("-","+") + " FiP","market price"]#,"system cost"]
plot_df[sel].plot(ax=ax,linewidth=2,color=choose_color(tech) if tech != "wind-solar" else ret_color,
style=[choose_style(s) for s in sel])
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax.legend(prop={'size': 9},ncol=2)
xlim = {"wind" : 65,
"solar" : 34,
"wind-solar" : 70,
"nucl" : 100}
ax.set_xlim([0,xlim[tech]])
ax.set_ylim([0,ylim_comparison])
ax.set_xlabel("{} penetration [%]".format(tech.replace("-","+")))
ax.set_ylabel("electricity price [€/MWh]")
#ax.grid()
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-zeroed-{}-{}-{}.pdf".format(scenario,tech,scenario,policy),transparent=True)
def ret_tech_fig_clean(tech,policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
plot_df.index = plot_df.index/20*float(policy[3:6])
plot_df["dual"] *= -1
plot_df.rename(columns={tech + "-mc" : tech.replace("-","+") + " LCOE",
"mp" : "market price",
tech + "-mv" : tech.replace("-","+") + " MV",
"dual" : tech.replace("-","+") + " FiP"},inplace=True)
plot_df["system cost"] = plot_df[[c for c in plot_df.columns if "-cost" in c]].sum(axis=1)/plot_df["load"]
sel = [tech.replace("-","+")+" MV",tech.replace("-","+") +" LCOE",tech.replace("-","+") + " FiP"]#,"system cost"]
plot_df[sel].plot(ax=ax,linewidth=2,color=choose_color(tech) if tech != "wind-solar" else ret_color,
style=[choose_style(s) for s in sel])
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax.legend(prop={'size': 9},ncol=1)
xlim = {"wind" : 65,
"solar" : 34,
"wind-solar" : 70,
"nucl" : 100}
ax.set_xlim([0,xlim[tech]])
ax.set_ylim([0,ylim_comparison])
ax.set_xlabel("{} penetration [%]".format(tech.replace("-","+")))
ax.set_ylabel("electricity price [€/MWh]")
#ax.grid()
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-{}-{}-{}-clean.pdf".format(scenario,tech,scenario,policy),transparent=True)
def pen_compare():
tech = "wind+solar"
#tech = "wind"
#tech = "solar"
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
for policy in ["pen{}{}-{}-nuclNone-lCCSNone".format(pen,tech.replace("+",""),assumptions),"pen100{}-{}-nuclNone-lCCSNone-trans-storage".format(tech.replace("+",""),assumptions)]:
plot_df = df.loc[policy].copy()
plot_df.index = plot_df.index/20*float(policy[3:6])
policy_text = "with flexibility" if "trans-storage" in policy else "without flexibility"
plot_df.rename(columns={"mp" : "market price "+policy_text,
tech.replace("+","-") + "-mv" : tech + " MV "+policy_text},inplace=True)
sel = [tech+" MV "+policy_text,"market price "+policy_text]
print(sel)
plot_df[sel].plot(ax=ax,linewidth=2,color=ret_color,
style=["-","-."],
alpha=1. if "trans-storage" in policy else 0.4)
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax.set_xlim([0,100])
ax.set_xlabel(tech + " penetration [%]")
ax.set_ylim([0,70])
ax.set_ylabel("energy price [€/MWh]")
ax.legend(loc="upper right",prop={'size': 9})
fig.tight_layout()
fig.savefig("paper_graphics/{}/pen-compare-{}.pdf".format(scenario,scenario),transparent=True)
def co2_as_em(policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
plot_df.index = (plot_df.index/20)*float(policy[3:6])/100.
plot_df["dual"] *= -1
plot_df["wind-penetration"] *= 100
plot_df["solar-penetration"] *= 100
plot_df.rename(columns={"wind-mc" : "wind LCOE [€/MWh]",
"mp" : "average market price [€/MWh]",
"wind-mv" : "wind MV = LCOE [€/MWh]",
"solar-mv" : "solar MV = LCOE [€/MWh]",
"wind-penetration" : "wind penetration [%]",
"solar-penetration" : "solar penetration [%]",
"co2_shadow" : "CO$_2$ price [€/tCO$_2$]"},inplace=True)
sel = ["average market price [€/MWh]","wind MV = LCOE [€/MWh]","solar MV = LCOE [€/MWh]","CO$_2$ price [€/tCO$_2$]",
"wind penetration [%]", "solar penetration [%]"
]
plot_df[sel].plot(ax=ax,linewidth=2,color=[choose_color(s) for s in sel],
style=[choose_style(s) for s in sel])
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
if "trans-storage" in policy:
xlim = 0.
else:
xlim = 0.2
ax.set_xlim([1.2,xlim])
ax.set_xlabel("average emissions [tCO2/MWhel]")
ax.set_ylim([0,200])
ax.set_ylabel("€/MWh, €/tCO$_2$ or %, see legend")
ax.legend(loc="upper left",prop={'size': 9})
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-co2-{}-{}.pdf".format(scenario,scenario,policy),transparent=True)
def co2_as_em_nuclear(policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
plot_df.index = (plot_df.index/20)*float(policy[3:6])/100.
plot_df["nucl-penetration"] *= 100
plot_df.rename(columns={"nucl-mc" : "nuclear LCOE [€/MWh]",
"mp" : "average market price [€/MWh]",
"nucl-mv" : "nuclear MV = LCOE [€/MWh]",
"nucl-penetration" : "nuclear penetration [%]",
"co2_shadow" : "CO$_2$ price [€/tCO$_2$]"},inplace=True)
sel = ["average market price [€/MWh]","nuclear MV = LCOE [€/MWh]",''
"CO$_2$ price [€/tCO$_2$]",
"nuclear penetration [%]",
]
plot_df[sel].plot(ax=ax,linewidth=2,color=[choose_color(s) for s in sel],
style=[choose_style(s) for s in sel])
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax.set_xlim([1.2,0.])
ax.set_xlabel("average emissions [tCO2/MWhel]")
ax.set_ylim([0,200])
ax.set_ylabel("€/MWh, €/tCO$_2$ or %, see legend")
ax.legend(loc="upper left",prop={'size': 9})
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-co2-{}-{}.pdf".format(scenario,scenario,policy),transparent=True)
def co2_as_pen(policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
plot_df.index = plot_df["wind-solar-penetration"].values*100.
plot_df.drop(plot_df.index[plot_df.index < 0.01],inplace=True)
plot_df["dual"] *= -1
plot_df["wind-penetration"] *= 100
plot_df["solar-penetration"] *= 100
plot_df.rename(columns={"wind-mc" : "wind LCOE [€/MWh]",
"mp" : "average market price [€/MWh]",
"wind-mv" : "wind MV = LCOE [€/MWh]",
"solar-mv" : "solar MV = LCOE [€/MWh]",
"wind-penetration" : "wind penetration [%]",
"solar-penetration" : "solar penetration [%]",
"co2_shadow" : "CO$_2$ price [€/tCO$_2$]"},inplace=True)
sel = ["average market price [€/MWh]","wind MV = LCOE [€/MWh]","solar MV = LCOE [€/MWh]","CO$_2$ price [€/tCO$_2$]",
"wind penetration [%]", "solar penetration [%]"
]
plot_df[sel].plot(ax=ax,linewidth=2,color=[choose_color(s) for s in sel],
style=[choose_style(s) for s in sel])
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
if "trans-storage" in policy:
xlim = plot_df["wind-solar-penetration"].max()*100
else:
xlim = 70.
ax.set_xlim([0,xlim])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylim([0,200])
ax.set_ylabel("€/MWh, €/tCO$_2$ or %, see legend")
ax.legend(loc="upper left",prop={'size': 9})
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-pen-{}-{}.pdf".format(scenario,scenario,policy),transparent=True)
def co2_as_pen_nuclear(policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
plot_df.index = plot_df["nucl-penetration"].values*100.
plot_df.drop(plot_df.index[plot_df.index < 0.01],inplace=True)
plot_df["nucl-penetration"] *= 100
plot_df.rename(columns={"mp" : "average market price [€/MWh]",
"nucl-mv" : "nuclear MV = LCOE [€/MWh]",
"nucl-penetration" : "nuclear penetration [%]",
"co2_shadow" : "CO$_2$ price [€/tCO$_2$]"},inplace=True)
sel = ["average market price [€/MWh]","nuclear MV = LCOE [€/MWh]","CO$_2$ price [€/tCO$_2$]",
"nuclear penetration [%]"
]
plot_df[sel].plot(ax=ax,linewidth=2,color=[choose_color(s) for s in sel],
style=[choose_style(s) for s in sel])
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax.set_xlim([0,100])
ax.set_xlabel("nuclear penetration [%]")
ax.set_ylim([0,200])
ax.set_ylabel("€/MWh, €/tCO$_2$ or %, see legend")
ax.legend(loc="upper left",prop={'size': 9})
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-pen-{}-{}.pdf".format(scenario,scenario,policy),transparent=True)
def cot_flex_compare():
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
for policy in ["co2120-{}-nuclNone-lCCSNone".format(assumptions),"co2120-trans-storage-{}-nuclNone-lCCSNone".format(assumptions)]:
plot_df = df.loc[policy].copy()
plot_df.index = plot_df["wind-solar-penetration"].values*100.
plot_df.drop(plot_df.index[plot_df.index < 0.01],inplace=True)
plot_df["dual"] *= -1
plot_df["wind-solar-penetration"] *= 100
policy_text = "with flexibility" if "trans-storage" in policy else "without flexibility"
plot_df.rename(columns={"mp" : "market price "+policy_text,
"wind-solar-mv" : "wind+solar MV "+policy_text},inplace=True)
sel = ["wind+solar MV "+policy_text,"market price "+policy_text]
plot_df[sel].plot(ax=ax,linewidth=2,color=co2_color,
style=["-","-."],
alpha=1. if "trans-storage" in policy else 0.4)
ax.set_xlim([0,100])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylim([0,140])
ax.set_ylabel("energy price [€/MWh]")
ax.legend(loc="lower right",prop={'size': 9})
#ax.grid()
fig.tight_layout()
fig.savefig("paper_graphics/{}/co2-compare-{}.pdf".format(scenario,scenario),transparent=True)
def cot_flex_compare_clean():
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
for policy in ["co2120-{}-nuclNone-lCCSNone".format(assumptions),"co2120-trans-storage-{}-nuclNone-lCCSNone".format(assumptions)]:
plot_df = df.loc[policy].copy()
plot_df.index = plot_df["wind-solar-penetration"].values*100.
plot_df.drop(plot_df.index[plot_df.index < 0.01],inplace=True)
plot_df["dual"] *= -1
plot_df["wind-solar-penetration"] *= 100
policy_text = "with flexibility" if "trans-storage" in policy else "without flexibility"
plot_df.rename(columns={"mp" : "market price "+policy_text,
"wind-solar-mv" : "wind+solar MV "+policy_text},inplace=True)
sel = ["wind+solar MV "+policy_text]
plot_df[sel].plot(ax=ax,linewidth=2,color=co2_color,
style=["-","-."],
alpha=1. if "trans-storage" in policy else 0.4)
ax.set_xlim([0,100])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylim([0,140])
ax.set_ylabel("energy price [€/MWh]")
ax.legend(loc="lower right",prop={'size': 9})
#ax.grid()
fig.tight_layout()
fig.savefig("paper_graphics/{}/co2-compare-{}-clean.pdf".format(scenario,scenario),transparent=True)
def cot_pen_mu(policy):
fig, ax = plt.subplots()
fig.set_size_inches((4.5,3))
plot_df = df.loc[policy].copy()
plot_df.index = plot_df["wind-solar-penetration"].values*100.
plot_df["dual"] *= -1
plot_df["wind-solar-penetration"] *= 100
plot_df.drop(plot_df.index[plot_df.index < 0.01],inplace=True)
policy_text = "with flexibility" if "trans-storage" in policy else "without flexibility"
plot_df.rename(columns={"mp" : "market price",
"wind-solar-mv" : "wind+solar MV = LCOE"},inplace=True)
sel = ["wind+solar MV = LCOE","market price"]
plot_df[sel].plot(ax=ax,linewidth=2,color=co2_color,
style=[choose_style(s) for s in sel],legend=False)
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax2 = ax.twinx()
plot_df["co2_shadow"].plot(ax=ax2,label="CO$_2$ price (right axis)",color=co2_color,style=":")
ax.set_xlim([0,70])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylim([0,ylim_comparison])
ax.set_ylabel("energy price [€/MWh]")
fig.legend(prop={'size': 9},
loc='upper left', bbox_to_anchor=(0.15, 0.93))#loc="upper left",
ax2.set_ylim([0,250])
ax2.set_ylabel("CO$_2$ price [€/tCO$_2$]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-pen-co2-{}-{}.pdf".format(scenario,scenario,policy),transparent=True)
def cot_pen_mu_clean(policy):
fig, ax = plt.subplots()
fig.set_size_inches((4.5,3))
plot_df = df.loc[policy].copy()
plot_df.index = plot_df["wind-solar-penetration"].values*100.
plot_df["dual"] *= -1
plot_df["wind-solar-penetration"] *= 100
plot_df.drop(plot_df.index[plot_df.index < 0.01],inplace=True)
policy_text = "with flexibility" if "trans-storage" in policy else "without flexibility"
plot_df.rename(columns={"mp" : "market price",
"wind-solar-mv" : "wind+solar MV = LCOE"},inplace=True)
sel = ["wind+solar MV = LCOE"]
plot_df[sel].plot(ax=ax,linewidth=2,color=co2_color,
style=[choose_style(s) for s in sel],legend=False)
#s[ (s>1.3)] = np.nan
#s.plot(ax=ax,label=tech,color=colors[tech])
ax2 = ax.twinx()
plot_df["co2_shadow"].plot(ax=ax2,label="CO$_2$ price (right axis)",color=co2_color,style=":")
ax.set_xlim([0,70])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylim([0,ylim_comparison])
ax.set_ylabel("electricity price [€/MWh]")
fig.legend(prop={'size': 9},
loc='upper left', bbox_to_anchor=(0.15, 0.93))#loc="upper left",
ax2.set_ylim([0,250])
ax2.set_ylabel("CO$_2$ price [€/tCO$_2$]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/mwh-pen-co2-{}-{}-clean.pdf".format(scenario,scenario,policy),transparent=True)
def sys_cost(policy):
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
sdf = plot_df[plot_df.columns[plot_df.columns.str.contains("-cost")]].rename(columns=(lambda col:col.replace("-cost","")))
sdf = sdf.divide(plot_df["load"],axis=0)
rename = pd.Series(sdf.columns,sdf.columns)
rename.loc[rename.index.str.contains("H2")] = "hydrogen storage"
rename.loc[rename.index.str.contains("battery")] = "battery storage"
rename.loc["lign"] = "lignite"
rename.loc["shed"] = "load-shedding"
rename.loc["AC"] = "transmission"
plot_df = sdf.groupby(rename,axis=1).sum()
plot_df.index = (plot_df.index/20)*float(policy[3:6])/100.
plot_df["CO$_2$ price"] = plot_df.index*df.loc[policy,"co2_shadow"].values
plot_df.drop(columns=plot_df.columns[(plot_df.abs() < 2.).all()],inplace=True)
preferred_order = pd.Index(["transmission","nucl","lignite","coal","CCGT","OCGT","wind","solar","battery storage","hydrogen storage","load-shedding"])
new_index = (preferred_order&plot_df.columns).append(plot_df.columns.difference(preferred_order))
plot_df[new_index].plot(kind="area",stacked=True,ax=ax,linewidth=0,
color=[choose_color(s) for s in new_index])
#s = df.loc[policy,"mp"]
#s.index = (s.index/20)*limit
#s.plot(ax=ax,color="k")
ax.set_xlim([1.2,0])
ax.set_ylim([0,160])
handles,labels = ax.get_legend_handles_labels()
handles.reverse()
labels.reverse()
ax.legend(handles,labels,loc="upper left",ncol=2,prop={'size': 8})
ax.set_xlabel("average emissions [tCO2/MWhel]")
ax.set_ylabel("average system cost [€/MWhel]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/sys_cost-{}-{}.pdf".format(scenario,scenario,policy),transparent=True)
def comparison():
tech = "wind-solar"
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
if True:
policy = "pen{}windsolar-{}-nuclNone-lCCSNone".format(pen,assumptions)
s = df.loc[policy][tech+"-mv"].copy()
s.index = float(policy[3:6])*s.index/20
s[ (s> 200)] = np.nan
s.plot(ax=ax,label="VRE support policy",color=ret_color,linewidth=2)
policy = "co2120-{}-nuclNone-lCCSNone".format(assumptions)
s = df.loc[policy][tech+"-mv"].copy()
s.index = df.loc[policy][tech+"-penetration"].values*100.
s.drop(s.index[s.index < 0.01],inplace=True)
s.plot(ax=ax,label="CO$_2$ policy",color=co2_color,linewidth=2)
ax.legend(loc="upper left")
ax.set_ylim([0,110])
ax.set_xlim([0,70])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylabel("market value [€/MWh]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/comparison-{}.pdf".format(scenario,scenario),transparent=True)
def nuclear_comparison():
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
tech = "nucl"
policy = f'pen100{tech}-wind100000-sola100000-nucl6000-lCCSNone'
s = df.loc[policy][tech+"-mv"].copy()
s.index = float(policy[3:6])*s.index/20
s[ (s> 200)] = np.nan
s.plot(ax=ax,label="nuclear support policy",color=ret_color,linewidth=2)
policy = f'pen100{tech}-trans-storage-wind100000-sola100000-nucl6000-lCCSNone'
s = df.loc[policy][tech+"-mv"].copy()
s.index = float(policy[3:6])*s.index/20
s[ (s> 200)] = np.nan
#s.plot(ax=ax,label="support policy with flexibility",color=ret_color,linewidth=2,alpha=0.4)
policy = 'co2120-wind100000-sola100000-nucl6000-lCCSNone'
s = df.loc[policy][tech+"-mv"].copy()
s.index = df.loc[policy][tech+"-penetration"].values*100.
s.drop(s.index[s.index < 0.01],inplace=True)
s.plot(ax=ax,label="CO$_2$ policy",color=co2_color,linewidth=2)
policy = 'co2120-trans-storage-wind100000-sola100000-nucl6000-lCCSNone'
s = df.loc[policy][tech+"-mv"].copy()
s.index = df.loc[policy][tech+"-penetration"].values*100.
s.drop(s.index[s.index < 0.01],inplace=True)
#s.plot(ax=ax,label="CO$_2$ policy with flexibility",color=co2_color,linewidth=2,alpha=0.4)
ax.legend(loc="upper left")
ax.set_ylim([0,140])
ax.set_xlim([0,100])
ax.set_xlabel("nuclear penetration [%]")
ax.set_ylabel("market value [€/MWh]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/nuclear-co2-support-comparison-{}.pdf".format(scenario,scenario),transparent=True)
def flex_comparison():
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
tech = "windsolar"
policy = f'pen075{tech}-wind1040-sola510-nuclNone-lCCSNone'
s = df.loc[policy]["wind-solar-mv"].copy()
s.index = float(policy[3:6])*s.index/20
s[ (s> 200)] = np.nan
s.plot(ax=ax,label="VRE support",color=ret_color,linewidth=2,alpha=0.4)
policy = f'pen100{tech}-wind1040-sola510-nuclNone-lCCSNone-trans-storage'
s = df.loc[policy]["wind-solar-mv"].copy()
s.index = float(policy[3:6])*s.index/20
s[ (s> 200)] = np.nan
s.plot(ax=ax,label="VRE support with flex",color=ret_color,linewidth=2)
policy = 'co2120-wind1040-sola510-nuclNone-lCCSNone'
s = df.loc[policy]["wind-solar-mv"].copy()
s.index = df.loc[policy]["wind-solar-penetration"].values*100.
s.drop(s.index[s.index < 0.01],inplace=True)
s.plot(ax=ax,label="CO$_2$ policy",color=co2_color,linewidth=2,alpha=0.4)
policy = 'co2120-trans-storage-wind1040-sola510-nuclNone-lCCSNone'
s = df.loc[policy]["wind-solar-mv"].copy()
s.index = df.loc[policy]["wind-solar-penetration"].values*100.
s.drop(s.index[s.index < 0.01],inplace=True)
s.plot(ax=ax,label="CO$_2$ policy with flex",color=co2_color,linewidth=2)
ax.legend(loc="upper left",prop={'size': 9})
ax.set_ylim([0,150])
ax.set_xlim([0,df.loc[policy]["wind-solar-penetration"].max()*100.])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylabel("market value [€/MWh]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/vre-co2-support-comparison-flexibility-{}.pdf".format(scenario,scenario),transparent=True)
def flex_comparison_rmv():
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
tech = "windsolar"
policy = f'pen075{tech}-wind1040-sola510-nuclNone-lCCSNone'
s = df.loc[policy]["wind-solar-rmv"].copy()
s.index = float(policy[3:6])*s.index/20
s[ (s> 200)] = np.nan
#remove singular items
s = s[:60]
s.plot(ax=ax,label="VRE support",color=ret_color,linewidth=2,alpha=0.4)
policy = f'pen100{tech}-wind1040-sola510-nuclNone-lCCSNone-trans-storage'
s = df.loc[policy]["wind-solar-rmv"].copy()
s.index = float(policy[3:6])*s.index/20
s[ (s> 200)] = np.nan
s.plot(ax=ax,label="VRE support with flex",color=ret_color,linewidth=2)
policy = 'co2120-wind1040-sola510-nuclNone-lCCSNone'
s = df.loc[policy]["wind-solar-rmv"].copy()
s.index = df.loc[policy]["wind-solar-penetration"].values*100.
s.drop(s.index[s.index < 0.01],inplace=True)
s.plot(ax=ax,label="CO$_2$ policy",color=co2_color,linewidth=2,alpha=0.4)
policy = 'co2120-trans-storage-wind1040-sola510-nuclNone-lCCSNone'
s = df.loc[policy]["wind-solar-rmv"].copy()
s.index = df.loc[policy]["wind-solar-penetration"].values*100.
s.drop(s.index[s.index < 0.01],inplace=True)
s.plot(ax=ax,label="CO$_2$ policy with flex",color=co2_color,linewidth=2)
ax.legend(loc="upper right",prop={'size': 9})
ax.set_ylim([0,1.5])
ax.set_xlim([0,df.loc[policy]["wind-solar-penetration"].max()*100.])
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylabel("relative market value [per unit]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/vre-co2-support-comparison-flexibility-rmv-{}.pdf".format(scenario,scenario),transparent=True)
def syscost_v_mv():
tech = "wind-solar"
policy = "pen{}windsolar-{}-nuclNone-lCCSNone".format(pen,assumptions)
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
costs = plot_df.columns[plot_df.columns.str.contains("-cost")]
s = plot_df[costs].sum(axis=1)
s = s.divide(plot_df["load"],axis=0)
s.index = (s.index/20)*float(policy[3:6])
s.plot(ax=ax,linewidth=2,color=ret_color,label="VRE support: system cost")
s = plot_df["mp"]
s.index = (s.index/20)*float(policy[3:6])
s.plot(ax=ax,linewidth=2,color=ret_color,label="VRE support: market price", dashes=(3,1,1,1))
policy = "co2120-{}-nuclNone-lCCSNone".format(assumptions)
plot_df = df.loc[policy].copy()
s = plot_df[costs].sum(axis=1)
s = s.divide(plot_df["load"],axis=0)
s.index = plot_df[tech+"-penetration"].values*100.
s.plot(ax=ax,label="CO$_2$: system cost",color=co2_color,linewidth=2)
s = plot_df["mp"]
s.index = plot_df[tech+"-penetration"].values*100.
s.plot(ax=ax,linewidth=2,color=co2_color,label="CO$_2$: market price", dashes=(3,1,1,1))
plot_df
#s = df.loc[policy,"mp"]
#s.index = (s.index/20)*limit
#s.plot(ax=ax,color="k")
ax.set_xlim([0,70])
ax.set_ylim([0,150])
ax.legend(loc="upper left",ncol=1,prop={'size': 8})
ax.set_xlabel("wind+solar penetration [%]")
ax.set_ylabel("electricity price [€/MWh]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/compare-sys_cost-{}.pdf".format(scenario,scenario),transparent=True)
def compare_with_co2():
tech = "wind-solar"
policy = "pen{}windsolar-{}-nuclNone-lCCSNone".format(pen,assumptions)
fig, ax = plt.subplots()
fig.set_size_inches((4,3))
plot_df = df.loc[policy].copy()
costs = plot_df.columns[plot_df.columns.str.contains("-cost")]
s = plot_df[costs].sum(axis=1)
s = s.divide(plot_df["load"],axis=0)
s.index = plot_df["emissions"]
s.plot(ax=ax,linewidth=2,color=ret_color,label="VRE support policy")
xmax = s.index.max()
xmin = s.index.min()
#s = plot_df["mp"]
#s.index = (s.index/20)*float(policy[3:6])
#s.plot(ax=ax,linewidth=2,color=ret_color,label="VRE market price",style="-.")
policy = "co2120-{}-nuclNone-lCCSNone".format(assumptions)
plot_df = df.loc[policy].copy()
s = plot_df[costs].sum(axis=1)
s = s.divide(plot_df["load"],axis=0)
s.index = plot_df["emissions"]
s.plot(ax=ax,label="CO$_2$ policy",color=co2_color,linewidth=2)
ax.set_xlim([xmax,xmin])
ax.legend(loc="upper left",ncol=1,prop={'size': 9})
ax.set_ylim([0,100])
ax.set_xlabel("average emissions [tCO2/MWhel]")
ax.set_ylabel("average system cost [€/MWh]")
fig.tight_layout()
fig.savefig("paper_graphics/{}/compare-sys_cost-co2-{}.pdf".format(scenario,scenario),transparent=True)
if __name__ == "__main__":
# Detect running outside of snakemake and mock snakemake for testing
if 'snakemake' in globals():
fn = snakemake.input["summary"]
config = snakemake.config
else:
from pypsa.descriptors import Dict
config = Dict()
config["run"] = "201120-final"
config["results_dir"] = "results"
fn = "{}/{}/csvs/summary.csv".format(config["results_dir"],config["run"])
scenario = config["run"]
df = pd.read_csv(fn,index_col=[0,1])
assumptions = "wind1040-sola510"
pen = "075"
ylim_comparison = 140.
for policy in ["pen{}{}-{}-nuclNone-lCCSNone".format(pen,"{}",assumptions),"pen{}{}-co2price20".format(pen,"{}"),"availpen{}{}-co2price20".format(pen,"{}")]:
plot_re_penetration(policy)
for tech in ["wind","solar","wind-solar"]:
for policy in ["pen{}{}-{}-nuclNone-lCCSNone".format(pen,tech.replace("-",""),assumptions),"pen100{}-{}-nuclNone-lCCSNone-trans-storage".format(tech.replace("-",""),assumptions)]:
if tech == "wind-solar" and "battery" in policy:
continue
ret_tech_fig(tech,policy)
ret_tech_fig_zeroed(tech,policy)
ret_tech_fig_clean(tech,policy)
tech = "nucl"
for policy in ["pen100{}-{}-nucl6000-lCCSNone".format(tech,assumptions)]:
ret_tech_fig(tech,policy)
ret_tech_fig_zeroed(tech,policy)