Fix industrial demand for ammonia when endogenously modelled (#1312)

* Fix industrial demand for ammonia when endogenously modelled

In calculating industrial energy demand today, demand for ammonia must
be resolved into just "ammonia" when endogenously modelled, or into
electricity and hydrogen if not.

* Add release note

doc/release_notes.rst

@@ -75,6 +75,8 @@ Upcoming Release
 
 * Resolved a problem where excluding certain countries from `countries` configuration led to clustering errors.
 
+* Bugfix: demand for ammonia was double-counted at current/near-term planning horizons when ``sector['ammonia']`` was set to ``True``.
+
 PyPSA-Eur 0.13.0 (13th September 2024)
 ======================================
 

rules/build_sector.smk

@@ -716,6 +716,7 @@ rule build_industrial_energy_demand_per_country_today:
     params:
         countries=config_provider("countries"),
         industry=config_provider("industry"),
+        ammonia=config_provider("sector", "ammonia", default=False),
     input:
         transformation_output_coke=resources("transformation_output_coke.csv"),
         jrc="data/jrc-idees-2021",

scripts/build_industrial_energy_demand_per_country_today.py

@@ -133,6 +133,9 @@ def get_subsector_data(sheet):
 
         df["hydrogen"] = 0.0
 
+        if snakemake.params.ammonia:
+            df["ammonia"] = 0.0
+
         df["other"] = df["all"] - df.loc[df.index != "all"].sum()
 
         return df
@@ -153,14 +156,6 @@ def get_subsector_data(sheet):
 
 
 def separate_basic_chemicals(demand, production):
-
-    ammonia = pd.DataFrame(
-        {
-            "hydrogen": production["Ammonia"] * params["MWh_H2_per_tNH3_electrolysis"],
-            "electricity": production["Ammonia"]
-            * params["MWh_elec_per_tNH3_electrolysis"],
-        }
-    ).T
     chlorine = pd.DataFrame(
         {
             "hydrogen": production["Chlorine"] * params["MWh_H2_per_tCl"],
@@ -174,16 +169,29 @@ def separate_basic_chemicals(demand, production):
         }
     ).T
 
-    demand["Ammonia"] = ammonia.unstack().reindex(index=demand.index, fill_value=0.0)
     demand["Chlorine"] = chlorine.unstack().reindex(index=demand.index, fill_value=0.0)
     demand["Methanol"] = methanol.unstack().reindex(index=demand.index, fill_value=0.0)
 
-    demand["HVC"] = (
-        demand["Basic chemicals"]
-        - demand["Ammonia"]
-        - demand["Methanol"]
-        - demand["Chlorine"]
-    )
+    demand["HVC"] = demand["Basic chemicals"] - demand["Methanol"] - demand["Chlorine"]
+
+    # Deal with ammonia separately, depending on whether it is modelled endogenously.
+    ammonia_exo = pd.DataFrame(
+        {
+            "hydrogen": production["Ammonia"] * params["MWh_H2_per_tNH3_electrolysis"],
+            "electricity": production["Ammonia"]
+            * params["MWh_elec_per_tNH3_electrolysis"],
+        }
+    ).T
+
+    if snakemake.params.ammonia:
+        ammonia = pd.DataFrame(
+            {"ammonia": production["Ammonia"] * params["MWh_NH3_per_tNH3"]}
+        ).T
+    else:
+        ammonia = ammonia_exo
+
+    demand["Ammonia"] = ammonia.unstack().reindex(index=demand.index, fill_value=0.0)
+    demand["HVC"] -= ammonia_exo.unstack().reindex(index=demand.index, fill_value=0.0)
 
     demand.drop(columns="Basic chemicals", inplace=True)