Extend SSP 2020 activity calibration procedure

Adjust bounds, constraints and historic activity manually to resolve
infeasibilities

Author: macflo8

message_ix_models/model/material/data_util.py

@@ -1720,11 +1720,55 @@ def calibrate_for_SSPs(scenario: "Scenario") -> None:
     df = scenario.par(
         "growth_activity_up", filters={"node_loc": "R12_RCPA", "year_act": 2020}
     )
-    df = df[df["technology"].str.endswith("_i")]
+    df = df[
+        (df["technology"].str.endswith("_i")) | (df["technology"].str.endswith("_I"))
+    ]
     df["value"] = 5
     scenario.add_par("growth_activity_up", df)
     scenario.commit("remove growth constraints in RCPA industry")
 
+    # remove sp_eth_I historical activity, which is most likely from old scenario runs
+    df = scenario.par("historical_activity", filters={"technology": "sp_eth_I"})
+    scenario.check_out()
+    scenario.remove_par("historical_activity", df)
+    scenario.commit("remove sp_eth_I hist act from 2015")
+
+    # correct wrong Viet Nam IEA numbers
+    df = scenario.par(
+        "historical_activity",
+        filters={"node_loc": "R12_RCPA", "technology": "sp_el_I", "year_act": 2015},
+    )
+    df["value"] = 7
+    scenario.check_out()
+    scenario.add_par("historical_activity", df)
+    scenario.commit("increase wrong RCPA hist act in 2015")
+
+    df = scenario.par(
+        "initial_activity_up",
+        filters={
+            "node_loc": "R12_RCPA",
+            "year_act": 2020,
+            "technology": "loil_i",
+        },
+    )
+    df["value"] = 0.058
+    scenario.check_out()
+    scenario.add_par("initial_activity_up", df)
+    scenario.commit("add loil_i ini act for RCPA 2020")
+
+    df = scenario.par(
+        "growth_activity_lo",
+        filters={
+            "node_loc": "R12_FSU",
+            "year_act": 2020,
+            "technology": "loil_i",
+        },
+    )
+    df["value"] = -5
+    scenario.check_out()
+    scenario.add_par("growth_activity_lo", df)
+    scenario.commit("fix loil_i gro lo for FSU 2020")
+
     for bound in ["up", "lo"]:
         par = f"bound_activity_{bound}"
         df = scenario.par(par, filters={"year_act": 2020})