diff --git a/etl/customers/peabody/Nov 2025 Consulting Project/n_fixing_already_installed_bug.py b/etl/customers/peabody/Nov 2025 Consulting Project/n_fixing_already_installed_bug.py
index e69de29b..5a3aad3f 100644
--- a/etl/customers/peabody/Nov 2025 Consulting Project/n_fixing_already_installed_bug.py	
+++ b/etl/customers/peabody/Nov 2025 Consulting Project/n_fixing_already_installed_bug.py	
@@ -0,0 +1,81 @@
+# 1) Need to get all already installed measures
+# 2) get the unique uprns for these properties
+# 3) Create a re-fresh SAL for these properties
+# 4) re-trigger EPC C w/o EWI/IWI + the EPC B scenario
+
+from backend.app.db.models.recommendations import InstalledMeasure
+from backend.app.db.connection import db_session
+from etl.customers.cambridge.surveys import current_epc
+
+# Get all installed measures from the installedMeasure table
+with db_session() as session:
+    # We need installed measures, where the measure type is ewi or iwi
+    installed_measures = session.query(InstalledMeasure).filter(
+        InstalledMeasure.measure_type.in_(["external_wall_insulation", "internal_wall_insulation"])
+    ).all()
+    # Get the uprns
+    installed_uprns = [x.uprn for x in installed_measures]
+
+installed_uprns = list(set(installed_uprns))
+
+# This is 21425 properties.
+# We then create a portfolio of properties we need to re-run
+import pandas as pd
+
+sal = pd.read_excel(
+    "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Peabody/Nov 2025 Consulting Project/Final SAL/20260113 - "
+    "final asset list.xlsx",
+    sheet_name="Standardised Asset List"
+)
+
+needing_retry = sal[sal["epc_os_uprn"].isin(installed_uprns)]
+
+# Store
+needing_retry.to_excel(
+    "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Peabody/Nov 2025 Consulting Project/Final "
+    "SAL/properties_needing_retry_20260115.xlsx",
+    sheet_name="Standardised Asset List",
+    index=False
+)
+
+#### Testing
+with_ewi = pd.read_excel(
+    "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Peabody/Nov 2025 Consulting Project/Final SAL/EPC C - no "
+    "solid floor, ashp 3.0 - 20250113 final.xlsx"
+)
+without_ewi = pd.read_excel(
+    "/Users/khalimconn-kowlessar/Documents/hestia/Customers/Peabody/Nov 2025 Consulting Project/Final SAL/EPC C - no "
+    "solid floor, no EWI or IWI, ashp 3.0 - 20250113 final.xlsx"
+)
+
+comparison = with_ewi.merge(
+    without_ewi,
+    left_on="uprn",
+    right_on="uprn",
+    suffixes=("_with_ewi", "_without_ewi")
+)
+
+with_ewi = comparison[comparison["total_retrofit_cost_with_ewi"] > 0]
+with_ewi["current_epc_rating_with_ewi"].value_counts()
+with_ewi["current_epc_rating_with_ewi"].value_counts()
+
+without_ewi = comparison[comparison["total_retrofit_cost_without_ewi"] > 0]
+with_ewi = comparison[comparison["total_retrofit_cost_with_ewi"] > 0]
+
+with_ewi[with_ewi["current_epc_rating_with_ewi"] == "Epc.C"]["uprn"]
+
+to_fix = with_ewi[with_ewi["current_epc_rating_with_ewi"] == "Epc.C"]
+to_fix = to_fix[["uprn", "address_with_ewi", "postcode_with_ewi", "property_type_with_ewi"]].rename(
+    columns={
+        "address_with_ewi": "address",
+        "postcode_with_ewi": "postcode",
+        "property_type_with_ewi": "property_type"
+    }
+).merge(
+    sal[["epc_os_uprn", "landlord_built_form"]],
+    left_on="uprn",
+    right_on="epc_os_uprn",
+    how="left"
+).drop(columns=["epc_os_uprn"])
+
+to_fix = to_fix.to_dict("records")
diff --git a/recommendations/VentilationRecommendations.py b/recommendations/VentilationRecommendations.py
index a8aa0ca3..ed2f50e2 100644
--- a/recommendations/VentilationRecommendations.py
+++ b/recommendations/VentilationRecommendations.py
@@ -39,7 +39,7 @@ class VentilationRecommendations(Definitions):
 
         parts = self.mechanical_ventilation_materials.copy()
 
-        already_installed = "cavity_wall_insulation" in self.property.already_installed
+        already_installed = "mechanical_ventilation" in self.property.already_installed
 
         # TODO: We now have multiple ventilation options - we default to selecting the cheapest option
         part = min(parts, key=lambda x: x['total_cost'])
diff --git a/recommendations/optimiser/optimiser_functions.py b/recommendations/optimiser/optimiser_functions.py
index ca48d26d..a4543dbf 100644
--- a/recommendations/optimiser/optimiser_functions.py
+++ b/recommendations/optimiser/optimiser_functions.py
@@ -241,7 +241,8 @@ def calculate_gain(
             else epc_to_sap_lower_bound(body.goal_value)
         )
 
-        if target_sap == current_sap:
+        if target_sap <= current_sap:
+            # We've already met or exceeded the target EPC
             return 0
 
         gain = CostOptimiser.calculate_sap_gain_with_slack(
diff --git a/sfr/principal_pitch/2_export_data.py b/sfr/principal_pitch/2_export_data.py
index a3042a56..f12eb85d 100644
--- a/sfr/principal_pitch/2_export_data.py
+++ b/sfr/principal_pitch/2_export_data.py
@@ -16,13 +16,13 @@ from collections import defaultdict
 # SCENARIOS = [389]
 PORTFOLIO_ID = 435  # Peabody
 SCENARIOS = [
-    # 908,
-    # 909,
+    908,
+    909,
     910,
 ]
 scenario_names = {
-    # 908: "EPC C - no solid floor, ashp 3.0",
-    # 909: "EPC C - no solid floor, no EWI or IWI, ashp 3.0",
+    908: "EPC C - no solid floor, ashp 3.0",
+    909: "EPC C - no solid floor, no EWI or IWI, ashp 3.0",
     910: "EPC B - no solid floor, no EWI, ashp 3.0"
 }