new composite curve, nwe potential analysis.

data/examples/heat_integration_example_1.json

@@ -331,8 +331,8 @@
   "pinch_notes": "",
   "current_energy_demands": [
     {
-      "heat_demand": 1000.0,
-      "cooling_demand": 1000.0,
+      "heat_demand": 3000.0,
+      "cooling_demand": 3000.0,
       "selected_heat_streams": [
         "Steam Subprocess 1 s2",
         "Product Subprocess 1 s1",

src/pages/potential_analysis.py

@@ -2532,10 +2532,11 @@ else:
                     key=f"heat_{i}"
                 )
 
+                heat_default = [s for s in demand.get('selected_heat_streams', all_hot_names) if s in all_hot_names]
                 demand['selected_heat_streams'] = st.multiselect(
                     "Supplied streams",
                     all_hot_names,
-                    default=demand.get('selected_heat_streams', all_hot_names),
+                    default=heat_default,
                     key=f"heat_streams_{i}"
                 )
 
@@ -2548,10 +2549,11 @@ else:
                     key=f"cooling_{i}"
                 )
 
+                cooling_default = [s for s in demand.get('selected_cooling_streams', all_cold_names) if s in all_cold_names]
                 demand['selected_cooling_streams'] = st.multiselect(
                     "Supplied streams",
                     all_cold_names,
-                    default=demand.get('selected_cooling_streams', all_cold_names),
+                    default=cooling_default,
                     key=f"cooling_streams_{i}"
                 )
 
@@ -2950,7 +2952,7 @@ else:
                         yaxis_title='Temperature T (°C)',
                         height=400,
                         margin=dict(l=60, r=20, t=40, b=50),
-                        legend=dict(x=0.7, y=0.1),
+                        legend=dict(x=0.01, y=0.99, xanchor='left', yanchor='top'),
                         hovermode='closest',
                         xaxis=dict(rangemode='tozero'),
                         yaxis=dict(rangemode='tozero')