Upload app.py

app.py

@@ -140,6 +140,7 @@ y_ch = m.add_variables(coords = [t,i], name = 'y_ch', lower = 0)    # Electricit
 l = m.add_variables(coords = [t,i], name = 'l', lower = 0)          # Storage filling level
 w = m.add_variables(coords = [t], name = 'w', lower = 0)          # RES curtailment
 y_curt = m.add_variables(coords = [t,i], name = 'y_curt', lower = 0)
+y_h2 = m.add_variables(coords = [t,i], name = 'y_h2', lower = 0)
 
 ## Objective function
 C_tot = C_op + C_inv
@@ -147,13 +148,13 @@ m.add_objective(C_tot)
 
 ## Costs terms for objective function
 # Operational costs minus revenue for produced hydrogen
-C_op_sum = m.add_constraints((y * c_fuel_i/eff_i).sum() * dt - (y_ch.sel(i = iPtG) * eff_i.sel(i = iPtG) * price_h2).sum() * dt  == C_op, name = 'C_op_sum')
+C_op_sum = m.add_constraints((y * c_fuel_i/eff_i).sum() * dt - (y_h2.sel(i = iPtG) * price_h2).sum() * dt  == C_op, name = 'C_op_sum')
 
 # Investment costs
 C_inv_sum = m.add_constraints((K * c_inv_i).sum() == C_inv, name = 'C_inv_sum')
 
 ## Load serving
-loadserve_t = m.add_constraints((((y ).sum(dims = 'i') - (w ) - y_ch.sum(dims = 'i')) * dt  == D_t.sel(t = t) * dt), name =  'load')
+loadserve_t = m.add_constraints((((y ).sum(dims = 'i') - y_ch.sum(dims = 'i')) * dt  == D_t.sel(t = t) * dt), name =  'load')
 
 ## Maximum capacity limit
 maxcap_i_t = m.add_constraints((y - K <= K_0_i), name = 'max_cap')
@@ -170,6 +171,9 @@ maxcha_iSto_t = m.add_constraints((y.sel(i = iSto) + y_ch.sel(i = iSto) - K.sel(
 ## Maximum electrolyzer capacity
 ptg_prod_iPtG_t = m.add_constraints((y_ch.sel(i = iPtG) - K.sel(i = iPtG) <= K_0_i.sel(i = iPtG)), name = 'max_cha_ptg')
 
+## PtG H2 production
+h2_prod_iPtG_t = m.add_constraints(y_ch.sel(i = iPtG) * eff_i.sel(i = iPtG) == y_h2.sel(i = PtG), name = 'ptg_h2_prod')
+
 ## Infeed of renewables
 infeed_iRes_t = m.add_constraints((y.sel(i = iRes) - s_t_r_iRes.sel(i = iRes).sel(t = t) * K.sel(i = iRes) + y_curt.sel(i = iRes) == s_t_r_iRes.sel(i = iRes).sel(t = t) * K_0_i.sel(i = iRes)), name =  'infeed')
 
@@ -271,6 +275,13 @@ with colb1:
 df_charging = m.solution['y_ch'].sel(i = iSto).to_dataframe().reset_index()
 fig = px.area(m.solution['y_ch'].sel(i = iSto).to_dataframe().reset_index(), y='y_ch', x='t',  title='Storage charging [MWh]', color='i')
 
+with colb2:
+    fig
+
+# %%
+df_h2_prod = m.solution['y_h2'].sel(i = iPtG).to_dataframe().reset_index()
+fig = px.area(m.solution['y_h2'].sel(i = iPtG).to_dataframe().reset_index(), y='y_ch', x='t',  title='Hydrogen production [MWh_th]', color='i')
+
 with colb2:
     fig
 
@@ -299,6 +310,7 @@ with pd.ExcelWriter(output, engine='xlsxwriter') as writer:
     df_charging.to_excel(writer, sheet_name='Charging', index=False)
     D_t.to_dataframe().reset_index().to_excel(writer, sheet_name='Demand', index=False)
     df_curtailment.to_excel(writer, sheet_name='Curtailment', index=False)
+    df_h2_prod.to_excel(writer, sheet_name='H2 production', index=False)
 
 with col4:
     st.download_button(