Ran idaesx build pre for the complimentary methanol notebooks

Author: tannerpolley

idaes_examples/notebooks/docs/flowsheets/methanol_synthesis.ipynb

@@ -653,7 +653,21 @@
     "\n",
     "print()\n",
     "print(\"Solving optimization problem...\")\n",
+    "\n",
+    "# Pass 1: smoothed VLE transition\n",
+    "eps_nominal = value(m.fs.F101.control_volume.properties_in[0.0].eps_2_Vap_Liq)\n",
+    "m.fs.F101.control_volume.properties_in[0.0].eps_2_Vap_Liq.set_value(eps_nominal * 2.5)\n",
+    "m.fs.F101.control_volume.properties_out[0.0].eps_2_Vap_Liq.set_value(eps_nominal * 2.5)\n",
+    "\n",
     "opt_res = solver.solve(m, tee=True)\n",
+    "assert opt_res.solver.termination_condition == TerminationCondition.optimal\n",
+    "\n",
+    "# Pass 2: restore default smoothness\n",
+    "m.fs.F101.control_volume.properties_in[0.0].eps_2_Vap_Liq.set_value(eps_nominal)\n",
+    "m.fs.F101.control_volume.properties_out[0.0].eps_2_Vap_Liq.set_value(eps_nominal)\n",
+    "\n",
+    "opt_res = solver.solve(m, tee=True)\n",
+    "assert opt_res.solver.termination_condition == TerminationCondition.optimal\n",
     "\n",
     "print(\"Optimal solution process results:\")\n",
     "report(m)"
@@ -677,8 +691,6 @@
    "outputs": [],
    "source": [
     "# testing model results\n",
-    "assert opt_res.solver.termination_condition == TerminationCondition.optimal\n",
-    "\n",
     "assert value(m.fs.R101.rate_reaction_extent[0, \"R1\"]) == pytest.approx(\n",
     "    311.3070, rel=1e-5\n",
     ")\n",