multiperiod_demo_draft.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ADVANCED PSE+ STAKEHOLDER SUMMIT I 2023: \n",
    "# Interactive Code Demonstration Using WaterTAP\n",
    "\n",
    "### Today's demonstration will show \n",
    "- Part 1: how to build, initialize, simulate, and optimize a flowsheet for multiperiod analysis. The demonstration will demonstrate the use of a reverse osmosis (RO) unit model.\n",
    "- Part 2: :\n",
    "    - Public Github Repository: https://github.com/watertap-org/watertap\n",
    "    - Documentation: https://watertap.readthedocs.io/en/stable/\n",
    "    - Installer for User Interface: https://watertap-org.github.io/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overall approach to multiperiod flowsheets\n",
    "<p align=\"center\">\n",
    "  <img src=\"assets/MP_Framework.png\" height=\"320\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1: Build, setup, and simulate the multiperiod RO+PV+Battery flowsheet"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "<p align=\"center\">\n",
    "  <img src=\"assets/RO_PV_Batt.svg\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multiperiod Setup\n",
    "#### Import Pyomo, IDAES, and WaterTAP packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Pyomo imports\n",
    "from pyomo.environ import ConcreteModel, Objective, Var, value, units as pyunits\n",
    "\n",
    "# IDAES imports\n",
    "from idaes.core import FlowsheetBlock\n",
    "from idaes.core.surrogate.pysmo_surrogate import PysmoSurrogate\n",
    "from idaes.apps.grid_integration.multiperiod.multiperiod import MultiPeriodModel\n",
    "from idaes.core.solvers.get_solver import get_solver\n",
    "# import idaes.logger as idaeslog\n",
    "from idaes.core.solvers.get_solver import get_solver"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import custom BatteryStorage model and define a method to define a battery"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "from steady_state_flowsheets.battery import BatteryStorage\n",
    "\n",
    "def add_battery(m):\n",
    "    \"\"\" This model does not use the flowsheet's time domain. Instead, it only models a single timestep, with initial\n",
    "    conditions provided by `initial_state_of_charge` and `initial_energy_throughput`. The model calculates change\n",
    "    in stored energy across a single time step using the power flow variables, `power_in` and `power_out`, and\n",
    "    the `dr_hr` parameter.\"\"\"\n",
    "\n",
    "    m.fs.battery = BatteryStorage()\n",
    "    m.fs.battery.charging_eta.set_value(0.95)    # Charging efficiency\n",
    "    m.fs.battery.discharging_eta.set_value(0.95) # Discharging efficiency\n",
    "    m.fs.battery.dt.set_value(1)                 # Time step\n",
    "\n",
    "    return m.fs.battery"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define critical variables:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "def define_system_vars(m):\n",
    "    if \"USD_2021\" not in pyunits._pint_registry:\n",
    "            pyunits.load_definitions_from_strings(\n",
    "                [\"USD_2021 = 500/708.0 * USD_CE500\"]\n",
    "            )\n",
    "\n",
    "    m.fs.pv_to_ro = Var(\n",
    "            initialize = 100,\n",
    "            bounds = (0,None),\n",
    "            units = pyunits.kW,\n",
    "            doc = 'PV to RO electricity'\n",
    "        )\n",
    "    m.fs.grid_to_ro = Var(\n",
    "            initialize = 100,\n",
    "            bounds = (0,None),\n",
    "            units = pyunits.kW,\n",
    "            doc = 'Grid to RO electricity'\n",
    "        )\n",
    "    m.fs.curtailment = Var(\n",
    "            initialize = 0,\n",
    "            bounds = (0,None),\n",
    "            units = pyunits.kW,\n",
    "            doc = 'PV curtailment'\n",
    "        )\n",
    "\n",
    "    m.fs.elec_price = Var(\n",
    "            initialize = 0.1,\n",
    "            bounds = (0,None),\n",
    "            units = pyunits.USD_2021,\n",
    "            doc = 'Electric Cost'\n",
    "        )\n",
    "    \n",
    "    m.fs.electricity_price = Var(\n",
    "            initialize = 0.1,\n",
    "            bounds = (0,None),\n",
    "            units = pyunits.USD_2021,\n",
    "            doc = 'Electric Cost'\n",
    "        )\n",
    "\n",
    "    m.fs.elec_generation = Var(\n",
    "            initialize = m.fs.pv_gen,\n",
    "            bounds = (0,None),\n",
    "            units = pyunits.kW,\n",
    "            doc = 'PV Power Gen'\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add energy balance constraints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_steady_state_constraints(m):\n",
    "    # Add energy flow balance\n",
    "    @m.Constraint(doc=\"System energy flow\")\n",
    "    def eq_pv_elec_gen(b):\n",
    "        return (\n",
    "        m.fs.pv_gen == b.fs.pv_to_ro + b.fs.battery.elec_in[0] + b.fs.curtailment\n",
    "        )\n",
    "\n",
    "    @m.Constraint(doc=\"RO electricity requirment\")\n",
    "    def eq_ro_elec_req(b):\n",
    "        return (m.fs.ro_elec_req == b.fs.pv_to_ro + b.fs.battery.elec_out[0] + b.fs.grid_to_ro\n",
    "        )\n",
    "\n",
    "    # Add grid electricity cost\n",
    "    @m.Expression(doc=\"grid cost\")\n",
    "    def grid_cost(b):\n",
    "        return (m.fs.electricity_price * b.fs.grid_to_ro * b.fs.battery.dt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "def fix_dof_and_initialize(\n",
    "    m,\n",
    "):\n",
    "    \"\"\"Fix degrees of freedom and initialize the flowsheet\n",
    "\n",
    "    This function fixes the degrees of freedom of each unit and initializes the entire flowsheet.\n",
    "\n",
    "    Args:\n",
    "        m: Pyomo `Block` or `ConcreteModel` containing the flowsheet\n",
    "        outlvl: Logger (default: idaeslog.WARNING)\n",
    "    \"\"\"\n",
    "    m.fs.battery.initialize()\n",
    "\n",
    "    return "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a Pyomo concrete model and steady-state flowsheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_pv_battery_flowsheet(\n",
    "        m = None,\n",
    "        pv_gen = 1000,\n",
    "        electricity_price = 0.1,\n",
    "        ro_capacity = 6000,\n",
    "        ro_elec_req = 944.3,\n",
    "        pv_oversize = 1):\n",
    "    \"\"\"\n",
    "\n",
    "    Returns:\n",
    "        object: A Pyomo concrete optimization model and flowsheet\n",
    "    \"\"\"\n",
    "    if m is None:\n",
    "        m = ConcreteModel()\n",
    "    m.fs = FlowsheetBlock(dynamic=False)\n",
    "\n",
    "    m.fs.pv_gen = pv_gen\n",
    "    m.fs.ro_elec_req = ro_elec_req\n",
    "    m.fs.ro_capacity = ro_capacity\n",
    "    m.fs.electricity_price = electricity_price\n",
    "    m.fs.pv_size = pv_oversize*ro_elec_req\n",
    "\n",
    "    add_battery(m)\n",
    "    define_system_vars(m)\n",
    "    add_steady_state_constraints(m)\n",
    "\n",
    "    return m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.init.fs.battery: Battery initialization status optimal - Optimal Solution Found.\n",
      "fs.pv_to_ro                              194.4      kW\n",
      "fs.grid_to_ro                            374.8      kW\n",
      "fs.curtailment                           402.4      kW\n",
      "fs.elec_price                            0.1        USD_2021\n",
      "fs.electricity_price                     0.1        USD_2021\n",
      "fs.elec_generation                       1,000.0    kW\n",
      "fs.battery.nameplate_power               150,189.1  kW\n",
      "fs.battery.nameplate_energy              278,058.9  kWh\n",
      "fs.battery.initial_state_of_charge       121,922.4  kWh\n",
      "fs.battery.initial_energy_throughput     99,811.5   kWh\n",
      "fs.battery.elec_in[0.0]                  403.2      kWh\n",
      "fs.battery.elec_out[0.0]                 375.0      kWh\n",
      "fs.battery.state_of_charge[0.0]          121,910.7  kWh\n",
      "fs.battery.energy_throughput[0.0]        100,200.6  kWh\n"
     ]
    }
   ],
   "source": [
    "m = build_pv_battery_flowsheet()\n",
    "solver = get_solver()\n",
    "fix_dof_and_initialize(m)\n",
    "results = solver.solve(m)\n",
    "\n",
    "for v in m.fs.component_data_objects(ctype=Var, active=True, descend_into=True):\n",
    "        print(f'{str(v):<40s}', f'{value(v):<10,.1f}', pyunits.get_units(v))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Refresh - approach to multiperiod flowsheets\n",
    "<p align=\"center\">\n",
    "  <img src=\"assets/MP_Framework.png\" height=\"320\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_pv_ro_variable_pairs(t1, t2):\n",
    "    \"\"\"\n",
    "    This function returns pairs of variables that need to be connected across two time periods\n",
    "\n",
    "    Args:\n",
    "        t1: current time block\n",
    "        t2: next time block\n",
    "\n",
    "    Returns:\n",
    "        None\n",
    "    \"\"\"\n",
    "    return [\n",
    "        (t1.fs.battery.state_of_charge[0], t2.fs.battery.initial_state_of_charge),\n",
    "        (t1.fs.battery.energy_throughput[0], t2.fs.battery.initial_energy_throughput),\n",
    "        (t1.fs.battery.nameplate_power, t2.fs.battery.nameplate_power),\n",
    "        (t1.fs.battery.nameplate_energy, t2.fs.battery.nameplate_energy),\n",
    "        ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "def add_pv_ro_constraints(mp):\n",
    "    \"\"\"\n",
    "    This function adds constraints that connect variables across two time periods\n",
    "\n",
    "    Args:\n",
    "        m: Pyomo model\n",
    "\n",
    "    Returns:\n",
    "        None\n",
    "    \"\"\"\n",
    "\n",
    "    cost_battery_power = 75 # $/kW\n",
    "    cost_battery_energy = 50 # $/kWh  \n",
    "    n_time_points= 7*24\n",
    "    ro_capacity = 6000 # m3/day\n",
    "\n",
    "    @mp.Expression(doc=\"battery cost\")\n",
    "    def battery_capital_cost(b):\n",
    "        return ((cost_battery_power * b.blocks[0].process.fs.battery.nameplate_power +\n",
    "                 cost_battery_energy * b.blocks[0].process.fs.battery.nameplate_energy))\n",
    "        \n",
    "    # Add PV cost function\n",
    "    @mp.Expression(doc=\"PV cost\")\n",
    "    def pv_capital_cost(b):\n",
    "        return (0.37 * 1000 * b.blocks[0].process.fs.pv_size +\n",
    "                0.03 * 1000 * b.blocks[0].process.fs.pv_size)\n",
    "\n",
    "    @mp.Expression(doc=\"Capital cost\")\n",
    "    def total_capital_cost(b):\n",
    "        return (b.battery_capital_cost + b.pv_capital_cost)\n",
    "    \n",
    "    @mp.Expression(doc=\"Annualized Capital cost\")\n",
    "    def annualized_capital_cost(b):\n",
    "        return (b.total_capital_cost / 20)\n",
    "\n",
    "    # Total cost\n",
    "    @mp.Expression(doc='total cost')\n",
    "    def total_cost(b):\n",
    "        # The annualized capital cost is evenly distributed to the multiperiod\n",
    "        return (\n",
    "            (b.annualized_capital_cost) / 365 / 24 * n_time_points\n",
    "            + sum([b.blocks[i].process.grid_cost for i in range(n_time_points)])\n",
    "        )\n",
    "\n",
    "    # LCOW\n",
    "    @mp.Expression(doc='total cost')\n",
    "    def LCOW(b):\n",
    "        # LCOW from RO: 0.45\n",
    "        return (\n",
    "            0.40 + b.total_cost / (n_time_points*pyunits.convert(ro_capacity * pyunits.m**3 / pyunits.day, to_units=pyunits.m**3 / pyunits.hour))\n",
    "        )   \n",
    "\n",
    "    # Set objective\n",
    "    mp.obj = Objective(expr=mp.LCOW)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "def unfix_dof(m):\n",
    "    \"\"\"\n",
    "    This function unfixes a few degrees of freedom for optimization\n",
    "\n",
    "    Args:\n",
    "        m: object containing the integrated nuclear plant flowsheet\n",
    "\n",
    "    Returns:\n",
    "        None\n",
    "    \"\"\"\n",
    "    m.fs.battery.nameplate_energy.unfix()\n",
    "    m.fs.battery.nameplate_power.unfix()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "def load_surrogate(surrogate_filename='demo_surrogate.json'):\n",
    "    return PysmoSurrogate.load_from_file(surrogate_filename)\n",
    "\n",
    "def eval_surrogate(surrogate, design_size, Hour, Day):\n",
    "    input = pd.DataFrame.from_dict([{'design_size':design_size, 'Hour':Hour, 'Day':Day}], orient='columns')\n",
    "    hourly_gen = surrogate.evaluate_surrogate(input)\n",
    "    return hourly_gen.values[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_flowsheet_options(mp,\n",
    "        n_time_points= 7*24,\n",
    "        ro_capacity = 6000, # m3/day\n",
    "        ro_elec_req = 1000, # kW\n",
    "        pv_oversize = 1,\n",
    "        surrogate = None):\n",
    "    \n",
    "    flowsheet_options={ t: { \n",
    "                            \"pv_gen\": 1000,\n",
    "                            \"electricity_price\": 0.1,\n",
    "                            \"ro_capacity\": ro_capacity, \n",
    "                            \"ro_elec_req\": ro_elec_req,\n",
    "                            \"pv_oversize\": pv_oversize} \n",
    "                            for t in range(n_time_points)\n",
    "    }\n",
    "\n",
    "    # create the multiperiod object\n",
    "    mp.build_multi_period_model(\n",
    "        model_data_kwargs=flowsheet_options,\n",
    "        flowsheet_options={ \"ro_capacity\": ro_capacity, \n",
    "                            \"ro_elec_req\": ro_elec_req},)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_multiperiod_pv_battery_model(\n",
    "        n_time_points= 7*24,        \n",
    "    ):\n",
    "    \n",
    "    mp = MultiPeriodModel(\n",
    "        n_time_points=n_time_points,\n",
    "        process_model_func=build_pv_battery_flowsheet,\n",
    "        linking_variable_func=get_pv_ro_variable_pairs,\n",
    "        initialization_func=fix_dof_and_initialize,\n",
    "        unfix_dof_func=unfix_dof,\n",
    "    )\n",
    "\n",
    "    # surrogate = load_surrogate()\n",
    "    load_flowsheet_options(mp)\n",
    "    mp.blocks[0].process.fs.battery.initial_state_of_charge.fix(0)\n",
    "    add_pv_ro_constraints(mp)\n",
    "    \n",
    "    return mp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[+   0.00] Beginning the formulation of the multiperiod optimization problem.\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[0]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[1]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[2]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[3]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[4]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[5]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[6]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[7]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[8]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[9]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[10]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[11]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[12]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[13]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[14]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[15]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[16]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[17]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[18]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[19]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[20]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[21]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[22]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[23]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[24]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[25]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[26]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[27]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[28]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[29]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[30]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[31]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[32]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[33]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[34]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[35]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[36]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[37]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[38]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[39]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[40]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[41]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[42]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[43]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[44]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[45]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[46]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[47]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[48]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[49]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[50]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[51]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[52]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[53]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[54]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[55]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[56]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[57]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[58]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[59]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[60]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[61]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[62]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[63]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[64]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[65]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[66]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[67]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[68]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[69]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[70]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[71]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[72]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[73]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[74]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[75]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[76]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[77]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[78]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[79]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[80]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[81]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[82]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[83]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[84]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[85]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[86]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[87]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[88]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[89]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[90]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[91]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[92]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[93]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[94]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[95]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[96]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[97]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[98]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[99]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[100]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[101]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[102]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[103]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[104]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[105]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[106]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[107]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[108]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[109]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[110]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[111]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[112]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[113]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[114]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[115]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[116]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[117]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[118]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[119]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[120]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[121]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[122]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[123]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[124]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[125]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[126]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[127]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[128]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[129]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[130]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[131]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[132]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[133]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[134]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[135]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[136]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[137]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[138]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[139]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[140]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[141]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[142]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[143]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[144]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[145]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[146]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[147]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[148]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[149]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[150]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[151]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[152]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[153]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[154]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[155]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[156]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[157]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[158]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[159]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[160]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[161]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[162]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[163]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[164]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[165]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[166]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.apps.grid_integration.multiperiod.multiperiod: ...Constructing the flowsheet model for blocks[167]\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "[+   0.51] Completed the formulation of the multiperiod optimization problem.\n",
      "WARNING: Reassigning the non-component attribute electricity_price on block\n",
      "    (model).fs with a new Component with type <class\n",
      "    'pyomo.core.base.var.AbstractScalarVar'>. This is usually indicative of a\n",
      "    modelling error. To avoid this warning, explicitly delete the attribute:\n",
      "        del fs.electricity_price\n",
      "2023-10-06 15:08:26 [INFO] idaes.init.fs.battery: Battery initialization status optimal - Optimal Solution Found.\n",
      "[+   0.06] Created an instance of the flowsheet and initialized it.\n",
      "[+   0.04] Initialized the entire multiperiod optimization model.\n",
      "[+   0.00] Unfixed the degrees of freedom from each period model.\n"
     ]
    }
   ],
   "source": [
    "mp = create_multiperiod_pv_battery_model()\n",
    "results = solver.solve(mp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pv_size              1,000.00  \n",
      "battery_power        148,921.16\n",
      "battery_energy       216,401.70\n",
      "LCOW                 0.91      \n"
     ]
    }
   ],
   "source": [
    "labels = ['pv_size', 'battery_power', 'battery_energy', 'LCOW']\n",
    "for idx, v in enumerate([mp.blocks[0].process.fs.pv_size, mp.blocks[0].process.fs.battery.nameplate_power, mp.blocks[0].process.fs.battery.nameplate_energy, mp.LCOW]):\n",
    "    print(f'{labels[idx]:<20s}', f'{value(v):<10,.2f}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "x and y must have same first dimension, but have shapes (168,) and (2,)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/f6/ln_247ms54b5y1mdczhdrr59rtfn88/T/ipykernel_85338/545048604.py\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvisualize\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mcreate_plot\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mcreate_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Desktop/Stakeholder_Meeting_Oct23/util/visualize.py\u001b[0m in \u001b[0;36mcreate_plot\u001b[0;34m(mp, elec_prices)\u001b[0m\n\u001b[1;32m     59\u001b[0m     \u001b[0max4\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mspines\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mright\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_position\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"axes\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1.1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 61\u001b[0;31m     \u001b[0mline1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0max4\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhour\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0melec_prices\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdashes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"#ebe8e8\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'Grid Price'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     62\u001b[0m     \u001b[0max4\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_ylabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Grid Price ($/kWh)'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'center'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mva\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'center'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfontsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m16\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabelpad\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     63\u001b[0m     \u001b[0max4\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_ylim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0.6\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/envs/watertap/lib/python3.8/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mplot\u001b[0;34m(self, scalex, scaley, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1660\u001b[0m         \"\"\"\n\u001b[1;32m   1661\u001b[0m         \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnormalize_kwargs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmlines\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLine2D\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1662\u001b[0;31m         \u001b[0mlines\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_lines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1663\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlines\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1664\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/envs/watertap/lib/python3.8/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m    309\u001b[0m                 \u001b[0mthis\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    310\u001b[0m                 \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 311\u001b[0;31m             yield from self._plot_args(\n\u001b[0m\u001b[1;32m    312\u001b[0m                 this, kwargs, ambiguous_fmt_datakey=ambiguous_fmt_datakey)\n\u001b[1;32m    313\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/opt/anaconda3/envs/watertap/lib/python3.8/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_plot_args\u001b[0;34m(self, tup, kwargs, return_kwargs, ambiguous_fmt_datakey)\u001b[0m\n\u001b[1;32m    502\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    503\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 504\u001b[0;31m             raise ValueError(f\"x and y must have same first dimension, but \"\n\u001b[0m\u001b[1;32m    505\u001b[0m                              f\"have shapes {x.shape} and {y.shape}\")\n\u001b[1;32m    506\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: x and y must have same first dimension, but have shapes (168,) and (2,)"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from util.visualize import create_plot\n",
    "create_plot(mp, [0,1])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "watertap-dev",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}