GAC Test Harness

watertap/costing/unit_models/tests/test_gac.py

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+#################################################################################
+# WaterTAP Copyright (c) 2020-2023, The Regents of the University of California,
+# through Lawrence Berkeley National Laboratory, Oak Ridge National Laboratory,
+# National Renewable Energy Laboratory, and National Energy Technology
+# Laboratory (subject to receipt of any required approvals from the U.S. Dept.
+# of Energy). All rights reserved.
+#
+# Please see the files COPYRIGHT.md and LICENSE.md for full copyright and license
+# information, respectively. These files are also available online at the URL
+# "https://github.com/watertap-org/watertap/"
+#################################################################################
+
+import pytest
+import pyomo.environ as pyo
+import idaes.core.util.model_statistics as istat
+
+from pyomo.util.check_units import assert_units_consistent
+from idaes.core import (
+    UnitModelCostingBlock,
+)
+from idaes.core.solvers import get_solver
+from idaes.core.util.testing import initialization_tester
+from watertap.costing import WaterTAPCosting
+from watertap.unit_models.tests.test_gac import build_crittenden
+
+
+__author__ = "Hunter Barber"
+
+solver = get_solver()
+
+
+class TestGACCosting:
+    @pytest.fixture(scope="class")
+    def build(self):
+        m = build_crittenden()
+        initialization_tester(m)
+        solver.solve(m)
+
+        m.fs.costing = WaterTAPCosting()
+        m.fs.costing.base_currency = pyo.units.USD_2020
+
+        m.fs.unit.costing = UnitModelCostingBlock(flowsheet_costing_block=m.fs.costing)
+        m.fs.costing.cost_process()
+        m.fs.unit.costing.initialize()
+
+        return m
+
+    @pytest.mark.component
+    def test_robust_costing_pressure(self, build):
+        m = build
+
+        m.fs.costing = WaterTAPCosting()
+        m.fs.costing.base_currency = pyo.units.USD_2020
+
+        m.fs.unit.costing = UnitModelCostingBlock(flowsheet_costing_block=m.fs.costing)
+        m.fs.costing.cost_process()
+
+        # testing gac costing block dof and initialization
+        assert assert_units_consistent(m) is None
+        assert istat.degrees_of_freedom(m) == 0
+        m.fs.unit.costing.initialize()
+
+        # solve
+        results = solver.solve(m)
+
+        # Check for optimal solution
+        assert pyo.check_optimal_termination(results)
+
+        cost = m.fs.unit.costing
+        # Check for known cost solution of default twin alternating contactors
+        assert pyo.value(m.fs.costing.gac_pressure.num_contactors_op) == 1
+        assert pyo.value(m.fs.costing.gac_pressure.num_contactors_redundant) == 1
+        assert pytest.approx(56900, rel=1e-3) == pyo.value(cost.contactor_cost)
+        assert pytest.approx(4.359, rel=1e-3) == pyo.value(cost.adsorbent_unit_cost)
+        assert pytest.approx(17450, rel=1e-3) == pyo.value(cost.adsorbent_cost)
+        assert pytest.approx(81690, rel=1e-3) == pyo.value(cost.other_process_cost)
+        assert pytest.approx(2.0 * 156000, rel=1e-3) == pyo.value(cost.capital_cost)
+        assert pytest.approx(12680, rel=1e-3) == pyo.value(cost.gac_makeup_cost)
+        assert pytest.approx(27660, rel=1e-3) == pyo.value(cost.gac_regen_cost)
+        assert pytest.approx(0.01631, rel=1e-3) == pyo.value(cost.energy_consumption)
+        assert pytest.approx(40370, rel=1e-3) == pyo.value(cost.fixed_operating_cost)
+
+    @pytest.mark.component
+    def test_robust_costing_gravity(self, build):
+        mr_grav = build
+
+        mr_grav.fs.costing = WaterTAPCosting()
+        mr_grav.fs.costing.base_currency = pyo.units.USD_2020
+
+        mr_grav.fs.unit.costing = UnitModelCostingBlock(
+            flowsheet_costing_block=mr_grav.fs.costing,
+            costing_method_arguments={"contactor_type": "gravity"},
+        )
+        mr_grav.fs.costing.cost_process()
+
+        # testing gac costing block dof and initialization
+        assert assert_units_consistent(mr_grav) is None
+        assert istat.degrees_of_freedom(mr_grav) == 0
+        mr_grav.fs.unit.costing.initialize()
+
+        # solve
+        results = solver.solve(mr_grav)
+
+        # Check for optimal solution
+        assert pyo.check_optimal_termination(results)
+
+        cost = mr_grav.fs.unit.costing
+        # Check for known cost solution of default twin alternating contactors
+        assert pyo.value(mr_grav.fs.costing.gac_gravity.num_contactors_op) == 1
+        assert pyo.value(mr_grav.fs.costing.gac_gravity.num_contactors_redundant) == 1
+        assert pytest.approx(163200, rel=1e-3) == pyo.value(cost.contactor_cost)
+        assert pytest.approx(4.359, rel=1e-3) == pyo.value(cost.adsorbent_unit_cost)
+        assert pytest.approx(17450, rel=1e-3) == pyo.value(cost.adsorbent_cost)
+        assert pytest.approx(159500, rel=1e-3) == pyo.value(cost.other_process_cost)
+        assert pytest.approx(2.0 * 340200, rel=1e-3) == pyo.value(cost.capital_cost)
+        assert pytest.approx(12680, rel=1e-3) == pyo.value(cost.gac_makeup_cost)
+        assert pytest.approx(27660, rel=1e-3) == pyo.value(cost.gac_regen_cost)
+        assert pytest.approx(2.476, rel=1e-3) == pyo.value(cost.energy_consumption)
+        assert pytest.approx(40370, rel=1e-3) == pyo.value(cost.fixed_operating_cost)
+
+    @pytest.mark.component
+    def test_robust_costing_modular_contactors(self, build):
+        m = build
+
+        m.fs.costing = WaterTAPCosting()
+        m.fs.costing.base_currency = pyo.units.USD_2020
+
+        m.fs.unit.costing = UnitModelCostingBlock(flowsheet_costing_block=m.fs.costing)
+        m.fs.costing.cost_process()
+
+        m.fs.costing.gac_pressure.num_contactors_op.fix(4)
+        m.fs.costing.gac_pressure.num_contactors_redundant.fix(2)
+
+        results = solver.solve(m)
+
+        cost = m.fs.unit.costing
+        # Check for known cost solution when changing volume scale of vessels in parallel
+        assert pyo.value(m.fs.costing.gac_pressure.num_contactors_op) == 4
+        assert pyo.value(m.fs.costing.gac_pressure.num_contactors_redundant) == 2
+        assert pytest.approx(89040, rel=1e-3) == pyo.value(cost.contactor_cost)
+        assert pytest.approx(69690, rel=1e-3) == pyo.value(cost.other_process_cost)
+        assert pytest.approx(2.0 * 176200, rel=1e-3) == pyo.value(cost.capital_cost)
+
+    @pytest.mark.component
+    def test_robust_costing_max_gac_ref(self, build):
+        m = build
+
+        # scale flow up 10x
+        unit_feed = m.fs.unit.process_flow.properties_in[0]
+        unit_feed.flow_mol_phase_comp["Liq", "H2O"].fix(10 * 824.0736620370348)
+        unit_feed.flow_mol_phase_comp["Liq", "TCE"].fix(10 * 5.644342973110135e-05)
+
+        m.fs.costing = WaterTAPCosting()
+        m.fs.costing.base_currency = pyo.units.USD_2020
+
+        m.fs.unit.costing = UnitModelCostingBlock(flowsheet_costing_block=m.fs.costing)
+        m.fs.costing.cost_process()
+        # not necessarily an optimum solution because poor scaling
+        # but just checking the conditional
+        results = solver.solve(m)
+
+        # Check for bed_mass_gac_cost_ref to be overwritten
+        # if bed_mass_gac is greater than bed_mass_gac_cost_max_ref
+        assert pyo.value(m.fs.unit.bed_mass_gac) > pyo.value(
+            m.fs.costing.gac_pressure.bed_mass_max_ref
+        )
+        assert pyo.value(m.fs.unit.costing.bed_mass_gac_ref) == (
+            pytest.approx(pyo.value(m.fs.costing.gac_pressure.bed_mass_max_ref), 1e-5)
+        )