NatLabRockies · johnjasa · Apr 10, 2026 · Apr 2, 2026 · Apr 3, 2026 · Apr 3, 2026
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -35,6 +35,7 @@
 - Added oxygen production metrics and as outputs to `ECOElectrolyzerPerformanceModel` [PR 642](https://github.com/NatLabRockies/H2Integrate/pull/642)
 - Bugfix to allow for one resource to be connected to multiple technologies [PR 655](https://github.com/NatLabRockies/H2Integrate/pull/655)
 - Removed the last of the logic that was based on technology names rather than model classes [PR 654](https://github.com/NatLabRockies/H2Integrate/pull/654)
+- Add input checking for extraneous or mis-categorized input parameters for technologies that have a defined control strategy or dispatch rule set [PR 647](https://github.com/NatLabRockies/H2Integrate/pull/647)
 - Bumps the `coin-or-cbc` dependency to at least 2.10.12 to enable easy Windows compatibility. [PR 590](https://github.com/NatLabRockies/H2Integrate/pull/590)
 - Uses the optional installation parameter `extras` to combine all analysis extras, and remove them
   from the `develop` options. [PR 590](https://github.com/NatLabRockies/H2Integrate/pull/590)

diff --git a/examples/01_onshore_steel_mn/tech_config.yaml b/examples/01_onshore_steel_mn/tech_config.yaml
@@ -60,10 +60,7 @@ technologies:
     dispatch_rule_set:
       model: PyomoDispatchGenericConverter
     model_inputs:
-      performance_parameters:
-        commodity: electricity
-        commodity_rate_units: kW
-      dispatch_rule_parameters:
+      shared_parameters:
         commodity: electricity
         commodity_rate_units: kW
   battery:
@@ -81,20 +78,20 @@ technologies:
         commodity_rate_units: kW
         max_charge_rate: 375740.4  # kW
         max_capacity: 375745.2  # kWh
-        n_control_window: 24
         init_soc_fraction: 0.9
         max_soc_fraction: 1.0
         min_soc_fraction: 0.2
-        system_commodity_interface_limit: 1e12
       performance_parameters:
-        system_model_source: pysam
         chemistry: LFPGraphite
         demand_profile: 720000  # 720 MW
       cost_parameters:
         cost_year: 2019
         energy_capex: 310  # $/kWh from 2024 ATB year 2025
         power_capex: 311  # $/kW from 2024 ATB year 2025
         opex_fraction: 0.024999840573439444
+      control_parameters:
+        system_commodity_interface_limit: 1e12
+        n_control_window: 24
   electrolyzer:
     performance_model:
       model: ECOElectrolyzerPerformanceModel
@@ -128,12 +125,12 @@ technologies:
         commodity: hydrogen
         commodity_rate_units: kg/h
         set_demand_as_avg_commodity_in: true
+        commodity_amount_units: kg
       performance_parameters:
         min_soc_fraction: 0.0
         max_soc_fraction: 1.0
         charge_efficiency: 1.0
         discharge_efficiency: 1.0
-        commodity_amount_units: kg
       cost_parameters:
         # since the storage is being auto-sized by the performance model,
         # we set the sizing mode to 'auto' rather than defining the capacities

diff --git a/examples/02_texas_ammonia/tech_config.yaml b/examples/02_texas_ammonia/tech_config.yaml
@@ -60,10 +60,7 @@ technologies:
     dispatch_rule_set:
       model: PyomoDispatchGenericConverter
     model_inputs:
-      performance_parameters:
-        commodity: electricity
-        commodity_rate_units: kW
-      dispatch_rule_parameters:
+      shared_parameters:
         commodity: electricity
         commodity_rate_units: kW
   battery:
@@ -81,20 +78,20 @@ technologies:
         commodity_rate_units: kW
         max_charge_rate: 96.0  # kW
         max_capacity: 96.0  # kWh
-        n_control_window: 24
         init_soc_fraction: 0.9
         max_soc_fraction: 1.0
         min_soc_fraction: 0.2
-        system_commodity_interface_limit: 1e12
       performance_parameters:
-        system_model_source: pysam
         chemistry: LFPGraphite
         demand_profile: 640000  # 640 MW
       cost_parameters:
         cost_year: 2019
         energy_capex: 310  # $/kWh from 2024 ATB year 2025
         power_capex: 311  # $/kW from 2024 ATB year 2025
         opex_fraction: 0.025
+      control_parameters:
+        system_commodity_interface_limit: 1e12
+        n_control_window: 24
   electrolyzer:
     performance_model:
       model: ECOElectrolyzerPerformanceModel
@@ -127,13 +124,13 @@ technologies:
       shared_parameters:
         commodity: hydrogen
         commodity_rate_units: kg/h
+        commodity_amount_units: kg
         set_demand_as_avg_commodity_in: true
       performance_parameters:
         min_soc_fraction: 0.0
         max_soc_fraction: 1.0
         charge_efficiency: 1.0
         discharge_efficiency: 1.0
-        commodity_amount_units: kg
       cost_parameters:
         # since the storage is being auto-sized by the performance model,
         # we set the sizing mode to 'auto' rather than defining the capacities

diff --git a/examples/09_co2/direct_ocean_capture/tech_config.yaml b/examples/09_co2/direct_ocean_capture/tech_config.yaml
@@ -9,12 +9,11 @@ technologies:
     dispatch_rule_set:
       model: PyomoDispatchGenericConverter
     model_inputs:
-      shared_parameters:
-        cost_year: 2022
       performance_parameters:
         cache_dir: cache
         enable_caching: true
         hopp_config: !include tech_inputs/hopp_config.yaml
+        cost_year: 2022
       dispatch_rule_parameters:
         commodity: electricity
         commodity_rate_units: kW
@@ -53,10 +52,7 @@ technologies:
     dispatch_rule_set:
       model: PyomoDispatchGenericConverter
     model_inputs:
-      performance_parameters:
-        commodity: electricity
-        commodity_rate_units: kW
-      dispatch_rule_parameters:
+      shared_parameters:
         commodity: electricity
         commodity_rate_units: kW
   battery:
@@ -74,20 +70,20 @@ technologies:
         commodity_rate_units: kW
         max_charge_rate: 50000  # kW
         max_capacity: 200000  # kWh
-        n_control_window: 24
         init_soc_fraction: 0.9
         max_soc_fraction: 1.0
         min_soc_fraction: 0.2
-        system_commodity_interface_limit: 1e12
       performance_parameters:
-        system_model_source: pysam
         chemistry: LFPGraphite
         demand_profile: 340000  # 340 MW
       cost_parameters:
         cost_year: 2022
         energy_capex: 246  # $/kWh from 2024 ATB year 2025
         power_capex: 317  # $/kW from 2024 ATB year 2025
         opex_fraction: 0.02536510376633359
+      control_parameters:
+        n_control_window: 24
+        system_commodity_interface_limit: 1e12
   doc:
     performance_model:
       model: DOCPerformanceModel

diff --git a/examples/09_co2/ocean_alkalinity_enhancement/tech_config.yaml b/examples/09_co2/ocean_alkalinity_enhancement/tech_config.yaml
@@ -50,21 +50,20 @@ technologies:
         commodity_rate_units: kW
         max_charge_rate: 50000  # kW
         max_capacity: 200000  # kWh
-        n_control_window: 24
         init_soc_fraction: 0.9
         max_soc_fraction: 1.0
         min_soc_fraction: 0.2
-        system_commodity_interface_limit: 1e12
       performance_parameters:
-        system_model_source: pysam
         chemistry: LFPGraphite
         demand_profile: 330000  # 330 MW
       cost_parameters:
         cost_year: 2022
-        commodity_units: kW
         energy_capex: 246  # $/kWh from 2024 ATB year 2025
         power_capex: 317  # $/kW from 2024 ATB year 2025
         opex_fraction: 0.02536510376633359
+      control_parameters:
+        n_control_window: 24
+        system_commodity_interface_limit: 1e12
   oae:
     performance_model:
       model: OAEPerformanceModel

diff --git a/examples/12_ammonia_synloop/tech_config.yaml b/examples/12_ammonia_synloop/tech_config.yaml
@@ -60,10 +60,7 @@ technologies:
     dispatch_rule_set:
       model: PyomoDispatchGenericConverter
     model_inputs:
-      performance_parameters:
-        commodity: electricity
-        commodity_rate_units: kW
-      dispatch_rule_parameters:
+      shared_parameters:
         commodity: electricity
         commodity_rate_units: kW
   battery:
@@ -81,20 +78,20 @@ technologies:
         commodity_rate_units: kW
         max_charge_rate: 96.0  # kW
         max_capacity: 96.0  # kWh
-        n_control_window: 24
         init_soc_fraction: 0.9
         max_soc_fraction: 1.0
         min_soc_fraction: 0.2
-        system_commodity_interface_limit: 1e12
       performance_parameters:
-        system_model_source: pysam
         chemistry: LFPGraphite
         demand_profile: 640000  # 640 MW
       cost_parameters:
         cost_year: 2019
         energy_capex: 310  # $/kWh from 2024 ATB year 2025
         power_capex: 311  # $/kW from 2024 ATB year 2025
         opex_fraction: 0.025
+      control_parameters:
+        n_control_window: 24
+        system_commodity_interface_limit: 1e12
   electrolyzer:
     performance_model:
       model: ECOElectrolyzerPerformanceModel
@@ -127,13 +124,13 @@ technologies:
       shared_parameters:
         commodity: hydrogen
         commodity_rate_units: kg/h
+        commodity_amount_units: kg
         set_demand_as_avg_commodity_in: true
       performance_parameters:
         min_soc_fraction: 0.0
         max_soc_fraction: 1.0
         charge_efficiency: 1.0
         discharge_efficiency: 1.0
-        commodity_amount_units: kg
       cost_parameters:
         # since the storage is being auto-sized by the performance model,
         # we set the sizing mode to 'auto' rather than defining the capacities

diff --git a/examples/18_pyomo_heuristic_dispatch/tech_config.yaml b/examples/18_pyomo_heuristic_dispatch/tech_config.yaml
@@ -48,17 +48,17 @@ technologies:
         commodity_rate_units: kW
         max_charge_rate: 100000
         max_capacity: 500000
-        n_control_window: 24
         init_soc_fraction: 0.5
         max_soc_fraction: 0.9
         min_soc_fraction: 0.1
-        system_commodity_interface_limit: 1e12
       performance_parameters:
-        system_model_source: pysam
         chemistry: LFPGraphite
         demand_profile: 50000  # 50 MW
       cost_parameters:
         cost_year: 2022
         energy_capex: 310  # $/kWh from 2024 ATB year 2025
         power_capex: 311  # $/kW from 2024 ATB year 2025
         opex_fraction: 0.25  # 0.25% of capex per year from 2024 ATB
+      control_parameters:
+        n_control_window: 24
+        system_commodity_interface_limit: 1e12
diff --git a/examples/30_pyomo_optimized_dispatch/tech_config.yaml b/examples/30_pyomo_optimized_dispatch/tech_config.yaml
@@ -43,19 +43,13 @@ technologies:
       model: ATBBatteryCostModel
     model_inputs:
       shared_parameters:
-        commodity: electricity
         max_charge_rate: 100000
         max_capacity: 400000
         init_soc_fraction: 0.5  # Initial SOC for the storage
         max_soc_fraction: 0.9  # Maximum SOC allowable for the storage technology
         min_soc_fraction: 0.1  # Minimum SOC allowable for the storage technology
-        system_commodity_interface_limit: 1e12
-        charge_efficiency: 0.95  # Charge efficiency of the storage technology
-        discharge_efficiency: 0.95  # Discharge efficiency of the storage technology
         commodity_rate_units: kW
-        # rated_demand: 100000  # in kW
       performance_parameters:
-        system_model_source: pysam
         chemistry: LFPGraphite
         demand_profile: 100000  # 100 MW
       cost_parameters:
@@ -64,9 +58,13 @@ technologies:
         power_capex: 311  # $/kW from 2024 ATB year 2025
         opex_fraction: 0.25  # 0.25% of capex per year from 2024 ATB
       control_parameters:
+        commodity: electricity
+        charge_efficiency: 0.95  # Charge efficiency of the storage technology
+        discharge_efficiency: 0.95  # Discharge efficiency of the storage technology
         cost_per_charge: 0.03  # in $/kW, cost to charge the storage (note that charging is incentivized)
         cost_per_discharge: 0.05  # in $/kW, cost to discharge the storage
         commodity_met_value: 0.1  # in $/kW, penalty for not meeting the desired load demand
         cost_per_production: 0.0  # in $/kW, cost to use the incoming produced commodity (i.e. electricity from wind)
         time_weighting_factor: 0.995  # This parameter discounts each subsequent time step incrementally in the future in the horizon window by this amount
         n_control_window: 24  # in timesteps (currently hours), The length of time that the control is applied to in the rolling window optimization
+        system_commodity_interface_limit: 1e12
diff --git a/h2integrate/converters/hopp/hopp_wrapper.py b/h2integrate/converters/hopp/hopp_wrapper.py
@@ -37,7 +37,7 @@ def initialize(self):
     def setup(self):
         self.config = HOPPComponentModelConfig.from_dict(
             merge_shared_inputs(self.options["tech_config"]["model_inputs"], "performance"),
-            strict=False,
+            strict=True,
             additional_cls_name=self.__class__.__name__,
         )
 

diff --git a/h2integrate/converters/iron/iron_dri_base.py b/h2integrate/converters/iron/iron_dri_base.py
@@ -327,7 +327,7 @@ def setup(self):
 
         self.config = IronReductionCostBaseConfig.from_dict(
             config_dict,
-            strict=False,
+            strict=True,
             additional_cls_name=self.__class__.__name__,
         )
 

diff --git a/h2integrate/converters/iron/iron_transport.py b/h2integrate/converters/iron/iron_transport.py
@@ -37,7 +37,7 @@ def initialize(self):
     def setup(self):
         self.config = IronTransportPerformanceConfig.from_dict(
             merge_shared_inputs(self.options["tech_config"]["model_inputs"], "performance"),
-            strict=False,
+            strict=True,
             additional_cls_name=self.__class__.__name__,
         )
         self.add_output("land_transport_distance", val=0.0, units="km")

diff --git a/h2integrate/converters/solar/solar_pysam.py b/h2integrate/converters/solar/solar_pysam.py
@@ -147,7 +147,7 @@ def setup(self):
 
         self.design_config = PYSAMSolarPlantPerformanceModelDesignConfig.from_dict(
             merge_shared_inputs(self.options["tech_config"]["model_inputs"], "performance"),
-            strict=False,
+            strict=True,
             additional_cls_name=self.__class__.__name__,
         )
         self.add_input(

diff --git a/h2integrate/converters/steel/steel_eaf_base.py b/h2integrate/converters/steel/steel_eaf_base.py
@@ -332,7 +332,7 @@ def setup(self):
 
         self.config = ElectricArcFurnaceCostBaseConfig.from_dict(
             config_dict,
-            strict=False,
+            strict=True,
             additional_cls_name=self.__class__.__name__,
         )