diff --git a/docs/technology_models/h2_htse.md b/docs/technology_models/h2_htse.md
new file mode 100644
index 000000000..02afcc418
--- /dev/null
+++ b/docs/technology_models/h2_htse.md
@@ -0,0 +1,177 @@
+# High-Temperature Steam Electrolysis (HTSE) Model
+
+The HTSE model in H2Integrate represents hydrogen production from high-temperature steam electrolysis using electricity and thermal input. It is implemented as two components:
+
+- `HTSEPerformanceModel`
+- `HTSECostModel`
+
+The performance model converts electricity and heat into hydrogen, water demand, and operating signals for connected technologies. The cost model computes installed capital cost and fixed operating cost from installed HTSE size.
+
+## Model Overview
+
+This is a simplified HTSE representation with constant nominal specific energy requirements:
+
+- `nominal_electricity_required` in `kWh/kg`
+- `nominal_heat_required` in `kWh/kg`
+
+At each timestep, hydrogen production is determined from:
+
+- installed HTSE size
+- available `electricity_in`
+- available `heat_in`
+- optional `hydrogen_command_value` when system-level control is enabled
+- turndown behavior
+
+The model also exposes internal operating signals that are useful for coupled systems, including:
+
+- `heat_demand`
+- `electricity_demand`
+- `electricity_consumed`
+- `water_demand`
+
+```{note}
+The current implementation uses `electricity_demand` to report installed electrical demand equal to nameplate size, while `electricity_consumed` reports the timestep electricity required by the energy balance. For coupled analyses, `electricity_consumed` is the more literal consumption signal.
+```
+
+## Performance Model
+
+Use this model by setting:
+
+- performance model: `HTSEPerformanceModel`
+
+The HTSE performance model inherits from the electrolyzer base classes, so it is treated as a hydrogen-producing, dispatchable technology with an `electricity_in` input and a `hydrogen_out` output.
+
+```{figure} images/HTSE.png
+:alt: HTSE schematic
+:width: 100%
+:align: center
+```
+
+### Performance configuration parameters
+
+These are read from `performance_parameters` and `shared_parameters`.
+
+| Key | Type | Units | Description |
+| --- | --- | --- | --- |
+| `n_clusters` | int | unitless | Number of HTSE clusters. |
+| `cluster_rating_MW` | float | MW | Nameplate electrical rating per cluster. |
+| `nominal_heat_required` | float | kWh/kg | Nominal thermal energy required per kg of hydrogen. |
+| `nominal_electricity_required` | float | kWh/kg | Nominal electrical energy required per kg of hydrogen. |
+| `turndown_ratio` | float | unitless | Minimum fraction of rated hydrogen production required to stay on. |
+| `location` | str | n/a | `onshore` or `offshore`. Present in config but not used directly in the current performance calculation. |
+| `eol_eff_percent_loss` | float | percent | End-of-life efficiency loss setting. Present in config but not used directly in the current timestep energy balance. |
+| `uptime_hours_until_eol` | int | h | Hours of operation between replacement events. |
+| `include_degradation_penalty` | bool | n/a | Present in config but not used directly in the current timestep energy balance. |
+| `pressure_H2` | float | n/a | Hydrogen pressure setting. Present in config but not used directly in the current timestep energy balance. |
+| `size_mode` | str | n/a | Optional resizing mode inherited from the resizeable performance base class. |
+| `flow_used_for_sizing` | str | n/a | Required for non-default sizing modes. |
+| `max_feedstock_ratio` | float | unitless | Used when `size_mode = resize_by_max_feedstock`. |
+| `max_commodity_ratio` | float | unitless | Used when `size_mode = resize_by_max_commodity`. |
+
+### Performance inputs
+
+| Name | Shape | Units | Description |
+| --- | --- | --- | --- |
+| `electricity_in` | array[n_timesteps] | kW | Available electrical input. Added by the electrolyzer base class. |
+| `heat_in` | array[n_timesteps] | kW | Available thermal input. |
+| `n_clusters` | scalar | unitless | Number of HTSE clusters used to determine installed size. |
+| `cluster_size` | scalar | MW | Declared input in the component. Currently not used in the timestep calculation. |
+| `max_hydrogen_capacity` | scalar | kg/h | Used in resize-by-commodity sizing mode. |
+| `hydrogen_command_value` | array[n_timesteps] | kg/h | Optional hydrogen demand signal when `system_level_control` is enabled. |
+| `max_feedstock_ratio` | scalar | unitless | Inherited optional resize input. |
+| `max_commodity_ratio` | scalar | unitless | Inherited optional resize input. |
+
+### Performance outputs
+
+| Name | Shape | Units | Description |
+| --- | --- | --- | --- |
+| `hydrogen_out` | array[n_timesteps] | kg/h | Hydrogen production. |
+| `rated_hydrogen_production` | scalar | kg/h | Rated hydrogen output based on installed electrical size and `nominal_electricity_required`. |
+| `total_hydrogen_produced` | scalar | kg | Hydrogen produced over the simulated period. |
+| `annual_hydrogen_produced` | array[plant_life] | kg/year | Annualized hydrogen production repeated across plant life. |
+| `capacity_factor` | array[plant_life] | unitless | Simulated production relative to rated production. |
+| `electrolyzer_size_mw` | scalar | MW | Installed HTSE electrical nameplate size. |
+| `heat_demand` | array[n_timesteps] | kW | Requested HTSE thermal demand based on hydrogen demand. |
+| `electricity_demand` | array[n_timesteps] | kW | Reported electrical demand signal. In the current implementation this is set to installed electrical size in kW. |
+| `electricity_consumed` | array[n_timesteps] | kW | Electricity required by the current energy balance calculation. |
+| `water_demand` | array[n_timesteps] | kg/h | Water consumption based on hydrogen production stoichiometry. |
+| `efficiency` | scalar | unitless | Mean ratio of utilized input energy to available input energy over the simulation. |
+| `replacement_schedule` | array[plant_life] | unitless | Replacement events derived from `uptime_hours_until_eol`. |
+| `time_until_replacement` | scalar | h | Hours until replacement. |
+
+### Dispatch and sizing behavior
+
+Installed size is first inferred from:
+
+$$
+\text{electrolyzer\_size\_mw} = n_{clusters} \times cluster\_rating\_MW
+$$
+
+The model supports additional sizing modes inherited from the resizeable performance base class:
+
+- `normal`
+- `resize_by_max_feedstock`
+- `resize_by_max_commodity`
+
+In the current implementation:
+
+- `resize_by_max_feedstock` supports sizing from `electricity`
+- `resize_by_max_commodity` supports sizing from `hydrogen`
+
+When system-level control is enabled, hydrogen demand is taken from `hydrogen_command_value`. Otherwise, the model assumes demand equal to rated hydrogen production implied by installed electrical size.
+
+### Energy balance behavior
+
+The model forms:
+
+$$
+\text{total\_specific\_energy} = nominal\_heat\_required + nominal\_electricity\_required
+$$
+
+and computes a nominal heat-to-electricity ratio:
+
+$$
+\text{ratio\_heat\_elec\_nom} = \frac{nominal\_heat\_required}{nominal\_electricity\_required}
+$$
+
+Available heat is used first up to the requested `heat_demand`. The remaining required energy is supplied electrically when possible. Hydrogen production is then limited by the combined energy available and by the turndown threshold.
+
+```{note}
+The current implementation is intentionally simple and should be interpreted as a reduced-order plant representation, not a detailed SOEC stack model with thermal transients, degradation coupling, startup dynamics, or detailed balance-of-plant behavior.
+```
+
+## Cost Model
+
+Use this model by setting:
+
+- cost model: `HTSECostModel`
+
+The cost model is size-based and currently depends only on installed HTSE size.
+
+### Cost configuration parameters
+
+| Key | Type | Units | Description |
+| --- | --- | --- | --- |
+| `unit_capex` | float | USD/kW | Installed capital cost per kW of HTSE electrical size. |
+| `fixed_opex` | float, optional | USD/(kW*year) | Fixed annual operating cost per kW. |
+| `fixed_capex` | float, optional | USD/(kW*year) | Fallback value used to populate `fixed_opex` if `fixed_opex` is omitted. |
+| `cost_year` | int | year | Dollar year of the cost inputs. Defaults to `2025`. |
+
+### Cost inputs
+
+| Name | Shape | Units | Description |
+| --- | --- | --- | --- |
+| `electrolyzer_size_mw` | scalar | MW | Installed HTSE size from the performance model. |
+| `total_hydrogen_produced` | scalar | kg | Added by the electrolyzer cost base class, but not used directly in the current HTSE cost calculation. |
+| `electricity_in` | array[n_timesteps] | kW | Added by the electrolyzer cost base class, but not used directly in the current HTSE cost calculation. |
+
+### Cost outputs
+
+| Name | Shape | Units | Description |
+| --- | --- | --- | --- |
+| `CapEx` | scalar | USD | `unit_capex * electrolyzer_size_kw` |
+| `OpEx` | scalar | USD/year | `fixed_opex * electrolyzer_size_kw` |
+| `VarOpEx` | array[plant_life] | USD/year | Inherited base output. The current model does not set a nonzero variable operating cost. |
+| `cost_year` | scalar | year | Cost dollar year. |
+
+
diff --git a/docs/technology_models/images/HTSE.png b/docs/technology_models/images/HTSE.png
new file mode 100644
index 000000000..ab8ccfdad
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diff --git a/docs/technology_models/images/ThermalNucReactor-H2I.png b/docs/technology_models/images/ThermalNucReactor-H2I.png
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diff --git a/docs/technology_models/nuclear.md b/docs/technology_models/nuclear.md
index 694e17e23..56a3b289b 100644
--- a/docs/technology_models/nuclear.md
+++ b/docs/technology_models/nuclear.md
@@ -1,83 +1,81 @@
-# Nuclear power plant model
+# Nuclear power plant models
-The nuclear power plant model provides a simple, size-based performance model and a type-based cost model.
-Cost defaults are intended to be populated from literature, such as Quinn et al. (2023) on SMR LWR techno-economic analysis.
-See the paper here: [Quinn et al. (2023)](#references).
+H2Integrate currently includes two nuclear converter options:
-To use this model, set the performance model to `QuinnNuclearPerformanceModel` and the cost model to `QuinnNuclearCostModel` in your `tech_config`.
+- `QuinnNuclearPerformanceModel` with `QuinnNuclearCostModel` for a simple electricity-only nuclear plant
+- `SimpleThermalNuclearReactorPerformanceModel` with `SimpleThermalNuclearReactorCostModel` for a thermal reactor that can trade off electricity production and process heat delivery
-## Performance model
+The first model is based on Quinn et al. (2023). The second is a simplified thermal reactor representation intended for coupled workflows such as nuclear plus HTSE.
-The performance model limits electricity production by the rated capacity and an optional demand signal.
+## Quinn electricity-only nuclear model
+
+Use this model by setting:
+
+- performance model: `QuinnNuclearPerformanceModel`
+- cost model: `QuinnNuclearCostModel`
+
+### Performance behavior
+
+This model produces electricity only. It clips the commanded electricity output to the rated plant capacity and reports aggregate production metrics.
**Inputs**
+
| Name | Shape | Units | Description |
| --- | --- | --- | --- |
| `system_capacity` | scalar | kW | Rated electrical capacity. |
-| `electricity_set_point` | array[n_timesteps] | kW | Optional set point profile; defaults to rated capacity. |
+| `electricity_command_value` | array[n_timesteps] | kW | Requested electrical output profile. Defaults to `system_capacity`. |
**Outputs**
+
| Name | Shape | Units | Description |
| --- | --- | --- | --- |
-| `electricity_out` | array[n_timesteps] | kW | Electricity produced, capped at `system_capacity`. |
-| `rated_electricity_production` | scalar | kW | Rated production (capacity). |
-| `total_electricity_produced` | scalar | kW*h | Sum of production over the simulation. |
-| `annual_electricity_produced` | array[plant_life] | kW*h/year | Annualized production. |
-| `capacity_factor` | array[plant_life] | unitless | Ratio of actual to maximum production. |
-| `replacement_schedule` | array[plant_life] | unitless | Placeholder replacement schedule (zeros). |
-| `operational_life` | scalar | yr | Operational life (defaults to plant life). |
+| `electricity_out` | array[n_timesteps] | kW | Electricity output after clipping to capacity. |
+| `rated_electricity_production` | scalar | kW | Rated plant capacity. |
+| `total_electricity_produced` | scalar | kW*h | Electricity produced over the simulated period. |
+| `annual_electricity_produced` | scalar | kW*h/year | Annualized electricity production. |
+| `capacity_factor` | scalar | unitless | Simulated production divided by maximum possible production. |
-## Cost model
+### Cost behavior
-The cost model uses direct cost parameters to compute capital and operating costs.
-It supports optional scaling of capex with size using a reference capacity and scaling exponent.
+The cost model applies:
-**Inputs**
-| Name | Shape | Units | Description |
-| --- | --- | --- | --- |
-| `system_capacity` | scalar | kW | Plant capacity used for cost scaling. |
-| `electricity_out` | array[n_timesteps] | kW | Output from performance model. |
+- capital cost from `capex_per_kw`
+- fixed O&M from `fixed_opex_per_kw_year`
+- variable O&M from `variable_opex_per_mwh`
+- optional capex scaling using `reference_capacity_kw` and `capex_scaling_exponent`
+
+**Cost parameters**
-**Cost parameters (tech_config)**
| Key | Type | Description |
| --- | --- | --- |
-| `system_capacity_kw` | float | Rated electrical capacity (kW). |
-| `capex_per_kw` | float | Capital cost per kW. |
-| `fixed_opex_per_kw_year` | float | Fixed O&M per kW per year. |
-| `variable_opex_per_mwh` | float | Variable O&M per MWh. |
-| `reference_capacity_kw` | float | Reference capacity for capex scaling (defaults to `system_capacity_kw`). |
-| `capex_scaling_exponent` | float | Capex scaling exponent (defaults to 1.0). |
-| `cost_year` | int | Dollar year for the input costs. |
-
-The capex calculation follows:
-
-$$
-C_{\text{capex}} = (c_{\text{capex}} \cdot (P / P_{\text{ref}})^{(k-1)}) \cdot P
-$$
-
-Where $c_{\text{capex}}$ is `capex_per_kw`, $P$ is plant capacity (kW), $P_{\text{ref}}$ is `reference_capacity_kw`, and $k$ is `capex_scaling_exponent`.
+| `system_capacity_kw` | float | Rated electrical capacity in kW. |
+| `capex_per_kw` | float | Capital cost in USD/kW. |
+| `fixed_opex_per_kw_year` | float | Fixed O&M in USD/(kW*year). |
+| `variable_opex_per_mwh` | float | Variable O&M in USD/MWh. |
+| `reference_capacity_kw` | float, optional | Reference capacity for capex scaling. Defaults to `system_capacity_kw`. |
+| `capex_scaling_exponent` | float | Scaling exponent applied to capex. Defaults to `1.0`. |
+| `cost_year` | int | Dollar year of the cost inputs. |
**Outputs**
+
| Name | Shape | Units | Description |
| --- | --- | --- | --- |
-| `CapEx` | scalar | USD | Total capital expenditure. |
-| `OpEx` | scalar | USD/year | Fixed plus variable O&M. |
-| `VarOpEx` | array[plant_life] | USD/year | Variable O&M (repeated each year). |
-| `cost_year` | scalar | year | Dollar year of costs. |
+| `CapEx` | scalar | USD | Total capital cost. |
+| `OpEx` | scalar | USD/year | Fixed annual O&M. |
+| `VarOpEx` | array[plant_life] | USD/year | Variable annual O&M repeated across plant life. |
-## Example tech_config
+### Example `tech_config`
```yaml
technologies:
nuclear:
performance_model:
- model: "QuinnNuclearPerformanceModel"
+ model: QuinnNuclearPerformanceModel
cost_model:
- model: "QuinnNuclearCostModel"
+ model: QuinnNuclearCostModel
model_inputs:
performance_parameters:
system_capacity_kw: 300000.0
- capacity_factor: 0.9
cost_parameters:
system_capacity_kw: 450000.0
capex_per_kw: 6000.0
@@ -88,6 +86,7 @@ technologies:
cost_year: 2023
```
+
## References
- Quinn, J. et al., 2023. Small modular reactor light water reactor techno-economic analysis. Applied Energy 120669. https://doi.org/10.1016/j.apenergy.2023.120669
diff --git a/docs/technology_models/nuclear_thermal.md b/docs/technology_models/nuclear_thermal.md
new file mode 100644
index 000000000..1ae860599
--- /dev/null
+++ b/docs/technology_models/nuclear_thermal.md
@@ -0,0 +1,90 @@
+## Simple thermal nuclear reactor model
+
+Use this model by setting:
+
+- performance model: `SimpleThermalNuclearReactorPerformanceModel`
+- cost model: `SimpleThermalNuclearReactorCostModel`
+
+This model represents a reactor with:
+
+- a high-pressure electric conversion stage
+- a low-pressure electric conversion stage
+- an extractable process heat stream, extracted upstream of the low-pressure turbine stages
+
+It supports two operating modes:
+
+- `heat`: satisfy heat demand first, then convert remaining low-pressure heat to electricity
+- `electricity`: satisfy the electricity command first, then send the remaining available heat
+
+```{figure} images/ThermalNucReactor-H2I.png
+:alt: Thermal nuclear reactor schematic
+:width: 100%
+:align: center
+```
+
+### Performance inputs
+
+The performance config is built from `performance_parameters` and shared inputs from `shared_parameters`.
+
+| Name | Source | Units | Description |
+| --- | --- | --- | --- |
+| `operating_mode` | `performance_parameters` | n/a | Must be `heat` or `electricity`. |
+| `electricity_command_value` | `performance_parameters` | kW | Requested electrical output. Added as a time-series input named `electricity_command_value`. |
+| `high_pressure_electrical_efficiency` | `performance_parameters` | unitless | Fraction of total thermal input converted in the high-pressure stage. |
+| `low_pressure_electrical_efficiency` | `performance_parameters` | unitless | Efficiency applied to remaining low-pressure heat when generating electricity. |
+| `minimum_heat_extract` | `performance_parameters` | kW | Minimum process heat reserved for extraction. Defaults to `0.0`. |
+| `rated_capacity` | `shared_parameters` | kW | Rated electrical capacity used to infer reactor thermal capacity. |
+| `heat_command_value` | runtime input | kW | Downstream process heat request. Defaults to `6400` if not connected. |
+
+### Performance outputs
+
+| Name | Shape | Units | Description |
+| --- | --- | --- | --- |
+| `electricity_out` | array[n_timesteps] | kW | Electrical output of the nuclear system. |
+| `heat_out` | array[n_timesteps] | kW | Delivered process heat. |
+| `high_pressure_heat_demanded` | array[n_timesteps] | kW | Requested heat after applying `minimum_heat_extract`. |
+| `high_pressure_heat` | array[n_timesteps] | kW | Available process heat stream before low-pressure electric conversion. |
+| `low_pressure_heat` | array[n_timesteps] | kW | Remaining unused low-pressure heat after dispatch. |
+| `rated_electricity_production` | scalar | kW | Rated electrical production. |
+| `total_electricity_produced` | scalar | kW*h | Electricity produced over the simulated period. |
+| `annual_electricity_produced` | array[plant_life] | kW*h/year | Annualized electricity production repeated across plant life. |
+| `capacity_factor` | array[plant_life] | unitless | Electrical capacity factor, likely below nominal fleet values. |
+| `replacement_schedule` | array[plant_life] | unitless | Currently zeros. |
+
+### Thermal reactor dispatch logic
+
+The model computes a combined electric efficiency:
+
+$$
+\eta_{combined} = \eta_{hp} + (1 - \eta_{hp}) \eta_{lp}
+$$
+
+Then infers thermal capacity from rated electrical capacity:
+
+$$
+P_{thermal} = \frac{P_{electric,rated}}{\eta_{combined}}
+$$
+
+In `heat` mode, delivered heat is limited by available process heat and the requested heat demand. Remaining low-pressure heat is converted to electricity.
+
+In `electricity` mode, electricity is limited by the command value and rated capacity. Remaining process heat is then sent as `heat_out`.
+
+### Thermal reactor cost model
+
+The thermal reactor cost model uses direct capacity-based cost inputs and computes variable O&M from delivered electricity.
+
+| Key | Source | Units | Description |
+| --- | --- | --- | --- |
+| `rated_capacity` | `shared_parameters` | kW | Rated capacity used for cost calculations. |
+| `nuclear_reactor_upfront_cost` | `cost_parameters` | USD/kW | Capital cost per kW. |
+| `nuclear_reactor_fixed_om_cost` | `cost_parameters` | USD/(kW*year) | Fixed annual O&M. |
+| `nuclear_reactor_variable_om_cost` | `cost_parameters` | USD/(kW*h) | Variable O&M applied to simulated electricity production. |
+| `cost_year` | `cost_parameters` | year | Optional cost year, default `2025`. |
+
+**Outputs**
+
+| Name | Shape | Units | Description |
+| --- | --- | --- | --- |
+| `CapEx` | scalar | USD | `rated_capacity * nuclear_reactor_upfront_cost` |
+| `OpEx` | scalar | USD/year | `rated_capacity * nuclear_reactor_fixed_om_cost` |
+| `VarOpEx` | array[plant_life] | USD/year | Variable O&M from simulated electricity output, repeated across plant life. |
diff --git a/examples/24_solar_battery_grid/tech_config.yaml b/examples/24_solar_battery_grid/tech_config.yaml
index 969cfbf63..6ae8fd0c7 100644
--- a/examples/24_solar_battery_grid/tech_config.yaml
+++ b/examples/24_solar_battery_grid/tech_config.yaml
@@ -35,7 +35,7 @@ technologies:
cost_model:
model: ATBBatteryCostModel
control_strategy:
- model: DemandOpenLoopStorageController
+ model: SimpleStorageOpenLoopController
model_inputs:
shared_parameters:
commodity: electricity
diff --git a/examples/99_nuclear_reactor_htse/driver_config.yaml b/examples/99_nuclear_reactor_htse/driver_config.yaml
new file mode 100644
index 000000000..edf1a9391
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/driver_config.yaml
@@ -0,0 +1,52 @@
+name: driver_config
+description: Runs a thermal nuclear plant with simple optimization
+general:
+ folder_output: nuclear_thermal_plant
+### Use This For Parameter Sweep
+# driver:
+# design_of_experiments:
+# flag: true
+# generator: "FullFact" #type of generator to use
+# levels: 3 # input is specific to this generator
+# debug_print: true
+driver:
+ optimization:
+ flag: false
+ solver: COBYLA
+ tol: 0.1
+ catol: 100000
+ max_iter: 100
+ rhobeg: 0.1
+ disp: 3
+ debug_print: true
+design_variables:
+ nuclear:
+ electricity_command_value:
+ flag: true
+ lower: 1000
+ upper: 500000
+ units: kW
+ htse:
+ n_clusters:
+ flag: true
+ lower: 2.0
+ upper: 40.0
+ units: unitless
+# Add constraints later to the code
+# constraints:
+ # nuclear:
+ # electricity_out:
+ # flag: true
+ # upper: 5000.0
+ # units: MW
+ # ramping_rate:
+ # flag: true
+ # upper: 500
+ # units: kW/hr
+ # electrolyzer:
+ # total_hydrogen_produced:
+ # flag: false
+ # lower: 60500000.
+ # units: kg/year
+objective:
+ name: finance_subgroup_hydrogen.LCOH
diff --git a/examples/99_nuclear_reactor_htse/gitcheckdoc.txt b/examples/99_nuclear_reactor_htse/gitcheckdoc.txt
new file mode 100644
index 000000000..dfd1d580d
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/gitcheckdoc.txt
@@ -0,0 +1 @@
+gonna check about git.
\ No newline at end of file
diff --git a/examples/99_nuclear_reactor_htse/nuclear_example_output.html b/examples/99_nuclear_reactor_htse/nuclear_example_output.html
new file mode 100644
index 000000000..4848fc399
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/nuclear_example_output.html
@@ -0,0 +1,3888 @@
+
+
+
+
+
+
\ No newline at end of file
diff --git a/examples/99_nuclear_reactor_htse/nuclear_example_output.svg b/examples/99_nuclear_reactor_htse/nuclear_example_output.svg
new file mode 100644
index 000000000..e5e1ebebf
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/nuclear_example_output.svg
@@ -0,0 +1 @@
+
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diff --git a/examples/99_nuclear_reactor_htse/nuclear_reactor_example.ipynb b/examples/99_nuclear_reactor_htse/nuclear_reactor_example.ipynb
new file mode 100644
index 000000000..732668114
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/nuclear_reactor_example.ipynb
@@ -0,0 +1,1893 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "0b2733b8-9d16-4424-8b98-c03a7ac006a9",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Requirement already satisfied: kaleido in C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages (1.3.0)\n",
+ "Requirement already satisfied: choreographer>=1.3.0 in C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages (from kaleido) (1.3.0)\n",
+ "Requirement already satisfied: logistro>=1.0.8 in C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages (from kaleido) (2.0.1)\n",
+ "Requirement already satisfied: orjson>=3.10.15 in C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages (from kaleido) (3.11.9)\n",
+ "Requirement already satisfied: packaging in C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages (from kaleido) (26.2)\n",
+ "Requirement already satisfied: platformdirs>=4.3.6 in C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages (from choreographer>=1.3.0->kaleido) (4.9.6)\n",
+ "Requirement already satisfied: simplejson>=3.19.3 in C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages (from choreographer>=1.3.0->kaleido) (4.1.1)\n",
+ "Note: you may need to restart the kernel to use updated packages.\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Run First Time Only To Install Packages and Restart Kernel\n",
+ "# %pip install openmdao[doe]\n",
+ "# %pip install pyDOE3\n",
+ "%pip install kaleido\n",
+ "# I've had to add the following lines for some reason, possibly because I have a conda install\n",
+ "# setup elsewhere? But that doesn't really make a lot of sense.\n",
+ "# %pip install matplotlib\n",
+ "# %pip install requests-cache\n",
+ "# %pip install openmeteo-requests\n",
+ "# %pip install retry_requests\n",
+ "# %pip install orbit-nrel\n",
+ "# %pip install rich\n",
+ "# %pip install wombat\n",
+ "# %pip install CoolProp\n",
+ "# %pip install ruamel.yaml\n",
+ "# %pip install numpy_financial\n",
+ "# %pip install pandas\n",
+ "# %pip install dill\n",
+ "# %pip install ProFAST\n",
+ "# %pip install floris\n",
+ "# %pip install nrel-pysam\n",
+ "# %pip install hopp\n",
+ "# %pip install geopy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "25e0132b-8197-4667-8c54-4d0627392412",
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "=====\n",
+ "plant\n",
+ "=====\n",
+ "NL: NLBGSSolver 'NL: NLBGS' on system 'plant': residuals contain 'inf' or 'NaN' after 2 iterations.\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\MIKKDM\\Documents\\H2Integrate\\NucH2INtegrate\\h2integrate\\core\\pose_optimization.py:338: UserWarning: Design variables are set to be optimized or studied, but no driver is selected. If you want to run an optimization, please enable a driver.\n",
+ " warnings.warn(\n",
+ "C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages\\openmdao\\core\\group.py:1197: DerivativesWarning:Constraints or objectives [plant.finance_subgroup_hydrogen.hydrogen_finance_profast_model.LCOH] cannot be impacted by the design variables of the problem because no partials were defined for them in their parent component(s).\n",
+ "C:\\Users\\MIKKDM\\AppData\\Local\\miniconda3\\envs\\h2integrate\\Lib\\site-packages\\openmdao\\utils\\relevance.py:1296: OpenMDAOWarning:The following groups have a nonlinear solver that computes gradients and will be treated as atomic for the purposes of determining which systems are included in the optimization iteration: \n",
+ "plant\n",
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "65 explicit inputs:\n",
+ "
\n"
+ ],
+ "text/plain": [
+ "\n",
+ "\u001b[1;36m65\u001b[0m explicit inputs:\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ " ╷ ╷ ╷ ╷ \n",
+ " Variable │ Mean │ Units │ Shape │ Promoted name \n",
+ "╶────────────────────────────────────┼──────────────────┼─────────────┼───────┼───────────────────────────────────╴\n",
+ " plant │ │ │ │ \n",
+ " combiner │ │ │ │ \n",
+ " GenericCombinerPerformanceModel │ │ │ │ \n",
+ " hydrogen_in1 │ 0. │ kg/h │ 8760 │ combiner.hydrogen_in1 \n",
+ " rated_hydrogen_production1 │ 0. │ kg/h │ 1 │ combiner.rated_hydrogen_production \n",
+ " │ │ │ │ 1 \n",
+ " hydrogen_capacity_factor1 │ 0. │ unitless │ 30 │ combiner.hydrogen_capacity_factor1 \n",
+ " hydrogen_in2 │ 0. │ kg/h │ 8760 │ combiner.hydrogen_in2 \n",
+ " rated_hydrogen_production2 │ 0. │ kg/h │ 1 │ combiner.rated_hydrogen_production \n",
+ " │ │ │ │ 2 \n",
+ " hydrogen_capacity_factor2 │ 0. │ unitless │ 30 │ combiner.hydrogen_capacity_factor2 \n",
+ " finance_subgroup_electricity │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_nuclear │ 5,750,000,000. │ USD │ 1 │ finance_subgroup_electricity.capex \n",
+ " │ │ │ │ _nuclear \n",
+ " opex_nuclear │ 2,640,000. │ USD/year │ 1 │ finance_subgroup_electricity.opex_ \n",
+ " │ │ │ │ nuclear \n",
+ " varopex_nuclear │ 126,898,502.61 │ USD/year │ 30 │ finance_subgroup_electricity.varop \n",
+ " │ │ │ │ ex_nuclear \n",
+ " cost_year_nuclear │ 2,025. │ n/a │ n/a │ finance_subgroup_electricity.cost_ \n",
+ " │ │ │ │ year_nuclear \n",
+ " electricity_finance_profast_mod │ │ │ │ \n",
+ " el │ │ │ │ \n",
+ " rated_electricity_production │ 1,000,000. │ kW │ 1 │ finance_subgroup_electricity.rated \n",
+ " │ │ │ │ _electricity_production \n",
+ " capacity_factor │ 0.999 │ unitless │ 30 │ finance_subgroup_electricity.capac \n",
+ " │ │ │ │ ity_factor \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_electricity.capex \n",
+ " │ │ │ │ _adjusted_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_electricity.opex_ \n",
+ " │ │ │ │ adjusted_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_electricity.varop \n",
+ " │ │ │ │ ex_adjusted_nuclear \n",
+ " replacement_schedule_nuclear │ 0. │ unitless │ 30 │ finance_subgroup_electricity.repla \n",
+ " │ │ │ │ cement_schedule_nuclear \n",
+ " finance_subgroup_hydrogen │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_nuclear │ 5,750,000,000. │ USD │ 1 │ finance_subgroup_hydrogen.capex_nu \n",
+ " │ │ │ │ clear \n",
+ " opex_nuclear │ 2,640,000. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_nuc \n",
+ " │ │ │ │ lear \n",
+ " varopex_nuclear │ 126,898,502.61 │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ nuclear \n",
+ " capex_htse │ 32,375,000. │ USD │ 1 │ finance_subgroup_hydrogen.capex_ht \n",
+ " │ │ │ │ se \n",
+ " opex_htse │ 0. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_hts \n",
+ " │ │ │ │ e \n",
+ " varopex_htse │ 0. │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ htse \n",
+ " cost_year_nuclear │ 2,025. │ n/a │ n/a │ finance_subgroup_hydrogen.cost_yea \n",
+ " │ │ │ │ r_nuclear \n",
+ " cost_year_htse │ 2,025. │ n/a │ n/a │ finance_subgroup_hydrogen.cost_yea \n",
+ " │ │ │ │ r_htse \n",
+ " hydrogen_finance_profast_model │ │ │ │ \n",
+ " rated_hydrogen_production │ 679.3478 │ kg/h │ 1 │ finance_subgroup_hydrogen.rated_hy \n",
+ " │ │ │ │ drogen_production \n",
+ " capacity_factor │ 1. │ unitless │ 30 │ finance_subgroup_hydrogen.capacity \n",
+ " │ │ │ │ _factor \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_hydrogen.capex_ad \n",
+ " │ │ │ │ justed_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adj \n",
+ " │ │ │ │ usted_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ adjusted_nuclear \n",
+ " replacement_schedule_nuclear │ 0. │ unitless │ 30 │ finance_subgroup_hydrogen.replacem \n",
+ " │ │ │ │ ent_schedule_nuclear \n",
+ " capex_adjusted_htse │ 30,063,405.93 │ USD │ 1 │ finance_subgroup_hydrogen.capex_ad \n",
+ " │ │ │ │ justed_htse \n",
+ " opex_adjusted_htse │ 0. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adj \n",
+ " │ │ │ │ usted_htse \n",
+ " varopex_adjusted_htse │ 0. │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ adjusted_htse \n",
+ " replacement_schedule_htse │ 0.1 │ unitless │ 30 │ finance_subgroup_hydrogen.replacem \n",
+ " │ │ │ │ ent_schedule_htse \n",
+ " h2_storage │ │ │ │ \n",
+ " LinedRockCavernStorageCostModel │ │ │ │ \n",
+ " max_charge_rate │ 679.3478 │ kg/h │ 1 │ h2_storage.max_charge_rate \n",
+ " storage_capacity │ 0. │ kg │ 1 │ h2_storage.storage_capacity \n",
+ " hydrogen_in │ 679.3478 │ kg/h │ 8760 │ h2_storage.hydrogen_in \n",
+ " SimpleStorageOpenLoopController │ │ │ │ \n",
+ " hydrogen_in │ 679.3478 │ kg/h │ 8760 │ h2_storage.hydrogen_in \n",
+ " StorageAutoSizingModel │ │ │ │ \n",
+ " hydrogen_in │ 679.3478 │ kg/h │ 8760 │ h2_storage.hydrogen_in \n",
+ " hydrogen_set_point │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_set_point \n",
+ " hydrogen_command_value │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_command_value \n",
+ " htse │ │ │ │ \n",
+ " HTSECostModel │ │ │ │ \n",
+ " total_hydrogen_produced │ 5,951,086.96 │ kg │ 1 │ htse.total_hydrogen_produced \n",
+ " electricity_in │ 999,043.48 │ kW │ 8760 │ htse.electricity_in \n",
+ " HTSEPerformanceModel │ │ │ │ \n",
+ " electricity_in │ 999,043.48 │ kW │ 8760 │ htse.electricity_in \n",
+ " electrolyzer_size_mw │ 25. │ MW │ 1 │ htse.electrolyzer_size_mw \n",
+ " n_clusters │ 25. │ unitless │ 1 │ htse.n_clusters \n",
+ " heat_in │ 4,347.8261 │ kW │ 8760 │ htse.heat_in \n",
+ " cluster_size │ 1. │ MW │ 1 │ htse.cluster_size \n",
+ " max_hydrogen_capacity │ 1,000. │ kg/h │ 1 │ htse.max_hydrogen_capacity \n",
+ " size_mode │ n/a │ n/a │ n/a │ htse.size_mode \n",
+ " controller │ │ │ │ \n",
+ " hydrogen_set_point │ 1,000,000,000. │ kg/h │ 8760 │ htse.hydrogen_set_point \n",
+ " htse_to_h2_storage_pipe │ │ │ │ \n",
+ " hydrogen_in │ 0.1887 │ kg/s │ 8760 │ htse_to_h2_storage_pipe.hydrogen_i \n",
+ " │ │ │ │ n \n",
+ " nuclear │ │ │ │ \n",
+ " SimpleThermalNuclearReactorCost │ │ │ │ \n",
+ " Model │ │ │ │ \n",
+ " rated_capacity │ 1,000,000. │ kW │ 1 │ nuclear.rated_capacity \n",
+ " SimpleThermalNuclearReactorPerf │ │ │ │ \n",
+ " ormanceModel │ │ │ │ \n",
+ " rated_capacity │ 1,000,000. │ kW │ 1 │ nuclear.rated_capacity \n",
+ " nuclear_reactor_upfront_cost │ 5,750. │ USD/kW │ 1 │ nuclear.nuclear_reactor_upfront_co \n",
+ " │ │ │ │ st \n",
+ " nuclear_reactor_fixed_om_cost │ 2.64 │ USD/kW/year │ 1 │ nuclear.nuclear_reactor_fixed_om_c \n",
+ " │ │ │ │ ost \n",
+ " nuclear_reactor_variable_om_c │ 0.0145 │ USD/kW/h │ 1 │ nuclear.nuclear_reactor_variable_o \n",
+ " ost │ │ │ │ m_cost \n",
+ " electricity_out │ 999,043.48 │ kW │ 8760 │ nuclear.electricity_out \n",
+ " electricity_command_value │ 500,000. │ kW │ 8760 │ nuclear.electricity_command_value \n",
+ " high_pressure_electrical_effi │ 0.12 │ unitless │ 1 │ nuclear.high_pressure_electrical_e \n",
+ " ciency │ │ │ │ fficiency \n",
+ " low_pressure_electrical_effic │ 0.22 │ unitless │ 1 │ nuclear.low_pressure_electrical_ef \n",
+ " iency │ │ │ │ ficiency \n",
+ " minimum_heat_extract │ 1,000. │ kW │ 1 │ nuclear.minimum_heat_extract \n",
+ " heat_command_value │ 4,347.8261 │ kW │ 8760 │ nuclear.heat_command_value \n",
+ " operating_mode │ n/a │ n/a │ n/a │ nuclear.operating_mode \n",
+ " nuclear_to_htse_cable │ │ │ │ \n",
+ " electricity_in │ 999,043.48 │ kW │ 8760 │ nuclear_to_htse_cable.electricity_ \n",
+ " │ │ │ │ in \n",
+ " ╵ ╵ ╵ ╵ \n",
+ "
\n"
+ ],
+ "text/plain": [
+ " ╷ ╷ ╷ ╷ \n",
+ " \u001b[1mVariable \u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1m Mean\u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1mUnits \u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1mShape\u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1mPromoted name \u001b[0m \n",
+ "╶────────────────────────────────────┼──────────────────┼─────────────┼───────┼───────────────────────────────────╴\n",
+ " plant │ │ │ │ \n",
+ " combiner │ │ │ │ \n",
+ " GenericCombinerPerformanceModel │ │ │ │ \n",
+ " hydrogen_in1 │ 0. │ kg/h │ 8760 │ combiner.hydrogen_in1 \n",
+ " rated_hydrogen_production1 │ 0. │ kg/h │ 1 │ combiner.rated_hydrogen_production \n",
+ " │ │ │ │ 1 \n",
+ " hydrogen_capacity_factor1 │ 0. │ unitless │ 30 │ combiner.hydrogen_capacity_factor1 \n",
+ " hydrogen_in2 │ 0. │ kg/h │ 8760 │ combiner.hydrogen_in2 \n",
+ " rated_hydrogen_production2 │ 0. │ kg/h │ 1 │ combiner.rated_hydrogen_production \n",
+ " │ │ │ │ 2 \n",
+ " hydrogen_capacity_factor2 │ 0. │ unitless │ 30 │ combiner.hydrogen_capacity_factor2 \n",
+ " finance_subgroup_electricity │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_nuclear │ 5,750,000,000. │ USD │ 1 │ finance_subgroup_electricity.capex \n",
+ " │ │ │ │ _nuclear \n",
+ " opex_nuclear │ 2,640,000. │ USD/year │ 1 │ finance_subgroup_electricity.opex_ \n",
+ " │ │ │ │ nuclear \n",
+ " varopex_nuclear │ 126,898,502.61 │ USD/year │ 30 │ finance_subgroup_electricity.varop \n",
+ " │ │ │ │ ex_nuclear \n",
+ " cost_year_nuclear │ 2,025. │ n/a │ n/a │ finance_subgroup_electricity.cost_ \n",
+ " │ │ │ │ year_nuclear \n",
+ " electricity_finance_profast_mod │ │ │ │ \n",
+ " el │ │ │ │ \n",
+ " rated_electricity_production │ 1,000,000. │ kW │ 1 │ finance_subgroup_electricity.rated \n",
+ " │ │ │ │ _electricity_production \n",
+ " capacity_factor │ 0.999 │ unitless │ 30 │ finance_subgroup_electricity.capac \n",
+ " │ │ │ │ ity_factor \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_electricity.capex \n",
+ " │ │ │ │ _adjusted_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_electricity.opex_ \n",
+ " │ │ │ │ adjusted_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_electricity.varop \n",
+ " │ │ │ │ ex_adjusted_nuclear \n",
+ " replacement_schedule_nuclear │ 0. │ unitless │ 30 │ finance_subgroup_electricity.repla \n",
+ " │ │ │ │ cement_schedule_nuclear \n",
+ " finance_subgroup_hydrogen │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_nuclear │ 5,750,000,000. │ USD │ 1 │ finance_subgroup_hydrogen.capex_nu \n",
+ " │ │ │ │ clear \n",
+ " opex_nuclear │ 2,640,000. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_nuc \n",
+ " │ │ │ │ lear \n",
+ " varopex_nuclear │ 126,898,502.61 │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ nuclear \n",
+ " capex_htse │ 32,375,000. │ USD │ 1 │ finance_subgroup_hydrogen.capex_ht \n",
+ " │ │ │ │ se \n",
+ " opex_htse │ 0. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_hts \n",
+ " │ │ │ │ e \n",
+ " varopex_htse │ 0. │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ htse \n",
+ " cost_year_nuclear │ 2,025. │ n/a │ n/a │ finance_subgroup_hydrogen.cost_yea \n",
+ " │ │ │ │ r_nuclear \n",
+ " cost_year_htse │ 2,025. │ n/a │ n/a │ finance_subgroup_hydrogen.cost_yea \n",
+ " │ │ │ │ r_htse \n",
+ " hydrogen_finance_profast_model │ │ │ │ \n",
+ " rated_hydrogen_production │ 679.3478 │ kg/h │ 1 │ finance_subgroup_hydrogen.rated_hy \n",
+ " │ │ │ │ drogen_production \n",
+ " capacity_factor │ 1. │ unitless │ 30 │ finance_subgroup_hydrogen.capacity \n",
+ " │ │ │ │ _factor \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_hydrogen.capex_ad \n",
+ " │ │ │ │ justed_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adj \n",
+ " │ │ │ │ usted_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ adjusted_nuclear \n",
+ " replacement_schedule_nuclear │ 0. │ unitless │ 30 │ finance_subgroup_hydrogen.replacem \n",
+ " │ │ │ │ ent_schedule_nuclear \n",
+ " capex_adjusted_htse │ 30,063,405.93 │ USD │ 1 │ finance_subgroup_hydrogen.capex_ad \n",
+ " │ │ │ │ justed_htse \n",
+ " opex_adjusted_htse │ 0. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adj \n",
+ " │ │ │ │ usted_htse \n",
+ " varopex_adjusted_htse │ 0. │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ \n",
+ " │ │ │ │ adjusted_htse \n",
+ " replacement_schedule_htse │ 0.1 │ unitless │ 30 │ finance_subgroup_hydrogen.replacem \n",
+ " │ │ │ │ ent_schedule_htse \n",
+ " h2_storage │ │ │ │ \n",
+ " LinedRockCavernStorageCostModel │ │ │ │ \n",
+ " max_charge_rate │ 679.3478 │ kg/h │ 1 │ h2_storage.max_charge_rate \n",
+ " storage_capacity │ 0. │ kg │ 1 │ h2_storage.storage_capacity \n",
+ " hydrogen_in │ 679.3478 │ kg/h │ 8760 │ h2_storage.hydrogen_in \n",
+ " SimpleStorageOpenLoopController │ │ │ │ \n",
+ " hydrogen_in │ 679.3478 │ kg/h │ 8760 │ h2_storage.hydrogen_in \n",
+ " StorageAutoSizingModel │ │ │ │ \n",
+ " hydrogen_in │ 679.3478 │ kg/h │ 8760 │ h2_storage.hydrogen_in \n",
+ " hydrogen_set_point │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_set_point \n",
+ " hydrogen_command_value │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_command_value \n",
+ " htse │ │ │ │ \n",
+ " HTSECostModel │ │ │ │ \n",
+ " total_hydrogen_produced │ 5,951,086.96 │ kg │ 1 │ htse.total_hydrogen_produced \n",
+ " electricity_in │ 999,043.48 │ kW │ 8760 │ htse.electricity_in \n",
+ " HTSEPerformanceModel │ │ │ │ \n",
+ " electricity_in │ 999,043.48 │ kW │ 8760 │ htse.electricity_in \n",
+ " electrolyzer_size_mw │ 25. │ MW │ 1 │ htse.electrolyzer_size_mw \n",
+ " n_clusters │ 25. │ unitless │ 1 │ htse.n_clusters \n",
+ " heat_in │ 4,347.8261 │ kW │ 8760 │ htse.heat_in \n",
+ " cluster_size │ 1. │ MW │ 1 │ htse.cluster_size \n",
+ " max_hydrogen_capacity │ 1,000. │ kg/h │ 1 │ htse.max_hydrogen_capacity \n",
+ " size_mode │ n/a │ n/a │ n/a │ htse.size_mode \n",
+ " controller │ │ │ │ \n",
+ " hydrogen_set_point │ 1,000,000,000. │ kg/h │ 8760 │ htse.hydrogen_set_point \n",
+ " htse_to_h2_storage_pipe │ │ │ │ \n",
+ " hydrogen_in │ 0.1887 │ kg/s │ 8760 │ htse_to_h2_storage_pipe.hydrogen_i \n",
+ " │ │ │ │ n \n",
+ " nuclear │ │ │ │ \n",
+ " SimpleThermalNuclearReactorCost │ │ │ │ \n",
+ " Model │ │ │ │ \n",
+ " rated_capacity │ 1,000,000. │ kW │ 1 │ nuclear.rated_capacity \n",
+ " SimpleThermalNuclearReactorPerf │ │ │ │ \n",
+ " ormanceModel │ │ │ │ \n",
+ " rated_capacity │ 1,000,000. │ kW │ 1 │ nuclear.rated_capacity \n",
+ " nuclear_reactor_upfront_cost │ 5,750. │ USD/kW │ 1 │ nuclear.nuclear_reactor_upfront_co \n",
+ " │ │ │ │ st \n",
+ " nuclear_reactor_fixed_om_cost │ 2.64 │ USD/kW/year │ 1 │ nuclear.nuclear_reactor_fixed_om_c \n",
+ " │ │ │ │ ost \n",
+ " nuclear_reactor_variable_om_c │ 0.0145 │ USD/kW/h │ 1 │ nuclear.nuclear_reactor_variable_o \n",
+ " ost │ │ │ │ m_cost \n",
+ " electricity_out │ 999,043.48 │ kW │ 8760 │ nuclear.electricity_out \n",
+ " electricity_command_value │ 500,000. │ kW │ 8760 │ nuclear.electricity_command_value \n",
+ " high_pressure_electrical_effi │ 0.12 │ unitless │ 1 │ nuclear.high_pressure_electrical_e \n",
+ " ciency │ │ │ │ fficiency \n",
+ " low_pressure_electrical_effic │ 0.22 │ unitless │ 1 │ nuclear.low_pressure_electrical_ef \n",
+ " iency │ │ │ │ ficiency \n",
+ " minimum_heat_extract │ 1,000. │ kW │ 1 │ nuclear.minimum_heat_extract \n",
+ " heat_command_value │ 4,347.8261 │ kW │ 8760 │ nuclear.heat_command_value \n",
+ " operating_mode │ n/a │ n/a │ n/a │ nuclear.operating_mode \n",
+ " nuclear_to_htse_cable │ │ │ │ \n",
+ " electricity_in │ 999,043.48 │ kW │ 8760 │ nuclear_to_htse_cable.electricity_ \n",
+ " │ │ │ │ in \n",
+ " ╵ ╵ ╵ ╵ \n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "96 explicit outputs:\n",
+ "
\n"
+ ],
+ "text/plain": [
+ "\n",
+ "\u001b[1;36m96\u001b[0m explicit outputs:\n"
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+ "data": {
+ "text/html": [
+ " ╷ ╷ ╷ ╷ \n",
+ " Variable │ Mean │ Units │ Shape │ Promoted name \n",
+ "╶────────────────────────────────────┼──────────────────┼───────────┼───────┼─────────────────────────────────────╴\n",
+ " plant │ │ │ │ \n",
+ " combiner │ │ │ │ \n",
+ " GenericCombinerPerformanceModel │ │ │ │ \n",
+ " hydrogen_out │ 0. │ kg/h │ 8760 │ combiner.hydrogen_out \n",
+ " capacity_factor │ 0. │ unitless │ 30 │ combiner.capacity_factor \n",
+ " rated_hydrogen_production │ 0. │ kg/h │ 1 │ combiner.rated_hydrogen_production \n",
+ " finance_subgroup_electricity │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_electricity.capex_a \n",
+ " │ │ │ │ djusted_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_electricity.opex_ad \n",
+ " │ │ │ │ justed_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_electricity.varopex \n",
+ " │ │ │ │ _adjusted_nuclear \n",
+ " total_capex_adjusted │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_electricity.total_c \n",
+ " │ │ │ │ apex_adjusted \n",
+ " total_opex_adjusted │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_electricity.total_o \n",
+ " │ │ │ │ pex_adjusted \n",
+ " total_varopex_adjusted │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_electricity.total_v \n",
+ " │ │ │ │ aropex_adjusted \n",
+ " electricity_finance_profast_mod │ │ │ │ \n",
+ " el │ │ │ │ \n",
+ " LCOE │ 0.0791 │ USD/kW/h │ 1 │ finance_subgroup_electricity.LCOE \n",
+ " wacc_electricity │ 0.0625 │ percent │ 1 │ finance_subgroup_electricity.wacc_el \n",
+ " │ │ │ │ ectricity \n",
+ " crf_electricity │ 0.0723 │ percent │ 1 │ finance_subgroup_electricity.crf_ele \n",
+ " │ │ │ │ ctricity \n",
+ " irr_electricity │ 0.09 │ percent │ 1 │ finance_subgroup_electricity.irr_ele \n",
+ " │ │ │ │ ctricity \n",
+ " profit_index_electricity │ 1.5696 │ unitless │ 1 │ finance_subgroup_electricity.profit_ \n",
+ " │ │ │ │ index_electricity \n",
+ " investor_payback_period_elect │ 8 │ year │ 1 │ finance_subgroup_electricity.investo \n",
+ " ricity │ │ │ │ r_payback_period_electricity \n",
+ " price_electricity │ 0.0791 │ USD/kW/h │ 1 │ finance_subgroup_electricity.price_e \n",
+ " │ │ │ │ lectricity \n",
+ " LCOE_breakdown │ n/a │ n/a │ n/a │ finance_subgroup_electricity.LCOE_br \n",
+ " │ │ │ │ eakdown \n",
+ " finance_subgroup_hydrogen │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_hydrogen.capex_adju \n",
+ " │ │ │ │ sted_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adjus \n",
+ " │ │ │ │ ted_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ad \n",
+ " │ │ │ │ justed_nuclear \n",
+ " capex_adjusted_htse │ 30,063,405.93 │ USD │ 1 │ finance_subgroup_hydrogen.capex_adju \n",
+ " │ │ │ │ sted_htse \n",
+ " opex_adjusted_htse │ 0. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adjus \n",
+ " │ │ │ │ ted_htse \n",
+ " varopex_adjusted_htse │ 0. │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ad \n",
+ " │ │ │ │ justed_htse \n",
+ " total_capex_adjusted │ 5,369,510,018.72 │ USD │ 1 │ finance_subgroup_hydrogen.total_cape \n",
+ " │ │ │ │ x_adjusted \n",
+ " total_opex_adjusted │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_hydrogen.total_opex \n",
+ " │ │ │ │ _adjusted \n",
+ " total_varopex_adjusted │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_hydrogen.total_varo \n",
+ " │ │ │ │ pex_adjusted \n",
+ " hydrogen_finance_profast_model │ │ │ │ \n",
+ " LCOH │ 116.8301 │ USD/kg │ 1 │ finance_subgroup_hydrogen.LCOH \n",
+ " wacc_hydrogen │ 0.0625 │ percent │ 1 │ finance_subgroup_hydrogen.wacc_hydro \n",
+ " │ │ │ │ gen \n",
+ " crf_hydrogen │ 0.0723 │ percent │ 1 │ finance_subgroup_hydrogen.crf_hydrog \n",
+ " │ │ │ │ en \n",
+ " irr_hydrogen │ 0.09 │ percent │ 1 │ finance_subgroup_hydrogen.irr_hydrog \n",
+ " │ │ │ │ en \n",
+ " profit_index_hydrogen │ 1.5695 │ unitless │ 1 │ finance_subgroup_hydrogen.profit_ind \n",
+ " │ │ │ │ ex_hydrogen \n",
+ " investor_payback_period_hydro │ 8 │ year │ 1 │ finance_subgroup_hydrogen.investor_p \n",
+ " gen │ │ │ │ ayback_period_hydrogen \n",
+ " price_hydrogen │ 116.8301 │ USD/kg │ 1 │ finance_subgroup_hydrogen.price_hydr \n",
+ " │ │ │ │ ogen \n",
+ " LCOH_breakdown │ n/a │ n/a │ n/a │ finance_subgroup_hydrogen.LCOH_break \n",
+ " │ │ │ │ down \n",
+ " h2_storage │ │ │ │ \n",
+ " LinedRockCavernStorageCostModel │ │ │ │ \n",
+ " CapEx │ nan. │ USD │ 1 │ h2_storage.CapEx \n",
+ " OpEx │ nan. │ USD/year │ 1 │ h2_storage.OpEx \n",
+ " VarOpEx │ 0. │ USD/year │ 30 │ h2_storage.VarOpEx \n",
+ " marginal_cost │ 0. │ USD/kg │ 1 │ h2_storage.marginal_cost \n",
+ " cost_year │ 2018 │ n/a │ n/a │ h2_storage.cost_year \n",
+ " SimpleStorageOpenLoopController │ │ │ │ \n",
+ " hydrogen_command_value │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_command_value \n",
+ " StorageAutoSizingModel │ │ │ │ \n",
+ " hydrogen_out │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_out \n",
+ " total_hydrogen_produced │ 0. │ kg │ 1 │ h2_storage.total_hydrogen_produced \n",
+ " annual_hydrogen_produced │ 0. │ kg/year │ 30 │ h2_storage.annual_hydrogen_produced \n",
+ " replacement_schedule │ 0. │ unitless │ 30 │ h2_storage.replacement_schedule \n",
+ " capacity_factor │ 0. │ unitless │ 30 │ h2_storage.capacity_factor \n",
+ " rated_hydrogen_production │ 679.3478 │ kg/h │ 1 │ h2_storage.rated_hydrogen_production \n",
+ " operational_life │ 30 │ year │ 1 │ h2_storage.operational_life \n",
+ " storage_duration │ 0. │ h │ 1 │ h2_storage.storage_duration \n",
+ " SOC │ nan. │ percent │ 8760 │ h2_storage.SOC \n",
+ " storage_hydrogen_discharge │ 0. │ kg/h │ 8760 │ h2_storage.storage_hydrogen_discharg \n",
+ " │ │ │ │ e \n",
+ " storage_hydrogen_charge │ 0. │ kg/h │ 8760 │ h2_storage.storage_hydrogen_charge \n",
+ " standard_capacity_factor │ 0. │ unitless │ 30 │ h2_storage.standard_capacity_factor \n",
+ " storage_capacity │ 0. │ kg │ 1 │ h2_storage.storage_capacity \n",
+ " max_charge_rate │ 679.3478 │ kg/h │ 1 │ h2_storage.max_charge_rate \n",
+ " max_discharge_rate │ 679.3478 │ kg/h │ 1 │ h2_storage.max_discharge_rate \n",
+ " htse │ │ │ │ \n",
+ " HTSECostModel │ │ │ │ \n",
+ " CapEx │ 32,375,000. │ USD │ 1 │ htse.CapEx \n",
+ " OpEx │ 0. │ USD/year │ 1 │ htse.OpEx \n",
+ " VarOpEx │ 0. │ USD/year │ 30 │ htse.VarOpEx \n",
+ " marginal_cost │ 0. │ USD/kW/h │ 1 │ htse.marginal_cost \n",
+ " cost_year │ 2025 │ n/a │ n/a │ htse.cost_year \n",
+ " HTSEPerformanceModel │ │ │ │ \n",
+ " hydrogen_out │ 679.3478 │ kg/h │ 8760 │ htse.hydrogen_out \n",
+ " total_hydrogen_produced │ 5,951,086.96 │ kg │ 1 │ htse.total_hydrogen_produced \n",
+ " annual_hydrogen_produced │ 5,951,086.96 │ kg/year │ 30 │ htse.annual_hydrogen_produced \n",
+ " replacement_schedule │ 0.1 │ unitless │ 30 │ htse.replacement_schedule \n",
+ " capacity_factor │ 1. │ unitless │ 30 │ htse.capacity_factor \n",
+ " rated_hydrogen_production │ 679.3478 │ kg/h │ 1 │ htse.rated_hydrogen_production \n",
+ " operational_life │ 30 │ year │ 1 │ htse.operational_life \n",
+ " efficiency │ 0.0292 │ unitless │ 1 │ htse.efficiency \n",
+ " time_until_replacement │ 80,000. │ h │ 1 │ htse.time_until_replacement \n",
+ " electrolyzer_size_mw │ 25. │ MW │ 1 │ htse.electrolyzer_size_mw \n",
+ " water_demand │ 6,070.6603 │ kg/h │ 8760 │ htse.water_demand \n",
+ " heat_demand │ 4,347.8261 │ kW │ 8760 │ htse.heat_demand \n",
+ " electricity_demand │ 25,000. │ kW │ 8760 │ htse.electricity_demand \n",
+ " electricity_consumed │ 25,000. │ kW │ 8760 │ htse.electricity_consumed \n",
+ " controller │ │ │ │ \n",
+ " hydrogen_command_value │ 1,000,000,000. │ kg/h │ 8760 │ htse.hydrogen_command_value \n",
+ " htse_to_h2_storage_pipe │ │ │ │ \n",
+ " hydrogen_out │ 0.1887 │ kg/s │ 8760 │ htse_to_h2_storage_pipe.hydrogen_out \n",
+ " nuclear │ │ │ │ \n",
+ " SimpleThermalNuclearReactorCost │ │ │ │ \n",
+ " Model │ │ │ │ \n",
+ " CapEx │ 5,750,000,000. │ USD │ 1 │ nuclear.CapEx \n",
+ " OpEx │ 2,640,000. │ USD/year │ 1 │ nuclear.OpEx \n",
+ " VarOpEx │ 126,898,502.61 │ USD/year │ 30 │ nuclear.VarOpEx \n",
+ " marginal_cost │ 0. │ USD/kW/h │ 1 │ nuclear.marginal_cost \n",
+ " cost_year │ 2025 │ n/a │ n/a │ nuclear.cost_year \n",
+ " SimpleThermalNuclearReactorPerf │ │ │ │ \n",
+ " ormanceModel │ │ │ │ \n",
+ " electricity_out │ 999,043.48 │ kW │ 8760 │ nuclear.electricity_out \n",
+ " total_electricity_produced │ 8,751,620,869.57 │ kW*h │ 1 │ nuclear.total_electricity_produced \n",
+ " annual_electricity_produced │ 8,751,620,869.57 │ kW*h/year │ 30 │ nuclear.annual_electricity_produced \n",
+ " replacement_schedule │ 0. │ unitless │ 30 │ nuclear.replacement_schedule \n",
+ " capacity_factor │ 0.999 │ unitless │ 30 │ nuclear.capacity_factor \n",
+ " rated_electricity_production │ 1,000,000. │ kW │ 1 │ nuclear.rated_electricity_production \n",
+ " operational_life │ 30 │ year │ 1 │ nuclear.operational_life \n",
+ " high_pressure_heat_demanded │ 4,347.8261 │ kW │ 8760 │ nuclear.high_pressure_heat_demanded \n",
+ " high_pressure_heat │ 2,806,122.45 │ kW │ 8760 │ nuclear.high_pressure_heat \n",
+ " low_pressure_heat │ 2,801,774.62 │ kW │ 8760 │ nuclear.low_pressure_heat \n",
+ " heat_out │ 4,347.8261 │ kW │ 8760 │ nuclear.heat_out \n",
+ " nuclear_to_htse_cable │ │ │ │ \n",
+ " electricity_out │ 999,043.48 │ kW │ 8760 │ nuclear_to_htse_cable.electricity_ou \n",
+ " │ │ │ │ t \n",
+ " site │ │ │ │ \n",
+ " site_component │ │ │ │ \n",
+ " latitude │ 35.2019 │ deg │ 1 │ site.latitude \n",
+ " longitude │ -101.945 │ deg │ 1 │ site.longitude \n",
+ " elevation │ 0. │ m │ 1 │ site.elevation \n",
+ " ╵ ╵ ╵ ╵ \n",
+ "
\n"
+ ],
+ "text/plain": [
+ " ╷ ╷ ╷ ╷ \n",
+ " \u001b[1mVariable \u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1m Mean\u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1mUnits \u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1mShape\u001b[0m\u001b[1m \u001b[0m│\u001b[1m \u001b[0m\u001b[1mPromoted name \u001b[0m \n",
+ "╶────────────────────────────────────┼──────────────────┼───────────┼───────┼─────────────────────────────────────╴\n",
+ " plant │ │ │ │ \n",
+ " combiner │ │ │ │ \n",
+ " GenericCombinerPerformanceModel │ │ │ │ \n",
+ " hydrogen_out │ 0. │ kg/h │ 8760 │ combiner.hydrogen_out \n",
+ " capacity_factor │ 0. │ unitless │ 30 │ combiner.capacity_factor \n",
+ " rated_hydrogen_production │ 0. │ kg/h │ 1 │ combiner.rated_hydrogen_production \n",
+ " finance_subgroup_electricity │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_electricity.capex_a \n",
+ " │ │ │ │ djusted_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_electricity.opex_ad \n",
+ " │ │ │ │ justed_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_electricity.varopex \n",
+ " │ │ │ │ _adjusted_nuclear \n",
+ " total_capex_adjusted │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_electricity.total_c \n",
+ " │ │ │ │ apex_adjusted \n",
+ " total_opex_adjusted │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_electricity.total_o \n",
+ " │ │ │ │ pex_adjusted \n",
+ " total_varopex_adjusted │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_electricity.total_v \n",
+ " │ │ │ │ aropex_adjusted \n",
+ " electricity_finance_profast_mod │ │ │ │ \n",
+ " el │ │ │ │ \n",
+ " LCOE │ 0.0791 │ USD/kW/h │ 1 │ finance_subgroup_electricity.LCOE \n",
+ " wacc_electricity │ 0.0625 │ percent │ 1 │ finance_subgroup_electricity.wacc_el \n",
+ " │ │ │ │ ectricity \n",
+ " crf_electricity │ 0.0723 │ percent │ 1 │ finance_subgroup_electricity.crf_ele \n",
+ " │ │ │ │ ctricity \n",
+ " irr_electricity │ 0.09 │ percent │ 1 │ finance_subgroup_electricity.irr_ele \n",
+ " │ │ │ │ ctricity \n",
+ " profit_index_electricity │ 1.5696 │ unitless │ 1 │ finance_subgroup_electricity.profit_ \n",
+ " │ │ │ │ index_electricity \n",
+ " investor_payback_period_elect │ 8 │ year │ 1 │ finance_subgroup_electricity.investo \n",
+ " ricity │ │ │ │ r_payback_period_electricity \n",
+ " price_electricity │ 0.0791 │ USD/kW/h │ 1 │ finance_subgroup_electricity.price_e \n",
+ " │ │ │ │ lectricity \n",
+ " LCOE_breakdown │ n/a │ n/a │ n/a │ finance_subgroup_electricity.LCOE_br \n",
+ " │ │ │ │ eakdown \n",
+ " finance_subgroup_hydrogen │ │ │ │ \n",
+ " adjusted_capex_opex_comp │ │ │ │ \n",
+ " capex_adjusted_nuclear │ 5,339,446,612.79 │ USD │ 1 │ finance_subgroup_hydrogen.capex_adju \n",
+ " │ │ │ │ sted_nuclear \n",
+ " opex_adjusted_nuclear │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adjus \n",
+ " │ │ │ │ ted_nuclear \n",
+ " varopex_adjusted_nuclear │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ad \n",
+ " │ │ │ │ justed_nuclear \n",
+ " capex_adjusted_htse │ 30,063,405.93 │ USD │ 1 │ finance_subgroup_hydrogen.capex_adju \n",
+ " │ │ │ │ sted_htse \n",
+ " opex_adjusted_htse │ 0. │ USD/year │ 1 │ finance_subgroup_hydrogen.opex_adjus \n",
+ " │ │ │ │ ted_htse \n",
+ " varopex_adjusted_htse │ 0. │ USD/year │ 30 │ finance_subgroup_hydrogen.varopex_ad \n",
+ " │ │ │ │ justed_htse \n",
+ " total_capex_adjusted │ 5,369,510,018.72 │ USD │ 1 │ finance_subgroup_hydrogen.total_cape \n",
+ " │ │ │ │ x_adjusted \n",
+ " total_opex_adjusted │ 2,451,502.44 │ USD/year │ 1 │ finance_subgroup_hydrogen.total_opex \n",
+ " │ │ │ │ _adjusted \n",
+ " total_varopex_adjusted │ 117,837,874.77 │ USD/year │ 30 │ finance_subgroup_hydrogen.total_varo \n",
+ " │ │ │ │ pex_adjusted \n",
+ " hydrogen_finance_profast_model │ │ │ │ \n",
+ " LCOH │ 116.8301 │ USD/kg │ 1 │ finance_subgroup_hydrogen.LCOH \n",
+ " wacc_hydrogen │ 0.0625 │ percent │ 1 │ finance_subgroup_hydrogen.wacc_hydro \n",
+ " │ │ │ │ gen \n",
+ " crf_hydrogen │ 0.0723 │ percent │ 1 │ finance_subgroup_hydrogen.crf_hydrog \n",
+ " │ │ │ │ en \n",
+ " irr_hydrogen │ 0.09 │ percent │ 1 │ finance_subgroup_hydrogen.irr_hydrog \n",
+ " │ │ │ │ en \n",
+ " profit_index_hydrogen │ 1.5695 │ unitless │ 1 │ finance_subgroup_hydrogen.profit_ind \n",
+ " │ │ │ │ ex_hydrogen \n",
+ " investor_payback_period_hydro │ 8 │ year │ 1 │ finance_subgroup_hydrogen.investor_p \n",
+ " gen │ │ │ │ ayback_period_hydrogen \n",
+ " price_hydrogen │ 116.8301 │ USD/kg │ 1 │ finance_subgroup_hydrogen.price_hydr \n",
+ " │ │ │ │ ogen \n",
+ " LCOH_breakdown │ n/a │ n/a │ n/a │ finance_subgroup_hydrogen.LCOH_break \n",
+ " │ │ │ │ down \n",
+ " h2_storage │ │ │ │ \n",
+ " LinedRockCavernStorageCostModel │ │ │ │ \n",
+ " CapEx │ nan. │ USD │ 1 │ h2_storage.CapEx \n",
+ " OpEx │ nan. │ USD/year │ 1 │ h2_storage.OpEx \n",
+ " VarOpEx │ 0. │ USD/year │ 30 │ h2_storage.VarOpEx \n",
+ " marginal_cost │ 0. │ USD/kg │ 1 │ h2_storage.marginal_cost \n",
+ " cost_year │ 2018 │ n/a │ n/a │ h2_storage.cost_year \n",
+ " SimpleStorageOpenLoopController │ │ │ │ \n",
+ " hydrogen_command_value │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_command_value \n",
+ " StorageAutoSizingModel │ │ │ │ \n",
+ " hydrogen_out │ 0. │ kg/h │ 8760 │ h2_storage.hydrogen_out \n",
+ " total_hydrogen_produced │ 0. │ kg │ 1 │ h2_storage.total_hydrogen_produced \n",
+ " annual_hydrogen_produced │ 0. │ kg/year │ 30 │ h2_storage.annual_hydrogen_produced \n",
+ " replacement_schedule │ 0. │ unitless │ 30 │ h2_storage.replacement_schedule \n",
+ " capacity_factor │ 0. │ unitless │ 30 │ h2_storage.capacity_factor \n",
+ " rated_hydrogen_production │ 679.3478 │ kg/h │ 1 │ h2_storage.rated_hydrogen_production \n",
+ " operational_life │ 30 │ year │ 1 │ h2_storage.operational_life \n",
+ " storage_duration │ 0. │ h │ 1 │ h2_storage.storage_duration \n",
+ " SOC │ nan. │ percent │ 8760 │ h2_storage.SOC \n",
+ " storage_hydrogen_discharge │ 0. │ kg/h │ 8760 │ h2_storage.storage_hydrogen_discharg \n",
+ " │ │ │ │ e \n",
+ " storage_hydrogen_charge │ 0. │ kg/h │ 8760 │ h2_storage.storage_hydrogen_charge \n",
+ " standard_capacity_factor │ 0. │ unitless │ 30 │ h2_storage.standard_capacity_factor \n",
+ " storage_capacity │ 0. │ kg │ 1 │ h2_storage.storage_capacity \n",
+ " max_charge_rate │ 679.3478 │ kg/h │ 1 │ h2_storage.max_charge_rate \n",
+ " max_discharge_rate │ 679.3478 │ kg/h │ 1 │ h2_storage.max_discharge_rate \n",
+ " htse │ │ │ │ \n",
+ " HTSECostModel │ │ │ │ \n",
+ " CapEx │ 32,375,000. │ USD │ 1 │ htse.CapEx \n",
+ " OpEx │ 0. │ USD/year │ 1 │ htse.OpEx \n",
+ " VarOpEx │ 0. │ USD/year │ 30 │ htse.VarOpEx \n",
+ " marginal_cost │ 0. │ USD/kW/h │ 1 │ htse.marginal_cost \n",
+ " cost_year │ 2025 │ n/a │ n/a │ htse.cost_year \n",
+ " HTSEPerformanceModel │ │ │ │ \n",
+ " hydrogen_out │ 679.3478 │ kg/h │ 8760 │ htse.hydrogen_out \n",
+ " total_hydrogen_produced │ 5,951,086.96 │ kg │ 1 │ htse.total_hydrogen_produced \n",
+ " annual_hydrogen_produced │ 5,951,086.96 │ kg/year │ 30 │ htse.annual_hydrogen_produced \n",
+ " replacement_schedule │ 0.1 │ unitless │ 30 │ htse.replacement_schedule \n",
+ " capacity_factor │ 1. │ unitless │ 30 │ htse.capacity_factor \n",
+ " rated_hydrogen_production │ 679.3478 │ kg/h │ 1 │ htse.rated_hydrogen_production \n",
+ " operational_life │ 30 │ year │ 1 │ htse.operational_life \n",
+ " efficiency │ 0.0292 │ unitless │ 1 │ htse.efficiency \n",
+ " time_until_replacement │ 80,000. │ h │ 1 │ htse.time_until_replacement \n",
+ " electrolyzer_size_mw │ 25. │ MW │ 1 │ htse.electrolyzer_size_mw \n",
+ " water_demand │ 6,070.6603 │ kg/h │ 8760 │ htse.water_demand \n",
+ " heat_demand │ 4,347.8261 │ kW │ 8760 │ htse.heat_demand \n",
+ " electricity_demand │ 25,000. │ kW │ 8760 │ htse.electricity_demand \n",
+ " electricity_consumed │ 25,000. │ kW │ 8760 │ htse.electricity_consumed \n",
+ " controller │ │ │ │ \n",
+ " hydrogen_command_value │ 1,000,000,000. │ kg/h │ 8760 │ htse.hydrogen_command_value \n",
+ " htse_to_h2_storage_pipe │ │ │ │ \n",
+ " hydrogen_out │ 0.1887 │ kg/s │ 8760 │ htse_to_h2_storage_pipe.hydrogen_out \n",
+ " nuclear │ │ │ │ \n",
+ " SimpleThermalNuclearReactorCost │ │ │ │ \n",
+ " Model │ │ │ │ \n",
+ " CapEx │ 5,750,000,000. │ USD │ 1 │ nuclear.CapEx \n",
+ " OpEx │ 2,640,000. │ USD/year │ 1 │ nuclear.OpEx \n",
+ " VarOpEx │ 126,898,502.61 │ USD/year │ 30 │ nuclear.VarOpEx \n",
+ " marginal_cost │ 0. │ USD/kW/h │ 1 │ nuclear.marginal_cost \n",
+ " cost_year │ 2025 │ n/a │ n/a │ nuclear.cost_year \n",
+ " SimpleThermalNuclearReactorPerf │ │ │ │ \n",
+ " ormanceModel │ │ │ │ \n",
+ " electricity_out │ 999,043.48 │ kW │ 8760 │ nuclear.electricity_out \n",
+ " total_electricity_produced │ 8,751,620,869.57 │ kW*h │ 1 │ nuclear.total_electricity_produced \n",
+ " annual_electricity_produced │ 8,751,620,869.57 │ kW*h/year │ 30 │ nuclear.annual_electricity_produced \n",
+ " replacement_schedule │ 0. │ unitless │ 30 │ nuclear.replacement_schedule \n",
+ " capacity_factor │ 0.999 │ unitless │ 30 │ nuclear.capacity_factor \n",
+ " rated_electricity_production │ 1,000,000. │ kW │ 1 │ nuclear.rated_electricity_production \n",
+ " operational_life │ 30 │ year │ 1 │ nuclear.operational_life \n",
+ " high_pressure_heat_demanded │ 4,347.8261 │ kW │ 8760 │ nuclear.high_pressure_heat_demanded \n",
+ " high_pressure_heat │ 2,806,122.45 │ kW │ 8760 │ nuclear.high_pressure_heat \n",
+ " low_pressure_heat │ 2,801,774.62 │ kW │ 8760 │ nuclear.low_pressure_heat \n",
+ " heat_out │ 4,347.8261 │ kW │ 8760 │ nuclear.heat_out \n",
+ " nuclear_to_htse_cable │ │ │ │ \n",
+ " electricity_out │ 999,043.48 │ kW │ 8760 │ nuclear_to_htse_cable.electricity_ou \n",
+ " │ │ │ │ t \n",
+ " site │ │ │ │ \n",
+ " site_component │ │ │ │ \n",
+ " latitude │ 35.2019 │ deg │ 1 │ site.latitude \n",
+ " longitude │ -101.945 │ deg │ 1 │ site.longitude \n",
+ " elevation │ 0. │ m │ 1 │ site.elevation \n",
+ " ╵ ╵ ╵ ╵ \n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Success!\n"
+ ]
+ }
+ ],
+ "source": [
+ "from h2integrate.core.h2integrate_model import H2IntegrateModel\n",
+ "\n",
+ "h2i = H2IntegrateModel(\"nuclear_reactor_thermal_htse.yaml\")\n",
+ "\n",
+ "h2i.run()\n",
+ "\n",
+ "h2i.post_process()\n",
+ "\n",
+ "print(\"Success!\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "bc4ecbe5-2172-40f8-9e56-f6ced211d57c",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f2d07504-867d-48c8-a6ae-357f8b4d1c85",
+ "metadata": {},
+ "source": [
+ "# from h2integrate.core.h2integrate_model import H2IntegrateModel\n",
+ "#from inl_h2integrate.h2integrate.core.h2integrate_model import H2IntegrateModel\n",
+ "from h2integrate.core.h2integrate_model import H2IntegrateModel\n",
+ "# Create a GreenHEART model\n",
+ "h2i = H2IntegrateModel(\"nuclear_reactor_thermal_htse.yaml\")\n",
+ "\n",
+ "# Run the model\n",
+ "h2i.run()\n",
+ "\n",
+ "h2i.post_process()\n",
+ "\n",
+ "print(\"Success!\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "96647786-17e4-45c1-b68b-2d903979c0f8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([4347.82608696, 4347.82608696, 4347.82608696, 4347.82608696,\n",
+ " 4347.82608696])"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "nuclear_elec_out = h2i.prob.get_val(\"nuclear.heat_command_value\", units=\"kW\")[:5]\n",
+ "nuclear_elec_out"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "e2547492-7844-4e03-9227-e684b8d6aeec",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([4347.82608696, 4347.82608696, 4347.82608696, 4347.82608696,\n",
+ " 4347.82608696])"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "nuclear_h2_out = h2i.prob.get_val(\"nuclear.heat_out\", units=\"kW\")[:5]\n",
+ "nuclear_h2_out"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "c817ab39-01b1-4cac-9f78-92b8c519cf84",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([679.34782609, 679.34782609, 679.34782609, 679.34782609,\n",
+ " 679.34782609])"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "nuclear_h2_out = h2i.prob.get_val(\"htse.hydrogen_out\", units=\"kg/h\")[:5]\n",
+ "nuclear_h2_out"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "c59cae7a-5935-4bfb-bd22-1824997924b0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([679.34782609, 679.34782609, 679.34782609, 679.34782609,\n",
+ " 679.34782609])"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "electrolyzer_h2_out = h2i.prob.get_val(\"plant.h2_storage.hydrogen_in\", units=\"kg/h\")[:5]\n",
+ "electrolyzer_h2_out"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "8bc87a6e-c780-481e-9418-93be85073ad2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([999043.47826087, 999043.47826087, 999043.47826087, 999043.47826087,\n",
+ " 999043.47826087])"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "htse_heat_in = h2i.prob.get_val(\"htse.electricity_in\", units=\"kW\")[:5]\n",
+ "htse_heat_in"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "b2cadac1-c06d-45a5-8abf-2806ff1f56c4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import plotly.graph_objects as go\n",
+ "from plotly.subplots import make_subplots\n",
+ "\n",
+ "# import kaleido\n",
+ "\n",
+ "\n",
+ "def plot_graph(\n",
+ " x_data,\n",
+ " y_data,\n",
+ " line_name,\n",
+ " title,\n",
+ " x_title,\n",
+ " y_title,\n",
+ " filename,\n",
+ " line_color,\n",
+ " y,\n",
+ " line_styles,\n",
+ " fig_show=False,\n",
+ "):\n",
+ " # Define the figure\n",
+ " fig = make_subplots(specs=[[{\"secondary_y\": True}]]) # fig = go.Figure()\n",
+ " # Add data to figure\n",
+ " for i in range(0, len(x_data), 1):\n",
+ " fig.add_trace(\n",
+ " go.Scatter(\n",
+ " x=x_data[i],\n",
+ " y=y_data[i],\n",
+ " name=line_name[i],\n",
+ " yaxis=y[i],\n",
+ " line={\"color\": line_color[i], \"dash\": line_styles[i]},\n",
+ " )\n",
+ " )\n",
+ "\n",
+ " # Create Layout for the Html\n",
+ "\n",
+ " fig.update_layout(\n",
+ " title=go.layout.Title(text=title, xref=\"paper\", x=0.5),\n",
+ " xaxis=go.layout.XAxis(\n",
+ " title=go.layout.xaxis.Title(\n",
+ " text=x_title,\n",
+ " ),\n",
+ " rangeslider={\"visible\": True},\n",
+ " ),\n",
+ " )\n",
+ "\n",
+ " fig.update_layout(\n",
+ " xaxis={\"domain\": [0.05, 0.95]},\n",
+ " yaxis={\"title\": {\"text\": \"Power (kW)\"}},\n",
+ " yaxis2={\"title\": {\"text\": \"Hydrogen Produced (kg/h)\"}, \"overlaying\": \"y\", \"side\": \"right\"},\n",
+ " yaxis3={\n",
+ " \"title\": {\"text\": \"yaxis3 title\"},\n",
+ " \"anchor\": \"free\",\n",
+ " \"overlaying\": \"y\",\n",
+ " \"autoshift\": True,\n",
+ " },\n",
+ " yaxis4={\n",
+ " \"title\": {\"text\": \"yaxis4 title\"},\n",
+ " \"anchor\": \"free\",\n",
+ " \"overlaying\": \"y\",\n",
+ " \"autoshift\": True,\n",
+ " },\n",
+ " )\n",
+ "\n",
+ " fig.write_html((filename + \".html\"), include_mathjax=\"cdn\")\n",
+ " # fig.write_image(filename + '.svg')\n",
+ " # fig.write_image(filename + '.pdf')\n",
+ " if fig_show:\n",
+ " fig.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "bd506f44-1a94-41af-9589-4bd4b5325d16",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.plotly.v1+json": {
+ "config": {
+ "plotlyServerURL": "https://plot.ly"
+ },
+ "data": [
+ {
+ "line": {
+ "color": "deepskyblue",
+ "dash": "solid"
+ },
+ "name": "Electricity Out",
+ "type": "scatter",
+ "x": {
+ "bdata": 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",
+ "dtype": "i2"
+ },
+ "y": {
+ "bdata": "GLKQhSxkEUAYspCFLGQRQBiykIUsZBFAGLKQhSxkEUAYspCFLGQRQA==",
+ "dtype": "f8"
+ },
+ "yaxis": "y"
+ },
+ {
+ "line": {
+ "color": "red",
+ "dash": "dash"
+ },
+ "name": "Hydrogen Produced",
+ "type": "scatter",
+ "x": {
+ "bdata": 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"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# os.chdir(r\"C:\\Users\\MIKKDM\\Documents\\H2Integrate\\NucH2INtegrate\\examples\\99_nuclear_reactor_htse\")\n",
+ "\n",
+ "x_title = \"Time\"\n",
+ "y_title = [\"Power (MW)\", \"Hydrogen Produced (kg/h)\"]\n",
+ "line_name = [\"Electricity Out\", \"Hydrogen Produced\"]\n",
+ "line_color = [\"deepskyblue\", \"red\"]\n",
+ "line_styles = [\"solid\", \"dash\"]\n",
+ "x_data = [np.arange(8760)] * 2\n",
+ "y_data = [nuclear_elec_out, electrolyzer_h2_out]\n",
+ "title = \"Nuclear Reactor Optimization Output\"\n",
+ "filename = \"nuclear_example_output\"\n",
+ "y = [\"y1\", \"y2\"]\n",
+ "plot_graph(\n",
+ " x_data,\n",
+ " y_data,\n",
+ " line_name,\n",
+ " title,\n",
+ " x_title,\n",
+ " y_title,\n",
+ " filename,\n",
+ " line_color,\n",
+ " y,\n",
+ " line_styles,\n",
+ " fig_show=True,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b8e1b070",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "h2integrate",
+ "language": "python",
+ "name": "h2integrate"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.15"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/examples/99_nuclear_reactor_htse/nuclear_reactor_thermal_htse.yaml b/examples/99_nuclear_reactor_htse/nuclear_reactor_thermal_htse.yaml
new file mode 100644
index 000000000..cd6adb8ab
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/nuclear_reactor_thermal_htse.yaml
@@ -0,0 +1,7 @@
+name: "H2Integrate_config"
+
+system_summary: "This is an example plant with a nuclear plant capable of dispatching thermal and electrical energy to an HTSE system"
+
+driver_config: "driver_config.yaml"
+technology_config: "tech_config.yaml"
+plant_config: "plant_config.yaml"
diff --git a/examples/99_nuclear_reactor_htse/plant_config.yaml b/examples/99_nuclear_reactor_htse/plant_config.yaml
new file mode 100644
index 000000000..d57604605
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/plant_config.yaml
@@ -0,0 +1,61 @@
+name: plant_config
+description: This plant is located in CO, USA...
+sites:
+ site:
+ latitude: 35.2018863
+ longitude: -101.945027
+plant:
+ plant_life: 30
+# array of arrays containing left-to-right technology
+# interconnections; can support bidirectional connections
+# with the reverse definition.
+# this will naturally grow as we mature the interconnected tech
+
+technology_interconnections:
+ - [nuclear, htse, electricity, cable]
+ - [nuclear, htse, [heat_out, heat_in]]
+ - [htse, h2_storage, hydrogen, pipe]
+ - [htse, nuclear, [heat_demand, heat_command_value]]
+
+ # -["nuclear","network_heat","heat","pipe"]
+tech_to_dispatch_connections: [] #[
+ # ["htse", "hydrogen"], ["nuclear", "electricity"]]
+resource_to_tech_connections: []
+finance_parameters:
+ finance_groups:
+ profast_model:
+ commodity: electricity
+ finance_model: ProFastLCO
+ model_inputs:
+ params:
+ analysis_start_year: 2032
+ installation_time: 36 # months
+ inflation_rate: 0.0 # 0 for nominal analysis
+ discount_rate: 0.09 # nominal return based on 2024 ATB baseline workbook for land-based wind
+ debt_equity_ratio: 2.62 # 2024 ATB uses 72.4% debt for land-based wind
+ property_tax_and_insurance: 0.03 # percent of CAPEX estimated based on https://www.nrel.gov/docs/fy25osti/91775.pdf https://www.house.mn.gov/hrd/issinfo/clsrates.aspx
+ total_income_tax_rate: 0.257 # 0.257 tax rate in 2024 atb baseline workbook, value here is based on federal (21%) and state in MN (9.8)
+ capital_gains_tax_rate: 0.15 # H2FAST default
+ sales_tax_rate: 0.07375 # total state and local sales tax in St. Louis County https://taxmaps.state.mn.us/salestax/
+ debt_interest_rate: 0.07 # based on 2024 ATB nominal interest rate for land-based wind
+ debt_type: Revolving debt # can be "Revolving debt" or "One time loan". Revolving debt is H2FAST default and leads to much lower LCOH
+ loan_period_if_used: 0 # H2FAST default, not used for revolving debt
+ cash_onhand_months: 1 # H2FAST default
+ admin_expense: 0.00 # percent of sales H2FAST default
+ capital_items:
+ depr_type: MACRS # can be "MACRS" or "Straight line"
+ depr_period: 5 # 5 years - for clean energy facilities as specified by the IRS MACRS schedule https://www.irs.gov/publications/p946#en_US_2020_publink1000107507
+ refurb: [0.]
+ cost_adjustment_parameters:
+ cost_year_adjustment_inflation: 0.025 # used to adjust modeled costs to target_dollar_year
+ target_dollar_year: 2022
+ finance_subgroups:
+ electricity:
+ commodity: electricity
+ finance_groups: [profast_model]
+ technologies: [nuclear]
+ hydrogen:
+ commodity: hydrogen
+ commodity_stream: htse
+ finance_groups: [profast_model]
+ technologies: [nuclear, htse]
diff --git a/examples/99_nuclear_reactor_htse/run_nuclear_reactor_thermal.py b/examples/99_nuclear_reactor_htse/run_nuclear_reactor_thermal.py
new file mode 100644
index 000000000..3292adbc4
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/run_nuclear_reactor_thermal.py
@@ -0,0 +1,19 @@
+import matplotlib.pyplot as plt
+
+from h2integrate.core.h2integrate_model import H2IntegrateModel
+
+
+# Create a GreenHEART model
+h2i = H2IntegrateModel("nuclear_reactor_thermal_htse.yaml")
+
+# Run the model
+h2i.run()
+
+h2i.post_process()
+
+fig, ax = plt.subplots(3)
+ax[0].plot(h2i.prob.get_val("nuclear.electricity_out", units="MW"))
+ax[1].plot(h2i.prob.get_val("htse.hydrogen_out", units="kg/h"))
+ax[2].plot(h2i.prob.get_val("h2_storage.SOC", units="percent"))
+
+plt.show()
diff --git a/examples/99_nuclear_reactor_htse/tech_config.yaml b/examples/99_nuclear_reactor_htse/tech_config.yaml
new file mode 100644
index 000000000..1a222323f
--- /dev/null
+++ b/examples/99_nuclear_reactor_htse/tech_config.yaml
@@ -0,0 +1,66 @@
+name: technology_config
+description: This is a nuclear plant generating electricity and can also provide heat
+general:
+ folder_output: nuclear_htse
+technologies:
+ nuclear:
+ performance_model:
+ model: SimpleThermalNuclearReactorPerformanceModel
+ cost_model:
+ model: SimpleThermalNuclearReactorCostModel
+ model_inputs:
+ performance_parameters:
+ operating_mode: heat
+ electricity_command_value: 500000 # kW
+ high_pressure_electrical_efficiency: 0.12
+ low_pressure_electrical_efficiency: 0.22
+ minimum_heat_extract: 1000 # kW
+ cost_parameters:
+ nuclear_reactor_rated_capacity: 5000000.0
+ nuclear_reactor_upfront_cost: 5750.0 # $/kWe
+ nuclear_reactor_fixed_om_cost: 2.64
+ nuclear_reactor_variable_om_cost: 0.0145
+ # Values from Table 38, Meta-Analysis of Advanced Nuclear Reactor Cost Estimations,
+ # slightly adjusted away from 93% capacity factor
+ shared_parameters:
+ rated_capacity: 1000000.0
+ htse:
+ performance_model:
+ model: HTSEPerformanceModel
+ cost_model:
+ model: HTSECostModel
+ model_inputs:
+ performance_parameters:
+ nominal_heat_required: 6.4 # kWh/kg
+ nominal_electricity_required: 36.8 # kWh/kg
+ #https://lwrs.inl.gov/content/uploads/11/2024/03/TechnicalEconomicAssessment-LWR-SupportedHydrogen.pdf #INL/RPT-23-75604
+ cluster_rating_MW: 1 # Electric-only sizing component, so capacity = rating*clusters/nom_elec
+ n_clusters: 25
+ turndown_ratio: 0.1 # minimum operating power
+ cost_parameters:
+ unit_capex: 1295 # $/kW
+ fixed_capex: null
+ h2_storage:
+ performance_model:
+ model: StorageAutoSizingModel
+ control_strategy:
+ model: SimpleStorageOpenLoopController
+ cost_model:
+ model: LinedRockCavernStorageCostModel
+ model_inputs:
+ shared_parameters:
+ commodity: hydrogen
+ commodity_rate_units: kg/h
+ max_soc_fraction: 0.9
+ min_soc_fraction: 0.1
+ set_demand_as_avg_commodity_in: true
+ round_trip_efficiency: 1.0
+ cost_parameters:
+ sizing_mode: auto
+ combiner:
+ performance_model:
+ model: GenericCombinerPerformanceModel
+ model_inputs:
+ performance_parameters:
+ commodity: hydrogen
+ commodity_rate_units: kg/h
diff --git a/examples/test/test_all_examples.py b/examples/test/test_all_examples.py
index 3f8c73413..58978119b 100644
--- a/examples/test/test_all_examples.py
+++ b/examples/test/test_all_examples.py
@@ -3028,3 +3028,57 @@ def test_plm_optimized_dispatch_example(subtests, temp_copy_of_example):
battery_charge = model.prob.get_val("battery.storage_electricity_charge", units="kW")
total_energy_charged = battery_charge.sum() * (1 / 60) # kWh, 1 min timestep
assert pytest.approx(total_energy_charged, rel=1e-3) == -2663.0
+
+
+@pytest.mark.integration
+@pytest.mark.parametrize(
+ "example_folder,resource_example_folder", [("99_nuclear_reactor_htse", None)]
+)
+def test_nuclear_reactor_htse_example(subtests, temp_copy_of_example):
+ example_folder = temp_copy_of_example
+
+ model = H2IntegrateModel(example_folder / "nuclear_reactor_thermal_htse.yaml")
+ model.run()
+
+ annual_nuclear_electricity = model.prob.get_val(
+ "nuclear.annual_electricity_produced", units="TW*h/year"
+ )[0]
+ model.prob.get_val("htse.electricity_demand", units="TW*h/year")[0]
+ # annual_grid_sell = model.prob.get_val("grid_sell.annual_electricity_sold",
+ # units="TW*h/year")[0]
+ annual_hydrogen = model.prob.get_val("htse.annual_hydrogen_produced", units="kt/year")[0]
+
+ with subtests.test("Nuclear annual electricity is positive"):
+ assert annual_nuclear_electricity == pytest.approx(8.75162086757)
+
+ with subtests.test("HTSE annual hydrogen production is positive"):
+ assert annual_hydrogen == pytest.approx(5.951086956521741)
+
+ # with subtests.test("Grid annual electricity sold is non-negative"):
+ # assert annual_grid_sell >= 0.0
+
+ # with subtests.test("Electricity balance between HTSE demand and grid sales"):
+ # assert pytest.approx(annual_nuclear_electricity, rel=1e-4) == (
+ # annual_htse_electricity + annual_grid_sell
+ # )
+
+ high_pressure_heat = model.prob.get_val("nuclear.high_pressure_heat", units="MW")
+ low_pressure_heat = model.prob.get_val("nuclear.low_pressure_heat", units="MW")
+ extracted_heat = model.prob.get_val("nuclear.heat_out", units="MW")
+
+ with subtests.test("Nuclear thermal split is conserved"):
+ assert np.allclose(high_pressure_heat, low_pressure_heat + extracted_heat, rtol=1e-6)
+
+ rated_nuclear_output = model.prob.get_val("nuclear.rated_electricity_production", units="MW")[0]
+ nuclear_electricity_out = model.prob.get_val("nuclear.electricity_out", units="MW")
+
+ with subtests.test("Nuclear electricity output is within rated limit"):
+ assert np.all(nuclear_electricity_out <= rated_nuclear_output + 1e-6)
+
+ # unused_electricity = model.prob.get_val(
+ # "electrical_load_demand.unused_electricity_out", units="MW"
+ # )
+ # grid_electricity_in = model.prob.get_val("grid_sell.electricity_in", units="MW")
+
+ # with subtests.test("Unused electricity is routed to grid sell"):
+ # assert pytest.approx(unused_electricity.sum(), rel=1e-6) == grid_electricity_in.sum()
diff --git a/h2integrate/converters/hydrogen/__init__.py b/h2integrate/converters/hydrogen/__init__.py
index b39fb2556..0bf80327d 100644
--- a/h2integrate/converters/hydrogen/__init__.py
+++ b/h2integrate/converters/hydrogen/__init__.py
@@ -13,3 +13,7 @@
SteamMethaneReformerPerformanceModel,
SteamMethaneReformerCostModel,
)
+from h2integrate.converters.hydrogen.htse_electrolyzer import (
+ HTSEPerformanceModel,
+ HTSECostModel,
+)
diff --git a/h2integrate/converters/hydrogen/htse_electrolyzer.py b/h2integrate/converters/hydrogen/htse_electrolyzer.py
new file mode 100644
index 000000000..67158ecd4
--- /dev/null
+++ b/h2integrate/converters/hydrogen/htse_electrolyzer.py
@@ -0,0 +1,241 @@
+import math
+
+import numpy as np
+from attrs import define, field
+
+from h2integrate.converters.hydrogen.electrolyzer_baseclass import (
+ ElectrolyzerCostBaseClass,
+ ElectrolyzerPerformanceBaseClass,
+)
+from h2integrate.converters.hydrogen.utilities import size_electrolyzer_for_hydrogen_demand
+from h2integrate.core.model_baseclasses import CostModelBaseConfig, ResizeablePerformanceModelBaseConfig
+from h2integrate.core.utilities import merge_shared_inputs
+from h2integrate.core.validators import contains, gt_zero
+
+
+@define(kw_only=True)
+class HTSEElectrolyzerPerformanceModelConfig(ResizeablePerformanceModelBaseConfig):
+ """Configuration for the HTSE performance model."""
+
+ n_clusters: int = field(validator=gt_zero)
+ nominal_heat_required: float = field(validator=gt_zero)
+ nominal_electricity_required: float = field(validator=gt_zero)
+ location: str = field(default="onshore", validator=contains(["onshore", "offshore"]))
+ cluster_rating_MW: float = field(validator=gt_zero)
+ eol_eff_percent_loss: float = field(default=10.0, validator=gt_zero)
+ uptime_hours_until_eol: int = field(default=80000, validator=gt_zero)
+ include_degradation_penalty: bool = field(default=False)
+ turndown_ratio: float = field(default=0.1, validator=gt_zero)
+ pressure_H2: float = field(default=1.0, validator=gt_zero)
+
+
+class HTSEPerformanceModel(ElectrolyzerPerformanceBaseClass):
+ """A simplified HTSE model using electricity and heat inputs."""
+
+ def setup(self):
+ self.config = HTSEElectrolyzerPerformanceModelConfig.from_dict(
+ merge_shared_inputs(self.options["tech_config"]["model_inputs"], "performance"),
+ strict=False,
+ additional_cls_name=self.__class__.__name__,
+ )
+ super().setup()
+
+ self.add_output(
+ "efficiency",
+ val=0.0,
+ units="unitless",
+ desc="Average first-law efficiency based on utilized input energy",
+ )
+ self.add_output(
+ "time_until_replacement",
+ val=float(self.config.uptime_hours_until_eol),
+ units="h",
+ desc="Operating hours until replacement",
+ )
+ self.add_input(
+ "n_clusters",
+ val=self.config.n_clusters,
+ units="unitless",
+ desc="Number of HTSE clusters in the system",
+ )
+ self.add_input(
+ "heat_in",
+ val=0.0,
+ shape=self.n_timesteps,
+ units="kW",
+ desc="Thermal energy supplied to the HTSE system",
+ )
+ self.add_output(
+ "electrolyzer_size_mw",
+ val=0.0,
+ units="MW",
+ desc="Installed HTSE nameplate capacity",
+ )
+ self.add_input("cluster_size", val=1.0, units="MW")
+ self.add_input("max_hydrogen_capacity", val=1000.0, units="kg/h")
+
+ self.add_output(
+ "water_demand",
+ val=0.0,
+ shape=self.n_timesteps,
+ units="kg/h",
+ desc="Water consumption",
+ )
+ self.add_output(
+ "heat_demand",
+ val=self.config.n_clusters*self.config.cluster_rating_MW
+ *1000*self.config.nominal_heat_required/self.config.nominal_electricity_required,
+ shape=self.n_timesteps,
+ units="kW",
+ desc="Thermal demanded by the HTSE system",
+ )
+ self.add_output(
+ "electricity_demand",
+ val=0.0,
+ shape=self.n_timesteps,
+ units="kW",
+ desc="Electric demand by the HTSE system",
+ )
+ self.add_output(
+ "electricity_consumed",
+ val=0.0,
+ shape=self.n_timesteps,
+ units="kW",
+ desc="Electricity consumed by the HTSE"
+ )
+
+ def compute(self, inputs, outputs, discrete_inputs, discrete_outputs):
+
+
+ electrolyzer_size_mw = float(inputs["n_clusters"][0]) * self.config.cluster_rating_MW
+
+ size_mode = discrete_inputs["size_mode"]
+ if size_mode != "normal":
+ size_flow = discrete_inputs["flow_used_for_sizing"]
+ if size_mode == "resize_by_max_feedstock":
+ feed_ratio = max(float(inputs["max_feedstock_ratio"][0]), 1.0e-6)
+ if size_flow == "electricity":
+ electrolyzer_size_mw = np.max(inputs["electricity_in"]) / 1000.0 * feed_ratio
+ else:
+ raise ValueError(f"Cannot resize for '{size_flow}' feedstock")
+ elif size_mode == "resize_by_max_commodity":
+ comm_ratio = max(float(inputs["max_commodity_ratio"][0]), 1.0e-6)
+ if size_flow == "hydrogen":
+ electrolyzer_size_mw = size_electrolyzer_for_hydrogen_demand(
+ float(inputs["max_hydrogen_capacity"][0]) * comm_ratio
+ )
+ else:
+ raise ValueError(f"Cannot resize for '{size_flow}' commodity")
+ else:
+ raise NotImplementedError(f"Sizing mode '{size_mode}' not implemented")
+
+ n_clusters = inputs["n_clusters"]
+ electrolyzer_size_mw = n_clusters * self.config.cluster_rating_MW
+ electrolyzer_size_kw = electrolyzer_size_mw * 1000.0
+
+ if "system_level_control" in self.options["plant_config"]:
+ hydrogen_demand = inputs["hydrogen_command_value"] #kg/hr?
+ else:
+ hydrogen_demand = electrolyzer_size_kw/ self.config.nominal_electricity_required #kW/(kWh/kg) = kg/hr
+ ratio_heat_elec_nom = self.config.nominal_heat_required/self.config.nominal_electricity_required
+
+ heat_available_kw = inputs["heat_in"]
+ electricity_available_kw =inputs["electricity_in"]
+ #hydrogen_demand = inputs["hydrogen_command_value"]
+ total_specific_energy = (
+ self.config.nominal_heat_required + self.config.nominal_electricity_required
+ )
+ rated_hydrogen_production = electrolyzer_size_kw / self.config.nominal_electricity_required
+ #note here that the RATED production is based purely on the electrical requirement. The heat input is a bonus amount. Units here are kg/hr
+ heat_demand_kw = hydrogen_demand * self.config.nominal_heat_required
+ actual_heat_kw = np.minimum(heat_demand_kw, heat_available_kw)
+ electricity_demand_kw = total_specific_energy * hydrogen_demand - actual_heat_kw
+ ratio_in = heat_available_kw / electricity_available_kw
+ hydrogen_produced = np.where(electricity_available_kw < electricity_demand_kw,
+ np.where( ratio_in > ratio_heat_elec_nom,
+ electricity_available_kw/self.config.nominal_electricity_required,
+ (heat_available_kw + electricity_available_kw)/total_specific_energy),
+ (actual_heat_kw + electricity_demand_kw)/total_specific_energy)
+
+ actual_electricity_kw = actual_heat_kw/ratio_heat_elec_nom
+
+ #in this case, the electricity is insufficient compared to the heat, so we'll use
+ #actual_electricity_kw = np.minimum(electricity_demand_kw, electricity_available_kw)
+ min_turn_down = self.config.turndown_ratio * rated_hydrogen_production
+ hydrogen_produced = np.where(hydrogen_produced >= min_turn_down, hydrogen_produced, 0.0)
+
+ #heat_demand_kw = hydrogen_out * self.config.nominal_heat_required
+ # electricity_demand_kw = hydrogen_out * total_specific_energy - actual_heat_kw
+ #electricity_demand_kw = np.minimum(electricity_demand_kw, electricity_available_kw)
+ outputs["electricity_consumed"] = electricity_demand_kw
+ outputs["hydrogen_out"] = hydrogen_produced
+ #outputs["heat_demand"] = np.minimum(rated_hydrogen_production, inputs["hydrogen_command_value"]) * self.config.nominal_heat_required
+ outputs["heat_demand"] = hydrogen_demand * self.config.nominal_heat_required
+ outputs["electricity_demand"] = electrolyzer_size_kw
+ outputs["water_demand"] = hydrogen_produced * 18.015 / 2.016
+ outputs["rated_hydrogen_production"] = rated_hydrogen_production
+ outputs["electrolyzer_size_mw"] = electrolyzer_size_mw
+
+ total_hydrogen_produced = np.sum(hydrogen_produced) * (self.dt / 3600.0)
+ outputs["total_hydrogen_produced"] = total_hydrogen_produced
+ annual_hydrogen = total_hydrogen_produced / self.fraction_of_year_simulated
+ outputs["annual_hydrogen_produced"] = np.full(self.plant_life, annual_hydrogen)
+
+ max_production = rated_hydrogen_production * self.n_timesteps * (self.dt / 3600.0)
+ capacity_factor = total_hydrogen_produced / max_production if max_production > 0 else 0.0
+ outputs["capacity_factor"] =np.full(self.plant_life, capacity_factor)
+
+ utilized_input_kw = actual_heat_kw + electricity_demand_kw
+ available_input_kw = heat_available_kw + electricity_available_kw
+ with np.errstate(divide="ignore", invalid="ignore"):
+ timestep_efficiency = np.divide(
+ utilized_input_kw,
+ available_input_kw,
+ out=np.zeros_like(utilized_input_kw),
+ where=available_input_kw > 0,
+ )
+ outputs["efficiency"] = float(np.mean(timestep_efficiency))
+
+ refurb_schedule = np.zeros(self.plant_life)
+ refurb_period = max(1, round(self.config.uptime_hours_until_eol / 8760))
+ refurb_schedule[refurb_period : self.plant_life : refurb_period] = 1.0
+ outputs["replacement_schedule"] = refurb_schedule
+ outputs["time_until_replacement"] = float(self.config.uptime_hours_until_eol)
+
+
+@define(kw_only=True)
+class HTSECostModelConfig(CostModelBaseConfig):
+ """Configuration for the HTSE cost model."""
+
+ unit_capex: float = field(validator=gt_zero)
+ fixed_opex: float | None = field(default=None)
+ fixed_capex: float | None = field(default=None)
+ cost_year: int = field(default=2025, converter=int)
+
+ def __attrs_post_init__(self):
+ if self.fixed_opex is None:
+ self.fixed_opex = 0.0 if self.fixed_capex is None else float(self.fixed_capex)
+
+
+class HTSECostModel(ElectrolyzerCostBaseClass):
+ """A simple size-based cost model for HTSE."""
+
+ def setup(self):
+ self.config = HTSECostModelConfig.from_dict(
+ merge_shared_inputs(self.options["tech_config"]["model_inputs"], "cost"),
+ strict=False,
+ additional_cls_name=self.__class__.__name__,
+ )
+ super().setup()
+
+ self.add_input(
+ "electrolyzer_size_mw",
+ val=0.0,
+ units="MW",
+ desc="Installed HTSE nameplate capacity",
+ )
+
+ def compute(self, inputs, outputs, discrete_inputs, discrete_outputs):
+ electrolyzer_size_kw = float(inputs["electrolyzer_size_mw"][0]) * 1000.0
+ outputs["CapEx"] = self.config.unit_capex * electrolyzer_size_kw
+ outputs["OpEx"] = self.config.fixed_opex * electrolyzer_size_kw
diff --git a/h2integrate/converters/nuclear/__init__.py b/h2integrate/converters/nuclear/__init__.py
index 3bab04d7e..409ebc15f 100644
--- a/h2integrate/converters/nuclear/__init__.py
+++ b/h2integrate/converters/nuclear/__init__.py
@@ -2,3 +2,7 @@
QuinnNuclearPerformanceModel,
QuinnNuclearCostModel,
)
+from h2integrate.converters.nuclear.nuclear_plant_thermal import (
+ SimpleThermalNuclearReactorPerformanceModel,
+ SimpleThermalNuclearReactorCostModel,
+)
diff --git a/h2integrate/converters/nuclear/nuclear_plant_thermal.py b/h2integrate/converters/nuclear/nuclear_plant_thermal.py
new file mode 100644
index 000000000..f9309cc5c
--- /dev/null
+++ b/h2integrate/converters/nuclear/nuclear_plant_thermal.py
@@ -0,0 +1,209 @@
+import numpy as np
+from attrs import field, define
+
+from h2integrate.core.utilities import BaseConfig, merge_shared_inputs
+from h2integrate.core.validators import gt_zero, contains
+from h2integrate.core.model_baseclasses import (
+ CostModelBaseClass,
+ CostModelBaseConfig,
+ PerformanceModelBaseClass,
+)
+
+
+@define(kw_only=True)
+class SimpleThermalNuclearReactorConfig(BaseConfig):
+ operating_mode: str = field(validator=contains(["heat", "electricity"]))
+ electricity_command_value: float = field(validator=gt_zero)
+ high_pressure_electrical_efficiency: float = field(validator=gt_zero)
+ low_pressure_electrical_efficiency: float = field(validator=gt_zero)
+ rated_capacity: float = field(validator=gt_zero)
+ minimum_heat_extract: float = field(default=0.0)
+
+
+class SimpleThermalNuclearReactorPerformanceModel(PerformanceModelBaseClass):
+ """Simple thermal nuclear reactor model with heat and electricity outputs."""
+
+ _time_step_bounds = (3600, 3600)
+
+ def initialize(self):
+ super().initialize()
+ self.commodity = "electricity"
+ self.commodity_rate_units = "kW"
+ self.commodity_amount_units = "kW*h"
+
+
+ def setup(self):
+ self.config = SimpleThermalNuclearReactorConfig.from_dict(
+ merge_shared_inputs(self.options["tech_config"]["model_inputs"], "performance"),
+ strict=False,
+ additional_cls_name=self.__class__.__name__,
+ )
+ super().setup()
+
+ self.add_discrete_input("operating_mode", val=self.config.operating_mode)
+ self.add_input(
+ f"{self.commodity}_command_value",
+ val=self.config.electricity_command_value,
+ shape=self.n_timesteps,
+ units=self.commodity_rate_units,
+ desc="Requested electric power setpoint",
+ )
+ self.add_input(
+ "rated_capacity",
+ val=self.config.rated_capacity,
+ units=self.commodity_rate_units,
+ desc="Available reactor thermal capacity",
+ )
+ self.add_input(
+ "high_pressure_electrical_efficiency",
+ val=self.config.high_pressure_electrical_efficiency,
+ units="unitless",
+ )
+ self.add_input(
+ "low_pressure_electrical_efficiency",
+ val=self.config.low_pressure_electrical_efficiency,
+ units="unitless",
+ )
+ self.add_input(
+ "minimum_heat_extract",
+ val=self.config.minimum_heat_extract,
+ units="kW",
+ desc="Minimum thermal output reserved for process heat extraction",
+ )
+ self.add_input(
+ "heat_command_value",
+ val=6400,
+ shape=self.n_timesteps,
+ units="kW",
+ desc="Requested process heat demand from downstream technologies",
+ )
+
+ self.add_output("high_pressure_heat_demanded", val=0.0, shape=self.n_timesteps, units="kW")
+ self.add_output("high_pressure_heat", val=0.0, shape=self.n_timesteps, units="kW")
+ self.add_output("low_pressure_heat", val=0.0, shape=self.n_timesteps, units="kW")
+ self.add_output("heat_out", val=0.0, shape=self.n_timesteps, units="kW")
+
+ def compute(self, inputs, outputs, discrete_inputs, discrete_outputs):
+ operating_mode = discrete_inputs["operating_mode"]
+ hp_eff = float(inputs["high_pressure_electrical_efficiency"][0])
+ lp_eff = float(inputs["low_pressure_electrical_efficiency"][0])
+ electric_capacity_mw = float(inputs["rated_capacity"][0]) * 1e-3 # convert kW to MW
+ minimum_heat_extract_kw = np.maximum(inputs["minimum_heat_extract"], 0.0) #maintain kW rating
+ requested_power_mw = np.maximum(inputs["electricity_command_value"], 0.0) * 1e-3 #convert kW to MW, fix >0
+ external_heat_demand_kw = np.maximum(inputs["heat_command_value"], 0.0) #maintaining kW rating
+
+ combined_efficiency = hp_eff + (1.0 - hp_eff) * lp_eff
+ if combined_efficiency <= 0.0:
+ raise ValueError("Combined nuclear electric efficiency must be greater than zero")
+ if lp_eff <= 0.0:
+ raise ValueError("Low-pressure electrical efficiency must be greater than zero")
+
+ thermal_capacity_mw = electric_capacity_mw / combined_efficiency
+ high_pressure_electricity_mw = thermal_capacity_mw * hp_eff
+ available_process_heat_mw = thermal_capacity_mw * (1.0 - hp_eff)
+ heat_demand_mw = np.maximum(external_heat_demand_kw, minimum_heat_extract_kw) * 1e-3 #convert to MW from kW
+
+ if operating_mode == "heat":
+ heat_out_mw = np.minimum(heat_demand_mw, available_process_heat_mw)
+ electricity_out_mw = (
+ high_pressure_electricity_mw + (available_process_heat_mw - heat_out_mw) * lp_eff
+ )
+ elif operating_mode == "electricity":
+ electricity_out_mw = np.minimum(requested_power_mw, electric_capacity_mw)
+ heat_out_mw = (
+ available_process_heat_mw
+ - (electricity_out_mw - high_pressure_electricity_mw) / lp_eff
+ )
+ heat_out_mw = np.clip(heat_out_mw, 0.0, available_process_heat_mw)
+ else:
+ raise NotImplementedError(
+ "The nuclear operating_mode must be either 'heat' or 'electricity'"
+ )
+
+ electricity_out_mw = np.clip(electricity_out_mw, 0.0, electric_capacity_mw)
+ low_pressure_heat_remaining_mw = available_process_heat_mw - heat_out_mw
+
+ high_pressure_heat_kw = np.full(self.n_timesteps, available_process_heat_mw * 1000.0)
+ low_pressure_heat_kw = low_pressure_heat_remaining_mw * 1000.0
+ electricity_out_kw = electricity_out_mw * 1000.0
+ heat_out_kw = heat_out_mw * 1000.0
+
+ outputs["high_pressure_heat_demanded"] = heat_demand_mw * 1000.0
+ outputs["high_pressure_heat"] = high_pressure_heat_kw
+ outputs["low_pressure_heat"] = low_pressure_heat_kw
+ outputs["heat_out"] = heat_out_kw
+ outputs["electricity_out"] = electricity_out_kw
+ outputs["rated_electricity_production"] = electric_capacity_mw * 1000.0
+
+ total_electricity = np.sum(electricity_out_kw) * (self.dt / 3600.0)
+ outputs["total_electricity_produced"] = total_electricity
+ annual_electricity = total_electricity / self.fraction_of_year_simulated
+ outputs["annual_electricity_produced"] = np.full(self.plant_life, annual_electricity)
+
+ avg_electricity_out_mw = float(np.mean(electricity_out_mw))
+ capacity_factor = (
+ avg_electricity_out_mw / electric_capacity_mw if electric_capacity_mw > 0.0 else 0.0
+ )
+ outputs["capacity_factor"] = np.full(self.plant_life, capacity_factor)
+ outputs["replacement_schedule"] = np.zeros(self.plant_life)
+
+
+@define(kw_only=True)
+class SimpleThermalNuclearReactorCostConfig(CostModelBaseConfig):
+ rated_capacity: float = field(validator=gt_zero)
+ nuclear_reactor_upfront_cost: float = field(validator=gt_zero)
+ nuclear_reactor_fixed_om_cost: float = field(validator=gt_zero)
+ nuclear_reactor_variable_om_cost: float = field(validator=gt_zero)
+ cost_year: int = field(default=2025, converter=int)
+
+
+class SimpleThermalNuclearReactorCostModel(CostModelBaseClass):
+ """Simple cost model for the thermal nuclear reactor."""
+
+ _time_step_bounds = (3600, 3600)
+
+ def setup(self):
+ self.dt = self.options["plant_config"]["plant"]["simulation"]["dt"]
+ self.plant_life = int(self.options["plant_config"]["plant"]["plant_life"])
+ n_timesteps = int(self.options["plant_config"]["plant"]["simulation"]["n_timesteps"])
+ self.config = SimpleThermalNuclearReactorCostConfig.from_dict(
+ merge_shared_inputs(self.options["tech_config"]["model_inputs"], "cost"),
+ strict=False,
+ additional_cls_name=self.__class__.__name__,
+ )
+ super().setup()
+
+ self.add_input(
+ "rated_capacity",
+ val=self.config.rated_capacity,
+ units="kW",
+ )
+ self.add_input(
+ "nuclear_reactor_upfront_cost",
+ val=self.config.nuclear_reactor_upfront_cost,
+ units="USD/kW",
+ )
+ self.add_input(
+ "nuclear_reactor_fixed_om_cost",
+ val=self.config.nuclear_reactor_fixed_om_cost,
+ units="USD/(kW*year)",
+ )
+ self.add_input(
+ "nuclear_reactor_variable_om_cost",
+ val=self.config.nuclear_reactor_variable_om_cost,
+ units="USD/(kW*h)",
+ )
+ self.add_input("electricity_out", val=0.0, shape=n_timesteps, units="kW")
+
+ def compute(self, inputs, outputs, discrete_inputs, discrete_outputs):
+ rated_capacity_kw = float(inputs["rated_capacity"][0])
+ upfront_cost_per_kw = float(inputs["nuclear_reactor_upfront_cost"][0])
+ fixed_om_per_kw_year = float(inputs["nuclear_reactor_fixed_om_cost"][0])
+ variable_om_per_kwh = float(inputs["nuclear_reactor_variable_om_cost"][0])
+
+ outputs["CapEx"] = rated_capacity_kw * upfront_cost_per_kw
+ outputs["OpEx"] = fixed_om_per_kw_year * rated_capacity_kw
+
+ delivered_electricity_kwh = np.sum(inputs["electricity_out"]) * (self.dt / 3600.0)
+ annual_variable_om = variable_om_per_kwh * delivered_electricity_kwh
+ outputs["VarOpEx"] = np.full(self.plant_life, annual_variable_om)
diff --git a/h2integrate/core/supported_models.py b/h2integrate/core/supported_models.py
index f9e43ce89..51fa624bd 100644
--- a/h2integrate/core/supported_models.py
+++ b/h2integrate/core/supported_models.py
@@ -75,6 +75,8 @@ def copy(self):
"RunOfRiverHydroPerformanceModel": "converters.water_power:RunOfRiverHydroPerformanceModel",
"RunOfRiverHydroCostModel": "converters.water_power:RunOfRiverHydroCostModel",
"ECOElectrolyzerPerformanceModel": "converters.hydrogen:ECOElectrolyzerPerformanceModel",
+ "HTSEPerformanceModel": "converters.hydrogen:HTSEPerformanceModel",
+ "HTSECostModel": "converters.hydrogen:HTSECostModel",
"SingliticoCostModel": "converters.hydrogen:SingliticoCostModel",
"BasicElectrolyzerCostModel": "converters.hydrogen:BasicElectrolyzerCostModel",
"CustomElectrolyzerCostModel": "converters.hydrogen:CustomElectrolyzerCostModel",
@@ -128,6 +130,8 @@ def copy(self):
"NaturalGasPerformanceModel": "converters.natural_gas:NaturalGasPerformanceModel",
"QuinnNuclearPerformanceModel": "converters.nuclear:QuinnNuclearPerformanceModel",
"QuinnNuclearCostModel": "converters.nuclear:QuinnNuclearCostModel",
+ "SimpleThermalNuclearReactorCostModel": "converters.nuclear:SimpleThermalNuclearReactorCostModel",
+ "SimpleThermalNuclearReactorPerformanceModel": "converters.nuclear:SimpleThermalNuclearReactorPerformanceModel",
"NaturalGasCostModel": "converters.natural_gas:NaturalGasCostModel",
# Transport
"cable": "transporters:CablePerformanceModel",
@@ -188,12 +192,10 @@ def copy(self):
}
)
-
# This next section is to demarcate specific models that belong to certain categories that are
# relevant for processing in the model stackup. Right now, these designations are
# used in `h2integrate_model.py`.
-
# Model classes that do not contribute costs to the finance stackup because they are essentially
# internal-only models that aren't categorized as a specific technology (e.g. a generic combiner
# or splitter, or a model that is only used for performance modeling within another model and