Test for pull requests

activities.json

@@ -0,0 +1,18 @@
+{
+    "activities": [
+        {
+            "name": "Production of hydrogen",
+            "location": "GLO",
+            "reference product": "hydrogen",
+            "unit": "kilogram",
+            "code": "production_of_hydrogen"
+        },
+        {
+            "name": "Production and maintenance of individual parts",
+            "location": "GLO",
+            "reference product": "hydrogen",
+            "unit": "unit",
+            "code": "production_and_maintenance"
+        }
+    ]
+}

data/Battery_Testing.py

@@ -0,0 +1,12 @@
+import numpy as np
+
+data = np.array([100., 50., 25., 15., 10., 5., 10., 15., 25., 50., 100.])
+demand = 50.
+threshold = 15.
+
+demand *= np.ones(len(data)) 
+
+difference = data - demand
+print(np.sum(difference))
+
+

data/PV_E/Base/PV_E_Base.md

@@ -5,6 +5,8 @@ Name | Type | Position
 Hourly_Irradiation_Plugin | plugin | 0
 Photovoltaic_Plugin | plugin | 0
 Multiple_Modules_Plugin | plugin | 3
+Foreground_LCI_Database_Plugin_V2_1 | plugin | 4
+
 
 # Display Parameters
 
@@ -59,6 +61,7 @@ Multiplier | 1.0 | CAPEX multiplier for every 10-fold increase of system size.
 Name | Value | Comment
 --- | --- | ---
 Nominal Power (kW) | 5,500.0 | Production of ca. 1 t of H2 per day to compare with PEC and photocatalytic models.
+Maximal electrolyzer capacity | 5000 | *this needs to be looked up, now it is just a value
 CAPEX Reference Power (kW) | 1,000.0
 Power requirement increase per year | 0.3% | Based on Chang 2020
 Minimum capacity | 10.0% | Based on Chang 2020, minimum capacity for electrolyzer to operate.
@@ -70,10 +73,26 @@ Replacement time (h) | 80,000.0 | Based on Chang 2020, operating time after whic
 Name | Value | Path | Comment
 --- | --- | --- | --- 
 Nominal Power (kW) | 1.5 | Electrolyzer > Nominal Power (kW) > Value | Optimal PV oversize ratio, same as Chang 2020
+Power per module (kW)| 340 | | Based on the work by Palmer 2021 
 CAPEX Reference Power (kW) | 1,000.0
 Power loss per year | 0.5% | Based on Chang 2020
 Efficiency | 22% | None | Only used for area calculation.
 
+# Battery
+
+Name | Value | Comment
+--- | --- | ---
+Capacity (kWh) | 4000 | Size of battery, considering capacity minimum of 20%, capacity has to be 20% larger than design capacity
+Round trip efficiency | 100% | For lithium ion battery
+
+
+# Reverse Osmosis
+Name | Value | Path | Comment
+--- | --- | --- | ---
+Power Demand (kWh/m3) | 2.71 | based on Hausmann 2021 and Kim 2008 (this was chosen for a purity of < 10 ppm of disolved salts in the obtained water)
+Recovery Rate | 40.0% | based Palmer 2021 and Tewlour 2022
+
+
 # Direct Capital Costs - PV
 
 Name | Value | Path | Comment
@@ -86,6 +105,18 @@ Name | Value | Path | Comment
 --- | --- | --- | ---
 Electrolyzer CAPEX ($/kW) | 784.0 | Electrolyzer > Nominal Power (kW) > Value ; Electrolyzer > Scaling Factor > Value | Based on Chang 2020, IRENA 2020 Green Hydrogen (PEM System CAPEX 700 - 1400 $/kg), Shah 2021.
 
+# Direct Capital Costs - Battery
+
+Name | Value | Path
+--- | --- | ---
+Battery CAPEX ($/kWh) | 139 | Battery > Capacity (kWh) > Value
+
+# Direct Capital Costs - Reverse Osmosis
+
+Name | Value | Path | Comment
+--- | --- | --- | ---
+Reverse Osmosis CAPEX () | 0 | | (inscomming, not yet resolved)
+
 # Non-Depreciable Capital Costs
 
 Name | Value | Comment
@@ -120,141 +151,3 @@ Name | Cost ($) | Path | Comment
 --- | --- | --- | ---
 Electrolyzer Stack Replacement | 40% | Direct Capital Costs - Electrolyzer > Electrolyzer CAPEX ($/kW) > Value | Based on Chang 2020
 
-# Sensitivity_Analysis - Deactivate
-
-Parameter | Name | Type | Values
---- | --- | --- | ---
-Planned Replacement > Electrolyzer Stack Replacement > Cost ($) | Stack repl. cost (% of E-CAPEX) | value | 20%; 80%
-Direct Capital Costs - PV > PV CAPEX ($/kW) > Value | PV CAPEX (\$/kW) | value | 400; 1600
-Direct Capital Costs - Electrolyzer > Electrolyzer CAPEX ($/kW) > Value | Electrolyzer CAPEX (\$/kW) | value | 400; 1600
-Electrolyzer > Conversion efficiency (kg H2/kWh) > Value | Electrolyzer efficiency (kg H_{2}/kWh) | value | 0.015; 0.025
-Photovoltaic > Power loss per year > Value | PV power loss per year | value | 0.25%; 1.0%
-Electrolyzer > Power requirement increase per year > Value | Electrolyzer power increase per year | value | 0.15%; 0.6%
-
-# Waterfall_Analysis - Deactivate
-
-Parameter | Name | Type | Value | Show Percent
---- | --- | --- | --- | ---
-Electrolyzer > Conversion efficiency (kg H2/kWh) > Value | kg($H_{2}$)/ kWh(Electricity) | value | 0.025
-Direct Capital Costs - PV > PV CAPEX ($/kW) > Value | \$/kW(PV) | value | 220
-Direct Capital Costs - Electrolyzer > Electrolyzer CAPEX ($/kW) > Value | \$/kW(Electro- lyzer) | value | 200
-Planned Replacement > Electrolyzer Stack Replacement > Cost ($)| Stack replacement (%E-CAPEX) | value | 20% | True
-
-# Monte_Carlo_Analysis
-
-Name | Value | Comment
---- | --- | ---
-Samples | 50,000 | Number of samples in Monte Carlo simulation.
-Target Price Range ($) | 1.5; 1.6
-Input File | ./PV_E/Base/Monte_Carlo_Output.csv
-
-# Parameters - Monte_Carlo_Analysis
-
-Parameter | Name | Type | Values | File Index | Comment
---- | --- | --- | --- | --- | --- 
-Direct Capital Costs - PV > PV CAPEX ($/kW) > Value | \$ / kW(PV) | value | Base; 220 | 0 | Based on Waldau 2021 PV CAPEX projection for 2050 (PV module learning rate of 25%, BOS learning rate of 7.5%, base PV growth scenario).
-Direct Capital Costs - Electrolyzer > Electrolyzer CAPEX ($/kW) > Value | \$ / kW(Electrolyzer) | value | Base; 200 | 1 | CAPEX reduction to 200 $/kW in 2050 based on IRENA Green Hydrogen 2020, learning curve model Waldau 2021 (using their cost reduction factor of ca. 4-5 until 2050 due to learning).
-Electrolyzer > Conversion efficiency (kg H2/kWh) > Value | kg($H_{2}$) / kWh(Electricity) | value | Base; 0.025 | 2 | Maximum efficiency: 0.02538 kg H2/kWh, Chang 2020 (based on reaction enthalpy).
-Planned Replacement > Electrolyzer Stack Replacement > Cost ($) | Stack repl. (fr. E-CAPEX) | value | Base; 20% | 3 | Decreasing stack replacement cost to 20% of electrolyzer CAPEX.
-
-# Cost_Contributions_Analysis - Deactivate
-
-# Methods - Cost_Contributions_Analysis 
-
-Name | Method Name | Arguments
---- | --- | ---
-cost_breakdown_plot_total | cost_breakdown_plot | {'name': 'Cost_Breakdown_Plot', 'show': False, 'save': False}
-cost_breakdown_plot_capital | cost_breakdown_plot | {'name': 'Cost_Breakdown_Plot_Capital', 'show': False, 'save': False, 'plugin': 'Capital_Cost_Plugin', 'plugin_property': 'direct_contributions', 'fig_height': 3, 'bottom': 0.2}
-
-# Methods - Sensitivity_Analysis
-
-Name | Method Name | Arguments
---- | --- | ---
-sensitivity_box_plot | sensitivity_box_plot | {'show': False, 'save': False, 'fig_width': 8, 'label_offset': 0.12, 'lim_extra': 0.25, 'fig_height': 5.4, 'bottom': 0.1, 'top': 0.98, 'format_cutoff': 7}
-
-# Methods - Waterfall_Analysis
-
-Name | Method Name | Arguments
---- | --- | ---
-waterfall_chart | plot_waterfall_chart | {'show': True, 'save': False, 'fig_width': 9, 'width': 0.55}
-
-# Methods - Monte_Carlo_Analysis
-
-Name | Method Name | Arguments
---- | --- | ---
-distance_cost_relationship | plot_distance_cost_relationship | Arguments - MC Analysis - distance_cost
-distance_histogram | plot_distance_histogram | {'show': False, 'xlabel': True, 'save': False, 'pdf': True, 'image_kwargs': {'path': 'pyH2A.Other~PV_E_Clipart.png'}}
-colored_scatter | plot_colored_scatter | Arguments - MC Analysis - colored_scatter
-target_parameters | plot_target_parameters_by_distance | {'show': False}
-
-# Arguments - MC Analysis - colored_scatter
-
-Name | Value
---- | ---
-show | False
-save | False
-pdf | False
-dpi | 500
-base_string | Base
-title_string | Target cost range: 
-plot_kwargs | {'left': 0.32, 'right': 0.94, 'bottom': 0.13, 'top': 0.92, 'fig_width': 6.5, 'fig_height': 4.0}
-image_kwargs | {'x': -0.41, 'zoom': 0.092, 'y': 0.5, 'path': 'pyH2A.Other~PV_E_Clipart.png'}
-
-# Arguments - MC Analysis - distance_cost
-
-Name | Value
---- | ---
-legend_loc | upper right
-log_scale | True
-plot_kwargs | {'show': False, 'save': False, 'dpi': 300, 'left': 0.09, 'right': 0.5, 'bottom': 0.15, 'top': 0.95, 'fig_width': 9, 'fig_height': 3.5}
-table_kwargs | {'ypos': 0.5, 'xpos': 1.05, 'height': 0.5}
-image_kwargs | {'path': 'pyH2A.Other~PV_E_Clipart.png', 'x': 1.6, 'zoom': 0.095, 'y': 0.2}
-
-# Comparative_MC_Analysis - Deactivate
-
-Name | Value | Image
---- | --- | ---
-pec | ./PEC/Base/PEC_Base.md | pyH2A.Other~PEC_Clipart.png
-photocatalytic | ./Photocatalytic/Base/Photocatalytic_Base.md | pyH2A.Other~Photocatalytic_Clipart.png
-pv_e | ./PV_E/Base/PV_E_Base.md | pyH2A.Other~PV_E_Clipart.png
-
-# Methods - Comparative_MC_Analysis
-
-Name | Method Name | Arguments
---- | --- | ---
-comparative_distance_histogram | plot_comparative_distance_histogram | Arguments - Comparative MC Analysis - distance_histogram
-comparative_distance_cost_relationship | plot_comparative_distance_cost_relationship | Arguments - Comparative MC Analysis - distance_cost
-comparative_distance_combined | plot_combined_distance | {'show': False, 'save': False, 'left': 0.06, 'fig_width': 13, 'dist_kwargs': {'legend_loc': 'upper right', 'log_scale': True}, 'table_kwargs': {'colWidths': [0.65, 0.25, 0.12, 0.25]}, 'hist_kwargs': {'title_string': 'Target cost range:'}}
-
-# Arguments - Comparative MC Analysis - distance_cost
-
-Name | Value
---- | ---
-show | False
-save | False
-pdf | False
-dpi | 300 
-fig_height | 5
-fig_width | 9
-top | 0.98
-bottom | 0.1
-dist_kwargs | {'log_scale': True, 'ylabel_string': 'Levelized cost of $H_{2}$ / \$/kg($H_{2}$)'}
-table_kwargs | {'format_cutoff': 7, 'height': 0.3, 'colWidths': [0.65, 0.2, 0.09, 0.2]}
-
-# Arguments - Comparative MC Analysis - distance_histogram
-
-Name | Value
---- | ---
-show | False
-save | False
-pdf | False
-dpi | 500
-fig_width | 5.5
-fig_height | 4.5
-left | 0.35
-right | 0.97
-bottom | 0.12
-top | 0.93
-hist_kwargs | {'show_parameter_table': False}
-image_kwargs | {'x': -0.38}
-