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Merge pull request #28 from zhieejhia93/compare-results-example
Demonstration on how to extract results from multiple runs and save in one CSV file
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‎examples/example1d_SAM_ParametricStudy/README.md‎

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# Example1d - MOOSE/SAM Plugin
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## Purpose
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This example provides a demonstration on how to use WATTS to perform multiple runs and save selected outputs from all runs to a single '.csv' file for ease of comparison, post-processing, and visualization.
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## Code(s)
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- SAM
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## Keywords
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- Parametric study
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- Results extraction
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- Post-processing
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## File descriptions
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- [__example1d.py__](example1d.py): WATTS workflow for this example. This is the file to execute to run the problem described above.
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- [__sam_template__](sam_template): SAM templated input file.
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- [__results.csv__](results.csv): An example of CSV file that will be generated through running this example.

‎examples/example1d_SAM_ParametricStudy/example1d.py‎

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# SPDX-FileCopyrightText: 2022 UChicago Argonne, LLC
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# SPDX-License-Identifier: MIT
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"""
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This example demonstrates how to use WATTS to perform
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multiple runs and extract selected results from the runs.
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The demonstration includes an approach to save selected
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results from different runs into a single CSV file for
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ease of comparison, visualization, and post-processing.
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This demonstration uses SAM with a single PbCoreChannel
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with inlet and outlet boundary conditions. The input
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power of the channel is varied. The simulation is run
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as transient where the end time is varied to artificially
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create results of different lengths to show that the
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output CSV file can accept columns of different lengths.
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"""
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from math import cos, pi
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import os
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import watts
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import pandas as pd
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from astropy.units import Quantity
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params = watts.Parameters()
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# Input parameters to template file
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params['He_inlet_temp'] = Quantity(600, "Celsius") # 873.15 K
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params['He_outlet_temp'] = Quantity(850, "Celsius") # 1123.15 K
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params['He_cp'] = Quantity(4.9184126, "BTU/(kg*K)") # 5189.2 J/kg-K
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params['He_K'] = 0.32802 # W/m-K
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params['He_density'] = 3.8815 # kg/m3
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params['He_viscosity'] = 4.16e-5 # Pa.s
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params['He_Pressure'] = Quantity(1015.264164, "psi") # 7e6 Pa
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params['num_cool_pins'] = 1*6 + 2*6 + 6*2/2
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params['num_fuel_pins'] = 6 + 6 + 6 + 3*6 + 2*6/2 + 6/3
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params['Height_FC'] = Quantity(2000, "mm") # Automatically converts to 'm' for MOOSE and 'cm' for openmc
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params['Lattice_pitch'] = 2.0
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params['FuelPin_rad'] = 0.90 # cm
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params['cool_hole_rad'] = 0.60 # cm
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params['Coolant_channel_diam'] = (params['cool_hole_rad'] * 2)/100 # in m
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params['Graphite_thickness'] = (params['Lattice_pitch'] - params['FuelPin_rad'] - params['cool_hole_rad']) # cm
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params.show_summary(show_metadata=False, sort_by='key')
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# MOOSE Workflow
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moose_app_type = "SAM"
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app_dir = os.environ[moose_app_type.upper() + "_DIR"]
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power = [100_000, 250_000, 300_000, 400_000, 500_000] # Watts
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endtime = [50, 100, 100, 50, 50] # End time is varied to artificially create results of different lengths.
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results_dict = {} # Create empty dictionary
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for i in range(len(power)):
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params['Tot_assembly_power'] = power[i]
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params['endtime'] = endtime[i]
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# Execute WATTS
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moose_plugin = watts.PluginMOOSE(moose_app_type.lower() + '_template') # show all the output
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moose_plugin.moose_exec = app_dir + "/" + moose_app_type.lower() + "-opt"
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moose_result = moose_plugin(params)
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# Add items to dictionary.
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results_dict[f'time_{i+1}'] = moose_result.csv_data['time']
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results_dict[f'max_Tcoolant_{i+1}'] = moose_result.csv_data['max_Tcoolant']
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results_dict[f'max_Tw_{i+1}'] = moose_result.csv_data['max_Tw']
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# Store dictionary items as dataframe. Columns of unequal lengths are padded with NaN.
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df = pd.DataFrame({k: pd.Series(v) for k, v in results_dict.items()})
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# Sort column names alphabetically and save as CSV file
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df.sort_index(axis=1).to_csv('results.csv')

‎examples/example1d_SAM_ParametricStudy/results.csv‎

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,max_Tcoolant_1,max_Tcoolant_2,max_Tcoolant_3,max_Tcoolant_4,max_Tcoolant_5,max_Tw_1,max_Tw_2,max_Tw_3,max_Tw_4,max_Tw_5,time_1,time_2,time_3,time_4,time_5
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0,873.15,873.15,873.15,873.15,873.15,873.15,873.15,873.15,873.15,873.15,0.0,0.0,0.0,0.0,0.0
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1,873.27104921286,873.43810086872,873.49065886366,873.59190621014,873.68855640385,873.28161009639,873.47591550168,873.53971354419,873.6657615605,873.7896951253,1.0,1.0,1.0,1.0,1.0
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15,,908.48960529517,911.3980152664,,,,918.79654965452,923.80513538894,,,,100.0,100.0,,

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