Benchmarking the Jupyter notebook against the spreadsheet.

[BotrosHanna-INL]

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Merge Request Description

The notebook results were not similar to the results using the cost reduction excel sheet tool which is published at:
https://inl.gov/content/uploads/2023/11/Nuclear-Reactor-Cost-Reduction-Pathway-Spreadsheet-Tool.xlsx**

Comparing the FOMs (OCC, TCI, construction duration) between the notebook and the excel sheet, the discrepancy is less than 0.1%. The screenshot (below) shows the FOAK, 2nd of a kind, 3rd of a kind, 10th of a kind estimates costs as estimated by the excel tool and Python. The difference between the results is negligible.

[JiaZhou-PU]

Hi @BotrosHanna-INL I think I also need the input.xlsx in the same folder so in the cell 2 of CostReduction_exploration_mode.ipynb the function require an original inputs.

def reactor_data_read(reactor_type):
    
    if reactor_type == "Concept A":
        # Reading excel or csv files
        Reactor_data_0 = pd.read_excel('inputs.xlsx', sheet_name = "Concept_A", nrows= 69)
        reactor_power = 1056 * 1000 # kw
        
        
    elif reactor_type == "Concept B":
        # Reading excel or csv files
        Reactor_data_0 = pd.read_excel('inputs.xlsx', sheet_name = "Concept_B", nrows= 69)
        reactor_power = 310.8 * 1000 # kw    
        
    db = pd.DataFrame()
    db = Reactor_data_0[['Account', 'Title', 'Total Cost (USD)', 'Factory Equipment Cost', 'Site Labor Hours', 'Site Labor Cost',\
                    'Site Material Cost']].copy()
    Reactor_data = db
    return Reactor_data, reactor_power