The Mine Energy Optimization Model – Excel Edition is a formula-driven planning tool for evaluating alternative mine energy-resource portfolios under cost, reliability, emissions and renewable-energy constraints.
The workbook evaluates Solar PV, Wind, Hydro, Battery Storage, Grid Supply, Natural Gas and Diesel capacity. Users can activate a manual capacity plan or select the best solution generated by the built-in Genetic Algorithm or Monte Carlo optimizer.
Both optimization engines evaluate 5,000 candidate solutions. The Genetic Algorithm uses 100 generations of 50 candidates, including elite retention, crossover and mutation. The Monte Carlo engine independently generates 5,000 random capacity combinations. Pressing F9 produces a new optimization session.
The selected capacity plan feeds a transparent 24-hour dispatch model showing hourly demand, resource availability, supply allocation, battery state of charge, unserved energy, operating cost, emissions and renewable-energy contribution.
The model also provides:
configurable cost and constraint weights;
a target annual-cost objective;
emissions and renewable-energy limits;
reliability-reserve requirements;
annualized capital and operating costs;
ranked optimization results;
a 5,000-run optimization-history table;
a linear-programming dispatch benchmark;
visual summaries of the selected energy portfolio.
The workbook is delivered as a standard .xlsx file. It contains no VBA, macros, Python code or external links. Users require desktop Microsoft Excel with automatic calculation enabled.
The model is intended for preliminary energy-planning, scenario analysis, teaching and decision support. Users should replace the illustrative mine and resource assumptions with project-specific engineering and commercial data.
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Source: Best Practices in Mining Industry, Energy Industry Excel: Mine Energy Optimization Model Excel (XLSX) Spreadsheet, Deon de Wet-Roos
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