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- capital cost of the facility/system ($/kW)
- maintenance costs($/kWh)
- yearly capacity factor (%)
- fuel costs ($/MMBtu)
- supply rate (Btu/kWh)
- discount rate which you plan to sell the energy (%)
- operational period of the facility or system (years)
The program takes the user input specifications and returns a number plot for the Levelized Cost of Energy, and Capital Recovery Factor (CRF). Then, a single parameter can be changed incrementally (i.e. parameter sweep) and the number plot will graph all simulation results and display them together for LCOE or CRF as a function of that particular variable. This will graphically represent to what extent that swept variable dictates the price of energy. Such sweeping of variables not only show what areas can be used to make energy cheaper, but also to show where R&D can be used to optimize cost in the most effective way.
Researchers should cite this work as follows: