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DCAF

The Discounted Cash Flow Analysis Framework is a professional financial engineering library for nuclear energy project cost and metric calculations, with a focus on Extended Power Uprate (EPU) projects.

Installation

Install the dcaf-idaholab distribution from PyPI:

uv add dcaf-idaholab
# or: pip install dcaf-idaholab

The Python import package remains dcaf:

from dcaf import EnergyProject

Overview

DCAF provides high-fidelity cost modeling and financial analysis tools specifically designed for nuclear energy projects. The library enables detailed financial analysis including:

  • Net Present Value (NPV), Discounted Cashflow (DCF) and Internal Rate of Return (IRR) calculations
  • Financing cost modeling with accurate interest calculations
  • Tax and incentive analysis
    • Production Tax Credits
    • Investment Tax Credits
    • MACRS and VDB depreciation scheduling
  • Pro-forma generation for detailed financial projections
  • Comprehensive cost modeling for EPU projects

Day Count Conventions

Project analyses default to actual/actual, which uses real calendar days and splits annual-rate calculations by calendar year so leap-year days use a 366-day denominator. Use actual/365-no-leap when you intentionally want normalized 365-day project years that exclude Feb. 29 from elapsed-day counts. Use actual/365-fixed when you need actual calendar days divided by 365.

The project-wide default is set with EnergyProject(day_count_convention=...) or .day_count_convention(...), and it flows into NPV, IRR, LCOE, escalation, construction interest, operating-year proration, and capacity-hour generation.

Bank-loan and bond-style conventions such as actual/360 and 30/360 are useful future additions, but they are not implemented yet.

About

DCAF is a financial engineering library for high-fidelity economic analysis of nuclear energy projects. It supports DCF, NPV, IRR, and LCOE modeling, financing, taxes and incentives (PTC, ITC, MACRS, custom incentives), and generates detailed financial projections and pro forma reports.

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