Solar Software P3 Reference 3 min read Reviewed July 8, 2026 Akash Hirpara Akash Hirpara

SAM Financial Model

SAM's financial engine models full project finance: LCOE, IRR, NPV, tax equity, debt sizing.

Definition

SAM (System Advisor Model) includes a comprehensive financial engine modeling LCOE, IRR, NPV, debt sizing, tax equity, ITC, depreciation, and PPA tariffs. Used for utility-scale solar project finance modeling.

Key Takeaways

  • SAM Financial = NREL’s open-source project finance module.
  • Models LCOE, IRR, NPV, tax equity, debt sizing.
  • Companion to SAM’s energy modeling.
  • Used by developers, IPPs, and policy analysts.
  • Free; scriptable.

How the Financial Engine Fits Into SAM

SAM’s financial engine doesn’t work in isolation — it sits downstream of SAM’s own energy-yield simulation. The energy model estimates hourly or annual generation for a given system design; the financial engine then takes that production profile and runs it through project-finance math to produce LCOE, IRR, and NPV, alongside debt sizing, tax equity structuring, ITC treatment, depreciation schedules, and PPA tariff pricing. Because both halves live in the same tool, a designer can change an assumption — module count, inverter loading, degradation rate — and see the effect ripple through to the financial outputs without re-exporting data between separate energy and finance tools.

This matters most at utility scale, where a project’s bankability depends on lenders and IPPs agreeing on consistent assumptions across the energy and finance sides. SAM’s integrated approach is one reason it’s frequently used as a cross-check against other bankable energy models before a project reaches financial close.

The SAM financial model is one of several tools used to pressure-test utility-scale project economics before financial close, and it pairs naturally with the underlying energy simulation covered in the SAM (System Advisor Model) glossary entry. Since LCOE is the single output most lenders anchor on, the LCOE glossary entry is worth reading alongside this one, and readers who want a second financial-modeling tool to cross-check against SAM’s output may find SurgePV’s solar generation financial modeling tool and QuickEstimate’s guide to solar financial modeling software useful comparison points. For ground-mount utility-scale projects specifically — the segment where this kind of full project-finance modeling matters most — Heaven Green Energy’s ground mount solar park EPC work shows the delivery side of the same projects SAM’s financial engine is built to underwrite.

Frequently Asked Questions

5 commonly searched questions about SAM Financial Model.

What is the SAM financial model?
It's the financial engine built into NREL's System Advisor Model (SAM). Once SAM's energy-modeling side estimates hourly energy production, the financial engine feeds that output into LCOE, IRR, NPV, debt sizing, tax equity, ITC, depreciation, and PPA tariff calculations for the same project.
Is the SAM financial model separate from SAM itself?
No — it's a module inside the same free SAM software from NREL, not a separate product. Energy modeling and financial modeling share one project file, so a change to system design flows straight through to the financial outputs.
What financial metrics does SAM calculate?
LCOE, IRR, and NPV are the core outputs, alongside debt sizing, tax equity structuring, ITC (investment tax credit) treatment, depreciation schedules (including MACRS), and PPA tariff pricing — the same set of metrics lenders and IPPs use to evaluate utility-scale project bankability.
Who uses the SAM financial model?
Project developers, independent power producers (IPPs), and policy analysts, mainly for utility-scale solar. It's commonly used to structure debt and tax-equity stacks and to cross-check financial assumptions before a project reaches financial close.
Is the SAM financial model free to use?
Yes. It's part of NREL's free, open-source SAM download, with no license fee, and it's scriptable via SAM's Python, MATLAB, and JavaScript SDKs for parametric finance studies.

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