Unlocking Investment Confidence in First-Of-A-Kind (FOAK) Geothermal Projects Through Advanced Scenario Modeling

Abstract As the world pivots to net-zero targets, geothermal energy is poised to deliver scalable, zero-emission baseload power—but unlocking funding for first-of-a-kind (FOAK) geothermal projects remains a major barrier. This paper presents a breakthrough approach: an integrated scenario-based modeling framework that replaces static, error-prone Excel models with a dynamic simulation platform that merges engineering, financial, and risk analysis in real time. Using this approach, investors can evaluate multiple geothermal investment cases under uncertainty—factoring in technical complexity, market volatility, carbon incentives, and emissions penalties. The platform enables side-by-side comparisons of geothermal versus fossil fuel power economics, while identifying financial tipping points, system failure risks, and optimization opportunities across project lifecycles. Key outcomes include: Real-time sensitivity analysis of capital costs, drilling success, and policy changesNPV and IRR evaluation across a wide range of thermal resource grades and plant typesDynamic project valuation under different incentive structures (e.g. IRA, carbon credits)Clear visualization of economic upside and downside scenarios to build investor confidence This methodology bridges the gap between complex geothermal engineering and the financial clarity required to secure capital on a scale. By adapting proven digital oil & gas tools for geothermal finance, this framework provides a replicable model to accelerate FOAK project deployment and scale climate-positive investments globally. To finance the geothermal revolution, we must rethink how we model it.