ADI independently assessed engineered geothermal system economics using expert elicitation and lifecycle cost modeling. Drilling depth, well productivity, stimulation costs, and surface plant design were treated explicitly to capture uncertainty ranges in LCOE outcomes. Results highlighted where cost reduction efforts would have the greatest impact on commercial viability.
The client
U.S. Department of Energy
The situation
High cost uncertainty hindered EGS commercialization.
ADI’s contributions
Expert cost elicitations
Gathered drilling and reservoir cost ranges.
Proprietary LCOE modeling
Applied GETEM‑based lifecycle models.
Uncertainty analysis
Modeled cost distributions and sensitivities.
Technology benchmarking
Benchmarked EGS against other power options.
Key outcomes
- Quantified cost drivers and uncertainty bands to guide R&D focus.
More insights
Middle East conflict’s fallout more limited than expected
Part of ADI Analytics’ ongoing coverage of the implications of the Iran conflict across oil & gas, LNG, refined products, and chemicals. Analysts have been quick to predict permanently altered LNG trade flows, structurally different chemical markets, and a new global energy order following the Iran conflict. Several months into the conflict, the evidence points […]
Japan vs. South Korea: SAF projects diverge
Japan and South Korea are moving from aspirational sustainable aviation fuel (SAF) targets toward blending mandates. In July 2026, Japan announced plans to mandate a 1% SAF blend in fiscal year (FY) 2030, rising to at least 3% in FY2031 and 5% or more from FY2032–34. South Korea announced its phased SAF mandate in 2025, […]
What recent M&A reveals about the catalyst industry
The catalyst industry is entering a new phase, with 2026 marking a period of significant portfolio realignment and expansion into adjacent catalyst technologies and services across refining, petrochemical, polymer, and emissions-control markets. The transactions shown in Exhibit 1 highlight a broader shift in how companies are positioning themselves across the catalyst value chain. For instance, […]