Minimum methodological requirements for decision-grade techno-economic analysis used in capital allocation contexts. DG-TEA establishes validation discipline; DG-PFF extends it to evaluate parity-driven fragility in investment decisions.
All compliant analyses must:
Analyses that do not meet these criteria are not decision-grade.
DG-PFF is designed to produce a clear decision signal before capital is committed.
Failure to apply DG-PFF can result in misclassification of parity and misallocation of capital. The standards define the method, conformance artifacts show how it is evaluated, and Insight articles demonstrate applications in live decision contexts.
Intended use: capital-relevant TEA, diligence, investment screening, and benchmark-anchored analytical review. Analyses labeled DG-PFF must define explicit parity and collapse thresholds, identify where previously viable conditions become non-viable, and present structured Go/No-Go outputs with ranked sensitivities.
Applies to clean energy projects approaching pre-FID or internal capital decisions where cost parity claims materially influence investment outcomes.
Analyses that do not apply structured stress testing, threshold evaluation, and explicit classification cannot be considered decision-grade under DG-PFF. Full implementation, including calibrated thresholds and scenario structures, is applied within Insight Quantix decision-grade engagements.
Methodological requirements for decision-grade techno-economic analysis, benchmark anchoring, scope discipline, variance classification, balance closure, and reproducibility.
Published December 13, 2025 · v1.0 Companion FrameworkExtends DG-TEA with a parity-fragility framework for evaluating investment claims where economic parity drives capital allocation decisions.
Published February 20, 2026 · v1.0Binary reviewer checklist (YES/NO/N/A) with required evidence mapping to DG-TEA artifacts.
Dated December 20, 2025 · v0.9 Reference CaseWorked conformance case demonstrating DG-TEA validation on the NREL SAF benchmark.
Dated December 20, 2025 · v0.9For applied case studies using these methods, see Analytical Notes →