Insight Quantix Standards Registry
DG-PFF Decision Standard (Summary)
All compliant analyses must:
- Define parity and collapse thresholds
- Identify where viability fails
- Classify fragility under realistic variation
- Produce a Go / No-Go decision signal
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 Insight Quantix standards define minimum methodological requirements for decision-grade techno-economic analysis used in capital allocation contexts.
The DG-TEA standard establishes validation discipline, while DG-PFF extends the framework to evaluate parity-driven fragility in investment decisions.
Standards define the method, conformance artifacts show how it is evaluated, and Insight articles demonstrate applications in live decision contexts.
Intended use: For capital-relevant TEA, diligence, investment screening, and benchmark-anchored analytical review.
Registry logic: DG-TEA defines methodological requirements for decision-grade TEA. DG-PFF provides the parity-fragility framework used when parity claims drive investment decisions. Conformance materials demonstrate how compliance with these standards is evaluated.
• SAF Reference Case
DG-PFF Operational Standard (Public Specification)
Scope
Applies to clean energy projects approaching pre-FID or internal capital decisions where cost parity claims materially influence investment outcomes.
Required Evaluation
All DG-PFF compliant analyses must include:
- Delivered cost at the point of use, not nominal or input pricing
- Explicit capacity factor definition, including operational basis
- Policy dependence, including applicable credit tiers and conditions
- Sensitivity to utilization and input price variation
Mandatory Stress Testing
Analyses must evaluate, at minimum:
- Capacity factor variation under realistic operating conditions
- Electricity price variation based on delivered cost exposure
- Policy degradation scenarios, including partial or full loss of support
Required Output Classification (Go / No-Go Gate)
All DG-PFF compliant analyses must produce explicit decision outputs. A valid DG-PFF output must end in an explicit Go / No-Go-class decision signal:
- Parity: Holds / Fails
- Fragility: Low / Medium / High
- Decision Signal: Proceed / Caution / Rework / No-Go
Compliance Statement
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.
Standards
DG-TEA Standard v1.0
Defines the methodological requirements for decision-grade techno-economic analysis, including benchmark anchoring, scope discipline, variance classification, balance closure, and reproducibility.
Published December 13, 2025 · Version 1.0
DG-PFF v1.0
Extends DG-TEA with a parity-fragility framework for evaluating investment claims where economic parity drives capital allocation decisions.
Published February 20, 2026 · Version 1.0
Conformance Artifacts
DG-TEA Compliance Checklist v0.9
Binary reviewer checklist (YES/NO/N/A) with required evidence mapping to DG-TEA artifacts.
Dated December 20, 2025 · Version 0.9
DG-TEA Reference Implementation (SAF) v0.9
Worked conformance case demonstrating DG-TEA validation on the NREL SAF benchmark.
Dated December 20, 2025 · Version 0.9
Conformance artifacts remain at v0.9 pending alignment to the next consolidated release cycle.
For applied case studies using these methods, see Insights.