Technical Assumption Review for Energy Models
Executive Summary
Key Takeaways
- ✓ Technical assumption review checks each key assumption against its independent, external source — not merely whether the model is internally consistent, which a structural audit already covers.
- ✓ Resource yield assumptions should be traced to the specific independent technical report and confidence level actually cited, not accepted on the basis that a yield figure exists somewhere in the model.
- ✓ Degradation assumptions should be traced to the specific equipment manufacturer's warranty and specification documentation, confirming the model's assumed curve shape and rate match that documented basis.
- ✓ Availability assumptions should be traced to the actual O&M contract's guaranteed availability level, and O&M cost assumptions should be traced to the actual contract's fee schedule and escalation terms.
- ✓ Where any technical assumption cannot be traced to a specific, credible independent source, this should be flagged explicitly as an open item rather than accepted on the basis of internal consistency alone.
Objective¶
This guide sets out how technical assumption review should be structured for an energy or power project financial model, within Energy Financial Modelling, as a discipline distinct from the structural formula checks covered in Energy Model Audit.
Why This Is a Distinct Discipline¶
A structural formula audit tests whether the model's formulas calculate correctly given whatever assumptions are entered into it. Technical assumption review tests something different: whether those entered assumptions are themselves properly sourced from credible independent evidence. A model can pass a structural audit entirely — every formula calculates as intended — while still resting on technical assumptions that are unsourced, outdated, or inconsistent with the actual independent evidence available for the project.
Resource Yield¶
Resource yield assumptions should be traced to the specific independent resource yield assessment and the specific confidence level actually cited for each purpose the figure serves — the base case forecasting figure and the conservative debt-sizing figure should each trace to a specific, identified source, not accepted simply because a yield figure of some kind appears somewhere in the model.
Degradation¶
Degradation assumptions should be traced to the specific equipment manufacturer's warranty and technical specification documentation, confirming that the model's assumed curve shape and annual rate actually match that documented basis, rather than a generic cross-technology default disconnected from the actual equipment installed.
Availability and O&M Cost¶
Availability assumptions should be traced to the actual O&M contract's guaranteed availability level; O&M cost assumptions should be traced to the actual contract's fee schedule and escalation terms. Both should be reviewed against the specific, executed contract governing the project, not an industry-average benchmark that may not reflect the actual commercial terms in place.
Flagging Unsourced Assumptions¶
Where any key technical assumption cannot be traced to a specific, credible independent source, this should be flagged explicitly as an open item requiring further evidence or, at minimum, a more conservative placeholder assumption pending that evidence — rather than accepted on the basis that the model is otherwise internally consistent. Internal consistency is a necessary but not sufficient condition; it says nothing about whether the assumption itself is well-founded.
Common Pitfalls¶
Internal consistency mistaken for proper sourcing. Confirming a model calculates consistently, without independently confirming its input assumptions are well-sourced, misses a real risk that a structural audit alone would not catch.
Yield or degradation figures accepted without a specific traced source. Treating any yield or degradation figure as acceptable simply because it appears plausible, without tracing it to the specific report or specification it should come from, understates genuine sourcing risk.
Unsourced assumptions left unflagged. Failing to explicitly flag an assumption that cannot be traced to a credible source leaves a genuine open item invisible to the reader relying on the review.
Recommended Practices¶
- Trace each key technical assumption (yield, degradation, availability, O&M cost) to its specific, named independent source.
- Confirm the confidence level cited for each purpose the yield assumption serves.
- Flag any assumption that cannot be traced to a credible source explicitly as an open item.
- Treat technical assumption review as distinct from, and complementary to, a structural formula audit.
Continue Reading¶
Related Pillars¶
Related Technical Guides¶
Related Glossary¶
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Frequently Asked Questions
How does technical assumption review differ from a structural formula audit?
A structural formula audit tests whether the model's formulas calculate correctly given whatever assumptions are entered; technical assumption review tests whether those entered assumptions themselves are properly sourced from credible independent evidence — a model can pass a structural audit entirely while still resting on unsourced or poorly sourced technical assumptions.
How should resource yield assumptions be reviewed?
Traced to the specific independent technical report and the specific confidence level (P50, P90, or other) actually cited for each purpose the figure is used for, rather than accepted simply because a yield figure of some kind appears in the model's assumptions.
How should degradation assumptions be reviewed?
Traced to the specific equipment manufacturer's warranty and technical specification documentation, confirming the model's assumed degradation curve shape and annual rate actually match that documented basis, rather than a generic cross-technology default.
How should availability and O&M cost assumptions be reviewed?
Availability should be traced to the actual O&M contract's guaranteed availability level; O&M cost assumptions should be traced to the actual contract's fee schedule and escalation terms — both reviewed against the specific, executed contract rather than an industry-average benchmark.
What should happen if a technical assumption cannot be traced to a credible source?
It should be flagged explicitly as an open item requiring further evidence or a more conservative placeholder assumption, rather than accepted simply because the model is otherwise internally consistent — internal consistency does not substitute for an actual independent source.
References
Related Articles
Energy Financial Modelling
Energy financial modelling is the discipline of building financial models for power generation assets, independent power producers, and renewable energy projects — structured around a technical output schedule and an electricity revenue stack that a standard corporate or general project finance model has no direct equivalent for. This page is the hub for the Knowledge Centre's energy and power modelling content: how a power project model is architected, how electricity markets and dispatch mechanics translate into revenue, and how power purchase agreements, capacity payments, and merchant exposure combine into a project's revenue structure. Technology-specific renewable energy models (solar, wind, storage, hydro, and others), technical and commercial modelling mechanics, and institutional practice for this asset class are indexed here as the domain expands.
Resource Yield Assessment
A resource yield assessment is a technical study, typically prepared by an independent engineer, estimating the expected energy resource available to a generation asset — solar irradiance, wind speed, or hydrology — expressed at defined confidence (exceedance probability) levels such as P50 and P90. Each confidence level serves a distinct modelling purpose, and using the wrong one for a given purpose is a common structural error in renewable energy financial models.
Degradation Rate
Degradation rate is the annual decline in equipment output over a generation asset's operating life, reflecting expected panel, turbine, or other equipment performance decline. It should be applied as an explicit, consistent annual schedule reconciled to the technical basis used elsewhere in the model, since even a small inconsistency compounds materially over a multi-decade asset life.
Availability Models
Availability modelling extends beyond a single availability percentage assumption into how contractual availability guarantees, planned and unplanned outage risk allocation, and liquidated damages provisions should be represented in a power project financial model. This guide covers how availability should be modelled as a contractually structured mechanic, connecting the O&M contract's actual terms to the model's revenue and cost outputs.
Energy Model Audit
A structural audit of an energy or power project financial model tests whether the formulas actually built calculate correctly across the technical output chain, revenue stack, operating cost build, and debt sculpting modules specific to this domain — distinct from validation, which additionally assesses whether the underlying assumptions and methodology are reasonable. This guide sets out the audit scope specific to a power project model, building on the general financial model audit discipline this domain applies.
Energy Model Validation
Independent validation of an energy or power project financial model tests three distinct pillars: conceptual soundness of the resource yield, degradation, and price forecasting methodology, implementation accuracy of that methodology in the actual model build, and ongoing outcomes performance once the asset is operational. This guide sets out how each pillar applies to this domain, extending the general model validation discipline with the resource- and market-specific judgment this asset class requires.