Solar’s Expectation Gap

May 29. 2026

GROUNDWORK PERSPECTIVES

Solar’s Expectation Gap

The industry has normalized making billion-dollar decisions on assumptions that won’t be validated until it’s too late to fix them. That has to change.

I’ve spent 15 years watching solar assets underperform the same way. Not because of bad equipment. Not because of bad people. Because of bad intelligence — and a collective willingness to pretend that documented assumptions are the same as defensible facts.

Here’s the pattern. A developer models a project at 1,850 kWh/kWp. The numbers look solid. Satellite resource data. Industry benchmarks. Vendor certifications. The lender reviews it. The independent engineer signs off. Capital flows.

Two years into operations, the asset is underperforming. But by then, the debt structure is set. The PPA pricing is final. The warranty claim gets disputed. The O&M budget doesn’t cover the gap. Nobody lied. Nobody cut corners. Everyone followed best practices.

The failure was in the intelligence.

The Expectation Gap

At every phase of the solar lifecycle, assumptions harden before evidence exists to defend them.

In development, resource assessments get built on satellite data rather than on-site measurements — and those yield assumptions get locked into financing before anyone turns a shovel. In construction, equipment gets accepted based on vendor spec sheets under schedule pressure rather than measured evidence. In operations, performance gets monitored through lagging indicators — quarterly reports, inverter alarms, reactive maintenance — with problems identified after they’ve already cost money.

“The gap between ‘documented’ and ‘defensible’ is where value disappears.”

Defensible means measured, validated, and traceable to independent evidence. When a lender audits performance three years in — when an insurer questions a hail claim, when a buyer evaluates an asset for acquisition — best practices don’t hold up. Only measured reality does.

The industry will tell you this is just how solar works. “Everyone uses satellite resource data.” “Manufacturer specs are acceptable.” “Capacity tests are industry standard.” “Ignore the MET data.” The belief nobody questions: if the model says it works, and everyone else does it this way, it’s defensible.

It’s not.

Where the Problem Lives

Solar technology works. Panels convert sunlight to electricity. Inverters manage the power. The equipment does what it’s designed to do. The gap opens in the decisions that shape how assets get financed, accepted, and managed — decisions made on assumptions rather than evidence, at exactly the moment when they’re hardest to reverse.

Development

Yield assumptions get locked into debt structures that live for 30+ years. If satellite data says 1,850 kWh/kWp and reality delivers 1,720, the loan terms don’t adjust.

Construction

Acceptance is where liability shifts from EPC to owner. Once you sign, you own whatever reality shows up in operations — even if it doesn’t match what was promised.

Operations

Most performance loss is gradual and compounding. By the time quarterly reports flag the issue, warranties have expired and losses are no longer recoverable.

Every solar professional I know has seen this pattern. Most have lived it. The question is whether we’re willing to say it out loud — and do something about it.

What Replaces It

This is why we built GroundWork around full-stack solar intelligence: the discipline of establishing defensible certainty across the entire asset lifecycle, before decisions become irreversible.

That means resource assessments built on on-site instrumentation, not satellite extrapolation. Equipment tested in accredited labs under real-world conditions — hail strikes, thermal cycling, mechanical loads — not accepted off a vendor checklist. Performance tracked through continuous field measurement that isolates degradation from weather variability, with early-warning signals that catch problems while warranties are still active.

One measurement standard. One validation framework. One accountability structure across development, construction, and operations. No data silos. No handoff risk. No gaps where assumptions slip through.

When a lender asks how you know the project will deliver — the answer has to be: because we measured it. When an insurer asks how you know the modules survived the storm — the answer has to be: because we tested them. When an asset owner asks why performance is lagging — the answer has to be: here’s what the data shows, and here’s what we’re doing about it.

Why It Matters Now

The installed base of utility-scale solar in the U.S. is scaling fast — hundreds of gigawatts already in the ground, with 20+ year PPAs attached. Lenders are underwriting multi-decade returns. Insurers are pricing risk that will play out over asset lifetimes. The Expectation Gap doesn’t just affect individual projects — it compounds across an entire industry’s portfolio.

Solar matters too much to build on assumptions. The standard has to be measured, validated, and built to last the life of the asset. That’s the category we’re building at GroundWork. And it’s the standard the industry needs.

 

Ann Will

CEO, GroundWork Renewables

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