Solar PPA Generation Guarantee Auditor
$9,200.00 in solar PPA generation guarantee liquidated damages recovered across across 3 items.
Target 245,000 kWh x 90% = 220,500 kWh guarantee. Delivered 195,000 kWh (shortfall 25,500 kWh). Damages: 25,500 x ($0.225 - $0.145 = $0.080) = $2,040.00. Total month gap 50,000 kWh shortfall = $4,000.00 under Exhibit C.
Method1Benchmarked interval meter generation against pyranometer weather-normalized irradiance models.
2Calculated contractual replacement power cost spreads under Exhibit C guarantee terms.
| Reference | Description | Shortfall_Damages |
|---|---|---|
| SOL-101 | April Generation Shortfall Damages | $4,000.00 |
| SOL-101 | January Generation Shortfall Damages | $2,640.00 |
| SOL-101 | February Generation Shortfall Damages | $2,560.00 |
Inverter generation interval meter data and on-site pyranometer weather logs, plus Power Purchase Agreement guarantee clauses
PPA generation shortfall liquidated damages claim file and solar yield shortfall brief (Resolution Dossier, Findings Schedule)
Run Solar PPA Generation Guarantee Auditor free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,500 a month. 30% goes to the referring partner.
Read in memory for the session, never stored, never used to train a model.
Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.
Free scan. Pay only on cash recovered.
Run Solar PPA Generation Guarantee Auditor free on the last 12 months of files. If it finds money, the fee is 15 percent of what is actually recovered, nothing on what is not. After that, ongoing monitoring is $1,500 a month.
On a sample file: $9,200.00 in solar PPA generation guarantee liquidated damages recovered across across 3 items.
Why not just use ChatGPT?
Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.
Get a free scan
If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.