Inside the unexplained loss bucket
Every loss waterfall has a line no one can explain. Kibby Pollak, co-founder and CEO of Enurgen, shows how to split that unknown loss bucket into model bias and operational loss to see the impact most performance reports never show you.
Get access37 minWhat you'll learn
- 01
Split the unexplained loss bucket
Learn how to differentiate between an expected production number that's off, and real faults in the field. Set targets that your team can actually hit.
- 02
Where expected production goes wrong
How scaled budgets and single-point POA sensors can skew the baseline by up to 6%, so every loss calculated against it inherits the error.
- 03
What loss accounting misses
Why portfolios reporting 99% loss coverage can be closer to 88%, and why the DC side is where the gap shows up first.
Inside the talk
- 00:00From research lab to underperformance
- 02:45What underperformance does to IRR and PPA price
- 06:00Budget, expected, actual: the three numbers to bridge
- 10:30One bucket, five names
- 12:45Model bias: scaled budgets vs. re-simulated models
- 20:00Where POA sensors mislead
- 24:55Operational losses and the loss accounting problem
- 30:00Case study: minute-level DC data on a large plant
- 34:40Q&A: as-built data, first signs, when it pays off
Kibby Pollak
Co-founder and CEO, Enurgen
Kibby co-founded Enurgen out of SUNLAB, where the team began modeling PV systems in northern climates in 2011. Today Kibby leads the work of turning more than 15 years of physics-based modeling research into the platform operators use to explain underperformance across their portfolios.
- Asset Managers
- Performance Engineers
- O&M Teams
37 minutes on splitting the line in your loss waterfall that no one owns.
Watch the full talk