From design through operations, Enurgen was built to give every team working on utility-scale assets an accurate account of asset performance, tracing every result to a physical cause.
Every loss explained, ranked, and acted on, with models grounded in physics.
EnurgenOS pairs the accuracy of a 3D physics-based model with AI-accelerated performance insights. The DUET™ model powering the platform is built by solar engineers to calculate each site’s output using its unique geometry, terrain, and weather, before leveraging AI to turn model results into reports in minutes.
More than 10 years of physics-based research has gone into EnurgenOS, with the model being tested against real conditions at 160+ sites. The result is a model that captures what 2D approaches simplify away: complex terrain, row-to-row variation, and how light actually reaches each module.
Most renewable energy software covers one asset type or one phase of an asset’s life. EnurgenOS brings solar, battery storage, and ROC workflows into one platform, from design through operations, and integrates with the tools teams already use. Every team works from the same source of data, and nothing gets rebuilt from scratch.
The people building EnurgenOS understand the assets it models. Explaining why a site underperforms takes more than data; it takes knowing how a site should perform in the first place.
Kibby holds a master’s in Power & Sustainable Energy from SUNLAB and a background in electrical and computer engineering. He leads Enurgen’s strategy and its work bringing 3D physics-based modelling to utility-scale renewable energy.
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Christopher leads the science and engineering of DUET™, the physics-based model powering Enurgen’s platform. His prior research includes photovoltaics, photonics, and scientific modeling at Cyrium Technologies and University of Ottawa’s SUNLAB.
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Enurgen was founded in 2022 out of research at SUNLAB, one of the world’s leading solar research centers, at the University of Ottawa. There, founders Kibby Pollak and Chris Valdivia worked from a simple premise: that accurate yield modelling needs the full 3D geometry of a site, not a simplified version of it.
Their research into how sunlight and system behaviour translate into energy output eventually became the DUET™ model, the engine EnurgenOS runs on today. Enurgen now brings that model to renewable energy teams worldwide.
Join the team behind EnurgenOS, a physics-based platform for utility-scale solar. Remote or hybrid, with an office in Ottawa, Ontario.
Run a full loss analysis with DUET. 3 sites. 60 days. Prioritized action plans to recover revenue.
