Deep risk engineering for renewables, resolved from the physics up. Senior judgment for MGAs, brokers, insurers, consultancies and developers — the depth of a specialist, without the overhead of a large firm.
Founder & Principal Consultant
Yorgos holds a PhD in Earth Science and Engineering from Imperial College London, where he specialized in computational fluid dynamics and wind energy. Following his doctoral work, he spent six years at the National Renewable Energy Laboratory (NREL) in Boulder, Colorado, working at the forefront of wind energy research and tool development.
At NREL, Yorgos developed analytical frameworks for assessing how severe weather events — particularly tropical cyclones — affect renewable energy infrastructure. His work combined high-fidelity numerical simulation with large-scale data analytics, producing results that directly informed design standards and bankable engineering assessments.
Today, Yorgos brings that same rigor to commercial projects. He is an active member of the IEC 61400-3-1 TC88 working group — the international committee that defines design requirements for offshore wind turbines — and has hands-on experience across the full Parametrica chain, from mesoscale weather modeling (WRF) through aeroelastic simulation (OpenFAST) to plant-scale wake analysis (FAST.Farm, AMR-Wind).
He has authored over 30 peer-reviewed publications and has worked in commercial wind risk analytics for the insurance market — so Parametrica speaks both languages: the physics that generates a number, and the underwriting, placement, and due-diligence decisions that number has to survive. From 1 July 2026, Parametrica operates full-time under its founding principal.
We think in terms of bankable deliverables. Every analysis we produce — design loads, a wake study, a reliability or lifetime assessment, an EML study, a certification submission — is built to withstand scrutiny from underwriters, owners, lenders, independent engineers, and certification bodies. We use open-source, auditable tools (OpenFAST, FAST.Farm, WRF, AMR-Wind) because transparency isn't optional when millions of dollars are on the line, and because the same physics has to hold from a turbine on a drawing board to a fleet twenty years into its life.
Reliability and lifetime are engineering questions for us, not statistical ones. The same aeroelastic models that defend a turbine in front of a certifier should describe what that turbine actually does — component by component — over twenty years in the field. We resolve those questions asset by asset, with first-principles physics, rather than fitting historical loss data to a portfolio.
Design and lifetime aren't separate problems. The aeroelastic model that defends a turbine at certification should describe what it actually does over twenty years in the field.
Open-source tools, documented methods, results a third party can re-run. Transparency is not optional when millions of dollars are on the line.
Four pillars of physics-based engineering — aeroelastic loads, reliability and lifetime, site-specific risk, and high-fidelity simulation.
Explore solutions → InsightsWhere design ends and insurance begins — writing on floating wind, tropical-cyclone risk, and the engineering behind a number you can defend.
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