Clear judgement for complex renewable energy decisions.

Helping wind farm developers, investors, lenders, and advisory partners make better-structured decisions where technical detail, market context, and commercial consequence meet.

Founder

Founded by Stan Herasymenko, OBRAVEN draws on 17+ years across renewable energy advisory and developer roles spanning energy analysis, measurement strategy, and technical-commercial decision support. Stan previously led Mainstream Renewable Power’s global Energy Analysis Group across a multi-GW wind and solar portfolio, supported projects across 30+ countries, and brings earlier hands-on measurement delivery experience including 110+ meteorological masts and floating LiDAR work.

Core capabilities

Energy yield, resource and measurement judgement for decision-critical projects
Independent challenge of technical assumptions, consultant outputs and bankability logic
Technical-commercial integration across disciplines, workstreams and decision gates
Selected support on diligence, procurement and owner-side advisory assignments

Engagement model

Project-based specialist support on defined decision-critical workstreams
Independent owner-side review, challenge, and interpretation of technical outputs
Selected collaboration or fractional support alongside developers, advisory firms, investors, lenders, and diligence teams

Typical decision situations

Not every technical risk is visible from a single report, supplier scope, or discipline. Much of the value lies in spotting where resource campaign design, data quality, assumptions, procurement choices, or specialist inputs are not aligned with the end result – a proportionate, financeable, decision-fit project.

Offshore resource measurement strategy

Hidden risk

Offshore wind resource measurement campaigns can be over-scoped, under-designed, or badly sequenced – leaving clients with either wasted spend or data that will not stand up when bankability matters.

How we help

We help define the offshore measurement strategy from the decision backward – including floating LiDAR campaign design, scope, sequencing, and procurement support – so the campaign is lean enough to be commercially sensible while still robust enough to produce a genuinely finance-grade outcome.

Bankable dataset quality

Hidden risk

A campaign can look compliant on paper yet still under-deliver through weak supplier obligations, QA, maintenance, monitoring, or escalation.

How we help

We help teams set up and govern measurement programmes so that RFPs, contracts, supplier scope, maintenance expectations, review rhythms, and escalation paths are aligned to one objective – a robust, decision-fit, finance-grade dataset at proportionate cost.

Do we need a measurement campaign at all?

Hidden risk

Projects often default into new measurement spend before anyone proves that the decision really needs it.

How we help

We assess whether the right route is a full new campaign, a reduced scope, a different evidence base, or a finance-grade path that avoids new measurements altogether – with the aim of protecting decision quality without buying unnecessary work.

Are the energy yield numbers decision-fit?

Hidden risk

Seller and consultant cases can look plausible while still carrying optimism that is too aggressive for the decision at hand.

How we help

We test whether energy yield assumptions, losses, uncertainty estimates, and technical conclusions are proportionate, defensible, and aligned with the real investment or acquisition decision – including helping clients true up aggressive cases before they become expensive mistakes.

Do the workstreams add up?

Hidden risk

Technical studies can all be completed and signed off, yet still fail to add up to a financeable, decision-ready project.

How we help

We interpret and connect outputs across energy yield, layout, noise, turbine choice, and related disciplines so the combined picture is judged against bankability, deliverabilty, and technical-commercial consequence – not just report-by-report completion.

What tools should we procure or rely on?

Hidden risk

Measurement monitoring, plant design, and energy assessment tools or services are often chosen through habit, politics, or legacy preference rather than fit for purpose.

How we help

We scope the real need first, then compare relevant measurement, monitoring, energy-analysis, data, and bankability-support tools or services on fitness for purpose, integration, downstream use, and commercial logic – rather than inertia or internal preference.