Bankable energy modelling software, from inputs to IRR.
Watch Gridcog model a German solar farm retrofit with co-located battery storage, an existing subsidy and a shared grid connection. Every assumption stays visible, so lenders can trace the IRR back to its inputs.
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Modelling bankable hybrid utility-scale projects
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Wind, solar, storage and auxiliary loads, configured granularly and optimised together, so you see what the whole site earns.
Flexible connection agreements, renewable priority rules, degradation schedules, battery availability and ramp rates.
PPAs and subsidies alongside FCR, aFRR and wholesale trading, day-ahead swaps and revenue floors, with capex and opex optimised at every interval.
Assets dispatch on price and generation forecasts, as traders and optimisers do, so the revenue a lender sees is revenue the asset could have earned.
Interval-level cash and energy flows, summarised into revenue streams, IRR, ROI and payback, ready for your financing model.
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See Gridcog on your own project.
Tell us a little about what you're modelling and we'll shape the demo around it. Bring your own price curves and assumptions, or use ours.
The team behind Gridcog
Fabian Le Gay Brereton
Chief Executive Officer & Co-Founder
Previously co-founded Greensense, acquired by ERM Power (now Shell Energy).
Pete Tickler
Chief Product Officer & Co-Founder
Co-founded Greensense and led digital innovation at ERM Power (now Shell Energy).
Genna Boyle
Chief Commercial Officer & Head of EMEA
More than 10 years in energy strategy, trading and renewables, with senior roles at Battery Optimiser and Limejump.
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Questions before you talk to us.
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What is bankable energy modelling software?
Software that models an energy project's physical and commercial performance in enough detail for lenders and investment committees to trace every result back to its assumptions. Gridcog does this for solar, storage, hybrid and behind-the-meter projects, interval by interval, across 40+ markets.
How is Gridcog different from other energy modelling software?
Gridcog co-optimises the full revenue stack in one solve. Assets dispatch on a forecast and settle on actual prices, and every participant and contract in the project is modelled. Every input, constraint and assumption is visible, so any result can be explained.
Is Gridcog better than a spreadsheet model?
For a single asset with one revenue stream, a spreadsheet can be enough. Once a battery, an offtake contract and a constrained connection interact, Gridcog models them together, interval by interval, with every assumption visible. The same method can then be reused across sites and markets instead of being rebuilt for each project.
Can I use my own price curves?
Yes. You can run a project on the price forecasts you choose. Compare several curves side by side to see the full range of returns, from merchant downside to contracted upside.
Which revenue contracts can Gridcog model?
Merchant exposure, power purchase agreements (PPAs), contracts for difference (CfDs), subsidies such as Germany's EEG, tolling agreements, swaps and revenue shares. Each participant gets their own cash flow, so you can see how value and risk split between developer, owner, optimiser and offtaker.
Who uses Gridcog?
Developers, independent power producers (IPPs), investors, utilities, energy majors and consultants, along with large energy users and fleet operators. Teams use Gridcog to evaluate solar, storage, hybrid and behind-the-meter projects before they commit capital.
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