What Gridcog Does

Gridcog is a techno-economic simulation platform that lets energy professionals model generation, storage, flexible load, grid constraints, network tariffs, and market participation across the full project lifecycle — from first concept through to investment decision . The platform is designed for multi-market, multi-site, and multi-asset projects. Users can assess utility-scale solar and wind, battery storage, EV charging, microgrids, distributed energy resources (DERs), and energy-as-a-service (EaaS) structures . Every assumption is transparent and every result is available down to the interval level, backed by deterministic computational modeling and mathematical optimization .

Scale of Use and Key Customers

Gridcog has been used to model more than 16,000 energy projects across over 40 markets . Customers include Octopus Energy Generation, Shell, Greenvolt, NextEnergy Capital, European Energy, Vestas, and PwC . The company was founded in Australia and now has offices in London, Berlin, Madrid, Perth, and Melbourne .

Why Flexibility Modeling Matters Now

The funding comes as renewable energy additions dominate new power capacity, but integrating them requires far more than just solar and wind — it requires storage, flexible demand, and co-located/hybrid projects that make the best use of scarce grid connections . Energy projects have become significantly more complex, with different regulations, tariffs, and operating constraints across markets. Accurately modeling performance in that environment has become the difference between a project that gets funded and one that does not . ABB’s President of Electrification Service noted that "the energy transition increasingly depends on projects that combine renewables, storage and flexible loads, making accurate modelling more important than ever" . The investor consortium — spanning industrial electrification, energy trading, project development, and consulting — signals that transparent, rigorous flexibility modeling is becoming foundational for the next phase of the energy transition .

What Gridcog Does

Gridcog is a techno-economic simulation platform that lets energy professionals model generation, storage, flexible load, grid constraints, network tariffs, and market participation across the full project lifecycle — from first concept through to investment decision . The platform is designed for multi-market, multi-site, and multi-asset projects. Users can assess utility-scale solar and wind, battery storage, EV charging, microgrids, distributed energy resources (DERs), and energy-as-a-service (EaaS) structures . Every assumption is transparent and every result is available down to the interval level, backed by deterministic computational modeling and mathematical optimization .

Scale of Use and Key Customers

Gridcog has been used to model more than 16,000 energy projects across over 40 markets . Customers include Octopus Energy Generation, Shell, Greenvolt, NextEnergy Capital, European Energy, Vestas, and PwC . The company was founded in Australia and now has offices in London, Berlin, Madrid, Perth, and Melbourne .

Why Flexibility Modeling Matters Now

The funding comes as renewable energy additions dominate new power capacity, but integrating them requires far more than just solar and wind — it requires storage, flexible demand, and co-located/hybrid projects that make the best use of scarce grid connections . Energy projects have become significantly more complex, with different regulations, tariffs, and operating constraints across markets. Accurately modeling performance in that environment has become the difference between a project that gets funded and one that does not . ABB’s President of Electrification Service noted that "the energy transition increasingly depends on projects that combine renewables, storage and flexible loads, making accurate modelling more important than ever" . The investor consortium — spanning industrial electrification, energy trading, project development, and consulting — signals that transparent, rigorous flexibility modeling is becoming foundational for the next phase of the energy transition .