Energy technologies you can model in Gridcog

Yes. Solar, wind, batteries, EV chargers, generators and loads can share a site and grid connection in one Gridcog project. The model applies the connection's export and import limits and co-optimises dispatch across all the assets. You can see, for example, how much solar output a battery absorbs during negative prices and what that adds to the project's cashflows.

Gridcog models battery power and duration, round-trip efficiency, depth of discharge, cycles per day, degradation and warranty conditions, and repowering with capex and opex assumptions. It also reflects market rules that change how a battery earns, such as bid rounding, headroom/footroom and trading across several markets, and can autosize a battery against a site's prices and costs.

MW measures power, the rate at which energy flows; MWh measures energy, the amount delivered over time. A 100 MW power plant running for one hour delivers 100 MWh. For batteries, the ratio of the two gives the duration: a 50 MW, 100 MWh battery can discharge at full power for two hours. More in our guide to MW vs MWh.

It depends on the market's price spreads. Lithium-ion batteries typically run for one to four hours, which suits short price spikes. Where low and high prices last longer, longer durations earn more: in Pete Tickler's New South Wales model, spreads held for 4 and 8 hours, and sometimes 12. Read more on energy storage duration.

Fleet charging uses vehicle schedules, energy use per vehicle and onboard battery size, entered in Gridcog or uploaded from an Excel template for larger fleets. Public chargers are modelled probabilistically. You choose smart, bi-directional or impatient charging, set charger power and efficiency, and add solar or batteries to see the effect on supply costs and the grid connection.

Yes. Gridcog builds site-specific solar and wind yield curves from its built-in weather model and global wind resource data. For wind, you can integrate external modelling from specialist tools instead of Gridcog's built-in power curves. You can also add your own price curves and asset data to the Gridcog Library and use them across projects.

Yes. Gridcog models electrolysers with their efficiency, renewable supply from co-located wind or solar, grid import, hydrogen storage and on-site hydrogen use, and works out the levelised cost of hydrogen (LCOH) for each design. Read how Gridcog approaches electrolyser modelling for green hydrogen.