Make smarter investment decisions today
Multi-site, multi-asset simulations
- Cover all eventualities; model multiple scenarios across multiple sites, with multiple asset variations and multiple commercial models
- Full asset coverage in Gridcog including renewable energy generation, battery storage (AC and DC coupled options), fuel powered generators, EV charging, load and more.
Universal markets model
- Comprehensive markets model - reflect all market rules and regulations. Including, wholesale, capacity and balancing markets, ancillary services, and certificates
- Data you can trust - rigorously benchmarked by our in-house team
- Plug and play with our Library of price and asset data covering GB, Australia, and Europe or upload your own data.
Gridcog Experts for Your Team
- No chatbots; a real team of Gridcog experts to help you achieve your project outcomes
- In-depth onboarding sessions to get you and your team running simulations immediately
- Intuitive project chat functionality, or bespoke advice sessions catered to your questions
- Not a black box - transparent documentation and model outputs
Flexible Commercial Modelling
- Evaluate different contracting models including PPAs, Subsidies, Direct Marketing, Tolls and Route-to-market arrangements
- Full cashflow modelling for different project stakeholders; automatic calculation of financial metrics
- Model price and load forecast uncertainty or in perfect foresight
Comprehensive battery simulation
- Accurately reflect technical battery parameters and different chemistries
- Reflect warranty conditions including cycling limits, re-powering and degradation
- Easily reflect battery assets responding to in-depth market rules such as bid rounding, headroom and footroom, and churn (virtual trading)
Rich Built-in Analytics
- Quickly review scenario results, from base-level cashflows to inter-asset energy flows
- Fully-downloadable and transparent reports including interval level energy flows
- Detailed, granular charts giving you the confidence you need to make the best energy decisions
Frequently Asked Questions
Gridcog currently supports users across 30+ markets, including GB, Australia, New Zealand and Europe, including Germany, Spain, Poland, Italy, Portugal, Netherlands, Belgium and France. The team is continually adding support for new markets within the platform.
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Gridcog offers flexible plans designed to suit a wide range of users - from individual developers to large enterprise teams. All plans include core features such as integrated market data and direct support from our industry team. Higher-tier plans provide expanded user access, advanced features, multiple energy markets, technical support and access to model all asset types.
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Our team of human energy experts (no chatbots!) are on hand to guide you through an in-depth onboarding process to help you and your team get up to speed and make projects as quickly as possible. The support doesn’t stop there; they are available to support you throughout your Gridcog journey, whether that’s through our intuitive project chat functionality, or hopping on a video call to talk through an issue.
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We regularly benchmark Gridcog simulations against real assets in the market, we make the results of this benchmarking available in our client documentation and set sensible defaults across the platform informed by this work. Our rich Library includes historical pricing data which is updated daily via API and TSO and DSO tariffs are updated in line with updates from the network operators themselves.
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Gridcog’s commercial model is highly flexible and configurable. Clients can model commercial arrangements from subsidies, PPAs to merchant models and more. It’s easy to customise which markets or value streams your assets are exposed to and add additional project stakeholders in the commercial model. Clients can also configure which stakeholder their flexible asset is optimising for and assess how this alters revenues and dispatch patterns.
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Accurately reflecting market rules is imperative. Gridcog includes all of the building blocks and relevant parameters for clients to ensure that local market rules are simulated properly. For ancillary service markets these include, bid rounding, headroom/footroom, activation pricing, energy utilisation, offers accepted and bid intervals (blocks). For wholesale markets these include trading between multiple markets, churn (or virtual trading) and price thresholds required to churn. More parameters exist for capacity and balancing markets as well.
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