Model credible energy projects for your clients
Quickly and accurately model energy projects for your clients who are looking to decarbonise and invest in the energy transition. From sites belonging to large users, to logistics microgrids, covering fleet, energy assets and flexibility.
Enable your clients to make smarter investment decisions today
Single Asset to Multi-Asset simulations
Simulate standalone projects or hybrid and multi-asset developments with shared constraints.
- Model greenfield or retrofit renewable projects at any scale, including complying with existing subsidy or PPA agreements
- Rapidly test hundreds of technical and commercial configurations
- Combine solar, wind and batteries with realistic and configurable operational interactions
Transparent and Auditable Outcomes
Know your model inside out and easily share outputs and assumptions with your client.
- Quickly compare scenarios using cashflows and internal rate of return (IRR)
- Analyse interval-level energy flows across the project lifetime
- Fully documented modelling logic.
- Benchmarked Library items.
- Granular results and reports - get your outputs down to 5 minute resolutions.
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Industry Expertise for your Team
Work directly with Gridcog specialists to deliver project outcomes faster.
- No chatbots; real energy market and modelling experts that you can connect with through the software project chat
- Structured onboarding plan to get your team running simulations quickly, with ongoing monthly support
- Built-in documentation for on-demand support
Accurately Reflect Physical and Commercial Requirements
Model the full physical and commercial feature set to accurately represent true-to-life infrastructure and capabilities.
- Physical modelling: Seven assets to model, co-locate assets, configure them granularly, reflect grid constraints
- Commercial modelling: value stack assets, commercial structures, multiple participants (e.g. landlords and tenants), add your data to the Gridcog Library to ensure the project is a true reflection of your client’s site
Battery Modelling Grounded In Technical Reality
Understand how battery design and operating assumptions affect long-term value.
- Easily compare financial and physical impacts of warranties and degradation (cycles/day, efficiency, depth of discharge)
- Model repowering scenarios with CAPEX/OPEX assumptions
- Reflect battery responses to in-depth market rules such as bid rounding, headroom/footroom and trading
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Accurately Model Markets Reflecting Real Market Rules
Simulate how assets actually dispatch and earn revenue under real market conditions.
- Reflect market rules, settlement logic and test new upcoming regulation changes
- Model wholesale energy, ancillary, balancing & capacity revenue streams
- Use Gridcog-benchmarked acceptance rates and energy utilisation for ancillary markets, or use your own assumptions.
- Understand how dispatch outcomes change with asset size and configuration, including forecast uncertainty
“Without Gridcog, we could not have delivered our first major UK project. Beyond the financial return, the software has given us credibility in the market. It has made us a voice of authority when discussing the energy transition with clients.”
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.
Want to find out more? Let’s talk
Gridcog offers flexible plans designed to suit a wide range of users - from small consultancies to large global 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.
Want to discuss a plan for your team? Let’s talk
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.
Got more questions? Let’s talk
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.
Want to find out more? Let’s talk
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.
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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