--- title: How can we evaluate grid congestion risks with an ‘electrical digital twin’? description: CRISP predicts grid congestion using AI and a digital twin, delivering accurate insights and simulations to support smarter energy and investment decisions. image: https://blogs.itility.nl/hubfs/power-line-tower-sunset-electricity-pylon-energy-grid-infrastructure.jpg --- [![itility](https://blogs.itility.nl/hubfs/blog/img/itility%20logo-01.png)](https://www.itility.nl) - Your industry - [Agriculture](https://www.itility.nl/agriculture) - [Energy](https://www.itility.nl/energy) - [Manufacturing](https://itility.nl/manufacturing) - Our expertise - [Business transformations](https://www.itility.nl/business-transformations) - [Software and data](https://www.itility.nl/software-development/) - [IT foundation](https://www.itility.nl/it-foundation) - [Managed services](https://www.itility.nl/managed-services) - [(Generative) AI](https://www.itility.nl/ai/) - [Who we are](https://www.itility.nl/who-we-are) - [Working at Itility](https://careers.itility.nl) - [About](https://itility.nl/about) - [About Itility](https://itility.nl/about) - [Offices](https://itility.nl/about#office-locations) - [Tech partners](https://itility.nl/tech-partners) - [Responsibility](https://itility.nl/responsibility) - [Contact](https://www.itility.nl/#contact) - Your industry - [Agriculture](https://www.itility.nl/agriculture) - [Energy](https://www.itility.nl/energy) - [Manufacturing](https://itility.nl/manufacturing) - Our expertise - [Business transformations](https://www.itility.nl/business-transformations) - [Software and data](https://www.itility.nl/software-development/) - [IT foundation](https://www.itility.nl/it-foundation) - [Managed services](https://www.itility.nl/managed-services) - [(Generative) AI](https://www.itility.nl/ai/) - [Who we are](https://www.itility.nl/who-we-are) - [Working at Itility](https://careers.itility.nl) - [About](https://itility.nl/about) - [About Itility](https://itility.nl/about) - [Offices](https://itility.nl/about#office-locations) - [Tech partners](https://itility.nl/tech-partners) - [Responsibility](https://itility.nl/responsibility) - [Contact](https://www.itility.nl/#contact) [![Picture of Itility](https://blogs.itility.nl/hubfs/Avatar-Itility.png)](https://blogs.itility.nl/en/author/itility?hsLang=en) Written by:   ## [Itility](https://blogs.itility.nl/en/author/itility?hsLang=en) # How can we evaluate grid congestion risks with an ‘electrical digital twin’? CRISP (Congestion Risk Insight & Simulation Platform) is an AI-platform for grid congestion predictions. It helps policymakers, energy solution providers and grid operators make better informed decisions. Allowing them to smartly spend (tax) money and operate the system more efficiently. ### Data-driven digital twin for accurate congestion forecasting This high-tech platform uses artificial intelligence to analyze and predict where local and regional grid congestion risk is highest. It is not based on contracts for maximum capacity or (gu)estimations, but on actual data. CRISP creates a virtual representation of energy infra (a digital twin of electricity), to predict grid congestion. For this, the digital twin needs reliable data from several sources. #### For CRISP some of these sources are: - Satellites: to detect energy assets such as solar panels, buildings, transformers - Energy systems: for production and consumption data - Public sources: for weather data, land registries, etc. For each asset, energy supply / consumption profiles are modelled and aggregated to sub-station level and subsequently to higher voltage stations, creating a bottom-up view. These are used to create realistic energy use forecasts. ### High-resolution insights and simulation for better energy decisions  With these data sources CRISP creates high resolution insights. These already improve policy and investment decisions. But CRISP also allows for simulations: by submitting scenarios, the impact on a local part of the grid or on existing bottlenecks can be assessed. CRISP can simulate network evolution for energy decisions or even test the impact of specific assets such as adding a battery. The combination of insights and simulations can answer questions such as: what is the best location for a solar farm? Where can large scale energy storage systems best be placed? How many charge stations can we build at this location without creating a bottleneck? Will additional investment be needed in the future? Any scenario, on local, regional or country level, can be simulated to substantiate investment decisions and reduce congestion risk. ### Building CRISP: Earth observation, software blocks and secure cloud development Together with [NEO](https://www.neo.nl/), Itility developers created solution blocks that use earth observation data to create this accurate digital twin of electrical energy infrastructure. Software developers created API’s for several data sources, using low-code solution blocks to process data, and a user-friendly interface for the AI assistant. CRISP can run on any cloud, but we advise the use of a sovereign or private cloud when using sensitive data. 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