The transition to clean energy is one of the biggest challenges of our time. Progress is accelerating, but this progress will grid to a halt if the power grid is not upgraded. Building new power lines takes decades. Already around the world, new solar and wind projects are finding it difficult to obtain a grid connection.
Yet our existing grids are not used to their maximum potential. The ability of the power grid to transport power is extremely sensitive to weather conditions. It’s possible to transmit at least one third more power through the existing high-voltage network by accounting with real-time conditions.
Grid Raven uses machine learning to create hyper-local weather forecasts that can be used for operating the grid more efficiently and unlocking extra capacity. To do so it's necessary to know the position of every tree, hill and building near power lines. This is where satellite data is crucial.
As part of the ESA Business Incubator, we'll be collaborating with space experts to leverage satellite data for improving the weather forecasting models. The year-long programme provides €60,000 of funding, access to technical expertise and connections to leading companies in the field.
ESA Business Incubation Centres (ESA BICs) are the largest network of incubators supporting space related start-ups in Europe. We are very thankful for their support.
Grid Raven's goal is to help increase grid transmission capacity by 30% annually on a global scale by 2030, which could bring the energy transition forward by a decade. The power grid is becoming a bottleneck in the energy transition, but the existing network is not yet used to its maximum potential. Grid Raven offers Dynamic Line Ratings, a Grid Enhancing Technology, based on our machine learning weather forecasting model. This enables grid operators to have a precise overview of the conditions of their network and helps manage the amount of power that the grid can really handle at a given time.
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