{"id":275,"date":"2022-02-02T09:03:00","date_gmt":"2022-02-02T09:03:00","guid":{"rendered":"https:\/\/www.innovationquarter.nl\/en\/?p=275"},"modified":"2026-06-12T09:29:18","modified_gmt":"2026-06-12T09:29:18","slug":"whiffle-raises-funds-to-accelerate-energy-transition","status":"publish","type":"post","link":"https:\/\/www.innovationquarter.nl\/en\/updates\/whiffle-raises-funds-to-accelerate-energy-transition\/","title":{"rendered":"Whiffle secures \u20ac3 million to accelerate energy transition with revolutionary weather model"},"content":{"rendered":"\n

Whiffle, a Delft University of Technology spin-off, has successfully developed cutting-edge technology for highly accurate, localised weather forecasting. Thanks to a \u20ac3 million capital injection from impact investors ENERGIIQ and SHIFT Invest, the company will now be able to expand and achieve rapid growth. Global leaders in the renewable energy sector are already using Whiffle\u2019s model.<\/p>\n\n\n\n

Following developments at Delft University of Technology over a period of many years, Whiffle was founded by Harmen Jonker and Remco Verzijlbergh in 2015. The company offers several advantages over conventional meteorological services, not least the ultra-high resolution of its forecasts. Whiffle runs the calculations of its weather model on graphic processing units (GPUs), allowing local turbulence and underlying processes and conditions in the atmosphere to be captured in greater detail.<\/p>\n\n\n\n

\"The<\/figure>\n\n\n\n

Optimised by artificial intelligence and machine learning, this is the world\u2019s first operational weather model based on Large Eddy Simulation (LES). Whiffle can therefore provide its customers with very fast and accurate weather forecasts that account for various factors such as the local effects of hills, buildings and windturbines. Although the technology can help boost efficiency in many sectors, Whiffle is currently focusing on the renewable energy market.<\/p>\n\n\n\n

Whiffle CEO Harmen Jonker says: \u201cWe can use this investment to further grow the company and bring our weather model to market in a number of sectors. In recent years, we have been working hard to refine the technology and make it easy for customers to use. We are now seeing a significant increase in commercial interest. This investment will allow us to expand even faster and continue to improve our model in the coming years.\u201d<\/em><\/p>\n\n\n\n

Accelerating the energy transition<\/h2>\n\n\n\n

Whiffle\u2019s highly advanced weather model makes renewable energy production more predictable. The technology is of great value to the energy sector because better forecasts reduce the costs of weather risks. More accurate weather forecasting lowers imbalance prices for energy companies, for example, which has a direct effect on their margins. The model can also be used to optimise the configuration of wind farms and better predict future energy yields. This could result in higher yields and lower financing costs. Weather forecasts and wind simulations are of crucial importance to various players in the sector, including energy traders, wind farm owners and developers. The model offers great opportunities in other areas as well, from aviation to agriculture and from shipping to better air pollution forecasting.<\/p>\n\n\n\n

Funding<\/h2>\n\n\n\n

The capital injection is financed by impact investors SHIFT Invest and ENERGIIQ.<\/p>\n\n\n\n

Janneke Bik, partner at SHIFT Invest, says: \u201cWe are impressed with the team and the state-of-the-art technology it has developed. As the growth of renewable resources will make the energy system more weather dependent, accurate simulations and forecasts are crucial to the energy transition. Whiffle therefore fits perfectly with our fund\u2019s objective.\u201d<\/em><\/p>\n\n\n\n

Rafael Koene, fund manager at ENERGIIQ, concurs: \u201cWhiffle\u2019s technology can have a major impact on the energy transition by further reducing the overall costs of renewably generated energy. We have great confidence in the company and its model and are very much looking forward to working with the team.\u201d<\/em><\/p>\n\n\n\n\t

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