IBM Introduces Hybrid Renewable Energy Forecasting Technology
(3BL Media/Justmeans) – IBM (NYSE: IBM) has introduced a new power and weather modeling technology that will improve the dependability of renewable energy resources. IBM’s new Wind and Solar Power Forecasting System combines climate modeling with big data analytics to accurately predict the availability of wind power and solar energy.
This technology will help utility companies enhance their ability to integrate more renewable energy into the power grid. Clean energy output will increase, allowing a reduction in carbon emissions for individuals and businesses. The solution has been named “Hybrid Renewable Energy Forecasting” (HyRef). It makes use of advanced cloud imaging technology and sky facing cameras to track cloud movements, while sensors on the turbines monitor wind speed, direction and temperature.
The data assimilation based solution, when implemented in conjunction with analytics technology, will be able to deliver accurate local weather forecasts within a wind farm as far as one month ahead of time, or in 15-minute increments. HyRef makes use of local weather forecasts to predict the performance of every single wind turbine and estimate the amount of generated renewable energy.
With this level of insight available to the utilities, they will be able to manage the variable nature of wind and solar more efficiently, and forecast the amount of power that can be deployed into the power grid or stored more accurately. Energy companies will also be able to integrate other conventional energy resources such as natural gas and coal.
HyRef represents innovation in weather modeling technology, stemming from other game-changing advancements such as Deep Thunder. Created by IBM, Deep Thunder provides high resolution, micro forecasts for weather in a region with computations as fine as every square kilometer. Combined with business data, it can help businesses and governments minimize the effects of major weather events.
Source: PR Newswire
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