Technology to guide renewable energy
16 September 2013 Ntvmsnbc
IBM’s Hybrid Renewable Energy Forecast brings together large data analytics and air condition modeling technology to predict the efficiency of each wind turbine. This solution consists of a smart system that combines air condition and energy forecast to improve the availability of renewable systems and optimize electrical grid performance.
IBM announced advanced power and air condition modeling technology to help increase the reliability of renewable energy sources. This solution combines weather forecast and analytics to accurately predict wind power and sun energy availability. Thus, it will recognize the opportunity to integrate more edible energy into electrical grid of organizations that offer public service, to significantly improve clean energy for consumers and businesses and reduce carbon emissions. [
Hibrit Renewable Energy Forecasting (HyRef) - This solution called Hybrid Renewable Energy Forecasting - monitors wind speed, temperature and direction while buyers in turbines when using advanced cloud imaging technology and air model capabilities. When combined with analytical technology, the solution based on this data amputation can accurately produce regional weather forecasts in a wind plant from a month to 15 minutes plusm. HyRef can predict the performance of each wind turbine using regional weather forecasts and calculate the amount of renewable energy produced. At this level, predictive will open the front of public service organizations to better manage wind and sun-changing nature and to predict the amount of power that can be guided or stored to the electrical grid. However, other sources such as coal and natural gas of energy organizations will be easily integrated.
]Source: News