Computing giant IBM has introduced an advanced power and weather modeling technology to increase the reliability of renewable energy resources. Called hybrid energy forecasting (HyRef), the solution combines weather prediction and analytics to accurately forecast the availability of wind power and solar energy, which will enable utilities to integrate more renewable energy into the power grid.
According to IBM, “When combined with analytics technology, the data-assimilation based solution can produce accurate local weather forecasts within a wind farm as far as one month in advance, or in 15-minute increments.”
Vice Admiral Dennis McGinn, president and chief executive officer of the American Council on Renewable Energy (ACORE) says, “Utilities around the world are employing a host of strategies to integrate new renewable energy resources into their operating systems in order to reach a baseline goal of a 25 percent renewable energy mix globally by 2025. The weather modeling and forecasting data generated from HyRef will significantly improve this process and in turn, put us one step closer to maximizing the full potential of renewable resources.”
Currently China’s State Grid Jibei Electricity Power Company Limited (SG-JBEPC), is using HyRef to integrate renewable energy into the country’s grid as part of the Zhangbei 670MW demonstration project, the world’s largest renewable energy initiative.
Brad Gammons, general manager of IBM’s Global Energy and Utilities Industry, explains, “Applying analytics and harnessing big data will allow utilities to tackle the intermittent nature of renewable energy and forecast power production from solar and wind, in a way that has never been done before. We have developed an intelligent system that combines weather and power forecasting to increase system availability and optimize power grid performance.”
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