Beijing, China and Armonk, NY, USA - 09 Dec 2016: IBM Research (NYSE: IBM) today announced that it will expand its Green Horizons initiative globally to enable city governments, utility companies and factories to better understand and improve their relationships with the environment and to help tackle pressing issues related to air pollution and climate change.
Today's announcement builds on a successful year-long collaboration with the Beijing Environmental Protection Bureau (EPB), expanding to include over a dozen commercial deals and research engagements on four continents. IBM's China Research lab is working with the Beijing EPB to provide one of the world's most advanced air quality forecasting and decision support systems, able to generate high-resolution 1km-by-1km pollution forecasts 72 hours in advance and pollution trend predictions up to 10 days into the future. It models and predicts the effects of weather on the flow and dispersal of pollutants as well as the airborne chemical reactions between weather and pollutant particles. In the first three quarters of this year, the Beijing government was able to achieve a 20 percent reduction in ultra-fine Particulate Matter, bringing it closer to its goal of reducing PM 2.5 by 25 percent by 2017.
The new Green Horizons engagements apply IBM's advanced machine learning and Internet of Things (IoT) technologies to ingest and learn from vast amounts of Big Data, constantly self-configuring and improving in accuracy to create some of the world's most accurate energy and environmental forecasting systems. They include:
An agreement with the Delhi Dialogue Commission to understand the correlation between traffic patterns and air pollution in India's capital and provide the government with what if' scenario modelling to support more informed decision-making for cleaner air.
A pilot program with the City of Johannesburg and South Africa's Council of Scientific and Industrial Research to model air pollution trends and quantify the effectiveness of the city's intervention programs in support of Johannesburg's air quality targets and long-term sustainable development.
Additional clean air projects in China with the Environmental Protection Bureau in Baoding (one of China's most polluted cities) to support the city's environmental transformation; the city of Zhangjiakou (host to the 2022 Winter Olympics) to improve air quality for the outdoor sporting event; and Xinjiang Province in north-west China.
In addition, the program is delivering on its promise to help increase contributions of wind, solar and other renewable energy sources in to national grids. New customer engagements include:
UK energy giant SSE is piloting IBM technology to help forecast power generation at its wind farms in Great Britain. The system is able to forecast energy for individual turbines and includes visualization tools to show expected performance several days ahead.
In Japan, IBM is working with the Toyo Engineering Corporation and renewable energy company Setouchi Future Creations LLC on the Setouchi solar project one of the largest in the country. IBM's monitoring systems will help Setouchi manage and control energy from the plant s 890,000 solar panels.
Through the United States Department of Energy's SunShot initiative, IBM is making renewable energy forecasting technology available to government agencies, utilities and grid operators across the United States to support supply and demand planning.
IBM is working with China s largest wind power solution provider - Xinjiang Goldwind Science & Technology Co., Ltd to use IoT, cloud computing, big data analytics and other advanced technologies to drive innovation and transform Goldwind s business and technological models. Also in China, Shenyang Keywind Renewable Company is using cognitive forecasting technologies to help integrate more energy into the grid.
The Zhangbei Demonstration Project, managed by China's State Grid Jibei Electricity Power Company, is tapping the power of Green Horizons renewable energy forecasting technology to integrate 10 percent more alternative energy into the national grid, enough to power more than 14,000 homes.
Even as society is looking to address some of the biggest challenges of our generation -- environmental degradation and climate change -- two game-changing technologies have emerged that are completely transforming our understanding of the world in which we live, said Arvind Krishna, senior vice president and director, IBM Research. With Green Horizons, we are applying the most advanced cognitive computing and IoT technologies, combined with world-class analytics, to enable forward-looking government and business leaders in their efforts to make better decisions that can help safeguard the health of citizens today while helping to protect the long-term health of the planet.
"Air pollution and climate change are global challenges that require stronger action by government and business," said Bob Perciasepe, president of the Center for Climate and Energy Solutions (C2ES). "To get to a clean energy future, we need accurate data about emissions, air quality and power generation. Advanced technologies can provide crucial insights about our impacts on the environment -- today and in the future."
New Initiatives Build on Success of IBM Clean Air Partnership in Beijing
IBM's Green Horizons initiative is based on innovations from the company's Research Laboratory in Beijing, with contributions from leading environmental experts across IBM's global network of research labs. To help address the issue of air pollution -- considered to be the greatest environmental threat to human health -- IBM has developed next-generation pollution forecasting and management systems which draw on vast amounts of Big
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Beijing, China and Armonk, NY, USA - 09 Dec 2016: IBM Research (NYSE: IBM) today announced that it will expand its Green Horizons initiative globally to enable city governments, utility companies and factories to better understand and improve their relationships with the environment and to help tackle pressing issues related to air pollution and climate change. 
