From the Nvidia article:
“AI is extending into every facet of our lives: how we travel, how we produce food, how we work, how we live” …“Smart buildings are one of the most valuable and largest opportunities for this trend.”
One example is wind farm efficiency:
For example, GE’s PowerUp Platform has been extended to become the Digital Wind Farm. With this solution, GE extends analytics and optimization beyond a single wind turbine to the entire wind farm. GE harnessed the power of the emerging Industrial Internet to create the Digital Wind Farm, a dynamic, connected, and adaptable wind energy platform that pairs wind turbines in a wind farm with digital infrastructure to optimize efficiency across the entire wind farm. This platform can account for the wind farm’s topology, surrounding geography, wake effects, and other inputs to control individual wind turbines and optimize the operation as a whole. Through these techniques, the Digital Wind Farm technology boosts a wind farm’s energy production by up to 20 percent and could help generate up to an estimated $50 billion value for the wind industry. The Digital Wind Farm uses interconnected digital technology to address a long-standing need for greater flexibility in renewable power.
Overall, the report’s projections show significant potential, though much work is needed to translate potential into reality.
Nick Robins, head of the Climate Change Centre of Excellence at HSBC, discusses benefits, costs and risks of a transition to a low-carbon economy last September at the Stockholm meeting of the Global Challenges Foundation.
Nick calls this “disruptive change” and describes a “digital networks” wave of disruption giving way to a “climate business” wave of disruption. I would agree, though I think the interesting opportunities lie in the transition from digital networks to climate business.
The keynote speaker of the annual HICSS conference, happening now, is Shwetak Patel, director of the Ubicomp lab at UW and Green IT innovator. Shwetak is reviewing many of the problems I’ve talked about in this blog, in particular, poor information on energy and water use in the home. One angle on this is “Single sensors,” which use machine learning to back out which appliances are drawing which currents.
The choice of Shwetak to address the entire conference in this keynote session underscores the importance of the role of IT in enabling and transforming environmental sustainability, energy reductions, and so forth. The conversation that a few of us began years ago finally appears to be gaining mainstream acceptance. Well done to the conference organizers for making this insightful choice.