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Topic: Machine Learning

[Episode #77] – Perspectives of an Energy Transition Veteran

Energy transition has been under way for the better part of two decades now, and it’s easy to forget how much the world has changed over the time. We now have a host of energy technologies and consumer tools that didn’t even exist 15 years ago. Utility business models have been turned upside-down and we’re still not sure what they’ll look like in the future. Equally, there has been a transformation in education as it tries to catch up with a rapidly-changing world and an ever-more-urgent call to action on climate change. Viewed up close, the transition now underway can look pretty slow sometimes, but if you back up and review what has transpired over the past 15 years, it has actually been incredibly rapid, at least compared to the historical pace of change.

Few people have been as involved in energy transition over the past 15 years, and have seen it as up close and personal as our guest in this episode. Robyn Beavers has had a remarkable career working in energy transition that included stints at Google, NRG, the Department of Energy, and Vestas, and she did it all starting as a young woman in an industry dominated by men. In this interview she shares some of her insights on how it all has unfolded, and how she has managed to be incredibly successful with navigating the gender disparity. She also explains how her new venture is working to turn the built environment into dynamic energy assets. If you’re a young person interested in breaking into the world of energy, you don’t want to miss this episode!

Geek rating: 7

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[Episode #63] – Pathways to Deep Decarbonization

As energy transition proceeds we’ll need to move well beyond decarbonizing electricity generation and into transportation and space heating powered by renewables. But we’re only beginning to figure out the pathways by which we might do that, and since each region has its own particular sources of renewable energy and its own particular needs for energy, the solutions may vary quite a bit from place to place.

When do we figure out how to decarbonize space heating and transportation? What sorts of challenges will we face in adding those loads to the electricity grid? How much additional generation, transmission, distribution capacity, and storage will we need? How will we manage such a grid? And what if, once we have transferred some of those loads to the grid, it actually starts to look cheaper to not electrify everything? Our guest in this episode has studied such questions for years, and has some surprising insights into how deep decarbonization might actually evolve.

Geek rating: 3

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[Duke Energy Week extra #3] – Storage Potential, the Role of EVs, and Data Analytics

This is a special, free episode of the Energy Transition Show with Chris Nelder, recorded on November 9, 2017, live from Duke Energy Week at Duke University.

In this interview with the Managing Director of the Energy Data Analytics Lab at the Duke University Energy Initiative, we discuss how various storage technologies offer different kinds of services to the grid, and how they should be captured and valued. Could CSP make a comeback? What might the arrival of EVs and the rapid evolution of their batteries mean for the future of the grid? And how can technologies like machine learning and data analytics help accelerate energy transition?

Thanks! 

Thanks to Duke University for making this live taping of the Energy Transition Show possible, and to Leah Louis-Prescott, Elihu Dietz, and the rest of the awesome Nicholas School Energy Club for making it all happen and making us feel welcome and appreciated! You're a class act and you put on a great event.

Disclaimer

The views, opinions, and positions expressed by the author and those providing comments on these podcasts are theirs alone, and do not necessarily reflect the views, opinions, or positions of Duke University, or any employee thereof.

Links

Energy Week at Duke

Energy Week at Duke - Energy Transition Show taping

Geek rating: 8

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[Episode #60] – Demand Flexibility

Demand response and demand flexibility—shifting demand to intervals where electricity is abundant and cheap, and away from when the grid is constrained or power is expensive and dirty—can help keep prices down, optimize the grid overall, and help us integrate more renewable supply into grid power while displacing more fossil fuels. Until recently, this has mainly meant doing simple things like turning off loads during the on-peak intervals of time of use rates. But now new technologies are coming to the grid, including artificial intelligence, machine learning, and the so-called Internet of Things, which could let us moderate loads and operate grid assets in a much more intelligent, precise, and dynamic fashion, taking grid optimization to a new level and reducing the need for peaking resources.

But this is all quite new, and how we’re going to implement it, and what it may require, largely remains to be seen. In this episode we’ll talk with Sara Bell, founder of Tempus Energy, and get a little insight into how some early pilots of these technologies are working in the UK and South Australia. We’ll also get an inside view of her campaign to revise the design of the capacity market in the UK, so that it actually benefits consumers in accordance with the law, rather than distorting markets in favor of fossil fuel incumbents.

Geek rating: 8

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