The Fellows Program is an effort of the university’s Energy Data Analytics Lab, which is working to position Duke University as an international leader in the emerging area of energy data analytics. The Energy Data Analytics PhD Student Fellows program, designed to support a cohort of four doctoral students in 2018-2019 and a second cohort of four in 2019-2020, is funded by a grant from the Alfred P. The result? Unprecedented opportunities to analyze and make better decisions about how we generate, transmit, and consume energy.Īt Duke University, a new program is pushing past traditional disciplinary boundaries to develop scholars prepared to seize these opportunities, deftly using data and advanced quantitative methods in pursuit of accessible, affordable, reliable, and clean energy systems. The last decade has ushered in astounding growth in the amount of energy-related data, along with game-changing developments in machine learning and other innovative data science techniques. In spring 2020, the GEDC team, along with the other 42 teams, will pitch NSF for Phase II funding of up to $5M to implement the GEDC platform and undertake focused data collection in high-priority areas.įor more information, contact Braden Welborn at the Duke University Energy Initiative: or (919) 613-0436. “With this innovative approach, NSF is making a meaningful investment in helping researchers build strong public-private partnerships to tackle important challenges facing our country and world.” “The Convergence Accelerator program is designed to equip multi-institutional research teams to establish robust stakeholder networks that make their work actionable and impactful,” explained Douglas Maughan, NSF Convergence Accelerator Office Head. Over the next several months, NSF will conduct intensive workshops with the Convergence Accelerator grantee cohort, building teams’ capacity for working effectively with diverse stakeholders and for pitching their efforts to potential partners, investors, and users.
Dylan Harrison-Atlas (National Renewable Energy Laboratory).
Steven Rose (Electric Power Research Institute) and Dr. Brian Murray (Energy Initiative and Nicholas School of the Environment, Duke University) Johannes Friedrich (World Resources Institute) Dr. Jordan Malof (Pratt School of Engineering, Duke University) Dr. Kyle Bradbury, managing director of Duke University’s Energy Data Analytics Lab and the project’s principal investigator.Ĭo-principal investigators are Dr. “We want to make it easier than ever for researchers, innovators, and decisionmakers to access and use data to advance energy systems that are reliable, affordable, accessible, and sustainable,” explained Dr. Ultimately, the team envisions the GEDC will improve public access to energy data and insights, thanks to the creation of curated and centralized databases, online tools, and visualizations. These efforts will inform and drive an energy data research agenda that’s responsive to user demand and real-world problems. The project team will inventory existing energy data and craft data interoperability guidelines to support a more coordinated research network. The project is one of 43 funded through NSF’s Convergence Accelerator Pilot, which brings multidisciplinary, multi-institutional teams together “to focus on grand challenges of national importance that require a convergence approach.” The GEDC project is part of the pilot’s “Harnessing the Data Revolution” track, which supports the creation of open knowledge networks that offer public access to vast amounts of pooled information and ideas.ĭuring the nine-month Phase I funding period, the GEDC team will work with stakeholders from academia, industry, and the nonprofit sector to identify high-priority data needs and evaluate potential methods for collecting those data, such as using machine learning to extract large-scale systems data. The Global Energy Data Commons (GEDC) would enable public access to open energy information, helping overcome persistent challenges in energy data availability and interoperability.
The National Science Foundation (NSF) has awarded a $970,000 grant to researchers at Duke University, World Resources Institute, Electric Power Research Institute, and National Renewable Energy Laboratory to conceptualize a new public platform to create an open knowledge network for high-priority energy data.
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