Energy Assurance

Energy Assurance

This research thrust area involves geographic data driven modeling, simulation, and visualization for analyzing energy resources and infrastructures in facilitating national efforts to modernize the electric grid; enhance security and reliability of the energy infrastructure; and facilitate recovery from disruptions to energy supply. We develop novel capabilities that utilize geospatial data and modeling to address a range of key energy issues spanning from remote sensing data driven resource analysis for renewable energy to transportation modeling and simulation to improve energy efficiency, increase the use of advanced petroleum and non-petroleum fuels, and reduce emissions.

Projects

  • Bioenergy Knowledge Discovery Framework
  • Visualizing Energy Resources Dynamically on Earth (VERDE)
  • A Knowledge Discovery Framework for Americas Transportation System
  • Online Detection of Anomaly, Change, and Change Point from Space-Time Data
  • Mapping the Distribution of Carbon Exchange by Humans in the US
  • Scale Dependent Metrics for Bioenergy
  • A Spatiotemporal Data Mining (STDM) Framework for Monitoring Biomass at Regional and Global Scales

Publications

Publications Related to Energy Assurance

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Highlights

Machine Vision and Applications proposes a new method to infer road networks from GPS trace data and accurately segment road regions in high resolution aerial images
Congratulations to the authors Jiangye Yuan, Anil M. Cheriyadat, Robert Stewart, Marie Urban, Sam Duchscherer, Jason Kaufman, April Morton, Gautam Thakur, Jesse Piburn, and Jessica Moehl

A Bayesian model for integrating population domain knowledge with open source data under uncertainty
Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling.

Lab's Smart Grid Visualization Research Featured in IEEE Newsletter [June, 2012]
An article titled "Virtualization of the Evolving Power Grid" and authored by Olufemi Omitaomu, Alex Sorokine and Varun Chandola in the Computational Sciences and Engineering Division has been published in the IEEE Smart Grid Newsletter.

New ORNL Tool Developed to Assess Global Freshwater Stress [March 23, 2012]
New method to make better use of vast amounts of data related to global geography, population and climate may help determine the relative importance of population increases vs. climate change.

Off the Map [March 2012]
After the March 11, 2011, earthquake and tsunami devastated the coast along Sendai, Japan, a special team at the software company Esri quickly jumped into action.

New ORNL Technology to help KUB Customers Understand Their Bill
January 27, 2012, WATE.COM – If you think there's a problem with your utility charges or how your meter's being read, all you may be able to do is call your utility company.

Grid Visualization Efforts Helped Heal After Hurricane
September 26, 2011 – By many counts, Irene was the worst hurricane the U.S. East Coast has had to contend with since 2003. For those inland areas hit hardest by flooding, restoration will likely continue for years.

Joplin, Missouri Tornado: Do People Fail to Respond to Tornado Warnings?
Jenniffer Santos-Hernandez at Oak Ridge National Laboratory helped conduct a phone survey of more than 600 people in Oklahoma, Kansas, Minnesota, Illinois, Mississippi, Tennessee, and Alabama.