Arctic Master Works Webinar Series

As part of an effort to foster scientific collaboration among Arctic nations, the Master Works webinar series highlights the impact of advanced computing in health sciences, energy, and environmental research.

Northern lights over arctic landscape

This webinar series brings together scientists from the United States, Iceland, and the Nordic countries to discuss compelling scientific challenges of common interest being addressed through advanced computing and to explore opportunities for collaboration. These Master Works events feature two 30-minute presentations followed by a 30-minute panel session, for a total of 90 minutes each.

Webinar Series Organizing Committee

  • Morris Riedel, associate professor, University of Iceland
  • David Martin, Industry Partnerships and Outreach manager, Argonne National Laboratory
  • Henning Úlfarsson, assistant professor, Reykjavik University
  • Steve Hammond, senior research advisor, National Renewable Energy Laboratory
Reykjavik University logo
University of Iceland logo
Argonne National Laboratory logo

Upcoming Arctic Master Works Webinar

Environmental

Fall 2021

The Arctic is warming at a rate of almost twice the global average. This is contributing to rising sea levels, changes in precipitation patterns, increasing severe weather events, and significant changes in sea ice extent. This webinar and panel session features two expert speakers who will discuss the state of sea ice modeling and atmospheric modeling as well as challenges for the future. Learn more about the upcoming Environmental webinar.

Speakers

Elizabeth Hunke
Los Alamos National Laboratory

Halldór Björnsson
Iceland Meteorological Office

Webinar Archives

Dec. 9, 2020

Watch Session 2.

Digitalization for the Future Weather-Driven Low-Carbon Energy System

Henrik Madsen – Professor and Head of Section, Department of Applied Mathematics and Computer Science, Technical University of Denmark

Today energy systems are operated and planned such that the production follows the demand. However, a future low-carbon society calls for systems where demand follows the weather-driven energy production. This highlights a need for a disruption of the whole spectrum of methods ranging energy systems operation to planning. Most importantly we need methods for enabling energy flexibility at all levels of the society; examples being buildings, supermarkets, wastewater treatment plants, districts, and cities. Madsen describes a framework called the Smart-Energy Operating-System for controlling the electricity load in integrated energy systems using big data analytics, artificial intelligence, edge/fog/cloud computing and Internet of things solutions. The framework can also provide ancillary services (like congestion management, voltage, and frequency control) for systems with a large penetration of wind and solar power.

Understanding the Challenges with Integrating Very High Levels of Wind and Solar in Electric Power Systems

Ben Kroposki – Director of the Power Systems Engineering Center, NREL, and Institute of Electrical and Electronics Engineers Fellow

Around the world, electric utilities are setting 100% clean energy goals of which renewable technologies will be a major player. Variable renewable energy like wind and solar photovoltaics differs from conventional generation in that they use power electronic converters instead of synchronous generators to connect to electric power grids. At high levels, there are several technical challenges that must be addressed to ensure reliable and economic operations. Kroposki discusses the challenges and solutions to operating power system with high levels of variable renewables and how power electronic interfaces can be used to solve some of these challenges.

Oct. 28, 2020

Towards Automatic Analysis of Sleep To Improve Health

Jacky Mallet – Assistant Professor, Computer Science, Reykjavik University

Applying artificial intelligence and machine learning to multisensor inputs offers the possibility of significantly improving detection and analysis of increasingly common conditions such as sleep apnea that can cause major health issues over time if left untreated. One of the most important indicators of potential sleep apnea is pathological snoring. Mallet reviews some of the challenges of working in this area and the progress we have made with audio analysis of snoring and other signals as a basis for detecting apneic events.

Overview of High Performance Computing and Artificial Intelligence Computing For COVID-19 in the United States

Rick Stevens – Argonne National Laboratory's Associate Laboratory Director for Computing, Environment, and Life Sciences

Stevens describes some of the ongoing work in the United States applying high performance computing and artificial intelligence to COVID-19 related research. He also discusses the COVID-19 high performance computing consortium that joins U.S. supercomputing centers, computing and technology vendors, and federal agencies to provide high performance computing cycles to the SARS- CoV-2/COVID-19 research community and to streamline access to resources via a single proposal mechanism. Additionally, Stevens discusses the collaboration amongst U.S. Department of Energy laboratories formed to apply advanced computing to the problem of developing molecular therapeutics for COVID-19.