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Welcome to MACSER
  • About MACSER
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    • Math for a DOE Grand Challenge
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    • Argonne National Laboratory
    • The University of Chicago
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    • Pacific Northwest National Laboratory
    • The University of Wisconsin-Madison
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    The Math

    Rare, high impact events, raise significant mathematical challenges in the areas of optimization, data analysis, stochastic processes, model reduction, and mathematical representations and frameworks. The MACSER team responds to these challenges by carrying out cutting-edge research in space-time statistics, rare event simulation, optimization under uncertainty, bilevel and nonconvex optimization, uncertainty quantification and model reduction.

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    The Environment

    Environmental drivers, such as major storms or vegetation growth, are the drivers of the most significant disruptions in the electricity supply experienced in the US. It is the mission of MACSER to create the mathematical tools to understand the effects of these drivers on the electricity infrastructure at an unprecedented resolution.

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    Rare Events

    Rare events are difficult to compute and predict but have a very large societal impact. The August 14, 2003, Northeast US blackout affected 55 million people in the US and Canada and was visible from space. MACSER aims to accurately model and effectively simulate such events.

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    The Grid

    The electricity grid is at the core of $400B per year in direct economic activity, and central to US security and prosperity. How to improve its reliability and resilience, particularly when faced with abnormal or extreme environmental events, is the central application theme of MACSER.

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G. Bayraksan elected chair of the Stochastic Programming Society

October 7, 2019 Stephanie Junca
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About MACSER

Multifaceted Mathematics for Rare, High-Impact Events in Complex Energy and Environment Systems

We are a multi-institution project whose aim is to fully explore the opportunities in applied mathematics brought about by multi-disciplinary focus — involving optimization, dynamical systems, stochastic analysis, discrete mathematics, scalable algorithms —  on the DOE Grand Challenge of energy systems.

The central research concept is the one of multi-faceted mathematics — whereby new mathematics is discovered by sustained investigation of the multiple facets presented by the grand challenge subproblems, such as nonconvexity, stochasticity, integrality, spatio-temporal variability — from the perspective of all the mathematics discipline area involved.

Our project involves 25 principal investigators from 4 national laboratories: Argonne National Laboratory, Pacific Northwest National Laboratory, and Lawrence Livermore National Laboratory and three Universities: University of Wisconsin, University of Chicago, and Ohio State University. The project is lead by Mihai Anitescu from Argonne National Laboratory. The project is sponsored by the Office of Advanced Scientific Computing Research of the US Department of Energy, program manager Bill Spotz.

Our research aims to create new multifaceted applied mathematics by means of an integrative research process driven by technical challenges in complex energy systems of national interest. Our findings and capabilities are disseminated through publications,   participations in scientific and broad interest events, mathematical software and outreach.

The Grid

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This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, (ASCR) under Contract AC02-06CH11357

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