Energy Systems Modeling with High Performance Computing Resources

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When

Tuesday, October 20, 2020
11:00am to 12:00pm

Add to Calendar 10/20/2020 11:00 10/20/2020 12:00 Energy Systems Modeling with High Performance Computing Resources

Climate change coupled with rapid technological innovation is driving large scale change in the global energy system. Computer models of the energy system – referred to as energy optimization system models – provide a way to examine future energy system evolution, test the effects of proposed policy, and explore the role of future uncertainty. Modeling the whole energy system is computationally intensive and requires large input datasets. In addition, in order to deliver insights that are robust to large future uncertainties, it is necessary to iterate the model many times under different scenario assumptions. 

In this talk, Dr. Joseph DeCarolis, Professor in the Department of Construction, Civil, & Environmental Engineering at NC State, will highlight ongoing work using Tools for Energy Model Optimization and Analysis (Temoa), an open source energy system optimization model developed at NC State that is designed to conduct rigorous uncertainty analysis and make use of high-performance computing resources. 

The Research Computing series is a forum for information sharing about high-performance computing, deep learning, parallel computing, and other relevant topics. This talk is being offered in conjunction with Energy Week.

To register for this event click here. Registrants will receive a zoom link prior to the event.

 

Where

  • Virtual

Event Description

Climate change coupled with rapid technological innovation is driving large scale change in the global energy system. Computer models of the energy system – referred to as energy optimization system models – provide a way to examine future energy system evolution, test the effects of proposed policy, and explore the role of future uncertainty. Modeling the whole energy system is computationally intensive and requires large input datasets. In addition, in order to deliver insights that are robust to large future uncertainties, it is necessary to iterate the model many times under different scenario assumptions. 

In this talk, Dr. Joseph DeCarolis, Professor in the Department of Construction, Civil, & Environmental Engineering at NC State, will highlight ongoing work using Tools for Energy Model Optimization and Analysis (Temoa), an open source energy system optimization model developed at NC State that is designed to conduct rigorous uncertainty analysis and make use of high-performance computing resources. 

The Research Computing series is a forum for information sharing about high-performance computing, deep learning, parallel computing, and other relevant topics. This talk is being offered in conjunction with Energy Week.

To register for this event click here. Registrants will receive a zoom link prior to the event.

 

Contact Information

Karen Ciccone

Admission Information

Free and open to the public.

Accessibility

If you require a disability-related accommodation to participate in this event, such as live captioning, please contact Marian Fragola at marian_fragola@ncsu.edu or 919-513-3481 to arrange services. Early requests are strongly encouraged to allow sufficient time to meet your access needs​.