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HPC and the Challenge of Achieving a Twenty-Fold Increase in Wind Energy

Presenter:
Steve M. Legensky  (Intelligent Light)
Masterworks Session
Future Energy Enabled by HPC
Tuesday,  10:30AM - 11:15AM
Room PB253-254
Abstract:
Wind power generation has made tremendous strides over the past twenty years. Progress in turbine geometries, electrical machinery and gearboxes have enabled machine size to grow from 50kW to 5mW. Site selection has also advanced, permitting wind farms to be located where strong, reliable winds can be expected. However, wind farms today are underperforming on predicted cost of energy by an average of 10% and operating expenses remain high. The government’s Advanced Energy Initiative set a goal of meeting 20% of US electricity needs by 2030, a twenty-fold scale up from today’s capability. Meeting this goal requires that performance problems are solved, requiring new tools to design machines and to locate them. Analysis and system-level optimization of the machines, wind farm location and configuration, coupled with accurate meso-micro scale weather modeling will need to be developed and validated. This unsteady, turbulent, multi-scale modeling will only be possible through the use of large scale HPC resources.
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