Tag: simulations

GE Research nutzt Summit Supercomputer für bahnbrechende Studien zur Windkraft



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Video: Here is a supercomputing simulation showing the instantaneous wind speed in a cross section involving three wind turbines operating in a line. The green and blue are low-speed, low-energy, highly-turbulent wind (called wake) after an upstream turbine extracts energy from the incoming wind. The orange and red are high-speed, high-energy free-stream wind above the height of the turbines. They’re being drawn into the area below to replenish the wake. These are the types of simulations that GE scientists - led by GE Research Aerodynamics Engineer Jing Li – will create to study coastal low-level jets, which produce a distinct wind velocity profile of potential importance to the design and operation of future wind turbines. Li has been granted access to the Summit supercomputer at Oak Ridge National Laboratory (ORNL) in Tennessee, through the U.S. Department of Energy’s (DOE) competitive ALCC (Advanced Scientific Computing Research Leadership Computing Challenge) program, to conduct these studies.

GE-Wissenschaftler wurden von der US-Regierung ermächtigt, auf einen der schnellsten Supercomputer der Welt zuzugreifen, um die Offshore-Windenergie voranzutreiben. (WK-intern) - Dies könnte ein wesentlicher Teil des Windenergiesektors sein, der in den nächsten 10 Jahren voraussichtlich 20% des gesamten US-Energiebedarfs decken wird. GE Research Uses Summit Supercomputer for Groundbreaking Study on Wind Power U.S. Department of Energy grants GE supercomputer access at Oak Ridge National Laboratory in Tennessee GE Research will accelerate new advancements in wind power supporting renewable energy Project insights will bolster the DOE’s leadership in exascale computing for clean power through collaboration with the National Renewable Energy Laboratory (NREL) GE scientists have been authorized

Neue Daten verlangsamen die globale Erwärmung



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Pressebild: Figure 1: Remarkably, estimation of climate sensitivity using the 1927–41 mean gives the same sensitivity estimate as using the 2007–16 mean. Circles show 1872-2016 pentadal-mean changes in net outgoing radiation (cyan pre-1927, blue post-1927) plotted against change in globally-complete surface temperature.The slope of the relationship is inversely proportional to climate sensitivity. Red squares show 15-year means from 1927-41 to 2007-16. Despite the effects of multidecadal internal variability, all the 15-year means lie close to the 1872-2016 pentadal-means regression best-fit line.†

Studienergebnisse deuten darauf hin, dass die zukünftige Erwärmung wesentlich niedriger sein wird als die vom IPCC prognostizierte (WK-intern) - New Data Imply Slower Global Warming A paper just published by the Journal of Climate concludes that high estimates of future global warming from most computer climate simulations are inconsistent with observed warming since 1850. The implication is that future warming will be 30 to 45% lower than suggested by the simulations.   The study estimates climate sensitivity — how much the world will warm when carbon dioxide levels increase* — from changes in observed temperatures and estimates of the warming effect of greenhouse gases and other drivers

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