Advances in exascale computing algorithms and models for multiscale atmospheric flows are leading to new wind turbine designs and on-site power-maximising strategies previously not possible, explains Brooke Van Zandt at NREL. The models can contain and process two billion grid points, simulating the air flow around turbines in a large wind farm with unprecedented accuracy. Van Zandt describes how the new tools are being used to deal with highly … [Read more...]
Event summary: Electricity Market Design – how can reforms accelerate the Transition and help cut energy prices?
Here is our written summary of our online panel discussion held last week on the EC’s Electricity Market Design reform proposal. Catharina Sikow-Magny, Director, DG ENER presented the main elements of the proposal, and answered questions from the panellists: Wanda Buk, VP for Regulatory Affairs, PGE Polska Grupa Energetyczna; Leonardo Meeus, Director, Florence School of Regulation; Jérôme Le Page, Chair of Electricity Committee, Federation of … [Read more...]
Electricity Market Design: how can reforms accelerate the transition and help cut energy prices?
*** REGISTER NOW *** for our online panel discussion on Friday 24th March 09:30-10:45 CET, “Electricity Market Design: how can reforms accelerate the transition and help cut energy prices?” Our panellists are Catharina Sikow-Magny, Director, DG ENER; Wanda Buk, Vice-President for Regulatory Affairs, PGE; Leonardo Meeus, Director of the Florence School of Regulation; Jérôme Le Page, Director for European Electricity Markets, EFET; Michaela … [Read more...]
Convolutional neural networks: facial recognition AI applied to analysis and design of Advanced Nuclear Reactors
Scientists are looking for new ways to predict how materials survive high temperatures, pressures and corrosion levels, and design new materials that can do so. Temperatures can reach 800 Celsius in parts of solar energy plants and advanced nuclear reactors. Dave Bukey at the Argonne National Laboratory looks at research that uses convolutional neural networks – a type of AI – to uncover patterns in huge data sets. The method is over 2,000 faster … [Read more...]
Study identifies causes of soaring Nuclear plant cost overruns
Why does nuclear power cost so much when the technology has had decades to get it right? MIT’s David Chandler explains how researchers there have identified the main causes of the cost overruns in the U.S. It turns out that building new plants by copying existing designs actually costs more. That’s because site-specific constraints mean problems are being fixed during construction, adding to costs and delays. New types of concrete are being … [Read more...]
AI software to improve Nuclear reactor designs, performance, safety, lifetimes
Nuclear plants have high up-front costs, complex processes occurring all the way down to the molecular level throughout their decades-long lifetimes, and strict safety criteria. Modelling all the parameters and predicting the outcomes has traditionally begun with theory and observation followed by simulations, the results of which are fed back into the next round of theories, and repeated until those results look valid. The quality of the … [Read more...]