May
16
Open Image…Save ImageOpen Image (using #TmpD/ia)… EPFL (École Polytechnique Fédérale de Lausanne) researchers have used a genetic learning algorithm to identify optimal pitch profiles for the blades of vertical-axis wind turbines. Vertical-axis wind turbines with their high energy potential, have until now been vulnerable to strong gusts of wind. The explanatory open access paper has been published Nature Communications. When […]
May
15
Boosting Solar Energy Efficacy In Solar Panels
May 15, 2024 | Leave a Comment
Open Image…Save ImageOpen Image (using #TmpD/ia)… University of Ottawa researchers have now devised a smart approach to optimize solar energy effectiveness. Their innovative method includes incorporating artificial ground reflectors, a simple yet powerful enhancement. The study “Artificial Ground Reflector Size and Position Effects on Energy Yield and Economics of Single Axis Tracked Bifacial Photovoltaics” was published in the journal Progress […]
Apr
11
National University of Singapore scientists have developed a novel triple-junction perovskite/Si tandem solar cell that can achieve a certified world-record power conversion efficiency of 27.1 percent across a solar energy absorption area of 1 sq cm, representing the best-performing triple-junction perovskite/Si tandem solar cell thus far. To achieve this, the team engineered a new cyanate-integrated […]
Feb
15
Integrating Redox Flow Battery With Seawater Desalination
February 15, 2024 | Leave a Comment
Researchers at NYU Tandon School of Engineering achieved a major breakthrough in Redox Flow Desalination (RFD), an emerging electrochemical technique that can turn seawater into potable drinking water and also store affordable renewable energy. In a paper published in Cell Reports Physical Science, the NYU Tandon team led by Dr. André Taylor, professor of chemical […]
Feb
6
AI Isn’t All Bad – Its Great For Manufacturing Solar Cells
February 6, 2024 | Leave a Comment
Open Image…Save ImageOpen Image (using #TmpD/ia)… Karlsruher Institut für Technologie (KIT) researchers and of two Helmholtz platforms – Helmholtz Imaging at the German Cancer Research Center (DKFZ) and Helmholtz AI -have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells when assisted by machine learning. The new methods […]
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