Solar car teams from Canada outperformed in two categories of the latest Electrek American Solar Challenge.
Department of Energy’s National Renewable Energy Laboratory researchers used a circular economy framework to determine how to scale, deploy, and design metal halide perovskite solar panels to be easily recyclable in the future.
A new building at Pacific Northwest National Laboratory aims to unite researchers and stakeholders to push forward advancements in grid storage technologies
Researchers from the Chinese Academy of Sciences, Tsinghua University, Chinese Academy of Geosciences, and Columbia University have concluded that solar-covered highways could meet more than 60% of the world’s annual energy needs.
Researchers have created a novel model that can help developers asses corn growth in agrivoltaic facilities. They also proposed to use spatiotemporal shadow distribution (SSD) to optimize crop yield and power production.
Researchers have designed a new tracking system that utilizes an arithmetic optimization-based PID controller. The proposed tracker uses two different sensor types – a UV sensor and a micro-electromechanical solar (MEMS) sensor. The first one calculates the intensity of UV radiation received from the sun, and the second one forecasts the sun’s path across the sky.
The solid-state battery developer announced it has achieved 800 cycles with its battery, marking significant progress towards commercialization. If this trend continues, the development holds promising potential for grid-scale projects.
Also on the rise: Harris names clean energy advocate Governor Tim Walz as VP pick. Atlanta Motorsports Park goes solar. And more.
Researchers from University of Texas have used computational methods to study the formation of polarons in halide perovskites. The findings revealed topological vortices in polaron quasiparticles.
Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power in partial shading tests compared to conventional swarm optimization algorithms.
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