While 160 companies around the world have committed to use "100 percent renewable energy," that does not mean "100 percent carbon-free energy." The difference will grow as power grids become less reliant on fossil power, according to a new Stanford study published today in Joule. Entities committed to fighting climate change can and should measure the environmental benefits of their renewable strategies accurately, the authors write.
* This article was originally published here
This Blog Is Powered By Life Technology™. Visit Life Technology™ At www.lifetechnology.com Subscribe To This Blog Via Feedburner / Atom 1.0 / RSS 2.0.
Tuesday, 28 May 2019
Electrified methane reformer produces far less carbon dioxide
A team of researchers from several institutions in Denmark, along with colleagues from Sintex and Haldor Topsoe, has developed an electrified methane reformer that produces far less CO2 than conventional steam-methane reformers. In their paper published in the journal Science, the group describes their new technology and how well it works. Kevin Van Geem, Vladimir Galvita and Guy Marin with the Laboratory for Chemical Technology and Center for Sustainable Chemistry in Ghent have published a Perspective piece on the work done by the team in the same journal issue.
* This article was originally published here
* This article was originally published here
Researchers wonder if ancient supernovae prompted human ancestors to walk upright
Did ancient supernovae induce proto-humans to walk on two legs, eventually resulting in homo sapiens with hands free to build cathedrals, design rockets and snap iPhone selfies?
* This article was originally published here
* This article was originally published here
A quicker eye for robotics to help in our cluttered, human environments
In a step toward home-helper robots that can quickly navigate unpredictable and disordered spaces, University of Michigan researchers have developed an algorithm that lets machines perceive their environments orders of magnitude faster than similar previous approaches.
* This article was originally published here
* This article was originally published here
'Neural Lander' uses AI to land drones smoothly
Landing multi-rotor drones smoothly is difficult. Complex turbulence is created by the airflow from each rotor bouncing off the ground as the ground grows ever closer during a descent. This turbulence is not well understood nor is it easy to compensate for, particularly for autonomous drones. That is why takeoff and landing are often the two trickiest parts of a drone flight. Drones typically wobble and inch slowly toward a landing until power is finally cut, and they drop the remaining distance to the ground.
* This article was originally published here
* This article was originally published here
Subscribe to:
Posts (Atom)