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Category: sustainability – Page 605

What to do with the lignin?

Learning to deal with lignin is important for recycling and space settlements. Unused biomass on space settlements and long-term voyages is something that just can’t be tolerated. The same problem exists in dealing with plant waste on earth. A new process helps convert it into a precursor for polyester, which can be used for all kinds of other materials.

Plant cells are composed of three main substances: cellulose, hemicellulose, and lignin. According to Yining Zeng, Michael E. Himmel, and Shi-You Ding in Biotechnology for Biofuels, the composition amounts to “40 to 50% of cellulose, 15 to 25% hemicelluloses, 20 to 25% lignin, and 5 to 10% other components.[1]” For the most part, the only truly useful part is the cellulose and the hemicellulose. The lignin is usually just thrown away. The most common use is fuel for heating units. That’s right. They just burn it.

lignin_procesing_into_polyester_precursor

We can’t keep doing it that way. However, there really isn’t an alternative. Until now. A recent article in Science Daily referenced a new journal article about the use of Novosphingobium aromaticivorans. This is “genus of Gram-negative bacteria that includes N. taihuense, which can degrade aromatic compounds such as phenol, aniline, nitrobenzene and phenanthrene.[2]” Using genetic engineering, they deleted certain genes which allowed the microbe to convert lignin into 2-pyrone-4–6-dicarboxylic acid, which can be converted into polyester. The detailed information is available for free download and was published under the title “Funneling aromatic products of chemically depolymerized lignin into 2-pyrone-4–6-dicarboxylic acid with Novosphingobium aromaticivorans.[3]”

Now any business can access the same type of AI that powered AlphaGo

A startup called CogitAI has developed a platform that lets companies use reinforcement learning, the technique that gave AlphaGo mastery of the board game Go.

Gaining experience: AlphaGo, an AI program developed by DeepMind, taught itself to play Go by practicing. It’s practically impossible for a programmer to manually code in the best strategies for winning. Instead, reinforcement learning let the program figure out how to defeat the world’s best human players on its own.

Drug delivery: Reinforcement learning is still an experimental technology, but it is gaining a foothold in industry. DeepMind has talked of using it to optimize the performance of data centers and wind turbines. Amazon recently launched a reinforcement-learning platform, but it is aimed more at researchers and academics. CogitAI’s first commercial customers include those working in robotics for drug manufacturing. Its platform lets the robot figure out the optimal way to process drug orders.

Scientists use machine learning to identify high-performing solar materials

Finding the best light-harvesting chemicals for use in solar cells can feel like searching for a needle in a haystack. Over the years, researchers have developed and tested thousands of different dyes and pigments to see how they absorb sunlight and convert it to electricity. Sorting through all of them requires an innovative approach.

Now, thanks to a study that combines the power of supercomputing with and experimental methods, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory and the University of Cambridge in England have developed a novel “design to device” approach to identify promising materials for dye-sensitized solar cells (DSSCs). DSSCs can be manufactured with low-cost, scalable techniques, allowing them to reach competitive performance-to-price ratios.

The team, led by Argonne materials scientist Jacqueline Cole, who is also head of the Molecular Engineering group at the University of Cambridge’s Cavendish Laboratory, used the Theta supercomputer at the Argonne Leadership Computing Facility (ALCF) to pinpoint five high-performing, low-cost dye materials from a pool of nearly 10,000 candidates for fabrication and device testing. The ALCF is a DOE Office of Science User Facility.

Igloo : The Passive Igloo Project

Abstract

The aim of the passive igloo project is to explore the possibilities of creating an ecological and self-sufficient habitat by using sound constructive measures and renewable energy resources to guarantee thermal comfort in the most severe cold climates.

The passive igloo is a self-sufficient housing module built into a polar exploration sailboat to accommodate a crew of 2 to 6 people in conditions of severe cold to live and work. In order to test the passive igloo, the boat was voluntarily trapped in the ice in North West Greenland during the winter of 2015–2016 and monitored during the 10 months of ‘stationary navigation’.

Startup Says Its Electric Car Charges to 80 Percent in 5 Minutes

Porsche made headlines for a battery it says can be charged with 400 kilometers (250 miles) of range in 15 minutes. If Piëch’s claims about a 4:40 charge hold up, Engadget pointed out, they’ll blow Porsche’s technology out of the water.

“We have developed a sports car that we ourselves would like to buy, and we talked for a long time to many enthusiasts about what was missing on the market,” co-founder Toni Piëch said in the press release. “We want to offer a modern classic that isn’t subject to consumer cycles. The driver of this sports car should enjoy any minute they can spend in the car.”

READ MORE: Piëch’s electric coupe charges to 80 percent in five minutes [Engadget] .

Exploring China’s latest space ambitions

China says it is working to develop a solar energy plant in space that could one day beam enough power back to Earth to light up an entire city.

If scientists can overcome the formidable technical challenges, the project would represent a monumental leap in combating the Earth’s addiction to dirty power sources which worsen air pollution and global warming.

A space-based solar power station could also provide an alternative to the current generation of earthbound and relatively ineffective renewable energy sources.

Quantum computing: Testing qubits has been put in a faster lane

A way to speed up quantum computer tech progress has arrived from Intel. If you are interested in following the waves and advances in quantum computing, then get familiar with this word trio: Cryogenic Wafer Prober. Before their design, the electrical characterization of qubits was slower than with traditional transistors. Even small subsets of data might take days to collect.

Drug development. Chemistry. Climate change. Financial modeling. Scientists in all areas look forward to more advancements to push quantum computers to the frontlines. Speeding progress could also mean speeding up advancements in science and industry.

“Quantum computing, in essence, is the ultimate in , with the potential to tackle problems conventional computers can’t handle,” said Intel.

With Every Breath You Take, Thank the Ocean

When was the last time you thought about your breathing? Take a breath right now and think about it. You breathe because you need oxygen, a gas which makes up 21 percent of the Earth’s atmosphere. All that oxygen has to come from somewhere. You might already know that it comes from photosynthetic organisms like plants. But did you know that most of the oxygen you breathe comes from organisms in the ocean?

That’s right—more than half of the oxygen you breathe comes from marine photosynthesizers, like phytoplankton and seaweed. Both use carbon dioxide, water and energy from the sun to make food for themselves, releasing oxygen in the process. In other words, they photosynthesize. And they do it in the ocean.

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