Toggle light / dark theme

The Hydrogen Stream: Fuel cell engines for stationary power uses

Countries, especially potential exporters, should improve hydrogen statistics to justify and promote investments in hydrogen. The measures should result from broad cooperation, also intended to standardize and homogenize measurements, said Columbia University‘s Anne-Sophie Corbeau. “Countries could start working together to determine how best to collect hydrogen data, both on the demand and production sides, and include existing consumption as well as potential future consumption in new sectors. Statistics on the demand side need to anticipate new uses in buildings, industry, transport, and power, as well as account for hydrogen’s potential use to produce other energy products such as ammonia and methanol,” the French scholar wrote on Monday.

Vancouver-based First Hydrogen has identified four industrial sites in the United Kingdom and is advancing discussions with landowners to secure land rights to develop green hydrogen production projects. It said it would be working with engineering consultants Ove Arup & Partners Limited (ARUP) for engineering studies and designs. “The sites are all in prime industrial areas spread strategically across the North and South of the United Kingdom and will each accommodate both a large refueling station — for light, medium and heavy commercial vehicles with on-site hydrogen production, to serve the urban areas of Greater Liverpool, Greater Manchester, the London area, and the Thames Estuary — and a larger hydrogen production site of between 20 and 40 MW, for a total for the four sites of between 80 MW and 160 MW,” First Hydrogen wrote on Monday. The Canadian company wants to use the production facilities to serve customers of its automotive division. “First Hydrogen’s green hydrogen van is to begin demonstrator testing in June with final delivery for road use in September 2022.”

Grid-Scale Storage Solutions — Plastic & Freeze/Thaw Battery Edition

Plastic and molten salt batteries may be the key to grid-scale energy storage.


Electricity is a marvelous thing. It can power every manner of machine and digital device, but it is ephemeral. It has to be used as soon as it is created or it is lost forever. The trick to making it serve the needs of humanity is to store it, and to do that, you need a battery.

There are hundreds of ways to make a battery — the Romans did it with copper and iron in a lemon juice bath. But not all of those storage techniques are practical in the real world. Some are too heavy, others too bulky. Many are too costly or use materials that are too scare. Nickel has long been a major component of today’s lithium-ion batteries, but upheavals in some countries masterminded by criminal leaders have caused it to triple in price recently.

Some batteries are good for powering vehicles. Others are better suited to long term grid-scale storage. This report will focus on two new battery technologies that show promise for storing electricity now so it can be used to power homes and businesses later.

Thermophotovoltaic “Heat Engine” Design Could Change the Future of Power Grids

There are so many paths we humans are running down in our chase for a greener future it’s extremely hard to keep track of everything. The auto industry is trying to go electric, either by means of batteries or hydrogen, the aviation industry is going for biofuels, while energy production and storage, well, this one is all over the place, betting on anything from the sun to the wind and nuclear.

UrbanDenoiser: An AI application that filters out city noise to allow for clearer seismic sensor data

A team of researchers at Stanford University, working with a colleague at the Chinese Academy of Sciences, has built an AI-based filtration system to remove noise from seismic sensor data in urban areas. In their paper published in the journal Science Advances, the group describes training their application and testing it against real data from a prior seismic event.

In order to provide advance warning when an earthquake is detected, scientists have placed seismometers in earthquake-prone areas, including where quakes do the most damage and harm or kill the most people. But seismologists have found it troublesome to sort out related to natural ground movements from data related to city life. They note that human activities in cities, such as vehicles and trains, produce a lot of seismic noise. In this new effort, the researchers developed a deep learning application that determines which seismic data is natural and which is man-made and filters out those that are non-natural.

The researchers call their new application UrbanDenoiser. It was built using a deep-learning application and trained on 80,000 samples of urban seismic noise along with 33,751 samples from recorded natural seismic activity. The team applied their filtering system to seismic data recorded in Long Beach, California, to see how well it worked. They found it improved the level of desired signals compared to background noise by approximately 15 decibels. Satisfied with the results, they used UrbanDenoiser to analyze data from an earthquake that struck a nearby area in 2014. They found the application was able to detect four times the amount of data compared to the sensors without the filtering.

/* */