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I drove a rare solar-electric yacht to test clean-sea propulsion, here’s how it went

I recently set sail on Sunwater Marine’s Ramblin’ Rose, a 40-foot sailing yacht powered by solar panels and electric propulsion.


While we at Electrek often tend to focus on electric vehicles taking over roads, it’s important to remember that our inevitable abandonment of fossil fuels stems to all modes of transportation, whether it’s by land, air, or even the sea. I recently had the opportunity to set sail on Sunwater Marine’s Ramblin’ Rose, a 40-foot sailing yacht powered by solar panels and electric propulsion. It’s one of the only vessels of its kind on the West Coast.

It was founded by president James Richmond in 2,020 amid the global pandemic. Richmond had a little more free time to search for a boat for blue water cruising to which he could add solar.

Caltech’s Space-based Solar Power Project could provide Earth with limitless energy

California Institute of Technology (Caltech) has received $100 million in funding for their Space-based Solar Power Project (SSPP), which is developing technology capable of generating solar power in space and beaming it back to Earth.

Caltech describes the project as “collecting solar power in space and transmitting the energy wirelessly to Earth through microwaves enables terrestrial power availability unaffected by weather or time of day. Solar power could be continuously available anywhere on Earth.”

The Space-based Solar Power Project has been underway since at least 2013 when the first donation arrived from Donald and Brigitte Bren. The gift is now being disclosed as SSPP nears a significant milestone: a test launch of multifunctional technology-demonstrator prototypes that collect sunlight and convert it to electrical energy, transfer energy wirelessly in free-space using radio frequency (RF) electrical power, and deploy ultralight structures that will be used to integrate them.

Scientists Build Molecule-Sized “Camera” To Watch Chemical Reactions in Real-Time

The device offers a far simpler way of monitoring how various chemical compounds form during reactions than the methods currently available to scientists, and the team that built the “camera” says it’s already using it to improve the technology behind solar cells.

Controlling the specific order and process of molecular assembly is notoriously difficult, especially at such tiny scales. Thankfully, the scientists realized that they merely had to plunk its components into room-temperature water — along with whatever molecules they wanted to study — and it would piece itself together automatically.

“We were surprised how powerful this new tool is, considering how straightforward it is to assemble,” first study author and Cambridge chemist Kamil Sokolowski said in a press release.

China shows off its Mars cruise drone prototype

China has shown off the prototype of its “Mars cruise drone” designed for surveillance work on future Mars missions, following the historic landing of a robotic rover on the Red Planet a few months ago.

The prototype of the miniature helicopter successfully passed the final acceptance, China’s National Space Science Center (CNNSC) announced on Wednesday. In the images shared by the science center, the prototype looks similar in appearance to NASA’s Ingenuity helicopter, developed for its Perseverance mission this year.

The Chinese prototype sports two rotor blades, a sensor-and-camera base, and four thin legs, but there is no solar panel at the top like Ingenuity.

Solid State Transformers Could Be Key To Smart Grid Functionality

Circa 2017


Transformers are found at generating stations and distribution substations. Their primary function is to reduce the high voltages used to transport electricity long distances to the lower voltages needed by homes and businesses. But today’s transformers only operate in one direction. They are poorly equipped for boosting electricity from local sources — typically wind and solar — to the higher voltages needed to mesh efficiently with the larger grid.

Beginning in 2,010 researchers at the National Science Foundation’s FREEDM Systems Center at NC State introduced the first solid state transformer. It could perform all of the functions of a traditional transformer, but could also redirect power as needed to address changes in supply and demand.

“The SST is a fundamental building block in the smart-grid concept,” says Iqbal Husain, a professor of electrical and computer engineering at the school and director of the FREEDM Center. “It can scale down voltage for use in homes and businesses, but it can also scale up voltage from solar panels or other residential-scale renewable sources in order to feed that power back into the grid. And because the SST is a smart technology, it can switch back and forth between those two functions as needed.”

Aptera opens orders on 1,000-mile solar EV that never needs charging

Circa 2020


Since electric vehicles first started hitting the mainstream, people have been asking “why doesn’t that have a solar panel roof?” The answer has always been the same: solar panels just don’t generate that much power. That’s not a huge problem for solar racers, with their ultra-light weight and super-aerodynamic shapes, but for the minuscule daily range a solar roof would give you on your typical daily driver, you’re still gonna need to plug it in.

Ah, but what if your daily driver was the closest thing on the road to a solar racer? An EV truly designed with ludicrous levels of efficiency as the primary goal? Something so aerodynamically slippery that it makes a mockery of the production car world? Well, that’s the Aptera. And its manufacturers claim that its 180 small solar panels, making up an area of more than three square meters (32.3 sq ft), will harvest enough energy that many drivers will never have to charge it.

The top-spec Aptera can self-generate as much as 45 miles (72 km) of range per day in ideal conditions, which is more than twice the average daily mileage of American car owners. And that doesn’t have to be a terribly large amount of energy, thanks to its extreme frugality.

The potential of deep learning in managing power networks

Dr. Valentin Robu, Associate Professor and Academic PI of the project, says that this work was part of the NCEWS (Network Constraints Early Warning System project), a collaboration between Heriot-Watt and Scottish Power Energy Networks, part funded by InnovateUK, the United Kingdom’s applied research and innovation agency. The project’s results greatly exceeded our expectations, and it illustrates how advanced AI techniques (in this case deep learning neural networks) can address important practical challenges emerging in modern energy systems.


Power networks worldwide are faced with increasing challenges. The fast rollout of distributed renewable generation (such as rooftop solar panels or community wind turbines) can lead to considerable unpredictability. The previously used fit-and-forget mode of operating power networks is no longer adequate, and a more active management is required. Moreover, new types of demand (such as from the rollout EV charging) can also be source of unpredictability, especially if concentrated in particular areas of the distribution grid.

Network operators are required to keep power and voltage within safe operating limits at all connection points in the , as out of bounds fluctuations can damage expensive equipment and connected devices. Hence, having good estimates of which area of the network could be at risk and require interventions (such as strengthening the network, or extra storage to smoothen fluctuations) is increasingly a key requirement.

Privacy-sensitive machine learning

Smart meter data analysis holds great promise for identifying at risk areas in distribution networks. Yet, using smart meter data can present significant practical constraints. In many countries and regions, the rollout of smart meters does not provide full coverage, as installation is voluntary and many customers may reject installing a smart meter at their home. Moreover, even places where there is a successful smart meter roll-out, privacy restrictions must be taken into account and, in practice, regulators considerably constrain what private data from smart meters network operators have access to.

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