Researchers in Germany have sought to identify the features that may define the “ideal recyclable solar cell” and have found that the recyclability of PV devices is usually in contrast with the efforts of reaching high efficiencies.
Scientists in Morocco have developed a method that uses the metadata of PV plants’ infrared images to label them geographically. The automatic database can then be used in deep learning models and significantly reduce the time required for data labeling.
The PV device is based on a indium gallium phosphide absorber with an energy bandgap of 1.9 eV. It is intended for use in autonomous Internet of Things (IoT) applications that operate indoors without an external wired power supply.
Scientists have developed a wireless charging system for electric vehicles, with a three-port DC–DC converter at its core. They have simulated the system and tested a prototype in their lab and have found it achieved an improved efficiency of 88%.
Researchers in China have used electrochemical impedance spectroscopy to analyze the state of health of sodium-ion batteries. Extracting four features from the measurements, they were able to create a machine learning model for a temperature-resistant state of health estimation method.
Copper indium sulfide (CuInS2) are still far from reaching commercial maturity but new titanium dioxide nanorod arrays can reportedly improve their light trapping, charge separation, and carrier collection.
A European research group has developed a new “empirical” method for measuring the backside irradiance of bifacial PV system. The proposed approach was tested across several European locations and it was found to enable annual performance calculations with a fixed backside irradiance share value.
Nanyang Technological University researchers have milled solar panel glass waste for use in cathodes used in solid state lithium metal batteries. When used as a functional filler in solid polymer electrolyte (SPE) material, the resulting battery performance was maintained over 80 charge cycles with an 8.3 % improvement over the reference device.
Scientists in india have created a wind-solar system in a tree shape, which combines wind turbines and a PV system with two-axis trackers. The team constructed a hardware-in-the-loop prototype that can generate up to 444.5 Wh per day.
Researchers have combined the theory of planned behavior, the technology acceptance model, and diffusion of innovations theory to investigate rooftop solar adoption in China. From a 1,200-person survey, they found that subjective norms and social influence from peers and community had a surprisingly more substantial effect than personal attitudes or perceived ease of use.
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