Scientists in China have simulated an advanced adiabatic compressed air energy storage, to which they added an elastic airbag with a heavy load situated above it. The energy, exergy, and economic analysis of the system showed that, due to the constant weight of the heavy load, the airbag’s pressure level remains unaltered during operation.

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.

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.

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.

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.

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three PV deployment scenarios, and compared its performance with that of a dozen of competing optimization techniques.

Researchers in Türkiye have conducted an experimental study on the ideal tilt angles for PV systems deployed on canals. Their analysis showed that an 8◦ tilt angle consistently demonstrates greater performance.

Researchers in Hungary have developed a model to calculate the optimal PV and battery storage balance to support the European grid in the next few years. They found that the cost-optimal range is at 530–880 GW of PV, combined with battery storage equivalent to 2.5–7.5% of the total intermittent capacity.