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.
GoodWe has released its BAT series battery cabinet for small to mid-scale commercial projects, with two capacities at launch at 102.4 kWh and 112.6 kWh, and outdoor use in mind.
The European Patent Office says China has overtaken other countries in photovoltaic patent filings over the past 15 years, while European startups and universities retain a lead in agrivoltaics and niche solar applications.
A new solar mapping tool in the Philippines shows that the country’s rooftop solar capacity exceeds 1.8 GW. Its creators say the platform can be used to track unregistered solar rooftop capacity.
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.
Researchers at the Tokyo University of Science have shown that using copper can eliminate defects in sodium manganese oxide battery types, boosting battery cycle life.
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.
Tech specialists at the “Technological advancement and risk mitigation” panel identified safety and warranties as the key pillars of quality in the battery storage sector. Speakers discussed how these factors shape component selection and long-term project viability.
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.
This website uses cookies to anonymously count visitor numbers. View our privacy policy.
The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.