Researchers at Fudan University have developed a new, low-cost catalytic cycle for efficient separation, storage, and transport of industrial crude hydrogen.

Researchers have successfully deployed five deep learning algorithms to significantly improve forecasting accuracy for hybrid renewable energy systems.

Field tests have begun on photovoltaic, photovoltaic-thermal, and thermal solar modules to power a commercial biogas plant in Central Europe.

Researchers at Xi’an Jiaotong University have developed a novel self-biased hybrid photoelectrochemical (PEC) water splitting system that significantly boosts solar-to-hydrogen (STH) conversion efficiency.