Asia

Scientists in China have designed a ventilated building-integrated photovoltaic system that relies on flexible solar modules with a weight of 6 kg/m2. The system also uses an airflow channel under the PV panels to reduce their operating temperature and increase their power yield.

Private equity investor Actis has become a strategic partner in a 3.5 GW / 4.5 GWh solar-plus-storage project in the Philippines. The project is poised to become the world’s largest integrated renewables and energy storage installation upon completion.

Chinese multinational Envision Energy has unveiled the world’s most energy dense, grid-scale battery energy storage system packed in a standard 20-foot container.

Singapore has progressed its ambition to import 4 GW of low-carbon electricity by 2035 from neighbouring countries, which includes from Australia’s SunCable project, with the signing of two new agreements.

Chinese solar manufacturer Aiko has achieved Clean Energy Council approval for its 470 W Neostar 2P solar panel, which boasts more power output in less space, with an added shade optimisation advantage.

An international consortium planning to build a 50 GW solar-and-wind energy hub in Australia’s southwest has announced it will partner with Korea’s largest electricity utility to advance the development of what would be one of the largest green hydrogen production facilities in the world.

Conceived by Chinese scientists, the cell was built with new surface reconstruction strategy based on the use of 1,4-butanediamine (BDA) and ethylenediammonium diiodide (EDAI2) as surface modifiers. The device was able to retain 79.7% of its initial efficiency after 550 h.

A team of scientists has used paraffin wax integrated with aluminum oxide and zinc oxide to improve the electrical and thermal performance of a photovoltaic-thermal system. They have also developed a prediction model for this specific combination of hybrid nano-phase change materials.

Researchers have covered part of a rooftop solar plant with varying numbers of shading cloth layers and continued to measure the power, current, and voltage of the system. They have been able to identify a point after which the value of system current and maximum power is no longer sensitive to shading heaviness.

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods, the new approach was found to be the most accurate and third quickest.