India

A research team in India developed a passive solar-panel cooling method using a thin, still layer of seawater placed over the module surface. Tests showed that while a thick water layer sharply reduced energy output, a thin 5 mm layer lowered module temperatures and increased daily energy generation by up to 8.86%.

Scientists in India have developed a novel method to optimize the placement of an EV charging station on the grid, along with the size of its PV generation and battery storage. They have also created a framework for an innovative slot offering.

U.S. researchers have developed a sodium-ion pouch cell that operates reliably at temperatures as low as –100 C. The battery was tested with simulated and real renewable energy sources, including wind and solar, and maintained stable performance in both laboratory and field conditions.

Korean policy analyst focusing on solar power plant siting and permitting, Daun Kim, has reported on her recent trip to India’s Bhadla Solar Park. The analyst highlights how clear siting policies and streamlined permitting helped India scale renewables, something that South Korea can learn as it pursues a 100 GW renewable energy target by 2030.

India added 18 GW of new solar power capacity in the first half of 2025, with over 11 GW installed in the second quarter alone.

Scientists in India have designed a system that uses PV panels, a proton-exchange membrane fuel cell, battery storage, and a supercapacitor. It also relies on an adaptive neuro-fuzzy inference system-based MPPT that reportedly achieves an efficiency of 98.7%.

In its inaugural study of the emerging manufacturing hub in the Middle East and Africa, the quality assurance and technical compliance company has mapped 3.4 GW of module, 2.5 GW of solar cell, and 8.05 GW of ingot nameplate capacity across 27 sites.

The latest Sinovoltaics solar supply chain report about PV manufacturing in India indicates module capacity of 68.4 GW, cell capacity at 24.5 GW, and ingots at 14 GW, with continued growth planned to 2030.

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 India say that photovoltaic-thermal (PVT) systems offer greater performance stability than conventional PV systems in hot climates. Using irradiance and temperature data, the team applied a Random Forest model that predicted efficiency classes with 97% accuracy.