India's rapidly growing renewable energy sector faces challenges due to inadequate transmission and grid infrastructure. Recent curtailment incidents, such as ReNew’s scaling back generation, highlight the issue of balancing variable renewable output with demand. Solutions involve modernising the grid, enhancing transmission capacity, and incorporating energy storage and forecasting technologies.

Researchers at the National University of Singapore have developed a coordinated control method for ultra-fast EV charging powered by solar energy, eliminating the need for battery storage systems. This approach addresses the challenges of balancing solar generation, EV demand, and grid stability, potentially reducing installation costs for charging infrastructure by up to 10%.

Researchers from the University of Surrey have developed a breakthrough "lab-on-a-chip" electrochemical platform that enhances the efficiency of renewable-powered carbon conversion technologies. This innovation enables real-time monitoring and AI analysis of chemical processes, aiming to convert CO₂ into valuable fuels and chemicals, significantly contributing to clean energy advancements.

Floating solar photovoltaic (FPV) systems are increasingly popular but face significant degradation uncertainty due to their unique operating environment. Factors such as high humidity, thermal cycling, biofouling, mechanical stress from water movements, and soiling patterns complicate performance predictions. Enhanced monitoring and tailored solutions are crucial for long-term efficiency and reliability.

Researchers at Texas A&M University have created AROMA-GPT, an AI-enhanced monitoring framework for advanced nuclear reactors. This system integrates generative pre-trained transformers with digital twins, facilitating real-time decision support, contextualising sensor data, and ensuring reliability. Its modular design allows adaptability across various reactor types and has potential applications in broader energy systems.