NTU Singapore and Trinasolar to advance AI-powered smart energy storage solutions
Business Announcement
Updates every hour. Last Updated: 29-Jun-2025 07:10 ET (29-Jun-2025 11:10 GMT/UTC)
Nanyang Technological University, Singapore (NTU Singapore) and Trinasolar, a global smart photovoltaic (PV) and energy storage solutions provider, are collaborating to develop smart energy storage systems (ESS) to enhance efficiency, reliability, and economic viability in renewable energy applications.
As solar, wind, and hydrogen energy sources expand globally, energy storage technologies will play a critical role in ensuring power grid stability and optimising energy use.
Led by the Energy Research Institute @ NTU (ERI@N), the collaboration aims to develop AI-driven tools that can improve investment decisions, enhance system stability through intelligent energy forecasting, and deploy smart optimisation algorithms for diverse energy storage applications.
Low-frequency (LF) wireless communication is widely used in challenging environments like underwater, underground, and ionospheric waveguides due to its strong penetration and anti-interference capabilities. However, the demand for miniaturized, high-efficiency, and sensitive antennas in portable platforms presents a significant challenge, as traditional LF antennas are limited by size and performance constraints. Recent advancements have seen optical levitation technology emerge as a promising solution. By harnessing optically levitated nanoparticle resonators, our research has demonstrated a groundbreaking approach to LF communication. These nanoparticle antennas break the conventional size-sensitivity tradeoff, offering ultra-miniaturization and enhanced sensitivity, which is crucial for communication systems. Unlike traditional antennas, the performance of these levitated resonators is independent of their size and their resonant frequencies can be further tuned by adjusting the optical trap. This breakthrough opens new possibilities for applications in IoT, miniaturized communication in extreme environments.
Researchers developed crossing matrices to classify doubly periodic weaves, addressing challenges in mathematical modeling of woven structures. This breakthrough enables systematic analysis of periodic entanglements, with applications in materials science, fabric design, and nanostructure development.
University of Texas at Arlington physicist Ben Jones has received an international honor for his contributions to developing advanced instruments used in particle physics research. Dr. Jones, an associate professor of physics, was awarded the 2025 International Committee for Future Accelerators (ICFA) Early Career Researcher Instrumentation Award. Presented by the ICFA Instrumentation Innovation and Development Panel, the award recognizes significant advancements in the innovation and development of new instrumentation for future accelerator experiments.
A UC Riverside computer science team has developed a sensor-based technology that could revolutionize commercial beekeeping by reducing colony losses and lowering labor costs.
Called the Electronic Bee-Veterinarian, or EBV, the technology uses low-cost heat sensors and forecasting models to predict when hive temperatures may reach dangerous levels. The system provides remote beekeepers with early warnings, allowing them to take preventive action before their colonies collapse during extreme hot or cold weather or when the bees cannot regulate their hive temperature because of disease, pesticide exposure, food shortages, or other stressors.