China-based solar technology company Trinasolar has partnered with Singapore’s Nanyang Technological University (NTU) to develop artificial intelligence (AI)-driven tools aimed at improving energy storage applications. The collaboration seeks to enhance investment decision-making, optimise system stability, and improve forecasting capabilities for solar and wind energy generation.
As part of the agreement, Trinasolar and NTU will develop a techno-economic modelling tool that integrates meteorological data, electricity price trends, and market regulations. This tool will generate optimal storage configurations while providing investors with financial metrics such as return on investment (ROI) and payback periods to support strategic planning.
The project will also focus on machine learning-driven forecasting models to predict renewable energy generation, local electricity demand, and market fluctuations. These models will allow energy storage systems to adjust charge and discharge cycles autonomously, ensuring supply-demand stability while maximising cost savings.
In addition, the partnership will explore intelligent energy management algorithms for applications such as energy arbitrage, peak shaving, and ancillary services. These self-learning algorithms aim to improve asset utilisation and enhance the profitability of energy storage solutions.
The research will be led by NTU’s Energy Research Institute (ERI@N) and Trinasolar’s R&D division, with a focus on accelerating AI applications in renewable energy storage and management.
(Source: PV Magazine)
