Indonesian and Indian universities develop AI-powered battery storage system
Translated from Indonesian, summarized and contextualized by DistantNews.
At a glance
- Researchers from Indonesia's Sebelas Maret University (UNS) and India's Anurag University are developing an AI-based Battery Energy Storage System.
- The system aims to optimize renewable energy use by accounting for supply uncertainty and battery performance degradation over time.
- This technology is crucial for ensuring reliable renewable energy supply and supporting Indonesia's Net Zero Emission 2060 target.
A joint research team from Indonesia's Sebelas Maret University (UNS) and India's Anurag University is pioneering an AI-driven Battery Energy Storage System (BESS). This innovative technology seeks to overcome the inherent challenges of renewable energy sources like solar and wind, which are often intermittent and unpredictable.
During this time, the planning of energy storage systems has largely considered battery capacity, but has not fully included the factor of performance decline due to usage. Meanwhile, this aspect affects the lifespan, life cycle costs, and investment decisions.
The core of the research lies in developing an optimization model for battery storage systems that crucially considers two often-overlooked factors: the uncertainty of renewable energy production and the inevitable degradation of batteries over their lifespan. Chico Hermanu Brillianto Apribowo, the UNS research team leader, highlighted that while battery capacity is usually the primary planning consideration, the impact of performance decline on battery longevity, lifecycle costs, and investment decisions has been inadequately addressed.
This collaborative project, part of the International Research Network EQUITY THE Impact Rankings 2025, integrates battery degradation modeling, renewable energy system integration, and power system operational constraints into a unified model. Srikanth Goud B from Anurag University emphasized that such intelligent storage systems are vital for future grids increasingly reliant on renewables, needing to adapt their operational strategies based on system conditions.
Energy storage systems are an important component in the development of future electricity grids that increasingly use renewable energy. According to him, the system not only stores energy but must also be able to adapt its operational strategy according to system conditions.
The developed device, featuring an integrated Smart Battery Management System (BMS), has completed its initial build and is now undergoing testing and product certification at the Bandung Institute for Industrial Materials and Goods Standardization and Services (B4T). The UNS team's work is expected to enhance the reliability of renewable energy and contribute significantly to Indonesia's ambitious Net Zero Emission goal by 2060.
The integration of large-scale renewable energy requires storage technology that can work intelligently by considering battery conditions and the needs of the electricity grid.
Originally published by Tempo in Indonesian. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.