CSTEP’s storage programme has two verticals: 1) techno-economic analysis of various storage systems along with policy aspects, and 2) research and development (R&D) of novel electrode and electrolyte materials for state-of-the-art and emerging battery systems using computer simulation techniques.
The activities pertaining to techno-economic analyses include storage sizing for renewable applications, prioritisation of storage options for various applications relating to clean energy and transport, feasibility analyses of indegenisation of select battery systems, etc.
On the R&D side, we have used the combined strategy of computational quantum mechanics–based Density Functional Theory (DFT) and Artificial Neural Network (ANN, machine learning) to determine high voltage cathode materials for applications in higher energy/power density lithium-ion batteries and related systems.
We have been working in close collaboration with the Defence Research and Development Organisation (DRDO), Department of Science and Technology (DST), Ministry of New and Renewable Energy (MNRE), Solar Energy Corporation of India (SECI), National Institute of Solar Energy (NISE), Indian Institute of Science (IISc), Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), Indian Institute of Technology Bombay (IIT Bombay), IIT Kharagpur, CSIR-CECRI (Central Electro Chemical Research Institute), and Washington University in St. Louise, USA.
