oHYSEM is a Python library designed to provide optimal planning, operation, and management strategies for hybrid renewable electricity-hydrogen systems. It enables both stand-alone and grid-connected systems to participate in energy and hydrogen markets, ensuring the integration of new assets and efficient system scheduling.
Ph.D. in Theoretical and Computational Chemistry at IIT Kharagpur, PDRA-I at SNBNCBS, PDF-I at IIT Bombay, PDF-II at uOttawa, Visiting at UW
Hydraulic effects of grid-scale hydrogen storage
The LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project uses advanced natural language processing to improve research efficiency.
Energy, Machine Learning & CFD Analyst
Add a description, image, and links to the hydrogen-storage topic page so that developers can more easily learn about it.
To associate your repository with the hydrogen-storage topic, visit your repo's landing page and select "manage topics."