Student Details

Arunkumar Bheemanalli

Link to student’s project: IMURA1136

Project: IMURA1136

Supervisors:

Prof. Manish M Pande (Dept. Of Metallurgical Engineering and Materials Science, IIT Bombay)

Prof. Nurni N. Viswanathan (Dept. Of Metallurgical Engineering and Materials Science, IIT Bombay)

Prof. Stuart DC Walsh (Woodside Monash Energy Partnership, Monash University)

Biography and Project Details:

Having fascinated deeply in research and development, while pursuing my postgraduation in Manufacturing Engineering, I have Joined Central Manufacturing Technology Institute Bangalore to work with the scientists and other research giants which ignited the spark in me to progress further in the field with a great zeal. I continued to work later as a researcher and teacher in the mechanical engineering domain for few years prior joining to PhD at IITB-Monash University.

My Project focuses on finding the ways of green steel production in a useful and cost-effective manner while keeping the carbon emissions to minimum. Navigating the transition to a green steel economy presents a significant challenge for both India as the future leader in steel production and Australia as the world’s largest producer of iron ore. There are several key factors that will influence the trade in green steel and related commodities between the two countries: the manner and locations in which the steel and its precursors are produced; the types, grades and magnitudes of the iron ore reserves in both countries; and the local availability of renewable power. This project seeks to model the production and trade of green steel and related commodities between Australia and India, and to develop economic tools to help industry and government to understand the challenges and identify opportunities associated with particular development options. It will assess the combined resource base for renewable power and iron ore within Australia and India, and create a technoeconomic model that simulates development pathways for these resources under different future demand profiles.