Advancing sustainability in coking coal
India must take a unified approach of lowering carbon emissions, highlighting the essential role of technological innovation in coking coal and use of AI-ML in steel production. Such interventions can help in significantly reducing the demand of coking coal in a declining global market. Exploring alternate technologies in steel and increased adoption would be the prime driver to reduce coking coal demand. Advancements in manufacturing efficiencies in blast furnace through AI-ML technologies and innovative blends using semi coking coals available in India would optimize the fuel rates and the need for imported coking coal while also moving towards sustainability goals. Furthermore, the adoption of advanced tools—such as IoT, RFID, drones and predictive analytics—enhances operational efficiency in mining through real-time monitoring, leading to lower emissions and improved throughput. While the above initiatives would address the demand and supply scenario, mining activity demands continued focus on air/water quality improvement, reclamation and eco-park development and other renewables and energy efficiency practices from a sustainability perspective.
India towards Atmanirbharta in coking coal supply
Achieving Atmanirbharta in coking coal is not just about improving domestic capabilities, but also about diversifying imports across geographies. The report identifies three key strategies to support India’s self-sufficiency in coking coal. As part of Path 1, the government has set an ambitious target of achieving 140 million tons (MT) in domestic coking coal production by FY 30. This goal is supported by policies promoting private-sector involvement, including the auction of 10 coking coal blocks, and investments in new washeries to improve coal quality for steel production. The Smart Coal Corridor initiative further enhances logistics efficiencies, saving INR21,000 crore annually and reducing emissions from related operations. Path 2 focuses on improving India’s semi-hard coking coal usability, with a goal of reaching a 30% blend ratio that could provide an additional 40 MTPA to 50 MTPA from domestic sources. This goal would be supported by two key interventions—enhancing washeries to increase the use of Indian coking coal and implementing AI-ML approaches to expand blending options with imported prime and semi-hard coals. Path 3 focuses on diversifying imports across geographies, While the share of imports from Australia has gone down, the volumes will keep going up for it to evolve from a supplier to partner. This needs to be augmented by continued increase in volumes from other existing sources like Russia and Mozambique apart from exploration of new options like Mongolia.