October 28, 2026

CIL plans data centres in closed mines to boost infra, sustainability (Soban News)

Coal India Limited (CIL) was evaluating the potential of establishing data centres in its decommissioned mines, leveraging existing infrastructure to meet the country’s growing demand for digital capacity while advancing sustainable development.
The state-owned miner had already taken steps for a comprehensive feasibility study by consultants, officials told PTI.
The exercise will include a conceptual study of setting up data centres in India with a special focus on their viability within decommissioned CIL mines.
The study will cover site assessments, preparation of a comparison matrix for evaluating identified locations, and a Preliminary Feasibility Report (PFR) for the most suitable site. Four sites across CIL subsidiaries Umrer (WCL), Saraipali in Korba (SECL), Himgir Rampur near Jharsuguda (MCL), and Nigahi (NCL) have been shortlisted.
“The scope of work involved a detailed analysis of the data centre industry in India and globally, classification of models such as hypersca

​Coal India Limited (CIL) was evaluating the potential of establishing data centres in its decommissioned mines, leveraging existing infrastructure to meet the country’s growing demand for digital capacity while advancing sustainable development.
The state-owned miner had already taken steps for a comprehensive feasibility study by consultants, officials told PTI.
The exercise will include a conceptual study of setting up data centres in India with a special focus on their viability within decommissioned CIL mines.
The study will cover site assessments, preparation of a comparison matrix for evaluating identified locations, and a Preliminary Feasibility Report (PFR) for the most suitable site. Four sites across CIL subsidiaries Umrer (WCL), Saraipali in Korba (SECL), Himgir Rampur near Jharsuguda (MCL), and Nigahi (NCL) have been shortlisted.
“The scope of work involved a detailed analysis of the data centre industry in India and globally, classification of models such as hypersca 

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