AI Data Centres, Steel Plants & Cities Will Drive India’s Energy Boom — Engineers Must Control Emissions, Say Global Leaders at MIT-WPU

  • ·         India’s electricity demand expected to surge as AI data centres, manufacturing and urbanisation expand rapidly.
  • ·         Experts highlight carbon capture, digital monitoring and skilled engineers as critical to achieving India’s 2070 net-zero target.

Pune: India’s electricity demand is expected to nearly double over the next two decades as manufacturing expands and AI-powered digital infrastructure grows, but industry experts say the real challenge will be controlling carbon emissions rather than producing energy. This was the central message at the 29th Annual Industry-Institute Interaction Program (AIIIP-26) hosted by MIT World Peace University (MIT-WPU), Pune.

The flagship academic-industry forum organised by the SPE MIT-WPU Student Chapter brought together senior leaders from BP, ExxonMobil, Baker Hughes, Chevron and Quorum Software for a panel titled “Reskill. Rewire. Reignite: The Engineering Workforce for Low-Carbon Operations.”

India is currently the world’s third-largest energy consumer and has committed to achieving net-zero emissions by 2070 while reducing emissions intensity by 45% from 2005 levels. At the same time, sectors such as steel, cement, transport, and data infrastructure continue to expand rapidly — making decarbonisation an engineering and technology problem rather than only a policy issue.

Opening the discussion, Ms. Moly Kromah, Head – BP Technical Solutions India at BP, emphasized the complexity of the transition. “The world needs all forms of energy,” she said, noting that the pace toward lower-carbon systems will vary across regions. She stressed that reducing emissions begins with improving efficiency: “The fundamentals have not changed. It is about taking what you know today and using it differently to reduce impact and improve performance.” She highlighted the need to anticipate failures using digital tools and operate facilities more efficiently rather than simply adding redundancy that increases emissions.

Ian McPhee of ExxonMobil pointed to carbon capture and storage (CCS) as a practical extension of traditional engineering capability. Addressing carbon capture and storage, he explained that the skills required for low-carbon solutions are rooted in traditional engineering expertise. “It takes the same reservoir engineering and geoscience skills to sequester carbon as it does to produce oil and gas. That is why our training hasn’t drastically changed, because the fundamentals still matter.”

From the services and technology perspective, Pradeep Shukla of Baker Hughes noted growing interest in carbon capture projects, including geomechanical studies and well designs tailored for CO₂ storage. “The skills remain the same. What changes is how we apply them, whether it is carbon capture, efficiency improvement or emissions reduction,” he said. He also emphasized how structured operational data and machine learning are enabling predictive maintenance, helping prevent unnecessary shutdowns and reduce energy losses.

Mr. Chetan Chavan of Chevron highlighted the importance of carbon literacy across the value chain. He noted that engineers must understand “where the carbon is coming from, the monitoring technologies, regulatory frameworks and mitigation pathways.” Strong engineering foundations, he said, must now be complemented with digital fluency and systems thinking.

Addressing the role of artificial intelligence in decarbonization, Ms. Titiksha Mukherjee of Quorum Software offered a measured perspective. “What got us here is not going to get us there,” she said, encouraging students to rethink traditional processes. At the same time, she cautioned against overreliance on automation: “AI can make things faster, but it is not autopilot. Engineers will have to manage AI agents and ensure what is being generated makes sense in the real context.” She compared AI oversight to a surgeon supervising a robotic system, technology assists, but responsibility remains human.

Panelists also discussed the emerging impact of digital infrastructure. Rapid growth of cloud computing and AI applications is driving the construction of large-scale data centres, which require continuous power supply and cooling systems, making them among the fastest-growing electricity consumers globally. This trend is expected to significantly influence future energy planning.

Speakers agreed that the energy transition will be gradual, combining hydrocarbons, renewables, hydrogen, geothermal energy and carbon-capture technologies rather than relying on a single source. Engineers, they said, will be central to balancing energy security with emissions reduction.

The session saw extensive student participation, with discussions focusing on future careers and skill requirements. Experts advised students to combine core engineering fundamentals with data science, automation and environmental management.

 

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