Q. AI data centres are projected to demand massive power loads in the coming decade. Discuss its implications for India’s energy security and...
Question
Q. AI data centres are projected to demand massive power loads in the coming decade. Discuss its implications for India’s energy security and climate commitments. (15 marks 250 Words)
Model Answer
Q. AI data centres are projected to demand massive power loads in the coming decade. Discuss its implications for India’s energy security and climate commitments. (15 marks 250 Words)
Paper
GS III
Subject
Economic Development
Syllabus as Per Notification
Infrastructure: Energy, Ports, Roads, Airports, Railways etc.
Topic
AI Data Centres and Energy Security
Approach:
Introduction
Introduce by stating AI-enabled data centres are highly energy-intensive due to continuous computing and cooling requirements.
Body
Briefly give context on rising Power Demand from AI Data Centres
Growth of High-Performance AI Computing, Rapid Expansion of Data Centre Electricity Consumption
Implications for India's Energy Security
Rising Electricity Demand and Grid Stability Challenges, Dependence on Firm Power and Energy Supply Risks, Pressure on Water and Resource Security.
Implications for India's Climate Commitments
Higher Carbon Emissions and Net Zero Challenge, Pressure on Clean Energy Transition, Water footprint and Urban Heat land affect, Incentive for Sustainable Digital Infrastructure.
Way Forward
Formulating National Green Data Centre Policy, Building Resilient Clean Energy and Smart Grid Infrastructure, Adopting Resource-Efficient and Climate-Resilient Data Centre Standards.
Conclusion
Conclude by emphasising the need for integration of renewable energy, advanced cooling and strategic grid modernisation to tackle growing power demand from AI Data centres.
Context
Ministry of Power projected an additional 26.3 GW of power load from AI Data Centres by 2031–32.
Introduction
Artificial Intelligence (AI) is a key driver of India's digital economy, However AI-enabled data centres are highly energy-intensive due to continuous computing and cooling requirements. With the Ministry of Power projecting an additional 26.3 GW of power load from AI Data Centres by 2031–32, balancing digital growth with energy security and climate goals has become critical policy challenge.
Body
Rising Power Demand from AI Data Centres
Growth of High-Performance AI Computing
AI models require high-performance accelerated servers (GPUs/AI accelerators), continuous computation and intensive cooling, making data centres significantly more electricity-intensive.
IEA notes that accelerated servers account for nearly half of the net increase in global data-centre electricity consumption, driven mainly by AI adoption.
Rapid Expansion of Data Centre Electricity Consumption
According to the IEA Energy and AI Report, global data-centre electricity consumption is projected to more than double from around 415 TWh in 2024 to 945 TWh by 2030, driven primarily by AI workloads and digital services.
Implications for India's Energy Security
Rising Electricity Demand and Grid Stability Challenges
The projected 26.3 GW AI data-centre load will significantly increase baseload electricity demand, straining transmission networks and grid reliability.
Concentration of data centres in hubs like Mumbai, Hyderabad, Chennai, Bengaluru and NCR could increase transmission congestion, requiring major investments in grid modernisation.
Dependence on Firm Power and Energy Supply Risks
Data centres require 24×7 reliable power, increasing dependence on firm and dispatchable sources such as coal, gas, nuclear and energy storage to complement renewables.
This may increase reliance on LNG imports, critical minerals and grid equipment, while supply-chain bottlenecks could delay infrastructure expansion.
Pressure on Water and Resource Security
AI data centres require substantial cooling water, with global facilities consuming around 25 million litres per MW annually, increasing the water–energy nexus in water-stressed regions.
Growing competition for water between data centres, households, agriculture and industries can undermine resource security and increase operational risks.
Implications for India's Climate Commitments
Higher Carbon Emissions and Net Zero Challenge
If the projected 26.3 GW demand is largely met through coal-based generation, India's power-sector emissions could rise, slowing progress towards its NDC targets and Net Zero by 2070.
Carbon-intensive investments in power infrastructure may create carbon lock-in, delaying long-term decarbonisation.
Pressure on Clean Energy Transition
AI-driven electricity demand requires expansion of renewable energy, Battery Energy Storage Systems (BESS), pumped hydro and transmission infrastructure to provide firm green power.
Delays in grid expansion and renewable integration could constrain the pace of low-carbon AI infrastructure development.
Urban Heat Island Effect and Environmental Footprint
In Bengaluru, AI data centres are estimated to consume up to 20 million litres of water per day, while their rapid clustering raised concerns over the Urban Heat Island (UHI) effect, waste heat, noise pollution and local environmental stress.
Incentive for Sustainable Digital Infrastructure
Rising environmental concerns are likely to increase the adoption of Green Data Centres, energy-efficient processors, advanced cooling systems and circular resource-use practices.
This can promote climate-resilient digital infrastructure by improving energy and water efficiency while reducing the environmental footprint of AI infrastructure.
Way Forward
Formulating National Green Data Centre Policy
Developing National Green Data Centre Policy on the lines of Singapore Green Data Centre Roadmap by mandating renewable energy procurement, energy and water efficiency standards.
Building Resilient Clean Energy and Smart Grid Infrastructure
Reforming grid connection, permitting and transmission planning, while promoting demand-response mechanisms to enhance grid flexibility.
Best Practice: IEA's "Energy and AI" recommendations on proactive grid planning and flexible electricity systems.
Adopting Resource-Efficient and Climate-Resilient Data Centre Standards
Adopting International Energy Agency-Energy Efficient End-use Equipment (4E) Technology Collaboration Programme-Electronic Devices and Networks Annex (IEA 4E EDNA) efficiency standards for improving data-centre energy performance.
Conclusion
AI data centres are critical infrastructure, but their energy and water demand can impact India's climate goals. By focusing on a strategy that integrates renewable energy, advanced cooling and strategic grid modernisation, India can transform this challenge into an opportunity to lead in sustainable digital infrastructure, advancing both energy security and its Net Zero 2070 ambition.
Value addition
India’s AI data-centre market, currently at $5.5 billion and about 1.6 GW capacity, is set to rise to $90 billion and about 12-14 GW capacity by 2035.
India currently has nearly 300 data centres, consuming around 0.5 percent of the country’s electricity generation. This figure is projected to rise to nearly 3 percent by 2030 as AI adoption increases.
Recent Investments in Data Centres
Reliance is developing a 168 MW data centre at Jamnagar, Gujarat, which will be leased by Meta.
Google has begun constructing a US$ 15 billion, 1 GW AI data centre near Visakhapatnam, which is set to become one of India’s largest AI computing facilities.
Adani Enterprises has also announced plans to invest US$ 100 billion by 2035 and expand its data centre platform from 2 GW to a renewable energy-powered, AI-ready 5 GW capacity.