Will AI fix India’s energy demand or will its own needs snowball?, PgII

Key Highlights:

• A 2024 IEA report projects data center demand to more than double by 2030, with AI as the principal driver.
• McKinsey estimates a 19-22% annual rise in global data center capacity demand from 2023-2030, reaching 171-219 GW.
• India's data center demand is projected to increase from 1.2 GW in 2024 to 4.5 GW by 2030, largely driven by AI and digital adoption.
• AI-driven data centers in India are projected to consume an additional 40-50 TWh of electricity annually by 2030.

Detailed Insights:

• The increasing adoption of AI and digital technologies in India is contributing to a significant rise in energy demand, especially in energy-intensive sectors like real estate.
• Data centers consume 1-2% of total power worldwide, expected to increase to 3-4% by 2030, while the steel industry consumes around 7%.
• AI can help develop energy transition technologies and new materials, mitigating India’s dependence on critical mineral imports.
• Real estate stakeholders are prioritizing energy efficiency, sustainability, and emission reduction, incorporating rooftop solar solutions and solar-integrated building systems.
• The Energy Conservation Building Code and the Roadmap of Sustainable and Holistic Approach to National Energy Efficiency scheme aim to integrate AI and data analytics into smart metering and sustainable building design.
• AI-driven solutions like smart lighting systems and predictive HVAC optimization can reduce energy consumption in the real-estate sector by up to 25%.
• Under the National Smart Grid Mission, AI-enabled systems manage demand and integrate renewables, enhancing grid reliability and reducing wastage.

Key Concepts Involved:

• Artificial Intelligence (AI): Simulation of human intelligence processes by computer systems.
• Data Center: A dedicated space housing computer systems and associated components.
• Energy Efficiency: Using less energy to provide the same level of energy service.
• Renewable Energy: Energy derived from natural processes that are replenished constantly.