WHY NITI AAYOG WANTS STRICTER CHECKS ON DATA CENTRES

Why In News?

NITI Aayog proposes stricter power and water checks for data centres to curb environmental damage and utility strain from expanding Data Centres.

What Are Data Centres?

A data centre is a dedicated physical facility housing centralized computing hardware, enterprise storage systems, network equipment, and digital infrastructure to ingest, process, store, and disseminate massive volumes of digital data.

In the era of generative AI, traditional colocation facilities are rapidly transitioning into dense hyperscale AI refineries, which cluster tens of thousands of power-intensive Graphics Processing Units (GPUs) that run 24/7 and demand continuous electricity alongside high-capacity liquid or evaporative cooling systems.

Status Of Data Centres In India

Capacity Acceleration: India's installed data centre capacity reached approximately 1.5–1.6 GW by 2025–2026 (up from 375–520 MW in 2020) and is projected to surge to 4.5–6.5 GW by 2029–2030.

Facility Footprint: As of January 2026, India hosts approximately 271–278 data centres occupying over 23 million square metres of real estate.

Capital Investments: Committed investments reached USD 95 billion between 2019 and 2025, with cumulative capital outlay expected to surpass USD 100–110 billion by 2027–2030. (Source: CEEW)

Geographic Concentration: Over 65%–75% of India's operational compute capacity is concentrated in six major urban corridors: Mumbai, Chennai, Hyderabad, Bengaluru, Noida, and Delhi-NCR. (Source: CEEW)

Electricity Demand Surge: Indian data centres consumed roughly 13 TWh of electricity (0.5%–0.8% of total national electricity demand) in 2024–2025, which is projected to expand nearly fivefold to 57 TWh (1%–2.6% of total national demand) by 2030. (Source: NITI Aayog)

Water Footprint: Annual water consumption by data centres stood at approximately 150 billion litres in 2024–2025 and is projected to reach 358 billion litres by 2030. (Source: CEEW)

What Are The Key Pillars Of The NITI Aayog’s Data Centre Evaluation?

Released by NITI Aayog's Frontier Tech Hub in collaboration with Deloitte India, the Data Centre Evaluation Framework to Help States Plan for Sustainable Growth establishes a decision-support guide structured around five core pillars:

• Pillar 1: Power and Energy Availability: Mandates developers, DISCOMs, and State Transmission Utilities (STUs) to co-draft a Power Readiness and Ramp-Up Plan. Facilities requiring above 20 MW must integrate automated demand-response with State Load Dispatch Centres (SLDCs).

• Pillar 2: Water and Cooling Sustainability: Requires a 20-to-30-year seasonal catchment water balance assessment across surface, groundwater, and municipal tables. Prohibits freshwater extraction in water-stressed basins, mandating Treated Wastewater or Desalinated Water.

• Pillar 3: Siting and Environmental Protection: Designates pre-cleared Data-Centre-Ready Zones in renewable-rich corridors while strictly marking Red Zones (Exclusion Zones) in ecologically fragile or hydrologically depleted tracts.

• Pillar 4: Economic and Strategic Public Value: Links state fiscal incentives to verifiable operational outcomes, including domestic procurement under Make in India, R&D investments, local skilling, and Power Usage Effectiveness (PUE) / Water Usage Effectiveness (WUE) compliance.

• Pillar 5: Policy, Governance and Implementation: Establishes digital single-window clearances, a centralized audit mechanism led by MeitY, and inclusion under the Essential Services Maintenance Act (ESMA).

What Are The Major Challenges In Data Centre Development?

Electricity Infrastructure Gaps: Localized transmission congestion and substation capacity deficits in primary urban compute hubs struggle to support megawatt-scale baseload power draws.

• Example: Virginia (US) & Dublin (Ireland) Grid Saturation Crisis, where uncoordinated clustering of data centres outpaced substation transformer capacity, forcing power utilities to impose emergency connection caps and mandate on-site power generation.

Water Scarcity: Severe depletion of surface and groundwater tables in leading data centre corridors risks operational disruption during lean seasonal cycles.

• Example: CEEW & WRI India Empirical Assessment 2026, revealing that over 75% of India's 278 data centres are located in high-to-extremely-high water-stressed urban corridors (Mumbai, Chennai, Bengaluru, Hyderabad, Delhi-NCR), compounded by urban water shocks like Bengaluru's 2024 water crisis and Chennai's 2019 Day Zero.

High Capital Costs: Substantial upfront capital expenditure is required for civil real estate, specialized high-voltage power evacuation, and advanced server hardware.

• Example: JLL & CBRE Market Assessment 2026, estimating that scaling India's AI compute capacity from 1.6 GW to 6 GW by 2029 requires an overwhelming USD 110 billion in cumulative capital outlay across real estate, power grid tie-ins, and high-density GPU infrastructure.

Environmental Opposition: Growing public and ecological opposition regarding thermal pollution, heat-island effects, backup generator emissions, and specialized electronic waste.

• Example: Visakhapatnam Google AI Hub Environmental Resistance, where Google's USD 15-billion 1-GW AI infrastructure project faced opposition from local environmental groups citing ecological disruption, wildlife protection, and water extraction concerns.

Local Community Concerns: Citizen resistance over local groundwater depletion, diesel generator noise, and siting adjacent to high-density residential areas.

• Example: Thane Amazon Hyperscale Controversy, where hundreds of residents protested Amazon's 53-acre, 422 MW facility featuring 193 backup diesel generators built adjacent to residential apartments and schools in a municipality facing a daily drinking water deficit of 31 million litres.

Unequal Distribution of Economic Benefits: High fiscal concessions offered by state governments yield relatively few permanent direct operational jobs post-construction.

• Example:  NITI Aayog Fiscal-Job Analysis 2026, highlighting that state governments disburse extensive property tax waivers and power subsidies to multi-thousand-crore campuses that employ fewer than 150 permanent technical personnel on site.

Dependence on Imported Equipment: Heavy technological reliance on imported GPUs, specialized liquid chillers, and semiconductor components creates supply chain vulnerabilities.

• Example: Indian AI Compute Supply Chain Vulnerability, where over 90% of high-density AI accelerators (e.g., NVIDIA GPUs) and advanced direct-to-chip cooling components are imported, exposing domestic data infrastructure to global trade and supply bottlenecks.

Renewable Energy Availability: Intermittency of solar and wind power, alongside high regulatory surcharges for open-access green power procurement.

• Example: CEEW Clean Energy Procurement Survey 2026, noting that while RE developers can supply up to 80% green power via solar-wind-BESS hybrids, high Cross-Subsidy Surcharges (CSS) and inconsistent banking rules hinder 100% round-the-clock green power matching.

Regulatory Fragmentation: Absence of a binding national policy leads to inconsistent state incentives, missing performance benchmarks, and delayed multi-agency clearances.

• Example: CEEW Policy Mapping 2026, showing that while 15 Indian states notified individual data centre or IT policies, only 5 states embedded explicit sustainability norms, creating significant regulatory asymmetry across state borders.

Way Forward

Approve Projects after Verifying Infrastructure Readiness: Grant state approvals strictly after confirming that grid capacity, water allocations, and land accessibility are fully operational for the entire campus build-out.

• Example: NITI Aayog Joint Power & Water Readiness Protocol, requiring developers, DISCOMs, and State Transmission Utilities (STUs) to co-validate a Power Readiness and Ramp-Up Plan before granting final load sanctions.

Link Incentives to Measurable Outcomes: Shift state fiscal support away from headline capital announcements toward verifiable operational performance metrics.

• Example: NITI Milestone-Based Incentive Tranche Matrix, disbursing state subsidies only upon meeting verified operational KPIs such as Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), local hiring, and Make in India hardware procurement.

Prioritise Water-efficient Cooling: Mandate closed-loop liquid cooling, immersion systems, and non-potable industrial recycled water in water-stressed basins.

• Example: Rajasthan Data Centre Policy 2025 & Taiwan Model, where Rajasthan mandates Zero Liquid Discharge (ZLD) and 100% wastewater recycling, mirroring Google's Changhua facility in Taiwan which utilizes 100% industrial water instead of municipal drinking water.

Expand Renewable Energy with Storage: Facilitate open-access green power procurement combined with Battery Energy Storage Systems (BESS) for hourly time-block renewable matching.

• Example: SoftBank Hokkaido Model & Meta-Reliance Jamnagar PPA, shifting compute nodes to renewable-rich corridors (like SoftBank's 300 MW facility in Hokkaido, Japan) combined with Meta's 168 MW solar-wind partnership in Gujarat for hourly clean power matching.

Protect Existing Water Users: Ensure data centre water allocations strictly preserve dependable drinking water supplies for local communities and farming.

• Example: NITI Aayog 20–30 Year Catchment Water Balance Mandate, requiring joint signatures from Urban Local Bodies, Water Resources Departments, and Irrigation Boards confirming no diversion of municipal drinking water prior to project approval.

Strengthen Environmental Impact Assessment: Conduct forward-looking climate risk assessments and comprehensive Community Impact Assessments (CIA) for hyperscale campuses.

• Example: NITI Aayog Community Impact Assessment (CIA) Protocol, evaluating 20-year coastal flood risk, heat stress, noise levels, e-waste lifecycle plans, and local community displacement before site clearance.

Adopt Digital Single-window Clearance Systems: Implement time-bound, digital single-window portals to streamline inter-departmental NOCs and clearance tracking.

• Example: MeitY-Linked Digital Single-Window Dashboard, unifying all state NOCs (power, water, fire, land) under a single interface with statutory escalation timelines to eliminate deployment delays.

Strengthen Community Participation: Institutionalize transparent public consultation mechanisms and local grievance redressal channels prior to construction.

• Example: Amazon "Built Together" Community Engagement Fund Model, establishing mandatory local stakeholder consultations alongside dedicated community investment funds ($1 billion globally) to address noise, water, and power concerns.

Promote Sustainable AI Infrastructure: Align compute expansion with India's "frugal AI" pathway, prioritizing shared and energy-efficient compute resources over uncoordinated server sprawl ``.

• Example: IndiaAI Mission, subsidizing over 10,000 public GPUs to prioritize application-led, energy-efficient, and shared compute clusters over wasteful private capacity additions.

Conclusion

NITI Aayog's Data Centre Evaluation Framework redirects focus from unrestrained investment to resource-aligned planning, ensuring India's digital growth protects local water security, grid stability, and the environment.

Source: THEHINDU