Key Details
NITI Aayog’s Data Centre Evaluation Framework to Help States Plan for Sustainable Growth organises State assessment around five connected questions: Can the project be powered and cooled, is the site suitable, what public value will it create, and who is responsible for delivery?
Power and energy: Check demand for the entire planned campus, grid upgrades and the date each expansion phase can be supplied. For facilities above 20 megawatts, the framework recommends readiness to adjust electricity demand and share operational data with the State grid operator, subject to applicable rules.
Water and cooling: Assess seasonal water availability, competing users and peak cooling demand. In water-stressed locations, projects should not put further pressure on existing freshwater users; alternative sources count only if they will be available when needed.
Site and community: Examine future flood, heat, coastal and other hazards, as well as local effects on roads, drainage, water, noise and waste.
Economic value: Compare employment, procurement, skills and research benefits with the full value of State support, including land, infrastructure and tax concessions.
Governance: Identify who controls each promised outcome, publish a clear approvals process and monitor conditions after commissioning.
Data-Centre Capacity Must Be Matched to Infrastructure That Can Actually Arrive
India’s expanding data-centre sector can attract investment and support computing and artificial intelligence. But a proposed campus may need substantial electricity, water, land and network connections long before its full capacity is commissioned. The framework asks States to assess the whole campus and its phased build-out, rather than approve a headline capacity figure without confirming when supporting infrastructure will be ready.
For electricity, it recommends a jointly validated plan covering expected demand, grid connection, upgrades, cost-sharing and delivery dates. Capacity additions would be matched to completed infrastructure and agreed milestones. Renewable power and storage would reduce the project’s estimated grid draw only where the arrangements are sufficiently firm and deliverable—not merely proposed.
Water and Location Are Long-Term Choices
Cooling needs vary by facility type, technology and local climate. The framework calls for a 20–30-year seasonal assessment of the local water catchment, including demand from households, agriculture and other users. States would check peak demand, contracted supplies and whether treated or other non-potable water can be supplied from the relevant commissioning date.
Site assessment extends beyond current hazard maps. The framework asks States to consider future climate risks and community impacts before construction, prepare areas suited to data centres, and identify locations where water stress, hazards or inadequate infrastructure make development unsuitable. It also calls for plans covering electronic waste, batteries and eventual decommissioning.
Incentives Would Be Earned Against Delivery, Not Announcements
The framework treats public support as an investment that should produce measurable value. States would quantify concessions and infrastructure support, then assess what a project is expected to deliver through local jobs, skills, procurement, research and domestic technological capability. Incentive payments could be linked to verifiable milestones such as commissioning, renewable-energy supply and resource efficiency.
That requires assigning each commitment to the entity able to fulfil it. A data-centre owner, computing-service provider and customer may be different organisations; an incentive condition is meaningful only if responsibility for delivering and reporting it is clear. The framework also proposes coordinated digital approvals and common national measurement guidance while leaving States room to reflect local priorities and resource constraints.
Policy Relevance
For States competing for data-centre investment, the framework changes the basis of comparison from promised project size to readiness and net public value. It offers a way to identify grid and water constraints early, distinguish costs caused by a project from upgrades needed anyway, and avoid paying incentives before promised capacity or benefits materialise.
Its value will also depend on coordination: utilities, water authorities, planning bodies and investment agencieshold different parts of the evidence needed for a decision. The framework gives them common questions to answer without prescribing the same outcome for every State or every data-centre model.
Relevant Question for Policy Stakeholders: Before committing land, grid upgrades or incentives to a large data-centre campus, what evidence should a State require that each expansion phase can be supplied without displacing existing users—and will deliver the public value promised?
Follow the Full Report Here: NITI Aayog’s Data Centre Evaluation Framework to Help States Plan for Sustainable Growth