Denmark Puts Data Centres Last in the Grid Queue as AI Power Demand Bites
Denmark's parliament has adopted an emergency plan that drops first-come, first-served grid connections and ranks data centres in the lowest priority category, the Ministry of Climate, Energy and Utilities said on 2 October.

The Danish parliament adopted the plan on 2 October, according to pv magazine.
Under the new model, state-owned transmission system operator Energinet and the country's other grid companies can choose who gets access to scarce grid capacity instead of processing applications in arrival order. Four priority categories replace the queue, and the ranking runs from critical societal functions down to data centres, with energy storage sitting in the third tier. The highest category covers critical societal functions, new households and general electricity consumption. The second covers electrification of transport, heating and industry, plus renewable energy, carbon capture and storage and hydrogen.
Data centres land in the fourth and least prioritised tier, unless a facility is tied to a critical societal function. Grid operators can reject applications in categories three and four if enough capacity is not expected "within the foreseeable future" and a connection would displace higher-priority projects or place an inappropriate burden on the grid. Denmark's Electricity Supply Authority handles appeals.
Minister calls the grid situation deeply serious
Samira Nawa, Denmark's Minister of Climate, Energy and Utilities, said the situation in the country's electricity grid is "deeply serious", with connection space becoming a scarce resource that can slow both electrification and the green transition. "With the law, we take responsibility for using the space we have in the electricity grid more wisely and prioritising what is most important for our country," Nawa said, per pv magazine.
The vote was not unanimous in spirit. Mathilde Hjort Bressum, climate, energy and supply spokesperson for the Liberal Party, said the prioritisation model must be "used as a management tool in an acute situation and does not become the new normal". She called for negotiations on expanding the Danish transmission grid and a comprehensive energy infrastructure plan. Finland is weighing a similar four-tier priority system, with a consultation open until 9 October, pv magazine reported.
Denmark is not the only place where data centre demand is colliding with infrastructure limits. Amazon said on 2 October it would invest $1 billion over five years in US data centre communities, a figure reported by Reuters and Mobile World Live. The timing is hard to read as coincidence: local opposition to the AI buildout is now a live political problem in several markets.
Water and power fights move to the state level
Water is the other front. Data Center Knowledge examined on 23 September how the industry is shifting from efficiency metrics to real-world resilience, a framing that matters when a facility's consumption is measured against a stressed local supply rather than a global average. California has already forced AI data centres to disclose their water and power use, and Karnataka's new data centre policy puts water and energy in focus, according to Newslaundry.
The pressure is visible elsewhere too. Water concerns triggered the suspension of Indonesia's West Java data centre project, Asia News Network reported on 1 October. New Jersey fined an AI data centre over unpermitted on-site power generators, according to ET Datacenters. And India's data centre capacity has crossed 1,575 MW and could reach 9 GW by 2030, Fortune India reported, citing rising power and water concerns.
None of this is abstract for the companies ordering grid connections. A data centre that cannot get power at a predictable cost, or that draws sustained local opposition over water, is a stranded asset in waiting. Denmark's four-tier list is one answer. It is not a generous one for the sector.
Sources
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All figures and quotations in this text come from the sources listed below.
Content prepared by the editorial team with AI assistance.
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