China’s green-power target for AI data centres runs into the grid


The cleanest way to power a data centre is also the least predictable. The sun sets, the wind drops, and a server hall full of AI accelerators does not care: it wants the same steady draw at three in the morning that it wanted at noon.

That mismatch is the problem now sitting between China’s climate ambitions and its computing ambitions, and according to industry experts cited by Reuters, it is proving harder to solve than the targets imply.

Beijing has made the goal explicit. Authorities want renewables to supply roughly four-fifths of the AI data-centre sector’s total power consumption by 2030, a steep climb from around 11 per cent in 2023.

The country’s 2026 government work report named tighter integration between computing infrastructure and the power supply as a priority, and a green-data-centre action plan requires new projects in the national computing hubs to source most of their electricity from clean sources. On paper, the direction is set.

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The hurdles are practical rather than political. Forecasting peak demand from AI clusters is genuinely difficult, because the load profile of a training run looks nothing like the steady hum of a traditional data centre, and grid operators are wary of taking on the added risk of balancing intermittent supply against a customer that cannot tolerate interruption.

When the choice is between a clean megawatt that might not be there and a reliable one that will, operators have tended to choose reliability, which in China still means a grid with a large coal baseload underneath it.

The scale of what is coming makes the question urgent. Power demand from Chinese data centres is projected to rise by 300 billion to 500 billion kilowatt-hours between 2026 and 2030, which would account for close to a fifth of the country’s total growth in electricity demand over the period.

Installed data-centre capacity is on track to reach roughly 40 gigawatts by the end of this year, up from around 32 gigawatts at the end of 2025, with some forecasts putting the sector past 60 gigawatts by 2030.

Whatever fuels that expansion, there is going to be a great deal of it, and the curve is steepening just as the grid is being asked to green itself.

China is not short of clean electrons. It added hundreds of gigawatts of solar and wind in 2025 alone, and wind, solar, and storage are expected to overtake coal as the largest source of generation before the end of the decade.

The gap is not supply in aggregate but supply in the right place at the right moment, matched to a buyer with no tolerance for a flicker.

The most common workaround so far has been green electricity certificates, which let an operator buy the environmental attribute of clean power without a physical line to a wind or solar farm. It satisfies the metric. Whether it changes which electrons actually run the servers is a separate matter.

The tension is not unique to China. Grid operators everywhere are being asked to absorb AI loads faster than they can build, from Denmark pausing new connections to the EU asking households to ease off at peak hours, while US utilities line up $1.4tn in spending to keep up.

Europe has gone further than most in tying the two together, telling Big Tech to align data centres with climate goals or stay away. China’s version of the bargain is more centrally directed, and its targets are more aggressive, which is precisely why the gap between the target and the grid is worth watching.

For now, the ambition is real and the mechanism is unfinished. Beijing has written down the number it wants, and it has the manufacturing base, the build rate, and the central direction to make a serious run at it.

What it does not yet have is a settled way to make intermittent power reliable enough to satisfy a machine that never sleeps. That last problem, more than any shortage of panels or turbines, is the one standing between the target and the grid.



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