Proposed London datacentre will have annual carbon footprint of 27,000 flights to New York
The proposed East Havering Data Centre Campus (EHDCC) in North Ockendon, London, would be one of Europe's largest datacentres, spanning 218 hectares of green belt land at a cost of £14.7bn The facility is projected to emit over 1.2 million tonnes of CO₂e annually — equivalent to 27,000 flights from London to New York — making it the highest disclosed carbon emitter among UK proposed datacentres At 50% load, EHDCC would consume 2.65 billion kWh of electricity per year, matching the demand of over
Analysis
TL;DR
- The proposed East Havering Data Centre Campus (EHDCC) in North Ockendon, London, would be one of Europe's largest datacentres, spanning 218 hectares of green belt land at a cost of £14.7bn
- The facility is projected to emit over 1.2 million tonnes of CO₂e annually — equivalent to 27,000 flights from London to New York — making it the highest disclosed carbon emitter among UK proposed datacentres
- At 50% load, EHDCC would consume 2.65 billion kWh of electricity per year, matching the demand of over 1 million UK households, powered by a 600MVA National Grid connection
- Planning documents explicitly acknowledge the project "does not align with a science-based 1.5°C compatible trajectory" or UK net zero by 2050 targets
- By 2038, the datacentre's operational emissions alone could consume nearly 1% of the UK's entire carbon budget and 20 times the carbon budget of the borough of Havering
Why It Matters
This case exemplifies the growing tension between the UK's rapid expansion of AI and hyperscale datacentre infrastructure and its legally binding climate commitments. As datacentres are now classified as "critical national infrastructure" and electricity demand from the sector is projected to quadruple by 2030, policymakers and AI practitioners must confront the environmental externalities of compute scaling. The EHDCC proposal sets a precedent for how the industry balances economic investment against carbon budgets, energy resource allocation, and green belt preservation.
Technical Details
- Scale and capacity: The EHDCC would occupy 218 hectares of green belt land, featuring a 600MVA National Grid connection via the Warley substation, with a new 400kV substation and 132kV UK Power Networks facility planned on adjacent land, with full connection expected by 2033
- Energy consumption: At a likely 50% operational load, the campus would draw 2.65 billion kWh annually; the average UK household consumes 2,500 kWh per year, meaning the facility would match the electricity demand of over 1 million homes
- Carbon emissions profile: Total projected emissions over a 60-year lifespan exceed 72 million tonnes CO₂e, with annual operational emissions of 1.2 million tonnes CO₂e; the developer estimates a £77.6m "cash in lieu" contribution to the borough's carbon offset fund for unmet zero-carbon targets
- National grid context: NESO has recorded datacentre electricity connection requests totalling 72.8GW by 2039 — nearly 60% more than the UK's peak power demand in the previous year — driven by AI and hyperscale infrastructure demand
- Regulatory framework: January planning legislation amendments allow datacentre developers to apply as "nationally significant infrastructure projects," bypassing local authority planning procedures and seeking approval directly from the government; a national policy statement for the sector has not yet been published
Industry Insight
- Carbon accounting will become a decisive factor in datacentre viability: The EHDCC's own admission of incompatibility with 1.5°C pathways signals that future projects will face increasing scrutiny over embodied and operational emissions. Developers who proactively integrate on-site renewable generation and storage — rather than relying on carbon offsets — will be better positioned for regulatory approval and investor confidence.
- Energy grid capacity is the emerging bottleneck: With datacentre connection requests far exceeding current peak demand, grid infrastructure constraints will likely slow deployment timelines and increase costs. AI companies planning infrastructure expansion should factor in multi-year grid connection waits and consider locations with surplus renewable capacity.
- Policy fragmentation creates uncertainty: The classification of datacentres as critical national infrastructure, combined with the ability to bypass local planning and the absence of a published national policy statement, creates a regulatory landscape where projects can proceed with limited local accountability. Practitioners should monitor the forthcoming national policy statement closely, as it will likely establish emission standards and renewable energy requirements that could reshape project economics across the sector.
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