Why are data centres controversial and how do they affect local land and energy?

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1. 1

   Data center (Wikipedia)

   WikipediaPublished Oct 8, 2026Checked Oct 10, 2026

   “A data center is a physical room, building, or facility for storing, managing, and disseminating data and information, including computer systems and associated components, housing IT infrastructure, and training artificial intelligence. The United States' act of Congress, the Energy Independence and Security Act of 2007, defines a data center as "any facility that primarily contains electronic equipment used to process, store, and transmit digital information." This includes "a free-standing structure" or "a facility within a larger structure, that uses environmental control equipment to maintain the proper conditions for the operation of electronic equipment." According to IBM, data centers date back to the 1940s, with the U.S. military's Electrical Numerical Integrator and Computer (ENIAC) as an early example. Data centers have different models depending on their workloads.”

2. 2

   Hundreds protest over data centre plans

   BBC NewsPublished Oct 10, 2026Checked Oct 10, 2026

   “Placard-waving opponents highlight concerns about a data centre development on the local landscape.”

3. 3

   Data centre industry in India (Wikipedia)

   WikipediaPublished Oct 7, 2026Checked Oct 10, 2026

   “India has a growing data centre industry. Data centres are used for national security, internet infrastructure, and economic output. As of 2024, India's data centre capacity is at 950 MW, which is expected to be 1800 MW by 2026. The data centre industry is valued at US$1.2 billion in 2021, a 216% growth from $385 million in 2014. The number of data centres in India is 138, as of March 2022. India ranks 13th globally in terms of highest number of data centres. As of 2021, Indian data centres occupy over 8 million sq ft area. 60% of total data centres are in Navi Mumbai, Chennai,Noida, Gurgaon, Bangalore and Hyderabad. India's data centre capacity is projected to experience significant growth, doubling from 0.9 GW in 2023 to approximately 2 GW by 2026. This expansion is driven by the increasing digitisation and data localisation trends within the country. Despite generating 20% of the global data, India currently holds only a 3% share of global data centre capacity, highlighting substantial under-penetration in this sector. The estimated capital expenditure required for this capacity addition is around Rs 50,000 crore over the next three years.”

4. 4

   Uncertainty-aware electrification of university campuses: Matching demand with renewable generation for zero emissions.

   Engineering science and technology (Berna-Escriche et al.)Published Sep 1, 2026Checked Oct 10, 2026

   “This study proposes a structured and transferable methodology for campus decarbonization, integrating high-resolution hourly demand analysis, PV generation modeling, electrification measures, and uncertainty quantification within a Best Estimate Plus Uncertainty (BEPU) framework using Wilks' non-parametric tolerance intervals. The approach is applied to the ETSII buildings at the Universitat Politècnica de València (UPV), within Valencia's climate-neutrality strategy. For a case study with ∼3 GWh annual demand and 1.3 MWp PV capacity, results indicate that solar PV alone can supply about 70% of annual demand, with self-consumption levels of 67-69% and overall self-sufficiency near 50%. Adding a 1 MW / 4 MWh battery increases self-consumption above 95% and self-sufficiency to ∼65%, despite storage losses. The BEPU/Wilks framework provides statistically robust performance bounds, supporting reliable PV-storage sizing. The methodology provides a robust and scalable framework for planning the decarbonization of urban areas and university campuses.”

5. 5

   Vertical farming as a land sparing strategy: GHG implications for UK agricultural landscapes.

   Cleaner food systems (Gargaro et al.)Published Jun 1, 2026Checked Oct 10, 2026

   “A primary-data life cycle assessment (LCA) quantifies the impacts of VF; a separate primary-data LCA of field farming incorporates DNDC-modelled national soil emissions; and the Land Use Net-Zero Advisor (LUNA) evaluates the GHG, land-carbon and energy implications of repurposing spared land for solar, wind, afforestation, agroforestry and bioenergy. VF reduces land demand by 93% but has higher GHG emissions per-kg than field systems. System-level outcomes depend on how spared land is used. Solar energy provides the strongest mitigation, fully offsetting VF's operational emissions and reducing total system impacts below the field baseline. Forestry and agroforestry generate positive land-carbon outcomes but more modest GHG reductions. Across all scenarios, peat soils dominate land-carbon losses, underscoring the need to avoid land-use change on peat and prioritise restoration. Overall, VF's environmental value arises from the land-use transitions it enables. When incorporated into multifunctional land-use planning, VF can support domestic food production while facilitating renewable-energy deployment and ecosystem restoration within a highly constrained UK land system.”