Topic guide

Sustainability

Browse publications on environmental impacts, carbon, resource use and life cycles. Compare assessment methods while reviewing their scope, data periods and reporting boundaries alongside the original sources.

Sources
201
Downloadable PDFs
66
Years
2007–2026

All sources

73–96 / 201

Research paperPDF

International Conference on Learning Representations (ICLR 2024) 2024

LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models

In AI data-centre carbon estimation, compute operational (FLOPs, power, PUE, grid intensity) and embodied (chip area × CPA, memory and storage per GB) carbon together; in a renewable-powered facility embodied carbon rises to 92-95%.

  • Against published Google and Meta figures, error is 8.2% or less for training and -3.05% for embodied carbon.
Research paperPDF

arXiv preprint (math.OC), MIT Operations Research Center 2025

Locational Marginal Emissions for Carbon-Aware Data Center Operations in Large-Scale Power Grids

In data-centre carbon accounting, consider hourly locational marginal emissions (LME) rather than an annual-average grid factor; the LME-based intensity (about 672 kgCO2/MWh) was about 3 times the average factor (202).

  • Emission rates assumed in the simulated grid: coal 800 kgCO2/MWh, gas 450 kgCO2/MWh, wind/solar/nuclear/hydro 0.
Research paperPDF

Scientific Reports (Springer Science and Business Media LLC) 2025

Maximizing waste heat recovery from a building-integrated edge data center

In a building-integrated edge data centre, distribute workload to servers so outlet temperatures are as high as possible (within standard limits); recoverable heat rose by up to 17.1% over random distribution.

  • Compared with randomly distributed workloads, MOTA improves waste-heat recovery by up to 17.1%.
Research paperPDF

arXiv preprint (cs.SE); Skyworkz / Sustainable Digital Infrastructure Alliance (SDIA) 2023

Measuring IT Carbon Footprint: What is the Current Status Actually?

Compute IT carbon as (Es + Eo) × I + M and allocate embodied carbon (M) for shared resources by time and resource share; define scope, idle-time and shared-resource attribution explicitly.

  • Operational carbon = PUE × sum over intervals of grid-mix intensity × energy, constrained by energy-mix data granularity (for example 30-minute updates); average versus marginal emission factors are discussed.
Research paperPDF

IEEE Transactions on Sustainable Computing (Institute of Electrical and Electronics Engineers (IEEE)) 2017

Metrics for Sustainable Data Centers

In data-centre comparisons, do not use PUE as a cross-facility metric; normalise for IT load, weather and location, or state the same conditions.

  • Tier availability figures quoted: Tier I 99.671%, Tier II 99.741%, Tier III 99.982%, Tier IV 99.995%.
Research paperPDF

Frontiers in Environmental Science (Frontiers Media SA) 2026

Net sustainability assessment of AI-driven data centers in the GCC: an MCDA approach framework

In AI data-centre investment assessment in hot, arid regions, weigh carbon, water, social and governance criteria together with explicit weights (0.40/0.25/0.20/0.15); indirect water (desalination energy) was about 0.68 times direct cooling water.

  • In the extended boundary, embodied carbon adds 15-25% to the operational footprint.
Research paperPDF

Challenges (MDPI AG) 2015

On Global Electricity Usage of Communication Technology: Trends to 2030

In data-centre electricity-demand projections use traffic-based extrapolation (traffic × annually improving energy intensity) as an upper-bound reference; the worst case is very high and the method was later criticised for overestimating demand.

  • In the worst-case scenario communication technology could use as much as 51% of global electricity in 2030 and contribute up to 23% of global GHG emissions.
Research paperPDF

Energy Strategy Reviews (Elsevier BV) 2024

On the means, costs, and system-level impacts of 24/7 carbon-free energy procurement

In a data-centre renewable procurement strategy, weigh that annual volumetric matching does not deliver hourly clean supply (54% to 83%) and that 85-95% hourly CFE targets cut emissions more at a relatively small premium.

  • Adding long-duration storage (salt-cavern hydrogen, 2.5 EUR/kWh) cuts the 100% CFE premium to 42% above annual matching; also adding clean firm generation cuts it to 15%.
Research paperPDF

Geothermal Energy (Springer Science and Business Media LLC) 2026

Potential of aquifer thermal energy storage (ATES) for data centres in Germany

Before linking data-centre waste heat to nearby building heating, check that site subsurface geology suits ATES and that the site is outside water-protection zones; only 13 of 19 sites did.

  • Annual waste heat available for storage was Eth = Qth × F_load × (1 − F_free) × (1 − F_down), with a conservative mean annual load factor of 0.6.
White paperFree to read

Schneider Electric 2024

Recycling and Circularity of Li-Ion Batteries

Add chemistry (LFP/NMC/NCA), module construction (bolted or welded), battery passport availability, take-back/EPR programme and declared recycled content to the battery catalog.

  • Li-ion batteries are UN Class 9 dangerous goods.

All content and rights belong to the respective authors and publishers. SoSo CAD provides only the citation, its own summary and a link to the source, and is not responsible for the sources' content.

Monthly newsletter · free

Keep your reading list current

Once a month: new library sources, changes to Turkish regulations and upcoming data centre events.