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AI Energy Demand Drives Google’s Emissions Up 48% in Five Years

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05 Jul, 2024

This post was originally published on Eco Watch

Google’s goal of lowering its carbon footprint is in trouble as the technology company’s energy consumption has increased due to the amount of power needed for artificial intelligence (AI) data centers.

According to the internet giant’s annual environmental report, its greenhouse gas emissions have increased by 13 percent in the past year, due mostly to the AI data centers and supply chains, reported The Guardian. The report said its 2023 emissions had reached 14.3 metric tons.

“As we further integrate AI into our products, reducing emissions may be challenging due to increasing energy demands from the greater intensity of AI compute, and the emissions associated with the expected increases in our technical infrastructure investment,” the report said.

The internet company has a goal of cutting its total greenhouse gas emissions by half by the end of the decade and using carbon removal to tackle its remaining emissions output, The Hill reported.

Since 2019, Google’s emissions have risen by 48 percent, the report said.

“Reaching net-zero emissions by 2030 is an extremely ambitious goal and we know it won’t be easy. Our approach will continue to evolve and will require us to navigate significant uncertainty — including the uncertainty around the future environmental impact of AI, which is complex and difficult to predict. In addition, solutions for some key global challenges don’t currently exist, and will depend heavily on the broader clean energy transition,” the report stated.

According to estimates from the International Energy Agency, the total electricity consumption by Google’s data centers could be twice those of 2022 levels — 1,000 terawatt hours — in 2026, which is roughly the electricity demand of Japan, The Guardian reported.

The manufacturing and transportation of computer chips and servers needed for use in data center training and deployment also produce a great deal of emissions. AI data centers will use 4.5 percent of the world’s energy by 2030, research firm SemiAnalysis said.

A Google data center in Belgium. Google

Another issue with the AI explosion is water use, with one study saying AI could lead to the water usage equivalent to almost two-thirds of England’s annual consumption by 2027.

Co-founder of Microsoft Bill Gates said big tech companies being “seriously willing” to use green energy to power AI would help tackle the climate crisis. The companies have become big investors in renewable energy in an effort to achieve their climate targets.

“AI is at an inflection point and many factors will influence its ultimate impact — including the extent of AI adoption, our ability to mitigate its footprint, and the pace of continued innovation and efficiency,” the Google report said. “While we remain optimistic about AI’s potential to drive positive change, we’re also clear-eyed about its potential environmental impact and the collaborative effort required to navigate this evolving landscape.”

The post AI Energy Demand Drives Google’s Emissions Up 48% in Five Years appeared first on EcoWatch.

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Vegetable oil waste sees new life through WORLD project

Vegetable oil waste sees new life through WORLD project

The Politecnico di Milano, coordinator of the Waste Oils RecycLe and Development (WORLD) project, proposes a circular and sustainable process to turn used vegetable oil into a valuable resource.

Vegetable oil is used widely around the world, and cooking and food preservation is said to generate a huge amount of waste oil. Around four million tonnes of used vegetable oil are produced in Europe each year, representing just 4% of the total global amount of the widespread product. If not properly disposed of, the waste can lead to significant environmental impacts.

The goal of the WORLD project is to optimise waste vegetable oil treatment processes while improving the quality of end products, reducing waste and fostering European independence in the supply of critical raw materials.

The project proposes to recycle used vegetable oil, yielding materials used as bio-lubricants, air purification devices and fine chemical components from petroleum-free precursors. These applications are presented as a supply chain parallel to their well-known use in the production of biodiesel, although this is limited by law to 10% and concerns only the purest fraction of the waste.

In addition to economic and technological benefits, the project has a strong social and environmental impact: raising awareness of correct waste oil collection can reduce public costs related to incorrect disposal and prevent environmental damage. In addition, a life cycle analysis (LCA) will be conducted to assess the best strategies to minimise ecological, economic and social impacts by adopting a ‘zero waste’ approach.

The project study was published by the British Royal Society of Chemistry in the international journal RSC Sustainability.

“We started by observing that the waste vegetable oil recycling industry is currently based on simple decantation and filtration processes, without adequate scientific optimisation. We therefore analysed two alternative techniques — bentonite treatment and water washing — to improve their efficiency and reduce their environmental impact,” explained study co-author Andrea Mele, from the ‘G. Natta’ Department of Chemistry, Materials and Chemical Engineering at the Politecnico di Milano.

“Through an experimental approach based on the design of experiments (DoE) methodology and multivariate statistical analysis, we optimised key parameters such as temperature, pH, bentonite concentration and oil-to-water ratio. The results showed that washing with water at 75°C and pH 6 guarantees the best performance in terms of yield, productivity and environmental sustainability, minimising the production of waste and the carbon impacts of the process,” continued co-author Alberto Mannu, who recently transferred from the Politecnico di Milano to the Department of Mechanical and Industrial Engineering at the University of Brescia.

Thanks to the WORLD project, a mathematical model developed from the collected data yields predictions of equivalent CO2 emissions according to operating conditions, providing the recycling industry with a practical tool for optimising processes in line with environmental certification standards.

This scientifically validated approach marks a step forward in the transition towards an efficient and sustainable circular economy. It is said to form part of the key principles of green chemistry, open new prospects for sustainability and efficiency, and may be highly competitive from a technical/economic perspective in models of the circular economy.

The WORLD project was funded by the European Union under the H2020-MSCA program. The consortium, which is coordinated by Politecnico di Milano, includes the Universities in Burgos (Spain) and Dunkirk (France), LUT University (Finland), and the Universities of Sassari and Brescia, together with non-academic partners in Spain and Italy.

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