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UK Carbon Emissions Reach Lowest Level Since 1872

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15 Mar, 2025

This post was originally published on Eco Watch

According to a new analysis by Carbon Brief, the United Kingdom’s 2024 emissions fell to 409 million tons of carbon dioxide equivalent (MtCO2e), based on preliminary energy data. That’s a 3.6 percent drop and the lowest level since 1872.

The country’s coal use was also the lowest it’s been since the mid-1600s.

“The largest factor in emissions falling last year… was a massive 54% drop in UK coal demand,” the Carbon Brief analysis said. “The UK used just 2.1Mt of coal in 2024… this is the lowest amount since 1666, when the UK’s capital city was engulfed in the Great Fire of London.”

While UK emissions are currently 54 percent below 1990 levels, the country’s gross domestic product has increased by 84 percent.

Some of the major contributors to the reduction in coal use were the closure of the country’s last coal-fired power plant in Nottinghamshire, as well as Wales’ Port Talbot steelworks, one of the UK’s last blast furnaces.

An almost 40 percent increase in electric vehicles (EV) on UK roads was another contributing factor, along with above-average temperatures and electricity in the UK being the “cleanest ever” last year.

Greenhouse gas emissions within the UK’s borders have fallen in 26 out of the last 35 years.

“Apart from brief rebounds after the global financial crisis and the Covid-19 lockdowns, UK emissions have fallen every year for the past two decades,” the analysis said. “This is the lowest since 1872 and on par with 1926, when there was a general strike… In 1872, Queen Victoria was on the throne.”

The analysis found that coal demand had fallen at power stations, which accounted for a third of the overall reduction in use of the dirty fuel. Two-thirds of the coal consumption drop came from heavy industry using less coal.

In addition to falling coal use, another one-third of the drop in emissions was due to lower demand for oil and gas.

Oil demand fell by 1.4 percent even with an increase in road traffic. This was mostly because of rising EV numbers. The 1.4 million EVs, 76,000 electric vans and 800,000 plug-in hybrids reduced oil-related emissions, which were slightly offset by higher electricity demand.

Smart Charge ultra-rapid EV charging points in a supermarket carpark in Whitechapel, East London, UK on June 12, 2024. Mike Kemp / In Pictures via Getty Images

“The UK’s right-leaning newspapers have been busy finding new driving-related wordplay for what they have misleadingly described as a ‘stalling’ market for EVs, which is apparently ‘going into reverse’,” the analysis said. “The reality is that the number of EVs on the UK’s road rose from 1m in 2023 to 1.4m in 2024, an increase of 39% in just one year. The number of plug-in hybrids was up 28% to 0.8m.”

To reach its 2035 climate goal, as well as its target of net-zero by 2050, the UK’s emissions would need to be cut more each year than they were in 2024.

“The 14MtCO2e drop in emissions in 2024 can be compared with the trajectory needed to reach the UK’s national and international climate pledges for 2035 and 2050,” Carbon Brief said. “If emissions fell by the same amount every year as they did in 2024, then the UK would miss both targets… In other words, annual emissions cuts would need to accelerate in the short- to medium-term, but could start to ease off later on. This is consistent with the cost-effective pathway to net-zero set out last month by the Climate Change Committee in its latest advice to the government.”

The post UK Carbon Emissions Reach Lowest Level Since 1872 appeared first on EcoWatch.

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Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

As enterprises accelerate their AI investments, the energy demand of AI’s power-hungry systems is worrying both the organisations footing the power bills as well as those tasked with supplying reliable electricity. From large language models to digital twins crunching massive datasets to run accurate simulations on complex city systems, AI workloads require a tremendous amount of processing power.

Of course, at the heart of this demand are data centres, which are evolving at breakneck speed to support AI’s growing potential. The International Energy Agency’s AI and Energy Special Report recently predicted that data centre electricity consumption will double by 2030, identifying AI as the most significant driver of this increase.1

The IT leaders examining these staggering predictions are rightly zeroing in on improving the efficiency of these powerful systems. However, the lack of expertise in navigating these intricate systems, combined with the rapidity of innovative developments, is causing heads to spin. Although savvy organisations are baking efficiency considerations into IT projects at the outset, and are looking across the entire AI life cycle for opportunities to minimise impact, many don’t know where to start or are leaving efficiency gains on the table. Most are underutilising the multiple IT efficiency levers that could be pulled to reduce the environmental footprint of their IT, such as using energy-efficient software languages and optimising data use to ensure maximum data efficiency of AI workloads. Among the infrastructure innovations, one of the most exciting advancements we are seeing in data centres is direct liquid cooling (DLC). Because the systems that are running AI workloads are producing more heat, traditional air cooling simply is not enough to keep up with the demands of the superchips in the latest systems.

DLC technology pumps liquid coolants through tubes in direct contact with the processors to dissipate heat and has been proven to keep high-powered AI systems running safely. Switching to DLC has had measurable and transformative impact across multiple environments, showing reductions in cooling power consumption by nearly 90% compared to air cooling in supercomputing systems2.

Thankfully, the benefits of DLC are now also extending beyond supercomputers to reach a broader range of higher-performance servers that support both supercomputing and AI workloads. Shifting DLC from a niche offering to a more mainstream option available across more compute systems is enabling more organisations to tap into the efficiency gains made possible by DLC, which in some cases has been shown to deliver up to 65% in annual power savings3. Combining this kind of cooling innovation with new and improved power-use monitoring tools, able report highly accurate and timely insights, is becoming critical for IT teams wanting to optimise their energy use. All this is a welcome evolution for organisations grappling with rising energy costs and that are carefully considering total cost of ownership (TCO) of their IT systems, and is an area of innovation to watch in the coming years.

In Australia, this kind of technical innovation is especially timely. In March 2024, the Australian Senate established the Select Committee on Adopting Artificial Intelligence to examine the opportunities and impacts of AI technologies4. Among its findings and expert submissions was a clear concern about the energy intensity of AI infrastructure. The committee concluded that the Australian Government legislate for increased regulatory clarity, greater energy efficiency standards, and increased investment in renewable energy solutions. For AI sustainability to succeed, it must be driven by policy to set actionable standards, which then fuel innovative solutions.

Infrastructure solutions like DLC will play a critical role in making this possible — not just in reducing emissions and addressing the energy consumption challenge, but also in supporting the long-term viability of AI development across sectors. We’re already seeing this approach succeed in the real world. For example, the Pawsey Supercomputing Centre in Western Australia has adopted DLC technology to support its demanding research workloads and, in doing so, has significantly reduced energy consumption while maintaining the high performance required for AI and scientific computing. It’s a powerful example of how AI data centres can scale sustainably — and telegraphs an actionable blueprint for others to follow.

Furthermore, industry leaders are shifting how they handle the heat generated by these large computing systems in order to drive further efficiency in AI. Successfully using heat from data centres for other uses will be a vital component to mitigating both overall energy security risks and the efficiency challenges that AI introduces. Data centres are being redesigned to capture by-product heat and use it as a valuable resource, rather than dispose of it as waste heat. Several industries are already benefiting from capturing data centre heat, such as in agriculture for greenhouses, or heating buildings in healthcare and residential facilities. This has been successfully implemented in the UK with the Isambard-AI supercomputer and in Finland with the LUMI supercomputer — setting the bar for AI sustainability best practice globally.

The message is clear: as AI becomes a bigger part of digital transformation projects, so too must the consideration for resource-efficient solutions grow. AI sustainability considerations must be factored into each stage of the AI life cycle, with solutions like DLC playing a part in in a multifaceted IT sustainability blueprint.

By working together with governments to set effective and actionable environmental frameworks and benchmarks, we can encourage the growth and evolution of the AI industry, spurring dynamic innovation in solutions and data centre design for the benefit of all.

1. AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works – News – IEA
2. https://www.hpe.com/us/en/newsroom/blog-post/2024/08/liquid-cooling-a-cool-approach-for-ai.html
3. HPE introduces next-generation ProLiant servers engineered for advanced security, AI automation and greater performance
4. https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Adopting_Artificial_Intelligence_AI

Image credit: iStock.com/Dragon Claws

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