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Navigating the complex SF6 road

A year from now, under EU Regulation (EU) 2024/573 and in line with the Paris Agreement, the use of sulphur hexafluoride (SF6) will be banned in medium voltage equipment rated up to 24kV across the EU-27. In 2030, the ban will be extended to all devices with an insulation voltage of up to 52kV and, […]

A year from now, under EU Regulation (EU) 2024/573 and in line with the Paris Agreement, the use of sulphur hexafluoride (SF6) will be banned in medium voltage equipment rated up to 24kV across the EU-27.

In 2030, the ban will be extended to all devices with an insulation voltage of up to 52kV and, in 2032, high voltage switchgear with a “global warming potential” (GWP) of one or more and a short circuit current of more than 50kA will be banned.

GWP is based on SF6, a potent, synthetic greenhouse gas that has been used as an insulating and circuit breaking medium in switchgear for a long time, especially since the production of an earlier and also highly pernicious insulator, polychlorinated biphenyl (PCB) was supposedly banned more than 40 years ago under the Stockholm Convention.

SF6 has a GWP that is 22,800 to 25,000 times higher than carbon dioxide (CO2).

Whether the UK will follow the timeframe set out by the EU appears to be in flux. There has been speculation that our power distribution networks (grid) favour a split.

However, the change of government last summer and efforts now being made by the Starmer administration to rebuild bridges with the EU-27 could force the UK into line.

Meanwhile, the regulation, which includes measures for the management of existing SF6-containing equipment to ensure safe handling and eventual disposal, is of huge importance to the energy industry; particularly wind power off and onshore, generating plants on North Sea oil and gas installations and power grids, directly and indirectly.

Across the EU where there is a huge onshore industry and where the offshore build-out is now leaping forward, it appears that the first phase will be highly significant, especially onshore as much of the generating and related grid infrastructure is now mature and based on relatively small turbines.

Offshore is a different matter; the sector is younger and much of it is based on large and, increasingly super-large turbines. The bulk of North Sea developments to date are in the UK sector.

While wind turbines were producing 0.5MW of power at a height of 40m in 1990, today’s turbines produce 10 MW and more, and so need higher voltage levels and innovative technologies.

A transmission voltage of 66 kV has now become standard for offshore wind projects.

Broadly, the electrical system for an offshore wind farm presently comprises a medium-voltage electrical collection grid within the asset and a high-voltage electrical transmission system to deliver the power to an onshore transmission line.

The following data should help provide a basic means by which the scale of the SF6 transition challenge becomes obvious.

Europe installed 18.3GW of new wind power capacity in 2023. The EU-27 installed 16.2GW of this; a record amount but only half of what is needed to meet its 2030 climate and energy targets. 79% of the wind capacity built in Europe last year was onshore.

The volume of new offshore installations is growing – last year it was a record 3.8GW in Europe. But two-thirds of the new wind installations up to 2030 will continue to be onshore.

The expectation is that Europe will install 260GW of new wind power capacity over 2024-2030. The EU-27 should install 200GW of this so, 29GW a year on average.

To meet its 2030 climate and energy targets the EU now needs to build 33GW a year on average.

The expectation is that the EU-27 will fall around 30GW short of its overall 425GW ambition needed to meet the 42.5% renewable energy target.

Closer to home, the UK has passed the 30GW milestone, split virtually equally onshore: offshore. Trade association Renewable UK currently records a new project pipeline of around 45GW, primarily offshore.

The current government’s dream is to double onshore wind and quadruple offshore wind by 2030 to 30GW and 60GW respectively.

Fortunately, from a greenhouse gas compliance perspective, the build-out of new generating capacity offers the opportunity to incorporate necessary changes in a relatively straightforward way.

As the oil and gas industry knows only too well, modifying existing infrastructure is complex, costly and may hit revenue.

However, Big Wind is already proving itself equal to challenges thrown at it to date including upgrading existing wind farms via repowering. It helps that there is a lot of relevant North Sea oil and gas experience to tap.

The greatest challenges may turn out to be onshore as it is estimated that, in the UK alone, five times more power infrastructure needs to be constructed by 2030 than in the past three decades to deliver a net zero grid.

According to Europe’s Environmental Coalition on Standards (ECOS): “In the UK, one million kg of SF6 is installed across the electricity network. This is increasing by 30 to 40 tonnes per year.”

SF6 use is also rising in the EU

“In 2017, total SF6 emissions in the EU and UK combined amounted to 6.73 million tonnes of CO2, which equals the emission of 1.3million extra cars on the road,” adds ECOS.

The UK’s National Grid has been on the case for at least a decade and, in 2017, set a precedent.

April 13 that year, it passed a major milestone with the energisation of the first SF6-free 420kV gas-insulated line in its south-east England network. The new Sellindge substation was deployed in an operationally critical part of the UK’s transmission network.

In October this year, news broke that the company had started work with DNV and others on a project aimed at managing SF6 out of the UK’s electricity transmission network to facilitate the shift to clean alternatives, including for retrofit of existing switchgear.

Partners involved in this collaborative include National Grid as lead; University of Manchester, ScottishPower Transmission, Scottish Hydro Electric Transmission, DILO Armaturen und Anlagen and WIKA Instruments.

Staying onshore for a few more paragraphs, last year, UK Power Networks (UKPN) installed its first ‘clean air’ gas-insulated switchgear (GIS) operating at 132,000 volts, which is free of SF6.

In its place is a mix of dehumidified oxygen, and nitrogen, which has zero global warming potential.

UKPN worked with Siemens Energy to manufacture the system which is apparently doing its job efficiently as part of a substation upgrade in Lewes, East Sussex.

UKPN is the first UK distribution network operator (DNO) with an officially ratified science based target (SBT) committing to reduce all its Scope 1, 2 and 3 emissions by 25% by 2028 from a 2018/19 baseline.

The firm has also set a net zero target by 2028 on its controllable Scope 1 and 2 emissions, which include SF6 emissions.

Back to the North Sea and offshore wind where discovering who is actively trying to eliminate SF6 proved surprisingly hard; even working with EIAs (environmental impact assessments) presented to government for interrogation and approval by developers.

The most eye-opening criticism discovered was the EIA for Dogger Bank D submitted in June 2023 by a 50/50 joint venture between SSE Renewables and Equinor to the Planning Inspectorate of the UK Government.

It is tough: “The inspectorate does not consider that the scoping report has provided a sufficient amount of detail to justify scoping out the impacts of emissions from plant and machinery on human health and ecological sites during operation.

“Additionally, limited information has been provided with regard to hydrogen, oxygen and sulphur hexafluoride (SF6) emissions associated with operation of the hydrogen production facility (HPF).

“The inspectorate considers that an assessment of emissions associated with operational plant and machinery and the HPF should be included in the ES where likely significant effects could occur, or for the ES to provide a reasoned justification supported by evidence to demonstrate why a detailed assessment is not required.”

Turning to the 1,283-page Moray West Offshore Windfarm EIA dated 2018 and submitted to Marine Scotland for approval, there are just two cursory references to SF6.

Page 7 of ‘Description of Development’; listed under ‘Oils and Fluids’. No description.

Page 22/23, this time under ‘Oils, Fluids and Effluents’. The notation reads: “SF6 (insulating gas for preventing electrical discharge)”.

That’s all that developers EDP Renewables (EDPR) and ENGIE in JV (but with a minor shareholding by Ignitis Group) accorded to the intended use of the world’s most dangerous and forever greenhouse gas.

Notwithstanding, at least one developer is aware and it is ScottishPower with its East Anglia One project, possibly the first UK offshore North Sea windfarm to eliminate the use of SF6 offshore at the outset.

It was 2009 when ScottishPower Renewables and Vattenfall Wind Power began working on an equal collaborative partnership 2009 to develop capacity for offshore wind generation off the East Anglian coast.

£ 2.5 billion East Anglia One (714MW), was first out of the gate, securing development in 2014 followed by the award of a contract for difference (CfD) by the government in 2015.

In February 2015, ScottishPower went solus on the project, basing it on 102 Siemens Gamesa turbines with SF6-free, gas-insulated 8VM1 high-voltage switchgear (GIS) sets.

Offshore construction began in 2018 and the project was commissioned in July 2020.

Two further phases, two and three are in hand but no information about their SF6 status was forthcoming from ScottishPower despite repeated approaches.

To close, in its brief ‘Worst in Class, Phasing-out Sulphur Hexafluoride’, ECOS advises that SF6 used in renewables projects is not necessarily accounted for in official statistics, and that “many developers of renewable energy installations are not aware of the problems related to SF6, nor the existing alternatives”.

Renewable energy associations claim that the emission savings from replacing fossil fuels with renewable energy are still important despite the use of SF6.

ECOS warns: “However, given the long lifetime of SF6-based switchgear, it is important to transition towards clean and renewable energy sources, and switch to SF6-free alternatives as soon as the renewable energy facilities are installed.”

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Execution, Power, and Public Trust: Rich Miller on 2026’s Data Center Reality and Why He Built Data Center Richness

DCF founder Rich Miller has spent much of his career explaining how the data center industry works. Now, with his latest venture, Data Center Richness, he’s also examining how the industry learns. That thread provided the opening for the latest episode of The DCF Show Podcast, where Miller joined present Data Center Frontier Editor in Chief Matt Vincent and Senior Editor David Chernicoff for a wide-ranging discussion that ultimately landed on a simple conclusion: after two years of unprecedented AI-driven announcements, 2026 will be the year reality asserts itself. Projects will either get built, or they won’t. Power will either materialize, or it won’t. Communities will either accept data center expansion – or they’ll stop it. In other words, the industry is entering its execution phase. Why Data Center Richness Matters Now Miller launched Data Center Richness as both a podcast and a Substack publication, an effort to experiment with formats and better understand how professionals now consume industry information. Podcasts have become a primary way many practitioners follow the business, while YouTube’s discovery advantages increasingly make video versions essential. At the same time, Miller remains committed to written analysis, using Substack as a venue for deeper dives and format experimentation. One example is his weekly newsletter distilling key industry developments into just a handful of essential links rather than overwhelming readers with volume. The approach reflects a broader recognition: the pace of change has accelerated so much that clarity matters more than quantity. The topic of how people learn about data centers isn’t separate from the industry’s trajectory; it’s becoming part of it. Public perception, regulatory scrutiny, and investor expectations are now shaped by how stories are told as much as by how facilities are built. That context sets the stage for the conversation’s core theme. Execution Defines 2026 After

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Nomads at the Frontier: PTC 2026 Signals the Digital Infrastructure Industry’s Moment of Execution

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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