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Aged care goes green with renewable wind and solar power agreement

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22 Nov, 2023

This post was originally published on Sustainability Matters

Aged care and community services provider BaptistCare NSW, ACT and WA has signed a 10-year power purchase agreement (PPA) with Flow Power, linking energy use from its NSW and ACT operations to renewable generation from January 2025.

The PPA will allow BaptistCare to purchase around 15,000 megawatt hours each year from solar and wind farms in NSW from 2025. This will reduce the carbon footprint of its NSW and ACT operations by 70% (off a 2022 baseline of Scope 1 and 2 emissions).

“BaptistCare is committed to reaching net zero in our Scope 1 and 2 emissions by 2050 or before, and this PPA with Flow Power forms a key part of our credible roadmap to get there,” said Thomas Griffiths, Head of Strategy & Investments for BaptistCare NSW, ACT and WA.

“We will save around 11,000 tonnes of carbon per year, which is like taking 25,000 petrol-powered cars off the road over the 10 years of the agreement.1

“It’s also a way to ensure BaptistCare is a part of the just transition. We care for some of the most vulnerable people in our communities, and this PPA, paired with other initiatives, is one part of our commitment to caring for people, planet and the community. We are proud to help lead the aged care and community sector towards a just transition to renewable energy,” Griffiths said.

Byron Serjeantson, Chief Operating Officer for Flow Power, said: “This agreement represents a significant milestone on their 2050 net zero roadmap, and an important moment for the wider aged care sector.”

Along with obtaining supply linked to renewable energy sources and large-scale generation certificates (LGCs) from Flow Power, the agreement will complement other environmental and sustainability initiatives from BaptistCare. These include the installation of solar panels at residential aged care homes and efforts to reduce Scope 3 emissions such as through improved recycling practices.

“The scale of these challenges requires innovation and collaboration. We are grateful for the support from the NSW Office of Energy and Climate Change and the Sustainability Advantage Program to develop our net zero pathway and identify opportunities to reduce our emissions,” said Charles Moore, CEO of BaptistCare NSW, ACT and WA.

1 EPA Greenhouse Gas Equivalencies Calculator: Greenhouse Gas Equivalencies Calculator | US EPA

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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

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