New Airship-style Wind Turbine Can Find Gusts at Higher Altitudes for Constant, Cheaper Power

The S1500 from Sawes – credit, handout

A new form of wind energy is under development that promises more consistent power and lower deployment costs by adapting the design of a dirigible, or zeppelin.

Suspended 1,000 feet up where the wind is always blowing, it presents as an ideal energy source for rural communities, disaster areas, or places where wind turbines aren’t feasible to build.

The design has grown through multilateral innovation by dozens of engineers and scientists, but an MIT startup called Altaeros, and Beijing-based start-up Sawes Energy Technology have taken it to market. Both have already produced prototypes that boast some serious performance.


In 2014, Altaeros’ Buoyant Air Turbine (or BAT) was ready for commercial deployment in rural Alaska, where diesel generators are still heavily relied on for power. Its 35-foot-long inflatable shell, made of the same materials as modern blimps, provided 30 kilowatts of wind energy.

As a power provider, though, Altaeros could never get off the ground, and now has adopted much of its technology to the provision of wireless telecommunication services for civil and commercial contracting.

Heir to Altaeros’ throne, Sawes has managed to greatly exceed the former’s power generation, and now hopes to achieve nothing less than contributing a Chinese solution to the world’s energy transition.

Altaeros’ BAT – credit, Altaeros, via MIT

During a mid-September test, Sawes’ airship-like S1500, as long and wide as a basketball court and as tall as a 13-storey building, generated 1 megawatt of power which it delivered through its tether cable down to a generator below.

Conducted in the windy, western desert province of Xinjiang, the S1500 surpassed the capabilities of its predecessor turbine by 10-times, which achieved 100 kilowatts in October of last year.

Dun Tianrui, the company’s CEO and chief designer, called the megawatt-mark “a critical step towards putting the product into real-world use” which would happen next year when the company expects to begin mass production.

At the same time, the Sawes R&D team is looking into advances in materials sciences and optimization of manufacturing that will ensure the cost of supplying that megawatt to rural grids will be around $0.01 per kilowatt-hour—literally 100-times cheaper than what was theorized as the cost for Altaeros’ model from 10 years ago.

One of the major positives of the BAT is that by floating 1,000 to 2,000 feet above the ground, they render irrelevant the main gripe and failing of wind energy—that some days the wind doesn’t blow. A conventional turbine reaches only between 100 and 300 feet up, putting birds at risk as well as not collecting all the air that’s blowing over the landscape.

Sawes’ unit is about 40% cheaper to build and deploy than a normal turbine, presenting the opportunity for a 30% lower cost for buying the wind energy.According to a piece in the Beijing Daily, reported on by South China Morning Post, challenges remain before commercial deployment can begin, including what to do during storms, and whether or not it will compete in communities with existing coal-power supply. New Airship-style Wind Turbine Can Find Gusts at Higher Altitudes for Constant, Cheaper Power
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Worldwide spending on AI is expected to be nearly $1.5 trillion in 2025: Report

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New Delhi, (IANS): Worldwide spending on artificial intelligence (AI) is expected to be nearly $1.5 trillion in 2025, up nearly 50 per cent up from $987,904 in 2024, a report said on Monday.

Further, the overall global AI spending is likely to top $2 trillion in 2026, led by AI integration into products such as smartphones and PCs, as well as infrastructure, according to a business and technology insights company Gartner, Inc report.

Mirroring last year's spending graph, generative AI integration in smartphones would lead the spending at $298,189 this year as well, followed by AI services ($282,556), AI-optimised servers ($267,534), AI processing semiconductor ($209,192), AI application software ($172,029) and AI infrastructure Software ($126,177).

"The forecast assumes continued investment in AI infrastructure expansion, as major hyperscalers continue to increase investments in data centres with AI-optimised hardware and GPUs to scale their services," said John-David Lovelock, Distinguished VP Analyst at Gartner.

"The AI investment landscape is also expanding beyond traditional U.S. tech giants, including Chinese companies and new AI cloud providers. Furthermore, venture capital investment in AI providers is providing additional tailwinds for AI spending," he added.

According to the report, the AI spending would reach $2.02 trillion in 2026 following a similar growth trajectory.

In 2026, spending on Generative AI integration in smartphones is likely to be at $393,297. Meanwhile, the spending on AI Services would reach $324,669, and for AI-optimised servers, it would go around $329,528

Similarly, AI processing semiconductor ($267,934), AI application software ($269,703) and AI infrastructure software ($229,885) will also put weight in spending on AI.

The other segments, attracting AI spending, would be AI PCs by ARM and x86, AI-optimised IaaS, and GenAI Models.Gartner providers equip tech leaders and their teams with role-based best practices, industry insights and strategic views into emerging trends and market changes to achieve their mission-critical priorities and build the successful organisations of tomorrow. Worldwide spending on AI is expected to be nearly $1.5 trillion in 2025: Report | MorungExpress | morungexpress.com
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