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新中两国科学家合作研究获得突破:可用二氧化碳生产燃料_我的网站

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Envision Galaxy Campus, the world's largest single AI computing facility by China's green technology company Envision Group, enters into operation in Ulanqab, North China's Inner Mongolia Autonomous Region, on August 6, 2026. Photo: Envision GroupChina's largest artificial intelligence (AI) computing industrial park was completed and put into operation in Ulanqab, North China's Inner Mongolia Autonomous Region on Thursday. Meanwhile, Chinese AI start-up DeepSeek is reportedly also planning a massive AI data center there.
As more Chinese companies choose to stack data centers in a lesser-known city in Northern China, seeking cheaper land, electricity and cooler climate, Chinese industry experts said on Friday that the country's institutional advantages in developing AI are being fully demonstrated, providing solid support for an emerging industry that is continuously promoting welfare globally as an international public good.
China's green technology company Envision Group announced that its Envision Galaxy Campus - a large-scale AI data center (AIDC) - in Ulanqab officially entered operation on Thursday. It is also the single AIDC with the largest token output capacity in the world, Chinese green technology company Envision Group said in a statement sent to the Global Times on Friday.
Envision Group said its Envision Galaxy Campus in Ulanqab, with a planned total capacity of 2 gigawatts, integrates renewable energy, intelligent power management and high-density computing at unprecedented scale.
Envision is not the only Chinese company interested in building an AI data center in Ulanqab.
Recently, Chinese AI start-up DeepSeek posted a job opening for a senior data center operations and maintenance engineer, listing "Ulanqab" as the work location, which analysts said "hinted at a new data center of DeepSeek."
A recent report by Bloomberg also indicated that DeepSeek is also planning a massive AI data center there, citing people familiar with the matter. The report describes the project as "an ambitious move" in computing infrastructure from the start-up that's shown it can compete with the leading AI models of Silicon Valley.
DeepSeek is looking to add 1 gigawatt worth of compute in Ulanqab, about 350 kilometers northwest of Beijing, the report said. The announced and planned AI data centers are the latest addition to more than a dozen firms that have projects planned in the city.
Chinese experts said that these data centers located in Ulanqab, with its cool and dry climate, enjoy a natural advantage in heat dissipation that accounts for a major part of a data center's maintenance. But it is more than that. The city's status as a massive producer of clean energy as well as a hub of China's national computing power network, and a national development blueprint that goes back for years, are behind the companies' decisions, and these factors together are a vivid display of China's institutional advantage.
Unique advantageEnvision told the Global Times that its Envision Galaxy Campus features an area of 120,000 square meters, roughly equivalent to 20 standard football fields, and supports the computing capacity for 1 million graphics processing units (GPUs) in parallel, making it the AIDC with the highest token output capacity globally and setting a new benchmark for compute density in AI infrastructure.
With a purposely built proprietary AI Power System that enables stable, high-efficiency power transmission and energy storage just like a "power expressway and electricity granary", the facility can deliver up to ten times compute output per square meter more than conventional data centers.
Explaining why Ulanqab was chosen as the facility site, Envision said the city is one of the eight digital infrastructure hubs of the national "east data, west computing" project, allowing the center to have minimal latency for online computing tasks - a required feature as the number of GPUs multiplies at AI clusters.
Some 67 percent of the area's electricity is generated from wind and solar, making the base an ideal place to tap green energy, the company noted, adding that it aims to develop 5 gigawatts of green AIDC capacity in desert and arid regions worldwide by 2030.
"Light travels at roughly 300,000 kilometers per second. But when it comes to supercomputing, latency becomes a matter so the physical distance between computing demand and computing capacity becomes a factor to be considered," Ma Jihua, a veteran technology industry analyst, told the Global Times on Friday.
"The AI computing clusters will effectively serve demand generated in Northern China, particular the Beijing-Tianjin-Hebei region, where the digital economy is growing fast," Ma said.
Tian Feng, former dean of SenseTime's Intelligence Industry Research Institute, said that companies' selection of Ulanqab is more than a simple geographic location balancing - it is an act that reflects the underlying shift in companies' site-selection logic, as the compute paradigms shift from storage to training and inference.
To support the synchronous training of a cluster equipped with as much as one million GPUs, Envision needs to build its own wind farms and dedicated transmission lines; this is not merely a matter of "finding a cool spot to house server racks" but rather integrating power system engineering directly into the AI compute infrastructure, Tian told the Global Times on Friday.
"Data centers in the storage era have been passive consumers of the power grid. Now, in the AI training era, they require the grid to be custom-designed for them," Tian said. "This way, the energy company can lock electricity costs at its AI centers within a controllable range, giving it teeth for competition in the upcoming token economy era."
As the next frontier of AI is infrastructure, the cost of computing becomes a company's core competitiveness, Tian said.
By tapping rich renewable energy sources and direct power transmission from wind farm to data center, the electricity price at data centers in Hohhot, provincial capital of Inner Mongolia Autonomous Region and home to another data center cluster, is only one third of that in Beijing, domestic news portal bjnews.com.cn reported in June.
The unfolding story around Ulanqab also highlighted China's institutional strengths.
"The government drew up a plan, laid down the backbone of a national computing power network, and private-sectors companies followed up with their own investment, forming a self-reinforcing positive loop," Ma said.
To underpin AI growth, China's Government Work Report this year unveiled plans to launch new infrastructure projects focused on hyperscale intelligent computing clusters, alongside the coordinated development of computing capacity and power supply, according to the Xinhua News Agency.
Meanwhile, China's robust clean energy infrastructure and aggressive expansion plans for the upcoming five-year cycle are also poised to secure the critical power supply needed to meet the energy-intensive demands of AI computing.
The National Development and Reform Commission, China's top economic planner, said computing power network construction during the 15th Five-Year Plan period (2026-30) will lead to new direct investment of 4 trillion yuan ($592.68 billion), citing estimates by relevant institutions, the Securities Times reported on July 31.
Statistics show that by the first quarter of 2025, the total computing power of the eight data computing hubs of the "east data, west computing" project had reached 215.5 EFLOPS, with intelligent computing power accounting for 80.8 percent, according to Xinhua.
Computing power benefiting worldYin Hejun, minister of Science and Technology, termed AI, robotics and innovative drugs as China's "new new three" at a recent policy briefing.
Ma said the expanding buildup of Chinese AI infrastructure reflects the strong growth of China's AI-related industries, which have emerged as new drivers of China's export growth, representing China's new core strategic industries and fresh economic growth engines.
As China's AI computing power grows, the country will be more well positioned to handle global demand, as it becomes the world's "token factory" by capitalizing on its energy strengths, Ma noted.
As China's technology exports now extend to digital services, with companies increasingly providing AI algorithms, cloud computing, and digital solutions to overseas markets, analysts said the competitively priced compute power from China will serve the world as an international public good in the emerging "token economy."
"In the future, computing clusters in Northern China will be ideal for handling computing needs generated from the Central Asian and Northeast Asian markets, due to its geographic proximity," Ma said.
Although some Western media outlets have recently targeted China's cost-effective AI products with a flurry of far-fetched skepticism in a bid to curb the growth of China's AI industry, Chinese AI products are already benefiting the world, analysts and industry insiders said.
For instance, Chinese AI company iFLYTEK said that its AI-powered intelligent teaching system has helped expand Chinese language learning worldwide and supported the digital development of Chinese education in overseas markets. The AI-powered intelligent Chinese teaching system has greatly expanded students' practice opportunities: On average, learners now speak Chinese 12 times per session, compared with only twice in regular classes at a Thai school, the company said.
As China embraces the concept of technology for good and inclusive AI to be shared by the whole of mankind, more people in the world will benefit from this trend, analysts noted.
。 Sophie 编译 如果我们能将温室气体二氧化碳转化为燃料,那将是对抗全球变暖的巨大飞跃。

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新西兰和中国科学家开发了一个系统以实现这一目标,这被誉为一项突破。
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最终,这一过程不仅可以减少排放,还可以通过让新西兰利用回收的二氧化碳生产自己的燃料,加强新西兰的燃料安全性。
根据气候变化政府间专门委员会的明确说法,人类活动使地球变暖,导致极端天气事件更加频繁和强烈。
但是人类造成的损害,这些科学家们也许能够弥补。
“这个领域有很大的可能性可以改变我们的社会。”奥克兰大学计算化学家Ziyun Wang博士(下称“王博士”)说。
王博士是来自奥克兰大学和中国武汉华中科技大学的科学家团队的一员,他们开发了一种将二氧化碳转化为有用化学物质的系统。
这是世界首创,因为它可以连续运行超过5000小时而无故障,因此可能实现商业化。

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“如果二氧化碳能够变成一些有用的化学物质,那么未来它就不再是负担。如果是这样的话,我希望它能赚钱,那么二氧化碳就不再是一个问题了。”
二氧化碳既可以从大气中获得,也可以从工业厂房的烟气中获得。
然后通过一个过程,施加电流改变化学物质的性质,再加入氢,产生甲酸。
这样就可以将其转化为燃料,为我们的汽车和其他电子产品提供所需的能源。
最终,希望该过程也能生产出甲醇或乙醇,目前这些物质主要使用化石燃料生产。
还有一个好处——新工艺中使用的电解质可以直接从废铅电池中获取。这一点很重要,因为许多电动汽车都使用这些电池。
王博士说:“我们找到了最经济的来源,基本上是免费的,甚至有人会专门付钱让你清理掉它们,比如废旧电池。”
王博士表示,这项技术在新西兰可能尤其有用,因为我们依赖进口精炼燃料,而供应很容易因地缘政治冲突或全球大流行而中断。
“如果我们能把二氧化碳转化为燃料,我们就能在新西兰用可再生能源生产燃料。

四 | ”
这项技术仍处于起步阶段,最大的挑战将是如何有效地获得二氧化碳——但人们希望像这样的进步能够减缓地球的快速变暖。
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