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蓝箭真空型液氧甲烷发动机完成首次全系统试车：国内推力最大_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 advantage
Envision 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 world
Yin 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.
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B | 10月19日消息，近日，蓝箭航天“天鹊”真空型液氧甲烷发动机（ TQ-15A）在湖州成功完成了首次全系统热试车，试验时长20秒，试验过程中发动机起动关机正常、工作平稳。据介绍，TQ-15A为目前国内推力最大的真空型液氧甲烷发动机，真空推力达836千牛，是朱雀二号火箭第二批次的二级主发动机。与现有80吨+10吨的二级发动机布局方案相比，取消了游动发动机TQ-11，主发动机由不摇摆改为泵前摆，降低了二级发动机系统复杂度，总重量减轻约400千克，推力室进一步增大喷管面积比，并将涡轮排气引入推力室大喷管进行冷却，解决了涡轮排气引起的干扰力问题。TQ-15A发动机真空推力提高9%、真空比冲提高130米/秒，推力调节范围拓宽至55%~110%且具备三次起动能力，可大幅提升火箭发射任务的适应性。本台TQ-15A发动机为带伺服机构不带大喷管状态，本次试车重点考核发动机系统、总装和各组合件改进方案的可行性，验证起动关机时序的正确性，获得发动机的实测性能数据及工作特性，发动机按预定程序起动和关机、工作平稳，达到了预期设计目标。本轮试车计划开展5次试车（含两次多次起动）、累计试车时间970秒，首次试车结束后将继续考核发动机长程工作可靠性、大范围推力调节时的工作适应性、发动机与伺服系统的工作协调性，多次起动、高低入口压力及过冷推进剂等各种条件下的发动机的工作适应性，全面验证发动机设计方案，并获得大喷管条件下发动机的性能数据。