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作者:徒扁 来源:原创 发布日期:08-21

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Can US afford cost of clean-energy protectionism in race for AI capabilities?_我的网站

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Illustration: Liu Xiangya/GT
    Illustration: Liu Xiangya/GT
Recent media reports have questioned whether a natural gas plant built to power an Amazon data center project in Texas could become the largest climate polluter in the US. The controversy, whatever the eventual outcome, offers a reality check for America's artificial intelligence (AI) drive. 
It exposes a growing contradiction: The US is racing to expand its AI capabilities, yet its protectionist trade policies are making it harder and more costly to access some of the clean-energy technologies needed to sustain that expansion. This raises a broader question: Can an energy-intensive AI race afford the costs of renewable energy protectionism?
The US is entering a new era of rising electricity demand. Data centers, the backbone of the AI economy, are emerging as one of the fastest-growing sources of power consumption. Much of that demand is still being met by fossil fuels: The International Energy Agency reports that natural gas supplies more than 40 percent of the electricity used by data centers in the US, making it their largest source of power. 
So, it's not surprising that the expansion of data centers has raised concerns over their environmental impact and the pressure they could place on local power systems and electricity bills. A Gallup survey conducted in March found that seven in 10 Americans opposed the construction of AI data centers in their local area, including 48 percent who strongly opposed such projects.
The findings point to a broader challenge for the US: The race to develop AI is increasingly becoming a race to meet growing energy needs. Addressing this challenge will require more than advances in computing technology; it will also depend on an energy system capable of delivering large amounts of reliable, affordable and cleaner power. That, in turn, will require faster development and broader deployment of clean-energy technologies, from solar power to energy storage.
Yet in the clean-energy sector, the US has increasingly relied on protectionist trade measures that limit access to cost-competitive products from global markets. The country has placed greater emphasis on expanding domestic manufacturing capacity, but rebuilding entire clean-energy supply chains at home is a costly and time-consuming process. Even if expanded domestic production is achieved, it is likely to come at a higher cost, making the deployment of renewable technologies more expensive and potentially slower.
The solar industry offers a clear illustration of this policy direction. The US has continued to expand trade barriers in the sector. Reuters reported that the US government announced on Thursday a series of price floors and a 15 percent tariff on products made from polysilicon, a raw material used in solar panels.
The challenge lies in the limited scale of the US polysilicon industry. Reuters reported that the country has two polysilicon factories. Against this backdrop, relying on domestic polysilicon production while restricting access to imports runs counter to the goal of expanding solar power in the US. The country risks creating barriers that ultimately constrain its own access to the global supply chains needed for growth.
The pressing issue for the US is the speed at which new power demand is emerging. The expansion of data centers is creating electricity needs that cannot wait for domestic clean-energy capacity to develop gradually. Global supply chains can provide the scale and speed required in the near term. By narrowing access to these sources, the US risks turning clean-energy policy into a drag on the infrastructure needed for its AI race.
The US has placed AI high on its economic and technological agenda. The outcome of this race will matter greatly, as financial markets are also watching whether America can turn its AI efforts into commercial success.
This leaves the US with a difficult choice: Can it afford the cost of clean-energy protectionism while racing to build AI infrastructure? The answer may be no. Trade barriers that limit access to competitive renewable technologies could ultimately become a constraint on the AI expansion that Washington is seeking to accelerate.
The author is a reporter with the Global Times. [email protected]

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巴西南部南里奥格兰德州最近连降暴雨,引发洪水和山体滑坡等自然灾害。
据央视新闻,当地时间5月11日上午,巴西南里奥格兰德州民防部门发布信息显示,自4月29日以来袭击该州的暴雨灾害已导致136人死亡、756人受伤、125人失踪,另有44.1万余人流离失所目前该州受暴雨灾害影响的城市为444个,受灾人数超过195万人
综合央视新闻、新华社报道,南里奥格兰德州有2座大坝处于紧急状态,存在坍塌风险。

C | 在该州首府阿雷格里港,瓜伊巴河水位上涨至5.3米,达到历史最高值,并发生决堤,许多街区被淹,阿雷格里港国际机场5月3日起停运。

巴西地质部门说,此次洪灾的严重程度已超过1941年的历史性洪水,部分地区水位达到近150年有记录以来的最高水平
此次暴雨在南里奥格兰德州引发断水、断电、断网的情况。
巴西气象部门数据显示,部分地区在不到一周的时间内降雨量达到300毫米,南里奥格兰德州497个城市中超过三分之二受到洪水等灾害影响,部分道路和桥梁被冲毁,逾40万用户电力供应中断,全州近三分之一居民供水中断。当局表示,这是南里奥格兰德州历史上最严重的自然灾害。
阿雷格里港人口约130万。

D | 受本轮恶劣天气影响,许多人家已断水断电多日。

E | 市长办公室消息说,阿雷格里港6家污水处理厂中眼下仅有2家维持运行,许多医院和避难所不得不依赖运水车解决饮用水需求。

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连日来,巴西总统路易斯·伊纳西奥·卢拉·达席尔瓦已多次视察灾区,承诺提供援助。超过3000名军人、消防员和救援人员投入救灾。巴西海军8日向南里奥格兰德州派出“大西洋”号多用途航空母舰,舰上设有两个移动污水处理装置。
志愿者法比亚诺·萨尔达尼亚说,5月3日以来,他和朋友用水上摩托艇转移了大约50名受困人员,在受灾街区随处可以听到呼救声。
凯莉·莫赖斯家的房屋一楼被淹。他们受困于二楼时获救,现栖身于阿雷格里港一处临时避难中心。

G | 37岁的护士罗萨娜·库斯托迪奥的住宅同样被淹。她告诉法新社记者,洪水2日夜间来袭,水位迅速上涨,她和丈夫、3个孩子乘皮艇匆忙转移,虽然家人安全无虞,但“我们失去了全部家当”。

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在阿雷格里港附近的卡诺阿斯市,76岁的儒利奥·马尼切斯科获救时被洪水困在他居住了52年的老屋房顶。“我从来没见过这么大的(洪)水。”
据悉,南里奥格兰德州是巴西经济最繁荣的州之一,也是巴西重要的大豆、大米、小麦和玉米的生产基地,此次洪灾造成的经济损失严重。
受厄尔尼诺现象影响,巴西近来遭遇一系列极端天气事件,北部干旱,南部强降雨频繁。有关专家表示,气候变化导致此类事件发生的几率增加

I | 南里奥格兰德州于去年9月和11月都发生过洪灾。

除了巴西外,印度尼西亚、美国、阿富汗、乌拉圭、肯尼亚等多国近日也遭遇洪水袭击。
印度尼西亚南苏拉威西省因强降雨引发洪水和山体滑坡,造成至少15人死亡。此外,印度尼西亚西苏门答腊省官员称,当地时间5月12日,该省阿甘县强降雨引发洪水,已致15人死亡、18人受伤,另有多座房屋损毁。
据美国媒体报道,美国得克萨斯州5月初遭遇暴雨袭击,洪水已经淹没了休斯敦的社区,救援人员已经从被洪水淹没的屋顶和道路上救出了400多人。
此外,据美联社当地时间5月10日报道,美国阿拉斯加州西南部因春季河冰融化而遭洪水侵袭,该州州长迈克·邓利维当日因此发布灾难声明。报道称,阿拉斯加州贝塞尔市本周的河流水位达到了近20年来最高点。
目前,洪水已经淹没了贝塞尔市低洼地区的房屋以及奎斯卢克市的大部分地区,并阻断了通往该州纳帕斯基亚克机场的道路。此外,受洪水影响,阿拉斯加州的主要污水处理系统已经关闭,该州正在通过空运瓶装水的方式向民众供水。
据肯尼亚政府5月11日的统计数据,自3月中旬以来,肯尼亚强降雨引发的洪水灾害已造成267人死亡,另有77人失踪。洪灾还导致约281835人流离失所。
据联合国世界粮食计划署和阿富汗地方官员11日发布的消息,两天来,暴雨造成的洪水等灾害已导致阿富汗超过330人遇难

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10日以来,阿富汗北部的巴格兰省、巴达赫尚省,以及塔哈尔省等多地遭遇暴雨,并引发洪灾和泥石流。其中,巴格兰省受灾最为严重,截至11日,遇难人数已超300人,近5000栋房屋受损或沦为废墟,电力与通信设施严重损坏,一些村庄与外界的交通被切断。

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