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          超百萬(wàn)民眾在嚴(yán)寒暴風(fēng)雪中遭遇停電,而鄰近數(shù)據(jù)中心仍在消耗大量電力

          數(shù)據(jù)中心的用電需求預(yù)計(jì)還將持續(xù)攀升。

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          寒冬降雪期間,輸電塔(電力鐵塔)與輸電線路被積雪覆蓋。圖片來(lái)源:Getty Images

          2026年1月下旬,冬季風(fēng)暴“弗恩”席卷美國(guó),帶來(lái)冰凍、降雪與極寒天氣,導(dǎo)致超百萬(wàn)民眾斷電,受災(zāi)區(qū)域主要集中在美國(guó)東南部。

          為應(yīng)對(duì)遠(yuǎn)超平均水平的高用電需求,運(yùn)營(yíng)美國(guó)中大西洋地區(qū)電網(wǎng)的非營(yíng)利公司PJM向聯(lián)邦政府申請(qǐng)?jiān)S可以提升發(fā)電量,即便這意味著燃燒高污染燃料,造成嚴(yán)重空氣污染。

          美國(guó)能源部長(zhǎng)克里斯·賴特(Chris Wright)批準(zhǔn)了該申請(qǐng),還采取了另一項(xiàng)舉措:授權(quán)PJM、管理得州電網(wǎng)的得州電力可靠性委員會(huì)(ERCOT),以及美國(guó)東南部主要電力供應(yīng)商杜克能源(Duke Energy),要求數(shù)據(jù)中心及其他高耗能企業(yè)啟動(dòng)備用發(fā)電機(jī)。

          此舉旨在確保風(fēng)暴期間居民用電供應(yīng)充足。這類設(shè)施通常僅自發(fā)自用,不會(huì)將電力回輸至電網(wǎng)。但賴特解釋稱,這些“工業(yè)柴油發(fā)電機(jī)”可“提供35吉瓦電力,足以滿足數(shù)百萬(wàn)戶家庭的用電需求”。

          我們是在美國(guó)東南部工作生活的電力領(lǐng)域?qū)W者。在冬季風(fēng)暴“弗恩”過(guò)后,我們認(rèn)為可以探索更為清潔的數(shù)據(jù)中心供電模式,同時(shí)助力社區(qū)做好冬季風(fēng)暴的防范、應(yīng)對(duì)與災(zāi)后恢復(fù)工作。

          數(shù)據(jù)中心消耗大量能源

          在賴特下達(dá)指令前,外界無(wú)法確定數(shù)據(jù)中心是否會(huì)在風(fēng)暴或其他緊急情況下削減電網(wǎng)用電量。

          這一問(wèn)題已迫在眉睫:數(shù)據(jù)中心為滿足生成式人工智能的用電需求,已推高PJM等負(fù)荷緊張電網(wǎng)的居民電價(jià)。

          數(shù)據(jù)中心的用電需求預(yù)計(jì)還將持續(xù)攀升。盡管估算數(shù)據(jù)差異較大,但勞倫斯伯克利國(guó)家實(shí)驗(yàn)室(Lawrence Berkeley National Lab)預(yù)計(jì),美國(guó)數(shù)據(jù)中心用電量占全國(guó)總發(fā)電量的比重將從2023年的4.4%飆升至2028年的6.7%至12%。PJM預(yù)計(jì),到2030年其電網(wǎng)峰值負(fù)荷將增長(zhǎng)32吉瓦,足以滿足3000萬(wàn)戶新增家庭的用電需求,而新增負(fù)荷幾乎全部流向新建數(shù)據(jù)中心。PJM的核心職責(zé)是統(tǒng)籌電力調(diào)度,并核算公眾及其他主體需承擔(dān)的供電成本。

          各方競(jìng)相新建數(shù)據(jù)中心并爭(zhēng)搶電力資源,這引發(fā)了公眾的強(qiáng)烈反對(duì),人們擔(dān)憂數(shù)據(jù)中心會(huì)推高家庭用電成本。此外還有多重隱憂:依賴燃?xì)獍l(fā)電機(jī)供電的高耗能數(shù)據(jù)中心可能損害空氣質(zhì)量、消耗水資源并加劇氣候惡化。不少數(shù)據(jù)中心的選址或規(guī)劃落地社區(qū),本就污染嚴(yán)重。

          地方條例、州公用事業(yè)委員會(huì)制定的法規(guī),以及聯(lián)邦層面的擬議法案,均試圖保護(hù)居民免受電價(jià)上漲影響,并要求數(shù)據(jù)中心承擔(dān)所需輸電和發(fā)電基礎(chǔ)設(shè)施的費(fèi)用。

          全天候不間斷供電?

          除持續(xù)加重電網(wǎng)負(fù)荷外,許多數(shù)據(jù)中心還向公用事業(yè)公司提出要求:為其提供可靠性達(dá)99.999%的電力供應(yīng)。

          但自20世紀(jì)70年代以來(lái),公用事業(yè)公司一直推行“需求響應(yīng)”計(jì)劃:大型用電企業(yè)同意在冬季風(fēng)暴“弗恩”等用電高峰期削減用電負(fù)荷,作為回報(bào),公用事業(yè)公司為參與該計(jì)劃的用戶提供電費(fèi)抵免等經(jīng)濟(jì)激勵(lì)。

          多年來(lái),需求響應(yīng)計(jì)劃幫助公用事業(yè)公司和電網(wǎng)運(yùn)營(yíng)商削減夏冬用電高峰負(fù)荷。智能電表的普及使居民用戶和小企業(yè)也能參與其中。將屋頂太陽(yáng)能、儲(chǔ)能電池、電動(dòng)汽車等分布式能源整合后,可作為“虛擬電廠”進(jìn)行調(diào)度。

          另一種解決方案

          數(shù)據(jù)中心與地方政府及公用事業(yè)公司的協(xié)議條款通常不對(duì)外公開(kāi),這使得外界難以判斷數(shù)據(jù)中心是否能夠或愿意臨時(shí)削減用電負(fù)荷。

          在某些情況下,為保障醫(yī)療記錄、銀行賬戶和航空訂票系統(tǒng)等關(guān)鍵數(shù)據(jù)系統(tǒng)的運(yùn)行,必須確保電力供應(yīng)不中斷。

          但隨著人工智能熱潮興起,數(shù)據(jù)中心用電需求激增,運(yùn)營(yíng)商也愈發(fā)愿意考慮參與需求響應(yīng)計(jì)劃。2025年8月,谷歌(Google)與印第安納密歇根電力公司(Indiana Michigan Power)、田納西河谷管理局(Tennessee Valley Authority)簽署新協(xié)議,提出“通過(guò)調(diào)控機(jī)器學(xué)習(xí)負(fù)載實(shí)現(xiàn)數(shù)據(jù)中心需求響應(yīng)”,在電網(wǎng)負(fù)荷緊張時(shí)將“非緊急計(jì)算任務(wù)”轉(zhuǎn)移至其他時(shí)段執(zhí)行。多家新興企業(yè)也應(yīng)運(yùn)而生,專為人工智能數(shù)據(jù)中心提供工作負(fù)載調(diào)配方案,甚至利用內(nèi)部電池儲(chǔ)能系統(tǒng),在電力短缺期間暫時(shí)切斷數(shù)據(jù)中心對(duì)公共電網(wǎng)的用電依賴。

          面向未來(lái)的靈活性

          一項(xiàng)研究發(fā)現(xiàn),若數(shù)據(jù)中心承諾靈活用電,那么無(wú)需新增發(fā)電和輸電設(shè)施,電網(wǎng)就能額外增加100吉瓦供電容量,足以滿足約7000萬(wàn)戶家庭的用電需求。

          另一案例中,研究人員展示了數(shù)據(jù)中心如何通過(guò)虛擬電廠投資場(chǎng)外發(fā)電項(xiàng)目來(lái)滿足自身用電需求。在企業(yè)和住宅安裝搭載儲(chǔ)能電池的太陽(yáng)能板,相較新建大型發(fā)電廠,能以更快速度、更低成本提升電力供應(yīng)。虛擬電廠還具備靈活調(diào)度的優(yōu)勢(shì),電網(wǎng)運(yùn)營(yíng)商可在用電高峰期調(diào)用電池儲(chǔ)能、調(diào)節(jié)溫控設(shè)備或關(guān)閉電器。這些項(xiàng)目還能為安裝光伏與儲(chǔ)能的建筑帶來(lái)益處。

          分布式能源發(fā)電與儲(chǔ)能、輸電線路防寒改造,以及可再生能源應(yīng)用,都是保障冬季風(fēng)暴期間及災(zāi)后電力供應(yīng)的關(guān)鍵舉措。

          這些舉措在田納西州納什維爾等地成效尤為突出。在冬季風(fēng)暴“弗恩”導(dǎo)致停電的高峰期,該市超23萬(wàn)戶用戶斷電,原因并非家庭用電量超出供電能力,而是輸電線路受損。

          人工智能的未來(lái)發(fā)展仍充滿不確定性。分析師警告稱,該行業(yè)可能存在投機(jī)泡沫:一旦行業(yè)需求陷入停滯,電力用戶最終可能要為那些為滿足虛增需求而建設(shè)的電網(wǎng)升級(jí)工程和新增發(fā)電設(shè)施買單。

          對(duì)于數(shù)據(jù)中心等大型用電企業(yè)而言,現(xiàn)場(chǎng)柴油發(fā)電機(jī)是緩解電網(wǎng)壓力的應(yīng)急方案,但這并非應(yīng)對(duì)冬季風(fēng)暴的長(zhǎng)久之策。若數(shù)據(jù)中心、公用事業(yè)公司、監(jiān)管機(jī)構(gòu)及電網(wǎng)運(yùn)營(yíng)商愿意考慮利用場(chǎng)外分布式能源滿足用電需求,那么相關(guān)投資不僅能抑制能源價(jià)格上漲、減少空氣污染和氣候影響,還能保障所有用戶在極端寒暑天氣下的電力持續(xù)供應(yīng)。(財(cái)富中文網(wǎng))

          尼基·盧克(Nikki Luke),田納西大學(xué)人文地理學(xué)助理教授與康納·哈里森(Conor Harrison),南卡羅來(lái)納大學(xué)經(jīng)濟(jì)地理學(xué)副教授

          本文依據(jù)知識(shí)共享許可協(xié)議(Creative Commons license)轉(zhuǎn)載自The Conversation,點(diǎn)擊查看原文。

          譯者:中慧言-王芳

          2026年1月下旬,冬季風(fēng)暴“弗恩”席卷美國(guó),帶來(lái)冰凍、降雪與極寒天氣,導(dǎo)致超百萬(wàn)民眾斷電,受災(zāi)區(qū)域主要集中在美國(guó)東南部。

          為應(yīng)對(duì)遠(yuǎn)超平均水平的高用電需求,運(yùn)營(yíng)美國(guó)中大西洋地區(qū)電網(wǎng)的非營(yíng)利公司PJM向聯(lián)邦政府申請(qǐng)?jiān)S可以提升發(fā)電量,即便這意味著燃燒高污染燃料,造成嚴(yán)重空氣污染。

          美國(guó)能源部長(zhǎng)克里斯·賴特(Chris Wright)批準(zhǔn)了該申請(qǐng),還采取了另一項(xiàng)舉措:授權(quán)PJM、管理得州電網(wǎng)的得州電力可靠性委員會(huì)(ERCOT),以及美國(guó)東南部主要電力供應(yīng)商杜克能源(Duke Energy),要求數(shù)據(jù)中心及其他高耗能企業(yè)啟動(dòng)備用發(fā)電機(jī)。

          此舉旨在確保風(fēng)暴期間居民用電供應(yīng)充足。這類設(shè)施通常僅自發(fā)自用,不會(huì)將電力回輸至電網(wǎng)。但賴特解釋稱,這些“工業(yè)柴油發(fā)電機(jī)”可“提供35吉瓦電力,足以滿足數(shù)百萬(wàn)戶家庭的用電需求”。

          我們是在美國(guó)東南部工作生活的電力領(lǐng)域?qū)W者。在冬季風(fēng)暴“弗恩”過(guò)后,我們認(rèn)為可以探索更為清潔的數(shù)據(jù)中心供電模式,同時(shí)助力社區(qū)做好冬季風(fēng)暴的防范、應(yīng)對(duì)與災(zāi)后恢復(fù)工作。

          數(shù)據(jù)中心消耗大量能源

          在賴特下達(dá)指令前,外界無(wú)法確定數(shù)據(jù)中心是否會(huì)在風(fēng)暴或其他緊急情況下削減電網(wǎng)用電量。

          這一問(wèn)題已迫在眉睫:數(shù)據(jù)中心為滿足生成式人工智能的用電需求,已推高PJM等負(fù)荷緊張電網(wǎng)的居民電價(jià)。

          數(shù)據(jù)中心的用電需求預(yù)計(jì)還將持續(xù)攀升。盡管估算數(shù)據(jù)差異較大,但勞倫斯伯克利國(guó)家實(shí)驗(yàn)室(Lawrence Berkeley National Lab)預(yù)計(jì),美國(guó)數(shù)據(jù)中心用電量占全國(guó)總發(fā)電量的比重將從2023年的4.4%飆升至2028年的6.7%至12%。PJM預(yù)計(jì),到2030年其電網(wǎng)峰值負(fù)荷將增長(zhǎng)32吉瓦,足以滿足3000萬(wàn)戶新增家庭的用電需求,而新增負(fù)荷幾乎全部流向新建數(shù)據(jù)中心。PJM的核心職責(zé)是統(tǒng)籌電力調(diào)度,并核算公眾及其他主體需承擔(dān)的供電成本。

          各方競(jìng)相新建數(shù)據(jù)中心并爭(zhēng)搶電力資源,這引發(fā)了公眾的強(qiáng)烈反對(duì),人們擔(dān)憂數(shù)據(jù)中心會(huì)推高家庭用電成本。此外還有多重隱憂:依賴燃?xì)獍l(fā)電機(jī)供電的高耗能數(shù)據(jù)中心可能損害空氣質(zhì)量、消耗水資源并加劇氣候惡化。不少數(shù)據(jù)中心的選址或規(guī)劃落地社區(qū),本就污染嚴(yán)重。

          地方條例、州公用事業(yè)委員會(huì)制定的法規(guī),以及聯(lián)邦層面的擬議法案,均試圖保護(hù)居民免受電價(jià)上漲影響,并要求數(shù)據(jù)中心承擔(dān)所需輸電和發(fā)電基礎(chǔ)設(shè)施的費(fèi)用。

          全天候不間斷供電?

          除持續(xù)加重電網(wǎng)負(fù)荷外,許多數(shù)據(jù)中心還向公用事業(yè)公司提出要求:為其提供可靠性達(dá)99.999%的電力供應(yīng)。

          但自20世紀(jì)70年代以來(lái),公用事業(yè)公司一直推行“需求響應(yīng)”計(jì)劃:大型用電企業(yè)同意在冬季風(fēng)暴“弗恩”等用電高峰期削減用電負(fù)荷,作為回報(bào),公用事業(yè)公司為參與該計(jì)劃的用戶提供電費(fèi)抵免等經(jīng)濟(jì)激勵(lì)。

          多年來(lái),需求響應(yīng)計(jì)劃幫助公用事業(yè)公司和電網(wǎng)運(yùn)營(yíng)商削減夏冬用電高峰負(fù)荷。智能電表的普及使居民用戶和小企業(yè)也能參與其中。將屋頂太陽(yáng)能、儲(chǔ)能電池、電動(dòng)汽車等分布式能源整合后,可作為“虛擬電廠”進(jìn)行調(diào)度。

          另一種解決方案

          數(shù)據(jù)中心與地方政府及公用事業(yè)公司的協(xié)議條款通常不對(duì)外公開(kāi),這使得外界難以判斷數(shù)據(jù)中心是否能夠或愿意臨時(shí)削減用電負(fù)荷。

          在某些情況下,為保障醫(yī)療記錄、銀行賬戶和航空訂票系統(tǒng)等關(guān)鍵數(shù)據(jù)系統(tǒng)的運(yùn)行,必須確保電力供應(yīng)不中斷。

          但隨著人工智能熱潮興起,數(shù)據(jù)中心用電需求激增,運(yùn)營(yíng)商也愈發(fā)愿意考慮參與需求響應(yīng)計(jì)劃。2025年8月,谷歌(Google)與印第安納密歇根電力公司(Indiana Michigan Power)、田納西河谷管理局(Tennessee Valley Authority)簽署新協(xié)議,提出“通過(guò)調(diào)控機(jī)器學(xué)習(xí)負(fù)載實(shí)現(xiàn)數(shù)據(jù)中心需求響應(yīng)”,在電網(wǎng)負(fù)荷緊張時(shí)將“非緊急計(jì)算任務(wù)”轉(zhuǎn)移至其他時(shí)段執(zhí)行。多家新興企業(yè)也應(yīng)運(yùn)而生,專為人工智能數(shù)據(jù)中心提供工作負(fù)載調(diào)配方案,甚至利用內(nèi)部電池儲(chǔ)能系統(tǒng),在電力短缺期間暫時(shí)切斷數(shù)據(jù)中心對(duì)公共電網(wǎng)的用電依賴。

          面向未來(lái)的靈活性

          一項(xiàng)研究發(fā)現(xiàn),若數(shù)據(jù)中心承諾靈活用電,那么無(wú)需新增發(fā)電和輸電設(shè)施,電網(wǎng)就能額外增加100吉瓦供電容量,足以滿足約7000萬(wàn)戶家庭的用電需求。

          另一案例中,研究人員展示了數(shù)據(jù)中心如何通過(guò)虛擬電廠投資場(chǎng)外發(fā)電項(xiàng)目來(lái)滿足自身用電需求。在企業(yè)和住宅安裝搭載儲(chǔ)能電池的太陽(yáng)能板,相較新建大型發(fā)電廠,能以更快速度、更低成本提升電力供應(yīng)。虛擬電廠還具備靈活調(diào)度的優(yōu)勢(shì),電網(wǎng)運(yùn)營(yíng)商可在用電高峰期調(diào)用電池儲(chǔ)能、調(diào)節(jié)溫控設(shè)備或關(guān)閉電器。這些項(xiàng)目還能為安裝光伏與儲(chǔ)能的建筑帶來(lái)益處。

          分布式能源發(fā)電與儲(chǔ)能、輸電線路防寒改造,以及可再生能源應(yīng)用,都是保障冬季風(fēng)暴期間及災(zāi)后電力供應(yīng)的關(guān)鍵舉措。

          這些舉措在田納西州納什維爾等地成效尤為突出。在冬季風(fēng)暴“弗恩”導(dǎo)致停電的高峰期,該市超23萬(wàn)戶用戶斷電,原因并非家庭用電量超出供電能力,而是輸電線路受損。

          人工智能的未來(lái)發(fā)展仍充滿不確定性。分析師警告稱,該行業(yè)可能存在投機(jī)泡沫:一旦行業(yè)需求陷入停滯,電力用戶最終可能要為那些為滿足虛增需求而建設(shè)的電網(wǎng)升級(jí)工程和新增發(fā)電設(shè)施買單。

          對(duì)于數(shù)據(jù)中心等大型用電企業(yè)而言,現(xiàn)場(chǎng)柴油發(fā)電機(jī)是緩解電網(wǎng)壓力的應(yīng)急方案,但這并非應(yīng)對(duì)冬季風(fēng)暴的長(zhǎng)久之策。若數(shù)據(jù)中心、公用事業(yè)公司、監(jiān)管機(jī)構(gòu)及電網(wǎng)運(yùn)營(yíng)商愿意考慮利用場(chǎng)外分布式能源滿足用電需求,那么相關(guān)投資不僅能抑制能源價(jià)格上漲、減少空氣污染和氣候影響,還能保障所有用戶在極端寒暑天氣下的電力持續(xù)供應(yīng)。(財(cái)富中文網(wǎng))

          尼基·盧克(Nikki Luke),田納西大學(xué)人文地理學(xué)助理教授與康納·哈里森(Conor Harrison),南卡羅來(lái)納大學(xué)經(jīng)濟(jì)地理學(xué)副教授

          本文依據(jù)知識(shí)共享許可協(xié)議(Creative Commons license)轉(zhuǎn)載自The Conversation,點(diǎn)擊查看原文。

          譯者:中慧言-王芳

          As Winter Storm Fern swept across the United States in late January 2026, bringing ice, snow and freezing temperatures, it left more than a million people without power, mostly in the Southeast.

          Scrambling to meet higher than average demand, PJM, the nonprofit company that operates the grid serving much of the mid-Atlantic U.S., asked for federal permission to generate more power, even if it caused high levels of air pollution from burning relatively dirty fuels.

          Energy Secretary Chris Wright agreed and took another step, too. He authorized PJM and ERCOT – the company that manages the Texas power grid – as well as Duke Energy, a major electricity supplier in the Southeast, to tell data centers and other large power-consuming businesses to turn on their backup generators.

          The goal was to make sure there was enough power available to serve customers as the storm hit. Generally, these facilities power themselves and do not send power back to the grid. But Wright explained that their “industrial diesel generators” could “generate 35 gigawatts of power, or enough electricity to power many millions of homes.”

          We are scholars of the electricity industry who live and work in the Southeast. In the wake of Winter Storm Fern, we see opportunities to power data centers with less pollution while helping communities prepare for, get through and recover from winter storms.

          Data centers use enormous quantities of energy

          Before Wright’s order, it was hard to say whether data centers would reduce the amount of electricity they take from the grid during storms or other emergencies.

          This is a pressing question, because data centers’ power demands to support generative artificial intelligence are already driving up electricity prices in congested grids like PJM’s.

          And data centers are expected to need only more power. Estimates vary widely, but the Lawrence Berkeley National Lab anticipates that the share of electricity production in the U.S. used by data centers could spike from 4.4% in 2023 to between 6.7% and 12% by 2028. PJM expects a peak load growth of 32 gigawatts by 2030 – enough power to supply 30 million new homes, but nearly all going to new data centers. PJM’s job is to coordinate that energy – and figure out how much the public, or others, should pay to supply it.

          The race to build new data centers and find the electricity to power them has sparked enormous public backlash about how data centers will inflate household energy costs. Other concerns are that power-hungry data centers fed by natural gas generators can hurt air quality, consume water and intensify climate damage. Many data centers are located, or proposed, in communities already burdened by high levels of pollution.

          Local ordinances, regulations created by state utility commissions and proposed federal laws have tried to protect ratepayers from price hikes and require data centers to pay for the transmission and generation infrastructure they need.

          Always-on connections?

          In addition to placing an increasing burden on the grid, many data centers have asked utility companies for power connections that are active 99.999% of the time.

          But since the 1970s, utilities have encouraged “demand response” programs, in which large power users agree to reduce their demand during peak times like Winter Storm Fern. In return, utilities offer financial incentives such as bill credits for participation.

          Over the years, demand response programs have helped utility companies and power grid managers lower electricity demand at peak times in summer and winter. The proliferation of smart meters allows residential customers and smaller businesses to participate in these efforts as well. When aggregated with rooftop solar, batteries and electric vehicles, these distributed energy resources can be dispatched as “virtual power plants.”

          A different approach

          The terms of data center agreements with local governments and utilities often aren’t available to the public. That makes it hard to determine whether data centers could or would temporarily reduce their power use.

          In some cases, uninterrupted access to power is necessary to maintain critical data systems, such as medical records, bank accounts and airline reservation systems.

          Yet, data center demand has spiked with the AI boom, and developers have increasingly been willing to consider demand response. In August 2025, Google announced new agreements with Indiana Michigan Power and the Tennessee Valley Authority to provide “data center demand response by targeting machine learning workloads,” shifting “non-urgent compute tasks” away from times when the grid is strained. Several new companies have also been founded specifically to help AI data centers shift workloads and even use in-house battery storage to temporarily move data centers’ power use off the grid during power shortages.

          Flexibility for the future

          One study has found that if data centers would commit to using power flexibly, an additional 100 gigawatts of capacity – the amount that would power around 70 million households – could be added to the grid without adding new generation and transmission.

          In another instance, researchers demonstrated how data centers could invest in offsite generation through virtual power plants to meet their generation needs. Installing solar panels with battery storage at businesses and homes can boost available electricity more quickly and cheaply than building a new full-size power plant. Virtual power plants also provide flexibility as grid operators can tap into batteries, shift thermostats or shut down appliances in periods of peak demand. These projects can also benefit the buildings where they are hosted.

          Distributed energy generation and storage, alongside winterizing power lines and using renewables, are key ways to help keep the lights on during and after winter storms.

          Those efforts can make a big difference in places like Nashville, Tennessee, where more than 230,000 customers were without power at the peak of outages during Fern, not because there wasn’t enough electricity for their homes but because their power lines were down.

          The future of AI is uncertain. Analysts caution that the AI industry may prove to be a speculative bubble: If demand flatlines, they say, electricity customers may end up paying for grid improvements and new generation built to meet needs that would not actually exist.

          Onsite diesel generators are an emergency solution for large users such as data centers to reduce strain on the grid. Yet, this is not a long-term solution to winter storms. Instead, if data centers, utilities, regulators and grid operators are willing to also consider offsite distributed energy to meet electricity demand, then their investments could help keep energy prices down, reduce air pollution and harm to the climate, and help everyone stay powered up during summer heat and winter cold.

          Nikki Luke, Assistant Professor of Human Geography, University of Tennessee and Conor Harrison, Associate Professor of Economic Geography, University of South Carolina

          This article is republished from The Conversation under a Creative Commons license. Read the original article.

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