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国际能源署(IEA):2026东亚地区能源与人工智能(AI)研究报告(中译版)(111页).pdf

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1、Energy and AIin East Asia The IEA examines the full spectrum of energy issues including oil,gas and coal supply and demand,renewable energy technologies,electricity markets,energy efficiency,access to energy,demand side management and much more.Through its work,the IEA advocates policies that will e

2、nhance the reliability,affordability and sustainability of energy in its 32 Member countries,13 Association countries and beyond.This publication and any map included herein are without prejudice to the status of or sovereignty over any territory,to the delimitation of international frontiers and bo

3、undaries and to the name of any territory,city or area.Source:IEA.International Energy Agency Website:www.iea.orgIEA Member countries:AustraliaAustriaBelgiumCanadaCzech Republic DenmarkEstoniaFinlandFranceGermanyGreeceHungaryIrelandItalyJapanKoreaLatviaLithuania Luxembourg Mexico NetherlandsNew Zeal

4、and NorwayPolandPortugalSlovak Republic SpainSweden Switzerland Republic of Trkiye United Kingdom United StatesThe European Commission also participates in the work of the IEAIEA Association countries:Argentina ChinaEgyptIndia Indonesia Kenya Morocco Senegal Singapore South Africa Thailand UkraineVi

5、et NamINTERNATIONAL ENERGYAGENCYEnergy and AI in East Asia Abstract PAGE|3 IEA.CC BY 4.0.Abstract This report was commissioned by the Korea Energy Economics Institute and was carried out jointly by the International Energy Agency(IEA)and the Korea Energy Economics Institute.The study has three objec

6、tives in the context of East Asia.First is to explore the possibilities presented by AI for the energy sector.Second is to examine the expected increase in electricity demand by data centres,and the impact on grid planning and operation.Third is to provide policy recommendations for embracing the op

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1. **AI与能源的双向关系**:AI可加速能源转型(如优化可再生能源并网、电网运维),但数据中心扩张将推高电力需求(2030年全球占比或达3%)。 2. **东亚核心地位**:东亚占全球半导体制造产能60%,数据中心电力需求预计翻倍;中国、日本、韩国均设定净零目标,但可再生能源发展进度不一。 3. **区域挑战**:缺乏跨国电网互联(如韩日电网频率差异)、供需地理失衡(如韩国首尔圈自给率仅67%)、能源进口依赖度高(韩日超80%)。 4. **政策建议**:需协同能源与科技部门,通过AI优化电网管理,并推动数据中心使用低碳电力(如韩国探索差异化并网电价)。
AI如何助力能源转型? 数据中心能耗有多高? 东亚面临哪些挑战?
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