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美国能源部:2024能源领域AI前沿研究方向报告(中译版)(70页).pdf

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1、April 2024ADVANCED RESEARCH DIRECTIONS ONAI FOR ENERGYReport on Winter 2023 WorkshopsClaus Daniel Argonne National LaboratoryJess C.Gehin Idaho National LaboratoryKirsten Laurin-Kovitz Argonne National LaboratoryBryan Morreale National Energy Technology LaboratoryRick Stevens Argonne National Labora

2、toryWilliam Tumas National Renewable Energy LaboratoryANL-23/69Cover design by Argonne National Laboratory.Cover imagery via Shutterstock.ABOUT ARGONNE NATIONAL LABORATORYArgonne is a U.S.Department of Energy laboratory managed by UChicago Argonne,LLC under contract DE-AC02-06CH11357.The Laboratorys

3、 main facility is outside Chicago,at 9700 South Cass Avenue,Argonne,Illinois 60439.For information about Argonne and its pioneering science and technology programs,see www.anl.gov.DOCUMENT AVAILABILITYOnline Access:U.S.Department of Energy(DOE)reports produced after 1991 and a growing number of pre-

4、1991 documents are available free at OSTI.GOV(www.osti.gov),a service of the US Dept.of Energys Office of Scientific and Technical Information.Reports not in digital format may be purchased by the public from the National Technical Information Service(NTIS):U.S.Department of Commerce National Techni

5、cal Information Service 5301 Shawnee Rd Alexandria,VA 22312 www.ntis.gov Phone:(800)553-NTIS(6847)or(703)605-6000 Fax:(703)605-6900 Email:ordersntis.govReports not in digital format are available to DOE and DOE contractors from the Office of Scientific and Technical Information(OSTI):U.S.Department

6、of Energy Office of Scientific and Technical Information P.O.Box 62 Oak Ridge,TN 37831-0062 www.osti.gov Phone:(865)576-8401 Fax:(865)576-5728 Email:reportsosti.govDisclaimer This report was prepared as an account of work sponsored by an agency of the United States Government.Neither the United Stat

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本文是关于美国能源部冬季2023年人工智能(AI)在能源领域的工作坊系列报告。报告指出,AI为能源领域提供了革命性的机遇,可以在核能、电力网格、碳管理、能源储存和能源材料等领域实现重大突破。美国要想在2050年前实现清洁能源和电网基础设施的转型,需要投资数万亿美元。AI的应用可以大幅降低设计、许可、部署、运营和维护能源基础设施的成本。例如,商业电力plant设计和许可可能需要数年时间,占新能源部署市场时间的50%。报告强调了实现这些目标所面临的挑战,并展望了未来十年内可能取得的进展。
"AI在能源领域的未来研究方向是什么?" "如何利用AI技术降低新能源基础设施的成本?" "AI技术在电力 grid 和能源储存领域有哪些潜在突破?"
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