基于大数据与人工智能背景下的统计建模——以氢能产业为例
Journal: Economics DOI: 10.12238/ej.v7i12.2107
Abstract
本文旨在深入剖析在人工智能和大数据背景下,氢能的生产、储存、运输、使用及后续处理等关键环节的影响,并探讨氢能和光伏发电对经济和环境的积极效应。通过运用生命周期评价(LCA)方法,本文建立了早期氢相关数据小模型和应用人工智能大数据后的详细数据模型,以比较不同制氢方式的环境影响和经济效益。同时,本文还深入探讨了氢能在生产、储存、运输、使用及后续处理等环节中人工智能技术的应用,以及其对氢能产业的巨大助力。以南京工程学院为例,研究了光伏发电的数据和经济效益。此外,本文对未来氢能产业的发展趋势进行了分析。
Keywords
氢能,人工智能;大数据;生命周期评价;未来趋势
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[1] 《新能源汽车产业发展规划(2021-2035年)》http://www.gov.cn/zhengce/2021-11/17/content_5650668.htm).
[2] Japan's Basic Hydrogen Strategy(Revised)https://www.meti.go.jp/english/press/2019/0613_002.html).
[3] Germany's National Hydrogen Strategy - https://www. bmwi.de/Redaktion/EN/Dossier/hydrogen-strategy.html).
[4] (German Federal Ministry for Economic Affairs and Energy(BMWi)-https://www.bmwi.de/Navigation/EN/Home/home.html).
[5] U.S.Department of Energy's Hydrogen and Fuel Cell TechnologiesOffice-https://www.energy.gov/eere/fuelcells/hydrogen-and-fuel-cell-technologies-office).
[6] 国际能源署.全球氢能回顾 2022.IEA(IEA).
[7] IRENA.绿色氢能政策.IRENA(IRENA).
[8] KPMG.国家氢能战略.KPMG(KPMG).
[9] Columbia University SIPA.中国的氢能战略:国家与区域计划.Columbia University(CGEP).
[10] Mishra,M.,& Zio,E.(2023).AI and Digital Twins Technolo gies for Hydrogen(H2) Production Power Plants.Energies.Retri eved from MDPI(MDPI).
[11] EY.(2023).Hydrogen and artificial intelligence to play‘critical role’in scaling up renewables.PV Tech. Retriev ed from PV Tech(PV Tech).
[12] International Energy Agency(IEA).Global Hydrogen Re view.Availableat:https://www.iea.org/reports/global-hydrogenreview-2022.
[13] Elgowainy,A.Review of Emerging Hydrogen Production Technologies.Hydrogen Energy Program.
[14] Valente,A.,Iribarren,D.,& Dufour,J.Life Cycle Assessme nt of Hydrogen Energy Systems:A Review.Environmental Scien ce & Technology.
[15] Frontiers.Life-cycle assessment of hydrogen utiliza tion in power generation: A systematic review of technologi cal and methodological choices.
[16] 李跃娟,华子清,冯倜龙,等.基于GREET软件的不同能源城市客车的燃料全生命周期环境影响评估.客车技术与研究,2022(01):52-55.
[2] Japan's Basic Hydrogen Strategy(Revised)https://www.meti.go.jp/english/press/2019/0613_002.html).
[3] Germany's National Hydrogen Strategy - https://www. bmwi.de/Redaktion/EN/Dossier/hydrogen-strategy.html).
[4] (German Federal Ministry for Economic Affairs and Energy(BMWi)-https://www.bmwi.de/Navigation/EN/Home/home.html).
[5] U.S.Department of Energy's Hydrogen and Fuel Cell TechnologiesOffice-https://www.energy.gov/eere/fuelcells/hydrogen-and-fuel-cell-technologies-office).
[6] 国际能源署.全球氢能回顾 2022.IEA(IEA).
[7] IRENA.绿色氢能政策.IRENA(IRENA).
[8] KPMG.国家氢能战略.KPMG(KPMG).
[9] Columbia University SIPA.中国的氢能战略:国家与区域计划.Columbia University(CGEP).
[10] Mishra,M.,& Zio,E.(2023).AI and Digital Twins Technolo gies for Hydrogen(H2) Production Power Plants.Energies.Retri eved from MDPI(MDPI).
[11] EY.(2023).Hydrogen and artificial intelligence to play‘critical role’in scaling up renewables.PV Tech. Retriev ed from PV Tech(PV Tech).
[12] International Energy Agency(IEA).Global Hydrogen Re view.Availableat:https://www.iea.org/reports/global-hydrogenreview-2022.
[13] Elgowainy,A.Review of Emerging Hydrogen Production Technologies.Hydrogen Energy Program.
[14] Valente,A.,Iribarren,D.,& Dufour,J.Life Cycle Assessme nt of Hydrogen Energy Systems:A Review.Environmental Scien ce & Technology.
[15] Frontiers.Life-cycle assessment of hydrogen utiliza tion in power generation: A systematic review of technologi cal and methodological choices.
[16] 李跃娟,华子清,冯倜龙,等.基于GREET软件的不同能源城市客车的燃料全生命周期环境影响评估.客车技术与研究,2022(01):52-55.
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