领航核复兴 经济可行性、零排放以及第四代反应堆和 SMR 与人工智能集成的核能未来

Bahman Zohuri, Farhang Mossavar-Rahmani
{"title":"领航核复兴 经济可行性、零排放以及第四代反应堆和 SMR 与人工智能集成的核能未来","authors":"Bahman Zohuri, Farhang Mossavar-Rahmani","doi":"10.47363/jesmr/2024(5)245","DOIUrl":null,"url":null,"abstract":"As global efforts intensify to combat climate change and achieve sustainable energy goals, nuclear power is re-emerging as a vital component of the energy mix. This article explores modern nuclear technologies' economic and environmental potential, focusing on the nuclear fuel cycle, Generation IV reactors, Small Modular Reactors (SMRs), and the transformative role of Artificial Intelligence (AI). The nuclear fuel cycle, encompassing fuel production, utilization, and disposal, is evolving to become more efficient and sustainable, reducing costs and environmental impacts. Generation IV reactors and SMRs represent significant advancements, offering enhanced safety, efficiency, and flexibility, making nuclear power more accessible and adaptable. AI integration revolutionizes nuclear operations by optimizing performance, predictive maintenance, and safety monitoring. These technologies collectively enhance nuclear power's economic viability and environmental benefits, positioning it as a cornerstone of global zero-emission strategies. The return on involvement in nuclear energy is substantial, driven by economic growth, energy security, and technological advancements. Continued investment and innovation in these areas are essential for realizing the full potential of nuclear energy in a sustainable and carbon-neutral future. This article underscores the importance of nuclear power in achieving global climate objectives and fostering a sustainable energy landscape.","PeriodicalId":309331,"journal":{"name":"Journal of Economics & Management Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Navigating the Nuclear Renaissance Economic Viability, Zero Emissions, and the Future of Nuclear Energy with Generation IV Reactors and SMRs with Artificial Intelligence Integration\",\"authors\":\"Bahman Zohuri, Farhang Mossavar-Rahmani\",\"doi\":\"10.47363/jesmr/2024(5)245\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As global efforts intensify to combat climate change and achieve sustainable energy goals, nuclear power is re-emerging as a vital component of the energy mix. This article explores modern nuclear technologies' economic and environmental potential, focusing on the nuclear fuel cycle, Generation IV reactors, Small Modular Reactors (SMRs), and the transformative role of Artificial Intelligence (AI). The nuclear fuel cycle, encompassing fuel production, utilization, and disposal, is evolving to become more efficient and sustainable, reducing costs and environmental impacts. Generation IV reactors and SMRs represent significant advancements, offering enhanced safety, efficiency, and flexibility, making nuclear power more accessible and adaptable. AI integration revolutionizes nuclear operations by optimizing performance, predictive maintenance, and safety monitoring. These technologies collectively enhance nuclear power's economic viability and environmental benefits, positioning it as a cornerstone of global zero-emission strategies. The return on involvement in nuclear energy is substantial, driven by economic growth, energy security, and technological advancements. Continued investment and innovation in these areas are essential for realizing the full potential of nuclear energy in a sustainable and carbon-neutral future. This article underscores the importance of nuclear power in achieving global climate objectives and fostering a sustainable energy landscape.\",\"PeriodicalId\":309331,\"journal\":{\"name\":\"Journal of Economics & Management Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economics & Management Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47363/jesmr/2024(5)245\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economics & Management Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47363/jesmr/2024(5)245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着全球应对气候变化和实现可持续能源目标的努力不断加强,核能正重新成为能源组合的重要组成部分。本文探讨了现代核技术的经济和环境潜力,重点是核燃料循环、第四代反应堆、小型模块化反应堆(SMR)以及人工智能(AI)的变革作用。核燃料循环包括燃料的生产、利用和处置,它正朝着更高效、更可持续的方向发展,以降低成本和环境影响。第四代反应堆和 SMR 代表着重大进步,提供了更高的安全性、效率和灵活性,使核能更容易获得和适应。人工智能集成通过优化性能、预测性维护和安全监控,彻底改变了核电运营。这些技术共同提高了核能的经济可行性和环境效益,使其成为全球零排放战略的基石。在经济增长、能源安全和技术进步的推动下,参与核能的回报是可观的。要在可持续和碳中和的未来充分发挥核能的潜力,就必须在这些领域进行持续投资和创新。本文强调了核能在实现全球气候目标和促进可持续能源格局方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Navigating the Nuclear Renaissance Economic Viability, Zero Emissions, and the Future of Nuclear Energy with Generation IV Reactors and SMRs with Artificial Intelligence Integration
As global efforts intensify to combat climate change and achieve sustainable energy goals, nuclear power is re-emerging as a vital component of the energy mix. This article explores modern nuclear technologies' economic and environmental potential, focusing on the nuclear fuel cycle, Generation IV reactors, Small Modular Reactors (SMRs), and the transformative role of Artificial Intelligence (AI). The nuclear fuel cycle, encompassing fuel production, utilization, and disposal, is evolving to become more efficient and sustainable, reducing costs and environmental impacts. Generation IV reactors and SMRs represent significant advancements, offering enhanced safety, efficiency, and flexibility, making nuclear power more accessible and adaptable. AI integration revolutionizes nuclear operations by optimizing performance, predictive maintenance, and safety monitoring. These technologies collectively enhance nuclear power's economic viability and environmental benefits, positioning it as a cornerstone of global zero-emission strategies. The return on involvement in nuclear energy is substantial, driven by economic growth, energy security, and technological advancements. Continued investment and innovation in these areas are essential for realizing the full potential of nuclear energy in a sustainable and carbon-neutral future. This article underscores the importance of nuclear power in achieving global climate objectives and fostering a sustainable energy landscape.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Navigating the Nuclear Renaissance Economic Viability, Zero Emissions, and the Future of Nuclear Energy with Generation IV Reactors and SMRs with Artificial Intelligence Integration Formal and Substantive Coherence of Accounting Items Used for Management Purposes: Option or Necessity? To Establish the Effect of Organizational Citizenship Behavior on Employee Performance: A Moderated Mediation Model of Talent Management and Employee Commitment Public Satisfaction with Land Acquisition at Komodo Airport, Labuan Bajo, West Manggarai: Case Study Artificial Intelligence at Work: Transforming Industries and Redefining the Workforce Landscape
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1