Wenjia Hou , Xingchen Pan , Yang Pu , Rui Ma , Asif Saleem
{"title":"利用人工智能制定能源战略:在向低碳经济转型过程中推进全球经济政策和氢气生产","authors":"Wenjia Hou , Xingchen Pan , Yang Pu , Rui Ma , Asif Saleem","doi":"10.1016/j.esr.2024.101568","DOIUrl":null,"url":null,"abstract":"<div><div>The need for non-conventional energy forms is another factor that has been pointing to the need for Fortran's s-ports for new forms of energy and indeed transportable energy that carriers such as Hydrogen. This investigation employs artificial intelligence to promote international economic policies and hydrogen manufacturing, defining hydrogen export competitiveness globally from 1991 to 2024. An overall index constructed from twenty-one benchmarks in four areas: financial and economic viability, political and regulatory position, industrial experience, and resource availability and prospects were created and further tested with experts' interviews and questionnaires. AI specifically played a very important role in data analysis and the index in assigning the appropriate weights and providing the right evaluation. This paper reveals the countries that have a competitive hydrogen industry and gives policy suggestions for improving the generation and exportation productivity of Hydrogen. Through this integrated project development approach, it is intended to spark the hydrogen economy and renewable energy, including environmentally sustainable uses. As a result, by employing AI to develop the energy strategy, this research provides practical recommendations for creating a low-carbon economy, filling the existing gap in the issue of limited sustainable energy sources and contributing to the development of the global economy. The purpose is to provide specific guidance for the effective stimulation of the hydrogen market in the context of global changes in the renewable energy area and sustainable development.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"56 ","pages":"Article 101568"},"PeriodicalIF":7.9000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Harnessing artificial intelligence for energy strategies: Advancing global economic policies and hydrogen production in the transition to a low-carbon economy\",\"authors\":\"Wenjia Hou , Xingchen Pan , Yang Pu , Rui Ma , Asif Saleem\",\"doi\":\"10.1016/j.esr.2024.101568\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The need for non-conventional energy forms is another factor that has been pointing to the need for Fortran's s-ports for new forms of energy and indeed transportable energy that carriers such as Hydrogen. This investigation employs artificial intelligence to promote international economic policies and hydrogen manufacturing, defining hydrogen export competitiveness globally from 1991 to 2024. An overall index constructed from twenty-one benchmarks in four areas: financial and economic viability, political and regulatory position, industrial experience, and resource availability and prospects were created and further tested with experts' interviews and questionnaires. AI specifically played a very important role in data analysis and the index in assigning the appropriate weights and providing the right evaluation. This paper reveals the countries that have a competitive hydrogen industry and gives policy suggestions for improving the generation and exportation productivity of Hydrogen. Through this integrated project development approach, it is intended to spark the hydrogen economy and renewable energy, including environmentally sustainable uses. As a result, by employing AI to develop the energy strategy, this research provides practical recommendations for creating a low-carbon economy, filling the existing gap in the issue of limited sustainable energy sources and contributing to the development of the global economy. The purpose is to provide specific guidance for the effective stimulation of the hydrogen market in the context of global changes in the renewable energy area and sustainable development.</div></div>\",\"PeriodicalId\":11546,\"journal\":{\"name\":\"Energy Strategy Reviews\",\"volume\":\"56 \",\"pages\":\"Article 101568\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Strategy Reviews\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211467X24002773\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Strategy Reviews","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211467X24002773","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
摘要
对非常规能源形式的需求是另一个因素,它表明需要 Fortran's s 端口来获取新形式的能源,以及氢气等可运输的能源载体。本研究利用人工智能促进国际经济政策和氢气制造,定义了 1991 年至 2024 年全球氢气出口竞争力。由财政和经济可行性、政治和监管地位、工业经验以及资源可用性和前景四个领域的 21 个基准构建了一个总体指数,并通过专家访谈和问卷调查进行了进一步测试。人工智能在数据分析和指数中发挥了非常重要的作用,为指数分配了适当的权重并提供了正确的评价。本文揭示了氢能产业具有竞争力的国家,并提出了提高氢能生产和出口生产力的政策建议。通过这种综合项目开发方法,旨在激发氢经济和可再生能源,包括环境可持续利用。因此,通过采用人工智能来制定能源战略,本研究为创建低碳经济提供了切实可行的建议,填补了在有限的可持续能源问题上的现有空白,并为全球经济的发展做出了贡献。目的是在全球可再生能源领域的变化和可持续发展的背景下,为有效刺激氢气市场提供具体指导。
Harnessing artificial intelligence for energy strategies: Advancing global economic policies and hydrogen production in the transition to a low-carbon economy
The need for non-conventional energy forms is another factor that has been pointing to the need for Fortran's s-ports for new forms of energy and indeed transportable energy that carriers such as Hydrogen. This investigation employs artificial intelligence to promote international economic policies and hydrogen manufacturing, defining hydrogen export competitiveness globally from 1991 to 2024. An overall index constructed from twenty-one benchmarks in four areas: financial and economic viability, political and regulatory position, industrial experience, and resource availability and prospects were created and further tested with experts' interviews and questionnaires. AI specifically played a very important role in data analysis and the index in assigning the appropriate weights and providing the right evaluation. This paper reveals the countries that have a competitive hydrogen industry and gives policy suggestions for improving the generation and exportation productivity of Hydrogen. Through this integrated project development approach, it is intended to spark the hydrogen economy and renewable energy, including environmentally sustainable uses. As a result, by employing AI to develop the energy strategy, this research provides practical recommendations for creating a low-carbon economy, filling the existing gap in the issue of limited sustainable energy sources and contributing to the development of the global economy. The purpose is to provide specific guidance for the effective stimulation of the hydrogen market in the context of global changes in the renewable energy area and sustainable development.
期刊介绍:
Energy Strategy Reviews is a gold open access journal that provides authoritative content on strategic decision-making and vision-sharing related to society''s energy needs.
Energy Strategy Reviews publishes:
• Analyses
• Methodologies
• Case Studies
• Reviews
And by invitation:
• Report Reviews
• Viewpoints