可持续的可再生能源供应链与当前的技术改造:伊朗的宏观能源进步政策

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Hamed Fazlollahtabar
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引用次数: 0

摘要

气候变化是当今全球面临的一项挑战,由于其对社会各部门的广泛影响而备受关注。因此,国家和社区应考虑使用可再生能源。此外,化石燃料的局限性和温室气体排放带来的问题,使得可再生能源变得越来越重要。可持续能源是指在不影响后代满足其需求的情况下,持续供应能源以满足当今的需求。可持续能源技术包括水力发电、太阳能、风能、地热能、合成光电中心和波浪能等可再生能源,以及旨在提高能源效率的技术。因此,本文讨论了伊朗可再生能源供应链的发展和绩效。本文提出并研究了一个战略模型,该模型涵盖了供应链配置中可持续可再生能源的各个方面,并结合了机器学习方法进行量化。新颖之处在于整合了机器学习和战略计划,以处理可再生能源供应链中的可持续性指标。这项研究还为政府、研究人员和利益相关者提供了启动可再生能源利用的管理见解,以及克服其发展障碍的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable renewable energy supply chain with current technological adaptation: Macro energy progress policy in Iran

Climate change is a global challenge today that has been highly considered due to the wide impacts on different sectors of a society. That is why the use of renewable energy for countries and communities should be considered. In addition, the limitation of fossil fuels and the problems incurred by greenhouse gas emissions have made it increasingly important to make renewable energy more attractive. Sustainable energy means continuous supply of energy for today's needs without compromising the ability of future generations to meet their needs. Sustainable energy technologies include renewable energy sources such as hydroelectric power, solar energy, wind energy, geothermal energy, synthetic photo center and wave energy, as well as technologies designed to improve energy efficiency. Thus, this article discusses the development and performance of renewable supply chain energy in Iran. A strategic model is proposed and investigated to cover various aspects of sustainable renewable energy within a supply chain configuration integrated with machine learning method for quantification purpose. The novelty is on integrating machine learning and strategic plan to handle sustainability indicators within a renewable energy supply chain. The study also provides managerial insights to governments, researchers and stakeholders for the initiation of renewable energy use and suggestions for overcoming the barriers to its developments.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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