基于元启发式优化的绿色氢供应链的挑战与机遇

IF 4.8 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Design and Engineering Pub Date : 2023-05-31 DOI:10.1093/jcde/qwad043
Saman A. Gorji
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引用次数: 2

摘要

本文对绿色氢供应链进行了全面分析,包括生产,储存,运输和消费,重点是元启发式优化的应用。强调了与每个阶段相关的挑战,并讨论了解决这些挑战的元启发式优化方法的潜力。绿色制氢的主要方法,通过可再生能源水电解,概述了其优化的重要性。各种存储方法,如压缩气体、液态氢和基于材料的存储,重点是需要优化以提高安全性、容量和性能。探讨了不同的运输方式,包括管道、卡车和船舶,并确定了影响不同地区运输方式选择的因素。各种氢消耗方法及其相关挑战,如燃料电池性能优化、氢基加热系统设计和能量转换技术选择,也进行了讨论。本文进一步研究了该领域问题的多目标优化方法。元启发式优化技术的巨大潜力被强调为解决这些挑战和提高整体效率和可持续性的关键,以及在这个快速发展的领域的未来趋势。
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Challenges and opportunities in green hydrogen supply chain through metaheuristic optimization
A comprehensive analysis of the green hydrogen supply chain is presented in this paper, encompassing production, storage, transportation, and consumption, with a focus on the application of metaheuristic optimisation. The challenges associated with each stage are highlighted, and the potential of metaheuristic optimisation methods to address these challenges is discussed. The primary method of green hydrogen production, water electrolysis through renewable energy, is outlined along with the importance of its optimisation. Various storage methods, such as compressed gas, liquid hydrogen, and material-based storage, are covered with an emphasis on the need for optimisation to improve safety, capacity, and performance. Different transportation options, including pipelines, trucks, and ships, are explored, and factors influencing the choice of transportation methods in different regions are identified. Various hydrogen consumption methods and their associated challenges, such as fuel cell performance optimisation, hydrogen-based heating systems design, and energy conversion technology choice, are also discussed. The paper further investigates multi-objective approaches for the optimisation of problems in this domain. The significant potential of metaheuristic optimisation techniques is highlighted as a key to addressing these challenges and improving overall efficiency and sustainability with respect to future trends in this rapidly advancing area.
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来源期刊
Journal of Computational Design and Engineering
Journal of Computational Design and Engineering Computer Science-Human-Computer Interaction
CiteScore
7.70
自引率
20.40%
发文量
125
期刊介绍: Journal of Computational Design and Engineering is an international journal that aims to provide academia and industry with a venue for rapid publication of research papers reporting innovative computational methods and applications to achieve a major breakthrough, practical improvements, and bold new research directions within a wide range of design and engineering: • Theory and its progress in computational advancement for design and engineering • Development of computational framework to support large scale design and engineering • Interaction issues among human, designed artifacts, and systems • Knowledge-intensive technologies for intelligent and sustainable systems • Emerging technology and convergence of technology fields presented with convincing design examples • Educational issues for academia, practitioners, and future generation • Proposal on new research directions as well as survey and retrospectives on mature field.
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