A holistic approach to assessing reliability in green hydrogen supply chains using mixed methods

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-10-23 DOI:10.1016/j.techfore.2024.123816
Sofía De-León Almaraz , Tchougoune Moustapha Mai , Iris Rocio Melendez , M.K. Loganathan , Catherine Azzaro-Pantel
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Abstract

Estimating the reliability of future energy supply chains is a vital yet complex task driven by environmental and energy security concerns in the context of the ongoing energy transition. This transition necessitates the integration of new technologies and systems into interconnected networks or supply chains. In this context, hydrogen plays a crucial role in the transition to green energy, as it is anticipated a surge in the establishment of “green” hydrogen supply chains (HSC), necessitating the assurance of reliability in meeting international roadmap targets. Technological reliability is typically evaluated by applying quantitative methods to current technologies. For future HSCs, the reliability assessment challenge is related to their prospective nature, with additional uncertainty due to the technologies' interdependencies. When stakeholders rely solely on technology readiness levels, essential aspects of the supply chain are not considered. This work introduces a novel methodology to assess the technological and organizational reliability of future HSCs, contributing to the literature on hydrogen reliability and strategic foresight. It also offers macro-level reliability projections for green HSCs by 2030, integrating input from energy experts and providing valuable insights for the scientific community, academia, and professionals. The proposed methodology's novelty lies in its ability to integrate various nodes of prospective HSCs. The study employs mixed methods, incorporating quantitative (multi-attribute utility theory) and qualitative approaches (horizon scanning). Variables such as capacity, flexibility, infrastructure vulnerability, and consequences of disruption are considered to quantify reliability, with twenty-four metrics included. Data collection employs the perspective of 2030 through a participatory study based on surveys and interviews, drawing insights from twenty-nine international experts associated with various HSCs-related technologies. The methodology is applied to a case study for a green HSC involving solar/wind energy, electrolysis, transportation, storage, and refueling stations. This paper presents the quantitative results, projecting moderate reliability for green HSCs by 2030. Solar HSCs have been considered slightly more reliable than wind HSCs. The interdependence of electrolysis technology and several aspects related to hydrogen transportation are perceived as vital risks affecting the reliability of green HSCs. Having a constant hydrogen supply is seen as a more significant challenge than HSC's response to unexpected interruptions. The research found specific disparities in expert opinions that enriched the data collection process with complementary viewpoints, benefiting from the former's heterogeneous profiles.
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使用混合方法评估绿色氢供应链可靠性的整体方法
在当前能源转型的背景下,对未来能源供应链的可靠性进行估算是一项重要而又复杂的任务,其驱动力来自对环境和能源安全的担忧。能源转型需要将新技术和新系统整合到相互连接的网络或供应链中。在此背景下,氢气在向绿色能源过渡的过程中发挥着至关重要的作用,因为预计 "绿色 "氢气供应链(HSC)的建立将会激增,这就需要确保可靠性,以实现国际路线图目标。技术可靠性通常是通过对当前技术应用定量方法来评估的。对于未来的氢供应链,可靠性评估挑战与其前瞻性有关,而技术之间的相互依存关系又增加了不确定性。当利益相关者仅仅依赖于技术就绪水平时,供应链的重要方面就没有得到考虑。这项工作引入了一种新方法来评估未来氢能供应链的技术和组织可靠性,为有关氢能可靠性和战略前瞻性的文献做出了贡献。它还提供了到 2030 年绿色氢能中心的宏观可靠性预测,整合了能源专家的意见,为科学界、学术界和专业人士提供了有价值的见解。拟议方法的新颖之处在于它能够整合未来 HSC 的各个节点。本研究采用混合方法,融合了定量方法(多属性效用理论)和定性方法(前景扫描)。在量化可靠性时,考虑了容量、灵活性、基础设施脆弱性和中断后果等变量,共包括 24 个指标。数据收集采用了 2030 年的视角,通过基于调查和访谈的参与式研究,汲取了 29 位与各种 HSCs 相关技术有关的国际专家的见解。该方法被应用于一项涉及太阳能/风能、电解、运输、存储和加气站的绿色碳氢化合物的案例研究。本文介绍了定量结果,预测到 2030 年绿色 HSC 的可靠性将处于中等水平。太阳能 HSC 的可靠性被认为略高于风能 HSC。电解技术的相互依存性以及与氢气运输相关的几个方面被认为是影响绿色氢能调蓄系统可靠性的重要风险。与氢能调控系统对意外中断的反应相比,持续的氢供应被认为是更大的挑战。研究发现了专家意见中的具体差异,这些差异通过补充观点丰富了数据收集过程,并从前者的异质性特征中获益。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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