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氢能4.0:可再生氢能发电厂的信息物理系统

Hydrogen 4.0: A Cyber-Physical System for Renewable Hydrogen Energy Plants.

作者信息

Yavari Ali, Harrison Christopher J, Gorji Saman A, Shafiei Mahnaz

机构信息

School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia.

Hydrogen 4.0 Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia.

出版信息

Sensors (Basel). 2024 May 20;24(10):3239. doi: 10.3390/s24103239.

DOI:10.3390/s24103239
PMID:38794094
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11125211/
Abstract

The demand for green hydrogen as an energy carrier is projected to exceed 350 million tons per year by 2050, driven by the need for sustainable distribution and storage of energy generated from sources. Despite its potential, hydrogen production currently faces challenges related to cost efficiency, compliance, monitoring, and safety. This work proposes Hydrogen 4.0, a cyber-physical approach that leverages Industry 4.0 technologies-including smart sensing, analytics, and the Internet of Things (IoT)-to address these issues in hydrogen energy plants. Such an approach has the potential to enhance efficiency, safety, and compliance through real-time data analysis, predictive maintenance, and optimised resource allocation, ultimately facilitating the adoption of renewable green hydrogen. The following sections break down conventional hydrogen plants into functional blocks and discusses how Industry 4.0 technologies can be applied to each segment. The components, benefits, and application scenarios of Hydrogen 4.0 are discussed while how digitalisation technologies can contribute to the successful integration of sustainable energy solutions in the global energy sector is also addressed.

摘要

预计到2050年,作为一种能源载体的绿色氢的需求量将超过每年3.5亿吨,这是由对可持续分配和存储来自各种能源的需求所驱动的。尽管氢具有潜力,但目前制氢面临着与成本效益、合规性、监测和安全相关的挑战。这项工作提出了氢4.0,这是一种网络物理方法,利用工业4.0技术,包括智能传感、分析和物联网(IoT),来解决氢能工厂中的这些问题。这种方法有潜力通过实时数据分析、预测性维护和优化资源分配来提高效率、安全性和合规性,最终促进可再生绿色氢的采用。以下各节将传统制氢厂分解为功能模块,并讨论工业4.0技术如何应用于每个部分。同时讨论了氢4.0的组件、优势和应用场景,还探讨了数字化技术如何有助于可持续能源解决方案在全球能源领域的成功整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/11125211/edbc4850f9e3/sensors-24-03239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/11125211/9a4d114d73a3/sensors-24-03239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/11125211/ac78a09a48c0/sensors-24-03239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/11125211/edbc4850f9e3/sensors-24-03239-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/11125211/9a4d114d73a3/sensors-24-03239-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/11125211/ac78a09a48c0/sensors-24-03239-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/11125211/edbc4850f9e3/sensors-24-03239-g003.jpg

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