Dynamic Bayesian network based approach for risk analysis of hydrogen generation unit leakage

Chang, Yuanjiang; Zhang, Changshuai; Shi, Jihao; Li, Jiayi; Zhang, Shenyan; Chen, Guo-Ming

doi:10.1016/j.ijhydene.2019.08.065

Cited by 58 publications

(10 citation statements)

References 33 publications

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“…• The possibility of data tampering, in which nefarious individuals try to alter the information gathered about the production, use, and storage of hydrogen. This could cause erroneous forecasts and interfere with the system's functionality [47]. • The manufacturing and storage systems for hydrogen are becoming more and more vulnerable to hackers.…”

Section: Discussion Comparison and Limitationsmentioning

confidence: 99%

Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System

Jamil,

Qayyum,

Iqbal

et al. 2023

Preprint

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The rapid adoption of hydrogen as an eco-friendly energy source has necessitated the development of intelligent power management systems capable of efficiently utilizing hydrogen resources. However, guaranteeing the security and integrity of hydrogen-related data has become a significant challenge. This paper proposes a pioneering approach to ensure secure hydrogen data analysis through the integration of blockchain technology, enhancing trust, transparency, and privacy in handling hydrogen-related information. By combining blockchain with intelligent power management systems, the efficient utilization of hydrogen resources becomes feasible. The utilization of smart contracts and distributed ledger technology facilitates secure data analysis, real-time monitoring, prediction, and optimization of hydrogen-based power systems. The effectiveness and performance of the proposed approach are demonstrated through comprehensive case studies and simulations. Notably, our prediction models, including ABiLSTM, ALSTM, and ARNN, consistently delivered high accuracy with MAE values of approximately 0.154, 0.151, and 0.151, respectively, enhancing the security and efficiency of hydrogen consumption forecasts. The blockchain-based solution offers enhanced security, integrity, and privacy for hydrogen data analysis, thus contributing to the advancement of clean and sustainable energy systems. Additionally, the research identifies existing challenges and outlines potential future directions for further enhancing the proposed system. This study adds to the growing body of research on blockchain applications in the energy sector, with a specific focus on secure hydrogen data analysis and intelligent power management systems.

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Section: Discussion Comparison and Limitationsmentioning

confidence: 99%

Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System

Jamil,

Qayyum,

Iqbal

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The states of the technical factors of the investigated ship are divided into three types: normal (N), partial failure (PF) and failure (F). According to the statistical law, the failure probability of ship equipment is in alignment with a negative exponential distribution (Chang et al [65]). Due to the time limit of the ship's pilotage operations process, the equipment's maintenance rate is not considered when determining the state transition probability, so only the failure rate of equipment is considered: λ 1 (N to F), λ 2 (N to PF), λ 3 (PF to F).…”

Section: Establishment Of Transition Probabilitymentioning

confidence: 99%

Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN

Guo

Jin

et al. 2023

Reliability Engineering & System Safety

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“…optical, acoustic, thermal, electrochemical) and several types of sensors exist (Najjar, 2019), there are currently no commercially available sensors that can detect hydrogen leakage at levels well below the threshold for hydrogen gas flammability which is required to characterize leakage in the open. Numerical studies also analyse hydrogen leakage through a safety perspective (Hajji et al, 2015;Parvini and Gharagouzlou, 2015;Chang et al, 2019;Qian et al, 2020) and small leaks of a buoyant gas will likely require new methods to accurately characterize actual leak rates (ppb level as opposed to ppm level).…”

Section: Hydrogen Leakage Ratesmentioning

confidence: 99%

Climate consequences of hydrogen leakage

Ocko

Hamburg

2022

Preprint

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Abstract. Hydrogen is quickly gaining attention as a “clean” fuel that can support a transition to a decarbonized energy system. Given the urgency to decarbonize global energy systems, governments and industry are moving ahead with efforts to increase hydrogen technologies, infrastructure, and applications at an unprecedented pace, including billions in national incentives and direct investments. While zero- and low-carbon hydrogen hold great promise to help solve some of the world’s most pressing energy challenges, hydrogen is also a short-lived indirect greenhouse gas whose warming impact is not well-characterized. There are multiple areas of uncertainty. To date, hydrogen’s warming effects have been primarily characterized using the GWP-100 metric—which is misleading for short-lived gases, such as hydrogen, as it obscures impacts on shorter timescales. Furthermore, hydrogen is a small molecule known to easily leak into the atmosphere; however, the total amount of leakage in current hydrogen systems remains unknown, with the analytical capacity to accurately measure leakage in situ largely unavailable. Therefore, the net climate benefit of a future hydrogen economy is unknown over the near to medium term. This paper explores the climate implications of hydrogen leakage over all timescales by assessing the change in cumulative radiative forcing from replacing fossil fuel systems with hydrogen applications and estimating temperature responses to leakage using a plausible range of hydrogen leak rates and the latest estimate of hydrogen’s radiative efficiency. We also consider the climate impacts from methane leakage when the hydrogen is produced via natural gas with CCUS (‘blue’ hydrogen) as opposed to renewables and water (‘green’ hydrogen); both are considered “clean”. We find that the climate consequences of hydrogen applications relative to their fossil fuel counterparts strongly depend on time horizon and leakage rate, with vastly different climate outcomes in the near- vs. long-term and for best- vs. worst-case leak rates. For example, worst-case hydrogen leak rates could yield a near-doubling in radiative forcing relative to fossil fuel counterparts in the first five years following the technology switch, but an 80 % decrease in radiative forcing over the following 100 years after deployment. On the other hand, best-case hydrogen leak rates could yield an 80 % decrease in radiative forcing in the first five years. Simple estimates of temperature responses to a 10 % hydrogen leakage rate (a high but plausible level) suggest a theoretical maximum contribution of around a quarter of a degree (C) in 2050 if hydrogen replaces the entire fossil fuel energy system, and at least a tenth of a degree (C) in 2050 if hydrogen accounts for more than half of final energy demand. Thus, a greater understanding of hydrogen’s warming impacts at different possible leakage rates is critical to inform where and how to deploy hydrogen effectively in the emerging decarbonized global economy.

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Dynamic Bayesian network based approach for risk analysis of hydrogen generation unit leakage

Cited by 58 publications

References 33 publications

Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System

Secure Hydrogen Production Analysis and Prediction Based on Blockchain Service Framework for Intelligent Power Management System

Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN

Climate consequences of hydrogen leakage

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