Analysis of operator human errors in hydrogen refuelling stations: Comparison between human rate assessment techniques

被引:60
|
作者
Castiglia, F. [1 ]
Giardina, M. [1 ]
机构
[1] Univ Palermo, Nucl Sect, Dept Energy, I-90128 Palermo, Italy
关键词
Hydrogen refuelling station; Storage unit; Risk analysis; Human errors; Fuzzy HEART; CREAM; RELIABILITY QUANTIFICATION TECHNIQUES; RISK ANALYSIS; VALIDATION; SAFETY; HEART; THERP; JHEDI; METHODOLOGY;
D O I
10.1016/j.ijhydene.2012.10.092
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The use of hydrogen as an energy carrier for road transport appears to be an optimal solution for the reduction of greenhouse gas emissions. Nevertheless, the development of this technology depends on the growth and diffusion of production, storage and refuelling infrastructures together with accurate risk analyses to appropriately design the safety and management systems used in these plants. Moreover, to improve safety standards, it is also important to focus attention on the estimation of hazards related to human factors, as this is one of the major causes leading to accidental events, especially in complex industrial technology. The paper reports a case study relevant to operator errors that occur during maintenance procedures on safety venting devices in refuelling station hydrogen storage systems performed using first- and second-generation Human Rate Assessment (HRA) techniques. HEART (Human Error Assessment and Reduction Technique) methodology, a first-generation HRA method, which was modified on the basis of the fuzzy set concept, was employed to evaluate the probability of erroneous actions. The obtained results have been compared with results obtained using CREAM (second-generation) methodology. The critical analyses of the obtained results have also allowed to provide procedural recommendations and suggestions regarding safety equipment and procedures which can be adopted to reduce the risk of accidents. Copyright (c) 2012, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1166 / 1176
页数:11
相关论文
共 50 条
  • [31] Quantitative assessment of the accuracy for three interpolation techniques in kinematic analysis of human movement
    Howarth, Samuel J.
    Callaghan, Jack P.
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2010, 13 (06) : 847 - 855
  • [32] A Comparison of Collection Techniques for Gene Expression Analysis of Human Oral Taste Tissue
    Archer, Nicholas Steven
    Liu, Dongli
    Shaw, Jan
    Hannan, Garry
    Duesing, Konsta
    Keast, Russell
    PLOS ONE, 2016, 11 (03):
  • [33] A comparison of spatial prediction techniques for an exploratory analysis of human cortical motor representations
    McShane, LM
    Meier, KL
    Wassermann, EM
    STATISTICS IN MEDICINE, 1997, 16 (12) : 1337 - 1355
  • [34] Comparison of methods for dependency determination between human failure events within human reliability analysis
    Jožef Stefan Institute, Reactor Engineering Division, Jamova cesta 39, 1000 Ljubljana, Slovenia
    Sci. Technol. Nucl. Install., 2008,
  • [35] A Comparison of Tissue Dissection Techniques for Diagnostic, Prognostic, and Theragnostic Analysis of Human Disease
    Walsh, Elise M.
    Halushka, Marc K.
    PATHOBIOLOGY, 2023, 90 (03) : 199 - 208
  • [36] HISTOLOGICAL DEMONSTRATION OF INITIAL LYMPHATICS IN HUMAN SKIN - COMPARISON BETWEEN DIFFERENT EXTENSION TECHNIQUES
    LUBACH, D
    STUWE, S
    NISSEN, S
    VONRAUTENFELD, DB
    ARCHIVES OF DERMATOLOGICAL RESEARCH, 1991, 283 (04) : 240 - 245
  • [37] Comparison between AI and human expert performance in acute pain assessment in sheep
    Feighelstein, Marcelo
    Luna, Stelio P.
    Silva, Nuno O.
    Trindade, Pedro E.
    Shimshoni, Ilan
    van der Linden, Dirk
    Zamansky, Anna
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [38] Dependence assessment in human reliability analysis based on evidence credibility decay model and IOWA operator
    Zheng, Xianglin
    Deng, Yong
    ANNALS OF NUCLEAR ENERGY, 2018, 112 : 673 - 684
  • [39] Assessment of human physchophysiological states based on methods for heart rate variability analysis
    A. N. Kalinichenko
    O. D. Yur’eva
    Pattern Recognition and Image Analysis, 2012, 22 (4) : 570 - 575
  • [40] Experimental Comparison of Extrapolation Techniques for 24-Hours Electromagnetic Fields Human Exposure Evaluation to UMTS and LTE Base Stations
    Bernieri, A.
    Betta, G.
    Cerro, G.
    Miele, G.
    Capriglione, D.
    2019 IEEE INTERNATIONAL SYMPOSIUM ON MEASUREMENTS & NETWORKING (M&N 2019), 2019,