Technological barriers and research trends in fuel cell technologies: A citation network analysis

被引:81
|
作者
Ho, Jonathan C. [1 ]
Saw, Ewe-Chai [1 ]
Lu, Louis Y. Y. [1 ]
Liu, John S. [2 ]
机构
[1] Yuan Ze Univ, Coll Management, Tao Yuan, Taiwan
[2] Natl Taiwan Univ Sci & Technol, Grad Inst Technol Management, Taipei 706, Taiwan
关键词
Fuel cell; Technological barrier; Citation network analysis; Main path analysis; Growth curve analysis; POROUS CARBON PLATE; HIGH METHANOL CONCENTRATIONS; HIGH-POWER DENSITY; PLATINUM LOADING ELECTRODES; ANODE GAS LAYER; MASS-TRANSPORT; EMERGING TECHNOLOGIES; WATER TRANSPORT; STAINLESS-STEEL; CATALYST LAYER;
D O I
10.1016/j.techfore.2013.06.004
中图分类号
F [经济];
学科分类号
02 ;
摘要
Fuel cell technologies have long been recognized as one of the most promising future energy solutions. Nevertheless, major technological barriers hinder the potential realization of this clean energy source. Citation network analysis methodology is used here to identify major research trends, critical technological issues, and proposed resolutions to raise the effectiveness of investment of R&D resources in fuel cell technology development. The main path analyses identify two research streams for the Proton-Exchange Membrane Fuel Cell (PEMFC) and Direct Methanol Fuel Cell (DMFC) technologies. Analyses of cited publications show that most of the technological barriers for PEMFC have been addressed and that performance has reached an acceptable level. On the other hand, DMFC still suffers from methanol and water crossover problems. Multiple main path analysis identifies specific research groups working on technological problems in DMFC. The Direct Formic Acid Fuel Cell (DFAFC) and Direct Ethanol Fuel Cell (DEFC) have recently emerged to address the toxicity of methanol, while DMFC performance is being enhanced through research on porous carbon plates, water transportation, and methanol concentrations, and the research group at Micro DMFC is applying fuel cells in electronics devices. Despite considerable research on Solid Oxide Fuel Cell (SOFC), its research stream does not appear in the main paths, most likely because of a broad divergence in research subjects. Growth curve analysis forecasts that fuel cell research is in the growth stage and will enter maturity in 2018. Although emerging technologies show advantages in performance and cost, the findings presented here can raise the effectiveness of critical research project selection, thus increasing the likelihood of success. (C) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:66 / 79
页数:14
相关论文
共 37 条
  • [21] The Psychology of Men and Masculinities: Using Citation Network Analysis to Understand Research Domains, Collaborations, and Grant Competitiveness
    Parent, Mike C.
    Bradstreet, Tyler C.
    Harmon, Kevin A.
    McAndrew, Jay
    Comiskey, Allison
    Cook, Allison C. R.
    PSYCHOLOGY OF MEN & MASCULINITIES, 2018, 19 (04): : 512 - 530
  • [22] Empirical research on performance effects of supply chain resilience: systematic literature review, citation network analysis and future research directions
    Li, Chun Sheng
    Wong, Christina W. Y.
    Wong, Chee Yew
    Boon-itt, Sakun
    Miao, Xin
    INTERNATIONAL JOURNAL OF SHIPPING AND TRANSPORT LOGISTICS, 2023, 17 (1-2) : 80 - 106
  • [23] Identification of research trends in emerging technologies implementation on public services using text mining analysis
    Rodriguez Bolivar, Manuel Pedro
    Alcaide Munoz, Laura
    INFORMATION TECHNOLOGY & PEOPLE, 2022, 37 (08) : 43 - 65
  • [24] Discovering technological opportunities of cutting-edge technologies: A methodology based on literature analysis and artificial neural network
    Cammarano, Antonello
    Varriale, Vincenzo
    Michelino, Francesca
    Caputo, Mauro
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 209
  • [25] Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis
    Hausberg J.P.
    Liere-Netheler K.
    Packmohr S.
    Pakura S.
    Vogelsang K.
    Journal of Business Economics, 2019, 89 (8-9) : 931 - 963
  • [26] Research trends in text mining: Semantic network and main path analysis of selected journals
    Jung, Hoon
    Lee, Bong Gyou
    EXPERT SYSTEMS WITH APPLICATIONS, 2020, 162
  • [27] Simulation Analysis and Research of C70GB Fuel Cell Vehicle
    Chen, Ping
    Liang, Chen
    Li, Jiangqiu
    Jiang, Hongliang
    PROCEEDINGS OF SAE-CHINA CONGRESS 2016: SELECTED PAPERS, 2017, 418 : 111 - 122
  • [28] From conventional governance to e-democracy: Tracing the evolution of e-governance research trends using network analysis tools
    Bindu, N.
    Sankar, C. Prem
    Kumar, K. Satheesh
    GOVERNMENT INFORMATION QUARTERLY, 2019, 36 (03) : 385 - 399
  • [29] Research trends in functionalized and doped graphene catalysts for proton-exchange membrane fuel cells: A bibliometric analysis
    Ummah, Azza Arba Nurul
    Nadhifah, Farah Radhwa
    Sutarsis
    Arifin, Achmad
    Jamaluddin, Anif
    JOURNAL OF HAZARDOUS MATERIALS ADVANCES, 2025, 18
  • [30] Convolutional neural network analysis of radiography images for rapid water quantification in PEM fuel cell
    Pang, Yiheng
    Hao, Liang
    Wang, Yun
    APPLIED ENERGY, 2022, 321