Division of Automation and Marine Energy - Administrative Units - Bridge of Knowledge

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Catalog Publications

Year 2025
Year 2024
  • Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
    Publication
    • V. N. N. Nhanh Van
    • W. Tarełko
    • S. Prabhakar
    • A. S. El-Shafay
    • W. Chen
    • P. Q. P. Nguyen
    • N. X. Phuong
    • T. A. Nguyen

    - ENERGY & FUELS - Year 2024

    Modern machine learning (ML) techniques are making inroads in every aspect of renewable energy for optimizationand model prediction. The effective utilization of ML techniques for the development and scaling up of renewable energy systemsneeds a high degree of accountability. However, most of the ML approaches currently in use are termed black box since their work isdifficult to comprehend. Explainable artificial intelligence (XAI)...

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  • Recent advances in hydrogen production from biomass waste with a focus on pyrolysis and gasification
    Publication
    • V. G. Nguyen
    • T. X. Nguyen-Thi
    • P. Q. Phong Nguyen
    • V. D. Tran
    • Ü. Ağbulut
    • L. H. Nguyen
    • D. Balasubramanian
    • W. Tarełko
    • S. A. Bandh
    • N. D. Khoa Pham

    - INTERNATIONAL JOURNAL OF HYDROGEN ENERGY - Year 2024

    This paper presents the results research on the optimal fuel compositions and the control parameters of the spark ignition engine fueled with syngas-biogas-hydrogen for the purpose of setting up a flexible electronic control unit for the engine working in a solar-biomass hybrid renewable energy system. In syngas-biogas-hydrogen mixture, the optimal content of hydrogen and biogas is 20% and 30%, respectively. Exceeding these thresholds,...

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