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Performance and efficiency prediction of a hydrogen-oxygen engine for efficient hydrogen reconversion using a quasi-dimensional combustion model

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DataCite Commons2026-02-02 更新2026-05-03 收录
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https://tandf.figshare.com/articles/dataset/Performance_and_efficiency_prediction_of_a_hydrogen-oxygen_engine_for_efficient_hydrogen_reconversion_using_a_quasi-dimensional_combustion_model/30533235
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This study investigates a 2-stroke hydrogen-oxygen-steam combustion process optimized for stationary hydrogen reconversion, i.e. converting stored hydrogen from electrolysis back into electricity. A quasi-dimensional combustion model incorporating gas dynamics, thermodynamics, wall heat transfer and a fractal-based combustion scheme was developed to simulate the full in-cylinder cycle. The model was validated against experimental data from a 4-stroke hydrogen engine to confirm its predictive capability. Parametric studies show that optimized valve timing, injection, and dilution yield 54 kW per 1.3 L cylinder and 54.6% indicated efficiency − 44% higher efficiency and 105% greater power density than a comparable 4-stroke engine.
提供机构:
Taylor & Francis
创建时间:
2025-11-04
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