Numerical investigation on the leakage and diffusion characteristics of hydrogen-blended natural gas in a domestic kitchen
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DOI: 10.1016/j.renene.2022.03.038
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References listed on IDEAS
- Gerboni, R. & Salvador, E., 2009. "Hydrogen transportation systems: Elements of risk analysis," Energy, Elsevier, vol. 34(12), pages 2223-2229.
- Ishaq, H. & Dincer, I., 2021. "Comparative assessment of renewable energy-based hydrogen production methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
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- Bi, Yubo & Wu, Qiulan & Wang, Shilu & Shi, Jihao & Cong, Haiyong & Ye, Lili & Gao, Wei & Bi, Mingshu, 2023. "Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning," Energy, Elsevier, vol. 284(C).
- Yue Su & Jingfa Li & Wangyi Guo & Yanlin Zhao & Jianli Li & Jie Zhao & Yusheng Wang, 2022. "Prediction of Mixing Uniformity of Hydrogen Injection inNatural Gas Pipeline Based on a Deep Learning Model," Energies, MDPI, vol. 15(22), pages 1-19, November.
- Lyu, Shan & Huang, Xiaomei & Peng, Shini & Sun, Mengxiao & Qi, Qi & Aimaieraili, Dulikunjiang, 2024. "A novel method for analyzing the leakage and diffusion of hydrogen: First arrival time distribution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
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Keywords
Hydrogen-blended natural gas; Leakage and diffusion; Domestic gas safety; Evolution law; Numerical simulation;All these keywords.
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