Real-time gas explosion prediction at urban scale by GIS and graph neural network

Liquified gases are expected to play the significant roles in the context of urban energy transition. However, the accidental release of liquified gases induces a flammable vapor cloud, almost 10 times larger than that of non-liquified gases. Its ignition in a congested urban block will result in ev...

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Veröffentlicht in:	Applied energy 2025-01, Vol.377, p.124614, Article 124614
Hauptverfasser:	Shi, Jihao, Li, Junjie, Zhang, Haoran, Xie, Bin, Xie, Zonghao, Yu, Qing, Yan, Jinyue
Format:	Artikel
Sprache:	eng
Schlagworte:	data collection energy fluid mechanics GIS Graph neural network Liquified natural gas people prediction spatial data Urban energy transition Urban scale gas explosion vapors
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