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  • Jahn, W., Sazunic, F., Sing-Long, C., Towards real-time fire data synthesis using numerical simulations, Journal of Fire Sciences, in press, 2021, doi:10.1177/0734904121993449

  • Di Capua, M., Jahn, W., Performance assessment of thermoelectric self-cooling systems for electronic devices, Applied Thermal Engineering, Vol. 193, 2021,

  • Montero, F., Lamba, R,. Ortega, A., Jahn, W., Guzmán, A., A novel 24-h day-night operational solar thermoelectric generator using phase change materials, Journal of Cleaner Production, Vol. 296, 2021, /

  • Xi, X., Torero, J., Jahn, W., Data driven forecast of droplet combustion, Proceedings of the Combustion Institute, Vol. 38, 2021, doi:10.1016/j.proci.2020.05.012

  • Montoya, D., Jahn, W., Rivera, JD., Using a Porous Medium Model to Simulate the Air Flow Through Fog Water Collectors, Journal of Porous Media, Vol. 23, Issue 6, 2020, doi:10.1615/JPorMedia.2020029819

  • Wojciech Wegrzyński, Grzegorz Krajewski, Piotr Tofiło, Jahn W., Aleksander Król, Małgorzata Król, 3D Mapping of the Sprinkler Activation Time, Energies, online, 2020, doi:10.3390/en13061450

  • Mariño, O., Muñoz, F., Jahn, W., Soot production modelling for operational computational fluid dynamics fire simulations, Journal of Fire Sciences, 38, 2020, DOI: 10.1177/0734904120905579

  • Figueroa, S., Rivera, J., Jahn, W., Influence of Permeability on the Rate of Fire Spread over Natural and Artificial Pinus radiata Forest Litter, Fire Technology, 55(3), (2019). DOI: 10.1007/s10694-019-00824-w

  • Jiajie, Z., Jahn, W., Rein, G., Computer simulation of sunlight concentration due to façade shape: application to the 2013 Death Ray at Fenchurch Street, London, Journal of Building Performance Simulation, 12, (2019). DOI: 10.1080/19401493.2018.1538389

  • Ríos, O., Jahn, W., Pastor, E., Valero, M., Planas, E., Interpolation framework to speed up near-surface wind simulations for data-driven wildfire applicationsInternational Journal of Wildland Fire, 27(4) (2018).  DOI: 10.1071/WF17027

  • Jahn, W., Using suppression and detection devices to steer CFD fire forecast simulations, Fire Safety Journal, 91 (2017). DOI:10.1007/s10694-016-0631-1

  • Fehrmann, S., Jahn, W., Rivera, J., Permeability Comparison of Natural and Artificial Pinus Radiata Forest Litters, Fire Technology, 53 (2016). DOI:10.1007/s10694-016-0631-1

  • Cowlard, A., Jahn, W., Abecassis-Empis, C., Rein, G., Torero, J.L., Sensor Assisted Fire Fighting, Fire Technology, 35 (2009). DOI:10.1007/s10694-008-0069-1

Work in progress

  • Data driven CFD fire simulations using common detection and suppression devices, under the Fondecyt project 11150757.

  • Coarse grid fire CFD simulations, under the Fondecyt project 11150757.

  • Using CFD simulations to determine the optimal location of fog collectors.

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