Zhou, Y;
Chen, C;
Hou, Y;
Sun, C;
Nie, H;
Wei, S;
(2020)
Optimization Design on Ventilation Openings of Super Large Circular Coal Storage Dome.
In: Wang, Z and Zhu, Y and Wang, F and Wang, P and Shen, C and Liu, J, (eds.)
Environmental Science and Engineering.
(pp. pp. 1201-1209).
Springer: Harbin, China.
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Abstract
In order to reduce the pollution of the atmospheric environment, the super large coal storage warehouse has gradually become the main coal storage mode of power plants and other enterprises. However, due to the enclosed structural form, volatile coal dust and coal seam volatile combustible gas concentration is too high, which resulting in increased risk of ignition detonation. Therefore, this paper based on ventilation engineering theory and combined with CFD which focus on natural ventilation used in large diameter (D = 100 m) circular coal storage dome. The impact of opening modes, opening positions and opening size of super large circular coal storage dome on ventilated characteristics were also studied. The designed method of ventilated openings for super large circular coal storage dome is further proposed.
Type: | Proceedings paper |
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Title: | Optimization Design on Ventilation Openings of Super Large Circular Coal Storage Dome |
Event: | The 11th International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2019) |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-981-13-9520-8_124 |
Publisher version: | https://doi.org/10.1007/978-981-13-9520-8_124 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Large space circular coal storage dome; Natural ventilation performance; Opening mode; Computational fluid dynamics (CFD); Evaluation indicator |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/10098036 |
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