Optimization of Ventilation and Alarm Setting During the Process of Ammonia Leak in Refrigeration Machinery Room Based on Numerical Simulation

DOI

10.2991/jrarc.2017.7.1.5How to use a DOI?

Keywords

Numerical simulation; Ammonia leakage; Refrigeration machinery room; Ventilation optimization

Abstract

In order to optimize the ventilation effect of ammonia leakage in the refrigeration machinery room, a food processing enterprise is selected as the subject investigated. The velocity and concentration field distribution during the process of ammonia leakage are discussed through simulation of refrigeration machinery room using CFD software. The ventilation system of the room is optimized in three aspects which are named air distribution, ventilation volume and discharge outlet. The influence of the ammonia alarm system through ventilation is also analyzed. The results show that it will be better to set the discharge outlet at the top of the plant than at the side of the wall, and the smaller of the distance between the air outlet and the ammonia gathering area, the better of the effect of ventilation will be. The air flow can be improved and the vortex flow can be reduced if the ventilation volume, the number of air vents and the exhaust velocity are reasonably arranged. Not only the function of the alarm could be ensured, but also the scope of the detection area could be enlarged if the detectors are set on the ceiling of the refrigeration units or the ammonia storage vessel.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Dongliang Liu
AU  - Liang Wang
AU  - Tong Wang
AU  - Yan Liu
AU  - Ya Chen
PY  - 2017
DA  - 2017/04/03
TI  - Optimization of Ventilation and Alarm Setting During the Process of Ammonia Leak in Refrigeration Machinery Room Based on Numerical Simulation
JO  - Journal of Risk Analysis and Crisis Response
SP  - 37
EP  - 44
VL  - 7
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2017.7.1.5
DO  - 10.2991/jrarc.2017.7.1.5
ID  - Liu2017
ER  -