A study on a real-time leak detection method for pressurized liquid refrigerant pipeline based on pressure and flow rate. (25th February 2016)
- Record Type:
- Journal Article
- Title:
- A study on a real-time leak detection method for pressurized liquid refrigerant pipeline based on pressure and flow rate. (25th February 2016)
- Main Title:
- A study on a real-time leak detection method for pressurized liquid refrigerant pipeline based on pressure and flow rate
- Authors:
- Tian, Shen
Du, Juanli
Shao, Shuangquan
Xu, Hongbo
Tian, Changqing - Abstract:
- Highlights: A real-time leak detection method is developed for ammonia pipeline in cold storage. A locating algorithm based on pressure difference profile is provided. This method is validated by R22 and ammonia leak experiments. The minimum detectable leak ratio is 1% for R22 and 4% for ammonia. The location estimating errors are −27% ~ 17% for R22 and −27% ~ 27% for ammonia. Graphical Abstract: Abstract: Leakage from pressurized liquid ammonia pipeline has been a serious problem in large commercial cold storages because it might release large amount of liquid ammonia and without safety supervision in daily operations. The present paper shows a detection method for a pressurized liquid ammonia pipeline with a leak. The variations of pressure, flow rate and pressure difference profile are studied. A leak indicator ( σ ), proposed with the one-dimensional steady-state flow model, is used to detect the leak occurrence by comparing it with a threshold value ( σLe ). A locating algorithm based on pressure difference profile along the pipeline is also proposed, which has considered the effect of the static pressure increase at the leak point. Experiments on different leak positions and ratios from liquid R22 and ammonia pipelines are carried out to validate this method. It is found that, with a relatively low false alarm rate (as three percent), the minimum detectable leak ratio reached 1% for the R22 pipeline and 4% for the ammonia pipeline. The locating errors are betweenHighlights: A real-time leak detection method is developed for ammonia pipeline in cold storage. A locating algorithm based on pressure difference profile is provided. This method is validated by R22 and ammonia leak experiments. The minimum detectable leak ratio is 1% for R22 and 4% for ammonia. The location estimating errors are −27% ~ 17% for R22 and −27% ~ 27% for ammonia. Graphical Abstract: Abstract: Leakage from pressurized liquid ammonia pipeline has been a serious problem in large commercial cold storages because it might release large amount of liquid ammonia and without safety supervision in daily operations. The present paper shows a detection method for a pressurized liquid ammonia pipeline with a leak. The variations of pressure, flow rate and pressure difference profile are studied. A leak indicator ( σ ), proposed with the one-dimensional steady-state flow model, is used to detect the leak occurrence by comparing it with a threshold value ( σLe ). A locating algorithm based on pressure difference profile along the pipeline is also proposed, which has considered the effect of the static pressure increase at the leak point. Experiments on different leak positions and ratios from liquid R22 and ammonia pipelines are carried out to validate this method. It is found that, with a relatively low false alarm rate (as three percent), the minimum detectable leak ratio reached 1% for the R22 pipeline and 4% for the ammonia pipeline. The locating errors are between −27% ~ 17% for R22 pipeline and −27% ~ 27% for ammonia pipeline. … (more)
- Is Part Of:
- Applied thermal engineering. Volume 95(2016:Feb.)
- Journal:
- Applied thermal engineering
- Issue:
- Volume 95(2016:Feb.)
- Issue Display:
- Volume 95 (2016)
- Year:
- 2016
- Volume:
- 95
- Issue Sort Value:
- 2016-0095-0000-0000
- Page Start:
- 462
- Page End:
- 470
- Publication Date:
- 2016-02-25
- Subjects:
- Leak detection -- Liquid pipeline -- Refrigeration -- Ammonia -- Cold storage
Heat engineering -- Periodicals
Heating -- Equipment and supplies -- Periodicals
Periodicals
621.40205 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13594311 ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.applthermaleng.2015.11.067 ↗
- Languages:
- English
- ISSNs:
- 1359-4311
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1580.101000
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British Library HMNTS - ELD Digital store - Ingest File:
- 8717.xml