TY - GEN
T1 - Towards a comprehensive modelling framework for flammable refrigerant leaks in transport containers
AU - O'Reilly, Hugh
AU - Crombie, Dermott
AU - Monaghan, Rory F.D.
AU - Molloy, Padraig
N1 - Publisher Copyright:
© 2019 International Institute of Refrigeration. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Recent research has identified the importance of understanding computational fluid dynamics (CFD) in the analysis of flammable refrigerant leaks. Limited work has been documented on the use of CFD in refrigerated transport applications. This paper describes progress towards a CFD-based simulation framework to assess the risks of flammable refrigerant leaks in a marine refrigerated container. The paper details a range of tests of refrigerant leaks and quantitative validation of a CFD model setup for leaks that occur when evaporator fans in the refrigeration unit are powered on. Experimental and simulated results are presented for distributions of gas concentration within the container, along with temperature data. Results of a model performance study using the fractional bias, normalised mean square error, geometric mean bias and geometric variance of the datasets are also presented. In this study, all performance metrics fall within the acceptance criteria and therefore, the modelling methodology is deemed robust and accurate.
AB - Recent research has identified the importance of understanding computational fluid dynamics (CFD) in the analysis of flammable refrigerant leaks. Limited work has been documented on the use of CFD in refrigerated transport applications. This paper describes progress towards a CFD-based simulation framework to assess the risks of flammable refrigerant leaks in a marine refrigerated container. The paper details a range of tests of refrigerant leaks and quantitative validation of a CFD model setup for leaks that occur when evaporator fans in the refrigeration unit are powered on. Experimental and simulated results are presented for distributions of gas concentration within the container, along with temperature data. Results of a model performance study using the fractional bias, normalised mean square error, geometric mean bias and geometric variance of the datasets are also presented. In this study, all performance metrics fall within the acceptance criteria and therefore, the modelling methodology is deemed robust and accurate.
KW - CFD
KW - Computational fluid dynamics
KW - Flammability
KW - Low GWP
KW - Refrigerant
KW - Refrigerated transport
UR - http://www.scopus.com/inward/record.url?scp=85082676495&partnerID=8YFLogxK
U2 - 10.18462/iir.icr.2019.0713
DO - 10.18462/iir.icr.2019.0713
M3 - Conference Publication
AN - SCOPUS:85082676495
T3 - Refrigeration Science and Technology
SP - 3657
EP - 3664
BT - ICR 2019 - 25th IIR International Congress of Refrigeration
A2 - Minea, Vasile
PB - International Institute of Refrigeration
T2 - 25th IIR International Congress of Refrigeration, ICR 2019
Y2 - 24 August 2019 through 30 August 2019
ER -