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Risk analysis and reliability of the GERDA Experiment extraction and ventilation plant at Gran Sasso mountain underground laboratory of Italian National Institute for Nuclear Physics.

Authors :
Lombardi, Mara
Garzia, Fabio
Guarascio, Massimo
Giovannone, Enzo Paolo
Giampaoli, Antonio
Musti, Mafalda
Ranalli, Maria Teresa
Perruzza, Roberto
Tartaglia, Roberto
Source :
REM - International Engineering Journal. jul-sep2017, Vol. 70 Issue 3, p307-315. 9p.
Publication Year :
2017

Abstract

The aim of this study is the risk analysis evaluation about argon release from the GERDA experiment in the Gran Sasso underground National Laboratories (LNGS) of the Italian National Institute for Nuclear Physics (INFN). The GERDA apparatus, located in Hall A of the LNGS, is a facility with germanium detectors located in a wide tank filled with about 70 m3 of cold liquefied argon. This cryo-tank sits in another water-filled tank (700 m³) at atmospheric pressure. In such cryogenic processes, the main cause of an accidental scenario is lacking insulation of the cryo-tank. A preliminary HazOp analysis has been carried out on the whole system. The risk assessment identified two possible top-events: explosion due to a Rapid Phase Transition - RPT and argon runaway evaporation. Risk analysis highlighted a higher probability of occurrence of the latter top event. To avoid emission in Hall A, the HazOp, Fault Tree and Event tree analyses of the cryogenic gas extraction and ventilation plant have been made. The failures related to the ventilation system are the main cause responsible for the occurrence. To improve the system reliability some corrective actions were proposed: the use of UPS and the upgrade of damper opening devices. Furthermore, the Human Reliability Analysis identified some operating and management improvements: action procedure optimization, alert warnings and staff training. The proposed model integrates the existing analysis techniques by applying the results to an atypical work environment and there are useful suggestions for improving the system reliability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2448167X
Volume :
70
Issue :
3
Database :
Academic Search Index
Journal :
REM - International Engineering Journal
Publication Type :
Academic Journal
Accession number :
124883820
Full Text :
https://doi.org/10.1590/0370-44672016700141