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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 :
Mara Lombardi
Fabio Garzia
Massimo Guarascio
Enzo Paolo Giovannone
Antonio Giampaoli
Mafalda Musti
Maria Teresa Ranalli
Roberto Perruzza
Roberto Tartaglia
Source :
REM: International Engineering Journal, Vol 70, Iss 3, Pp 307-315
Publisher :
Fundação Gorceix.

Abstract

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.

Details

Language :
English
ISSN :
2448167X and 03704467
Volume :
70
Issue :
3
Database :
Directory of Open Access Journals
Journal :
REM: International Engineering Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.4591a7dc5754d3bbd1b131cab46695d
Document Type :
article
Full Text :
https://doi.org/10.1590/0370-44672016700141