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Studies on passive and active systems towards enhanced severe accident source term mitigation The European PASSAM Project

pubblicazioni - Poster

Studies on passive and active systems towards enhanced severe accident source term mitigation The European PASSAM Project

After the Fukushima accident, one of the main concerns of the nuclear industry has been the search for continuous improvement of mitigation. The European project “PASSAM – Passive and Active Systems on Severe Accident Mitigation source term” (7th FWP EURATOM), presented here, was built to explore potential improvements of existing mitigation devices and demonstrate the ability of innovative systems to achieve higher retention.

The PASSAM project has been mounted in the frame of the 7th framework programme of the European Commission. Coordinated by IRSN, this four year project (2013 – 2016) involves nine partners from six countries having a strong experience on severe accidents: IRSN, EDF and university of Lorraine (France); CIEMAT and CSIC (Spain); PSI (Switzerland); RSE (Italy); VTT (Finland) and AREVA GmbH (Germany).It is focused on mitigation systems in case of severe accident intended for reducing potential radioactive atmospheric releases to the environment.

The PASSAM project is mainly of R&D experimental nature, aiming at:
-exploring potential enhancement of existing source term mitigation devices,
-demonstrating the ability of innovative systems to achieve larger source term attenuation.

The project’s outcomes will constitute a valuable database which may be strategic for helping the utilities on the decision of implementing and/or enhancing mitigation systems on their reactors and for improving severe accident management. Robustness features for each type of mitigation system studied will be evaluated to increase the reliability of operation in severe accident conditions. Simple models and/or correlations will result from in-depth analysis of PASSAM experimental results. Once implemented in accident analysis codes, these models should allow enhancing the capability of modelling Severe Accident Management scenarios and developing improved guidelines.

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