Abstract
In the last four decades, as the nuclear industry grew and got mature, the importance of adequate risk evaluating tools became decisive. Therefore, the Probabilistic Risk Assessment (also known as Probabilistic Safety Analysis) became a cornerstone of the decisions in such high energy and high-risk industry. PSA has an internationally recognised standard, and it is supported by a group of highly trained experts, (no more than a few hundred worldwide).This work can be used as a guide for the improving the required individual and teamwork skills needed in a Probabilistic Safety Analysis - PSA Team. The necessity of such a moment in a PSA Training was imagined by Dan Serbanescu, doctor in science, nuclear energy expert, risk and safety analyst, in May 2017. After few discussions and according to recognised international standards (Probabilistic Risk Assessment procedures guide, 1983), a first time delivery was possible in the PSA Training delivered in Centrala Nuclearoelectrica Cernavoda / Nuclear Power Plant Cernavoda (2017).This article presents a systematic approach for team improvement skills, consisting of the observation, presentation of the skills required, the skills practised in the proposed exercises, the techniques used during this module (coaching included), and results. The Purpose of the newly proposed combination of training and coaching methods with the specific traditional one oriented mainly to the technical and procedural skills is to raise participants’ awareness about how soft-skills can be used in the PSA Teamwork. As Nuclear Power Plant can be easily compared with a complex organisation, soft skills are vital to be developed within the teams. PSA is becoming more required not only in nuclear but also in the aerospace industry (it was adopted by NASA - National Aeronautics and Space Administration for all future space program and by some hazardous chemical industries, as also stated in international documents (of the European Commission for instance).
New trends in training nuclear power plant employees: probabilistic safety analysis
