Published Paper Details:

Emergency management in industrial plants is fundamental to ensuring operator safety. It involves analyzing two crucial aspects: system reliability and human reliability. System reliability refers to the capability of maintaining functional properties under variable work conditions, considering potential deviations due to unexpected events. However, system reliability is often compromised by the reliability of its weakest component. In complex processes, incidental situations may arise, with human reliability being the most vulnerable aspect. The complexity of systems significantly influences an operator's ability to make decisions during emergencies. This research aims to develop a new approach to evaluate human error probability (HEP) in thermal power plants, termed Systematic Human Reliability Analysis (SHRA). This approach considers both internal and external factors affecting operator performance. SHRA is based on integrating Nuclear Action Reliability Assessment (NARA), Simplified Plant Analysis Risk Human Reliability (SPAR-H), and Performance Shaping Factors (PSFs). The paper critiques existing literature, particularly addressing the limitations associated with working time. We estimated HEP after 8 hours (standard work shift) under emergency conditions. By correlating the strengths of the three methodologies, we propose a comprehensive HEP analysis for emergency scenarios. SHRA was applied in a thermal power plant accident scenario, evaluating 24 hours of working time. The results underscore the most critical internal and external factors impacting operator reliability. This new approach offers a robust framework for assessing human reliability during emergencies in thermal power plants.