Delivering Confidence through Probabilistic Risk Assessments
Amidst the continuous evolution of the power generation industry, ensuring plant safety remains a crucial constant. Westinghouse's eVinci™ Micro Reactor Probabilistic Risk Assessments (PRAs) and Probabilistic Safety Assessments (PSAs) offer more than just safety; they drive down operating costs through a sustainable and reliable approach. These assessments optimize applications during online and outage seasons, providing utilities with comprehensive risk mitigation solutions. Supported by proven PRA and PSA models that capture invaluable risk information, Westinghouse's team of experts interprets and evaluates this data to develop robust PRA applications that enhance safety and performance.
Optimizing Risk-Informed Applications and Maintenance
Westinghouse's solutions aim to reduce maintenance and operations resources, minimize regulatory interactions, decrease outage scope and complexity, re-categorize system risk importance metrics to potentially lower component replacement costs, and provide reliable and fast real-time risk monitoring to identify and manage plant risk effectively.
Optimizing PRA Models and Operations
In the realm of PRA models and operations, Westinghouse excels in developing and updating PRA models to meet RG 1.200 guidelines, essential for employing risk-informed applications. Additionally, the company offers training and consultation services. From internal events (systems) to severe accident analysis, Westinghouse covers a broad spectrum of PRA model support, including internal fire, internal flooding, external hazards, model optimization and integration, and specialty risk products.
Optimizing Reliability Data Using Natural Language Processing and Artificial Intelligence
One of Westinghouse's pioneering innovations involves using Artificial Intelligence (AI) algorithms and Natural Language Processing (NLP) to enhance the review of condition reports from sites and classify them appropriately as functional equipment failures. By employing NLP and AI, Westinghouse engineers are able to process vast amounts of plant data efficiently. This technological advancement extends to creating FLEX PRA models that support risk-informed applications effectively. For organizations seeking reliable FLEX reliability data that align with industry standards, Westinghouse's expertise underpins the development of sound estimates for modelling FLEX equipment in the PRA, ultimately ensuring technically adequate risk-informed applications.