Modeling of Instrumentation and Control Systems with Online Verification for Small Modular Reactors

The paper focuses on the development and analysis of models for digital Instrumentation and Control (I&C) systems in Small Modular Reactors (SMRs) with integrated online verification procedures. It explores the challenges posed by the limited space for equipment in SMRs and the need to enhance operational safety by minimizing reactor downtime. The study introduces a multi-fragment model for SMR I&C systems that incorporates online verification, enabling the timely detection and correction of software faults without shutting down the entire system. The models are evaluated based on their availability function, with comparisons made between scenarios with and without successful fault remediation. The research demonstrates that online verification can significantly improve system availability, especially under conditions of high verification success rates. The findings contribute to optimizing the operational procedures of SMRs, ultimately reducing the cost of electricity generation by enhancing the efficiency and reliability of digital I&C systems.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122215
Primary Topic
Advanced Data Processing Techniques
Type
article
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article

Modeling of Instrumentation and Control Systems with Online Verification for Small Modular Reactors

Ханлар Махмудов, Yuriy Ponochovnyi, Vyacheslav Kharchenko, Oleksandr Ivasiuk
Advanced Data Processing Techniques
article

Modeling of Instrumentation and Control Systems with Online Verification for Small Modular Reactors

Ханлар Махмудов, Yuriy Ponochovnyi, Vyacheslav Kharchenko, Oleksandr Ivasiuk
article en

Abstract

The paper focuses on the development and analysis of models for digital Instrumentation and Control (I&C) systems in Small Modular Reactors (SMRs) with integrated online verification procedures. It explores the challenges posed by the limited space for equipment in SMRs and the need to enhance operational safety by minimizing reactor downtime. The study introduces a multi-fragment model for SMR I&C systems that incorporates online verification, enabling the timely detection and correction of software faults without shutting down the entire system. The models are evaluated based on their availability function, with comparisons made between scenarios with and without successful fault remediation. The research demonstrates that online verification can significantly improve system availability, especially under conditions of high verification success rates. The findings contribute to optimizing the operational procedures of SMRs, ultimately reducing the cost of electricity generation by enhancing the efficiency and reliability of digital I&C systems.

National Aerospace University – Kharkiv Aviation Institute (UA), Poltava State Agrarian University (UA)
Affordable and clean energy
Openalex Percentile: Top 61%
Advanced Data Processing Techniques
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Modeling of Instrumentation and Control Systems with Online Verification for Small Modular Reactors — Ханлар Махмудов, Yuriy Ponochovnyi, et al. · (2024) | TGRS Research Map | TGRS