Multi-criteria decision-making framework for evaluating life-cycle resilience of power-generating plants

Power generating plants, indispensable for modern societies, remain vulnerable to seismic disruptions. While efforts have been made to mitigate seismic risks, ensuring the life-cycle resilience of these critical infrastructures remains paramount. This study introduces a comprehensive framework, BCA-MCDM, for assessing power plant resilience, considering a multi-criteria approach encompassing costs, benefits, downtime, payback period, and repair costs. By integrating probabilistic-based assessments and cost–benefit analyses, the framework facilitates the identification of optimal seismic mitigation strategies. Key findings emphasize the significant influence of business downtime on life-cycle damage, stressing the need for expanded insurance coverage. The framework quantifies total losses by combining direct and indirect costs, providing a robust basis for decision-making. To enhance the framework's applicability, future research should explore the integration of fuzzy TOPSIS methodology and consider additional factors. This study contributes to the development of resilient power plants by providing a robust assessment tool for decision-makers.

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Publication Details

Journal
Academia Engineering
Published
2024-11-29
DOI
https://doi.org/10.20935/acadeng7408
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

Multi-criteria decision-making framework for evaluating life-cycle resilience of power-generating plants

Abba Mas'ud Alfanda
Academia Engineering
Infrastructure Resilience and Vulnerability Analysis
article

Multi-criteria decision-making framework for evaluating life-cycle resilience of power-generating plants

Abba Mas'ud Alfanda
article en

Abstract

Power generating plants, indispensable for modern societies, remain vulnerable to seismic disruptions. While efforts have been made to mitigate seismic risks, ensuring the life-cycle resilience of these critical infrastructures remains paramount. This study introduces a comprehensive framework, BCA-MCDM, for assessing power plant resilience, considering a multi-criteria approach encompassing costs, benefits, downtime, payback period, and repair costs. By integrating probabilistic-based assessments and cost–benefit analyses, the framework facilitates the identification of optimal seismic mitigation strategies. Key findings emphasize the significant influence of business downtime on life-cycle damage, stressing the need for expanded insurance coverage. The framework quantifies total losses by combining direct and indirect costs, providing a robust basis for decision-making. To enhance the framework's applicability, future research should explore the integration of fuzzy TOPSIS methodology and consider additional factors. This study contributes to the development of resilient power plants by providing a robust assessment tool for decision-makers.

Academia EngineeringVol. 1(4)
Sichuan University (CN)
Responsible consumption and production
Openalex Percentile: Top 76%
Infrastructure Resilience and Vulnerability Analysis
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