A Hybrid Reliability and Risk Assessment Framework for Sustainable Systems Using Markov Model and Fuzzy FMEA
DOI:
https://doi.org/10.13052/jrss0974-8024.19220Keywords:
Markov modeling, fuzzy FMEA, sustainable systems, renewable energy system, reliability, riskAbstract
Renewable energy has emerged as a cornerstone of sustainable development. A sustainable engineering system progressively relies on renewable energy, due to minimal environmental impact and long-term economic benefits. A solar energy system is one of the most well-known engineering systems, which uses sunlight as the power source to convert it into electrical energy. The function of solar energy systems provides a sustainable and cost-effective solution for electricity generation. This study deeply performs reliability and risk analysis of the proposed Smart Water Supply (SWS) system powered by solar energy. The study uses Markov modeling technique to analyze the stochastic behaviour of the transition states of the proposed model and evaluate the reliability measures, such as availability, reliability, mean-time-to-failure (MTTF) and expected cost. Subsequently, the study uses fuzzy FMEA technique to assess potential failure modes by identifying and ranking the most significant failure modes that affect the system’s performance, efficiency and reliability. Using various data sources, 18 failure modes are identified and their criticality is evaluated using the Pareto-based fuzzy Risk Priority Number (RPN) to ensure a comprehensive and practically relevant analysis. The proposed methodology offers insights to enhance the overall performance, sustainability and reliability of the SWS system.
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