Study on Maintenance Management and Reliability in Distributed Energy Resource System

学生名:蒋　金明

研究テーマ:English

(日本語)

入学年月:2016.10

修了年月:2019.09

取得学位:博士（工学）

論文概要:The Distributed Energy Resource (DER) system has emerged as a pivotal technology in modern energy solutions, offering high energy utilization efficiency and reduced environmental impact. This research focuses on maintenance management and reliability analysis of DER systems, which are characterized by their complexity due to multiple integrated subsystems such as power generation, energy conversion, and management units. The study addresses the critical challenges of ensuring reliability and cost-efficiency in DER systems, emphasizing the importance of optimized maintenance strategies and system design.

The investigation centers on the DER system implemented at the Kitakyushu Science and Research Park (KSRP), Japan. The research develops innovative maintenance prioritization indices to identify and address critical components in the system. Utilizing methods such as Failure Mode and Effect Analysis (FMEA), Failure Mode Effects and Criticality Analysis (FMECA), and Markov processes with state-space models, the study proposes a systematic approach to enhance maintenance management and improve system reliability. The analysis highlights the significance of balancing maintenance resources to reduce operational costs while maintaining system performance.

Key findings include the development of reliability importance indices, such as Failure Cost Importance (FCI) and Potential Failure Cost Importance (PI), to prioritize maintenance based on cost impacts. Additionally, the study explores redundant design strategies to enhance system availability and reduce downtime. Sensitivity analyses identify critical factors influencing total lifecycle costs, providing actionable insights for optimizing DER systems.

This research contributes to the field by offering a comprehensive framework for improving the reliability, availability, and cost-efficiency of DER systems. The proposed methodologies and findings provide valuable guidance for engineers, policymakers, and industry stakeholders in advancing sustainable energy solutions and enhancing the resilience of energy infrastructure.