Study on Equipment Maintenance and System Optimization of Distributed Energy Resource

学生名:柳　鍾惠

研究テーマ:English

(日本語)

入学年月:2018.10

修了年月:2021.09

取得学位:博士（工学）

論文概要:This research focuses on the equipment maintenance and system optimization of distributed energy resource (DER) systems, aiming to enhance economic benefits, energy savings, and carbon emission reduction. The key points of the study are summarized as follows:

1. Background and Purpose: With the growing global energy demand, issues such as energy consumption, greenhouse gas emissions, and environmental pollution have become increasingly prominent. DER systems are highly efficient and contribute to energy conservation and emission reduction. However, their implementation is hindered by improper maintenance management and unsuitable capacity configurations. This study aims to optimize maintenance strategies and system design to improve DER's economic, energy, and environmental performance.
2. Literature Review: Previous research on DER systems is reviewed, focusing on performance evaluation, maintenance management, and system configuration, which are critical factors influencing DER performance.
3. Theories and Methodology: The study introduces mathematical models and simulation algorithms to analyze economic benefits, energy consumption, carbon emissions, and maintenance strategies for DER systems.
4. Investigation of Real Operation Data: The operational status and maintenance strategies of the DER system at the Kitakyushu Science and Research Park (KSRP) are analyzed to identify challenges and areas for improvement.
5. Life Cycle Assessment (LCA): A life cycle assessment method is proposed to evaluate DER system performance in terms of economic, energy, and environmental benefits compared to conventional energy systems (CES).
6. Maintenance Optimization: Maintenance strategies for DER systems are optimized by analyzing failure modes, causes, and effects of components. Risk priority numbers (RPN) are reduced through severity, occurrence, and detection evaluations to improve maintenance effectiveness.
7. Comprehensive Performance Assessment and System Optimization: The study establishes a comprehensive performance index (CPI) based on economic, energy, and environmental criteria. Using a genetic algorithm (GA), the DER system's capacity and configuration are optimized for maximum CPI, and the impact of electricity pricing mechanisms is analyzed.

This research provides a systematic framework for improving DER system performance through maintenance and design optimization, promoting sustainable energy development.