풍력발전기 성능분석을 통한 이용률 향상방안에 대한 연구
A study on capacity factor improvement based on performance analysis
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초록
The objective of this study is to improve the capacity factor of offshore wind power generation and improve its economic feasibility through performance improvement of wind turbines, primarily based on the analysis of actual operation and management data from the Southwest Sea Offshore Wind Demonstration Site (with a capacity of 60 MW, hereinafter referred to as the "Demonstration Site"). According to the research findings, the capacity factor of wind turbines is largely influenced by the wind conditions of the wind farm and the performance of the turbines. The performance analysis of the turbines was conducted through an examination of the failure rates of major turbine components. To reduce these failure rates and improve the capacity factor, it was found necessary to comprehensively implement O amp;M technologies such as condition-based maintenance and predictive maintenance, establish replacement criteria for major components and predict failures in advance, and improve the facilities of key components.
Abstract
The objective of this study is to improve the capacity factor of offshore wind power generation and improve its economic feasibility through performance improvement of wind turbines, primarily based on the analysis of actual operation and management data from the Southwest Sea Offshore Wind Demonstration Site (with a capacity of 60 MW, hereinafter referred to as the "Demonstration Site"). According to the research findings, the capacity factor of wind turbines is largely influenced by the wind conditions of the wind farm and the performance of the turbines. The performance analysis of the turbines was conducted through an examination of the failure rates of major turbine components. To reduce these failure rates and improve the capacity factor, it was found necessary to comprehensively implement O amp;M technologies such as condition-based maintenance and predictive maintenance, establish replacement criteria for major components and predict failures in advance, and improve the facilities of key components.