Early life failure modes and downtime analysis of onshore type-III wind turbines in Turkey

Sarma N., Tuohy P. M., Özgönenel O., Djurovic S.

ELECTRIC POWER SYSTEMS RESEARCH, vol.216, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 216
  • Publication Date: 2023
  • Doi Number: 10.1016/j.epsr.2022.108956
  • Journal Name: ELECTRIC POWER SYSTEMS RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Environment Index, INSPEC
  • Keywords: Condition monitoring, Downtime, Failures, Failure mode analysis, Reliability, SCADA alarms, Wind turbine, RELIABILITY, SEA
  • Ondokuz Mayıs University Affiliated: Yes

Abstract

Operations and maintenance costs, and unplanned downtime accounts for a significant proportion of the total expenditure of windfarms. Therefore, reduction of these costs is essential, which requires a better understanding of the wind turbines' reliability in terms of failure rates and downtime with operational lifetime. Failure rates and downtime are generally logged using condition monitoring systems, which mainly focus on Supervisory Control and Data Acquisition (SCADA) alarm signals. The aim of this paper is to use SCADA alarm statistics to provide a new failure rate and downtime survey and thus to evaluate reliability performance of the major wind turbine components and subsystems. The paper focuses on a modern onshore windfarm located in Turkey with Type-III wind turbines over the course of the first two years of operations, which is the first time reliability data from Turkey has been published in literature.