Abstract
In this study, the availability and the levelized cost of energy (LCOE) are investigated considering failure rate and downtime for onshore wind turbines in Japan. The failure mode effect analysis is conducted using the wind turbine failure database collected by the New Energy and Industrial Technology Department Organization (NEDO). The normalized failure rate and downtime between Europe and Japan are comparable. The occurrence rate is similar between Europe and Japan, but the downtime in Japan is much longer than that of Europe. Three cost-reduction scenarios are then proposed to improve availability and to reduce LCOE using assumed failure rate and downtime in each mode based on the industry interview and best practices in Japan. The availability is improved from 87.4% for the baseline scenario to 92.7%, 95.5% and 96.4% for the three scenarios, and LCOE is also reduced from 13.7 Yen/kWh to 11.9, 11.0 and 10.7 Yen/kWh. Finally, the probability distributions of downtime and repair cost are obtained for each failure mode. It is found that the probability distributions of the failure modes with the shortest downtime show similar probability distributions regardless of the size of the assembly. The effects of downtime and repair-cost uncertainties on LCOE are also evaluated.
Highlights
In Japan, the installed capacity of onshore wind power generation was 4439 MW with 2554 turbines at the end of 2020 [1]
In Japan, the New Energy and Industrial Technology Development Organization (NEDO) has collected the failure data since 2004 in order to get the overview of accident status all over Japan [5], which collects downtime and repair cost at the assembly level
It was found that the normalized failure rate and downtime in each database showed significant differences. The reason for these differences needs to be investigated further. These failure databases were mainly categorized into the failure at the assembly level, but the downtime and repair cost are affected by the failure mode
Summary
In Japan, the installed capacity of onshore wind power generation was 4439 MW with 2554 turbines at the end of 2020 [1]. The failure characteristics at assembly and failure mode levels have never been analyzed, and the reason for long downtime and low availability in Japan is not examined. The reason for these differences needs to be investigated further These failure databases were mainly categorized into the failure at the assembly level, but the downtime and repair cost are affected by the failure mode. The failure characteristics at the assembly and failure mode levels have never been analyzed in Japan, and the reason for long downtime and low availability is not examined. The failure rate and downtime in Japan are analyzed using the NEDO database at the assembly and failure mode levels. The cost-reduction scenarios are investigated using analyzed failure rates and downtimes with the LCOE database and industry practices in Japan.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
