Availability and LCOE Analysis Considering Failure Rate and Downtime for Onshore Wind Turbines in Japan

Author:

Kikuchi YukaORCID,Ishihara TakeshiORCID

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.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Reference28 articles.

1. Japan Wind Power Association, JWPA Report Detail 2021/02/12http://jwpa.jp/page_304_englishsite/jwpa/detail_e.html

2. Wind Power Competitiveness Strengthening Committee, Final Reporthttps://www.meti.go.jp/committee/kenkyukai/energy_environment/furyoku/pdf/report_01_01.pdf

3. The Report of Wind Turbine Failure and Accident 2013–2017,2013–2017

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