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Article

Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation

Fraunhofer Institute for Energy Economics and Energy System Technology—IEE, Königstor 59, 34119 Kassel, Germany
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Appl. Sci. 2020, 10(3), 898; https://doi.org/10.3390/app10030898
Received: 3 December 2019 / Revised: 17 January 2020 / Accepted: 21 January 2020 / Published: 30 January 2020
(This article belongs to the Special Issue Wind Turbine Data, Analysis and Models)
Key performance indicators (KPIs) are commonly used in the wind industry to support decision-making and to prioritize the work throughout a wind turbine portfolio. Still, there is little knowledge of the uncertainties of KPIs. This article intends to shed some light on the uncertainty and reliability of KPIs in general and performance KPIs in particular. For this purpose, different uncertainty causes are discussed, and three data handling related uncertainty causes are analyzed in detail for five KPIs. A local sensitivity analysis is followed by a more detailed analysis of the related uncertainties. The work bases on different sets of operational data, which are manipulated in a large number of experiments to carry out an empirical uncertainty analysis. The results show that changes in the data resolution, data availability, as well as missing inputs, can cause considerable uncertainties. These uncertainties can be reduced or even mitigated by simple measures in many cases. This article provides a comprehensive list of statements and recommendations to estimate the relevance of data handling related KPI uncertainties in the day-to-day work as well as approaches to correct KPIs for systematic deviations and simple steps to avoid pitfalls. View Full-Text
Keywords: wind turbines; key performance indicators; performance; operation; uncertainties; sensitivities; KPI wind turbines; key performance indicators; performance; operation; uncertainties; sensitivities; KPI
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MDPI and ACS Style

Pfaffel, S.; Faulstich, S.; Rohrig, K. Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation. Appl. Sci. 2020, 10, 898. https://doi.org/10.3390/app10030898

AMA Style

Pfaffel S, Faulstich S, Rohrig K. Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation. Applied Sciences. 2020; 10(3):898. https://doi.org/10.3390/app10030898

Chicago/Turabian Style

Pfaffel, Sebastian, Stefan Faulstich, and Kurt Rohrig. 2020. "Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation" Applied Sciences 10, no. 3: 898. https://doi.org/10.3390/app10030898

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