Reliability measures for indexed semi-Markov chains applied to wind energy production

2013/11/26 by Guglielmo D'Amico, D'Amico, Guglielmo, Filippo Petroni +3
Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an) #physics.data-an #physics.soc-ph

paper · pdf · doi:10.48550/arxiv.1311.6585

arXiv admin note: substantial text overlap with arXiv:1207.6038

arxiv created 2013/11/26 · arxiv updated 2013/11/27

Abstract

The computation of the dependability measures is a crucial point in the planning and development of a wind farm. In this paper we address the issue of energy production by wind turbine by using an indexed semi-Markov chain as a model of wind speed. We present the mathematical model, we describe the data and technical characteristics of a commercial wind turbine (Aircon HAWT-10kW). We show how to compute some of the main dependability measures such as reliability, availability and maintainability functions. We compare the results of the model with real energy production obtained from data available in the Lastem station (Italy) and sampled every 10 minutes.

Citations

• Reliability measures of second order semi-Markov chain applied to wind energy production

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