International Journal of Computational and Applied Mathematics & Computer Science
E-ISSN: 2769-2477
Volume 4, 2024
The Use of Markov Chain Model for Rating Location Based Turbine
Performance
Authors: ,
Abstract: It is shown how a 12-state Markov chain model can be used in rating turbine performance in a given
location. A 1.8 MW wind turbine exposed to wind speed in San Angelo, USA is used for illustration. The model fits
the data. As such, features of the model are used in providing indices for rating the performance of the turbine in
this location. Probability distribution of the wind speed in this location is introduced into each of the traditional
methods of computing average power output from the turbine power curve and expected extract-able power. The
estimates obtained are 937 kW and 826 kW, respectively.
Search Articles
Keywords: Markov chain model, turbine performance rating, turbine power curve, wind energy, wind
speed data
Pages: 1-12
DOI: 10.37394/232028.2024.4.1