Utilization of Markov chain technique to generate high-density wind speed data for the coastal belt of Pakistan

ABSTRACT

In order to estimates the reliable wind potential of any region, the high density wind speed data of 10-minutes or an hour interval is necessary. In most part of the Pakistan, available wind speed data is usually consists of monthly averages. In such a case, the Markov chain method based on transition matrix approach is used to synthesize the hourly wind speed data from the available averaged monthly wind speed data. The coastal belt of Pakistan is consider as a favorable regime for the development of wind energy activities and mainly targeted for the energy estimation. The first-order Markov chain technique has been used to synthesize and generate the wind speed data for the height of 10m from the monthly averaged wind data into the daily wind speed data for the coastal regions of Pakistan. Furthermore, the trends of both the daily original airport wind speed data and the synthesized wind speed data for the coastal regions of Pakistan. Furthermore, the trends of both the daily original airport wind speed data and the synthesized wind speed data have been analyzed and significant compatibility is observed