Improving of the angstrom-prescott model using harmonic analysis

The solar energy as one of the most important energy sources is investigated for effective use in a variety of areas. Especially, with the tendency of depletion of fossil fuel consumption as well as their greenhouse gas emissions leading to atmospheric pollution and, hence, global warming and climate change, the value of renewable energy sources and solar energy is increasing rapidly. In the solar energy prediction, the relationship between solar irradiation and sunshine duration plays the most dominant role. The aim of this study is to apply harmonic analysis, coupled with the classical Angström-Prescott equation, to solar irradiation and sunshine duration data for the extraction of its relevant relationship. Firstly, it helps to eliminate the periodicity from the measurement record and then the application of the Angström-Prescott model is applied, which is then tested and compared with the classical Angström-Prescott model based on the regression approach. The applications are achieved by use of measurements at the major city in the south-eastern Anatolian part of Turkey, namely, Diyarbakır. The improved model provides more successful and reliable outputs than the classical approach.