Analytical modeling concept for weather phenomena as renewable energy resources

This work describes a general concept for modeling weather phenomena as renewable energy resources. The model considers all typical effects, like time-variance, realistic rates of change, the causality relation between different weather phenomena and satisfying the reference distribution functions. The focus of this work is to design a continuous model, similar to a weather generator, with a simple analytical description. This paper illustrates the concept by a specific implementation for global horizontal irradiance, air temperature and wind speed. We describe the model itself and the data analysis to determine the model parameters. This specific implementation and the concept is validated by designing a model from a 8 year reference dataset. The results show a similar behavior to the recorded data. Only rare, extreme phenomenas are modeled limitedly.