Random Wind Speed Model Implementation Using Wind Speed Formulas in SIMULINK Environment

This article presents a concise description of building a random wind speed model in SIMULINK environment using wind speed formulas. The model implementation typically involves MATLAB Function blocks or S-functions to incorporate wind speed algorithms such as the Von Karman spectrum or logarithmic wind profile equations. While this serves as a basic demonstration model, significant opportunities exist for further research and exploration. For enhanced accuracy, the model can be improved by integrating various meteorological data inputs through additional data ports and lookup tables, enabling better simulation of wind speeds under diverse climatic conditions. Furthermore, this foundation model can be coupled with other simulation systems using SIMULINK's subsystem connections and bus creators to study complex meteorological phenomena like storms and tornadoes. The implementation may utilize random number generators with appropriate seed settings and filters to maintain physical consistency. Ultimately, this basic model serves as a starting point for more advanced explorations and innovations in wind energy systems and atmospheric studies.