DATA ANALYTICS METHODS FOR WIND ENERGY APPLICATIONS Conference Paper uri icon

abstract

  • In the wind industry, it is important to assess a turbine systems response under different wind profiles. For instance, a wind-to-power relationship is crucial for wind power forecast, and a wind-to-stress relationship is important for selecting critical design parameters meeting the reliability requirement. Given the complexity involved in a turbine system, it is impossible to write a neat, analytical expression to underlie the above-mentioned relationships. Almost invariably does the wind industry resort to data driven methods for a solution, namely that wind data and the corresponding turbine response data (bending moments or power outputs) are used together to fit empirically the functional relationship of interest. This paper presents a couple of nonparametric data analytic methods relevant to wind energy applications with real life example for demonstration.

name of conference

  • Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy

published proceedings

  • PROCEEDINGS OF THE ASME TURBO EXPO: TURBINE TECHNICAL CONFERENCE AND EXPOSITION, 2015, VOL 9

author list (cited authors)

  • Ding, Y. u., Tang, J., & Huang, J. Z.

citation count

  • 6

complete list of authors

  • Ding, Yu||Tang, Jiong||Huang, Jianhua Z

publication date

  • January 2015