Additional Revenues of Wind Farms by Enhanced Data Analysis

摘要

Volatile external influences have impact on the operation of wind turbines causing heavy loads on the components. They often degrade power production in the long-term or even stop power production by severe damage. To identify degradation or upcoming defects early, the produced power output should be continuously compared with a calculated value that takes into account the current environmental conditions. For thermal power plants, specialized IT tools are in operation to detect such situations. Their potential for use in the wind power sector has been investigated. It was detected that statistical calculation methods for process performance monitoring and early damage-detection best fit the requirements of the wind sector. These methods and their application to wind data will be demonstrated within this paper. The paper will end with some especially interesting project results, e.g. findings with cost-saving potential paying off for the entire project and typical realized optimization potential.