Project: Intelligent Windfarm Control – Analysing data in real-time for a proactive windfarm maintenance system

Team: Prof. Dr.-Ing. Jorge Marx Gómez (Carl von Ossietzky Universität Oldenburg), Dipl.-Oec. Benjamin Wagner vom Berg (Carl von Ossietzky Universität Oldenburg), Dipl.-Wirt.Inform. Andreas Solsbach (Carl von Ossietzky Universität Oldenburg)

Research institution: Carl von Ossietzky Universität Oldenburg

Abstract: One of the most important topics nowadays is the question of how we will be able to fulfil our energy demands in the future. As a consequence of the Fukushima disaster, the Government of the Federal Republic of Germany decided to minimize its dependence on the nuclear energy and increase its reliance on different sources of Renewable Energy. Although Wind energy is considered one of the most important sources of Renewable energy in Germany, the efficiency and the optimal utilization of many of the wind farms in Germany have not been fully achieved.

In this project we try to enhance wind farm’s efficiency through increasing the wind power plant’s uptime. To achieve this, we load environmental and technical real-time data that consists of almost one hundred variables (update frequency: every five seconds) in the SAP HANA system. Here we implement various algorithms to control the technical availability of these wind power plants, and to predict possible problems and failures in a single power plant that might propagate and affect the entire wind farm. In order for this mechanism to work properly, SAP HANA will be equipped with an alerting system that reacts when some critical monitoring values bypass its intended threshold levels. Based on these alerts, it is possible to execute quick proactive maintenance and repairs to lower the downtime of these power plants.

The used data will be based on simulation, which are generated with stochastic methods. Both data and algorithms will be provided by the German institute for wind energy: Forwind.

Oldenburg Windfarm

Last modified 9 years ago Last modified on Aug 30, 2012 9:29:35 AM

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