Janna Kristina Seifert

ORCID: 0000-0003-1409-9681
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About
Contact & Profiles
Research Areas
  • Wind Energy Research and Development
  • Electric Power System Optimization
  • Energy Load and Power Forecasting
  • Fluid Dynamics and Vibration Analysis
  • Wind Turbine Control Systems
  • Wind and Air Flow Studies
  • Machine Fault Diagnosis Techniques
  • Magnetic Bearings and Levitation Dynamics
  • PARP inhibition in cancer therapy
  • Cavitation Phenomena in Pumps
  • DNA Repair Mechanisms
  • Structural Health Monitoring Techniques
  • Vehicle Dynamics and Control Systems

Carl von Ossietzky Universität Oldenburg
2016-2024

Czech Academy of Sciences, Institute of Physics
2024

Fraunhofer Institute for Wind Energy Systems
2024

Abstract. The prospects of active wake deflection control to mitigate wake-induced power losses in wind farms have been demonstrated by large eddy simulations, tunnel experiments, and recent field tests. However, it has not yet fully understood how the yaw should take into account variability current environmental conditions uncertainty their measurements. This research investigated influence dynamic direction changes on intended misalignment. For this purpose model FLORIS was used together...

10.5194/wes-3-869-2018 article EN cc-by Wind energy science 2018-11-12

Abstract. Presently there is a lack of data revealing the behaviour path followed by near wake full scale wind turbines and its dependence on yaw misalignment. Here we present an experimental analysis horizontal deviation 5 MW offshore turbine between 0.6 1.4 diameters downstream. The field has been scanned with short-range lidar reconstructed means two-dimensional Gaussian tracking. We analysed measurements for rotor misalignments arising in normal operation during partial load,...

10.5194/wes-1-41-2016 article EN cc-by Wind energy science 2016-04-11

To estimate fatigue loads of wind turbines via neural networks, costly load measurements are needed for training. Thus, our aim was to assess the minimum size training sample. We focused on prediction flapwise blade root bending moments with a network eight inputs. Next statistical testing sample size, their representativeness compared one-year measurement as well seasonal effects were investigated. Our results showed that samples about 2016 records 10-minute statistics representative and...

10.1016/j.egypro.2017.10.356 article EN Energy Procedia 2017-10-01

Abstract. Space–time correlations of power output fluctuations wind turbine pairs provide information on the flow conditions within a farm and interactions turbines. Such can play an essential role in controlling turbines short-term load or forecasting. However, challenges analysing are highly varying conditions. Here, we present approach to investigate space–time streamwise-aligned based high-resolution supervisory control data acquisition (SCADA) data. The proposed overcomes challenge...

10.5194/wes-6-997-2021 article EN cc-by Wind energy science 2021-07-23

Abstract. Presently there is a lack of data revealing the behaviour path followed by near wake full scale wind turbines and its dependence on yaw misalignment. Here we present an experimental analysis horizontal deviation 5 MW offshore turbine between 0.6 1.4 diameters downstream. The field has been scanned with short range lidar reconstructed means two-dimensional Gaussian tracking. We analysed measurements for rotor misalignments arising in normal operation during partial load,...

10.5194/wes-2015-5 preprint EN cc-by 2016-01-19

Abstract. Minute-scale power forecasts are gaining importance to support the integration of volatile wind in particular for offshore farms with geographical concentration generation capacity. Lidar-based approaches have proven useful as an alternative statistical methods, however, their forecast horizon needs be extended from currently 5 minutes at least 15 end-users. In this work, we utilize data extensive measurement campaign and adapt a lidar-based forecasting approach, e.g. include...

10.5194/wes-2024-141 preprint EN cc-by 2024-12-10

Abstract. The correlation of power output fluctuations wind turbines in free field are investigated, taking into account the challenge varying states due to variable flow and turbine conditions within farm. Based on eight months 1 Hz SCADA data, measured at an offshore farm with 80 turbines, influence different parameters is analysed. It found that depends location as well inflow (free-stream or wake). Wind direction investigations show highest for streamwise aligned pairs decreases towards...

10.5194/wes-2020-96 preprint EN cc-by 2020-09-29
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