Remote sensing and in situ sea state instrument comparisons at the research platform FINO 1 in the German Bight

Senet, C.M.; Fischer, Jens; Outzen, Olaf; Herklotz, Kai; Klein, Holger

doi:10.1109/igarss.2012.6351862

Cited by 5 publications

(5 citation statements)

References 1 publication

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“…We address winds at 100 m above sea level, corresponding to typical multimegawatt wind turbine hub heights and analyze the 50‐year wind at z = 100 m (except for M2, which has its highest measurement level at 62 m). The description of measurements from the FINO masts can be found in previous works,() and Høvsøre is detailed in Peña et al and Larsén et al…”

Section: Methodsmentioning

confidence: 99%

“…We address winds at 100 m above sea level, corresponding to typical multimegawatt wind turbine hub heights and analyze the 50-year wind at z = 100 m (except for M2, which has its highest measurement level at 62 m). The description of measurements from the FINO masts can be found in previous works, [26][27][28][29][30] and Høvsøre is detailed in Peña et al 31 and Larsén et al 32 As will be discussed in Section 4.1, short-term measurements from Horns Rev I (M2 and buoy) is limited for an accurate estimation of U 50yr ;…”

Section: Measurementsmentioning

confidence: 99%

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Estimation of offshore extreme wind from wind‐wave coupled modeling

Larsén

Bolaños

et al. 2019

Wind Energy

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A coupledwind‐wave modeling system is used to simulate 23 years of storms and estimate offshore extreme wind statistics. In this system, the atmospheric Weather Research and Forecasting (WRF) model and Spectral Wave model for Near shore (SWAN) are coupled, through a wave boundary layer model (WBLM) that is implemented in SWAN. The WBLM calculates momentum and turbulence kinetic energy budgets, using them to transfer wave‐induced stress to the atmospheric modeling. While such coupling has a trivial impact on the wind modeling for 10‐m wind speeds less than 20 ms−1, the effect becomes appreciable for stronger winds—both compared with uncoupled WRF modeling and with standard parameterization schemes for roughness length. The coupled modeling output is shown to be satisfactory compared with measurements, in terms of the distribution of surface‐drag coefficient with wind speed. The coupling is also shown to be important for estimation of extreme winds offshore, where the WBLM‐coupled results match observations better than results from noncoupled modeling, as supported by measurements from a number of stations.

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Section: Methodsmentioning

confidence: 99%

Section: Measurementsmentioning

confidence: 99%

Estimation of offshore extreme wind from wind‐wave coupled modeling

Larsén

Bolaños

et al. 2019

Wind Energy

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“…More details about the measurements at FINO 1 can be found in Ref. [44]. The data used here are half hourly and are from 2003 to 2013.…”

Section: Measurementsmentioning

confidence: 99%

“…The data quality was examined in terms of comparison with measurements from four other different instruments in Ref. [44]. The consistent statistics between the various measurements suggest a good data quality.…”

Section: Measurementsmentioning

confidence: 99%

A statistical methodology for the estimation of extreme wave conditions for offshore renewable applications

et al. 2015

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keywords:Significant wave height The 50-year return significant wave height Spectral correction a b s t r a c t Accurate estimation of extreme wave conditions is critical for offshore renewable energy activities and applications. The use of numerical wind and wave models gives a credible and convenient way of monitoring the general atmospheric and sea state conditions, especially in the absence of sufficient observational networks. However, when focusing on the study of non-frequent cases, in particular over coastal areas, increased uncertainty in the model outputs and accordingly in the reliability of the estimation of extreme waves becomes an important issue. The current study introduces a methodology to validate and post-process outputs from a high resolution numerical wave modeling system for extreme wave estimation based on the significant wave height. This approach is demonstrated through the data analysis at a relatively deep water site, FINO 1, as well as a relatively shallow water area, coastal site Horns Rev, which is located in the North Sea, west of Denmark. The post-processing targets at correcting the modeled time series of the significant wave height, in order to match the statistics of the corresponding measurements, including not only the conventional parameters such as the mean and standard deviation, but also a new parameter, the second-order spectral moment. This second-order spectral moment is essential for extreme value estimation but has so far been neglected in relevant studies. The improved model results are utilized for the estimation of the 50-year values of significant wave height as a characteristic index of extreme wave conditions. The results from the proposed methodology seem to be in a good agreement with the measurements at both the relatively deep, open water and the shallow, coastal water sites, providing a potentially useful tool for offshore renewable energy applications.

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“…Extensive oceanographic observations were performed and analyzed (e.g. [19]- [21]). Therefore, in this study only a general overview will be presented.…”

Section: Data Analysis Related To Applications Of Offshore Operationsmentioning

confidence: 99%

Sea state measurements in germanys first offshore wind farm "alpha ventus" in the south-eastern part of the north sea

Fischer

Senet

Schneehorst

et al. 2015

2015 IEEE/OES Eleveth Current, Waves and Turbulence Measurement (CWTM)

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Offshore wind farms will become more frequent in the German part of the North Sea. High and continuous wind speeds, as well as remoteness to populated areas are advantages of offshore wind turbines. To evaluate the environmental sustainability and technical/financial feasibility of offshore wind farm expansion, the German Federal Government has decided to encourage the renewable offshore sector, among other things, with a comprehensive scientific research project (Research at Alpha Ventus (RAVE)) [1]. The RAVE project startet 2008 with first marine observations 2010. Purpose of this project is to enhance the sparely investigated knowledge of impacts of the harsh marine conditions with regard to construction and operation in offshore regions. Within this project, extensive oceanographic investigations are carried out.The measured oceanographic data is a basic dataset to the entire accompanying research, both for the technical aspects as for the environmental and geological investigations. Furthermore the influences of offshore structures and facilities should be examined with respect to shelf sea physics and vice versa. The present study shows results from five years of oceanographic measurements regarding to construction and operation of offshore wind farms. For that reason the focus is on sea state observations (installation, maintenance and data analysis) which have a major impact on the operational management of offshore facilities. In this paper, measurements with directional wave rider buoys, various radar level gauges (sea state parameters calculated from water level data) and ADCPs (with option to measure sea state) are compared and evaluated to their physical limits, ambient conditions, accuracies, as well as technical advantages and disadvantages. A better understanding of the instruments helps to optimize the measurement concepts in terms of type, number, measurement time and locations. In consequence this can lead to an improvement of offshore energy production facility design, robustness and dimensioning. Additional benefits can be an optimization of facility locations and access times during facility construction and maintenance, cost reduction as well as improved energy production rates.

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Remote sensing and in situ sea state instrument comparisons at the research platform FINO 1 in the German Bight

Cited by 5 publications

References 1 publication

Estimation of offshore extreme wind from wind‐wave coupled modeling

Estimation of offshore extreme wind from wind‐wave coupled modeling

A statistical methodology for the estimation of extreme wave conditions for offshore renewable applications

Sea state measurements in germanys first offshore wind farm "alpha ventus" in the south-eastern part of the north sea

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