Forecasting offshore wind speeds above the North Sea

Wind Energy ◽  
2004 ◽  
Vol 8 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Jens Tambke ◽  
Matthias Lange ◽  
Ulrich Focken ◽  
J�rg-Olaf Wolff ◽  
John A. T. Bye
Keyword(s):  
North Sea ◽  
Offshore Wind ◽  
Wind Speeds ◽  
The North ◽  
The North Sea

scholarly journals On the effects of inter-farm interactions at the offshore wind farm Alpha Ventus

2021 ◽  
Vol 6 (6) ◽  
pp. 1455-1472
Author(s):  
Vasilis Pettas ◽  
Matthias Kretschmer ◽  
Andrew Clifton ◽  
Po Wen Cheng
Keyword(s):  
North Sea ◽  
Turbulence Intensity ◽  
Wind Farm ◽  
Wind Farms ◽  
Energy Transition ◽  
Offshore Wind ◽  
Wind Speeds ◽  
The North ◽  
The North Sea ◽  
Layer Flow

Abstract. The energy transition means that more and more wind farms are being built in favorable offshore sites like the North Sea. The wind farms affect each other as they interact with the boundary layer flow. This phenomenon is a topic of current research by the industry and academia as it can have significant technical and financial impacts. In the present study, we use data from the Alpha Ventus wind farm site to investigate the effects of inter-farm interactions. Alpha Ventus is the first offshore German wind farm located in the North Sea with a fully equipped measurement platform, FINO1, in the near vicinity. We look at the effects on the wind conditions measured at FINO1 before and after the beginning of operation of the neighboring farms. We show how measured quantities like turbulence intensity, wind speed distributions, and wind shear are evolving from the period when the park was operating alone in the area to the period when farms were built and operate in close proximity (1.4–15 km). Moreover, we show how the wind turbine's response in terms of loads and generator and pitch activity is affected using data from a turbine that is in the vicinity of the mast. The results show the wake effects in the directions influenced by the wind farms according to their distance with increased turbulence intensity, reduced wind speeds, and increased structural loading.

scholarly journals MISALIGNMENT AND LAG TIME OF WIND AND WAVE OCCURRENCE BASED ON 10 YEARS MEASUREMENTS IN THE NORTH SEA NEAR THE GERMAN COAST

2018 ◽  
pp. 13
Author(s):  
Arndt Hildebrandt ◽  
Remo Cossu
Keyword(s):  
Wind Speed ◽  
Wave Height ◽  
North Sea ◽  
Offshore Wind ◽  
Wave Loads ◽  
Wind Speeds ◽  
The North ◽  
The North Sea ◽  
The Impact ◽  
The Waves

There are several intentions to analyze the correlation of wind and wave data, especially in the North Sea. Fatigue damage is intensified by wind and wave loads acting from different directions, due to the misaligned aerodynamic damping of the rotor regarding the wave loads from lateral directions. Furthermore, construction time and costs are mainly driven by the operational times of the working vessels, which strongly depend on the wind and wave occurrence and correlation. Turbulent wind can rapidly change its direction and intensity, while the inert water waves react slowly in relation to the wind profile. Tuerk (2008) investigates the impact of wind and turbulence on offshore wind turbines by analyzing data of four years. The study shows that the wave height is increasing with higher wind speeds but when the wind speed drops the reaction of the waves is postponed. The dependence of the wave height on the wind speed is varying because of the atmospheric stability and different wind directions. Fischer et al. (2011) estimated absolute values of misalignment between wind and waves located in the Dutch North Sea. The study presents decreasing misalignment for increasing wind speeds, ranging up to 90 degrees for wind speeds below 12 m/s and up to 30 degrees for wind speeds above 20 m/s. Bredmose et al. (2013) present a method of offshore wind and wave simulation by using metocean data. The study describes characteristics of the wind and wave climate for the North and Baltic Sea as well as the directional distribution of wind and waves. Güner et al. (2013) cover the development of a statistical wave model for the Karaburun coastal zone located at the southwest coast of the Black Sea with the help of wind and wave measurements and showed that the height of the waves is directly correlating with the duration of the wind for the last four hours.

scholarly journals On the effects of inter-farm interactions at the offshore wind farm Alpha Ventus

2021 ◽  
Author(s):  
Vasilis Pettas ◽  
Matthias Kretschmer ◽  
Andrew Clifton ◽  
Po Wen Cheng
Keyword(s):  
North Sea ◽  
Turbulence Intensity ◽  
Wind Farm ◽  
Wind Farms ◽  
Energy Transition ◽  
Offshore Wind ◽  
Wind Speeds ◽  
The North ◽  
The North Sea ◽  
Layer Flow

Abstract. The energy transition means that more and more wind farms are being built in favorable offshore sites like the North Sea. The wind farms affect each other as they interact with the boundary layer flow. This phenomenon is a topic of current research by the industry and academia as it can have significant technical and financial impacts. In this study we use data from the Alpha Ventus wind farm site to investigate the effects of inter-farm interactions. Alpha Ventus is the first offshore German wind farm located at the North Sea with a fully equipped measurement platform FINO1 in the near vicinity. We look at the effects on the wind conditions measured at FINO1 before and after the beginning of operation of the neighboring farms. We show how measured quantities like turbulence intensity, wind speed distributions, and wind shear are evolving from the period where the park was operating alone in the area to the period where farms were built and operate in close proximity (1.4–15 km). Moreover, we show how the wind turbine performance is affected using data from a turbine that is in the vicinity of the mast. The results show the wake effects in the directions influenced by the wind farms according to their distance with increased turbulence intensity, reduced wind speeds, and increased structural loading.

Accessibility assessment for operation and maintenance of offshore wind farms in the North Sea

Wind Energy ◽  
2016 ◽  
Vol 20 (4) ◽  
pp. 637-656 ◽  
Author(s):  
Michele Martini ◽  
Raúl Guanche ◽  
Iñigo J. Losada ◽  
César Vidal
Keyword(s):  
North Sea ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farms ◽  
The North ◽  
Operation And Maintenance ◽  
The North Sea

scholarly journals Evidence for the effects of decommissioning man-made structures on marine ecosystems globally: a systematic map protocol

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Anaëlle J. Lemasson ◽  
Antony M. Knights ◽  
Murray Thompson ◽  
Gennadi Lessin ◽  
Nicola Beaumont ◽  
...  
Keyword(s):  
North Sea ◽  
Evidence Synthesis ◽  
Marine Ecosystem ◽  
Offshore Wind ◽  
Systematic Map ◽  
Management Options ◽  
The North ◽  
Ecosystem Effects ◽  
Published Evidence ◽  
The North Sea

Abstract Background Numerous man-made structures (MMS) have been installed in various parts of the ocean (e.g. oil and gas structures, offshore wind installations). Many are now at, or nearing, the end of their intended life. Currently, we only have a limited understanding of decommissioning effects. In many locations, such as the North Sea, regulations restrict decommissioning options to complete removal, with little consideration of alternative management options might offer. To generate a reliable evidence-base to inform the decision-making processes pertaining to marine MMS management, we propose a wide-encompassing systematic map of published research on the ecosystem effects (including ecosystem services) of marine MMS while in place and following cessation of operations (i.e. including effects of alternative decommissioning options). This map is undertaken as part of the UKRI DREAMS project which aims to develop a system to show the relative effects of implementing different decommissioning strategies in the North Sea. Method For the purpose of this map, we will keep our focus global, in order to subsequently draw comparisons between marine regions. The proposed map will aim to answer the following two primary questions: 1. What published evidence exists for the effects of marine man-made structures while in place on the marine ecosystem? 2. What published evidence exists for the effects of the decommissioning of marine man-made structures on the marine ecosystem? The map will follow the Collaboration for Environmental Evidence Guidelines and Standards for Evidence Synthesis in Environmental Management. Searches will be run primarily in English in at least 13 databases and 4 websites. Returns will be screened at title/abstract level and at full-text against pre-defined criteria. Relevant meta-data will be extracted for each study included. Results will be used to build a database of evidence, which will be made freely available. This map, expected to be large, will improve our knowledge of the available evidence for the ecosystem effects of MMS in the global marine environment. It will subsequently inform the production of multiple systematic-reviews and meta-analyses.

scholarly journals Norwegian hindcast archive (NORA3) – A validation of offshore wind resources in the North Sea and Norwegian Sea

2021 ◽  
Author(s):  
Ida Marie Solbrekke ◽  
Asgeir Sorteberg ◽  
Hilde Haakenstad
Keyword(s):  
Wind Power ◽  
Power Production ◽  
Offshore Wind ◽  
Norwegian Sea ◽  
Offshore Wind Power ◽  
Wind Speeds ◽  
The North ◽  
The North Sea ◽  
Wind Events ◽  
Simulated Wind

Abstract. A new high-resolution (3 km) numerical mesoscale weather simulation spanning the period 2004–2018 is validated for offshore wind power purposes for the North Sea and Norwegian Sea. The NORwegian hindcast Archive (NORA3) was created by dynamical downscaling, forced with state-of-the-art hourly atmospheric reanalysis as boundary conditions. A validation of the simulated wind climatology has been carried out to determine the ability of NORA3 to act as a tool for planning future offshore wind power installations. Special emphasis is placed on evaluating offshore wind power-related metrics and the impact of simulated wind speed deviations on the estimated wind power and the related variability. The general conclusion of the validation is that the NORA3 data is rather well suited for wind power estimates, but gives slightly conservative estimates on the offshore wind metrics. Wind speeds are typically 5 % (0.5 ms−1) lower than observed wind speeds, giving an underestimation of offshore wind power of 10 %–20 % (equivalent to an underestimation of 3 percentage point in the capacity factor), for a selected turbine type and hub height. The model is biased towards lower wind power estimates because of overestimation of the frequency of low-speed wind events (< 10 ms−1) and underestimation of high-speed wind events (> 10 ms−1). The hourly wind speed and wind power variability are slightly underestimated in NORA3. However, the number of hours with zero power production (around 12 % of the time) is fairly well captured, while the duration of each of these events is slightly overestimated, leading to 25-year return values for zero-power duration being too high for four of the six sites. The model is relatively good at capturing spatial co-variability in hourly wind power production among the sites. However, the observed decorrelation length was estimated to be 432 km, whereas the model-based length was 19 % longer.

scholarly journals A decision support system for assessing offshore wind energy potential in the North Sea

Energy Policy ◽  
2012 ◽  
Vol 49 ◽  
pp. 541-551 ◽  
Author(s):  
Christoph Schillings ◽  
Thomas Wanderer ◽  
Lachlan Cameron ◽  
Jan Tjalling van der Wal ◽  
Jerome Jacquemin ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Wind Energy ◽  
North Sea ◽  
Support System ◽  
Offshore Wind ◽  
Energy Potential ◽  
The North ◽  
The North Sea ◽  
Wind Energy Potential
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