Life is all about energy, renewable energy. Jan-Joost Schouten

Transcription

1 Life is all about energy, renewable energy Jan-Joost Schouten

2 Meteo Dashboard a decision support system for planning operation and maintenance offshore wind farms P DEL - Meteo Dashboard Validation Phase Delft-FEWS Gebruikersdag, Deltares

3 FLOW Programme

4 Introduction to offshore wind

5 Introduction to offshore wind

6 Offshore Wind Farm Concessions in the North Sea Source: 4COffshore.com

7 Offshore wind in Nederland 2015 windgebied Borssele 700 MW 2016 windgebied Borssele 700 MW 2017 windgebied Zuid-Hollandse kust 700 MW 2018 windgebied Zuid-Hollandse kust 700 MW 2019 windgebied Noord-Hollandse kust 700 MW (1 turbine = ~5 MW)

8 Focus on O&M. Relevant? Operations and maintenance (O&M) make up 25% of the cost of an offshore wind farm almost as much as the wind turbines themselves, and about as much as construction and installation Presently more than 1500 offshore wind turbines (4.3GW) installed in the North Sea, Irish Sea and the Baltic Sea. EWEA: 1,503 offshore wind turbines are fully grid connected in 56 wind farms across 10 countries, with a total capacity of 4,336 MW, as of 30 June In 2020 >8000 wind turbines (40GW) will be constructed in these seas In 2030 >18000 wind turbines (150GW) are envisaged to be constructed in these seas (Source EWEA)

9 Introduction to offshore wind Operational conditions: Maximum wave height ~1.5m?

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11 Meteo Dashboard The objective: is to develop a decision support system for operation and maintenance activities of offshore wind farms, in order to minimize costs of MWh from offshore wind. 1. Forecasting System: a high-resolution hydrodynamic modelling system that provides forecasts of waves, currents and water levels at each wind turbine location in the offshore wind farm, on the basis of meteo- and offshore boundary conditions from various sources 2. Meteo Dashboard: an integrated software system that collects, stores and presents all relevant measured and forecasted meteo- and hydrodynamic data, in support of the decision making process of installation and maintenance activities at the OWP Pilot project: Current project: Tromp Binnen, concession of RWE RWE s offshore wind farms in the Irish Sea

12 Meteo Dashboard forecasts overall model (DCSM, ECMWF) offshore measurements (metmast, ADCP, lidar) models Automated data error corrections Detailed calibrated Wind Park model Data assimilation & Uncertainty bands Operational Forecasting System validated measurements detailed forecasts Database Model Application Tool models Weather windows p.e. Scour predictor other Meteo Dashboard Web interface July 6, 2015

13 Meteo Dashboard Ierse Zee RWE s offshore wind Farm in the North Sea: Rhyl Flats North Hoyle Gwynt y Môr

14 Components and work in progress 1. Forecasting system Setup Hydrodynamic model (water level, current magnitude, current direction) Setup Wave model (wave height, wave period, wave direction) Model calibration Model validation Data assimilation Improve accuracy of the forecast Determination of uncertainty band 2. Meteo dashboard Database Dashboard Coupling of: Measurements Forecast (hydrodynamic and wave model) Tools (determination of weather windows, measurement data validation, vessel movements?). * items in red are currently under consideration, construction or partly finished / operational

15 Forecasting system I: Hydrodynamic model DCSM Grid size: 1.5 by 1.0 (~2 km) Grid dimensions: 1120 x 1260 cells Bathymetry based on NOOS gridded data set Tidal constituents from global tidal model (GOT00.2) on open boundaries > 8 main constituents > 16 smaller diurnal and semi-diurnal constituents > Annual constituent Sa Tide Generating Forces (TGF) included (amplitude of effect TGF about 10 cm) red line: DCSM v5 model boundary every 10 th line plotted

16 Hydrodynamica DCSM grid - Delft3D FM - Distance net nodes: 1500 m 80 m (near windparks)

17 Bedlevel Gwynt y Mor Rhyl Flats North Hoyle

18 Bedlevel Measurements RWE - 2 to 10 m resolution

19 Hydrodynamica results GyM waveradar: - RMSE = 0.19m

20 Wave model TIS grid - SWAN - Size grid cells: 2800 m

21 Wave results Wave rider at GyM

22 Forecasting system: Validation Validation of parameters during non-storm period of the year: Water level Currents Wave height Wave period Forecast period: spring & summer 2013 Compare with measurements, a.o. Tromp Binnen Met Mast

23 Meteodashboard: measurements & data Most of the relevant data for the project is contributed by RWE Installation of a new AWAC Provide historical data of RWE s measurement stations (bathy, wave & current measurements, etc.) Met masts Buoys Two wave radars Provide access to real-time data of RWE s measurement stations Provide access to real-time forecast data being used now by decisions makers

24 MeteoDashboard: Delft-FEWS and DDV MeteoDashboard consists of a back-end system based Delft-FEWS, and a web-based front end based on the Delta Data Viewer ( the MeteoDashboard ) Delft-FEWS runs the forecasting system and processes all data. It also has an (more expert) thickclient application. The DDV is a web-based front end tailored to the need to the end-user, using a selection of data available in the Delft-FEWS system.

25 MeteoDashboard RWE Live demo

26 Windpark, parameter and turbine selection

27 Viewing measured and forecast time series Live demo

28 Showing different parameters Live demo

29 Summary reports Live demo

30 Operational tab Mention times for morning, afternoon, etc

31 Operational tab, O&M possible Mention times for morning, afternoon, etc

32 Operational tab, O&M not possible Mention times for morning, afternoon, etc

33 Operational tab, around O&M threshold Mention times for morning, afternoon, etc

34 Correction methods

35 Uncertainty info

36 Methodology can easily be extended Example of a similar MeteoDashboard for Borssele wind farm:

37 FEWS offshore the way forward!

38 FEWS offshore the way forward!

39 Questions? Questions? Contact details: Jan-Joost Schouten