Meteo Dashboard a decision support system for offshore wind farms. Delft Software Days Jan-Joost Schouten Harbour, Coastal and Offshore Engineering

Transcription

1 Meteo Dashboard a decision support system for offshore wind farms Delft Software Days Jan-Joost Schouten Harbour, Coastal and Offshore Engineering

2 Content: Objective Intro offshore wind System components Research questions & Future developments Time planning

3 Objective & proposed system The objective: is to develop a decision support system for operation and maintenance activities of offshore wind farms, in order to minimize costs of kwh from offshore wind. System components: 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 (Delft-FEWS) 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.

4 Introduction to offshore wind Source: Offshore Prinses Amaliawindpark Operational conditions: Maximum wave height ~1.5m?

5 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)

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

7 Forecasting system Forecasting parameters: e.g. wave, water level, current Delft3D-FLOW & SWAN Detailed model (resolution of 20 50m) Output at each wind turbine Bed topography (including sand waves) Boundaries from existing operational models setup at Deltares

8 Forecasting system: Marine bedforms North Sea Bed Topography NCP sandbanks wind farm sandwaves

9 Pilot wind park The Prinses Amaliawindpark is located 23 kilometer offshore of IJmuiden, (block Q7 of the Dutch Continental Flat. Windturbines:60 Vestas V80 windturbines of 2 MW Waterdepth:19-24 meter Source: Offshore Prinses Amaliawindpark

10 Forecasting system: North Sea RWSOS

11 Forecasting system: North Sea RWSOS G2 The SWAN model exists of a large G1 grid, and a more detailed nested grid G2. G1 computes the boundary conditions for G2 detail uit G2: ca.5 km

12 Forecasting system: North Sea RWSOS Calibration:

13 Meteo Dashboard forecasts overall model (DCSM, ECMWF) offshore measurements (ADCP, AWAC, Radar) models Automated data error corrections Detailed calibrated Wind Park model Data assimilation Operational Forecasting System validated measurements detailed forecasts Data Base Model Application Tool models Weather windows Scour predictor other Meteo Dashboard? web interface

14 forecasts overall model (DCSM, ECMWF) offshore measurements (ADCP, AWAC, Radar) Delft-FEWS (data handling & forecasting process) Operational Forecasting System Data Base Model Application Tool Dashboard

15 Output 48-hours forecast of wave parameters (H s, H max, T p, T m, Dir), water level and current for each turbine location in the OWF 48-hours forecast of wind parameters Save of measurement data in database Save of 0-hours forecasting (per turbine) in database Determination of weather windows (based on criteria) Presentation of measurements and forecasting at Dashboard (app) Presentation of weather windows at Dashboard (app) Client-server software system, installed at the OWF organisation Support of Delft-FEWS

16 Forecasting system - approach Task FS.1: kick-off and data collection Task FS.2: formalize use of external data Task FS.3: setup of detailed model covering the OWF Task FS.4: operational boundary conditions Task FS.5: model validation Task FS.6: data assimilation Task FS.7: reporting

17 Meteo Dashboard study task Task MD.1: functional and technical design Task MD.2: basic FEWS setup Task MD.3: system configuration Task MD.4: system integration & testing Task MD.5: workshop (partners) Task MD.6: reporting (User Manual & Technical Report) Task MD.7: finalisation (system & reports) Task MD.8: system optimisation and support Task MD.9: post-completion evaluation

18 Research questions which hydrodynamic parameters are required? what information should be presented in the Dashboard? what output will be required to smartphones (as app)? what is the preferred sampling/storage interval? what data sources can be used for forecasting? is detailed modelling adding value to forecasts in wind farm? is output at each wind turbine required? can the forecasts be further optimised using data-assimilation? in what way can accuracy estimates of the forecasts be used in the decision making process? will the stored data provide a reliable source of data for fatigue analysis of individual wind turbines?

19 Planning Meteo Dashboard Q7 weeks months after installation at PAWP Forecasting System FS.1 Kick-off and data collection FS.2 Formalise use of external data FS.3 Setup of detailed Q7 model FS.4 Operational boundary conditions FS.5 Model validation FS.6 Reporting dfmr FMR Meteo Dashboard (Delft-FEWS) MD.1 Functional and technical design fdfr DFR Partner meeting MD.2 Basic FEWS setup MD.3 System configuration MD.4 System integration & testing MD.5 Workshop MD.6 Reporting MD.7 Finalisation MD.8 System optimisation and support MD.9 Post-completion evaluation dum/dtbr UM/TBR

20 Research questions Questions?

21 Examples of Delft-FEWS interfaces

22 Forecasting system: North Sea DCSMv6 DCSMv6 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

23 Forecasting system: North Sea RWSOS

24 Meteo Dashboard Operational Forecasting System Data Base Model Application Tool Dashboard

25 2. Meteo Dashboard Integrated software system Based on Delft-FEWS (client server systeem) Dynamic link between the forecasting models database model applications dashboard Distribution of information

26 Meteo Dashboard Geintegreerd software systeem Gebasseerd op Delft-FEWS (client server systeem) Dynamische link tussen forecasting modellen database model applicaties dashboard Optimaliseren ontwerp Dashboard

27 North Sea wind: HIRLAM11-v7.2 golfrandvoorwaarden: ECMWF (WAM-model) waterstand: DCSMv6 (later ook ZUNOv4) stroming: - (later ZUNOv4) bodem: DCSMv6 / ZUNOv4