dsd-nl 2015, delft-fews gebruikersdag, 3 meteo dashboard dss offshore wind farms
TRANSCRIPT
“Life is all about energy, renewable energy…” Jan-Joost Schouten
23 juni 2015
23 juni 2015
Meteo Dashboard a decision support system for planning operation and maintenance activities @ offshore wind farms
P201406 001 DEL - Meteo Dashboard Validation Phase Delft-FEWS Gebruikersdag, Deltares
FLOW Programme
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Introduction to offshore wind
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Introduction to offshore wind
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Offshore Wind Farm Concessions in the North Sea
Source: 4COffshore.com
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)
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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 2012.” 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)
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Introduction to offshore wind
Operational conditions: Maximum wave height ~1.5m?
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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: Tromp Binnen, concession of RWE Current project: RWE’s offshore wind farms in the Irish Sea
June 23, 2015
Meteo Dashboard
Automated data error corrections
Database
offshore measurements (metmast, ADCP, lidar)
forecasts overall model (DCSM, ECMWF)
Detailed calibrated Wind Park model
Data assimilation & Uncertainty bands
Operational Forecasting
System
Weather windows
other …
p.e. Scour predictor
Model Application
Tool
models… models…
Web interface
validated measurements
Meteo Dashboard
detailed forecasts
Meteo Dashboard Ierse Zee
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RWE’s offshore wind Farm in the North Sea: •Rhyl Flats •North Hoyle •Gwynt y Môr
Components and work in progress
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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
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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 10th line plotted
Hydrodynamica
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DCSM grid - Delft3D FM - Distance net nodes:
1500 m – 80 m (near windparks)
Bedlevel
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North Hoyle
Gwynt y Mor
Rhyl Flats
Bedlevel
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Measurements RWE - 2 to 10 m resolution
Hydrodynamica results
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GyM waveradar: - RMSE = 0.19m
Wave model
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TIS grid - SWAN - Size grid cells: 2800 m
Wave results
Wave rider at GyM
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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
Meteodashboard: measurements & data
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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
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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) thick-client 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.
MeteoDashboard RWE
Live demo
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Windpark, parameter and turbine selection
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Viewing measured and forecast time series
Live demo
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Showing different parameters
Live demo
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Summary reports
Live demo
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Operational tab
Mention times for morning, afternoon, etc
Operational tab, O&M possible
Mention times for morning, afternoon, etc
Operational tab, O&M not possible
Mention times for morning, afternoon, etc
Operational tab, around O&M threshold
Mention times for morning, afternoon, etc
Correction methods
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Uncertainty info
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Methodology can easily be extended
Example of a similar MeteoDashboard for Borssele wind farm:
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FEWS offshore – the way forward!
23 juni 2015
FEWS offshore – the way forward!
23 juni 2015
