Need to speed up the establishment of certified metocean criteria for structural design and operation of offshore wind turbines, substations, and related infrastructure in Northern Europe
Using customisable components to develop a validated, long-term 35-year database of meteorology, hydrodynamics, and waves covering Northern European seas, supplemented by pre-conducted statistical analyses.
Supporting the offshore renewable energy industry
Over the next 5-10 years, a substantial development in offshore wind power is expected in Northern Europe in order to fulfill the European Union’s renewable energy target. In order to reduce costs and increase competitiveness, DONG Energy’s ultimate goal was to establish local certified metocean criteria in less than four months. To do this, they needed to establish metocean conditions for the structural design and operation of offshore wind turbines, substations, and related infrastructure.
For the past several decades, we have continuously developed reliable and accurate data sets for the marine and energy industries – in particular in the seas of Northern Europe. In close collaboration with DONG Energy, we used the expertise gained from developing these data sets to create an extensive, validated, and documented database. The database includes meteorological, oceanographic, and wave data for a 35-year period with hourly values covering Northern European seas.
Database user interface with quick access and export functionality of MetOcean time series and analyses. This image shows a coarse representation of the computational mesh with more than 200,000 elements resolving nearshore areas with 1-3 km elements. ©DHI
The easily accessible, in-house, all-in-one database is supplemented with pre-conducted analyses relevant for planning, operating, and designing offshore wind farms.
Geographical coverage of the database as well as locations of water level and current measurements. ©DHI
Long-term validated metocean data
We established, validated, and documented a robust, accurate, consistent long-term data basis. This was achieved through a combination of:
We adopted the meteorological data from the global Climate Forecast System Reanalysis (CFSR) and validated it for accuracy and consistency in Northern Europe.
Simulations of water level and current conditions were conducted using our MIKE 21 flow model with boundary conditions from our Global Tide model and meteorological forcing from CFSR. The flow model was further optimised using data assimilation – a methodology that applies measurements in order to improve the accuracy of the model.
The third generation wind-wave model (MIKE 21 SW) applied full spectral boundary conditions from our global spectral wave model and wind forcing from CFSR.
We conducted (and documented) comprehensive calibration and validation against data from more than 80 in-situ stations (including spectra comparisons) and satellite altimeter data. The accuracy and reliability of the data was assessed and visualised through numeric quality indicators covering the entire area. A certifying company closely followed the process of establishing and validating the data basis and analyses methodologies.
Analysing normal and extreme conditions
A significant number of analyses detailing the normal and extreme conditions relevant for offshore wind farms were made available at every mesh element (more than 200,000) in the database. This allowed DONG Energy to directly and easily access the analyses as well as extract data time series.
The project areas included the Bay of Biscay, Baltic Sea, English Channel, Irish Sea, North Sea, and off the coast of the Western United Kingdom.
All-in-one database with user interface
Utilising the data above, we developed the MetOcean database using our MIKE Powered by DHI customisable components – more than 10 TB of data was handled by our efficient Mesh Database technology. The database server software was PostgreSQL and data was stored on a network attached storage (NAS) drive. The database features are accessed through a GIS-based user interface. The user interface is flexible and allows direct access and customisation of analyses as well as time series export functionality.
Snapshot of the customisable database user interface with examples of time series and surface maps. ©DHI
Together with DONG Energy, we successfully applied the data for several local wind farm projects during the development of the MetOcean database. In addition, DONG Energy independently extracted data and information from the database for other projects.
In-house CFD model to simulate wave loads
The analyses of more than 300 tests detailing the flow around and the accompanying forces on WTG foundation structures were made available to Ørsted.
Reduction in chemical dosing
As a result of the implementation of biological phosphorus removal, almost complete abatement (99%) of chemical dosing of precipitation is expected.
We also conducted a CFD simulation short-course and provided model predictions of wave-structure interaction. This ensured that Ørsted secured in-house competences for setting up, executing, and analysing model simulations. The experimental tests, CFD simulations, and the shortcourse enabled Ørsted to investigate flow under well -defined conditions. This information helped them understand how present design tools should be adjusted or replaced in order to more accurately predict in-situ loads and support the evaluation of the fatigue design life of foundation structures.
DONG Energy (now Ørsted) develops, constructs and operates offshore and onshore wind farms, solar farms, energy storage facilities, and bioenergy plants, and provides energy products to its customers. Ørsted ranks #1 in Corporate Knights' 2020 index of the Global 100 most sustainable corporations in the world and is recognised on the CDP Climate Change A List as a global leader on climate action.
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