Assessment of the Sustainable Offshore Wind Potential in Portugal
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Transcript of Assessment of the Sustainable Offshore Wind Potential in Portugal
Assessment of the SustainableAssessment of the Sustainable
Offshore Wind Potential in PortugalOffshore Wind Potential in Portugal
Paulo Costa , Teresa Simões , Ana Estanqueiro
OWEMES, CIVITAVECCHIA (ROME) 20-22 April 2006
INSTITUTO NACIONAL DE ENGENHARIA, TECNOLOGIA E INOVAÇÃO
Departamento de Energias RenováveisUnidade de Energia Eólica e dos [email protected]
[email protected]@ineti.pt
1- Main objective and rule
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Objective:To identify coastal regions in Portugal with sustainability indicators for wind potential offshore development
Main RuleHelp developers to plan offshore wind parks along coastal areas taking into account the economic and technical feasibility of the project subjected to the following factors:
Distance to coast less than 15km;Sea depth less than 40m;A gently slope between bathymetry 20 and 40m; Good resource assessment available;Close to the available electric grid connections.
Main objective and rule
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2- Offshore assessment and methodology
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Offshore assessment and methodology
A reasonable wind potential assessment was made by making a high resolution (3X3km) long term simulation with the popular MM5 atmospheric mesoscale model;
A set of a full one year of Reanalysis data (at intervals of 6h) from NCAR’s Mass Storage Systems ingested to MM5;
Simulate the power output field (h/year) for two turbine models: GEWE 1500SL (rotor with 60m height) and VESTAS V80 (80m height);
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Offshore assessment and methodology
Inter annual variability applied to simulated wind and power fields computed with help of 4 anemometric long term stations located in mainland Portugal;
Digitized bathymetric lines up to 40m depth;
Use spatial operations available in GIS (Geographic Information Systems) software to obtain favorable areas.
3- Set of numerical simulations
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Set of numerical simulations
Four one-way nested domains with resolutions of 81km 27km 9km and 3km
High resolution MM5 domain (3X3km) used for offshore assessment
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Set of numerical simulations
Parameterization schemes previously selected by making a couple of control simulations in order to minimize the differences between observed and simulated wind speed and direction values:
Gayno-Seaman (PBL);
RRTM (radiation);
GRELL (cumulus);
SIMPLE ICE (microphysics);
NOAH (soil model);
Selectednumericalschemes
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Set of numerical simulations
INETI’s long term wind stations used in this work for validation purposes and to compute intra annual variability
4- Some numerical results
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Some numerical results
Simulated number of hours at full capacity for two turbine models
GEWE 1.50 SL 1500 kWH=60m
VESTAS V80 2000 kWH=80m
Intra annual variabilityaccounted
MM5(3X3km)
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Some numerical results
Power curves used in MM5simulations for each turbine model
Resolution (3X3km)
5- GIS operations
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GIS operations
Some spatial GIS operations was used to make a “simple” query taking into account the following factors:
Distance to coast below 15km;
Sea bathymetry lower than 40m;
A gently slope between 20 and 40m depths;
“acceptable” wind resource (number of hours at full capacity great than 2300h/year);
Proximity to the network with available grid connection capacity.
6- GIS results
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GEWE 1.50 SL 1500 kWH=60m
VESTAS V80 2000 kWH=80m
GIS results
Six favourable areas were identifiedfor eachturbinemodel.
Areas A,B,C to F(capital letters)
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Espinho/Porto
Figueira da Foz
Berlengas/Peniche
Estuário do Tejo/Caparica/Tróia
Bordeira Portimão/Albufeira
Vila Real de Sto António
GIS resultsA “zoom” for
each selected area
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GIS results
Query results obtained for each selected area
7- Concluding remarks
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Concluding remarks
Unlike previous common public opinions, the preliminary results of this work enhance some interesting areas for developing offshore wind parks in Portugal
Therefore, a more sophisticated study must be realized in order to deal with the presence of navigation channels, bridges and other hydro-dynamical estuarine phenomena.
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Some estuarine regions (e.g. Tagus estuary) reveal good acceptance values
Concluding remarks
Results here presented aimed INETI to start a special monitoring campaign in the Peniche to Lisbon region in order to validate the results near west coast of Portugal – best resource assessment available
FINAL
A set of high resolution numerical simulations are being prepared by INETI involving microscale and mesoscale models to produce a rigorous and highly accurate assessment for offshore wind power in Portugal
Berlengas/Peniche
Thank you!