projecto PPEPP

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Assessment of the Sustainable Offshore Wind
Potential in Portugal
Paulo Costa , Teresa Simões , Ana Estanqueiro
OWEMES, CIVITAVECCHIA (ROME) 20-22 April 2006
Departamento de Energias Renováveis Unidade de
Energia Eólica e dos Oceanos
paulo.costa_at_ineti.pt teresa.simoes_at_ineti.pt ana.es
tanqueiro_at_ineti.pt
INSTITUTO NACIONAL DE ENGENHARIA, TECNOLOGIA E
INOVAÇÃO
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1- Main objective and rule
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Main objective and rule

• Objective
• To identify coastal regions in Portugal with
  sustainability indicators for wind potential
  offshore development
• Main Rule
• Help 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.

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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 NCARs 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.

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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)

• Selected
• numerical
• schemes

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Set of numerical simulations
INETIs long term wind stations used in this work
for validation purposes and to compute intra
annual variability
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4- Some numerical results
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Some numerical results
Simulated number of hours at full capacity for
two turbine models
MM5 (3X3km)
Intra annual variability accounted
GEWE 1.50 SL 1500 kW H60m
VESTAS V80 2000 kW H80m
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Some numerical results
Power curves used in MM5 simulations for each
turbine model
Resolution (3X3km)
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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.

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6- GIS results
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GIS results
Six favourable areas were identified for
each turbine model.
Areas A,B,C to F (capital letters)
GEWE 1.50 SL 1500 kW H60m
VESTAS V80 2000 kW H80m
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GIS results
A zoom for each selected area
Figueira da Foz
Espinho/Porto
Berlengas/Peniche
Portimão/Albufeira
Bordeira
Estuário do Tejo/Caparica/Tróia
Vila Real de Sto António
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GIS results
Query results obtained for each selected area
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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
Some estuarine regions (e.g. Tagus estuary)
reveal good acceptance values
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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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
Berlengas/Peniche
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
FINAL
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Thank you!