Assessment of the Sustainable Offshore Wind Potential in Portugal Offshore Wind Potential in Portugal Paulo Costa, Teresa Simões, Ana Estanqueiro OWEMES, CIVITAVECCHIA (ROME) April 2006 INSTITUTO NACIONAL DE ENGENHARIA, TECNOLOGIA E INOVAÇÃO Departamento de Energias Renováveis Unidade de Energia Eólica e dos Oceanos

1- Main objective and rule slide 2 of 22

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. Main objective and rule slide 3 of 22

2- Offshore assessment and methodology slide 4 of 22

slide 5 of 22 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);

slide 6 of 22 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 slide 7 of 22

slide 8 of 22 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

slide 9 of 22 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); Select ed numeri cal schem es

slide 10 of 22 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 slide 11 of 22

slide 12 of 22 Some numerical results Simulated number of hours at full capacity for two turbine models GEWE 1.50 SL 1500 kW H=60m VESTAS V kW H=80m Intra annual variabilit y account ed MM5 (3X3km)

slide 13 of 22 Some numerical results Power curves used in MM5 simulatio ns for each turbine model Resolution (3X3km)

5- GIS operations slide 14 of 22

slide 15 of 22 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 slide 16 of 22

slide 17 of 22 GEWE 1.50 SL 1500 kW H=60m VESTAS V kW H=80m GIS results Six favourabl e areas were identified for each turbine model. Areas A,B,C to F (capital letters)

slide 18 of 22 Espinho/ Porto Figueira da Foz Berlengas/Peniche Estuário do Tejo/Caparica/ Tróia Bordeira Portimão/Albufeira Vila Real de Sto António GIS results A “zoom” for each selected area

slide 19 of 22 GIS results Query results obtained for each selected area

7- Concluding remarks slide 20 of 22

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. slide 21 of 22 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!