Use of Satellite Data in ATLAEOLICO AND TRITONE WEBGIS TOOLS

Transcription

1 Roma, 30th June 2014 Use of Satellite Data in ATLAEOLICO AND TRITONE WEBGIS TOOLS E. Lembo, L. Serri Prot. RSE

2 Contents Wind Atlas of Italy Calibration of the offshore wind maps On the spot calibration: Pianosa Island case of study On the spot calibration: methodology On the spot calibration: Pianosa site long term mean wind speed evaluation 2

3 ATLAEOLICO WebGIS Homepage 3

4 Building process: calculated maps KM spatial resolution University of Genoa WINDS model (mass consistent) Wind field in 24 «geographical areas» 200x200 km 2. 4

5 Building process: calculated maps Annual mean speed 50 m a.g.l./a.s.l

6 Building process: calculated maps Annual mean speed 50 m a.g.l./a.s.l Distance from shore: 40 km 6

7 Building process: calculated maps Annual mean speed 50 m a.g.l./a.s.l Kriging interpolation 7

8 Building process: onshore calibration Around 500 measuring stations considered 240 used in the calibration phase (full circles) ENEL CESI ENEA Aeronautica Mil. Reti Regionali Others 8

9 Building process: offshore calibration Fonts: data from buoys (very few) data from ships (not systematic and local on routes) data from offshore platforms (not always accessible, not uniforms, only in Adriatic sea) satellite data (indirect measuremernt, high uncertainty) LACK OK AFFORDABLE SYSTEMATIC DATA Other methods: simulation around small islands (complex orograpphy and sea-land transition) comparison with other atlas 9

10 Characteristics of satellite data indirect measurement based on the backscattered signal from the surface of the sea; calibration process to give 10 m a.s.l. wind speed; typical spatial resolution: 25 o 50 km; typical time resolution: two passes/day ; uncertainty: around 1 m/s in deep waters, around 2 m/s in shallow waters, probably higher in closed basins and close to the coast 10

11 Used satellite data Nasa QuikSCAT satellite: WEB download Period: Map obtained by linear interpolation (data with numerosity greater than 50 %) Very few points inside the 40 km offshore buffer 11

12 Building process: offshore calibration Mixed information Offshore calibration 10 m a.s.l. 0,3 0,4 0,4 0,5 0,5 0,6 0,6 0,7 0,7 0,8 0,8 0,9 0,9 1,0 12

13 Wind speed maps m/s Uncertainty not lower than 2 m/s 13

14 On the spot calibration: Pianosa Island case of study 14

15 On the spot calibration: Pianosa Island case of study 15

16 On the spot calibration: Pianosa Island case of study 16

17 On the spot calibration: Pianosa Island case of study Pianosa met station Reference site 2 (QuikSCAT point) Need of long term mean wind speed evaluation in order to better assess Atlas wind speed values Correlation studies Reference site 1 Termoli station 17

18 On the spot calibration: methodology Before applying the methodology for the long term prediction related to Pianosa island, the same has been verified in six different sites of North America for the availability of measurements useful for this purpose. The sites are included in the following marine area: AREA_NW: marine area located near the coast of State of Washington AREA_NE: marine area located near the coast of State of Massachusetts AREA_SW: marine area located near the coast of State of California AREA_SE: marine area located near the coast of State of Florida a)national Data Bouy Center ( NDBC ) b)climatology of Global Ocean Winds (COGOW) 18

19 On the spot calibration: methodology Many years of data (both satellite and buoy data) One year of simultaneous to performe long term evaluation Comparison with measured data Vlp_esa: long-term average annual speed of the examined site Plot of the daily and / or weekly correlation of simultaneous measurements between the examined site and the (coastal or satellite) reference site (rif) Evaluation of the relationship: R 2 and the slope of the regression line through the origin of the correlation plot (R_V) calculation of Va_esa (annual average speed of the examined site) from the data of Va_rif(annual average speed of the site reference) for each year in the period of data availability (Va_esa=R_V * Va_rif) Vlp_esa: average of all Va_esa Site under investigation Type of reference site R 2 (coefficient of determination) Vlp_esa ( a ) Vlp_esa_m ( b ) ABS( b-a ) ( c ) c/a*100 (m/s) (m/s) (m/s) (%) 1 coastal satellite satellite satelite coastal coastal Average values Results of the preliminary analysis

20 Pianosa long term mean wind speed estimation: coastal site and satellite data correlation Termoli Station S.M.A.M. Pianosa wind speed (m/s) y = x R² = Daily simultaneous data Wind speed ref site 1(m/s) Sito in esame Pianosa wind speed (m/s) y = x R² = Daily simultaneous data Wind speed ref site 2(m/s) Lat N Lon E NASA QUIKScat Satellite Refsite 1 Weekly simultaneous data Weekly simultaneous data Refsite 2 Pianosa wind speed (m/s) y = x R² = Wind speed ref site 1 (m/s) Pianosa wind speed (m/s) y = x R² = Wind speed ref site 2 (m/s) 20

21 Pianosa long term mean wind speed estimation: satellite data correlation Annual Profile Y e a r Va_rif (m/s) QUIKscat Va_esa (m/s) Pianosa The overall Pianosa measurement campaign ( ) revealed that the average annual wind speed is between 5.7 and 5.8 m/s. This value shows a very good agreement with the long-term estimation(vlp_esa) performed using satellite data at the end of

22 On the spot calibration: MOBI buoy MOBI buoy: 5 km from the Mazara del Vallo coast Since June

23 TRITONE Offshore Renewable and Spatial Planning Tool 23

24 (S. Ercoli, Indaco Dept., Politecnico di Milano) Thiswork hasbeenfinancedby the Research Fund for the Italian Electrical System under the ContractAgreement between RSE SpA and the Italian Ministry of Economic Development - General Directorate for Nuclear Energy, RenewableEnergy and Energy Efficiency, stipulatedon July29, 2009, in compliancewith the Decreeof November 11,