Wind Resource Estimation Using Data in the Public Domain

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Wind Asset Estimation U sing D ata in the P ublic D omain. Bunch 3 Alex Thomson Arnaud Et

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Wind Resource Estimation U sing D ata in the P ublic D omain Group 3 Alex Thomson Arnaud Eté Isabel Reig Montané Stratos Papamichal e s

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Academic Supervisor: - Dr Nick Kelly Contacts at SgurrEnergy: - Richard Boddington - Neil Doherty - Jenny Longworth

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Plan for the Presentation Brief portrayal of key foundation focuses. Preparing of the crude information. Depiction of the strategy. Portrayal of the displaying programming WAsP. Application in Scotland/Validation of the outcomes. Contextual analyses in India/Results. Vulnerability of the wind asset forecast. Conclusion.

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Novelty of our Project Current strategy for wind estimation: Site overview. Meteorological pole raised for no less than 12 months (amongst £15,000 and £22,000 in the UK ) . C orrelat particle with long haul information from an adjacent meteorolog ical station. It's not generally conceivable to set up a pole and have a close-by climate station. N ovelty of o ur p roject : make a model to foresee twist asset in any given area b y utilizing reanalysis information , topographic maps and Google Earth (all uninhibitedly accessible on Internet) ,

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Aims of our Project E stablish a system to assess the twist asset of any webpage. Test the similarity between the reanalysis information and the displaying apparatus WAsP. V erif y the exactness of this strategy by applying it to surely understood site s in the UK before utilizing it to distinguish a couple of good locales in India. Figure out if the procedure is appropriate to gauge the twist asset of a site as a substitute to site review and erection of meterological pole.

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The Reanalysis Project J oint extend between the NCEP and the NCAR. Extend made to reanalyse chronicled barometrical information . Point was to b uild a Climate Data Assimilation Syste m. The perceptions incorporate : B alloon soundings, S urface marine information , An ircraft information , S atellite estimations. These are all genuine perceptions, not yield from a numerical model. Information accessible from 1948 to the present. Second enhanced form from 197 9 onwards. Utilization of 27 years of reanalysis information in this venture.

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The Shuttle Radar Topography Mission J oint extend between the National Geospatial Intelligence and the National Aeronautics and Space Administration (NASA) . P roduc ed advanced topographic information of the Earth's property surface (in the vicinity of 60ºN and 56ºS scope). D ata focuses found each 3-circular segment second on a scope/longitude matrix . Design contradictory with WAsP. Required a few adjustments.

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Google Earth Provides fantastic satellite symbolism. Covers the whole globe. Utilized as a part of this venture to distinguish landscape attributes.

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Data Processing

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West to East and South to North parts of the wind gathered at regular intervals (4x day by day) Reanalysis Data Processing

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Topographical Maps: from SRTM Data to WAsP Maps SRTM information acquired from the NASA Website contrary with WAsP and can't be straightforwardly utilized: arranges changed from scope/longitude matrix to UTM organizes. crude information handled into a shape delineate.

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Simulation with WAsP

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How WAsP Works WAsP figures a Wind Atlas (geostrophic wind) utilizing the twist information of a reference site and considering the landscape harshness, forms and obstructions of the site. The Wind Atlas is exchanged to the potential turbine site (considered as delegate for both locales). WAsP produces the twist atmosphere of the potential site considering the landscape conditions at the site. Outline taken from WAsP site

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The Methodology

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Case Sites in the UK

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Case Sites in the UK 3 wind ranches: Dun Law Hagshaw Elliots Hill 6 meteorological poles: Dounr e ay Beinn Tharsuinn (3) Coldham Kentish Flats

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Correlation amongst Measured and Reanalysis Data

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Example of Dun Law

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Results

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Additional Errors to Consider The turbine accessibility : ostensible loss of 3% . Control bend thickness amendment: Dun Law: - 2% Hagshaw: - 2% Elliots Hill: - 1% Power bend execution : ostensible loss of 0.83% . Wind hyster e sister : loss of 0% - 0.5%. Cutting edge defilement : ostensible loss of 0.5% . Add up to extra misfortunes ≈ 7%

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Discussion It is evident that the presentation of the harshness assess significantly affects the model. Harshness gauge (from Google Earth) gives a more precise expectation. Comes about for the wind homesteads are inside 15% of the real power delivered (inside 10% utilizing 27 years of reanalysis information). The outcomes seem sufficient to legitimize a use of the system in India with a specific end goal to get a first estimate of the twist asset of the destinations.

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Case Sites in India

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Gujarat Tamil-Nadu

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Gujarat 1 Elements to Consider in Locating the Turbines The power thickness delineate. The «isoslope maps»: the most extreme slant to construct a turbine is 10°. The limit component of the ranch.

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Results and Performance of the Wind Farms > 30%: great > 25%: alright < 25%: poor

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Estimation of the Energy Production

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Uncertainty of the Wind Prediction

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Sources of Error in the Wind Prediction Reanalysis information Topographical maps Prediction by WAsP

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Accuracy of WAsP Prediction The conditions to satisfy to acquire a precise forecasts utilizing WAsP are: The entire region is plainly subject to a similar climate administration . T he winning climate conditions are near being impartially steady . T he encompassing geography is adequately delicate and smooth to guarantee that streams remain connected and that extensive scale landscape impacts, for example, directing are insignificant . A decent nature of information. A p roper utilization of the WAsP program .

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Factors A ffecting the P rediction P rocess Atmospheric C onditions Orography Weibull F requency D istribution Wind D irection

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Project Outputs General approach: utilization of freely accessible information with PC demonstrating device. Calculation for changing reanalysis information into WAsP organize. Setup of WAsP to utilize reanalysis information. Approach approval handle. Mistake estimation of the technique. Site choice process.

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The Methodology Summed Up

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Conclusion After preparing, reanalysis and SRTM information can be utilized with WAsP. The reanalysis information seems, by all accounts, to be reasonable to gauge the twist asset of any given site. The outcomes for our case locales in the UK remain inside 10% of the genuine vitality created utilizing 27 years of reanalysis information. In any case, the system was just approved on 2 locales. Additionally learns at various locales ought to be done to affirm the appropriateness of the system.

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Questions ?

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