Hahmann, Andrea N.

Hansen, Jens Carsten

Mabille, Eugéne

Mortensen, Niels Gylling

Prinsloo, Eric

Online Research Database In Technology

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Downloaded from orbit.dtu.dk on: Aug 03, 2018Application for planning purposes: Interim High-Resolution Wind Resource Map forStrategic Environmental Assessment in South AfricaMortensen, Niels Gylling; Hahmann, Andrea  N.; Hansen, Jens Carsten; Mabille, Eugéne; Prinsloo, EricPublication date:2018Document VersionPeer reviewed versionLink back to DTU OrbitCitation (APA):Mortensen, N. G., Hahmann, A. N., Hansen, J. C., Mabille, E., & Prinsloo, E. (2018). Application for planningpurposes: Interim High-Resolution Wind Resource Map for Strategic Environmental Assessment in South Africa[Sound/Visual production (digital)]. WASA 2 Mid-term Workshop, Cape Town, South Africa, 20/06/2018WASA 2 Application for planning purposes:Interim High-Resolution Wind Resource Map for Strategic Environmental Assessment in South AfricaNiels G Mortensen, Andrea N Hahmann & Jens Carsten HansenDTU Wind EnergyEugéne Mabille and Eric PrinslooCSIRWASA 2 Mid-term WorkshopCape Town, South AfricaDTU Wind Energy and CSIRUpdated wind resource mapping methodology• Frogfoot implementation of WAsP– Database of wind climates– Database of elevation maps– Database of roughness maps• Principle of operation– Batch mode operation– Distributed computing– Wind atlas interpolation to every prediction site.– Results in MySQL database– Export to GIS formats• WAsP 11 standard modelling– Industry-standard model– Linearized IBZ flow model– Default parametersWASA Mid-term Workshop2 June 2018DTU Wind Energy and CSIRAvailable input data for modelling• Validated Numerical Wind Atlas– WRF mesoscale model– Virtual mast for every 3/5 km– WASA 1 domain: 3 km– All of South Africa: 5 km• Elevation– 100-m elevation grid from space shuttle Endeavour (SRTM+, NASA version 3).• Land cover– 300-m land cover grid derived from ESA GlobCover 2009.– Transformation table for z0WASA Mid-term Workshop3 June 2018DTU Wind Energy and CSIRWRF 5-km simulated windsWASA Mid-term Workshop4 June 2018DTU Wind Energy and CSIRSouth Africa wind speed @ 100 mWASA Mid-term Workshop5 June 2018DTU Wind Energy and CSIRSouth Africa power density @ 100 mWASA Mid-term Workshop6 June 2018DTU Wind Energy and CSIRWRF 3-km simulated windsWASA Mid-term Workshop7 June 2018DTU Wind Energy and CSIRWASA1 wind speed @ 100 mWASA Mid-term Workshop8 June 2018DTU Wind Energy and CSIRWASA1 power density @ 100 mWASA Mid-term Workshop9 June 2018DTU Wind Energy and CSIRInterim High-Resolution Wind Resource MapDetailed wind resource maps– 250×250 m grid results– Modelling resolution ∼1 m– 50, 100 and 200 m a.g.l.– ArcGIS ASC output format• Mean wind speed U– 10 min average in [ms−1]• Mean power density P– 10 min average in [Wm−2]– Site-specific air density• Elevation z– Meters above sea level [m]• Ruggedness index RIX– WAsP standard parametersWASA Mid-term Workshop10 June 2018Database of wind climates• For each province– 250×250 m grid results– 50, 100 and 200 m a.g.l.– Sector-wise results (×12) – ASCII TXT output format• For each site, height and sector– Weibull A parameter [ms−1]– Weibull k parameter– Frequencies of occurrence• Data for calculation of– Specific power density– Wind turbine energy yield– Wind turbine capacity factor– and much more…DTU Wind Energy and CSIRMetadata documents for wind resource data sets• Metadata for data sets– Data set specifications– Data provider– Contact information• Data set parameters• Coordinate system• Technology (models & data)• Detailed notes– Purpose– Methodology– Limitations– Available documentation– Acknowledgements– Disclaimer– Four maps of U, P, z and RIXWASA Mid-term Workshop11 June 2018• Limitations– Operational envelope of WAsP– Validated numerical wind atlas(WRF mesoscale model)– Input topographical data– Complex terrain (RIX > 5%)– Built-up areas– Forested areasThe wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available.DTU Wind Energy and CSIRMetadata documents for wind resource data sets• Metadata for data sets– Data set specifications– Data provider– Contact information• Data set parameters• Coordinate system• Technology (models & data)• Detailed notes– Purpose– Methodology– Limitations– Available documentation– Acknowledgements– Disclaimer– Four maps of U, P, z and RIXWASA Mid-term Workshop12 June 2018• Limitations– Operational envelope of WAsP– Validated numerical wind atlas(WRF mesoscale model)– Input topographical data– Complex terrain (RIX > 5%)– Built-up areas– Forested areasThe wind resource maps are subject to change without notice if and when more accurate and reliable data, models and procedures become available.DTU Wind Energy and CSIRValidation at WASA 1 and 2 mastsWASA Mid-term Workshop13 June 2018DTU Wind Energy and CSIRDEA National Wind and Solar PV SEAs (Phase 1)WASA Mid-term Workshop14 June 2018DTU Wind Energy and CSIRWASA data used to identify Wind Technical Areasto inform the Phase 2 Strategic Environmental Assessment for wind and solar energyWASA Mid-term Workshop15 June 2018DTU Wind Energy and CSIRWind farm planning and development (caution!)• Identification and ranking of potential wind farm sites.• Initial analyses and design• Project planning• Pre-feasibility studies– Resource assessment– Some site assessment• Design of measurement campaign– Number of masts– Siting of masts– Orientation of sensor booms– Mounting of lightning rod and navigation lights.WASA Mid-term Workshop16 June 2018DTU Wind Energy and CSIRSummary and conclusions• Wind resources in South Africa– Large-scale: ∼1.22 mio. km2– High-resolution: 250-m grids– Results in public domain• Data sets available– Detailed wind resource maps– Database of wind climates– Three heights at every site• Data sets specifically developed for– Strategic Environmental Assessment (SEA)– WF planning and development• Validation and QA in progress– Software development phase– Comparisons at WASA masts• Preliminary validation of WASA1 (3-km) to WASA2 (5-km):– Mean absolute percentage error (MAPE) decreases 15%– Spread decreases by 40%– Bias is almost 0%!• WASA 2 and 3 focus areas– Land cover data & modelling– Long-term extrapolation– Atmospheric stability– Adaptation of modelling– Uncertainty modelling• WASA 2 ends by end of 2018– 3-km mesoscale modelling– Updated data and reportsWASA Mid-term Workshop17 June 2018DTU Wind Energy and CSIRAcknowledgementsThe Wind Atlas for South Africa (WASA) project is an initiative of the South African Government – Department of Energy (DoE) – and the project is co-funded by• GEF through South African Wind Energy Programme• Danish Support to RE Development in the RSAWASA Project Steering Committee: DoE (chair), DEA, DST, UNDP, Danish Embassy, SANEDIWASA Mid-term Workshop18 June 2018DTU Wind Energy and CSIRFurther informationSANEDIDr Thembakazi MaliSenior ManagerClean Energy Solutionsthembakazim@sanedi.org.zaDepartment of EnergyNoma QaseDirector Renewable Energynoma.qase@energy.gov.zaTechnical enquiriesAndre OttoSANEDI (consultant)andreotto@afrihost.co.zaSANEDI WASA sitewww.wasaproject.infoCSIR Onlinewww.wasa.csir.co.zaWASA download sitewasadata.csir.co.za/wasa1WASA Mid-term Workshop19 June 2018DTU Wind Energy and CSIRResults folder – available filesWASA Mid-term Workshop20 June 2018DTU Wind Energy and CSIRDatabase folder – available filesWASA Mid-term Workshop21 June 2018

Application for planning purposes: Interim High-Resolution Wind Resource Map for Strategic Environmental Assessment in South Africa

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Application for planning purposes: Interim High-Resolution Wind Resource Map for Strategic Environmental Assessment in South Africa

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