Solar Resource Mapping in South Africa

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Solar Resource Mapping in South Africa Tom Fluri Stellenbosch, 27 March 2009

Outline The Sun and Solar Radiation Datasets for various technologies Tools for Solar Resource Mapping Maps for South Africa Example of a Potential Assessment

THE SUN Distance from earth: 150 x 10 6 km Diameter: 1.39 x 10 6 km Surface temperature: ~5500 C Age: around 4.6 billion years

Effects of the atmosphere on solar radiation

UV IR

AM: Air Mass index Newport

Causes of Variability in Solar Radiation Day/Night Seasons Weather Local Air Pollution Distance Earth-Sun (6.6%) Solar activity (1%) Sun spots Climate Change Global Warming Global dimming El Niño

Radiation data for solar energy technologies Global irradiation = Direct irradiation + Diffuse irradiation Category Direct normal irradiation DNI Schematic Applications Concentrating Solar Thermal Power Concentrating PV Tracking PV Global horizontal irradiation GHI Horizontal collectors (Agriculture) Latitude tilt irradiation LTI Fixed PV Solar water heaters

Ground Measurements Campbell-Stokes recorder Most common device Simple Only records sunshine hours

Solar radiation sensors Global radiation Pyranometer Thermopile Accuracy ±3% (daily sums) Slow response (>15s)

Solar radiation sensors Diffuse radiation Either tracker or shadowring required Tracker is expensive Use of shadowring necessitates correction function

Solar radiation sensors Direct radiation Pyrheliometer Best accuracy for direct radiation measurements Shorter response time (5s) Tracker is expensive

Weather Stations in Different Regions with solar radiation measurement without solar radiation measurement Southern Africa Europe (South West) USA (South West)

Example for hourly data Direct Normal Radiation (W/m²) 1,000 800 600 400 200 Upington (1995) Global Horizontal Radiation Direct Normal Radiation Diffuse Horizontal Radiation Global Horizontal Radiation Direct Normal Radiation Diffuse Horizontal Radiation 0 0 6 12 18 24 0 6 12 18 24 March 27 March 28

Ground Measurements Summary Most accurate option Expensive High maintenance Time consuming Few stations in South Africa

Satellite derived data bbb

Satellite derived data Method Same images as for weather forecast can be used Extensive databases are available Data over longer time periods are available (20 years) DLR

Satellite derived data Method Ozone Air Molecules Aerosoles Clouds Water Vapour Irradiation on the ground C. Schillings (2004)

Satellite derived data Example

Satellite derived data Summary Fairly accurate Break even of accuracy with ground measurement interpolation: 25-50 km Relatively cheap and quick Spatial and temporal resolution high enough for site evaluation Data over longer time periods are available (20 years) Only low resolution datasets have been created for SA

Solar Maps for SA Based on Ground Measurements A solar radiation data handbook for Southern Africa (1990) South African Renewable Energy Resource Database Annual Solar Radiation CSIR, ESKOM, DME (1999) Based on Satellite Data SWERA Solar resource data for Africa (2006) NASA: Surface meteorology and Solar Energy (2008) PVGIS (2007) Based on Satellite Data and Ground Measurements Meteonorm 6.1 (2009)

Comparison of Data Sets 10 9 8 7 6 5 4 3 2 1 0 Upington, Northern Cape SWERA NASA 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month 12 10 8 6 4 2 0 Carnarvon, Northern Cape SWERA NASA 0 1 2 3 4 5 6 7 8 9 10 11 12 13 Month Direct normal solar irradiation, kwh/m2/d Direct normal solar irradiation, kwh/m2/d

Example Application Potential Assessment for Concentrating Solar Power in SA Exclusion Criteria: Solar radiation Vegetation

Example Application Potential Assessment for Concentrating Solar Power in SA Exclusion Criteria: Slope Proximity to Transmission

Example Application Potential Assessment for Concentrating Solar Power in SA Results: Detailed map available at www.crses.sun.ac.za

Recommendation to Developers Small installations Use various datasets Track new releases Measure solar radiation Large installations Use available datasets to detect priority areas Order higher resolution data for promising sites Measure on most promising sites

Conclusions Several solar resource maps are available for SA Accuracy and resolution of publicly available data could be improved Satellite derived data present a good option to improve the quality of the available data More ground measurements are necessary

Conclusions Several solar resource maps are available for SA Accuracy and resolution of publicly available data could be improved Satellite derived data present a good option to improve the quality of the available data More ground measurements are necessary Tom Fluri