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

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Page 1: Solar Resource Mapping in South Africa Mapping SA-1... · 27.03.2009 · Solar Resource Mapping in South Africa Stellenbosch, 27 March 2009 ... Campbell-Stokes recorder • Most common

Solar Resource Mapping in South Africa

Stellenbosch, 27 March 2009

Tom Fluri

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Outline

• The Sun and Solar Radiation

• Datasets for various technologies

• Tools for Solar Resource Mapping

• Maps for South Africa

• Example of a Potential Assessment

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Page 4: Solar Resource Mapping in South Africa Mapping SA-1... · 27.03.2009 · Solar Resource Mapping in South Africa Stellenbosch, 27 March 2009 ... Campbell-Stokes recorder • Most common

THE SUN

• Distance from earth: 150 x 106 km

• Diameter: 1.39 x 106 km

• Surface temperature: ~5500°C

• Age: around 4.6 billion years

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Effects of the atmosphere on solar radiation

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IRUV

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© Newport

AM: Air Mass index

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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

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• Fixed PV• Solar water heaters

Latitude tilt irradiationLTI

• Horizontal collectors• (Agriculture)

Global horizontal irradiationGHI

• Concentrating Solar Thermal Power• Concentrating PV• Tracking PV

Direct normal irradiationDNI

ApplicationsSchematicCategory

Radiation data for solar energy technologies

Global irradiation = Direct irradiation + Diffuse irradiation

Page 10: Solar Resource Mapping in South Africa Mapping SA-1... · 27.03.2009 · Solar Resource Mapping in South Africa Stellenbosch, 27 March 2009 ... Campbell-Stokes recorder • Most common

Ground Measurements

Campbell-Stokes recorder

• Most common device

• Simple

• Only records sunshine hours

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Solar radiation sensors

Global radiation

Pyranometer

• Thermopile

• Accuracy ±3% (daily sums)

• Slow response (>15s)

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Solar radiation sensors

Diffuse radiation

• Either tracker or shadowring required

• Tracker is expensive

• Use of shadowring necessitates correction function

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Solar radiation sensors

Direct radiation

Pyrheliometer

• Best accuracy for direct radiation measurements

• Shorter response time (5s)

• Tracker is expensive

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with solar radiation measurement

without solar radiation measurement

Weather Stations in Different Regions

Southern Africa

USA(South West)

Europe (South West)

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March 270 6 12 18 24

0

200

400

600

800

1,000

Dir

ect

No

rmal

Rad

iati

on

(W

/m²)

Upington (1995)Global Horizontal RadiationDirect Normal RadiationDiffuse Horizontal Radiation

March 280 6 12 18 24

Global Horizontal RadiationDirect Normal RadiationDiffuse Horizontal Radiation

Example for hourly data

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Ground Measurements

• Most accurate option

• Expensive

• High maintenance

• Time consuming

• Few stations in South Africa

Summary

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Satellite derived data

bbb

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DLR

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)

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C. Schillings (2004)

Satellite derived dataMethod

Ozone

Air Molecules

Clouds

Aerosoles

Water Vapour

Irradiation on the ground

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Satellite derived data

Example

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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

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Solar Maps for SABased 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)

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Upington, Northern Cape

0123456789

10

0 1 2 3 4 5 6 7 8 9 10 11 12 13MonthD

irect

no

rmal

sol

ar ir

radi

atio

n, k

Wh/

m2/

d

SWERANASA

Comparison of Data Sets

Carnarvon, Northern Cape

0

2

4

6

8

10

12

0 1 2 3 4 5 6 7 8 9 10 11 12 13MonthD

irect

nor

mal

so

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rrad

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SWERANASA

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Example Application – Potential Assessment for Concentrating Solar Power in SA

VegetationSolar radiation

Exclusion Criteria:

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Example Application – Potential Assessment for Concentrating Solar Power in SA

Slope Proximity to Transmission

Exclusion Criteria:

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Example Application – Potential Assessment for Concentrating Solar Power in SA

Results:

Detailed map available at www.crses.sun.ac.za

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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

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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

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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