solar energy resource assessment in brazil -...
TRANSCRIPT
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Solar Energy Resource
Assessment in BrazilAssessment in Brazil
Samuel Luna de Abreu
Fernando Ramos Martins
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Summary
• Solar Radiation Mapping of Brazil
– brief review
• measurements - available and future ground data
• first mapping initiatives• first mapping initiatives
– description of the BRAZIL-SR Model
• Outputs of the SWERA project
• Final remarks
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Measured data available
• meteorological stations network from INMET and airports– meteorological observations
– sunshine duration records– sunshine duration records
– cloud cover at synoptical hours
– actinographs
– pyranometers
– long term series
• PCDs network from INPE
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Measured data available
• solarimetric stations supported by individual iniciatives– universities
– utilities
– agriculture research companies
– regional weather services
– characteristics– characteristics
• not standardized
• short term time series
• difficulties to recover
• new networks – BSRN - Baseline Surface Radiation Network
– SONDA - Brazilian Repository System of Environmental Data for the Energy Sector
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• OLADE - first initiative to join data from different
Latin-America countries
• Brazilian Solar Atlas using interpolation
techniques (Tiba, 2000)
Solar Radiation Mapping of Brazil
techniques (Tiba, 2000)
• Model GL (DSA/INPE)
• Model BRASIL-SR
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• “Atlas de Climatologia Solar” (OLADE, 1987) - first initiative to join data from different Latin American countries
– only INMET stations
Solar Radiation Mapping of Brazil
– only INMET stations
– basically insolation data
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• OLADE - first initiative to join data from different
Latin-America countries
• Brazilian Solar Atlas using interpolation
techniques (Tiba, 2000)
Solar Radiation Mapping of Brazil
techniques (Tiba, 2000)
• Model GL (DSA/INPE)
• Model BRASIL-SR
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Solar Radiation Mapping of Brazil
• “Atlas Solarimétrico do Brasil” (Tiba, 2000)
– complete review of the measured data
– maps obtained using interpolation techniques
– monthly average maps of global solar – monthly average maps of global solar
radiation – derived from pyranometers and
actinographs
– monthly average maps of insolation – derived
from sunshine records
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• OLADE - first initiative to join data from different
Latin-America countries
• Brazilian Solar Atlas using interpolation
techniques (Tiba, 2000)
Solar Radiation Mapping of Brazil
techniques (Tiba, 2000)
• Model GL (DSA/INPE)
• Model BRASIL-SR
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Solar Radiation Mapping of Brazil
Model GL
– physical model
– atmospheric aerosol is neglected– atmospheric aerosol is neglected
– two spectral intervals
• visible (0.4 – 0.7 µm)
• infrared (0.7 – 4.0 µm)
• cloud cover is calculated from:
C = (R - Rmin)/(Rmax - Rmin)
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• OLADE - first initiative to join data from different
Latin-America countries
• Brazilian Solar Atlas using interpolation
techniques (Tiba, 2000)
Solar Radiation Mapping of Brazil
techniques (Tiba, 2000)
• Model GL (DSA/INPE)
• Model BRASIL-SR
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Model BRASIL-SRShort description
Input data reading and
checking procedures
Atmospheric profiles determination
Cloud optical properties
Spectral interval
selection
Solar properties determination
(declination, time equation, zenith angle, time angle,
sunrise time, incident irradiation at TOA etc..)
Atmosphere type
selection
Cloud properties
(layers number, size distribution of
droplets, cloud top pressure, etc..)
• Two-Stream approach
• 135 wavelength spectral intervals
• 37 atmospheric layers
• Atmospheric aerosols are taken in
account(O3, CO2, water vapor , Rayleigh
scattering, temperature, pressure and
layers thickness)
Aerosol optical
properties
(McClatchey, 1976)
Optical properties determination for each
atmospheric layer
(absorption, scattering and extintion coefficient)
(optical thickness, cloud
top layer, water content)
Broadband transmitance for
clear-sky condition
τclr
(Two-stream approximation)
Broadband transmitance for
overcast condition
τcld
(Two-stream approximation)
Determination of incident global irradiation
estimates
F = {(1 - neff) (τclr - τcld) + τcld}. Fo
account
• Cloud cover data obtained from satellite
images
• Radiative processes parameterization
uses climatological data:
• Temperature
• Relative Humidity
• Surface albedo
• Visibility
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• “Atlas Irradiação Solar do Brasil” (Colle and Pereira, 1998)
– GOES 8 images
– images from 1995 to 1998
Solar Radiation Mapping of Brazil
– images from 1995 to 1998
– three hourly images
– spatial resolution of 0.5 x 0.5°
– solar radiation variability
– comparison with other results (OLADE, IGMK)
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Solar Radiation Mapping of Brazil
dia
tio
n [
Wh
/m]
2
62
Wh
/m2
: 5
68
8 W
h/m
2
t: 5
630
Wh
/m2
54
78
Wh
/m2
15
Wh
/m2
Regional area [%]
Glo
ba
l R
ad
No
rth
: 5
46
No
rth
ea
st: 5
Mid
dle
we
st:
So
uth
ea
st: 5
So
uth
: 5
01
5
45.15 18.31 18.89 10.88 6.87
Yearly average of daily sums
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SWERA Project
• improve the spatial and temporal resolution
• decrease the expected uncertainties
• consolidate the satellite derived maps
Solar Radiation Mapping of Brazil
• consolidate the satellite derived maps
methodology
• calculate another radiation components
• setup a continuous data collection in order to
have a long term series in the future – SONDA
Project
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Solar Radiation Mapping of Brazil
• BRASIL-SR Improvements• Altitude correction for precipitable water
• algorithms to get effective cloud cover index
• modeling of aerosols emitted by induced forest • modeling of aerosols emitted by induced forest
fires (in developing)
• Comparison with other models and expected uncertainties
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Model BRAZIL-SRGOES-12 images
Channel 4 – infrared band (10,2–11,2µm)
Channel 1 – visible band (0,55-0,75mm)
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Model BRAZIL-SRClimatological data
Surface albedo
Temperature
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Model BRAZIL-SRClimatological data
Topography
Relative Humidity
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SWERA CROSS-VALIDATIONground site - Caicó
� Semi-arid region of the Brazilian northeast
Annual precipitation less than 700 mm
Flat land area with sparse brushwood type vegetation
Average albedo 13.3%
Large insolation - about 120 days/yearLarge insolation - about 120 days/year
High annual mean temperature - 22 to 33 oC
� Nice place for clear-sky bias model fine tuning
� Producing data for global and direct incident
horizontal solar radiation since November 2002.
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SWERA CROSS-VALIDATIONdaily global irradiation
Daily Global Horizontal Irradiance - Caicó
2000
2500
3000
Estimated (Wh/m
2)
Daily Global Horizontal Irradiance - Caicó
2000
2500
3000
Estimated (Wh/m
2)
Correlation Coeff. : 0.78 Correlation Coeff. : 0.61
BRASIL-SR SUNNY-ALBANY
500
1000
1500
500 1000 1500 2000 2500 3000
Measured (Wh/m2)
Estimated (Wh/m
Dez 2002 Jan-03 Fev 2003
Linear (Dez 2002) Linear (Jan-03) Linear (Fev 2003)
500
1000
1500
500 1000 1500 2000 2500 3000
Measured (Wh/m2)
Estimated (Wh/m
Nov 2002 Dez 2002 Jan 2003 Fev 2003
Linear (Nov 2002) Linear (Dez 2002) Linear (Jan 2003) Linear (Fev 2003)
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Daily Direct Normal Irradiance - Caicó
2000
2500
3000
Estimated (Wh/m
2)
Daily Direct Normal Irradiance - Caicó
2000
2500
3000
Estimated (Wh/m
2)
SWERA CROSS-VALIDATIONdaily direct normal irradiation
Correlation Coeff. : 0.67Correlation Coeff. : 0.88
500
1000
1500
500 1000 1500 2000 2500 3000
Measured (Wh/m2)
Estimated (Wh/m
Dez 2002 Jan 2003 Fev 2003
Linear (Dez 2002) Linear (Jan 2003) Linear (Fev 2003)
0
500
1000
1500
0 500 1000 1500 2000 2500 3000
Measured (Wh/m2)
Estimated (Wh/m
Dez 2002 Jan-03 Fev 2003
Linear (Dez 2002) Linear (Jan-03) Linear (Fev 2003)
BRASIL-SR SUNNY-ALBANY
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Outputs of the SWERA project
• Solar Radiation Maps
– Global
– Direct
– Tilted– Tilted
• Typical Meteorological Years - TMY
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Outputs of the SWERA projectSolar Radiation
• spatial resolution ~ 10 x 10 km
• instantaneous values derived from three-hourly images
• interpolated daily sums
• monthly averages
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Global Radiation Yearly average
Insolation – yearly averagePrecipitation yearly averageCloud cover – yearly averageTemperature – yearly average
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Global Radiation
sprin
g
sum
mer
autu
mn
win
ter
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Global Radiation Seasonal maps
sum
mer
spring
autu
mn
win
ter
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Global
Radiation
Spring
Cloud Cover
Oct Nov Dec
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Global
Radiation
Summer
Cloud Cover
January February March
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Global
Radiation
Autumn
Cloud Cover
April May June
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Global
Radiation
Winter
Cloud Cover
July August Sept
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Tilted Radiation Annual mean
Insolation – yearly averagePrecipitation – yearly averageCloud cover – yearly averageTemperature – yearly average
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Tilted Radiation Seasonal variability
springsummerautumnwinter
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Typical Meteorological Years
• 20 selected cities
• main cities and different climates
• derived from meteorological observations from measuring stations and airportsfrom measuring stations and airports
• Radiation data estimated from cloud cover
• Task being developed by NREL
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ID latitude alt site months
1 -20,467 556 "CAMPO GRANDE INTL BZ" 354
Selected Sites
for TMY
1 -20,467 556 "CAMPO GRANDE INTL BZ" 354
2 -25,517 908 "CURITIBA/AFONSO PEN BZ" 352
3 -27,667 5 "FLORIANOPOLIS ARPT BZ" 342
4 -3,783 25 "FORTALEZA/PINTO MAR BZ" 3115 -8,067 19 "RECIFE/GUARARAPES BZ" 288
6 -15,650 182 "CUIABA/MARECHAL RON BZ" 281
7 -9,350 375 "PETROLINA AIRPORT BZ" 2778 -19,850 785 "BELO HORIZ/PAMPULHA BZ" 277
9 -10,700 290 "PORTO NACIONAL ARPT BZ" 264
10 2,833 140 "BOA VISTA (CIV/MIL) BZ" 261
11 -23,617 803 "SAO PAULO/CONGONHAS BZ" 22712 -15,867 1061 "BRASILIA (CIV/MIL) BZ" 224
13 -22,900 3 "SANTOS DUMONT/RIO BZ" 211
14 -1,383 16 "BELEM/VAL DE CAES BZ" 210
15 -8,767 88 "PORTO VELHO(CV/MIL) BZ" 20516 -6,267 98 "JACAREACANGA BZ" 194
17 -13,017 51 "SALVADOR BZ" 193
18 -13,267 458 "BOM JESUS DA LAPA BZ" 16219 -3,133 72 "MANAUS BZ" 148
20 -29,700 114 "SANTA MARIA BZ" 135
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South America
• spatial resolution ~ 40 x 40 km
• instantaneous values derived from three-hourly images
• interpolated daily sums• interpolated daily sums
• monthly averages
• undefined uncertainties for Andes and southern part
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South America
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Final RemarksComparison between solar radiation in Brazil and Europe
produced by the Satel-Light Server
www.satel-light.com on 09.02.05
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Final Remarks
• Further improvements– model was not validated yet for high
mountains and high latitudes
– satellite images database is not climatologically representative yetclimatologically representative yet
– a new methodology to determine the maximum and minimum effective satellite cloud cover is being developed
– hourly satellite images from GOES 12 are now available for Southern Hemisphere
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Final Remarks
• Marketing