Solargis Report - Amazon Web Services...2020/10/09 · Solargis® Report Solar Resource Overview...

Direct Normal Irradiation - long-term average © 2020 Solargis

© 2020 SolargisReport number: None

Solargis® Report

Solar Resource Overview

Site name:

Plataforma Solar de Almeria, Spain

Type of Data:

Hourly time series (01/01/1994 - 31/08/2020)TMY P50 (01/01/1994 - 31/12/2019)

Customer:

Solargis s.r.o.

Date of Issue:

08 September 2020

Issued by:

Solargis s.r.o.Tel: +421 2 43 191 708

[email protected]

solargis.com

mailto:[email protected]

http://solargis.com

SITE: 37.094416°, -2.35985° | TYPE OF DATA: Hourly time series | CUSTOMER: Solargis s.r.o.

Report number: None © 2020 Solargis

1. Site Info

Site name: Plataforma Solar de Almeria, Spain

Latitude: 37.094416°

Longitude: -2.35985°

Elevation: 497 m a.s.l.

Location on the map: http://solargis.info/imaps/#tl=Google:satellite&loc=37.094416,-2.359850&z=14

Google Maps © 2020 Google

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http://solargis.info/imaps/#tl=Google:satellite&loc=37.094416,-2.359850&z=14



2. Executive Summary

Long-term average yearly values calculated from time series (TS) representing 26 complete calendar years (1994-2019):

TS TMY P50

Global Horizontal Irradiation 1883 1883 kWh/m²

Direct Normal Irradiation 2163 2164 kWh/m²

Diffuse Horizontal Irradiation 610 608 kWh/m²

Global Tilted Irradiation (fixed inclination: 33° azimuth: 180°, rel. rowspacing: 2.6)

2187 -- kWh/m²

Air Temperature at 2 m 17.5 17.7 °C

3. Solargis Database Description

This report and data is based on Solargis high-resolution database operated by Solargis s.r.o. company. Solar resource data(GHI, DIF, DNI and GTI) is calculated by a suit of solar models, and the data inputs are derived from geostationarymeteorological satellites and global meteorological models. Meteorological data (TEMP, RH, WS, WD, AP and PWAT) areprocessed from the outputs of global meteorological models. All Solargis parameters are validated by quality-controlledground measurements acquired by high-accuracy meteorological equipment worldwide. The spatial and time resolution ofthe original input data are harmonized during the model processing to achieve the best possible.

Output from the database Solargis v2.2.10

Solar Resource

Description: Data calculated from Meteosat MSG and MFG satellite data (© 2020 EUMETSAT) and fromatmospheric data (© 2020 ECMWF, NOAA and NASA) by Solargis method

Spatial resolution: 250 m

Meteorological Data

Description: Spatially disaggregated from CFSv2 and GFS (© 2020 NOAA) and ERA5 (© 2020 ECMWF) bySolargis method

Spatial resolution: Temperature 1 km, other meteorological parameters 33 km to 55 km

Terrain shading is not considered in this delivery. Occasional deviations in calculations may occur as a result ofmathematical rounding and cannot be considered as a defect of algorithms. Acronyms used later in this report: TS - timeseries, TMY - typical meteorological year, LTA - long-term average, STDEV - standard deviation.

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4. Time Series (TS) Overview

Type of data: Hourly time series (time reference UTC+0)

Period: 01/01/1994 - 31/08/2020 (233760 records)

Parameters:

Code Description CSV file PDF report

GHI Global horizontal irradiation [Wh/m²]

DNI Direct normal irradiation [Wh/m²]

DIF Diffuse horizontal irradiation [Wh/m²]

GTI Global tilted irradiation [Wh/m²] (fixed inclination: 33 deg.azimuth: 180 deg., rel. row spacing: 2.6)

flagR Cloud identification quality flag: 0: sun below horizon, 1:model value, 2: interpolated 1hour, 5: long term monthlymedian or persistence, 6: synthetic data, 11:NWP forecast

SE Sun altitude (elevation) angle [deg.]

SA Sun azimuth angle [deg.]

TEMP Air temperature at 2 m [deg. C]

WS Wind speed at 10 m [m/s]

WD Wind direction at 10 m [deg.]

RH Relative humidity [%]

AP Atmospheric pressure [hPa]

PWAT Precipitable water [kg/m²]

Regarding data tables on the next pages, background color of cells in the 'Year' column means: grey color - yearly value iswithin the standard deviation band - a normal year, red or blue color is reserved for exceptional years above or belowstandard deviation band respectively.

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Global horizontal irradiation: monthly and yearly sums GHIYe

ar

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year

1994 92 109 159 197 218 243 235 212 175 105 93 86 1924 1994

1995 95 111 154 193 223 219 244 213 167 123 82 68 1892 1995

1996 76 109 149 174 214 239 240 220 147 132 92 62 1853 1996

1997 65 117 174 161 216 238 243 204 152 124 83 71 1849 1997

1998 81 97 167 195 181 236 255 210 154 140 92 84 1891 1998

1999 84 110 161 210 219 240 248 224 168 104 88 74 1930 1999

2000 89 124 157 188 197 250 250 214 172 124 86 73 1925 2000

2001 88 110 154 196 202 248 240 215 159 122 76 65 1874 2001

2002 84 118 149 174 219 228 249 216 160 123 87 76 1882 2002

2003 92 89 139 178 221 232 250 223 173 101 78 77 1851 2003

2004 96 107 133 186 187 236 237 214 153 125 92 68 1835 2004

2005 101 100 146 203 227 245 248 213 170 127 92 79 1950 2005

2006 73 98 167 171 190 219 243 220 166 122 79 76 1825 2006

2007 84 98 162 139 223 242 254 206 160 115 91 77 1853 2007

2008 89 88 167 193 195 233 238 221 142 104 93 73 1837 2008

2009 76 106 152 185 224 240 245 219 139 131 97 70 1882 2009

2010 80 83 128 163 236 229 240 208 161 124 84 78 1814 2010

2011 77 115 137 169 193 224 235 222 176 127 82 82 1839 2011

2012 93 119 165 190 232 238 248 211 157 122 72 80 1927 2012

2013 88 109 139 173 206 249 244 207 159 130 93 78 1874 2013

2014 85 102 161 195 235 231 247 220 159 132 86 86 1939 2014

2015 96 99 148 172 214 241 247 201 163 116 102 86 1882 2015

2016 87 99 163 177 221 237 231 217 173 126 85 73 1889 2016

2017 84 99 164 189 230 242 245 197 177 138 96 84 1944 2017

2018 90 103 146 179 211 229 247 215 154 109 84 87 1854 2018

2019 95 123 157 177 236 250 238 217 156 134 89 77 1951 2019

2020 87 119 125 151 221 242 240 216 -- -- -- -- -- 2020

LTA 86 105 154 182 214 237 244 214 161 122 87 76 1883

Unit: kWh/m² Long-term statistics is calculated from complete years Yearly STDEV: 42 kWh/m²

Monthly long-term average, minimum and maximum Interannual variability of yearly values with average line andSTDEV band

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Direct normal irradiation: monthly and yearly sums DNIYe

ar


1994 158 153 178 226 214 240 199 202 211 110 150 164 2205 1994

1995 176 169 187 210 212 194 240 216 201 136 104 107 2152 1995

1996 106 163 172 168 224 228 231 235 152 182 150 93 2106 1996

1997 80 181 233 160 202 251 254 213 160 156 125 121 2135 1997

1998 127 135 206 221 148 229 267 199 167 206 157 171 2233 1998

1999 149 178 201 252 205 242 250 236 193 107 146 133 2292 1999

2000 162 205 169 204 184 258 250 201 197 159 136 120 2247 2000

2001 143 158 171 213 197 248 234 212 158 148 98 104 2085 2001

2002 135 189 171 175 218 192 249 214 163 154 138 133 2131 2002

2003 167 116 147 182 217 208 245 235 198 99 107 138 2059 2003

2004 184 149 145 207 152 227 227 218 154 153 154 116 2087 2004

2005 204 154 150 217 220 239 244 215 191 162 148 150 2296 2005

2006 113 133 216 145 144 193 225 234 175 136 117 125 1956 2006

2007 145 134 209 108 228 245 265 191 157 132 145 142 2101 2007

2008 158 107 215 210 157 229 227 231 136 104 155 133 2060 2008

2009 116 152 180 199 219 242 247 228 133 176 159 121 2173 2009

2010 127 98 134 138 248 223 233 204 178 162 141 130 2016 2010

2011 120 178 144 156 167 216 224 221 206 156 116 158 2063 2011

2012 170 191 199 204 238 222 243 196 167 156 92 144 2224 2012

2013 152 166 152 176 188 252 244 203 171 161 156 140 2161 2013

2014 144 143 201 211 252 218 242 232 176 171 129 176 2295 2014

2015 176 141 182 163 201 251 246 186 179 137 188 158 2208 2015

2016 143 117 210 183 219 231 215 224 196 151 128 137 2155 2016

2017 150 126 206 201 224 246 244 190 208 194 168 164 2321 2017

2018 162 145 176 184 198 216 243 219 161 131 130 178 2145 2018

2019 179 199 195 191 253 261 220 210 160 181 144 139 2332 2019

2020 149 175 129 127 214 241 223 219 -- -- -- -- -- 2020

LTA 148 153 183 189 205 231 239 214 175 151 138 138 2163



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Diffuse horizontal irradiation: monthly and yearly sums DIFYe

ar


1994 29 35 56 51 68 70 88 73 46 48 29 25 619 1994

1995 25 31 46 58 74 77 73 66 48 53 38 28 618 1995

1996 32 32 48 66 63 76 74 62 54 39 29 27 603 1996

1997 34 30 45 58 74 62 66 63 55 44 31 25 586 1997

1998 31 32 48 53 79 72 66 73 52 37 26 22 591 1998

1999 26 26 47 49 75 69 70 63 51 47 27 26 576 1999

2000 25 27 60 56 68 68 72 74 51 42 29 28 600 2000

2001 30 35 55 56 68 70 74 70 60 45 35 27 625 2001

2002 29 28 49 60 69 86 73 71 60 45 30 27 626 2002

2003 25 34 53 61 71 81 75 64 53 49 32 26 623 2003

2004 24 36 49 52 82 71 75 66 59 46 28 26 614 2004

2005 21 28 58 59 72 72 73 68 54 43 30 23 603 2005

2006 29 35 44 75 84 80 80 63 58 51 31 28 659 2006

2007 28 34 45 69 68 67 67 76 62 46 30 24 616 2007

2008 26 38 44 58 83 71 76 64 59 50 29 24 622 2008

2009 29 33 49 58 73 67 69 65 58 41 30 25 599 2009

2010 29 36 50 74 66 71 73 69 53 41 26 29 617 2010

2011 30 30 54 67 77 70 77 71 51 45 33 24 628 2011

2012 26 29 51 59 67 77 74 77 56 42 34 26 617 2012

2013 28 31 52 60 75 69 71 69 55 46 29 27 612 2013

2014 28 34 47 58 62 76 73 64 52 45 31 21 591 2014

2015 26 33 46 63 74 64 72 74 54 47 24 26 603 2015

2016 30 42 45 59 70 73 76 66 54 48 31 23 616 2016

2017 26 39 46 58 75 67 72 68 51 40 26 23 590 2017

2018 27 34 47 59 77 75 74 66 57 44 29 21 610 2018

2019 25 28 48 56 62 64 81 74 60 41 29 26 593 2019

2020 28 35 53 67 72 72 79 68 -- -- -- -- -- 2020

LTA 28 33 49 60 72 72 74 68 55 45 30 25 610



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Global tilted irradiation: monthly and yearly sums GTIfixed inclination: 33° azimuth: 180°, rel. row spacing: 2.6Ye

ar


1994 155 160 196 212 212 224 224 220 205 138 149 154 2250 1994

1995 164 165 191 209 215 203 231 219 198 163 123 114 2193 1995

1996 119 160 182 186 203 220 227 228 174 182 148 101 2131 1996

1997 99 173 221 171 209 218 229 210 175 169 131 121 2125 1997

1998 131 138 210 210 172 218 240 216 178 197 151 153 2216 1998

1999 142 166 202 228 212 220 235 231 198 134 142 129 2239 1999

2000 152 188 193 202 190 230 237 222 203 169 137 124 2247 2000

2001 145 161 188 212 193 228 226 223 184 165 115 108 2149 2001

2002 137 177 183 183 211 212 235 223 185 169 139 132 2185 2002

2003 156 126 171 191 213 215 236 230 203 130 119 134 2123 2003

2004 168 155 164 199 180 218 225 221 179 170 150 116 2144 2004

2005 179 147 176 218 219 227 235 221 201 173 147 141 2284 2005

2006 118 141 210 182 184 202 230 228 195 162 124 129 2106 2006

2007 142 140 205 146 215 223 240 212 186 153 145 135 2142 2007

2008 150 124 209 207 189 214 226 229 163 135 152 127 2124 2008

2009 122 154 188 197 216 221 231 227 157 181 156 120 2169 2009

2010 131 114 155 172 228 211 227 215 189 169 136 133 2080 2010

2011 125 172 166 181 186 206 222 230 208 170 127 148 2140 2011

2012 160 178 207 204 224 220 234 219 183 166 108 140 2243 2012

2013 148 162 169 186 198 230 231 213 186 176 151 136 2186 2013

2014 142 148 201 209 227 213 233 227 184 182 134 157 2258 2014

2015 164 143 185 183 207 220 233 207 191 155 171 152 2212 2015

2016 144 138 204 189 212 218 219 225 205 170 133 129 2185 2016

2017 143 141 204 205 222 222 231 203 210 193 157 151 2283 2017

2018 153 149 179 193 203 211 233 223 180 146 132 160 2162 2018

2019 164 186 197 190 228 230 226 225 183 185 143 135 2291 2019

2020 146 175 153 158 213 222 227 224 -- -- -- -- -- 2020

LTA 144 154 191 195 206 218 231 221 189 165 139 134 2187



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Average diurnal (24 hour) air temperature at 2 m TEMPYe

ar


1994 9.5 10.9 13.7 14.8 20.6 23.4 28.1 28.1 21.6 17.8 14.9 11.5 17.9 1994

1995 11.0 13.5 12.8 14.7 20.1 21.9 26.4 25.9 21.0 18.8 15.1 12.0 17.8 1995

1996 11.2 9.4 12.4 15.3 18.0 22.6 25.5 25.1 20.5 17.2 13.8 10.8 16.8 1996

1997 9.9 12.9 13.9 16.2 19.2 23.6 24.2 25.2 22.4 19.2 14.3 11.1 17.7 1997

1998 10.6 11.5 14.4 15.9 17.5 23.5 26.6 25.9 23.1 17.2 13.7 9.1 17.5 1998

1999 9.3 9.8 12.6 16.6 21.2 23.7 26.5 27.3 23.0 18.4 11.2 10.3 17.5 1999

2000 7.6 12.6 13.5 15.1 19.9 23.9 26.3 26.5 22.6 17.1 12.9 11.2 17.5 2000

2001 11.0 11.3 16.4 16.8 18.8 25.3 26.1 26.9 22.5 19.7 11.6 9.2 18.0 2001

2002 10.0 12.0 13.3 15.0 18.8 24.1 25.0 24.7 22.2 18.4 14.6 12.0 17.5 2002

2003 9.0 9.7 12.9 15.5 19.3 25.7 27.5 27.2 22.6 17.5 13.5 10.0 17.6 2003

2004 11.4 11.1 12.4 14.3 16.7 24.4 25.7 26.7 23.2 19.1 12.2 9.7 17.3 2004

2005 8.1 7.8 12.4 15.9 20.6 24.5 27.0 25.1 21.1 18.0 11.7 9.5 16.9 2005

2006 8.1 9.5 14.3 17.2 20.1 23.0 27.1 25.6 22.7 19.6 14.4 9.7 17.7 2006

2007 9.6 12.4 12.7 13.9 19.8 23.4 25.9 25.2 21.5 17.2 12.2 9.8 17.0 2007

2008 10.3 11.1 13.9 16.1 18.4 22.6 26.1 25.9 21.8 17.1 10.7 8.6 16.9 2008

2009 8.8 9.6 12.4 14.3 19.7 24.7 27.4 25.8 21.1 19.1 15.1 11.1 17.5 2009

2010 9.4 10.5 11.6 15.2 18.3 22.3 26.5 25.9 22.3 17.5 12.6 10.1 16.9 2010

2011 9.5 10.7 12.2 17.0 19.6 23.2 26.3 26.8 23.4 18.4 14.0 10.8 17.7 2011

2012 9.6 7.9 12.2 15.5 20.7 26.1 26.5 28.4 22.2 18.3 13.3 10.9 17.7 2012

2013 10.8 10.2 13.5 15.7 18.1 22.3 25.7 25.9 22.4 20.4 12.8 9.8 17.3 2013

2014 11.0 11.9 13.3 18.5 19.4 23.6 26.1 26.5 24.3 20.0 14.2 9.9 18.2 2014

2015 9.6 10.0 13.4 15.8 21.2 23.6 28.6 27.0 22.3 19.0 13.9 11.7 18.1 2015

2016 12.2 12.3 13.0 16.2 19.1 24.4 26.6 25.6 23.2 19.3 13.4 10.8 18.0 2016

2017 8.5 12.1 13.7 15.8 20.4 25.5 26.9 26.4 22.6 19.2 13.4 10.0 17.9 2017

2018 10.6 9.6 12.7 15.8 18.2 23.5 27.0 26.5 23.4 17.0 13.1 11.6 17.5 2018

2019 9.8 10.9 13.1 14.6 19.8 23.4 27.3 26.5 22.4 18.9 13.4 11.9 17.7 2019

2020 9.5 13.3 13.7 15.0 20.6 23.6 26.9 26.9 -- -- -- -- -- 2020

LTA 9.9 10.8 13.2 15.7 19.4 23.8 26.5 26.3 22.4 18.4 13.3 10.5 17.5

Unit: °C Long-term statistics is calculated from complete years Yearly STDEV: 0.4 °C


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5. Typical Meteorological Year (TMY) Overview

TMY data is delivered, together with the time series data and this report. TMY contains hourly values derived from the timeseries covering complete calendar years. The data history is compressed into one year, following two criteria. The first isminimum difference between statistical characteristics (annual average, monthly averages) of TMY and time series. Thiscriterion is given 80% weighting. The second criterion is maximum similarity of monthly Cumulative Distribution Functions ofTMY and full-time series, so that the occurrence of typical hourly values is well represented for each month. This criterion isgiven 20% weighting.

TMY P50 data set represents, for each month, the average climate conditions and the most representative cumulativedistribution function, therefore extreme situations (e.g. extremely cloudy weather) are not represented in this dataset.

Type of data: Hourly TMY, 8760 records (time reference UTC+0)

Time representation: 01/01/1994 - 31/12/2019

TMY method: SolarGIS_2

Parameters:

Code Description CSV file PDF report

GHI Global horizontal irradiation [Wh/m²]

DNI Direct normal irradiation [Wh/m²]

DIF Diffuse horizontal irradiation [Wh/m²]

SE Sun altitude (elevation) angle [deg.]

SA Sun azimuth angle [deg.]

TEMP Air temperature at 2 m [deg. C]

WS Wind speed at 10 m [m/s]

WD Wind direction at 10 m [deg.]

RH Relative humidity [%]

AP Atmospheric pressure [hPa]

PWAT Precipitable water [kg/m²]

Important note:Data reduction in TMY is not possible without loss of information contained in the original multiyear time series. Therefore timeseries data can only be considered as the reference for the statistical analysis of solar resource and meteorological conditions ofthe site. Only time series data are used for the statistical analysis in this report.

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Monthly and Yearly Averages

Long-term averages of GHI

GHI [kWh/m²] 1 2 3 4 5 6 7 8 9 10 11 12 Year

Time series 86 105 154 182 214 237 244 214 161 122 87 76 1883

TMY P50 84 106 148 179 219 237 245 213 161 126 87 77 1883

Long-term averages of DNI

DNI [kWh/m²] 1 2 3 4 5 6 7 8 9 10 11 12 Year

Time series 148 153 183 189 205 231 239 214 175 151 138 138 2163

TMY P50 149 152 182 184 205 231 240 215 178 151 138 138 2164

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Long-term averages of TEMP

TEMP [°C] 1 2 3 4 5 6 7 8 9 10 11 12 Year

Time series 9.9 10.8 13.2 15.7 19.4 23.8 26.5 26.3 22.4 18.4 13.3 10.5 17.5

TMY P50 9.3 9.6 13.4 15.8 21.2 24.4 26.4 25.1 22.3 19.3 14.6 10.0 17.7

Seasonal Hourly Profiles

Hourly profiles for TMY P50.

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Data Snapshot

Snapshot of TMY P50. Days of year are on the x-axis, hours are on the y-axis.

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6. Data Uncertainty

Solar Resource

Quality of Solargis data is determined by underlying models, spatial and temporal resolution of atmospheric andmeteorological inputs, and their accuracy. Solargis data has been validated at 250+ public and many commerciallocations, where high quality measurements were available. Statistics such as bias and RMSD are used for estimation ofuser‘s uncertainty. Solargis model demonstrates stable performance globally, and uncertainty lies within the marginsdescribed below.

For objective evaluation, the model has to be evaluated with quality-controlled data measured using high standard andprofessionally maintained instruments. If validation at a particular site shows higher deviations, there is high probabilitythat there are issues with local measurements.

Uncertainty of Solargis GHI and DNI yearly summaries for 80% of observations is within the range of ±4% and ±8%(±5% and ±10% for 90% of observations), respectively. In complex geographies and extreme cases, uncertainty ofGHI and DNI yearly summaries can be as high as ±8% and ±15%, respectively.

Regions where lower uncertainty (below or equal to ±4% for yearly GHI and ±8% for DNI) can be typically expected:Most of Europe and North America below latitude approx. 50° (see exceptions below), South Africa, Chile, Brazil,Australia, Japan, Morocco, Mediterranean region and Arabian Peninsula (except the Gulf region). Lower uncertainty isexpected in regions with good availability of high-quality ground measurements.

Regions where higher uncertainty can be expected (above ±4% for yearly GHI and above ±8% for DNI): high latitudes(approx. above 50°), high mountains, regions with regular snow and ice coverage, high-reflectance deserts, urbanizedand industrialized areas, regions with high and dynamically changing concentrations of atmospheric aerosols (NorthernIndia, West Africa, Gulf region, some regions in China), coastal zone (approx. up to 15 km from water) and humidtropical climate. Higher uncertainty is also assumed in regions with limited or no availability of high-quality groundmeasurements.

Meteorological Data

Meteorological parameters are derived from the numerical weather models CFSR, CFSv2, MERRA-2 and GFSprod.Compared to solar resource data, they have lower spatial and temporal resolution, and lower accuracy. Theycharacterize wider geographic region rather than a specific site. Especially relative humidity, wind speed and winddirection values have higher uncertainty, they may not accurately characterize the local microclimate and should beused with caution. The validation procedure was carried out to compare the modelled data with ground-measured datafrom the meteorological stations available through NOAA Integrated Surface Database network. In the validation of airtemperature, wind speed and relative humidity, the hourly measurements at more than 11000 stations were used.Uncertainty of yearly estimates for selected meteorological parameters (considering 80% occurrence): air temperature±1.3 °C, relative humidity: ±11%, wind speed ±1.7 m/s.

More about Solargis models, the underlying algorithms, input data and uncertainty can be consulted at:http://solargis.com/support/knowledge-base/methodology/solar-radiation-modeling/

7. Disclaimer and Legal Information

Considering the uncertainty of data and calculations, Solargis s.r.o. does not guarantee the accuracy of estimates. Themaximum possible has been done for the assessment of weather parameters based on the best available data, softwareand knowledge. Solargis s.r.o. shall not be liable for any direct, incidental, consequential, indirect or punitive damagesarising or alleged to have arisen out of use of the provided report.

This data and report is copyright to © 2020 Solargis. All rights reserved.

8. Service Provider

Solargis s.r.o., M. Marecka 3, 84107 Bratislava, SlovakiaCompany ID: 45 354 766, VAT Number: SK2022962766Registration: Business register, District Court Bratislava I, Section Sro, File 62765/BTel: +421 2 43 191 708solargis.com, [email protected]

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http://solargis.com

mailto:[email protected]



9. Delivered Items and Data Files Originality

The complete delivery None consists of the following items (4):

CSV data files:

item format file checksum sum of all values

1 Hourly time series Solargis 324652abf2cd48549407a6b414b40ab2 472577503

2 Hourly TMY P50 Solargis b818e95b9b6a54a32ba07de97e6554cc 15509630

The originality of CSV data files can be verified by the 'file checksum' (e.g. on this web page http://onlinemd5.com/).MD5 algorithm is used for the checksum. Using the 'sum of all values' is another way how to check the data originality incase the 'file checksum' is not longer valid (e.g. the file was edited and saved in Excel). The indicative sum of all datavalues in Solargis CSV files is rounded to an integer.

PDF files:

item format description

3 Terms and conditions of Solargisdata use

PDF Signed/accepted terms and conditions are supplied as a separatedocument sent via e-mail.

4 Solargis Report PDF This PDF report is electronically signed by Solargis s.r.o.. Theauthenticity of this PDF report can be verified here:http://solargis.info/embedded/pdfverify.html.

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Solargis Report - Amazon Web Services...2020/10/09 · Solargis® Report Solar Resource Overview...

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