Products
menu item
Prospect
Quick estimate of PV site's solar potential
menu item
Evaluate
Time Series & TMY data for energy modelling
menu item
Monitor
Real-time PV output assessment
menu item
Forecast
Solar power output forecast for up to 14 days
menu item
Analyst
Simplified & unified solar data management
menu item
Integrations
Automate delivery of Solargis data
Use cases
menu item
Site selection
Find the right solar project location
menu item
Energy yield simulation
Analyze potential gains and risks
menu item
Optimizing power plant design
Find optimum power plant design
menu item
Real power plant performance
Discover the true output
menu item
Power output forecast
Predict solar project energy output
menu item
Ground data verification
Verify quality of solar & meteo measurements
Solar Resource & Meteo Assessment
Detailed solar resource validation and assessment
Site Adaptation of Solargis Models
Combining satellite data with on-site measurements
Quality Control of Solar & Meteo Measurements
Correction of errors in ground-measured data
Customized GIS Data
Customized Solargis GIS data for your applications
PV Energy Yield Assessment
Estimated energy uncertainties and related data inputs
PV Performance Assessment
Energy estimate for refinancing or asset acquisition
PV Variability & Storage Optimization Study
Understand output variability across wide geo regions
Regional Solar Energy Potential Study
Identification of locations for solar power plants
Our expertise
How our technology works
Methodology
How we transform science into technology
API & integration
How to integrate Solargis data via API
Product guides & documentation
Release notes
Success stories
Blog
Ebooks & Whitepapers
Webinars
Collaterals
Publications
Events
Free Maps & GIS Data
Solar performance maps
About Solargis
Partners
ISO Certification
Careers

How to import Solargis data to PV*SOL

Users of PV*SOL software can also run PV simulation using Solargis weather data. Global horizontal irradiation and temperature are mainly required parameters for performing the PV yield simulation. Using both monthly and hourly files from Solargis in PV*SOL is possible and requires manual importing as it is described below.

Steps for importing Solargis data to PV*SOL (tested in 2016 version):

  1. Once a project is started, the user will land in “system type, climate and grid” page. Click the globe icon under climate data section to simulate the location of your choice in PV*SOL.
  2. Click on “Create climate data for new location” icon to create a new database for the new location. A new window opens to create data for new location. Here you have to right click on the map to mark the new location to be imported.
  3. Once you select the location, input the location details and click the measurement data to import the data from Solargis file. Click ok after manually enter the data into the table. Now the new location is added to the list and simulation of energy output for that site can be started.

Additional notes

  • Hourly files can be also used in PV*SOL by constructing a .DAT file from TMY files in Solargis csv format. Note that in this case other parameters like wind speed and relative humidity might be required by PV*SOL software. This can be done by following the previous first steps and then instead going through “Options” and “Import file”.
  • The Solargis TMY .csv file would need to be converted before into a suitable .dat file, which has the following content structure:

 

Row 1                                  Name of the site

Row 2                                  Latitude, longitude, elevation, time zone, start of the measurement time (e.g. is the first value from 0:00, or 0:30)

Row 3                                  Blank

Row 4                                  Name of the weathers parameters

Rows 5 to 8764                 One value each hour, 8760 values in total

 

Sample distribution of .dat file:

"Aberdeen"

57.100,2.050,35,0,-30

 

Ta           Gh          FF           RH

7.6         0             3.4         92.9

8.9         0             2.9         80.7

…            …            …            …

3.2         0             3.0         78.1