WIND AND SOLAR WORLD ATLAS:
Click on the map and find out the wind and solar energy available at that location
This wind and solar atlas combines the main sources of international data, to determine with great accuracy the calculations derived from it. The sources consulted are: PVGIS, for solar energy and DTU, MERRA-2, VAISALA and own BBDD which departs with the corrected NASA origin. These data sources are international calculations and in addition to them for calculations in Spain, the CENER data source is also used in combination. However, given the complexity of the calculations, there may be margins of error in the wind average which may vary from 1 to 15%, It is also important to consider that turbulence losses from nearby objects do not apply.
Average wind speed to hub height
This estimate of wind may contain an error of up to 15%, it is important to consider the possible decrease derived from this error.
Considering the production of
Longitude: --
Altitude: --
Air density: --
Energy: --
Energy: --
-tons/year
CO2 saving
.
-trees planted/Ha
CO2emission
Carry out the planting of - trees is equivalent to the non-emission of - tons of CO2 during the twenty five years they have of useful life.
-euros/year
Economic saving
Price:
Detail and data source:
| Data source | Hub height (m) | Average speed (m/s) | Degree of confidence | Dispersion zone (m/s) | Weibull C | Weibull K | Rose of winds | Monthly variation |
|---|---|---|---|---|---|---|---|---|
| Select a point on the map.... |
This table shows the different sources of data in which we calculate the average speed of the zone in order to generate the study of wind production, from each data source we obtain values that then for the calculation of the means, are applied according to degree of confidence.
Wind Generation Data:
| Wind production in kWh | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Average | Anual | |
| Select a point on the map.... | ||||||||||||||
Wind Information:
Histogram values in m/s more constants of the zone, showing for each wind speed Weibull values and Weibull averages. Graphical representation of how the wind history is distributed. of winds.
The rose of the winds , allows you to know the prevailing winds, it is necessary to start it to install the equipment keeping free of obstacles the prevailing sector of winds.
Seasonal Variation is based on the data set of the last 30 years that MERRA-2 has obtained, it calculates the average wind speed of each month, is averaged and shown a change from the annual average in % values.
The minimum and maximum points correspond to the maximum and minimum average speed for each month of those 30 years, showing 66% of that value (we are talking about 1 standard deviation).
Spatial variation shows the mean wind speed values of the models on a grid of at least 1km 2 (for DTU and 25km 2 for CENER or VAISALA ...) offering the variation that can be found in the territory around the chosen point.
We assume that all the measurements made in the territory of the surrounding areas (10km 2 ) are taken, we order them from highest to lowest with respect to the Vm and we obtain the wind averages. In this way, in 100% we find the average speed of the territory, but as the wind decreases, the wind increases within the selected field, so that for example 1% will correspond to the windiest 1% of that point.
Solar Generation Data:
Solar resource
-kWh/day
Considering 1kWp of installation power
| Solar production | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Average | Anual | |
| Select a point on the map.... | ||||||||||||||
-tons/year
CO2 saving
.
-trees planted/Ha
CO2emission
Carry out the planting of - trees is equivalent to the non-emission of - tons of CO2 during the twenty five years they have of useful life.
-euros/year
Economic saving
Price:
