Prospect
Quick estimate of PV site's solar potential
Solar radiation data for West Coast of USA and Canada, and Hawaii, for late afternoon hours on first and last day of each month in 2020 was incorrectly calculated, resulting in underestimation of cloud coverage. The issue was fixed and data for all affected days in 2020 was recalculated. Approximately 1% of all 2020 data in the west coast of continental US and Canada, and 2% of 2020 data for Hawaii was affected. Central and Eastern parts of Canada and US were not affected by this issue.
New parameters on ultra-violet radiation are now available within Solargis historic time series. A set of two parameters is provided, UVA (ultraviolet A, from 315 to 400 nm wavelength) and UVB (ultraviolet B, from 280 to 315 nm wavelength).
This new data is based on spectral splitting of ERA5 broadband UV data, so there is no direct connection to the irradiance model used for GHI, DNI and DIF. Available for global coverage.
Improved blending of satellite-based nowcasts with forecasts based on NWP models. Previously, nowcasts were used for forecast lead time of 0-4 hours, and NWP based forecasts were used for forecast lead times of 4+ hours. However, in some regions NWP forecasts already gives better results for forecast lead time of 3-4 hours. Thus a new blending method was implemented. Now, by default, full nowcasts is used up to hour 2, from hour 2 up to hour 4 the weight of nowcasts decreases from 1 to 0. From hour 4 only NWP forecasts are used. The default settings can be customized on per site basis where needed.
Key features:
Bug fixes:
Improved aggregation of 10 minute time series (native resolution) to 15 minute time step. Previously implemented aggregation resulted in 'steppy' profile during cloudless situations. A new aggregation method was introduced to avoid these features.
Improved merging of multiple data sources for a given parameter. As example, data merging methodology of historical and recent temperature data from 3 different sources, ERA5, CFSv2, and GFS, was updated. This update has been made to allow improved data handling that is required for advanced blending of multiple forecast models. The impact on historical data values will be negligible.
We achieved global coverage (between latitudes 60N and 50S) for recent and historic data already few years back. Yet, there were some gaps in the coverage for operational data services. These gaps were in overlapping satellite zones, where we had satellite imagery from more than 1 satellite mission. As a result a decision making process was required to define which satellite data source should be use.
The simple solution would have been to draw a straight line to define the coverage for different satellites. But this was not an acceptable solution, as it would result in spatial inconsistency of the solar radiation outputs. As a solution, we have carefully defined the border of the satellite coverage zone to be along physical and political borders. This way the spatial consistency is mostly maintained and our customers can now request data for any location between 60N and 50S latitudes via API. Also the delivery time for historic data via climData online app in these regions is now 5-10 minutes instead of 1 working day.
Economy calculations can be included in PDF and XLSX reports via checkbox option.
Key features:
- Option to include Economy section in PDF and XLSX reports
- Option to specify custom inverter efficiency and transformer efficiency values when configuring PV system
- Location search now also shows existing projects in search results, making it easier to find and open existing projects
- Default app language is based on user's browser language
- User settings now allow to specify preference for language, date format and unit settings
- Improved Compare tool, with possibility to see relative comparison in addition to comparison of absolute values
- Multiple improvements to user interface
Improved handling of leap years for calculation of long-term monthly average. This update affects only the monthly average data for February.
