Validation of modeled solar resource data
Regional validation statistics provides a better indication of expected quality of the GHI and DNI model estimates
Solargis time series provide a long-term record of solar and meteorological data. Although the Solargis data is of high-quality, for large-scale and utility-scale projects it needs to be supported by regional validation and site-specific uncertainty estimates.
A regional evaluation of the model uncertainty is particularly important in territories, where solar power development is only starting. For this purpose, we provide a detailed solar resource validation and assessment study as an add-on consultancy service to the standard data delivery.
Validation information related to solar and meteorological data from nearby sites is included to support bankability of the assessment. On-site measurements, when available, can be integrated into the analysis to reduce uncertainty and give higher confidence to project stakeholders.
Regional validation statistics provides a better indication of expected quality of the GHI and DNI model estimates
Accurate meteorological data is also important for reliable solar energy simulation. The data from the meteorological stations in the region are used for validation and improvement of the modeled values.
On-site measured solar and meteorological data, when available, are used for site-adaptation of Solargis model to deliver longterm time series with enhanced accuracy and reduced uncertainty.
Solargis reports include uncertainty and probability of exceedance values for multiple scenarios scenarios. This critical information is derived from the analysis of representativeness and accuracy of local measurements, model validation, and from interannual variability.
Our work is recognised as highly credible in the industry. Our team has 16+ years of experience in solar models and ground-based monitoring. Working with us ensures that you have the best expert opinion about the solar and climate conditions at the project site.