Prospect
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Energy yield simulation
For financial risk assessment, investors and developers require reports of expected energy production, including uncertainties, as well as related solar and meteorological data inputs.
We offer an independent and impartial evaluation of PV energy yield with our proprietary simulation tools and models. These are based on 15+ years of experience working on large-scale PV power plants around the world.
Solar resource and air temperature are the most significant contributors to the uncertainty of PV energy simulations.
Solargis PV energy estimates are based on our own solar and meteorological Time Series, known for their rigorous validation and low uncertainty.
In contrast to the common practice of using hourly TMY data in PV yield simulation, we use sub-hourly time series of solar radiation and air temperature.
Weather inputs with higher temporal resolution and a full history (more than 30 years) deliver higher accuracy and help you correctly evaluate atypical weather conditions.
For energy PV yield assessment, we use our proprietary simulation engine and algorithms. This enables us to provide you with detailed insights into energy losses, uncertainties, and PV plant design options.
If available, we integrate on-site measurements of solar and meteorological data for site adaptation of the Solargis model, delivering long-term time series with reduced uncertainty and, in turn, giving project stakeholders higher confidence.
