Best practices

Seasonality and Socioeconomics: Assessing global PV potential for the World Bank

Global Photovoltaic Power Potential by Country is an innovative new study developed by Solargis for the World Bank. The study aims to assess the potential for solar PV in every country, capitalising on several new, market-first, metrics and techniques. Read article

Webinar: Self-shading analysis in PV simulation

Watch the PVPMC webinar organized by Sandia where Branislav Schnierer, PV Modeling Specialist from Solargis talked about the technical aspects of self-shading analysis. Read article

What to expect from your solar data provider: Reliability

Solargis’ Technical Director, Tomas Cebecauer, and Managing Director, Marcel Suri speak about the core ingredients for a reliable database, Solargis’ ongoing efforts to enhance and validate its data services, and how users of Solargis’ data can most effectively undertake their own validation using on-site measurements. Read article

Solar resource data – time series data vs monthly averages

Bad data in equals bad data out. This well-known phrase is very relevant in a context of technical design and energy simulation of photovoltaic (PV) power plants. Most solar companies understand this and are carefully evaluating uncertainty of solar resource data used for feasibility purposes ... Read article

How to calculate P90 (or other Pxx) PV energy yield estimates

To assess the solar resource or energy yield potential of a site, we model the solar resource/energy yield using best available information and methods. The resulting estimate is the P50 estimate, or in other words, the “best estimate”. P50 is essentially a statistical level of confidence suggesting that we expect to exceed the predicted solar resource/energy yield 50% of the time. However, ... Read article

Being certain about solar radiation uncertainty

The process of estimating solar radiation data uncertainty can be sometimes unclear. We've tried to summarise in 4 simple steps how model validation statistics can be used for determining uncertainty of model estimates for P75, P90, and other Pxx estimates. Read article

How Solargis is improving accuracy of solar power forecasts

Just as there are horses for courses, different forecasting techniques are more suitable depending on the intended forecast lead time. Ground-based and satellite-based methods offer best forecast skill for forecast lead time of few hours ahead. Beyond that NWP models offer best forecast skill. A combination of models provides better forecast than any individual forecast model. Read article

Solargis approach on site-adaptation of satellite-based DNI and GHI time series

Accurate solar resource data is needed for planning, engineering and financing of a solar energy project. Read article

Why to use satellite-based solar resource data in PV performance assessment

It is widely accepted that high-standard pyranometers operated under rigorously controlled conditions are to be used for bankable performance assessment of photovoltaic (PV) power systems. Asset managers, O&M providers, and owners of PV portfolios are increasingly relying on satellite-derived solar resource data. Read article

WEBINAR: Solar resources data applications for utility planning and operations

On Monday 23 Feb 2015 at 16:00 UTC, Marcel Suri (Solargis) and Tom Hoff (Clean Power Research) present the use of weather satellite data to estimate the solar energy resource and availability and accuracy of derived data products. Read article

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