Solargis

Compare Solcast historical and TMY products to Solargis

soalrgis bias distribution.PNG

Solcast is independently validated as the lowest uncertainty solar resource dataset.

Solcast is independently validated as the lowest uncertainty solar resource dataset. Compared with Solargis, Solcast has lower uncertainty, is faster to access, and is cheaper and easier to use. Solcast’s mission is to bring you bankable data of top quality, faster, cheaper, and easier, and we think our database does just that.

  Solcast Solargis
Price $$ $$$$
Satellite based estimation
Global Coverage
Free trial with instant access and data download
Ignores older, less reliable satellites
Provides PV modeling tools
Global validation (GHI)    
Mean bias error 0.0% 0.3%
Bias standard deviation 2.0% 3.0%
Uncertainty [-4.0%, 4.0%] [-5.7%, 6.3%]

Source: Solargis Solar Resource Database: Description and Accuracy

Accuracy & Validation

Both Solcast’s & Solargis’ models have been independently validated using multiple locations globally. Solcast’s model has been compared with BSRN ground station measurements, available in the public domain. You can request a copy of our validation data, see accuracy and validation.

A summary of Solcast’s and Solargis’s global hourly mean GHI & DNI validation results is given below.

GHI

  Solcast Solargis
Mean bias error 0.0% 0.3%
Bias standard deviation 2.0% 3.0%
Uncertainty [-4.0%, 4.0%] [-5.7%, 6.3%]
MAE 11.6% Not published

DNI

  Solcast Solargis
Mean bias error 0.2% 2.2%
Bias standard deviation 4.7% 5.3%
Uncertainty [-9.2%, 9.6%] [-8.4%, 12.8%]
MAE 24.5% Not published

Understanding bias helps to understand a possible error of the long-term estimate. Bias variability and RMSE are important for estimating the accuracy of energy simulations and operational calculations. Both models show an average of biases of near zero. Both models are symmetrically centered.

The Solcast data has less variability than Solargis. A lower mean bias deviation means Solcast data is represented by a narrower probability distribution. This means, on average, Solcast data is more likely to be closer to the ground truth than Solargis. For yield analysis, energy simulations, PPAs, project planning and development, technical due diligence, and financing, selecting a dataset with the lowest long term uncertainty and variability is key.

You can find more details on the validation of the Solcast dataset on the accuracy and validation page.

Model Inputs

Satellite Resolution

The Solcast methodology is semi-empirical and satellite-derived. We begin using validated, published models that offer excellent performance to build clear sky models. We combine this with the ‘secret sauce’, our in-house methods for detecting and tracking clouds. This lets us model the amount and type of solar radiation reaching any particular 1-2 km2 grid cell. For more details see inputs and algorithms.

The Solargis methodology is similar. It is semi-empirical and satellite-derived, relying on validated, published models to build a clear sky model, and uses a proprietary cloud detection model. The Solargis cloud model has a lower resolution than the Solcast model, based around a 4 km2 grid.

Elevation and altitude

Solcast maps altitude and elevation with a grid size of 150m2, compared with a 250m2 grid used by Solargis. In regions of extreme local topography, Solcast is able to map small elevation changes at a finer level than Solargis.

Use of old satellites

Solcast only uses data from recent generation geostationary meteorological satellites (GMS). For this reason, we do not use data prior to 2007. Prior to this time, we find that too many of the GMS satellites have significant data quality problems including geolocation, poor temporal sampling frequency, and unreliable, bad or drifting data signatures. This ensures our entire database is based on data of the highest possible resolution, whilst still containing 12+ years of data history from which to understand the interannual variability. Users can be sure our accuracy and validation statistics apply to all our data, not just the most recent half of it.

We don’t believe in using data from older satellites. With longer refresh rates and larger spatial resolutions, it’s just not possible to produce bankable solar radiation assessments with the certainty demanded by the solar community. We’re firm of the opinion that bad data in, bad data out.

Solargis has an extensive database, compiled using high-resolution new satellites, and lower-resolution, pre-21st century satellites.

  Solcast Solargis
Resolution of satellite data 1-2 km 3-4 km
Use of 10+ years of satellite data at full temporal resolution
Ignores older, less reliable satellites

PV Simulation Software

Solargis has supporting simulation software (pvPlanner, Prospect, and iMaps) that assists users in prospecting and pre-feasibility PV modeling. If you need PV simulation tools and features, you may be better with Solargis - Solcast is a data provider rather than a tools provider.

Solcast has focused its efforts on producing solar resource data with the understanding that common PV simulation software have advanced capabilities for system design and energy modeling. We make our solar resource data available in multiple file formats, ready-to-import to the most popular software used by the community.

Data Availability

Solcast and Solargis both offer near-global coverage (latitudes higher than 60-70 degrees are not effectively covered by geostationary satellite images). Solcast offers data from as recent as last week. Data parameters available are shown below.

Data parameters available

  Solcast Solargis
Most recent data available 7 days ago Last Month
Global Horizontal Irradiance (GHI)
Direct Normal Irradiance (DNI)
Diffuse Horizontal Irradiance (DHI)
Global Tilted Irradiance (GTI/POA)
Air Temperature (TEMP)
Albedo
Wind Speed (WS)
Wind Direction (WD)
Relative Humidity (RH)
Atmospheric Pressure (AP)
Precipitable Water (PWAT)
Snow Depth (SWDE)
Dewpoint (DWPT)
Cloud Opacity

Solcast strives to make our data easy to use, immediately. Our data is usually available within 1 to 9 minutes of ordering. Our data is available in the following ready-to-import formats.

Data files available

  Solcast Solargis
Download Wait Time 1-9 minutes Up to 48 hours
TMY3
CSV
PVsyst (CSV)
SAM (CSV)

Pricing

Solcast offers the best value for money and much lower risk for developers, operators and investors into solar power plants. Whether you are evaluating just a single site, or your company conducts scores of assessments a year, Solcast is consistently cheaper than Solargis. We also offer users the ability to purchase TMY and Time Series data separately, so you don’t have to pay for what you don’t need. See details on the Solcast Pricing Page

TMY Time Series TMY & Time Series
Solcast Solargis Solcast Solargis Solcast Solargis
Single site $400 N/A $400 (full record), or $100 per year €1000 (full record), or €500 per year $800 €1250
25 sites $120 N/A $120 (full record), or $30 per year N/A $240 €400
100 sites $96 €100 $96 (full record), or $24 per year N/A $192 €300

In addition to commercial pricing, Solcast offers free access to data for researchers. Solcast also provides every account registered with some initial credit, so users can get the feel of how our system works, and get your hands on some data quickly - Try it now.

  Solcast Solargis
Free data to researchers
Free credit to every new account

Test now, free

Get free historical data credits when you sign up, so you can try our data for yourself. You can download data automatically within around 1 to 9 minutes of submitting your request.