Products
menu item
Prospect
Quick estimate of PV site's solar potential
menu item
Evaluate
Time Series & TMY data for energy modelling
menu item
Monitor
Real-time PV output assessment
menu item
Forecast
Solar power output forecast for up to 14 days
menu item
Analyst
Simplified & unified solar data management
menu item
Integrations
Automate delivery of Solargis data
Use cases
menu item
Site selection
Find the right solar project location
menu item
Energy yield simulation
Analyze potential gains and risks
menu item
Optimizing power plant design
Find optimum power plant design
menu item
Real power plant performance
Discover the true output
menu item
Power output forecast
Predict solar project energy output
menu item
Ground data verification
Verify quality of solar & meteo measurements
Solar Resource & Meteo Assessment
Detailed solar resource validation and assessment
Site Adaptation of Solargis Models
Combining satellite data with on-site measurements
Quality Control of Solar & Meteo Measurements
Correction of errors in ground-measured data
Customized GIS Data
Customized Solargis GIS data for your applications
PV Energy Yield Assessment
Estimated energy uncertainties and related data inputs
PV Performance Assessment
Energy estimate for refinancing or asset acquisition
PV Variability & Storage Optimization Study
Understand output variability across wide geo regions
Regional Solar Energy Potential Study
Identification of locations for solar power plants
Our expertise
How our technology works
Methodology
How we transform science into technology
API & integration
How to integrate Solargis data via API
Product guides & documentation
Release notes
Success stories
Blog
Ebooks & Whitepapers
Webinars
Publications
Events
Free Maps & GIS Data
Solar performance maps
About Solargis
Partners
ISO Certification
Careers
Branislav Schnierer

Posts by Branislav Schnierer

The pros and cons of 1-minute, 15-minute, and 60-minute solar data
Best practices

The pros and cons of 1-minute, 15-minute, and 60-minute solar data

Depending on the source and desired application, solar data can have distinctive temporal resolutions, such as sub-hourly (1-, 2-, 5-, 10-, 15-, 30-minute) or hourly intervals. But how are you supposed to know the difference, and why should you care?

4 reasons why PV project designers need 1-minute data
Best practices

4 reasons why PV project designers need 1-minute data

To design optimal PV projects, designers must consult 1-minute data which paint the most accurate picture of a plants’ PV power potential and output, while providing increased financial certainty to solar investors.

Growing Pain #1: Maximising efficiency and minimising risk in large-scale project design
Best practices

Growing Pain #1: Maximising efficiency and minimising risk in large-scale project design

Ten years ago, an average solar PV project was a relatively simple affair, comprising 10MW of fixed, monofacial modules. The market has moved on a long way since then. Now, typical solar farms approach 100MW in size and may use a range of technologies such as bifacial, intelligent tracking and floating modules, creating new possibilities for more efficient energy production.

Webinar: Self-shading analysis in PV simulation
Best practices

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.

About the author

Branislav Schnierer
Branislav SchniererHead of Consultancy
Branislav received MSc in electronics at the Faculty of electrical engineering at the Slovak University of Technologies, in Bratislava, Slovakia. Since 2010 he has been working as a support for energy auditors and bank supervision for photovoltaic power plants, focusing on energy audits, on-site photovoltaic power plant inspection during construction and performance guarantee measurements. At Solargis since 2012, he is leading the team providing photovoltaic power plants consultancy and customer support and helping with development of a new photovoltaic power plant simulation software. Branislav also developed and is currently managing two solar and meteorological measurement stations.