The proper siting of a solar power system is critical to its success. However, siting a solar power system can be taxing because of the varying nature of the sun. Weather fluctuations and seasonal position changes can have significant effects on a system’s performance. These and other factors should always be examined by business’s when considering any renewable energy project.
The information below can be helpful in your assessment, however, we recommended you speak to a solar expert to ensure accurate siting and to explore all incentives.
Cooperative Networks for Renewable Resource Measurements (CONFRRM) Solar Energy Resource Data
Provides solar radiation and wind measurement data for select U.S. locations.
Lawrence Berkeley National Laboratory Reduced Circumsolar Radiation Database
Provides detailed intensity profiles of the solar and circumsolar region, direct normal radiation data, and total hemispherical solar radiation data for 11 U.S. locations from 1976 to 1981.
Measurement and Instrumentation Data Center (MIDC)
Provides near real-time solar irradiance and meteorological data for several U.S. locations.
National Oceanic and Atmospheric Administration Solar Data
Provides archived solar radiation information from a network of 39 stations throughout the United States.
Solar Resource Variability Data
Data and maps demonstrating the variability in both time and space of the solar resource across the United States.
Provides integrated standard spectral irradiance data for the United States from a variety of sources.
Bird Clear Sky Model
This algorithm estimates clear sky direct beam, hemispherical diffuse, and total hemispherical solar radiation for horizontal planes.
Bird Simple Spectral Model
This model computes clear sky spectral direct beam, hemispherical diffuse, and hemispherical total irradiances on tilted or horizontal planes.
DISC estimates direct beam irradiance from user-supplied hourly average measured global horizontal data.
PVWatts® Calculator is a web application that estimates the electricity production of a grid-connected roof- or ground-mounted photovoltaic system based on a few simple inputs.
System Advisor Model (SAM)
The System Advisor Model (SAM) is a performance and financial model designed to facilitate decision making for people involved in the renewable energy industry.
Simple Model of the Atmospheric Radiative Transfer of Sunshine (SMARTS)
SMARTS computes clear sky spectral irradiances for a set of user-specified atmospheric conditions.
Solar and Moon Position Algorithm (SAMPA)
SAMPA calculates the Sun and Moon position with very low uncertainty based on location, date, and time inputs for the years -2000–6000. This algorithm can be used for solar eclipse monitoring and estimating the influence on solar irradiance.
Solar Position Algorithm (SPA)
SPA calculates the solar position with very low uncertainty based on location, date, and time inputs for the years -2000–6000.
Solar Position and Intensity (SOLPOS)
SOLPOS calculates the solar position and intensity based on location, date, and time inputs for the years 1950–2050.