Using only the measure of output power from a solar installation, this method allows for the determination of azimuth and tilt-angle at which a panel is installed and calculation of the solar radiation received by the panel in generating the measured output power.
Presently, if one wishes to ascertain the installation parameters of a solar panel, or series of panels, a manual field measurement is required using an inclinometer and compass. This is a burdensome manual process, which along with the alternative approach of airborne remote sensing for azimuth and tilt-angle, is cost prohibitive. By simply analyzing the output power from the PV system, the azimuth and tilt-angle for any panel installation can be assessed, providing validation that the system is installed and operating per design. This capability should find ready application in validating solar installations for managing rebate programs (e.g. California’s rebate payments are partially based on tilt and azimuth angle) and ensuring optimal alignment of panels by system operators.
Advantages
Another benefit of the present system is the enablement of an efficient calculation of the Global Horizontal Irradiance (GHI) across a geographic area, allowing system designers and operators to ideally place solar panels in zones where maximum energy generation is possible. Current methods employ satellite and ground sensors, both expensive, whereas the current method could turn all available solar panels into irradiance sensors, analyzing only their output power.
Other benefits of a real-time GHI assessment can be realized by solar forecasters, who need GHI measurements to optimize forecasting models. Operators need contact with forecasters to understand the future power generation potential of their solar assets to maximize profit or reduce penalties by ‘scheduling’ the power generation into the electric markets. Future traders could also benefit from a more accurate and real-time GHI measurement, knowing when solar production may ebb or spike, affecting more traditional sources of electrical generation, such as gas-fired turbines.
State Of Development
This technology is currently proto-typed in a MATLAB code and tested and ready for commercial development.
Tech ID: 21354 / UC Case 2011-145-0
