A method for controlling the orientation of a single-axis solar tracker (1) orientable about an axis of rotation (A), said method implementing the following steps: a) observing the evolution over time of the cloud coverage above the solar tracker (1); b) determining the evolution over time of an optimum inclination angle of the solar tracker (1) substantially corresponding to a maximum of solar radiation on the solar tracker (1), depending on the observed cloud coverage; (c) predicting the future evolution of the cloud coverage based on the observed prior evolution of the cloud coverage; d) calculating the future evolution of the optimum inclination angle according to the prediction of the future evolution of the cloud coverage; e) servo-controlling the orientation of the solar tracker (1) according to the prior evolution of the optimum inclination angle and depending on the future evolution of the optimum inclination angle.

The present invention finds application in the field of solar trackers.

A method for controlling the orientation of a single-axis solar tracker (1) orientable about an axis of rotation (A), said method repetitively completing successive control phases, where each control phase implements the following successive steps:

a) observing the cloud coverage above the solar tracker (1);

b) comparing the observed cloud coverage with cloud coverage models stored in a database, each cloud coverage model being associated to an orientation setpoint value of the solar tracker;

c) matching the observed cloud coverage with a cloud coverage model;

d) servo-controlling the orientation of the solar tracker by applying the orientation setpoint value associated to said cloud coverage model retained during step c).

The present invention finds application in the field of solar trackers.

A method for controlling the orientation of a single-axis solar tracker (1) orientable about an axis of rotation (A), said method repetitively completing successive control phases, where each control phase implements the following successive steps: a) observing the cloud coverage above the solar tracker (1); b) comparing the observed cloud coverage with cloud coverage models stored in a database, each cloud coverage model being associated to an orientation setpoint value of the solar tracker; c) matching the observed cloud coverage with a cloud coverage model; d) servo-controlling the orientation of the solar tracker by applying the orientation setpoint value associated to said cloud coverage model retained during step c).

The present invention finds application in the field of solar trackers.

A system for measurement of monochromatic attenuation for each wavelength of the spectrum, understood as such the attenuation at a wavelength of the spectrum with the spectral width provided by the measurement equipment, of the spectral attenuation in the spectral range of measurement, understood as such the set of monochromatic attenuations at all the wavelengths throughout the spectral range of measurement, and the total attenuation, understood as such the attenuation calculated by the integration of the spectral attenuation in the spectral range of measurement weighted with the solar spectrum. A method for measurement, providing measurement of attenuation in the entire spectral range for the best energy system efficiency evaluation and for achieving a differential measurement of meteorological phenomena causing the attenuation, providing relevant information for the meteorological forecast in this specific field, which can be used for evaluating the attenuation phenomenon for solar plants site selection and for operating plants.

The solar energy and solar farms are used to generate energy and reduce dependence on oil (or for environmental purposes). The maintenance, operation, optimization, and repairs in big farms become very difficult, expensive, and inefficient, using human technicians. Thus, here, we teach using the robots with various functions and components, in various settings, for various purposes, to improve operations in big (or hard-to-access) farms, to automate, save money, reduce human mistakes, increase efficiency, or scale the solutions to very large scales or areas, e.g., for repair, operation, calibration, testing, maintenance, adjustment, cleaning, improving the efficiency, and tracking the Sun.

A method for controlling the orientation of a single-axis solar tracker orientable about an axis of rotation, including observing the evolution over time of the cloud coverage above the solar tracker; determining the evolution over time of an optimum inclination angle of the solar tracker substantially corresponding to a maximum of solar radiation on the solar tracker, depending on the observed cloud coverage; predicting the future evolution of the cloud coverage based on the observed prior evolution of the cloud coverage; calculating the future evolution of the optimum inclination angle according to the prediction of the future evolution of the cloud coverage; servo-controlling the orientation of the solar tracker according to the prior evolution of the optimum inclination angle and depending on the future evolution of the optimum inclination angle.

A device comprises a platform constructed and arranged to be mounted to one or more solar array modules and one or more solar irradiance sensors on the platform configured to receive incident solar energy, the one or more solar irradiance sensors oriented on the platform so that the received incident solar energy is comparable to that received by the solar array modules, the one or more solar irradiance sensors providing solar irradiance signals in response to the incident solar energy. A processor is on the platform, the processor configured to receive the solar irradiance signals and, in response, generating a performance reference metric based on the solar irradiance signals, the performance reference metric related to the expected performance of the one or more solar array modules to which the platform is mounted. A transmitter is on the platform, the transmitter configured to periodically transmit the performance reference metric to a receiver.

A method for controlling the orientation of a solar module including a single-axis solar tracker orientable about an axis of rotation, and a photovoltaic device supported by said tracker and having upper and lower photoactive faces, including: measurement of a distribution of the solar luminance called incident luminance originating from the incident solar radiation coming from the sky to reach the upper face, said distribution being established according to several elevation angles; measurement of a distribution of the solar luminance called reflected luminance originating from the albedo solar radiation corresponding to the reflection of the solar radiation on the ground to reach the lower face, said distribution being established according to several elevation angles; determination of an optimum orientation considering the measurements of said distributions of the incident and reflected solar luminance; servo-control of the orientation of the module on said optimum orientation.

A solar tracking system (200) comprises multiple solar panel modules (SPMi) forming a grid of solar panel modules, wherein the multiple solar panel modules (SPMi) are orientatable to a solar source independently of each other; and a control system (SPCi) configured to orient each of the multiple solar panel modules (SPMi) to the solar source independently of each other based on a performance model to optimize an energy output from the grid of solar panel modules, wherein the performance model predicts an energy output from the grid of solar panel modules based on a topography of the area containing the grid of solar panel modules and weather conditions local to each of the solar panel modules (SPMi).

Method of forecasting heat output of a solar collector. First, heat output for a plurality of solar collectors is simulated, located at respectively different geographic locations but having the same solar collector settings as the solar collector to be forecasted. The simulation is performed by calculating a dataset of theoretical heat outputs for the plurality of solar collectors, based on acquired related weather data. From the calculated dataset a function is adjusted, the function defining the theoretical heat output of any solar collector related to its geographic location, e.g. latitude, solar Direct Normal Irradiation, DNI, and collector settings, e.g. operation temperature, and forecasting the heat output of the solar collector based on the adjusted function. When traditional methods for estimating heat output require substantial amounts of measurements and processing capacity, the proposed method may instead enable an efficient and appropriate method of producing precise estimations of heat output.