Disclosed herein is a technique of configuring flexible photovoltaic tracker systems with high damping and low angle stow positions. Under dynamic environmental loads implementing a high amount of damping (e.g., greater than 25% of critical damping, greater than 50% of critical damping) or a very high amount of damping (e.g., 100% or greater of critical damping, infinite damping) enables the flexible tracker system to prevent problematic aeroelastic behaviors while positioned in a low stow angle. The disclosed technique is further applied to a prototyping process during wind tunnel testing.

A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.

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 power generation prediction system using a first and second neural networks is provided, and the first neural network is connected to the second neural network. The first neural network receives first input data, and generates the amount prediction data according to the first input data. The first input data is used to determine amount prediction data, and the amount prediction data is used to determine power generation prediction data. The second neural network receives the amount prediction data, and calculates the power generation prediction data according to the amount prediction data. When a device in a selected area is deteriorated or reinstalled, the second neural network is fine-tuned and trained again. The power generation prediction data is a power generation prediction bound having a maximum and minimum power generation prediction values, and thus the power deployment terminal in a power grid can deploy power more precisely.

A method may include orienting a set of solar power units in a first position in which rows of solar power units are shaded by adjacent rows of solar power units; and monitoring energy generated by the set of solar power units over a window of time, that includes from when the set of solar power units are oriented in the first position until a sun angle corresponds to none of the rows being shaded by the adjacent rows. The method may include identifying a knee in energy generation during the first window of time, where the knee indicates a transition from higher to lower rates of change of energy generation at a given solar angle. The method may include plotting a trajectory of future orientation positions over time of the set of solar power units that include an orientation and time corresponding to the given solar angle.

A method, apparatus and user interface for component placement for components of a system including a solar energy generation system, an energy storage system or both. The method receives indicium of a location for installation of the system, receives indicium of energy requirements for the facility at the location, and retrieves at least one image comprising one or more of a roof view of the facility, a digital surface map containing the facility or an irradiance map of the facility. Based, at least in part, on one or more of the digital surface map or the irradiance map, determining locations for placement of components of the system, and rendering an image of the facility including the components positioned at the determined locations.

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.

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 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 and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.