Abstract:
Systems and automated methods for predicting photovoltaic (PV) generation are provided. Weather forecast data and present-day and historical PV generation data are provided to respective predictors. The predictors derive weighted predictions that are used to calculate a Bayesian model average. Near-future generation by the PV system is predicted using the Bayesian model average. Production rates, worker scheduling, hours of operation and other planning decisions can be made in accordance with the predicted near-future generation.
Abstract:
Some embodiments include a method of operating a computing device for performing solar shading analysis. The method can include: receiving a multimedia message from a mobile device, the multimedia message including a photograph of an image of sky reflected off of a reflective dome attached to an apparatus platform; identifying an unobstructed sky area and an obstructed sky area in the photograph; computing a shading percentage based on relative portions of the unobstructed sky area and the obstructed sky area; and generating a solar analysis report including the shading percentage, in response to receiving the multimedia message.
Abstract:
A method for managing distributed renewable energy systems comprising receiving first meter data for a plurality of first meters, each of the plurality of first meters associated with a renewable energy power generation component at an institution and measuring an amount of power generated by each associated renewable energy power generation component over a first period of time. Receiving second meter data for a plurality of second meters, each of the plurality of second meters associated with an institution having a renewable energy power generation component and measuring an amount of power consumed by each associated institution over a period of second time. Determining a difference between the amount of power measured by each of the first meters and the amount of power measured by a corresponding one of each of the second meters at each institution.
Abstract:
Adherence to flux or resultant measurable parameter limits, ranges, or patterns can be achieved by directing heliostat mounted mirrors to focus on aiming points designated on the surface of a solar receiver. Different heliostats can be directed to different aiming points, and a heliostat can be directed to different aiming points at different times. The cumulative flux distribution resulting from directing a plurality of heliostats to any aiming point on a receiver surface can be predicted by using statistical methods to calculate the expected beam projection for each individual heliostat or alternatively for a group of heliostats. Control of the heliostats in a solar power system can include designating aiming points on a receiver from time to time and assigning heliostats to aiming points from time to time in accordance with an optimization goal.
Abstract:
A user display for a healthy home or like building structure. The user display includes a hardware housing and a display device coupled to the hardware housing. The user display further includes a plurality of graphical objects corresponding respectively to a plurality of different loads numbered from a through N, where N is an integer greater than 1. The loads can include, among others, air conditioning, water, heat, electricity, swimming pool, and others. Each of the graphical objects is displayed in a common unit of measurement and comprises a total demand portion and a fraction of renewable energy portion.
Abstract:
Aspects of the disclosure are directed to, for example, methods for operating a node manager such as a node manager operably coupled to a solar tracker assembly. In one embodiment, the method includes providing control signals to motors of the solar tracker assembly to control an orientation of a photovoltaic array and receiving status information form one or more sensors configured to measure at least one of ambient, operating, and performance conditions local to tracker electronics of the tracker assembly. The method further includes modifying the control signals based, at least in part, on the status information and communicating, via the tracker electronics, at least a portion of the status information over a cellular communication via a cellular link.
Abstract:
In a hot water supply system having a solar heater that heats a heating medium with absorbed solar heat, a cogeneration unit that heats the medium by heat exhausted from an engine, a hot water supply unit with a heat exchanger for heat-exchanging between the medium and water supplied from a water supply source to generate the hot water, a medium circulator that circulates the medium among the solar heater, cogeneration unit and heat exchanger, an electric heater that heats the hot water with the power generated by the generator, a heat absorption amount to be adsorbed by the solar heater is estimated and operations of the cogeneration unit and the electric heater are controlled based on the estimated heat absorption amount, thereby enabling to improve energy efficiency of the entire system.
Abstract:
Adherence to flux or resultant measurable parameter limits, ranges, or patterns can be achieved by directing heliostat mounted mirrors to focus on aiming points designated on the surface of a solar receiver. Different heliostats can be directed to different aiming points, and a heliostat can be directed to different aiming points at different times. The cumulative flux distribution resulting from directing a plurality of heliostats to any aiming point on a receiver surface can be predicted by using statistical methods to calculate the expected beam projection for each individual heliostat or alternatively for a group of heliostats. Control of the heliostats in a solar power system can include designating aiming points on a receiver from time to time and assigning heliostats to aiming points from time to time in accordance with an optimization goal.
Abstract:
Systems and automated methods for predicting photovoltaic (PV) generation are provided. Weather forecast data and present-day and historical PV generation data are provided to respective predictors. The predictors derive weighted predictions that are used to calculate a Bayesian model average. Near-future generation by the PV system is predicted using the Bayesian model average. Production rates, worker scheduling, hours of operation and other planning decisions can be made in accordance with the predicted near-future generation.
Abstract:
A modular geothermal measurement system that provides for the pumping of a heat transfer fluid. The modular unit simplifies on-site installation time by reducing the number of distinct components to be installed and allows for the optional incorporating of additional heat sources or sinks, whereby the length of ground loop can be reduced, further reducing installation costs. The modular measurement system further allows for the growth of the system over time by adding modules, increasing the ground loop pumping power while providing energy transfer data specific to each thermal load. A controller having an energy control module provides energy control points. Such a system allows the beneficiary of a geothermal investment to be billed for their benefit, enabling the investor to capture the economic benefit of the investment.