Locus Energy, LLC Patent applications |
Patent application number | Title | Published |
20140278108 | Methods and Systems for Optical Flow Modeling Applications for Wind and Solar Irradiance Forecasting - A method of forecasting cloud motion: gathering a time-series of satellite imagery; transforming the time-series of satellite imagery into a cloudiness index image by establishing an upper and lower limit of visible pixel values for time t; calculating the cloudiness index at each pixel location for time t to provide a cloudiness index image; applying optical flow modeling to the cloudiness index image by assuming pixel value constancy across time; assuming motion to be small and approximating the motion with a Taylor series; assuming vector field is smooth locally; selecting all pixels within d distance of location n with the same prior vector field (m*m pixels); solving system of m*m equations in the least square sense; repeat at multiple resolutions; and calculating cloud motion vectors from multiple resolution vector fields; applying the cloud motion vectors to the cloudiness index image to predict future cloud position and intensity. | 09-18-2014 |
20140278107 | METHODS AND SYSTEMS FOR REAL-TIME SOLAR FORECASTING INCORPORATING A GROUND NETWORK - This application relates generally to systems and methods for validating solar irradiance nowcasts, solar power nowcasts and forecasts in real-time using a network of solar power systems and solar irradiance sensors. This application also relates to systems and methods for augmenting solar irradiance forecasts and solar power forecasts in real-time using a network of solar power systems and solar irradiance sensors. | 09-18-2014 |
20140188410 | Methods for Photovoltaic Performance Disaggregation - The present invention provides methods of calibrating photovoltaic model parameters to improve modeling accuracy of photovoltaic power product ion, methods for determining as-built photovoltaic production expectations, methods for determining weather-adjusted photovoltaic performance, methods for determining and quantifying energy losses due to equipment mismatch, methods for determining and quantifying energy losses due to snow, methods for determining and quantifying energy losses due to equipment downtime, methods for determining and quantifying energy losses due to shading, methods for determining and quantifying energy losses due to soiling and equipment degradation. | 07-03-2014 |
20140180637 | IRRADIANCE MAPPING LEVERAGING A DISTRIBUTED NETWORK OF SOLAR PHOTOVOLTAIC SYSTEMS - A computer processor implemented method of developing irradiance mapping using a distributed network of solar photovoltaic systems, the method comprising the steps of: selecting a predetermined geographic area having at least five solar photovoltaic systems to provide a photovoltaic system; calibrating the photovoltaic system; reversing the photovoltaic system performance model using a computer processor to solve the irradiance input value; calculating irradiance according to irradiance input value, energy output and weather data using the computer processor to provide a single irradiance point; and mapping at least two single irradiance points to create an irradiance map. | 06-26-2014 |
20130289791 | COMPARIBLE DIAGNOSTICS FOR RENEWABLE ENERGY POWER SYSTEMS - A computer processor implemented method of measuring, monitoring, comparing and diagnosing the power generated of at least two renewable power systems provided to at least two consumers and alerting at least one of consumers in the event of comparative underperformance, the method taking into account at least two diagnostic variables including weather and the renewable power system cover status (such as covered by snow), wherein the at least one computing device determines comparative information for a predetermined geographic area based upon at least two diagnostic variables, and at least two normalized performances to provide a comparative value; and informing the consumer of the comparative value in the event of an underperforming comparative value. | 10-31-2013 |