144results about "Sunshine duration recorders" patented technology

A method for assessing solar insolation potential upon existing building rooftops in a given region comprises: (a) computing Global Horizontal Insolation values based on topographical Digital Elevation Model (DEM) data for the region; computing a Sky Transmissivity parameter as it affects Global Horizontal Insolation based on available climate and cloud cover data for the region; (c) applying an Albedo parameter for ground reflectivity and scattering to determine Diffuse Insolation values; (d) applying a Shading Coefficient based on measuring shadow surface areas in relation to total area from aerial photographs of the region over defined times and periods; (e) determining Total Building Roof Area based on image analysis of aerial photographs of the region, and applying a typical roof slope factor; (f) estimating typical Roof Slope, Type, and Orientation (azimuth) selected from a defined set (vocabulary) of rooftop types based on a visual survey of the region; and (g) calculating Total Building Rooftop Insolation Potential for the given region based the values determined.

A Solar Access Measurement Device (“SAMD”) located at a predetermined position is disclosed. The SAMID may include a skyline detector enabled to detect a skyline of a horizon relative to the SAMD, an orientation determination unit enabled to determine the orientation of the skyline detector, and a processor in signal communication with the skyline detector and orientation determination unit.

A system and method for identifying the solar potential of rooftops. In one embodiment, solar-potential criteria and three-dimensional spatial data and tabular data, for a selected area including parcels on which the rooftops are located, are entered into a geographic information system. Three-dimensional aerial data of the selected area, including the rooftops in the selected area, is collected. Solar azimuth and altitude angles are calculated for regular intervals to generate shadow simulation data representing shadows cast onto the rooftops by obstructions. The shadow simulation data is intersected with the XYZ coordinates of the rooftop shapes, as determined from the aerial data, to generate rooftop shade patterns for specific intervals over a specific period of time. The tabular data and the rooftop shade patterns are then used to determine addresses and per-parcel specifications of buildings having said rooftops meeting the solar-potential criteria.

A method for forecasting reduction in sunlight intensity due to cloud cover at a photovoltaic power plant is described. The method comprises determining characteristics of one or more clouds from sensors surrounding the photovoltaic power plant. The cloud characteristics are used to create a 3D map of the clouds. The 3D map in combination with information on the angle of the sun is used to create a 3D projection on the surface of the earth, resulting in a 2D surface irradiance map. The 2D surface irradiance map may be taken in successive projections or used in combination with wind speed data to forecast fluctuation in irradiance at the photovoltaic power plant. The forecasted reductions in power may be used to enact measures at the plant such as reducing the power output of inverters to prevent sudden fluctuations in the power output of the photovoltaic plant feeding the utility.

A computer implemented method of estimating at least one solar irradiance component, the method comprising: obtaining a sensor measurement from an instrument to provide a measured global horizontal irradiance (GHI_measured), wherein the measured global horizontal irradiance (GHI_measured) consists of at least an estimated diffuse horizontal irradiance (DHI_estimated) and an estimated direct normal irradiance (DNI_estimated); providing at least one modeled component, wherein at least one of the modeled components is a modeled global horizontal irradiance based on an atmospheric model (GHI_model); calculating an irradiance estimate modifier (IMOD) in a computing device according to the measured global horizontal irradiance (GHI_measured) and the modeled global horizontal irradiance (GHI_model); and providing at least one estimated solar irradiance component by a computing device according to the irradiance estimate modifier (IMOD) and at least one modeled component.

A multifunctional sky camera system and techniques for the use thereof for total sky imaging and spectral irradiance/radiance measurement are provided. In one aspect, a sky camera system is provided. The sky camera system includes an objective lens having a field of view of greater than about 170 degrees; a spatial light modulator at an image plane of the objective lens, wherein the spatial light modulator is configured to attenuate light from objects in images captured by the objective lens; a semiconductor image sensor; and one or more relay lens configured to project the images from the spatial light modulator to the semiconductor image sensor. Techniques for use of the one or more of the sky camera systems for optical flow based cloud tracking and three-dimensional cloud analysis are also provided.

A computer to improve prediction of solar output for a solar power system that includes a processor and a memory. The memory has software code which when executed causes the computer to receive power output data from the solar power system, calculate a statistical mean of the power output data, receive solar hour information from an almanac system and generate an almanac predicted power output for the solar power system for the specified time period. The computer receives weather information for the specified time period from a weather predicting source and calculates a weather prediction-to-solar almanac ratio based on a comparison of the solar hour information to the weather information. The computer generates a predicted power output for the specified time period by multiplying the almanac predicted power output for the solar power system by the weather prediction-to-solar almanac ratio and stores the predicted power output for the specified time period.

A method for generating a solar power output forecast for a solar power plant, comprising: using a processor, in a training mode, generating a trained artificial intelligence model using historical output data and historical input data including historical physical subsystem input data and historical physical subsystem forecasts for the solar power plant; in a runtime mode, for a predetermined forecast horizon, applying the trained artificial intelligence model to current input data including current physical subsystem input data and current physical subsystem forecasts for the solar power plant to produce the solar power output forecast; and, presenting the solar power output forecast on a display.

An apparatus receives a digital image of a sun trace chart having time gradient lines and a sun trace extent line for a site. A selector defines on a display points along the solar trace extent line to define a solar opportunity region. An adjuster adjusts the digital image based on the magnetic declination of the site. The solar exposure potential is determined based on the proportion of solar trace extent lines within solar opportunity region and potential solar exposure. Site adjustments to increase solar energy potential are facilitated. A method of evaluating a site for solar energy potential is disclosed. A solar exposure device for recording and analyzing a solar trace is disclosed.

An extrapolation system includes acquiring a first orientation-referenced image at a first position, acquiring a second orientation-referenced image at a second position having a vertical offset from the first position, and processing the first orientation-referenced image and the second orientation-referenced image to provide an output parameter extrapolated to a third position that has an offset from the first position and the second position.

A method for predicting location of the sun in an image space. The method includes providing a set of calibration images and offline intrinsic calibration of a camera and optical element. An extrinsic parameter calibration is then performed based on the calibration images and mapping between local three dimensional coordinates and real world three dimensional coordinates to provide an extrinsic projection matrix. The method also includes providing a real time image of the sky and determining sun location in spherical space based on the extrinsic projection matrix and a real time sun location in the world coordinate system for the real time image. A three dimensional vector is then mapped to provide a corrected two dimensional ideal point. Next, an inverse affine transformation is performed to provide a two dimensional real image point in image space.

The present inventors have developed a ground station that, when installed in a field, can collect upwelling and downwelling radiation, and GPS location coordinates, Data from remotely sensed imagery (RSI) can he used to monitor crop health. Use of the ground station can obviate the need for personnel to he deployed into the field during drone overflights for management of agriculture.

An electronic apparatus and an ultraviolet avoidance information providing method are provided. The electronic apparatus includes a display; a biometric information acquisition module that acquires biometric information of a user; a location information acquisition module that acquires location information of a particular location; an ultraviolet intensity information acquisition module that acquires ultraviolet intensity information corresponding to the acquired location information; and a processor that controls the display to display ultraviolet avoidance information for avoiding ultraviolet light at the particular location based on the acquired biometric information and the acquired ultraviolet intensity information.

The present invention provides methods and systems to estimate energy losses due to shading in PV systems from data including the measured energy and power produced over the lifetime of the system, the system size and configuration data, the weather conditions (including irradiance, ambient & panel temperature, and wind conditions) over the lifetime of the system, and derived meteorological condition information (e.g., decomposed irradiance values at any time).

The invention discloses a sunshine duration measuring method based on sky visible-light images. The sunshine duration measuring method includes acquiring a series of sky visible-light images by image acquisition equipment at preset intervals; searching high-brightness pixels in a preset area of each sky visible-light image and counting the quantity of the high-brightness pixels; judging whether sunshine is shot in each sky visible-light image or not; determining that the sunshine is shot in a certain sky visible-light image when the quantity of the high-brightness pixels of the sky visible-light image is larger than or equal to a high-brightness pixel quantity threshold, and determining that the sunshine is not shot in the certain sky visible-light image when the quantity of the high-brightness pixels of the sky visible-light image is smaller than the high-brightness pixel quantity threshold; and computing sunshine duration according to the time interval and the quantity of the sky visible-light images shot with the sunshine. The relevance among the sky visible-light images and the direct solar irradiation intensity is built by means of fitting analysis, and accordingly the novel method for detecting or measuring the direct solar irradiation intensity in an image processing and analyzing mode is provided. The method provides a novel selectable scheme for measuring the sunshine duration.

Methods and systems for predicting irradiance include learning a classification model using unsupervised learning based on historical irradiance data. The classification model is updated using supervised learning based on an association between known cloudiness states and historical weather data. A cloudiness state is predicted based on forecasted weather data. An irradiance is predicted using a regression model associated with the cloudiness state.

In an approach for estimating solar array power generation for an installation of a solar array, a processor determines a location of an installation of a solar array. A processor determines, over a course of a specified time interval, a path of traversal of a source of energy relative to the location of the installation of the solar array. A processor scans an area surrounding the solar array. A processor estimates, based, at least in part, on the path of traversal of the source of energy and the area surrounding the solar array, an amount of power to be generated by the solar array.

A method for solar forecasting includes receiving a plurality of solar energy data as a function of time of day at a first time, forecasting (620) from the solar energy data a mode, where the mode is a sunny day, a cloudy day, or an overcast day, and the forecast predicts the mode for a next solar energy datum, receiving (622) the next solar energy datum, updating a probability distribution function (pdf) of the next solar energy datum given the mode, updating a pdf of the mode for the next solar energy datum from the updated pdf of the new solar energy datum given the mode, forecasting (624, 626) a plurality of future unobserved solar energy data from the updated pdf of the mode, where the plurality of future unobserved solar energy data and the plurality of solar energy data have a Gaussian distribution for a given mode determined from training data.

A landscape design system comprises a first processor for retrieving a two-dimensional image of a real property in response to a query by a user of the landscape design system; a second processor that generates for display a two-dimensional view of a region of the real property for simulation; a converter that converts a region of the two-dimensional view into a three-dimensional image in response to an identification of the region of the real property; and a simulator that displays the three-dimensional image of the real property modified according to possible improvements to the real property.