82results about "Sunshine duration recorders" patented technology

The present invention discloses a full-field refined DNI prediction method. At least two total-sky imagers are used to determine the actual position of a cloud, and then a shadow position is determined on the basis of a solar angle; and the thickness of the cloud is determined by means of the imaging brightness of the cloud, and then a DNI value is predicted. The method specifically comprises the following steps: performing cloud identification, cloud image speed calculation, cloud actual-position calculation, cloud / shadow actual-speed calculation, shadow position prediction, cloud thickness extraction, DNI mapping, and DNI prediction. In the method, at least two total-sky imagers or pinhole cameras are used to perform a DNI prediction operation, and a DNI change at each specific position in a heliostat field can be accurately predicted, such that the power generation efficiency is improved.

The present disclosure relates to a computer-implemented method (200) of training a predictive model (10) for short-term forecasting of a Global Horizontal Irradiance, GHI, value at a reference location (21), the method (200) comprising: i) obtaining (201) a satellite image (S1-Sn) of cloud coverage over a ground area comprising said reference location (21); ii) performing (202) image processing of said satellite image (S1-Sn) to obtain a corresponding image of the cloud thickness over said ground area; iii) generating (203) a sun path image (P) by composing said image of the cloud thickness with a solar vector defining a path between said reference location (21) and a sun position at an acquisition time of said satellite image (S1-Sn), wherein said sun path image (P) is representative of a cloud occlusion of the sun along said solar vector; iv) providing (204) said image of the cloud thickness to a first feature extraction pipeline of said predictive model (10) to provide a first set of extracted features; v) providing (205) said sun path image (P) to a second feature extraction pipeline of said predictive model (10) to provide a second set of extracted features; vi) combining (206) said first set of extracted features with the second set of extracted features to generate a concatenated set of extracted features; and vii) inputting (207) said concatenated set of extracted features into a classification layer of the predictive model (10) for training on a relationship between said satellite image (S1-Sn) and said GHI value.

The present invention provides an information processing method, etc., that can suitably estimate solar radiation. [Solution] The information processing method acquires the amount of sunlight at an observation point and observation time information indicating the time of observation of the sunlight. Based on the acquired sunlight and observation time information, a computer performs a process to estimate the amount of solar radiation at the observation point. Preferably, the amount of solar radiation is estimated based on the acquired sunlight and observation time information using a regression equation that shows the relationship between the amount of solar radiation, the ratio of sunlight, and the observation time.

To provide a generated amount of power estimation device with which it is possible to determine an estimation formula to estimate the generated amount of power that is generated by a solar panel in a prescribed district.SOLUTION: The generated amount of power estimation device is provided with: an input unit 110 to which information about an estimation formula building district that includes an installation range in which a photovoltaic power generation unit is installed is input; an extraction unit 120 that extracts a first explanatory variable relating to an effective space that contributes to photovoltaic power generation, a second explanatory variable relating to a site area in the installation range, and a third explanatory variable relating to the height in the installation range, on the basis of the district information; and an estimation formula creation unit 130 that determines an estimation formula to calculate the estimate value of the generated amount of power that is generated by the photovoltaic power generation unit in the estimation formula building district, which is a polynomial including the first, second and third explanatory variables, the estimation formula creation unit 130 acquiring the generated amount of power that is generated by the photovoltaic power generation unit in the estimation formula building district, and determining an estimation formula on the basis of the degree of fitness of the acquired generated amount of power to the estimation formula.SELECTED DRAWING: Figure 1

A system and method for seasonal energy consumption determination using verified energy loads with the aid of a digital computer are provided. A digital computer is operated, including: obtaining energy loads for a building measured over a seasonal time period; obtaining outdoor temperatures for the building as measured over the seasonal time period; verifying stability of the energy loads, including: evaluating the energy loads over time; and identifying at least one of one or more discontinuities and one or more irregularities in the energy loads based on the evaluation. Operating the computer further includes: determining a baseload energy consumption using at least some of those of the energy loads; calculating seasonal fuel consumption rates and balance point temperatures; and disaggregating seasonal fuel consumption based on the baseload energy consumption, seasonal fuel consumption rates, balance point temperatures, and at least some of the outdoor temperatures into component loads of consumption.

A cloud cover prediction device (10) is provided with: a learning unit (11) that takes a correlation between first time series data of a cloud cover rate derived on the basis of a sky image, which is an image obtained by photographing the sky from an observation location, and second time series data of cloud cover rates at a plurality of locations derived on the basis of a satellite image, and stores, as a time difference map, a correspondence relationship between each of the plurality of locations and a time difference between the time series data with high correlation; and a prediction unit (12) that refers to the time difference map stored in the learning unit by using a cloud movement direction acquired using the satellite image and a preset time difference, to derive a cloud cover rate at a selected location and output a predicted value of the cloud cover rate.

The objective is to provide a light detection device that reduces design man-hours and manufacturing costs, and enables miniaturization of the device. [Solution] The light detection device 1 comprises a circuit board 2 and an optical device 3. The circuit board 2 has a first surface and a second surface opposite to the first surface, and is provided with a window portion 21 that penetrates the first surface and the second surface. The optical device 3 has a plurality of optical sensors 4a, 4b, and is mounted on the second surface of the circuit board 2 with the surface on which the plurality of optical sensors 4a, 4b are provided facing the second surface of the circuit board 2. The plurality of optical sensors 4a, 4b are arranged at different positions within a range in which they can receive light incident from the side of the first surface of the circuit board 2 through the window portion 21. The optical device 3 detects the direction of light based on the output values ​​of each of the plurality of optical sensors 4a, 4b.

In an information processing method according to the present invention, a computer executes processing for acquiring an amount of sunlight at an observation point and observation time point information indicating an observation time point of the amount of sunlight, and estimating the amount of solar radiation at the observation point on the basis of the acquired amount of sunlight and observation time point information. Preferably, the amount of solar radiation is estimated on the basis of the acquired amount of sunlight and observation time point information by using a regression equation indicating the relationship between the observation time point and a ratio of the amount of solar radiation to the amount of sunlight.

The present invention concerns a method for determining the solar distribution in an area, the comprising: - a phase for collecting data to form a training database (B), - a phase for training a model on the basis of the training database (B) to obtain a trained model, the input of the trained model being an image of an area seen from the sky and the output being a global cartography of the irradiance projected on each surface of the area imaged on the input image, - a phase for operating the trained model comprising: o a step of receiving an image of an area seen from the sky, and o a step of determining by the trained model a global cartography of the irradiance projected on each surface of the area imaged on the received image.

The present invention concerns a method for determining the solar distribution in an area, the including, a phase for collecting data to form a training database, a phase for training a model on the basis of the training database to obtain a trained model, the input of the trained model being an image of an area seen from the sky and the output being a global cartography of the irradiance projected on each surface of the area imaged on the input image, and a phase for operating the trained model. The phase for operating the trained models includes, a step of receiving an image of an area seen from the sky, and a step of determining by the trained model a global cartography of the irradiance projected on each surface of the area imaged on the received image.

To provide a solar power generation amount prediction device capable of accurately predicting a solar power generation amount from weather forecast data by performing machine learning, for example, for each building or dwelling unit to which a solar power generation panel is attached.SOLUTION: A solar power generation amount prediction device includes: a machine learning unit that performs, for each of one or a plurality of solar power generation panels, machine learning for each time based on a solar radiation amount actual measurement value and a power generation amount actual measurement value for each time in a past predetermined period with respect to a prediction target day; and a power generation amount prediction unit that predicts a power generation amount on the prediction target day based on results of the machine learning by the machine learning unit.SELECTED DRAWING: Figure 1

Techniques for predicting solar power generation include a node measuring, using one or more sensors, a first time series of voltage readings for a first power line located at a first location, wherein a portion of power on the first power line is generated from solar irradiance on one or more first solar panels located at the first location; generating a first cross-correlation between the first time series of voltage readings and a second time series of voltage readings for a second power line located at a second location, wherein a portion of power on the second power line is generated from solar irradiance on one or more second solar panels located at the second location; and computing a wind vector based on the first location, the second location, and the first cross-correlation, wherein the wind vector is usable to forecast solar power generation at one or more other locations.

A photovoltaic system's configuration specification can be inferred by an evaluative process that searches through a space of candidate values for the variables in the specification. Each variable is selected in a specific ordering that narrows the field of candidate values. A constant horizon is assumed to account for diffuse irradiance insensitive to specific obstruction locations relative to the photovoltaic system's geographic location. Initial values for the azimuth angle, constant horizon obstruction elevation angle, and tilt angle are determined, followed by final values for these variables. The effects of direct obstructions that block direct irradiance in the areas where the actual horizon and the range of sun path values overlap relative to the geographic location are evaluated to find the exact obstruction elevation angle over a range of azimuth bins or directions. The photovoltaic temperature response coefficient and the inverter rating or power curve of the photovoltaic system are determined.

A cloud cover forecasting device (10) comprises: a training unit (11) that obtains a correlation between first time-series data of a cloud shielding rate derived on the basis of a sky image, which is obtained by photographing the sky from an observation location, and second time-series data of cloud shielding rates at a plurality of locations derived on the basis of a satellite image, and that accumulates, as a time difference map and for each of the plurality of locations, a correspondence relationship between the location and a time difference between time-series data for which the correlation is high; and a forecasting unit (12) that uses a preset time difference and a cloud movement direction acquired using the satellite image to derive the cloud shielding rate at a location selected with reference to the time difference map accumulated by the training unit, and outputs a cloud shielding rate forecast value.

To provide a soil condition predicting system and soil condition predicting program for predicting the impact of sunlight on soil condition.SOLUTION: A soil condition predicting system 10 comprises: a storage section 13 that stores date and time information, location information, and sunlight intensity information in association with one another; a communication section 17 that performs communication; a first calculating section 11 that calculates the sunlight intensity information associated with sunlight query information included in predicted information query information input via the communication section; a second calculating section 12 that uses calculated results of the first calculating section to calculate direction-specific sunlight intensity information; and a third calculating section 21 that uses calculated results of the second calculating section to calculate soil condition predicted information predicting the impact of sunlight on soil indicated by soil information included in the predicted information query information input via the communication section.SELECTED DRAWING: Figure 1

A method (20) for generating / updating a database of current-voltage characteristic curves is disclosed. This method comprises simulating (25), for at least one combination of a topology of a photovoltaic cell group, an internal cell temperature(s) and a cell irradiation(s), a model of the photovoltaic cell group to provide a current-voltage characteristic curve representative of that combination, and clustering (24) the current-voltage characteristic curves to identify at least one plurality of similar current-voltage characteristic curves. The method also comprises generating (26) a many-to-one mapping in the database to map query requests that correspond to each of the at least one plurality of similar current-voltage characteristic curves onto a single representative current-voltage characteristic curve for that plurality of similar current-voltage characteristic curves, each query request identifying a topology of a photovoltaic cell group, at least one internal temperature for the photovoltaic cells in the photovoltaic cell group and at least one cell irradiation for the photovoltaic cells in the photovoltaic cell group.

A method for determining a weather condition, comprising: measuring horizontal irradiance; measuring first slope irradiance and second slope irradiance, a first slope and a second slope being arranged to face the sun and being symmetrical about the meridian plane; determining an azimuth irradiation deviation rate according to the horizontal irradiance, the first slope irradiance, and the second slope irradiance; and determining a weather condition according to the horizontal irradiance, the first slope irradiance, the second slope irradiance, and the azimuth irradiation deviation rate. Also provided is a device for determining a weather condition.

A method of predicting a photovoltaic power generation amount according to an embodiment may include predicting a sky image of a next time by analyzing sky images captured from a past time to a present time and meteorological data from the past time to the present time, predicting a solar radiation amount of the next time by analyzing the sky image of the next time, a clear-sky solar radiation amount of the next time, and meteorological data of the next time, which are generated as a result of the prediction, and predicting a photovoltaic power generation amount of the next time by analyzing the solar radiation amount of the next time and the meteorological data of the next time, which are generated as a result of the prediction, and power plant specification data.

The invention relates to an assembly (100) for ascertaining at least one parameter for determining components of a global irradiance, said assembly comprising an evaluation and control device (110) and a camera assembly (120) having at least one camera, the at least one camera being fixed at a predefined distance from an earth surface (20) at least while ascertaining the parameter, the camera assembly (120) being designed to capture camera data in a spatial field of view of approximately 360° around the camera assembly (120), the camera data being suitable for deriving information concerning solar radiation and / or the position and / or properties of clouds (12). The invention also relates to: the use of such an assembly; a method for ascertaining at least one parameter for determining at least one component of a global irradiance; and a computer programme.

Sensor device for determining the environmental conditions of a vehicle, in particular a motor vehicle, comprising at least one transmitter (2, 10) for emitting electromagnetic radiation, in particular infrared radiation, and at least three receivers (3, 8, 9) for receiving electromagnetic radiation, in particular infrared radiation, wherein at least one (3) of the at least three receivers (3, 8, 9) is assigned at least one of the transmitters (2, 10) for determining precipitation on at least one glass surface, in particular the windshield (1) of the motor vehicle, and wherein the at least three receivers (3, 8, 9) are oriented for receiving electromagnetic radiation from different spatial reception areas, wherein the spatial reception areas of at least one first (3) and at least one second (8) of the at least three receivers (3, 8, 9) are oriented substantially horizontally.wherein the spatial reception area of ​​at least one third (9) of the at least three receivers (3, 8, 9) is oriented substantially upwards , characterized by that the maxima of the spatial reception ranges of at least two (3, 8) of the at least three receivers (3, 8, 9) point in opposite directions, and that the maximum spatial reception range of a third (9) of the at least three receivers (3, 8, 9) is vertical to the axis of the spatial The receivers (3, 8) are aligned with the receivers pointing in opposite directions.

The present invention discloses a system and method for atmospheric observations. The system (100) comprises a sky observer (102) comprising a sky imager (104) to capture and communicate a sky image for analyzing cloud characteristics, a robotic sun photometer (106) to track and communicate the sun and measure aerosol properties, a pyranometer (108) with a shadowband (110) and a sensor unit (120) to measure environmental conditions and collect and communicate sensor data surrounding the sky observer (102). The system (100) comprises a communication network (114) communicatively connected to the sky observer (102) to collect aggregated atmospheric data comprising the sky image, aerosol properties, different components of solar irradiance and the sensor data and transmit the aggregated atmospheric data to a server (114). The server (114) receives and analyzes the aggregated atmospheric data to estimate impact of atmospheric conditions on solar energy production in a solar plant.

A system for estimating cloud cover from moving vehicles includes: vehicle mounted sensors communicating with one or more control modules. The control modules have processors, memory, and input / output (I / O) ports. The I / O ports of the control modules of the vehicles communicate with the sensors. The control modules execute program code stored in the memory including first and second algorithm portions. The first algorithm portion, collects sensor data from the sensors, estimates atmospheric parameters from the sensor data; and computes measurement coordinates from the sensor data and atmospheric parameters. The second algorithm portion generates and selectively updates a cloud map based on from data received from the first algorithm portion, and from high-definition map (HD Map) data.

To provide a photon flux density prediction system for predicting photon flux density from sunlight.SOLUTION: A photon flux density prediction system includes: a storage unit that associates and stores date and time information, location information, and sunlight intensity information; a communication unit for communication; a first calculation unit that calculates sunlight intensity information associated with sunlight inquiry information included in prediction information inquiry information input via the communication unit; a second calculation unit that calculates direction-specific sunlight intensity information using the calculation result of the first calculation unit; and a third calculation unit that calculates photon flux density prediction information for predicting the photon flux density corresponding to the prediction information inquiry information input via the communication unit, using the calculation result of the second calculation unit. The communication unit transmits the photon flux density prediction information calculated by the third calculation unit to a transmission source of the prediction information inquiry information.SELECTED DRAWING: Figure 1

Disclosed is a method for distinguishing sunny-rainy weather based on time division long-term evolution network, including the following steps: acquiring sunny-rainy feature by extracting communication measurement statistics of time division long-term evolution network base stations in a certain area; establishing a training set according to that observation result of multiple statistical periods, multiple base stations and multiple rain gauges in the region; establishing a sunny-rainy discrimination model combined with machine learning binary classification algorithm, so as to realize the identification of rainfall events covered by a single base station; calculating the reliability of rainfall events at specific locations based on the comprehensive judgment results of multiple base stations.

To obtain a correlation analysis device that allows users to understand the correlation of solar radiation intensity between different locations without requiring an increase in the number of measurement points. [Solution] The correlation analysis device 1 according to this disclosure includes a data acquisition unit 11 that acquires estimated values ​​of solar radiation intensity-related information, which is information regarding solar radiation intensity, for each of a plurality of locations at different geographical locations; a correlation analysis unit 12 that uses the estimated values ​​acquired by the data acquisition unit 11 to calculate correlation information showing the correlation of solar radiation intensity between two of the plurality of locations for at least some combinations of two of the plurality of locations; and an output unit 13 that outputs correlation information and combination information showing two locations corresponding to the correlation information.

Disclosed herein is a deterrent system for deterring animals from a vicinity of an environmental monitoring device, the system comprising: a detector system including at least one sensor configured to generate a presence signal indicative of the presence of an object within a predetermined vicinity of the environmental monitoring device; a deterrent processing system; and a repelling system, wherein the deterrent processing system monitors the presence signal, determines from the presence signal the presence of an object within the predetermined vicinity of the environmental monitoring device, and, in response to determining that the object is present, communicates a command to the repelling system to perform a sequence of one or more repelling event actions. and the repelling system is configured to execute one or more repelling events in response to receiving a command from the deterrence processing system. Also disclosed is a solar power plant using the deterrence system. A deterrence method for deterring animals from the vicinity of the environmental monitoring device is further disclosed. Furthermore, a self-cleaning system and method for cleaning the environmental monitoring device is disclosed.

Disclosed herein are systems, apparatuses, methods, and non-transitory computer readable media related to controlling tint of tintable window(s) that include various predictive modules, and quality assurance related modules.