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Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 46. Отображено 46.
07-09-2017 дата публикации

METHODS FOR ORIENTATION AND TILT IDENTIFICATION OF PHOTOVOLTAIC SYSTEMS AND SOLAR IRRADIANCE SENSORS

Номер: US20170257255A1
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan, HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN, Herzig Michael, Williams Matthew, Kerrigan Shawn
Принадлежит:

The present invention relates to methods and systems for identifying PV system and solar irradiance sensor orientation and tilt based on energy production, energy received, simulated energy production, estimated energy received, production skew, and energy received skew. The present invention relates to systems and methods for detecting orientation and tilt of a PV system based on energy production and simulated energy production; for detecting the orientation and tilt of a solar irradiance sensor based on solar irradiance observation and simulated solar irradiance observation; for detecting orientation of a PV system based on energy production and energy production skew; and for detecting orientation of a solar irradiance sensor based on solar irradiance observation and solar irradiance observation skew. 1. A computer processor implemented method of identifying the orientation and tilt of a renewable energy system , said method comprising the steps of;providing a set of renewable energy systems having at least two renewable energy systems each having an orientation and tilt angle pair to provide a set of orientation and tilt known renewable energy systems in a computer processor;determining environmental conditions for each of the orientation and tilt known renewable energy systems to provide environmental conditions at each orientation and tilt known renewable energy system in a computer processor;determining estimated production data by a computer processor based on said environmental conditions at each orientation and tilt angle pair to provide estimated production data for each orientation and tilt angle pair known renewable energy system;storing the orientation and tilt angle pair and estimated-production data in a computer processor;providing at least one orientation and tilt unknown renewable energy system in a computer processor;calculating by said computer processor a correlation for each orientation and tilt unknown renewable energy systems production ...

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Номер записи: 1
03-12-2019 дата публикации

Weather and satellite model for estimating solar irradiance

Номер: US0010495786B2
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan, HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN, Herzig, Michael, Williams, Matthew, Kerrigan, Shawn
Принадлежит: LOCUS ENERGY, INC., LOCUS ENERGY INC, Locus Energy, Inc.

Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance ...

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Номер записи: 2
03-11-2016 дата публикации

METHODS FOR ORIENTATION AND TILT IDENTIFICATION OF PHOTOVOLTAIC SYSTEMS AND SOLAR IRRADIANCE SENSORS

Номер: US20160322528A9
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan, HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN, Herzig Michael, Williams Matthew, Kerrigan Shawn
Принадлежит:

The present invention relates to methods and systems for identifying PV system and solar irradiance sensor orientation and tilt based on energy production, energy received, simulated energy production, estimated energy received, production skew, and energy received skew. The present invention relates to systems and methods for detecting orientation and tilt of a PV system based on energy production and simulated energy production; for detecting the orientation and tilt of a solar irradiance sensor based on solar irradiance observation and simulated solar irradiance observation; for detecting orientation of a PV system based on energy production and energy production skew; and for detecting orientation of a solar irradiance sensor based on solar irradiance observation and solar irradiance observation skew. 1. A computer processor implemented method of identifying the orientation and tilt of a renewable energy system , said method comprising the steps of;providing a set of renewable energy systems having at least two renewable energy systems each having an orientation and tilt angle pair to provide a set of orientation and tilt known renewable energy systems in a computer processor;determining environmental conditions for each of the orientation and tilt known renewable energy systems to provide environmental conditions at each orientation and tilt known renewable energy system in a computer processor;determining simulated production data by a computer processor based on said environmental conditions at each orientation and tilt angle pair to provide simulated production data for each orientation and tilt angle pair known renewable energy system;storing the orientation and tilt angle pair and simulated production data in a computer processor;providing at least one orientation and tilt unknown renewable energy system in a computer processor;calculating by said computer processor a correlation for each orientation and tilt unknown renewable energy systems production ...

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Номер записи: 3
18-02-2020 дата публикации

Methods for location identification of renewable energy systems

Номер: US0010564315B2
Автор: Shawn Kerrigan, Michael Herzig, Matthew Williams, KERRIGAN SHAWN, HERZIG MICHAEL, WILLIAMS MATTHEW, Kerrigan, Shawn, Herzig, Michael, Williams, Matthew
Принадлежит: Locus Energy, Inc., LOCUS ENERGY INC

A computer processor implemented method of identifying the location of a renewable energy system; providing a set of renewable energy systems having at least two location-known renewable energy systems each having a longitude and latitude pair and production data; providing at least one location-unknown renewable energy system in a computer processor; correlating by a computer processor each location-unknown renewable energy system to at least one location-known renewable energy system according to location-known renewable energy systems longitude and latitude pair and production data; providing a best-fit location for each location-unknown renewable energy system by triangulating the location-unknown renewable energy system to provide a triangulated latitude and longitude; setting the triangulated latitude and longitude for the location-unknown renewable energy system to become a location-known renewable energy system that is part of the set of renewable energy systems.

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Номер записи: 4
20-06-2013 дата публикации

METHODS FOR ORIENTATION AND TILT IDENTIFICATION OF PHOTOVOLTAIC SYSTEMS AND SOLAR IRRADIANCE SENSORS

Номер: US20130152998A1
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan
Принадлежит: Individual

The present invention relates to methods and systems for identifying PV system and solar irradiance sensor orientation and tilt based on energy production, energy received, simulated energy production, estimated energy received, production skew, and energy received skew. The present invention relates to systems and methods for detecting orientation and tilt of a PV system based on energy production and simulated energy production; for detecting the orientation and tilt of a solar irradiance sensor based on solar irradiance observation and simulated solar irradiance observation; for detecting orientation of a PV system based on energy production and energy production skew; and for detecting orientation of a solar irradiance sensor based on solar irradiance observation and solar irradiance observation skew.

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Номер записи: 5
06-08-2013 дата публикации

Comparable diagnostics for renewable energy power systems

Номер: US0008504325B2
Автор: Shawn Kerrigan, Asaf Peleg, Michael Herzig, KERRIGAN SHAWN, PELEG ASAF, HERZIG MICHAEL
Принадлежит: Locus Energy, LLC, KERRIGAN SHAWN, PELEG ASAF, HERZIG MICHAEL, LOCUS ENERGY LLC, LOCUS ENERGY, LLC

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 data server 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.

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Номер записи: 6
03-07-2014 дата публикации

Methods for Photovoltaic Performance Disaggregation

Номер: US20140188410A1
Автор: Shawn Kerrigan, Nikhil Rajendra, Alexander Thornton, Matthew Williams, KERRIGAN SHAWN, RAJENDRA NIKHIL, THORNTON ALEXANDER, WILLIAMS MATTHEW
Принадлежит: Locus Energy, LLC

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. 1. A computer processor implemented method of calibrating photovoltaic model parameters to improve modeling accuracy of photovoltaic power production , said method comprising the steps of:obtaining in a computer processor environmental conditions representative of at least one photovoltaic system being analyzed;obtaining in a computer processor measured power of each photovoltaic system being analyzed;estimating by the computer processor a power output for each photovoltaic system being analyzed according to the environmental conditions representative of each photovoltaic system being analyzed to provide a modeled power;comparing by the computer processor the modeled power and the measured power of each photovoltaic system being analyzed to provide a set of ratio data points;filtering by the computer processor the set of ratio data points that are statistical outliers to provide a filtered set of ratio data points;identifying by the computer processor a most statistically representative ratio for the filtered set of ratio data points to provide a calibrated modeled photovoltaic power production.2. A method as in claim 1 , wherein the environmental conditions are measured environmental conditions or modeled environmental conditions.3. A method as in claim 1 , wherein the most statistically ...

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Номер записи: 7
31-12-2019 дата публикации

Time interval production measurement and energy storage performance analytics in renewable DC energy systems

Номер: US0010520531B2
Автор: Anil Ramachandran, Shawn Kerrigan, Michael Herzig, RAMACHANDRAN ANIL, KERRIGAN SHAWN, HERZIG MICHAEL, Ramachandran, Anil, Kerrigan, Shawn, Herzig, Michael
Принадлежит: LOCUS ENERGY, INC., LOCUS ENERGY INC, Locus Energy, Inc.

A system and method in which production measurement for renewable energy is obtained in a storage-independent manner. Energy storage is separated out from the renewable generation to provide individual performance analytics. A monitoring unit uses device communication and metering to enable revenue-grade production measurement for renewable source and energy storage periodically at specified time intervals. The production measurement for the renewable source is obtained in a form that would be comparable to renewable installations without storage, for accurate billing, maintenance, and performance analytics. Additionally, multiple energy flows may be used by the monitoring unit to arrive at a storage efficiency value that can be attributed to the storage unit and how the storage unit is operated in the renewable energy system. The storage efficiency quantifies efficiency losses arising from the use of a storage unit to estimate the actual impact of storage and the charge controller algorithm ...

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Номер записи: 8
27-07-2017 дата публикации

INTERCONNECT AND METERING FOR RENEWABLES, STORAGE AND ADDITIONAL LOADS WITH ELECTRONICALLY CONTROLLED DISCONNECT CAPABILITY FOR INCREASED FUNCTIONALITY

Номер: US20170214225A1
Автор: Anil Ramachandran, Ben Coquillette, Shawn Kerrigan, RAMACHANDRAN ANIL, COQUILLETTE BEN, KERRIGAN SHAWN, Ramachandran Anil, Coquillette Ben, Kerrigan Shawn
Принадлежит:

An interconnect box between a utility meter and a main service panel having at least two grid electrical inputs from the utility meter; at least one grid neutral input from the utility meter, wherein the grid electrical inputs and the grid neutral inputs are combined to provide a combined grid stream; at least two external electrical inputs having circuit breakers for each of the at least two electrical inputs; at least one external neutral input; at least one shorting block used to merge together two of the at least two external electrical inputs and one of the at least one external neutral inputs to provide an external merged stream; a central computing unit receives and utilizes power from at least one of the combined grid stream and the external merged stream to generate power and source voltage on energy metering. 1. An electrical interconnect and metering box for renewables , storage and additional loads comprising:an interconnect box between a utility meter and a main service panel of a property, wherein the interconnect box intercepts the electrical connection between the main service panel and the utility meter;at least two grid electrical inputs from the utility meter are connected to the interconnect box wherein the at least two grid electrical inputs are combined to provide a combined grid stream;at least two external electrical inputs connected to the interconnect box having circuit breakers for each of the at least two electrical inputs;at least one external neutral input connected to the interconnect box;at least one shorting block used to merge together two of the at least two external electrical inputs and one of the at least one external neutral inputs to provide an external merged stream;a central computing unit receives the combined grid stream and the external merged stream and utilizes power from at least one of the combined grid stream and the external merged stream to generate power and source voltage on energy metering, wherein the combined ...

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Номер записи: 9
16-12-2010 дата публикации

IRRADIANCE MAPPING LEVERAGING A DISTRIBUTED NETWORK OF SOLAR PHOTOVOLTAIC SYSTEMS

Номер: US20100318297A1
Автор: Michael Herzig, Shawn Kerrigan
Принадлежит:

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.

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Номер записи: 10
28-07-2020 дата публикации

Methods for orientation and tilt identification of photovoltaic systems and solar irradiance sensors

Номер: US0010728083B2
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan, HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN, Herzig, Michael, Williams, Matthew, Kerrigan, Shawn
Принадлежит: Locus Energy, Inc., LOCUS ENERGY INC

The present invention relates to methods and systems for identifying PV system and solar irradiance sensor orientation and tilt based on energy production, energy received, simulated energy production, estimated energy received, production skew, and energy received skew. The present invention relates to systems and methods for detecting orientation and tilt of a PV system based on energy production and simulated energy production; for detecting the orientation and tilt of a solar irradiance sensor based on solar irradiance observation and simulated solar irradiance observation; for detecting orientation of a PV system based on energy production and energy production skew; and for detecting orientation of a solar irradiance sensor based on solar irradiance observation and solar irradiance observation skew.

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Номер записи: 11
05-07-2018 дата публикации

ESTIMATION OF SHADING LOSSES FOR PHOTOVOLTAIC SYSTEMS FROM MEASURED AND MODELED INPUTS

Номер: US20180188301A1
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig
Принадлежит: Locus Energy, Inc.

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). 1. A computer processor implemented method of quantifying the energy losses of a photovoltaic system due to shading , the method comprising the steps of:inputting into a computer processor modeled power and energy time series data for a photovoltaic system;inputting into a computer processor measured power and energy time series data for the photovoltaic system, wherein the measured power and energy time series data includes a set of actual data readings and associated measured power and energy time series data timestamps;inputting into a computer processor an age of the photovoltaic system;determining in a computer processor a solar elevation angle and a solar azimuth angle for a set of times to provide a solar elevation angle and solar azimuth angle time series;merging by the computer processor the modeled power and energy time series data with the measured power and energy time series data to determine a difference of modeled power and energy time series data and the the measured power and energy time series data to provide an underperformance time series having a set of underperformance time series data points;merging the solar elevation angle and solar azimuth angle time series with the modeled power and energy time series data and the measured power and energy time series data to provide a shading detection time series;determining in a computer processor a beam irradiance incident on a solar panel of a photovoltaic system;calculating a predictor function according to supervised learning techniques that ...

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Номер записи: 12
16-08-2012 дата публикации

COMPARIBLE DIAGNOSTICS FOR RENEWABLE ENERGY POWER SYSTEMS

Номер: US20120209440A1
Автор: Shawn Kerrigan, Asaf Peleg, Michael Herzig, KERRIGAN SHAWN, PELEG ASAF, HERZIG MICHAEL
Принадлежит: Individual

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 data server 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.

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Номер записи: 13
14-10-2014 дата публикации

Automatic system information determination of distributed renewable energy systems

Номер: US0008862432B2
Автор: Michael Herzig, Shawn Kerrigan, HERZIG MICHAEL, KERRIGAN SHAWN
Принадлежит: Locus Energy, LLC, HERZIG MICHAEL, KERRIGAN SHAWN, LOCUS ENERGY LLC, LOCUS ENERGY, LLC

A computer processor implemented method of determining system configuration information of a monitored electrical system without the need for user input by constructing a data set of a standard performance curve for at least one system type; defining at least one characteristic feature for each system type; determining the required data to identify at least one system type according to at least one of the standard performance curve and characteristic feature; remotely acquiring the required data; comparing system acquired electrical system data to at least one system type and correlated standard performance curves and correlated characteristic features to provide system configuration information for at least one monitored electrical system to provide the specific type of monitored electrical system.

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Номер записи: 14
27-06-2013 дата публикации

WEATHER AND SATELLITE MODEL FOR ESTIMATING SOLAR IRRADIANCE

Номер: US20130166266A1
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan
Принадлежит: Individual

Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance, and the integration of this methodology into solar irradiance estimation models.

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Номер записи: 15
12-07-2018 дата публикации

ESTIMATION OF ENERGY LOSSES DUE TO PARTIAL EQUIPMENT FAILURE FOR PHOTOVOLTAIC SYSTEMS FROM MEASURED AND MODELED INPUTS

Номер: US20180196092A1
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig
Принадлежит: Locus Energy, Inc.

The present invention provides methods and systems to estimate energy losses due to partial equipment failure in photovoltaic (PV) systems based on measured power and energy data, weather data, PV system configuration information, and modeled power and energy generation data. 1. A computer processor implemented method of quantifying the energy losses of a photovoltaic system due to partial equipment failure , said method comprising the steps of:inputting into a computer processor modeled power and energy time series data for a photovoltaic system, wherein the modeled power energy time series data includes a set of series of a timestamp, a modeled power and a modeled energy;inputting into a computer processor measured power and energy time series data for the photovoltaic system, wherein the measured power and energy time series data includes a set of actual data readings having a power and energy reading with an associated measured time series data timestamp;merging by the computer processor the modeled power and energy time series data with the measured power and energy time series data to determine and to provide a performance ratio time series;determining in a computer processor a normalized daily effective system capacity time series by calculating the daily maximum of the performance ratio times series with outliers removed to provide a normalized daily effective system capacity time series;determining in a computer processor a set of differentials between consecutive daily data points in the normalized daily effective system capacity time series;applying an anomaly filter to the set of differentials between consecutive daily data points in the normalized daily effective system capacity time series to identify days on which the capacity of the system is likely to have changed;partitioning the normalized daily effective system capacity time series and then calculating measures of central tendency for the resulting partitions to generate a piecewise constant time ...

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Номер записи: 16
26-07-2012 дата публикации

ESTIMATING SOLAR IRRADIANCE COMPONENTS FROM PLANE OF ARRAY IRRADIANCE AND GLOBAL HORIZONTAL IRRADIANCE

Номер: US20120191351A1
Автор: Shawn Kerrigan, Matthew Williams, Michael Herzig, KERRIGAN SHAWN, WILLIAMS MATTHEW, HERZIG MICHAEL
Принадлежит: Locus Energy, LLC

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), wherein the measured global horizontal irradiance (GHI) consists of at least an estimated diffuse horizontal irradiance (DHI) and an estimated direct normal irradiance (DNI); 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); calculating an irradiance estimate modifier (IMOD) in a computing device according to the measured global horizontal irradiance (GHI) and the modeled global horizontal irradiance (GHI); 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. 1. A computer implemented method of estimating at least one solar irradiance component , the method comprising:{'sub': measured', 'measured', 'estimated', 'estimated, 'obtaining a sensor measurement from an instrument to provide a measured global horizontal irradiance (GHI), wherein the measured global horizontal irradiance (GHI) consists of at least an estimated diffuse horizontal irradiance (DHI) and an estimated direct normal irradiance (DNI);'}{'sub': 'model', '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);'}{'sub': measured', 'model, 'calculating an irradiance estimate modifier (IMOD) in a computing device according to the measured global horizontal irradiance (GHI) and the modeled global horizontal irradiance (GHI);'}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.2. A method as in claim 1 , wherein the at least one ...

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Номер записи: 17
12-10-2021 дата публикации

Estimation of energy losses due to partial equipment failure for photovoltaic systems from measured and modeled inputs

Номер: US0011143680B2
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig, MCBREARTY CHARLES, KERRIGAN SHAWN, HERZIG MICHAEL, McBrearty, Charles, Kerrigan, Shawn, Herzig, Michael
Принадлежит: LOCUS ENERGY, INC., LOCUS ENERGY INC, Locus Energy, Inc.

The present invention provides methods and systems to estimate energy losses due to partial equipment failure in photovoltaic (PV) systems based on measured power and energy data, weather data, PV system configuration information, and modeled power and energy generation data.

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Номер записи: 18
13-05-2014 дата публикации

Irradiance mapping leveraging a distributed network of solar photovoltaic systems

Номер: US0008725459B2
Автор: Michael Herzig, Shawn Kerrigan, HERZIG MICHAEL, KERRIGAN SHAWN
Принадлежит: Locus Energy, LLC, HERZIG MICHAEL, KERRIGAN SHAWN, LOCUS ENERGY LLC, LOCUS ENERGY, LLC

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.

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Номер записи: 19
27-05-2014 дата публикации

Comparable diagnostics for renewable energy power systems

Номер: US0008738328B2
Автор: Michael Herzig, Asaf Peleg, Shawn Kerrigan, HERZIG MICHAEL, PELEG ASAF, KERRIGAN SHAWN
Принадлежит: Locus Energy, LLC, HERZIG MICHAEL, PELEG ASAF, KERRIGAN SHAWN, LOCUS ENERGY LLC, LOCUS ENERGY, LLC

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.

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Номер записи: 20
26-04-2016 дата публикации

Weather and satellite model for estimating solar irradiance

Номер: US0009322951B2
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan, HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN
Принадлежит: LOCUS ENERGY, INC., HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN, LOCUS ENERGY INC

Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance ...

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Номер записи: 21
03-03-2015 дата публикации

Estimating solar irradiance components from plane of array irradiance and global horizontal irradiance

Номер: US0008972221B2
Автор: Shawn Kerrigan, Matthew Williams, Michael Herzig, KERRIGAN SHAWN, WILLIAMS MATTHEW, HERZIG MICHAEL
Принадлежит: Locus Energy, LLC, KERRIGAN SHAWN, WILLIAMS MATTHEW, HERZIG MICHAEL, LOCUS ENERGY LLC, LOCUS ENERGY, LLC

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 (GHImeasured), wherein the measured global horizontal irradiance (GHImeasured) consists of at least an estimated diffuse horizontal irradiance (DHIestimated) and an estimated direct normal irradiance (DNIestimated); 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 (GHImeasured) 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.

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Номер записи: 22
29-10-2015 дата публикации

METHODS FOR LOCATION IDENTIFICATION OF RENEWABLE ENERGY SYSTEMS

Номер: US20150309207A1
Автор: Shawn Kerrigan, Michael Herzig, Matthew Williams
Принадлежит:

A method of identifying the location of a renewable energy system; providing a location-unknown renewable energy system having production data; filtering production data day by day for favorable weather conditions to provide filtered production data for each filtered day; identifying and saving the start of production, peak of production and end of production for each filtered day; calculating solar noon for each filtered day; calculating longitude bias for each filtered day according to an equation of time and the peak of production; calculating skew of production according to the start of production, peak of production and end of production for each filtered day; calculating longitude for one location-unknown renewable energy system according to the longitude bias and skew of production for each filtered day; setting longitude for location-unknown renewable energy system to become a location-known renewable energy system that becomes part of a set of location-known renewable energy systems. 1. A computer processor implemented method of identifying the location of a renewable energy system , said method comprising the steps of;providing a location-unknown renewable energy system having production data;storing the production data in a computer processor;filtering said production data day by day for favorable weather conditions by a computer processor to provide filtered production data for each filtered day;identifying and saving the start of production, peak of production and end of production for each filtered day in a computer processor;calculating solar noon for each filtered day by a computer processor;calculating longitude bias for each filtered day by a computer processor according to an equation of time and the peak of production;calculating skew of production by a computer processor according to the start of production, peak of production and end of production for each filtered day;calculating longitude for one location-unknown renewable energy system by a ...

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Номер записи: 23
22-06-2017 дата публикации

TIME INTERVAL PRODUCTION MEASUREMENT AND ENERGY STORAGE PERFORMANCE ANALYTICS IN RENEWABLE DC ENERGY SYSTEMS

Номер: US20170176505A1
Автор: Anil Ramachandran, Shawn Kerrigan, Michael Herzig, RAMACHANDRAN ANIL, KERRIGAN SHAWN, HERZIG MICHAEL, Ramachandran Anil, Kerrigan Shawn, Herzig Michael
Принадлежит:

A system and method in which production measurement for renewable energy is obtained in a storage-independent manner. Energy storage is separated out from the renewable generation to provide individual performance analytics. A monitoring unit uses device communication and metering to enable revenue-grade production measurement for renewable source and energy storage periodically at specified time intervals. The production measurement for the renewable source is obtained in a form that would be comparable to renewable installations without storage, for accurate billing, maintenance, and performance analytics. Additionally, multiple energy flows may be used by the monitoring unit to arrive at a storage efficiency value that can be attributed to the storage unit and how the storage unit is operated in the renewable energy system. The storage efficiency quantifies efficiency losses arising from the use of a storage unit to estimate the actual impact of storage and the charge controller algorithm on energy production. 1. A method for measuring production of renewable energy in a storage-independent manner in a renewable energy system , said method comprising: an “S” value, wherein the S value is an interval-specific magnitude of a first Direct Current (DC) energy flow from a renewable energy source to an intermediate unit in the system,', 'an “M” value, wherein the M value is an interval-specific magnitude of an Alternating Current (AC) energy flow between the intermediate unit and an AC interconnect point in the system, and', 'a “B” value, wherein the B value is an interval-specific magnitude of a second DC energy flow between the intermediate unit and a DC storage unit in the system; and, 'determining each of the following values during a pre-determined time intervalusing the S, M, and B values to calculate a portion of the interval-specific AC energy flow attributable only to the interval-specific first DC energy flow, thereby excluding contribution to the AC energy ...

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Номер записи: 24
28-01-2016 дата публикации

WEATHER AND SATELLITE MODEL FOR ESTIMATING SOLAR IRRADIANCE

Номер: US20160026740A1
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan
Принадлежит: Locus Energy LLC

Solar irradiance, the energy from the Sun's electromagnetic radiation, has a wide range of applications from meteorology to agronomy to solar power. Solar irradiance is primarily determined by a location's spatial relationship with the Sun and the atmospheric conditions that impact the transmission of the radiation. The spatial relationship between the Sun and a location on Earth is determined by established astronomical formulas. The impact of atmospheric conditions may be estimated via proxy using pixels from satellite imagery. While satellite-based irradiance estimation has proven effective, availability of the input data can be limited and the resolution is often incapable of capturing local weather phenomena. Brief qualitative descriptions of general atmospheric conditions are widely available from internet weather services at higher granularity than satellite imagery. This methodology provides logic for quantifying the impact of qualitative weather observations upon solar irradiance, and the integration of this methodology into solar irradiance estimation models.

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Номер записи: 25
15-12-2016 дата публикации

METHODS FOR LOCATION IDENTIFICATION OF RENEWABLE ENERGY SYSTEMS

Номер: US20160363695A9
Автор: Shawn Kerrigan, Michael Herzig, Matthew Williams, KERRIGAN SHAWN, HERZIG MICHAEL, WILLIAMS MATTHEW, Kerrigan Shawn, Herzig Michael, Williams Matthew
Принадлежит:

A computer processor implemented method of identifying the location of a renewable energy system; providing a set of renewable energy systems having at least two location-known renewable energy systems each having a longitude and latitude pair and production data; providing at least one location-unknown renewable energy system in a computer processor; correlating by a computer processor each location-unknown renewable energy system to at least one location-known renewable energy system according to location-known renewable energy systems longitude and latitude pair and production data; providing a best-fit location for each location-unknown renewable energy system by triangulating the location-unknown renewable energy system to provide a triangulated latitude and longitude; setting the triangulated latitude and longitude for the location-unknown renewable energy system to become a location-known renewable energy system that is part of the set of renewable energy systems. 1. A computer processor implemented method of identifying the location of a renewable energy system , said method comprising the steps of;providing a set of renewable energy systems having at least two location-known renewable energy systems each having a longitude and latitude pair and production data;storing the longitude and latitude pair and production data in a computer processor;providing at least one location-unknown renewable energy system in a computer processor;correlating by said computer processor each location-unknown renewable energy system to at least one location-known renewable energy system according to said location-known renewable energy systems longitude and latitude pair and production data;providing a best-fit location for each location-unknown renewable energy system by triangulating said location-unknown renewable energy system to provide a triangulated latitude and longitude;setting said triangulated latitude and longitude for said location-unknown renewable energy system ...

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Номер записи: 26
02-01-2018 дата публикации

Augmented reality tools for PV solar and/or storage system site survey, installation, commissioning, and operation and maintenance supported by on-site data collection

Номер: US0009858727B2
Автор: Anil Ramachandran, Michael Herzig, Shawn Kerrigan, RAMACHANDRAN ANIL, HERZIG MICHAEL, KERRIGAN SHAWN, Ramachandran Anil, Herzig Michael, Kerrigan Shawn
Принадлежит: Locus Energy, Inc., LOCUS ENERGY INC

A system and method in which information relevant to a Photovoltaic (PV) solar-site specific activity environment is displayed on the display screen of an Augmented Reality (AR) device as part of the surrounding environment, instead of on a separate computing device or an installation manual. The activity environment includes PV solar site-specific survey and feasibility analysis, installation and commissioning, Operation and Maintenance (O&M), and site overhaul/removal activities. Thus, relevant information is available to an installer/technician at their fingertips so that the installer/technician can continue the task they are involved in without losing focus. The AR device may record relevant data during site survey and note important points, accelerate installation and commissioning, make O&M more efficient, and record the complete process for ongoing improvement/management of the site. Moreover, company-specific best practices may be loaded on the AR device as guidelines to make the process uniform across the entire fleet of installers.

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Номер записи: 27
27-07-2017 дата публикации

AUGMENTED REALITY TOOLS FOR PV SOLAR AND/OR STORAGE SYSTEM SITE SURVEY, INSTALLATION, COMMISSIONING, AND OPERATION AND MAINTENANCE SUPPORTED BY ON-SITE DATA COLLECTION

Номер: US20170213390A1
Автор: Anil Ramachandran, Michael Herzig, Shawn Kerrigan, RAMACHANDRAN ANIL, HERZIG MICHAEL, KERRIGAN SHAWN, Ramachandran Anil, Herzig Michael, Kerrigan Shawn
Принадлежит: Locus Energy, Inc.

A system and method in which information relevant to a Photovoltaic (PV) solar-site specific activity environment is displayed on the display screen of an Augmented Reality (AR) device as part of the surrounding environment, instead of on a separate computing device or an installation manual. The activity environment includes PV solar site-specific survey and feasibility analysis, installation and commissioning, Operation and Maintenance (O&M), and site overhaul/removal activities. Thus, relevant information is available to an installer/technician at their fingertips so that the installer/technician can continue the task they are involved in without losing focus. The AR device may record relevant data during site survey and note important points, accelerate installation and commissioning, make O&M more efficient, and record the complete process for ongoing improvement/management of the site. Moreover, company-specific best practices may be loaded on the AR device as guidelines to make the process uniform across the entire fleet of installers.

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Номер записи: 28
22-02-2018 дата публикации

TIME INTERVAL PRODUCTION MESUREMENT AND ENERGY STORAGE PERFORMANCE ANALYTICS IN RENEWABLE DC ENERGY SYSTEMS

Номер: US20180054161A1
Автор: Anil Ramachandran, Shawn Kerrigan, Michael Herzig
Принадлежит: Locus Energy LLC

A system and method in which production measurement for renewable energy is obtained in a storage-independent manner. Energy storage is separated out from the renewable generation to provide individual performance analytics in DC-coupled and AC-coupled renewable energy systems with critical and auxiliary loads. A monitoring unit uses device communication and metering to enable revenue-grade production measurement for renewable source and energy storage periodically at specified time intervals. The production measurement for the renewable source is obtained in a form that would be comparable to renewable installations without storage. Additionally, multiple energy flows may be used by the monitoring unit to arrive at a storage efficiency value that can be attributed to the storage unit and how the storage unit is operated in the renewable energy system. The storage efficiency quantifies efficiency losses arising from the use of a storage unit to estimate the actual impact of storage on energy production.

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Номер записи: 29
27-06-2013 дата публикации

METHODS FOR LOCATION IDENTIFICATION OF RENEWABLE ENERGY SYSTEMS

Номер: US20130166211A1
Автор: Shawn Kerrigan, Michael Herzig, Matthew Williams
Принадлежит:

A computer processor implemented method of identifying the location of a renewable energy system; providing a set of renewable energy systems having at least two location-known renewable energy systems each having a longitude and latitude pair and production data; providing at least one location-unknown renewable energy system in a computer processor; correlating by a computer processor each location-unknown renewable energy system to at least one location-known renewable energy system according to location-known renewable energy systems longitude and latitude pair and production data; providing a best-fit location for each location-unknown renewable energy system by triangulating the location-unknown renewable energy system to provide a triangulated latitude and longitude; setting the triangulated latitude and longitude for the location-unknown renewable energy system to become a location-known renewable energy system that is part of the set of renewable energy systems.

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Номер записи: 30
20-06-2017 дата публикации

Methods for orientation and tilt identification of photovoltaic systems and solar irradiance sensors

Номер: US0009686122B2
Автор: Michael Herzig, Matthew Williams, Shawn Kerrigan, HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN, Herzig Michael, Williams Matthew, Kerrigan Shawn
Принадлежит: Locus Energy, Inc., HERZIG MICHAEL, WILLIAMS MATTHEW, KERRIGAN SHAWN, LOCUS ENERGY INC, Herzig Michael, Williams Matthew, Kerrigan Shawn

The present invention relates to methods and systems for identifying PV system and solar irradiance sensor orientation and tilt based on energy production, energy received, simulated energy production, estimated energy received, production skew, and energy received skew. The present invention relates to systems and methods for detecting orientation and tilt of a PV system based on energy production and simulated energy production; for detecting the orientation and tilt of a solar irradiance sensor based on solar irradiance observation and simulated solar irradiance observation; for detecting orientation of a PV system based on energy production and energy production skew; and for detecting orientation of a solar irradiance sensor based on solar irradiance observation and solar irradiance observation skew.

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Номер записи: 31
28-03-2017 дата публикации

Irradiance mapping leveraging a distributed network of solar photovoltaic systems

Номер: US0009606168B2
Автор: Shawn Kerrigan, Michael Herzig, KERRIGAN SHAWN, HERZIG MICHAEL, Kerrigan Shawn, Herzig Michael
Принадлежит: Locus Energy, Inc., KERRIGAN SHAWN, HERZIG MICHAEL, LOCUS ENERGY INC, Kerrigan Shawn, Herzig Michael

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.

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Номер записи: 32
12-07-2018 дата публикации

ESTIMATION OF SOILING LOSSES FOR PHOTOVOLTAIC SYSTEMS FROM MEASURED AND MODELED INPUTS

Номер: US20180196901A1
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig
Принадлежит: Locus Energy, Inc.

The present invention provides methods and systems to estimate energy losses due to soiling in photovoltaic (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, precipitation, ambient and panel temperature, and wind conditions) over the lifetime of the system, and derived meteorological condition information (e.g., the history of clear-sky conditions at the location of the site). 1. A computer processor implemented method of quantifying the energy losses of a photovoltaic system due to soiling , said method comprising the steps of:inputting into a computer processor modeled energy time series data for a photovoltaic system, wherein the modeled energy time series data includes a set of timestamps and a modeled energy;inputting into a computer processor measured energy time series data, wherein the measured energy time series data includes a set of timestamps and actual measured energy data readings;inputting into a computer processor clear sky ratio time series data and precipitation data, wherein the clear sky ratio time series data includes a set of data points indicating the clear sky index and associated clear sky timestamps and wherein the precipitation data includes a set of data points indicating the precipitation depth at the location of the system and associated precipitation depth timestamps;merging by the computer processor the modeled energy time series data with the measured energy time series data to determine a pointwise ratio of the modeled energy time series data with the measured energy time series data to provide a performance ratio time series having a set of performance ratio time series data points;merging by the computer processor the performance ratio time series with the clear sky ratio time series data and the precipitation data by matching associated measured power and energy time series data timestamps, ...

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Номер записи: 33
29-05-2012 дата публикации

Comparible diagnostics for renewable energy power systems

Номер: US0008190395B2
Автор: Asaf Peleg, Michael Herzig, Shawn Kerrigan, PELEG ASAF, HERZIG MICHAEL, KERRIGAN SHAWN
Принадлежит: Locus Energy, LLC, PELEG ASAF, HERZIG MICHAEL, KERRIGAN SHAWN, LOCUS ENERGY LLC, LOCUS ENERGY, LLC

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 data server 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.

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Номер записи: 34
26-06-2014 дата публикации

IRRADIANCE MAPPING LEVERAGING A DISTRIBUTED NETWORK OF SOLAR PHOTOVOLTAIC SYSTEMS

Номер: US20140180637A1
Автор: Shawn Kerrigan, Michael Herzig, KERRIGAN SHAWN, HERZIG MICHAEL
Принадлежит: Locus Energy, LLC

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. 1. A method of creating irradiance mapping using a distributed network of solar systems , said method comprising the steps of;providing at least two solar powered systems, at least one data server, at least one generation monitoring device in communication with at least two solar powered systems and at least one communication node in communication with at least one of said solar powered systems, said generation monitoring device and said data server,determining system performance for each said at least two solar powered systems to provide system performance values;saving said system performance values in said at least one data server;calibrating a system performance model for a group of said at least two powered systems to provide a calibrated system performance model;saving said calibrated system performance model in said at least one data server;determining an irradiance input value from said system performance values and said calibrated system performance model;gathering the power generated from each said at least one generation monitoring device communicated from said at least one communication node and saved in said data server;determining the irradiance for a particular time according to at least one of said irradiance input value and said power generated to provide a single irradiance point ...

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Номер записи: 35
23-03-2021 дата публикации

Estimation of soiling losses for photovoltaic systems from measured and modeled inputs

Номер: US0010956629B2
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig, MCBREARTY CHARLES, KERRIGAN SHAWN, HERZIG MICHAEL, McBrearty, Charles, Kerrigan, Shawn, Herzig, Michael
Принадлежит: LOCUS ENERGY, INC., LOCUS ENERGY INC, Locus Energy, Inc.

The present invention provides methods and systems to estimate energy losses due to soiling in photovoltaic (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, precipitation, ambient and panel temperature, and wind conditions) over the lifetime of the system, and derived meteorological condition information (e.g., the history of clear-sky conditions at the location of the site).

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Номер записи: 36
28-10-2010 дата публикации

AUTOMATIC SYSTEM INFORMATION DETERMINATION OF DISTRIBUTED RENEWABLE ENERGY SYSTEMS

Номер: US20100271222A1
Автор: Shawn Kerrigan, Micharl Herzig, KERRIGAN SHAWN, HERZIG MICHARL
Принадлежит:

A computer processor implemented method of determining system configuration information of a monitored electrical system without the need for user input by constructing a data set of a standard performance curve for at least one system type; defining at least one characteristic feature for each system type; determining the required data to identify at least one system type according to at least one of the standard performance curve and characteristic feature; remotely acquiring the required data; comparing system acquired electrical system data to at least one system type and correlated standard performance curves and correlated characteristic features to provide system configuration information for at least one monitored electrical system to provide the specific type of monitored electrical system.

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Номер записи: 37
19-11-2019 дата публикации

Solar irradiance modeling augmented with atmospheric water vapor data

Номер: US0010482197B2
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig, MCBREARTY CHARLES, KERRIGAN SHAWN, HERZIG MICHAEL, McBrearty, Charles, Kerrigan, Shawn, Herzig, Michael
Принадлежит: LOCUS ENERGY, INC., LOCUS ENERGY INC, Locus Energy, Inc.

A computer implemented method of estimating solar irradiance, the method comprising: constructing a reference irradiance set of tuples; constructing a reference predictor set of tuples, merging the reference irradiance set of tuples and the reference predictor set of tuples by matching numerical identifiers for a location for which a global horizontal irradiance exists in the reference irradiance set of tuples and the timestamp with the numerical identifier for a particular location in the reference predictor set of tuples and the timestamp to provide a reference data set of tuples; and estimating the global horizontal irradiance for a specific location and a timestamp by minimizing the least squares error between the reference predictor set of tuples and the reference irradiance set of tuples to provide a set of estimated global horizontal irradiance values for a specific location and timestamp.

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Номер записи: 38
20-10-2016 дата публикации

SOLAR IRRADIANCE MODELING AUGMENTED WITH ATMOSPHERIC WATER VAPOR DATA

Номер: US20160306906A1
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig, MCBREARTY CHARLES, KERRIGAN SHAWN, HERZIG MICHAEL, McBrearty Charles, Kerrigan Shawn, Herzig Michael
Принадлежит:

A computer implemented method of estimating solar irradiance, the method comprising: constructing a reference irradiance set of tuples; constructing a reference predictor set of tuples, merging the reference irradiance set of tuples and the reference predictor set of tuples by matching numerical identifiers for a location for which a global horizontal irradiance exists in the reference irradiance set of tuples and the timestamp with the numerical identifier for a particular location in the reference predictor set of tuples and the timestamp to provide a reference data set of tuples; and estimating the global horizontal irradiance for a specific location and a timestamp by minimizing the least squares error between the reference predictor set of tuples and the reference irradiance set of tuples to provide a set of estimated global horizontal irradiance values for a specific location and timestamp. 1. A computer implemented method of estimating solar irradiance , the method comprising:constructing, in a computing device, a reference irradiance set of tuples, the reference irradiance set of tuples each having at least a numerical identifier for a location for which a global horizontal irradiance exists, a timestamp and a measured global horizontal irradiance for a location and timestamp;constructing, in the computing device, a reference predictor set of tuples, the reference predictor set of tuples each having at least a numerical identifier for a particular location, a universal coordinated timestamp, a visible spectrum pixel intensity value from satellite image for the particular location and a timestamp, an infrared pixel intensity value for spectral band m for the particular location and a timestamp, an elevation for a location with a numerical identifier for the particular location, snow cover for the particular location and a timestamp, atmospheric turbidity for the particular location and a timestamp, atmospheric water vapor content for the particular location ...

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Номер записи: 39
30-03-2021 дата публикации

Estimation of shading losses for photovoltaic systems from measured and modeled inputs

Номер: US0010962576B2
Автор: Charles McBrearty, Shawn Kerrigan, Michael Herzig, MCBREARTY CHARLES, KERRIGAN SHAWN, HERZIG MICHAEL, McBrearty, Charles, Kerrigan, Shawn, Herzig, Michael
Принадлежит: LOCUS ENERGY, INC., LOCUS ENERGY INC, Locus Energy, Inc.

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).

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Номер записи: 40
02-09-2010 дата публикации

COMPARIBLE DIAGNOSTICS FOR RENEWABLE ENERGY POWER SYSTEMS

Номер: US20100219983A1
Автор: Asaf Peleg, Michael Herzig, Shawn Kerrigan, PELEG ASAF, HERZIG MICHAEL, KERRIGAN SHAWN
Принадлежит:

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 data server 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.

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Номер записи: 41
31-10-2013 дата публикации

COMPARIBLE DIAGNOSTICS FOR RENEWABLE ENERGY POWER SYSTEMS

Номер: US20130289791A1
Автор: Shawn Kerrigan, Michael Herzig, Asaf Peleg
Принадлежит: Locus Energy, LLC

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. 1. 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 said consumers in the event of comparative underperformance , said method comprising the steps of;providing at least two renewable power systems, wherein each said renewable power system is assigned a system coefficient and is in communication with at least one computing device,determining at least two diagnostic variables for each said renewable power system and saving each said diagnostic variable into said at least one computing device;determining the energy generated by each said renewable power system for a specific time period to provide said renewable power system's energy generated performance for a given time period;determining, by said at least one computing device, the normalized performance for each said renewable power system, wherein the normalized performance is said renewable power system's energy generated performance for a given time period multiplied by said system coefficient to provide a normalized performance;saving said normalized performance and said diagnostic variables in said ...

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Номер записи: 42
14-04-2020 дата публикации

Time interval production measurement and energy storage performance analytics in renewable DC energy systems

Номер: US0010622940B2
Автор: Anil Ramachandran, Shawn Kerrigan, Michael Herzig, RAMACHANDRAN ANIL, KERRIGAN SHAWN, HERZIG MICHAEL, Ramachandran, Anil, Kerrigan, Shawn, Herzig, Michael
Принадлежит: LOCUS ENERGY, INC., LOCUS ENERGY INC, Locus Energy, Inc.

A system and method in which production measurement for renewable energy is obtained in a storage-independent manner. Energy storage is separated out from the renewable generation to provide individual performance analytics in DC-coupled and AC-coupled renewable energy systems with critical and auxiliary loads. A monitoring unit uses device communication and metering to enable revenue-grade production measurement for renewable source and energy storage periodically at specified time intervals. The production measurement for the renewable source is obtained in a form that would be comparable to renewable installations without storage. Additionally, multiple energy flows may be used by the monitoring unit to arrive at a storage efficiency value that can be attributed to the storage unit and how the storage unit is operated in the renewable energy system. The storage efficiency quantifies efficiency losses arising from the use of a storage unit to estimate the actual impact of storage on energy ...

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Номер записи: 43
18-09-2014 дата публикации

METHODS AND SYSTEMS FOR REAL-TIME SOLAR FORECASTING INCORPORATING A GROUND NETWORK

Номер: US20140278107A1
Автор: Kerrigan Shawn, Koltakov Sergey, Thornton Alexander, Williams Matthew
Принадлежит:

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. 1. A computer processor implemented method of validating solar irradiance forecasts , said method comprising the steps of;providing a set of renewable energy systems having at least two renewable energy systems each having a measured solar irradiance from a solar irradiance weather sensor at a location n and time t and an estimated solar irradiance from a solar irradiance forecast feed at a location n and time t in a computer processor;determining by the computer processor a set of matched pairs of location and time from the measured solar irradiance from a from weather sensor at a location n and time t and the estimated solar irradiance from a solar irradiance forecast feed at a location n and time t;calculating by the computer processor a validation metric of the set of matched pairs by the computer processor for at least one of:all locations at time t;location n at all times;all locations at all times;a subset of locations at time t;location n at a subset of times; anda subset of locations at a subset of times.2. A method as in claim 1 , wherein said renewable energy system is a photovoltaic system.3. A method as in claim 1 , wherein the validation metric is selected from the group consisting of model error claim 1 , mean absolute error and root mean square error.4. A method as in claim 1 , wherein said solar irradiance weather sensor is selected from the group consisting of pyranometer claim 1 , pyrheliometer and photovoltaic reference cell sensor.5. A computer processor implemented method of validating solar power production forecasts claim 1 , said ...

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Номер записи: 44
18-09-2014 дата публикации

Methods and Systems for Optical Flow Modeling Applications for Wind and Solar Irradiance Forecasting

Номер: US20140278108A1
Автор: Kerrigan Shawn, Koltakov Sergey, Thornton Alexander, Williams Matthew
Принадлежит:

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. 1. A computer implemented method of forecasting cloud motion , said method comprising the steps of:gathering a time-series of satellite imagery including at least one of a time-series of visible satellite imagery and a time-series of infrared satellite imagery;transforming the time-series of satellite imagery, by a computing device, including at least one of a time-series of visible satellite imagery and a time-series of infrared satellite imagery into a cloudiness index image by establishing a lower limit of visible pixel values for time t; establishing an upper limit of visible pixel values for time t; and calculating the cloudiness index at each pixel location for time t to provide a cloudiness index image;applying optical flow modeling, by a computing device, 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 ...

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Номер записи: 45
18-06-2024 дата публикации

Systems and methods for automated machine patching

Номер: US12014168B1
Автор: Shawn Kerrigan Bartosik
Принадлежит: United Services Automobile Association USAA

Systems and methods for scheduling and deploying patches to electronic device assets are provided. A patch management system identifies scheduling for patching and causes a patch scripting service to apply patching tags to the electronic device assets. A patch deployment service deploys patches based upon the applied tags.

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Номер записи: 46