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    WEATHER AND SATELLITE MODEL FOR ESTIMATING SOLAR IRRADIANCE
    13.
    发明申请
    WEATHER AND SATELLITE MODEL FOR ESTIMATING SOLAR IRRADIANCE 审中-公开

    公开(公告)号：US20160026740A1

    公开(公告)日：2016-01-28

    申请号：US14791312

    申请日：2015-07-03

    Applicant: Locus Energy, Inc.

    Inventor： Michael Herzig ,  Matthew Williams ,  Shawn Kerrigan

    IPC: G06F17/50

    CPC classification number: G01W1/10 ,  F24S2201/00 ,  G01W1/12 ,  G06F17/5009 ,  H02J3/383 ,  H02J13/0062 ,  H02J2003/003 ,  Y02E10/563 ,  Y02E60/7838 ,  Y04S10/54 ,  Y04S40/124

    Abstract: 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.

    Methods for location identification of renewable energy systems
    15.
    发明授权
    Methods for location identification of renewable energy systems 有权

    公开(公告)号：US10564315B2

    公开(公告)日：2020-02-18

    申请号：US13623232

    申请日：2012-09-20

    Applicant: Locus Energy, Inc.

    Inventor： Shawn Kerrigan ,  Michael Herzig ,  Matthew Williams

    IPC: G01V99/00 ,  G06Q50/06

    Abstract: 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.

    Time interval production measurement and energy storage performance analytics in renewable DC energy systems
    16.
    发明授权
    Time interval production measurement and energy storage performance analytics in renewable DC energy systems 有权

    公开(公告)号：US10520531B2

    公开(公告)日：2019-12-31

    申请号：US15374331

    申请日：2016-12-09

    Applicant: Locus Energy, Inc.

    Inventor： Anil Ramachandran ,  Shawn Kerrigan ,  Michael Herzig

    IPC: G01R22/10 ,  H02S40/32 ,  H02S40/38 ,  G06Q30/02 ,  G06Q50/06 ,  H02J7/35

    Abstract: 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.

    Solar irradiance modeling augmented with atmospheric water vapor data
    17.
    发明授权
    Solar irradiance modeling augmented with atmospheric water vapor data 有权

    公开(公告)号：US10482197B2

    公开(公告)日：2019-11-19

    申请号：US15196519

    申请日：2016-06-29

    Applicant: Locus Energy, Inc.

    Inventor： Charles McBrearty ,  Shawn Kerrigan ,  Michael Herzig

    IPC: G06F17/50 ,  H02J13/00 ,  H02S50/10 ,  H01J3/38 ,  H02J3/38

    Abstract: 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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