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

• US 9,686,122 B2
• Filed: 11/20/2012
• Issued: 06/20/2017
• Est. Priority Date: 05/10/2010
• Status: Active Grant

• Current Assignee: Locus Energy, LLC (Also Energy Incorporated)
• Original Assignee: Locus Energy, LLC (Also Energy Incorporated)
• Inventors: Herzig, Michael, Kerrigan, Shawn, Williams, Matthew
• Primary Examiner(s): Rivas, Omar Fernandez
• Assistant Examiner(s): LUU, CUONG V
• Application Number:
  US13/681,803
• Publication Number:
  US 20130152998A1
• Time in Patent Office: 1,673 Days
• Field of Search: 703 18
• CPC Class Codes: F24S 2201/00 Prediction; Simulation
• CPC Class Codes: F24S 50/20 for tracking
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: H04L 41/026 using e-messaging for transporting management information, e.g. email, instant messaging or chat
• CPC Class Codes: Y02E 10/47 Mountings or tracking

Abstract

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.

Claims

1. A computer processor implemented method of identifying the orientation of a renewable energy system, said method comprising the steps of;

providing at least one orientation unknown renewable energy system having production data in a computer processor;

filtering said production data day by day for favorable environmental conditions by a computer processor to provide filtered production data for each filtered day;

identifying and saving start of production, peak of production and end of production for each filtered day in a computer processor;

calculating a skew of observation for said at least one orientation unknown renewable energy systems by a computer processor according to the start of production, peak of production and end of production for each filtered day;

calculating an orientation for said at least one orientation unknown renewable energy systems by a computer processor according to said skew of observation;

setting said orientation for said at least one orientation unknown renewable energy systems to become an orientation known renewable energy system that becomes part of a set of orientation known renewable energy systems in a computer processor.

2. A method as in claim 1, wherein said production data is simulated production data according to environmental conditions at said orientation unknown renewable energy systems location.

3. A method as in claim 2, wherein said environmental conditions are estimated.

4. A method as in claim 2, wherein said environmental conditions are observed.

5. A method as in claim 1, wherein the renewable energy systems is selected from the group consisting of photovoltaic system, solar thermal system, concentrated solar power system and wind turbine.

6. A computer processor implemented method of identifying the orientation of a solar irradiance sensor, said method comprising the steps of;

providing an orientation—

unknown solar irradiance sensor having solar irradiance sensor data in a computer processor;

filtering said solar irradiance sensor data day by day for favorable weather conditions by a computer processor to provide filtered solar irradiance sensor data for each filtered day;

identifying and saving start of production, peak of production and end of production for each filtered day in a computer processor;

calculating a skew of observation for said orientation unknown solar irradiance sensor by a computer processor according to the start of production, peak of production and end of production for each filtered day;

calculating the orientation of said orientation unknown solar irradiance sensor by a computer processor according to said skew of observation;

setting said orientation for the orientation unknown solar irradiance sensor to become an orientation-known solar irradiance sensor that becomes part of a set of orientation known solar irradiance sensors in a computer processor.

7. A method as in claim 6, wherein said solar irradiance sensor data is simulated solar irradiance sensor data according to environmental conditions at the location of said orientation unknown solar irradiance sensor.

8. A method as in claim 7, wherein said environmental conditions are estimated.

9. A method as in claim 7, wherein said environmental conditions are observed.