Topologies, Systems and Methods for Control of Solar Energy Supply Systems

• US 20120123596A1
• Filed: 11/14/2011
• Published: 05/17/2012
• Est. Priority Date: 01/13/2005
• Status: Abandoned Application

• Current Assignee: Flextronics America LLC (Flextronics International Limited)
• Original Assignee: Flextronics America LLC (Flextronics International Limited)
• Inventors: Plaisted, Joshua Reed
• Application Number:
  US13/296,101
• Publication Number:
  US 20120123596A1
• Time in Patent Office: Days
• US Class Current: 700/282
• CPC Class Codes: F24S 2201/00 Prediction; Simulation
• CPC Class Codes: H01L 31/0521 using a gaseous or a liquid coolant, e.g. air flow ventilation, water circulation
• CPC Class Codes: H02J 2300/22 The renewable source being solar energy
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: H02S 20/23 specially adapted for roof structures
• CPC Class Codes: Y02B 10/10 Photovoltaic [PV]
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers

Abstract

A control system or controller solar module array may be operated by (i) programmatically determining, for a given time period, a demand for an output of the solar module array by one or more energy consuming resources at the target location; and (ii) affecting an efficiency of the solar module array based at least in part on the determined demand.

Claims

1. A method for operating a solar module array at a target location, the method comprising:

programmatically determining, for a given time period, a demand for an output of the solar module array by one or more energy consuming resources at the target location; and

affecting an efficiency of the solar module array based at least in part on the determined demand.

2. The method of claim 1, wherein programmatically determining the demand by one or more energy consuming resources includes determining the demand by a plurality of components that utilize a heat output or an electrical output from the solar module array.

3. The method of claim 1, wherein affecting an efficiency of the solar module array includes controlling one or more devices that affect a temperature of one or more modules in the solar module array.

4. The method of claim 3, wherein controlling one or more devices that affect a temperature of one or more modules includes controlling a blower that affects a volumetric airflow under the solar module array.

5. The method of claim 1, wherein affecting an efficiency of the solar module array includes controlling a flow of fluid underneath the solar module array.

6. The method of claim 4, wherein controlling the blower that affects a volumetric airflow includes controlling a mechanism to affect an air flow rate by drawing air in from the environment through a leading edge of the solar module array.

7. The method of claim 3, further comprising varying the efficiency of the solar module array based at least in part on an optimization scheme that prioritizes minimizing an energy intake of the one or more components of the target location from a utility source.

8. The method of claim 7, wherein varying the efficiency of the solar module array includes determining a desired efficiency range for a given time period based on any one or more of (i) a time of day for the given time period, (ii) external environmental conditions, or (iii) occupancy of the target location.

9. The method of claim 7, wherein varying the efficiency of the solar module array includes determining a desired efficiency range for a given time period based on a cost of procuring energy from a utility source during the given time period.

10. The method of claim 7, wherein varying the efficiency of the solar module array includes determining a desired efficiency range for a given time period based on prioritizing select energy consuming resource that are to be serviced in the given time period over other energy consuming resources that are at the target location.

11. The method of claim 10, wherein prioritizing select energy consuming resource that are to be serviced in the given time period includes determining one or more of (i) a type of each energy consuming resource, (ii) a demand level of each energy consuming resource, or (iii) an amount of energy needed to service each energy consuming resource.

12. The method of claim 3, further comprising varying the efficiency of the solar module array based at least in part on an optimization scheme that prioritizes maximizing energy output of the solar module array.

13. The method of claim 1, wherein programmatically determining the demand includes determining an expected demand for an upcoming time period.

14. The method of claim 1, wherein programmatically determining the demand includes determining an actual demand for a past time period.

15. The method of claim 3, further comprising receiving weather data from one or more of a system sensor or a remote source, and varying the efficiency of the solar module array based at least in part on the weather data.

16. The method of claim 7, wherein the optimization scheme further includes determining and causing implementation of a sequencing or a selection of the one or more components in receiving a thermal or electrical output of the solar module array.

17. The method of claim 7, wherein the optimization scheme further includes determining and causing implementation of a distribution of a thermal or electrical output of the solar module array to the one or more components.

18. The method of claim 10, wherein prioritizing select energy consuming resource that are to be serviced in the given time period includes determining and causing implementation of series staging of the one or more energy consuming resources so that the resources are arranged of decreasing demands of temperature or electricity from the solar module array.

19. The method of claim 4, wherein controlling one or more devices that affect a temperature of one or more modules further includes controlling an adsorption cooling system that affects the humidity of the volumetric airflow.

20. The method of claim 6, wherein controlling the mechanism to affect the air flow rate includes determining the air flow rate based on any one or more of (i) the electrical or thermal requirement at the output of the solar module array to service a particular energy consuming resource at the target location;

(ii) the ability for the array outlet to reach the requirement;

or (iii) the efficiency of the solar module array.

21. The method of claim 9, wherein determining a desired efficiency range for a given time period based on a cost of procuring energy from a utility source includes considering a tiered pricing structure in minimizing the cost of procuring energy.