Claims:WE CLAIM
1. A method for optimizing operation of one or more skylights of one or more distributed sites to facilitate daylight harvesting, the method comprising:
identifying, by a lighting control system, one or more skylight-linked lighting circuits from a plurality of lighting circuits by analyzing at least one of site configuration data, site instrumentation data, and ambient data;
determining, by the lighting control system, interception points configured for each identified skylight-linked lighting circuit to switch from daylight utilization to electric consumption and to switch from electric consumption to daylight utilization, wherein the interception points are determined based on at least one of the site configuration data, the site instrumentation data, and the ambient data;
deriving, by the lighting control system, an optimum logic for the operation of one or more skylight linked lighting circuits based on the interception points and current operating schedule of the skylight linked lighting circuits; and
optimizing, by the lighting control system, the operation of the one or more skylights based on the optimum logic.
2. The method of claim 1, wherein the optimizing comprises:
detecting deviations in the operation of the one or more skylights by comparing a current operating logic with the optimum logic; and
generating, at least one of an alert and report corresponding to one or more deviations upon detection of the deviations to optimize the operation of the one or more skylights.
3. The method of claim 1, wherein the optimizing comprises:
detecting deviations in the operation of the one or more skylights by comparing a current operating logic of the one or more skylights with the optimum logic; identifying one or more causes of the deviations by correlating the ambient data with the site instrumentation data and the site configuration data;
deriving a corrective action for each deviation based on analysis of at least one of the one or more causes, the site configuration data, operational limitations of the skylight linked lighting circuits, historical data related to the operation of the one or more skylights, comparison with peer sites, and corrective action database;
prioritizing the corrective actions corresponding to the deviations based on at least one of quantum of deviation, cost associated with corrective action, and urgency of the corrective action; and
implementing the corrective action corresponding to the deviations based on the prioritization to optimize the operation of the one or more skylights.
4. The method of claim 3, wherein the one or more causes of the deviations are identified by comparing operation of the skylight linked lighting circuits of the one or more distributed sites.
5. The method of claim 1, wherein the site instrumentation data comprises run-hours data, lighting asset status data, lighting schedule, skylight sensor readings, dimmer presence and modulation of dimmers, and consumption intensity of lighting circuit.
6. The method of claim 1, wherein the site configuration data comprises lighting schedule, configured interception points, configured set points, and operating pattern of the skylight linked lighting circuits.
7. The method of claim 1, wherein the identifying one or more skylight linked lighting circuits comprises monitoring variation in at least one of the consumption intensity of each lighting circuit, run-hours data and skylight sensor readings based on the ambient data and the current operating schedule of the skylight.
8. The method of claim 1, wherein the optimum logic is further derived based on one or more optimization parameters, wherein the one or more optimization parameters comprises site configuration data, comparison with peer sites, operational limitations of the skylight-linked lighting circuits, and industry benchmark.
9. The method of claim 1, wherein the interception points comprises at least one of visibility level, cloudiness level, and skylight sensor reading.
10. The method of claim 1, wherein the identifying one or more skylight linked lighting circuits from a plurality of lighting circuits comprises:
detecting presence of the one or more skylights in a site based on analysis of at least one of the site configuration data, the site instrumentation data, the ambient data, site satellite images, and street view of the site; and
identifying the one or more skylight linked lighting circuits from the plurality of lighting circuits corresponding to each skylight upon detecting presence of the one or more skylights.
11. The method of claim 10, wherein detecting presence of the one or more skylights in the building further comprises:
verifying skylight sensor readings associated with the one or more skylights by correlating the skylight sensor readings with at least one of cloudiness level, visibility level, sunset time, and sunrise time.
12. A lighting control system for optimizing operation of one or more skylights of one or more distributed sites to facilitate daylight harvesting, the lighting control system comprising:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores processor instructions, which, on execution, causes the processor to:
identify one or more skylight-linked lighting circuits from a plurality of lighting circuits by analyzing at least one of site configuration data, site instrumentation data, and ambient data;
determine interception points configured for each identified skylight-linked lighting circuit to switch from daylight utilization to electric consumption and to switch from electric consumption to daylight utilization, wherein the interception points are determined based on at least one of the site configuration data, the site instrumentation data, and the ambient data; and
derive an optimum logic for the operation of one or more skylight linked lighting circuits based on the interception points and current operating schedule of the skylight linked lighting circuits; and
optimize the operation of the one or more skylights based on the optimum logic.
13. The lighting control system of claim 12, wherein the processor is further configured to:
detect deviations in the operation of the one or more skylights by comparing a current operating logic with the optimum logic; and
generate at least one of an alert and report corresponding to one or more deviations upon detection of the deviations.
14. The lighting control system of claim 12, wherein the processor is further configured to:
detect deviations in the operation of the one or more skylights by comparing a current operating logic of the one or more skylights with the optimum logic;
identify one or more causes of the deviations by correlating the ambient data with the site instrumentation data and the site configuration data;
derive a corrective action for each deviation based on analysis of at least one of the one or more causes, the site configuration data, operational limitations of the skylight linked lighting circuits, historical data related to the operation of the one or more skylights, comparison with peer sites, and corrective action database;
prioritize the corrective actions corresponding to the deviations based on at least one of quantum of deviation, cost associated with corrective action, and urgency of the corrective action; and
implement the corrective action corresponding to the deviations based on the prioritization.
15. The lighting control system of claim 14, wherein the one or more causes of the deviations are identified by comparing operation of the skylight linked lighting circuits of the one or more distributed sites.
16. The lighting control system of claim 12, wherein the site instrumentation data comprises run-hours data, lighting asset status data, lighting schedule, skylight sensor readings, dimmer presence and modulation of dimmers, and consumption intensity of lighting circuit.
17. The lighting control system of claim 12, wherein the site configuration data comprises lighting schedule, configured interception points, configured set points, and operating pattern of the skylight linked lighting circuits.
18. The lighting control system of claim 12, wherein the processor is configured to monitor variation in in at least one of the consumption intensity of each lighting circuit, run-hours data and skylight sensor readings based on the ambient data and the current operating schedule of the skylight to identify one or more skylight linked lighting circuits.
19. The lighting control system of claim 12, wherein the optimum logic is further derived based on one or more optimization parameters, wherein the one or more optimization parameters comprises site configuration data, comparison with peer sites, operational limitations of the skylight-linked lighting circuits, and industry benchmark.

20. The lighting control system of claim 12, wherein the processor is configured to:
detect presence of the one or more skylights in a site based on analysis of at least one of the site configuration data, the site instrumentation data, the ambient data, site satellite images, and street view of the site; and
identify the one or more skylight linked lighting circuits from the plurality of lighting circuits corresponding to each skylight upon detecting presence of the one or more skylights.

Dated this 11th day of March, 2016

Swetha SN
Of K&S Partners
Agent for the Applicant
, Description:TECHNICAL FIELD
This disclosure relates generally to daylight harvesting, and more particularly to a system and method for optimizing usage of one or more skylights in one or more distributed sites to facilitate daylight harvesting.