NOC-oriented apparatus and method for controlling peak energy demand

• US 9,996,094 B2
• Filed: 04/21/2015
• Issued: 06/12/2018
• Est. Priority Date: 08/31/2011
• Status: Active Grant

• Current Assignee: Enel X North America, Inc. (ENEL SPA)
• Original Assignee: Enernoc
• Inventors: Willig, Randy C., Mathews, Jeffrey P.
• Primary Examiner(s): Dalencourt, Yves
• Assistant Examiner(s): Halim, Sahera
• Application Number:
  US14/691,907
• Publication Number:
  US 20150227152A1
• Time in Patent Office: 1,148 Days
• Field of Search: 700295, 700286, 700291, 709226, 709227, 709249, 709229, 709224
• CPC Class Codes: G05B 13/04 involving the use of models or simulators
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05F 1/66 Regulating electric power
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00016 using a wired telecommunication network or a data transmission bus
• CPC Class Codes: H02J 13/00017 using optical fiber
• CPC Class Codes: H02J 2310/12 The local stationary network supplying a household or a building
• CPC Class Codes: H02J 3/004 Generation forecast, e.g. methods or systems for forecasting future energy generation
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/83 based on usage prediction
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/1078 Resource delivery mechanisms
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• CPC Class Codes: H04L 67/62 Establishing a time schedule for servicing the requests
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/124 using wired telecommunication networks or data transmission busses
• CPC Class Codes: Y04S 40/18 : Network protocols supporting networked applications, e.g. including control of end-device applications over a network

Abstract

Coupling a first and second nodes, and a monitor node together within a facility via network; via the monitor node, broadcasting whether a non-system device consumes a resource; via the first node, transmitting data and status via the network for generation of schedules, and operating a first device within an acceptable operating margin to maintain a first environment by cycling on and off according to the schedules; and via a network operations center external to the facility, generating the schedules to control peak demand of the resource, where one or more run times start prior to when otherwise required to maintain local environments, and coordinating run times for the first device and a second device, where coordination is based on a global schedule, an adjusted first descriptor set characterizing the first environment, and an adjusted second descriptor set characterizing a second environment, and data broadcast by the monitor node.

Claims

1. An apparatus for controlling peak demand of a resource within a facility, the apparatus comprising:

a monitor node, disposed within the facility, coupled to a non-system energy consuming device and to a demand coordination network, configured to determine and broadcast whether said non-system device is consuming the resource;

a first control node, disposed within the facility and coupled to a second control node via said demand coordination network, said first control node comprising;

a node processor, coupled to a first energy consuming device, configured to transmit sensor data and device status via said demand coordination network for generation of a plurality of run time schedules, and configured to operate said first energy consuming device within an acceptable operating margin to maintain a first local environment by cycling on and off according to said plurality of run time schedules; and

a network operations center (NOC), disposed external to the facility, configured to generate said plurality of run time schedules to control the peak demand of the resource, wherein one or more run times start prior to peak demand of the resource to maintain corresponding local environments, said NOC comprising;

a global schedule module, operationally coupled to said first node processor, configured to coordinate run times for said first energy consuming device and a second energy consuming device, wherein coordination is based on a global run time schedule, an adjusted first descriptor set characterizing said first local environment, and an adjusted second descriptor set characterizing a second local environment, and energy consumption data broadcast by said monitor node.

2. The apparatus as recited in claim 1, wherein coordination of said run times for said first and second energy consuming devices comprises advancing a first one or more of a plurality of start times, deferring a second one or more of said plurality of start times, and increasing one or more of a plurality of duty cycles.

3. The apparatus as recited in claim 1, wherein said NOC develops sets of descriptors, each set characterizing an associated one of said corresponding local environments.

4. The apparatus as recited in claim 3, wherein said NOC employs said sensor data and said device status to adjust associated sets of descriptors.

5. The apparatus as recited in claim 1, wherein said NOC develops and maintains said global run time schedule that specifies start time, duration, and duty cycle for said first and second energy consuming devices.

6. The apparatus as recited in claim 1, wherein said NOC further comprises:

a local model module, coupled to said global model module, configured to develop a third descriptor set characterizing a third local environment associated with said first energy consuming device.

7. The apparatus as recited in claim 6, wherein said NOC further comprises:

a global model module, coupled to said local model module and said global schedule module, configured to develop said adjusted first and second descriptor sets, wherein said adjusted first and second descriptor sets are based upon said third descriptor set, a fourth descriptor set characterizing a fourth local environment associated with said second energy consuming device, and global sensor data received over said demand coordination network.

8. The apparatus as recited in claim 1, wherein said demand coordination network comprises an IEEE 802.15.4 wireless network.

9. A peak demand control system, for managing peak energy demand within a facility, the peak demand control system comprising:

a monitor node, disposed within the facility, coupled to a non-system energy consuming device and to a demand coordination network, configured to determine and broadcast whether said non-system device is consuming the resource;

a first control node, disposed within the facility and coupled to a second control node via said demand coordination network, said first control node comprising;

a node processor, coupled to a first energy consuming device, configured to transmit sensor data and device status via said demand coordination network for generation of a plurality of run time schedules, and configured to operate said first energy consuming device within an acceptable operating margin to maintain a first local environment by cycling on and off according to said plurality of run time schedules; and

a network operations center (NOC), disposed external to the facility, configured to generate said plurality of run time schedules to control peak demand of a resource, wherein one or more run times start prior to said peak demand of said resource to maintain corresponding local environments, said NOC comprising;

a global schedule module, operationally coupled to said first node processor, configured to coordinate run times for said first energy consuming device and a second energy consuming device, wherein coordination is based on a global run time schedule, an adjusted first descriptor set characterizing said first local environment, and an adjusted second descriptor set characterizing a second local environment, and energy consumption data broadcast by said monitor node; and

one or more sensor nodes, disposed within the facility, coupled to said demand coordination network, configured to provide one or more global sensor data sets to said NOC, wherein said NOC employs said one or more global sensor data sets in determining said run times.

10. The peak demand control system as recited in claim 9, wherein coordination of said run times for said first and second energy consuming devices comprises advancing a first one or more of a plurality of start times, deferring a second one or more of said plurality of start times, and increasing one or more of a plurality of duty cycles.

11. The peak demand control system as recited in claim 9, wherein said NOC develops sets of descriptors, each set characterizing an associated one of said corresponding local environments.

12. The peak demand control system as recited in claim 11, wherein said NOC employs said sensor data and said device status to adjust associated sets of descriptors.

13. The peak demand control system as recited in claim 9, wherein said NOC develops and maintains said global run time schedule that specifies start time, duration, and duty cycle for said first and second energy consuming devices.

14. The peak demand control system as recited in claim 9, wherein said NOC generates two or more of said plurality of run time schedules for said each of said plurality of devices, and wherein said each of said plurality of control nodes selects one of said two or more of said plurality of run time schedules for execution based upon latency of last communication with said NOC.

15. The peak demand control system as recited in claim 9, wherein said demand coordination network comprises an IEEE 802.15.4 wireless network.

16. A method for controlling peak demand of a resource within a facility, the method comprising:

coupling a first control node, a second control node, and a monitor node together within the facility via a demand coordination network;

via the monitor node, determining and broadcasting whether a non-system device is consuming the resource;

via the first control node, transmitting sensor data and device status via the demand coordination network for generation of a plurality of run time schedules, and operating a first energy consuming device within an acceptable operating margin to maintain a first local environment by cycling on and off according to the plurality of run time schedules; and

via a network operations center (NOC) disposed external to the facility, generating the plurality of run time schedules to control the peak demand of the resource, wherein one or more run times start prior to the peak demand of the resource to maintain corresponding local environments, and coordinating run times for the first energy consuming device and a second energy consuming device, wherein coordination is based on a global run time schedule, an adjusted first descriptor set characterizing the first local environment, and an adjusted second descriptor set characterizing a second local environment, and energy consumption data broadcast by the monitor node.

17. The method as recited in claim 16, wherein coordination of the run times for the first and second energy consuming devices comprises advancing a first one or more of a plurality of start times, deferring a second one or more of the plurality of start times, and increasing one or more of a plurality of duty cycles.

18. The method as recited in claim 16, wherein the NOC develops sets of descriptors, each set characterizing an associated one of the corresponding local environments.

19. The method as recited in claim 18, wherein the NOC employs the sensor data and the device status to adjust associated sets of descriptors.

20. The method as recited in claim 16, wherein the NOC develops and maintains a global run time schedule that specifies start time, duration, and duty cycle for the first and second energy consuming devices.