Real time capacity monitoring for measurement and verification of demand side management

• US 9,454,141 B2
• Filed: 06/04/2015
• Issued: 09/27/2016
• Est. Priority Date: 06/06/2014
• Status: Expired due to Fees

• Current Assignee: Innovari, Inc.
• Original Assignee: Innovari, Inc.
• Inventors: Friedrich, Loran, Walden, David, Hickman, Chris, Raymond, Laura V., Tillett, James, Pierce, Eric, Whalen, John
• Primary Examiner(s): Shechtman, Sean
• Application Number:
  US14/730,777
• Publication Number:
  US 20150355650A1
• Time in Patent Office: 481 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: F24F 11/30 for purposes related to the operation of the system, e.g. for safety or monitoring
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/66 Sleep mode
• CPC Class Codes: F24F 2120/10 Occupancy
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 2310/12 The local stationary network supplying a household or a building
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/244 the home appliances being or involving heating ventilating and air conditioning [HVAC] units

Abstract

Systems are described that provide monitoring for control, measurement and verification of demand side management resources. Control units deployed among customer or utility premises can monitor capacity as real or reactive power that is consumed, generated or stored by resources and, in some cases, selectively alter the load consumed or energy delivered by some or all of such resources derived from load capacity and dispatch models. Related apparatus, systems, techniques and articles are also described.

Claims

1. A method comprising:

receiving data characterizing a present operating status of each of a plurality of load consuming resources within a plurality of buildings and ambient temperature within such buildings, each resource being remotely controllable in relation to its load consuming activities;

first estimating, for each resource using one of a plurality of load capacity models and derived from the received data, an amount of potential load adjustment, the load capacity models being derived from coordinating testing of historical observations demonstrating how consumed load varies for each resource due to changes in ambient air temperature and building occupancy;

second estimating, for each resource using one of a plurality of dispatch models and derived from the received data, a length of time that an amount of load being consumed by the resource can be reduced, the dispatch models being correlated to changes in ambient air temperature;

determining an effective and aggregate load adjustment for the resources derived from the first estimating and the second estimating;

determining, derived from determined dispatch durations, which of the resources should be controlled so as to alter aggregate load;

transmitting data to at least one control unit to effect the effective and aggregate load adjustment at the determined resources; and

wherein the at least one control unit comprises at least one processor and memory storing instructions causing data to be transmitted to one or more connected resources to cause a load consuming profile of such resources to selectively change.

2. The method of claim 1, wherein the at least one control unit generates the data characterizing the present operating status of each of the plurality of load consuming resources.

3. The method of claim 1, further comprising:

third estimating, for each resource using one of a plurality of utilization models and derived from the received data, an amount of time that each resource will be used over a period of time;

wherein a determined effective dispatch duration for each resource is further derived from the third estimating.

4. The method of claim 1, wherein at least one of the receiving, first estimating, second estimating, determining or providing is implemented by at least one data processor forming part of at least one machine.

5. The method of claim 1, wherein the providing comprises at least one of:

displaying the data characterizing the effective and aggregate load adjustment for the resources, storing the data characterizing the effective and aggregate load adjustment for the resources, transmitting the data characterizing the effective and aggregate load adjustment for the resources to a remote computing system, or loading the data characterizing the effective and aggregate load adjustment for the resources into memory.

6. The method of claim 1, wherein the received data further comprises humidity data within such buildings, wherein at least one of the load capacity models or the dispatch models uses the humidity data for estimations.

7. A system comprising:

at least one data processor; and

memory storing instructions which, when executed by the at least one data processor, result in operations comprising;

receiving data characterizing a present operating status of each of a plurality of load consuming resources within a plurality of buildings and ambient temperature within such buildings, each resource being remotely controllable in relation to its load consuming activities;

first estimating, for each resource using one of a plurality of load capacity models and derived from the received data, an amount of potential load adjustment, the load capacity models being derived from coordinating testing of historical observations demonstrating how consumed load varies for each resource due to changes in ambient air temperature and building occupancy;

second estimating, for each resource using one of a plurality of dispatch models and derived from the received data, a length of time that an amount of load being consumed by the resource can be reduced, the dispatch models being correlated to changes in ambient air temperature;

determining an effective and aggregate load adjustment for the resources derived from the first estimating and the second estimating;

determining, derived from determined dispatch durations, which of the resources should be controlled so as to adjust load;

transmitting data to at least one load control unit to effect the effective and aggregate load adjustment at the determined resources; and

wherein the at least one control unit comprises at least one processor and memory storing instructions causing data to be transmitted to one or more connected resources to cause a load consuming profile of such resources to selectively change.

8. The system of claim 7, wherein the at least one control unit generates at least a portion of the data characterizing the present operating status of each of the plurality of load consuming resources.

9. The system of claim 7, wherein the operations further comprise:

third estimating, for each resource using one of a plurality of utilization models and derived from the received data, an amount of time that each resource will be used over a period of time;

wherein a determined effective dispatch duration for each resource is further derived from the third estimating.

10. The system of claim 7, wherein the providing comprises at least one of:

displaying the data characterizing the effective and aggregate load adjustment for the resources, storing the data characterizing the effective and aggregate load adjustment for the resources, transmitting the data characterizing the effective and aggregate load adjustment for the resources to a remote computing system, or loading the data characterizing the effective and aggregate load adjustment for the resources into memory.

11. The system of claim 7, wherein the received data further comprises humidity data within such buildings, wherein at least one of the load capacity models or the dispatch models uses the humidity data for estimations.

12. A non-transitory computer program product storing instructions which, when executed by at least one data processor forming part of at least one computing system, result in operations comprising:

receiving data characterizing a present operating status of each of a plurality of load consuming resources within a plurality of buildings and ambient temperature within such buildings, each resource being remotely controllable in relation to its load consuming activities;

first estimating, for each resource using one of a plurality of load capacity models and derived from the received data, an amount of potential load adjustment, the load capacity models being derived from coordinating testing of historical observations demonstrating how consumed load varies for each resource due to changes in ambient air temperature and building occupancy;

second estimating, for each resource using one of a plurality of dispatch models and derived from the received data, a length of time that an amount of load being consumed by the resource can be reduced, the dispatch models being correlated to changes in ambient air temperature;

determining an effective and aggregate load adjustment for the resources derived from the first estimating and the second estimating;

determining, derived from determined dispatch durations, which of the resources should be controlled so as to adjust load;

transmitting data to at least one load control unit to effect the effective and aggregate load adjustment at the determined resources; and

wherein the at least one control unit comprises at least one processor and memory storing instructions causing data to be transmitted to one or more connected resources to cause a load consuming profile of such resources to selectively change.

13. The computer program product of claim 12, wherein the at least one control unit generates at least a portion of the data characterizing the present operating status of each of the plurality of load consuming resources.

14. The computer program product of claim 12, wherein the operations further comprise:

third estimating, for each resource using one of a plurality of utilization models and derived from the received data, an amount of time that each resource will be used over a period of time;

wherein a determined effective dispatch duration for each resource is further derived from the third estimating.

15. The computer program product of claim 12, wherein the providing comprises at least one of:

displaying the data characterizing the effective and aggregate load adjustment for the resources, storing the data characterizing the effective and aggregate load adjustment for the resources, transmitting the data characterizing the effective and aggregate load adjustment for the resources to a remote computing system, or loading the data characterizing the effective and aggregate load adjustment for the resources into memory.

16. The computer program product of claim 12, wherein the received data further comprises humidity data within such buildings, wherein at least one of the load capacity models or the dispatch models uses the humidity data for estimations.