# US 10,503,193 B2 · Dispatch system employing weather induced facility energy consumption characterizations

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- Number: US 10,503,193 B2
- Document ID: US10503193B2
- Status: Granted
- Kind: B2
- Application number: 15/903,533
- Filed: 2018-02-23
- Published: 2018-07-05
- Granted: 2019-12-10
- Earliest claimed: 2015-03-31
- Assignees: Enel X North America, Inc.
- Applicants: Enernoc, Inc.
- Inventors: Husain Al-Mohssen; Angela S. Bassa; Richard R. Paradis
- Web page: https://patentgrep.com/patent/US10503193B2

## CPC

- G05F 1/66: Regulating electric power
- G05B 13/026: {using a predictor}
- G05B 15/02: electric
- 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)
- G06Q 50/06: Energy or water supply
- H02J 3/00: Circuit arrangements for AC mains or AC distribution networks
- H02J 13/183: the equipment comprising energy storage systems
- H04L 12/2816: {Controlling appliance services of a home automation network by calling their functionalities (arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station; in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom H04Q9/00)}
- G05B 2219/2642: Domotique, domestic, home control, automation, smart house
- H02J 3/003: {Load forecast, e.g. methods or systems for forecasting future load demand}
- H02J 2105/12: supplying households or buildings
- Y02B 70/30: Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B 70/3225: Demand response systems, e.g. load shedding, peak shaving
- Y02P 80/10: Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
- Y04S 20/20: End-user application control systems
- Y04S 20/222: Demand response systems, e.g. load shedding, peak shaving
- G05F: SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- Y02B: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS

## Abstract

A method for dispatching buildings in a demand response program event including generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a non-linear parabolic analysis on each set to yield non-linear parabolic model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.

## Claims

### Claim 1

A demand response dispatch system, comprising:
a building lag optimizer circuit, configured to receive identifiers for buildings participating in a demand response program, and configured to generate energy use data sets for each of said buildings, each of said energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, wherein said corresponding time values comprise hourly values, and wherein said energy consumption values within said each of said energy use data sets are shifted by one of a plurality of lag values relative to said corresponding time and outside temperature values, and wherein each of said plurality of lag values is different from other ones of said plurality of lag values, and wherein said plurality of lag values indicates shifts of said energy consumption value to different time and outside temperature values, and configured to perform a regression analysis on said each of said energy use data sets to yield corresponding regression model parameters and a corresponding residual, and configured to determine a least valued residual from all residuals yielded, said least valued residual indicating a corresponding energy lag for said each of said buildings, and regression model parameters that correspond to said least valued residual, and wherein said corresponding energy lag describes a transient energy consumption period preceding a change in outside temperature;
a dispatch processor, coupled to said building lag optimizer circuit, configured to receive a plurality of energy lags, each corresponding to one of said buildings, and configured to generate a dispatch schedule for a demand response program event according to a prioritization of said plurality of energy lags; and
a dispatch control circuit, coupled to said dispatch processor, configured to control a specified load shedding by performing load shedding actions in the order provided by said dispatch schedule, wherein said dispatch schedule directs for dispatch of ones of said buildings having greater energy lags prior to others of said buildings having lesser energy lags, wherein said dispatch schedule enables said dispatch control circuit to perform dispatch of said buildings to optimally shed energy specified in a dispatch order in a timely manner.

### Claim 2 (depends on 1)

The system as recited in claim 1, wherein said corresponding time values are less than or equal to said each of said plurality of energy lags.

### Claim 3 (depends on 1)

The system as recited in claim 1, wherein said plurality of lag values spans a 24-hour period.

### Claim 4 (depends on 1)

The system as recited in claim 1, wherein said each of said energy use data sets comprises a first portion of a corresponding each of a plurality of baseline energy use data sets, and wherein required energy consumption values resulting from shifts are taken from a second portion of said corresponding each of a plurality of baseline energy use data sets.

### Claim 5

A system for dispatching buildings participating in a demand response program event, the system comprising:
a building lag optimizer circuit, configured to determine an energy lag for a building, said building lag optimizer circuit comprising:
a thermal response processor, configured to generate a plurality of energy use data sets for said building, each of said plurality of energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, wherein said corresponding time values comprise hourly values, and wherein said energy consumption values within said each of said energy use data sets are shifted by one of a plurality of lag values relative to said corresponding time and outside temperature values, and wherein each of said plurality of lag values is different from other ones of said plurality of lag values, and wherein said plurality of lag values indicates shifts of said energy consumption value to different time and outside temperature values; and
a regression engine circuit, coupled to said thermal response processor, configured to receive said plurality of energy use data sets, and configured to perform a regression analysis on said each of said energy use data sets to yield corresponding regression model parameters and a corresponding residual,
wherein said thermal response processor determines a least valued residual from all residuals yielded by said regression engine circuit, said least valued residual indicating said energy lag for said building, wherein said energy lag describes a transient energy consumption period preceding a change in outside temperature;
a dispatch processor, coupled to said building lag optimizer circuit, configured to receive a plurality of energy lags, each corresponding to one of the buildings, and configured to generate a dispatch schedule for the demand response program event according to a prioritization of said plurality of energy lags; and
a dispatch control circuit, coupled to said dispatch processor, configured to control a specified load shedding by performing load shedding actions in the order provided by said dispatch schedule, wherein said dispatch schedule directs for dispatch of ones of said buildings having greater energy lags prior to others of said buildings having lesser energy lags, wherein said dispatch schedule enables said dispatch control circuit to perform dispatch of said buildings to optimally shed energy specified in a dispatch order in a timely manner.

### Claim 6 (depends on 5)

The system as recited in claim 5, wherein said corresponding time values are less than or equal to said each of said plurality of energy lags.

### Claim 7 (depends on 5)

The system as recited in claim 5, wherein said plurality of lag values spans a 24-hour period.

### Claim 8 (depends on 5)

The system as recited in claim 5, wherein said each of said energy use data sets comprises a first portion of a corresponding each of a plurality of baseline energy use data sets, and wherein required energy consumption values resulting from shifts are taken from a second portion of said corresponding each of a plurality of baseline energy use data sets.

### Claim 9

A method for dispatching buildings participating in a demand response program event, the method comprising:
generating a plurality of energy use data sets for each of the buildings, each of the plurality of energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, wherein said corresponding time values comprise hourly values, and wherein said energy consumption values within said each of said energy use data sets are shifted by one of a plurality of lag values relative to said corresponding time and outside temperature values, and wherein each of said plurality of lag values is different from other ones of said plurality of lag values, and wherein said plurality of lag values indicates shifts of said energy consumption value to different time and outside temperature values;
performing a regression analysis on the each of the plurality of energy use data sets to yield corresponding regression model parameters and a corresponding residual;
determining a least valued residual from all residuals yielded by the regression analysis, the least valued residual indicating a corresponding energy lag for the each of the buildings, wherein the corresponding energy lag describes a transient energy consumption period preceding a change in outside temperature;
using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags; and
controlling a specified load shedding by performing load shedding actions in the order provided by the dispatch schedule, wherein the dispatch schedule directs for dispatch of ones of the buildings having greater energy lags prior to others of the buildings having lesser energy lags, wherein the dispatch schedule enables a dispatch control circuit to perform dispatch of the buildings to optimally shed energy specified in a dispatch order in a timely manner.

### Claim 10 (depends on 9)

The method as recited in claim 9, wherein said corresponding time values are less than or equal to said each of said plurality of energy lags.

### Claim 11 (depends on 9)

The method as recited in claim 9, wherein said plurality of lag values spans a 24-hour period.

### Claim 12 (depends on 9)

The method as recited in claim 9, wherein the each of the energy use data sets comprises a first portion of a corresponding each of a plurality of baseline energy use data sets, and wherein required energy consumption values resulting from shifts are taken from a second portion of the corresponding each of a plurality of baseline energy use data sets.