THERMAL TIME CONSTRAINTS FOR DEMAND RESPONSE APPLICATIONS

• US 20120016524A1
• Filed: 07/16/2010
• Published: 01/19/2012
• Est. Priority Date: 07/16/2010
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Spicer, Lucas Bryant, Besore, John K., Worthington, Timothy Dale
• Application Number:
  US12/837,741
• Publication Number:
  US 20120016524A1
• Time in Patent Office: Days
• US Class Current: 700/276
• CPC Class Codes: F24F 11/46 Improving electric energy efficiency or saving
• CPC Class Codes: F24F 11/54 using one central controller connected to several sub-controllers
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 2219/2642 Domotique, domestic, home control, automation, smart house

Abstract

Apparatus and method for managing energy of a home or other structure are disclosed. The thermal characteristics of a home are determined based on variables such as inside temperatures, outside temperatures, setpoint temperatures, and duty cycles over time. Response time constants of the home are calculated and used to generate at least one transfer function or table to predict and control energy efficiency versus comfort within the home. A user is presented with variations of cost and power consumptions to choose from and be factored into the transfer function.

Claims

1. A method for managing energy of a structure executed via a controller with at least one memory storing executable instructions comprising the method, comprising:

creating thermal characteristic tables with variables comprising time, inside temperatures, outside temperatures, setpoint temperatures and duty cycles, and corresponding to each operating mode of an HVAC unit of the structure, comprising heating modes, cooling modes, fan modes, and an off mode;

calculating time response constants corresponding to each table based on the variables created and with respect to different time durations for the structure to cool and to heat during a heat season and a cooling season; and

determining cost benefit curves based on the time response constants for communicating various temperature schemes to a user.

2. The method of claim 1, further comprising:

generating at least one transfer function to predict heat-up or cool-down times for each operating mode based on the time response constants and a temperature scheme inputted by the user to control variations of cost and power consumption for the structure; and

controlling variations of cost and power consumption comprising pre-chilling or pre-warming the structure for a predetermined time.

3. The method of claim 1, wherein the time durations comprise different time intervals of temperature changes within the structure affected by the variables, wherein the variables further comprise changes in insulation of the structure, changes in the efficiency of the windows or doors of the structure, changes in external shading covering the structure, and/or local variability in short term temperature changes.

4. The method of claim 3, wherein pre-chilling or pre-warming the structure occurs during a time duration before a demand response event or a time of use event while concurrently controlling variations of cost and power consumption with respect to a change in the variables to maintain a desired comfort level within the structure.

5. The method of claim 1, further comprising:

updating at least one thermal characteristic table by storing re-calculated averages for at least one variable of data obtained, wherein the updating occurs at a pre-determined time of day.

6. The method of claim 1, further comprising:

obtaining user preferences for a temperature scheme chosen by the user and generating at least one transfer function to predict heat-up or cool-down times of each operating mode based on the time response constants, the temperature scheme, and the user preferences to control variations of the variables for the structure.

7. The method of claim 1, further comprising:

factoring into the transfer function parameters that impact the thermal characteristics of the structure comprising an amount of sunlight, a time of day, a rate of insulation decay, wind temperature, weather patterns, and/or an amount of shade with respect to time.

8. The method of claim 1, further comprising:

communicating a choice of temperature schemes to the user with the cost benefit curves and time response constants on a user display.

9. The method of claim 1, comprising re-calculating the time constants as the controller operates in different operating modes, or re-calculating the time constants by actively simulating a demand response event or time of use event as the controller operates in the operating mode.

10. The method of claim 1, comprising:

storing variables of data comprising a duty cycle of the HVAC unit and forming a power profiling process comprising;

commanding an energy consuming device within a home area network to turn on;

recording a first power level of a power meter in a power consumption table;

commanding the appliance to turn off;

recording a second power level of the power meter;

determining a power difference based on the first and second power level recorded to be factored into the transfer function; and

factoring the power difference into the transfer function.

19. The method of claim 1, wherein the controller is configured to receive user settings or other input information and factor them into the transfer function, and is configured to provide information to the user display device comprising cost reduction techniques and suggestions for energy savings.

11. A method for managing energy of a structure executed via a controller with at least one memory storing executable instructions comprising the method, comprising:

creating thermal characteristic tables with variables comprising time, inside temperatures, outside temperatures, setpoint temperatures and duty cycles, and corresponding to each operating mode of an energy consuming device of the structure;

calculating time response constants corresponding to each table based on the variables created and with respect to time durations for the structure to cool and to heat during a heat season and a cooling season;

generating at least one transfer function to predict heat-up or cool-down times of each operating mode based on the time response constants, and temperature scheme inputted by the user to control variations of the variables for the structure; and

controlling variations of the variables comprising pre-chilling the structure or pre-warming the structure for a predetermined time.

12. The method of claim 11, further comprising determining cost benefit curves based on the time response constants for communicating various temperature schemes to a user, wherein the energy consuming device comprises an HVAC system comprising heating modes, cooling modes, fan modes, and an off mode.

13. The method of claim 11, wherein the time durations comprise various time intervals of temperature changes within the structure affected by the variables, wherein the variables further comprise changes in insulation of the structure, changes in external shading covering the structure, and/or local instantaneous weather changes.

14. The method of claim 11, wherein pre-chilling or pre-warming the structure occurs before a demand response event or a time of use event to maintain a desired comfort level within the structure.

15. The method of claim 11, further comprising:

factoring into the transfer function impacting parameters comprising an amount of sunlight, a time of day, a rate of insulation decay, wind temperature, weather patterns, and/or an amount of shade with respect to time.

16. An energy management system for automatically learning thermal characteristics of an enclosure and presenting cost benefit options to a user, comprising:

a controller coupled to at least one energy consuming device comprising heating components, cooling components, and fan components, and operative to monitor and control energy consumption of the energy consuming device; and

a user display coupled to the controller to communicate various temperature schemes for cost savings and comfort to the user;

wherein the controller comprises a processor, a memory and a thermal component configured to create thermal characteristic tables in the memory comprising variables of inside temperatures, outside temperatures, setpoint temperatures and duty cycles for each component of the energy consuming device;

wherein the controller comprises a timing component coupled to the thermal component configured to calculate time response constants based on the variables of each thermal characteristic table and to calculate a transfer function according to a chosen temperature scheme for stabilizing variations of the variables.

17. The system of claim 16, further comprising:

a transceiver coupled to the controller configured to send a communication to the energy consuming device that powers the appliance on or off via the communication sent and to obtain information from a power/energy measuring device and the energy consuming device.

18. The system of claim 16, wherein the energy consuming device comprises an HVAC system and the controller comprises a home energy manger and/or a programmable communicating thermostat.