COMFORT ESTIMATION AND INCENTIVE DESIGN FOR ENERGY EFFICIENCY

• US 20150330645A1
• Filed: 11/29/2012
• Published: 11/19/2015
• Est. Priority Date: 11/29/2012
• Status: Abandoned Application

• Current Assignee: United Technologies Corporation (Raytheon Technologies Corporation d/b/a RTX)
• Original Assignee: United Technologies Corporation (Raytheon Technologies Corporation d/b/a RTX)
• Inventors: Sahai, Tuhin, Banaszuk, Andrzej, Speranzon, Alberto
• Application Number:
  US14/648,056
• Publication Number:
  US 20150330645A1
• Time in Patent Office: Days
• 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 11/58 using Internet communication
• CPC Class Codes: F24F 11/62 characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
• CPC Class Codes: F24F 11/63 Electronic processing
• CPC Class Codes: F24F 2120/00 Control inputs relating to users or occupants
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• 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 50/16 Real estate

Abstract

A method for providing comfort estimation for a space includes receiving sensor data identifying an environmental condition for the space; receiving comfort data from occupants of the space combining the sensor data and comfort data to provide combined data; generating a comfort relation network in response to the combined data; and performing network analysis on the comfort relation network to identify communities within the comfort relation network.

Claims

1. A method for providing comfort estimation for a space, the method comprising:

receiving sensor data identifying an environmental condition for the space;

receiving comfort data from occupants of the space;

combining the sensor data and comfort data to provide combined data;

generating a comfort relation network in response to the combined data; and

performing network analysis on the comfort relation network to identify communities within the comfort relation network.

2. The method of claim 1 further comprising:

generating incentives in response to the communities, the incentives designed for the occupants to reduce energy consumption.

3. The method of claim 2 further comprising:

providing the incentives to the occupants.

4. The method of claim 1 further comprising:

providing the communities to an environment control system, the environment control system controlling an environmental variable at the space.

5. The method of claim 1 wherein generating the comfort relation network includes determining a distance between comfort data for each pair of occupants providing comfort data.

6. The method of claim 1 wherein performing network analysis on the comfort relation network to identify communities within the comfort relation network includes performing a community detection process.

7. The method of claim 1 wherein performing network analysis on the comfort relation network to identify communities within the comfort relation network includes determining at least one of age, gender and role of the occupants.

8. The method of claim 1 further comprising:

receiving external network data from an external network, the combined data including the sensor data, the comfort data and the external network data.

9. The method of claim 1 wherein the space includes a plurality of distinct spaces in multiple buildings.

10. A system for providing comfort estimation for a space, the system comprising:

a data fusion module receiving sensor data identifying an environmental condition for the space, receiving comfort data from occupants of the space and combining the sensor data and comfort data to provide combined data;

a comfort relation network estimation module generating a comfort relation network in response to the combined data; and

a network analysis module performing network analysis on the comfort relation network to identify communities within the comfort relation network.

11. The system of claim 10 further comprising:

an incentives engine for generating incentives in response to the communities, the incentives designed for the occupants to reduce energy consumption.

12. The system of claim 11 wherein:

the incentives engine provides the incentives to the occupants.

13. The system of claim 10 further comprising:

an environment control system, the environment control system controlling an environmental variable at the space in response to the communities.

14. The system of claim 10 wherein the comfort relation network estimation module determines a distance between comfort data for each pair of occupants providing comfort data.

15. The system of claim 10 wherein the network analysis module performs network analysis on the comfort relation network to identify communities within the comfort relation network by performing a community detection process.

16. The system of claim 10 wherein the network analysis module identifies communities within the comfort relation network by determining at least one of age, gender, preferences, and role of the occupants.

17. The system of claim 10 wherein the data fusion module receives external network data from an external network, the combined data including the sensor data, the comfort data and the external network data.

18. The system of claim 10 wherein the space includes a plurality of distinct spaces in multiple buildings.

19. A computer program embodied on a non-transitory computer-readable storage medium, the computer program including instructions for causing a processor to implement a process for providing comfort estimation for a space, the process comprising:

receiving sensor data identifying an environmental condition for the space;

receiving comfort data from occupants of the space;

combining the sensor data and comfort data to provide combined data;

generating a comfort relation network in response to the combined data;

performing network analysis on the comfort relation network to identify communities within the comfort relation network; and

providing incentives to the occupants to promote energy efficient behavior.