Ensuring fairness in the operation of thermal grids

Patent metadata

Field	Value
Publication number	US-10169836-B2
Application number	US-201615181729-A
Country	US
Kind code	B2
Filing date	Jun 14, 2016
Priority date	Jun 14, 2016
Publication date	Jan 1, 2019
Grant date	Jan 1, 2019

Abstract

Methods, systems, and computer program products for ensuring fairness in the operation of thermal grids are provided herein. A computer-implemented method includes generating one or more models derived from information pertaining to a heating and cooling network, wherein the heating and cooling network comprises multiple consumers; categorizing each of the multiple consumers into one of two groups based on (i) one or more objectives of the heating and cooling network, (ii) the one or more generated models, and (iii) one or more constraints; generating a signal to be sent to each of the consumers categorized within a first of the two groups, wherein the signal comprises a temperature set-point adjustment proposal; and outputting the signals to the consumers categorized within the first of the two groups.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
generating one or more models derived from information pertaining to a heating and cooling network, wherein the heating and cooling network comprises multiple consumers;
categorizing each of the multiple consumers into one of two groups based on (i) one or more objectives of the heating and cooling network, (ii) the one or more generated models, and (iii) one or more constraints, wherein the two groups comprise a group of energy distribution beneficiaries and a group of energy distribution facilitators, and wherein the group of energy facilitators adaptively modify temperature set-points corresponding thereto, thereby assisting in satisfaction of one or more thermal demands of the group of energy distribution beneficiaries;
generating a signal to be sent to each of the consumers categorized within the group of energy facilitators, wherein the signal comprises a temperature set-point adjustment proposal; and
outputting the signals to the consumers categorized within the first of the two groups;
wherein the steps are carried out by at least one computing device.

2. The computer-implemented method of claim 1 , comprising:
providing a user interface capable of carrying out a real-time adjustment of a temperature set-point for one or more of the consumers within the group of energy facilitators.

3. The computer-implemented method of claim 2 , wherein the real-time adjustment of the temperature set-point is within pre-determined bounds.

4. The computer-implemented method of claim 1 , wherein the multiple consumers correspond to multiple buildings.

5. The computer-implemented method of claim 1 , wherein the one or more objectives comprise an overall increase of utility arising from the heating and cooling network.

6. The computer-implemented method of claim 1 , wherein the one or more objectives comprise a reduction in the variance of thermal discomfort across the multiple consumers.

7. The computer-implemented method of claim 1 , wherein said categorizing comprises implementing a look-up table-based approach.

8. The computer-implemented method of claim 7 , wherein said implementing a look-up table-based approach comprises using a look-up table to map one or more demographic parameters of a given consumer to the given consumer's potential for energy distribution facilitation.

9. The computer-implemented method of claim 7 , wherein said implementing a look-up table-based approach comprises using a look-up table to map one or more demographic parameters of a given consumer to the given consumer's potential candidacy for being an energy distribution beneficiary.

10. The computer-implemented method of claim 1 , wherein said categorizing comprises implementing a look-ahead optimization-based approach wherein estimated thermal values are employed for said categorization.

11. The computer-implemented method of claim 1 , comprising:
quantifying each of the one or more objectives.

12. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to:
generate one or more models derived from information pertaining to a heating and cooling network, wherein the heating and cooling network comprises multiple consumers;
categorize each of the multiple consumers into one of two groups based on (i) one or more objectives of the heating and cooling network, (ii) the one or more generated models, and (iii) one or more constraints, wherein the two groups comprise a group of energy distribution beneficiaries and a group of energy distribution facilitators, and wherein the group of energy facilitators adaptively modify temperature set-points corresponding thereto, thereby assisting in satisfaction of one or more thermal demands of the group of energy distribution beneficiaries;
generate a signal to be sent to each of the consumers categorized within the group of energy facilitators, wherein the signal comprises a temperature set-point adjustment proposal; and
output the signals to the consumers categorized within the first of the two groups.

13. The computer program product of claim 12 , wherein the program instructions executable by a computing device further cause the computing device to:
provide a user interface capable of carrying out a real-time adjustment of a temperature set-point for one or more of the consumers within the group of energy facilitators.

14. The computer program product of claim 12 , wherein said categorizing comprises implementing a look-up table-based approach.

15. The computer program product of claim 12 , wherein said categorizing comprises implementing a look-ahead optimization-based approach wherein estimated thermal values are employed for said categorization.

16. A system comprising:
a memory; and
at least one processor coupled to the memory and configured for:
generating one or more models derived from information pertaining to a heating and cooling network, wherein the heating and cooling network comprises multiple consumers;
categorizing each of the multiple consumers into one of two groups based on (i) one or more objectives of the heating and cooling network, (ii) the one or more generated models, and (iii) one or more constraints, wherein the two groups comprise a group of energy distribution beneficiaries and a group of energy distribution facilitators, and wherein the group of energy facilitators adaptively modify temperature set-points corresponding thereto, thereby assisting in satisfaction of one or more thermal demands of the group of energy distribution beneficiaries;
generating a signal to be sent to each of the consumers categorized within the group of energy facilitators, wherein the signal comprises a temperature set-point adjustment proposal; and
outputting the signals to the consumers categorized within the first of the two groups.

17. A computer-implemented method, comprising:
generating one or more models based on (i) information pertaining to a heating and cooling network and (ii) one or more network constraints, wherein the heating and cooling network comprises multiple consumers;
determining one or more objectives of the heating and cooling network;
categorizing each of the multiple consumers into one of two groups based on (i) the one or more determined objectives and (ii) the one or more generated models, wherein the two groups comprise (a) a group of energy distribution beneficiaries and (b) a group of energy distribution facilitators, wherein the group of energy facilitators adaptively modify temperature set-points corresponding thereto, thereby assisting in satisfaction of one or more thermal demands of the group of energy distribution beneficiaries;
generating one or more signals to be sent to each of the consumers categorized within the group of energy distribution facilitators, wherein the signal comprises a temperature set-point adjustment proposal; and
outputting the one or more signals to the consumers categorized within the group of energy distribution facilitators;
wherein the steps are carried out by at least one computing device.

Assignees

• IBM

Inventors

• Arya Vijay
• Bhattacharya Saptarshi
• Chandan Vikas

Classifications

• G06Q50/06 Primary

  Energy or water supply · CPC title

• G06F30/20

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G06F17/5009

  Physics · mapped topic

• G05B13/041

  in which a variable is automatically adjusted to optimise the performance · CPC title