MODELING ENERGY CONVERSION IN SYSTEMS

• US 20140278699A1
• Filed: 03/15/2013
• Published: 09/18/2014
• Est. Priority Date: 03/15/2013
• Status: Active Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Parthasarathy, Girija, Schindler, Zdenek, Appireddygari, SambaSiva R.
• Application Number:
  US13/841,131
• Publication Number:
  US 20140278699A1
• Time in Patent Office: Days
• US Class Current: 705/7.23
• 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 30/00 Commerce
• CPC Class Codes: G06Q 50/06 Energy or water supply

Abstract

Methods, systems, and computer-readable mediums for modeling energy conversion in systems are described herein. One method includes identifying an external parameter that influences operation of the system, determining a characteristic curve of a component of the system using a value of the identified external parameter, and determining a model of energy conversion in the system using the characteristic curve of the component.

Claims

1. A computer implemented method for modeling energy conversion in a system including;

identifying an external parameter that influences operation of the system;

determining a characteristic curve of a component of the system using a value of the identified external parameter; and

determining a model of energy conversion in the system using the characteristic curve of the component.

2. The computer implemented method of claim 1, wherein determining the model of energy conversion in the system includes predicting an operating cost of the system.

3. The computer-implemented method of claim 1, wherein the method includes determining the characteristic curve of the component based on equipment profile data associated with the component.

4. The computer-implemented method of claim 1, wherein determining the characteristic curve of the component includes:

calculating a plurality of energy efficiency curves of the component; and

interpolating the plurality of energy efficiency curves of the component.

6. The computer-implemented method of claim 1, wherein identifying the external parameter includes calculating a relationship between the external parameter and operation of the component.

7. The computer-implemented method of claim 6, wherein calculating the relationship includes calculating at least one of an effect of the external parameter on energy efficiency of the component and an effect of the external parameter on energy conversion capacity of the component.

5. The computer-implemented method of 1, wherein the method includes reconstructing the model of energy conversion in the system using an observed value of the external parameter.

8. A non-transitory computer-readable medium storing a set of instructions executable by a processor to cause a computer to:

identify an external parameter that influences operation of the system using historical data;

determine a relationship between the external parameter and operation of the system;

determine a characteristic curve of a component of the system based on the determined relationship using a value of the external parameter; and

determine a model of energy conversion in the system using the characteristic curve.

9. The medium of claim 8, wherein the instructions to determine the model of energy conversion further include instructions to determine the model of energy conversion based on a description of an interconnection of a plurality of components including the component.

10. The medium of claim 8, wherein the instructions to determine the characteristic curve of the component further include instructions to determine energy efficiency curves for the component under different values of the external parameter.

11. The medium of claim 8, wherein the instructions further include instructions to allocate resources using the model of energy conversion based on received data identifying energy supply sources for the system.

12. The medium of claim 8, wherein the instructions further include instructions to allocate resources using the model of energy conversion to meet an identified energy demand.

13. The medium of claim 8, wherein the instructions further include instructions to collect equipment profile data to determine the characteristic curve for the component.

14. The medium of claim 8, wherein the instructions are further executable to:

revise the characteristic curve for the component based on an observed value of the external parameter; and

reconstruct the model of energy conversion in the system using the revised characteristic curve.

15. A system for modeling energy conversion in a system, comprising:

a memory resource; and

a processing resource coupled to the memory resource, wherein the processing resource is configured to execute executable instructions stored in the memory resource to;

identify energy demand of energy consumers associated with the system for a time period;

identify an energy cost of energy supply for the time period;

for each component among a plurality of components of the system;

identify an external parameter that influences operation of the system;

determine a set of curves depicting energy efficiency of the component using equipment profile data for the component and a set of known values for the external parameter;

determine a relationship between the external parameter and operation of the component using the set of curves; and

determine a characteristic curve of the component based on a set value of the external parameter for the time period and the determined relationship;

determine a model of energy conversion in the system using the characteristic curve of each of the plurality of components and a description of an interconnection of the plurality of components; and

allocate resources, including the plurality of components, using the model of energy conversion based on the identified energy demand and identified energy cost.

16. The system of claim 15, wherein the instructions to identify energy demand further include instructions to receive historical data identifying past energy demand of energy consumers.

17. The system of claim 15, wherein the instructions to identify energy demand further include instructions to identify the energy demand using past energy demand data identifying types of energy in demand at a previous time period.

18. The system of claim 15, wherein the processing resource is designed to further carry out the set of instructions to selectively allocate a sub-set of the plurality of components using the model of energy conversion to meet the identified energy demand.

19. The system of claim 15, wherein the processing unit is designed to further carry out the set of instructions to determine whether the allocation of resources using the model of energy conversion is feasible.

20. The system of claim 15, wherein the processing unit is designed to further carry out the set of instructions to allocate the resources using the model of energy conversion includes instructions to determine the allocation of resources has a lowest operating cost to meet the identified energy demand as compared to an alternative set of resource allocation solutions.