Cooling system design simulator

• US 20060259285A1
• Filed: 04/28/2006
• Published: 11/16/2006
• Est. Priority Date: 04/28/2005
• Status: Active Grant

• Current Assignee: Copeland Corporation LLC (Emerson Electric Company)
• Original Assignee: Emerson Climate Technologies Incorporated (Emerson Electric Company)
• Inventors: Bahel, Vijay, Dexter, Peter F., Hossain, Altaf, Crone, Thomas E.
• Granted Patent: US 7,908,126 B2
• Time in Patent Office: Days
• US Class Current: 703/7
• CPC Class Codes: G06F 2119/08 Thermal analysis or thermal optimisation
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30

Abstract

A method of computer-based simulation of a cooling system includes receiving configuration data for a heat exchanger of the cooling system, customizing the configuration data for the heat exchanger; simulating cooling system performance by processing the customized configuration data through a model of the cooling system, and generating simulated cooling system performance data, based on the simulating, for evaluating operation of the cooling system.

Claims

1. A method of computer-based simulation of a cooling system, the method comprising:

receiving configuration data for a heat exchanger of said cooling system;

customizing said configuration data for said heat exchanger;

simulating performance of said cooling system by processing said customized configuration data through a model of said cooling system; and

generating cooling system performance data, based on said simulating, for evaluating operation of said cooling system.

2. The method of claim 1 wherein said receiving said configuration data for said heat exchanger includes receiving configuration data for an evaporator heat exchanger of said cooling system.

3. The method of claim 1 wherein said receiving said configuration data for said heat exchanger includes receiving inputted configuration data for a condenser heat exchanger of said cooling system.

4. The method of claim 1 wherein said customizing said configuration data for said heat exchanger includes receiving heat exchanger tubing geometry data including at least one of:

tube length data, number of tubing rows data, number of tubes per row data, outside tubing diameter data, tubing wall thickness data, tube type data, tube material data, horizontal tube spacing data, vertical tube spacing data, number of equivalent parallel circuits data, number of internal legs data, leg thickness data and micro-channel port data.

5. The method of claim 1 wherein said customizing said configuration data for said heat exchanger includes receiving heat exchanger fin data including at least one of:

fin length data, fin depth data, fin height data, fin density data, fin thickness data, fin pattern data, fin material data and number of fins data.

6. The method of claim 1 wherein said customizing said configuration data for said heat exchanger includes receiving heat exchanger coil part number data.

7. The method of claim 1 wherein said customizing said configuration data for said heat exchanger includes receiving header-to-header distance data.

8. The method of claim 1 wherein said customizing said configuration data for said heat exchanger includes receiving air flow data for said heat exchanger.

9. The method of claim 8 wherein said receiving -said air flow data includes receiving at least one of:

air flow rate data, dry bulb air temperature data, wet bulb air temperature data, air pressure data, test type data and humidity data.

10. The method of claim 1 wherein said customizing said configuration data includes receiving refrigerant data for said heat exchanger including at least one of:

refrigerant type data, refrigerant temperature data and refrigerant flow rate data.

11. The method of claim 1 wherein said customizing said configuration data includes receiving heat exchanger capacity data.

12. The method of claim 1 further comprising displaying said simulated cooling system performance data.

13. A method of computer-based simulation of a cooling system, the method comprising:

receiving inputted parametric data for said cooling system corresponding to predetermined simulated operating conditions for said cooling system;

simulating cooling system performance by processing said parametric data through a model of said cooling system; and

generating simulated cooling system performance data, based on said simulating, for evaluating operation of said cooling system.

14. The method of claim 13 wherein said receiving inputted parametric data includes receiving a parametric range corresponding to said simulated operating conditions and wherein said simulating cooling system performance by processing said parametric data through said model of said cooling system includes performing a plurality of cooling system simulations corresponding to said range.

15. The method of claim 14 wherein said receiving said parametric range includes receiving an initial parametric value, a final parametric value and a number of increments value.

16. The method of claim 15 wherein said performing said plurality of cooling system simulations includes performing a cooling system simulation for each of said initial parametric value, said final parametric value and at east one intermediate parametric value between said initial parametric value and said final parametric value based on said number of increments value.

17. The method of claim 13 wherein said receiving said inputted parametric data includes receiving parametric values corresponding to at least one of:

compressor inlet superheat data, evaporator dry bulb temperature data, evaporator wet bulb temperature data, evaporator air flow rate data, evaporator number of tube rows data, evaporator number of tubes per row data, evaporator finned surface area data and evaporator fin density data.

18. The method of claim 13 wherein said receiving said inputted parametric data includes receiving parametric values corresponding to at least one of:

condenser exit sub-cooling data, condenser dry bulb temperature data, condenser wet bulb temperature data, condenser air flow rate data, condenser number of tube rows data, condenser number of tubes per row data, condenser finned surface area data and condenser fin density data.

19. A method of computer-based simulation of a heat exchanger system, the method comprising:

receiving heat exchanger system configuration data;

simulating heat exchanger system performance by processing said heat exchanger system configuration data through a model of said system;

generating simulated heat exchanger system performance data based on said simulating; and

rating said heat exchanger system based on said generated simulated heat exchanger system performance data.

20. The method of claim 19 wherein said rating said heat exchanger system includes calculating a seasonal energy efficiency ratio for said heat exchanger system based on said generated simulated heat exchanger system performance data.

21. The method of claim 20 wherein said receiving said heat exchanger system configuration data includes receiving configuration data for a single capacity cooling system and wherein said calculating said seasonal energy efficiency ratio for said heat exchanger system includes calculating a single capacity seasonal energy efficiency ratio.

22. The method of claim 20 wherein said receiving said heat exchanger system configuration data includes receiving configuration data for a dual capacity cooling system and wherein said calculating said seasonal energy efficiency ratio for said heat exchanger system includes calculating a dual capacity seasonal energy efficiency ratio.

23. The method of claim 19 wherein said receiving said heat exchanger system configuration data includes receiving configuration data for a heat pump system and wherein said rating said heat exchanger system includes calculating a heating seasonal performance factor for said heat pump system.

24. The method of claim 23 wherein said receiving said configuration data for said heat pump system includes receiving configuration data for a single capacity heat pump system and wherein said calculating said heating seasonal performance factor includes calculating a single capacity heating seasonal performance factor.

25. The method of claim 23 wherein said receiving said configuration data for said heat pump system includes receiving configuration data for a dual capacity heat pump system and wherein said calculating said heating seasonal performance factor includes calculating a dual capacity heating seasonal performance factor.