Dynamic monitoring, diagnosis, and control of cooling tower systems

Patent metadata

Field	Value
Publication number	US-10041736-B2
Application number	US-201314907324-A
Country	US
Kind code	B2
Filing date	Jul 25, 2013
Priority date	Jul 25, 2013
Publication date	Aug 7, 2018
Grant date	Aug 7, 2018

Abstract

A cooling tower simulation system may receive a measurement from a cooling tower sensor and generate a predicted output of a cooling tower system based on a model of the cooling tower system. The simulation system may generate an estimated output using an extended Kalman filter with the measurement and the predicted output as inputs, wherein the estimated output represents a characteristic of the cooling tower system.

First claim

What is claimed is:

1. A cooling tower monitoring system comprising:
a cooling tower system; and
a computing device that is communicatively coupled to the cooling tower system, the computing system comprising:
a memory comprising computer instructions; and
a processor coupled to the memory, wherein, when executing the computer instructions, the processor effectuates operations comprising:
receiving at least one measurement of a composition of a fluid used in the cooling tower system, the at least one measurement from a cooling tower sensor of the cooling tower system;
generating a predicted output of a cooling tower system based on a model of the cooling tower system;
generating an estimated output using an extended Kalman filter with the at least one measurement and the predicted output as inputs, wherein the estimated output represents a characteristic of the fluid used in the cooling tower system;
determining a bias in the at least one measurement from the cooling tower sensor based on the estimated output and the at least one measurement;
adjusting the at least one measurement from the cooling tower sensor to correct the bias; and
adjusting the composition of the fluid used in the cooling tower system based on the adjusted at least one measurement.

2. The cooling tower monitoring system of claim 1 , wherein the predicted output of the cooling tower system is associated with an unmeasured characteristic of the cooling tower system.

3. The cooling tower monitoring system of claim 2 , wherein the operations further comprise adjusting a parameter of the cooling tower system to cause the estimated output to substantially match a setpoint.

4. The cooling tower monitoring system of claim 1 , wherein the operations further comprise adjusting a parameter of the cooling tower system to cause a controlled output to substantially match a setpoint.

5. The cooling tower monitoring system of claim 1 , wherein generating the predicted output comprises generating the predicted output based on historical measurement data received from a second cooling tower sensor.

6. The cooling tower monitoring system of claim 1 , wherein the estimated output is associated with an unmeasured characteristic of the cooling tower system; and wherein the operations further comprise adjusting operation of the cooling tower system using the estimated output and a real-time optimizer.

7. A method of monitoring a cooling tower system, comprising:
receiving, at a computing device, at least one measurement of a composition of a fluid used in the cooling tower system, the at least one measurement from a cooling tower sensor of a cooling tower system that is communicatively coupled to the computing device;
generating, at the computing device, a predicted output of the cooling tower system based on a model of the cooling tower system;
generating, at the computing device, an estimated output using an extended Kalman filter with the at least one measurement and the predicted output as inputs, wherein the estimated output represents a characteristic of the fluid used in the cooling tower system;
determining a bias in the at least one measurement from the cooling tower sensor based on the estimated output;
adjusting the at least one measurement to correct for the determined bias; and
adjusting the composition of the fluid used in the cooling tower system based on the adjusted at least one measurement.

8. The method of claim 7 , wherein the predicted output of the cooling tower system is associated with an unmeasured characteristic of the cooling tower system.

9. The method of claim 8 , further comprising adjusting a parameter of the cooling tower system to cause the estimated output to substantially match a setpoint.

10. The method of claim 7 , further comprising adjusting a parameter of the cooling tower system to cause a controlled output to substantially match a setpoint.

11. The method of claim 7 , wherein generating the predicted output comprises generating the predicted output based on historical measurement data received from a second cooling tower sensor.

12. The method of claim 7 , wherein the estimated output is associated with an unmeasured characteristic of the cooling tower system; and wherein the method further comprises adjusting operation of the cooling tower system using the estimated output and a real-time optimizer.

13. A non-transitory computer-readable storage medium comprising executable instructions that when executed by a processor of a computing device that is communicatively coupled to a cooling tower system cause the processor to effectuate operations comprising:
receiving at least one measurement of a composition of a fluid used in the cooling tower system, the at least one measurement from a cooling tower sensor of the cooling tower system;
generating a predicted output of the cooling tower system based on a model of the cooling tower system;
generating an estimated output using an extended Kalman filter with the at least one measurement and the predicted output as inputs, wherein the estimated output represents a characteristic of the fluid used in the cooling tower system;
determining a bias in the at least one measurement from the cooling tower sensor based on the estimated output;
adjusting the at least one measurement to correct the determined bias; and
adjusting the composition of the fluid used in the cooling tower system based on the adjusted at least one measurement.

14. The non-transitory computer-readable storage medium of claim 13 , wherein the predicted output of the cooling tower system is associated with an unmeasured characteristic of the cooling tower system.

15. The non-transitory computer-readable storage medium of claim 14 , wherein the operations further comprise adjusting a parameter of the cooling tower system to cause the estimated output to substantially match a setpoint.

16. The non-transitory computer-readable storage medium of claim 13 , wherein the operations further comprise adjusting a parameter of the cooling tower system to cause a controlled output to substantially match a setpoint.

17. The non-transitory computer-readable storage medium of claim 13 , wherein the estimated output is associated with an unmeasured characteristic of the cooling tower system; and
wherein the operations further comprise adjusting operation of the cooling tower system using the estimated output and a real-time optimizer.

Assignees

• Bl Technologies Inc

Inventors

• Kumar Aditya
• Ellis Brett R
• Wan Zhaoyang
• Pierce Claudia C
• Dokucu Mustafa Tekin
• Wu Dongrui
• Balram Sangeeta

Classifications

• G05B23/0243

  model based detection method, e.g. first-principles knowledge model · CPC title

• F28F27/003

  specially adapted for cooling towers · CPC title

• F28F2200/00

  Prediction; Simulation; Testing · CPC title

• F28C1/04 Primary

  with cross-current only · CPC title

• G05B13/048 Primary

  using a predictor · CPC title