Diagnostics system for a chiller and method of evaluating performance of a chiller

Patent metadata

Field	Value
Publication number	US-11062062-B2
Application number	US-201515777028-A
Country	US
Kind code	B2
Filing date	Nov 19, 2015
Priority date	Nov 19, 2015
Publication date	Jul 13, 2021
Grant date	Jul 13, 2021

Abstract

A method of evaluating performance of a chiller is provided. The method includes detecting a plurality of operating parameters of the chiller with a plurality of sensors. The method also includes individually determining a first coefficient of performance degradation due to condenser fouling. The method further includes individually determining a second coefficient of performance degradation due to condenser water flow reduction. The method yet further includes individually determining a third coefficient of performance degradation due to evaporator fouling. The method also includes determining a total coefficient of performance degradation of the chiller with a summation of the first, second and third coefficient of performance degradations.

First claim

What is claimed is:

1. A method of evaluating performance of a chiller comprising:
operating the chiller, the chiller comprising a compressor unit, condenser unit, flow control metering device and an evaporator unit;
detecting a plurality of operating parameters of the chiller with a plurality of sensors;
individually determining a first term of coefficient of performance (COP) degradation due to condenser fouling;
individually determining a second term of COP degradation due to condenser water flow reduction;
individually determining a third term of COP degradation due to evaporator fouling;
determining a total COP degradation of the chiller with a summation of the first, second and third terms of COP degradations;
performing at least one of (i) completing installation of the chiller in response to the total COP degradation and (ii) initiating maintenance of the chiller in response to the total COP degradation;
wherein the first, second and third terms of COP degradations are determined with a first reduced order model, a second reduced order model and a third reduced order model, respectively, the first, second and third reduced order models determined with multiple regression analysis.

2. The method of claim 1 , wherein the plurality of operating parameters comprises a condenser saturation pressure, a condenser exit cooling water temperature, a compressor speed, a condenser water temperature difference, an evaporator temperature, and an evaporator water temperature difference.

3. The method of claim 1 , wherein the first reduced order model is based on a condenser saturation pressure and a condenser exit cooling water temperature.

4. The method of claim 3 , wherein the first reduced order model includes a plurality of constants, the plurality of constants determined during an installation of the chiller and updated during maintenance of the chiller.

5. The method of claim 1 , wherein the second reduced order model is based on a condenser water temperature difference and a compressor speed.

6. The method of claim 5 , wherein the second reduced order model includes a plurality of constants, the plurality of constants determined during an installation of the chiller and updated during maintenance of the chiller.

7. The method of claim 1 , wherein the third reduced order model is based on an evaporator temperature and a compressor speed.

8. The method of claim 7 , wherein the third reduced order model includes a plurality of constants, the plurality of constants determined during an installation of the chiller and updated during maintenance of the chiller.

9. The method of claim 1 , further comprising generating an alert if the total COP degradation exceeds a predetermined threshold for a predetermined amount of time.

10. The method of claim 9 , wherein a low level alert is generated if a first threshold is exceeded and a high level alert is generated if a second threshold is exceeded, the second threshold being greater than the first threshold.

Assignees

• Carrier Corp
• Poux Damien

Inventors

• Poux Damien
• Gorbounov Mikhail B
• Vogel Mark
• Yuan Shui
• Reeve Hayden M

Classifications

• G05B23/0254 Primary

  based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks · CPC title

• F25B2500/04

  Clogging · CPC title

• G06F2111/10

  Numerical modelling · CPC title

• F25B2500/19

  Calculation of parameters · CPC title

• G06F30/20 Primary

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