초록 ▼

A CO controller is used in a boiler (e.g. those that are used in power generation), which has a theoretical maximum thermal efficiency when the combustion is exactly stoichiometric. The objective is to control excess oxygen (XSO2) so that the CO will be continually on the "knee" of the CO vs. XSO2 c

A CO controller is used in a boiler (e.g. those that are used in power generation), which has a theoretical maximum thermal efficiency when the combustion is exactly stoichiometric. The objective is to control excess oxygen (XSO2) so that the CO will be continually on the "knee" of the CO vs. XSO2 curve.

대표청구항 ▼

What is claimed is: 1. A method of controlling excess oxygen in a combustion process in a boiler, the method comprising: (a) having data comprising carbon monoxide concentration and excess oxygen measurements; (b) fitting a curve for said carbon monoxide concentration measurements versus said exces

What is claimed is: 1. A method of controlling excess oxygen in a combustion process in a boiler, the method comprising: (a) having data comprising carbon monoxide concentration and excess oxygen measurements; (b) fitting a curve for said carbon monoxide concentration measurements versus said excess oxygen measurements, wherein said fitting relies on one or more fit parameters, and wherein the values of said one or more fit parameters are found by said fitting; (c) determining an excess oxygen setpoint for said combustion process of said boiler based on said one or more fit parameters; and (d) adjusting said excess oxygen setpoint for said combustion process of said boiler to said determined excess oxygen setpoint, wherein said combustion process uses carbon based fuel. 2. The method of claim 1, wherein said excess oxygen and carbon monoxide concentration measurements are fitted in a moving window data store. 3. The method of claim 2 further comprising calculating a sensitivity to said one or more fit parameters of said fitted curve based on the moving window data store. 4. The method of claim 2, where the moving window data store records data for a time range between 5 and 60 minutes. 5. The method of claim 1, wherein the carbon based fuel is from a group consisting of coal, natural gas, oil, hog fuel, grass, and animal waste. 6. The method of claim 1, wherein a first derivative of said fitted curve is used to determine to said excess oxygen setpoint. 7. The method of claim 6, wherein said derivative is computed analytically. 8. The method of claim 6, wherein said derivative is computed numerically. 9. The method of claim 6, wherein said excess oxygen setpoint is determined based on an operator-selected target slope and said one or more fit parameters. 10. The method of claim 1, wherein said fitting said curve is accomplished in real time. 11. The method of claim 1, wherein said fitted curve is a power law curve of the form y=αxβ, wherein y is the carbon monoxide concentration, wherein x is the excess oxygen, and wherein α and β are said fit parameters. 12. The method of claim 11, further comprising calculating a derivative of said power law curve, wherein said excess oxygen setpoint is determined based on α, β, and an operator-selected target slope. 13. The method of claim 12, wherein γ is said operator-selected target slope, and wherein said determined excess oxygen setpoint is equal to (αβ/γ)1/(1-β). 14. The method of claim 11, further comprising calculating a sensitivity of said excess oxygen setpoint to said fit parameters of said power law curve. 15. The method of claim 14, wherein said sensitivity of said excess oxygen setpoint is equal to: [(α/β)1/(1-β)+{1/(1-β)}(α β/γ)β/(1-β)]δβ+[β/γ] 1/(1-β)δα. 16. The method of claim 1, further comprising plotting said carbon monoxide measurements versus said excess oxygen measurements. 17. The method of claim 16, further comprising plotting said fitted curve on said plot of said carbon monoxide measurements versus said excess oxygen measurements.