CN113064346B - Intelligent optimization control method for wet desulfurization oxidation fan system - Google Patents
Intelligent optimization control method for wet desulfurization oxidation fan system Download PDFInfo
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- CN113064346B CN113064346B CN202110149747.3A CN202110149747A CN113064346B CN 113064346 B CN113064346 B CN 113064346B CN 202110149747 A CN202110149747 A CN 202110149747A CN 113064346 B CN113064346 B CN 113064346B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating
Abstract
The invention relates to the technical field of wet desulfurization, in particular to an intelligent optimization control method of a wet desulfurization oxidation fan system, which comprises the following steps of SO 2 Flow calculation model, air quantity setting model and oxidation fan surge threshold model, wherein SO 2 The expression of the flow calculation model is: q (Q) s ＝f(Q smoke ) In which Q s For sulfur dioxide content, Q smoke And multiplying the content of the sulfur dioxide in the desulfurized raw flue gas by the flow of the desulfurized raw flue gas to obtain the sulfur dioxide in the desulfurized raw flue gas, and carrying out weighted average treatment on the sulfur dioxide in the desulfurized raw flue gas to make the numerical curve more linear, and introducing the total coal quantity to correct the numerical value to obtain the sulfur dioxide in the desulfurized raw flue gas. According to the intelligent optimization control method for the wet desulfurization oxidation fan system, energy is saved, consumption is reduced, after modification, experiments show that the air quantity of the oxidation fan is reduced by 2600.101Nm < 3 >/h, the current of the oxidation fan can be reduced by 6.70A, the annual unit operation time is calculated according to 7000 hours, the annual average load rate is less than 50%, and electricity is saved by about 31.2 ten thousand degrees per year for one 6kV motor under the condition of 80% of 7000 hours.
Description
Technical Field
The invention relates to the technical field of wet desulfurization, in particular to an intelligent optimization control method of a wet desulfurization oxidation fan system.
Background
The air quantity of the centrifugal oxidation fan system cannot be automatically adjusted according to working conditions, and the energy waste is serious under the condition of large fluctuation of production load.
When the oxidation fan is in surge, the inlet adjusting baffle and the emptying baffle cannot respond quickly and effectively, the surge phenomenon cannot be controlled to cause tripping of the fan, and the service life of equipment is seriously influenced by frequent abnormal shutdown.
Disclosure of Invention
The invention provides an intelligent optimization control method of a wet desulfurization oxidation fan system, which aims to solve the problems existing in the prior art.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
according to the embodiment of the invention, an intelligent optimization control method for a wet desulfurization oxidation fan system comprises the following steps of SO 2 Flow calculation model, fan optimization control system, air quantity setting model and oxidation fan surge threshold model, wherein SO 2 The expression of the flow calculation model is:
Q s ＝f(Q smoke )
in which Q s For sulfur dioxide content, Q smoke Multiplying the sulfur dioxide content of the desulfurized raw flue gas by the flow of the desulfurized raw flue gas to obtain the sulfur dioxide of the desulfurized raw flue gas, carrying out weighted average treatment on the sulfur dioxide of the desulfurized raw flue gas, and introducing the total coal quantity to correct the numerical value to obtain the sulfur dioxide of the desulfurized raw flue gas;
the expression of the air quantity setting model is as follows:
Q airsetup ＝Q s ÷α
in which Q airsetup Is the air quantity set value, Q s For sulfur dioxide content, alpha is a proportionality coefficient, according to the process design principle of the absorption tower, sulfur dioxide in the desulfurized raw flue gas is in direct proportion to the required oxygen demand, and the proportionality coefficient alpha= 501000 is calculated theoretically and adjusted actually;
the expression of the surging threshold model of the oxidation fan is as follows:
P threshold ＝0.002833×F threshold +77
wherein F is threshold Is the flow of a fan, T air The wind temperature, Δp is the flow pressure difference, P threshold Is the surge threshold.
Further, the fan optimization control system adopts a PI mode, automatically controls the wind speed by adjusting the opening of the inlet baffle, and calculates the surge threshold P by using an oxidation fan surge threshold model threshold Performing anti-surge treatment to determine surge wind speedThe expression of the upper limit is:
F up ＝(α×P threshold -77)÷0.002833
α＝0.93
wherein F is up And alpha is a pressure threshold coefficient, the experimental value is 0.93, and the human-computer interaction can be modified according to the running condition of the equipment.
Further, in the oxidation fan surge threshold model, when the wind speed is higher than the upper limit, the opening of a bleeding valve is adjusted;
when the valve position is between 0 and 25 percent: set valve position = 25%;
when the valve position is 25-50%: set valve position = 50%;
when the valve position is 50-75%: valve position = 75% set;
when the valve position is 75-100%: valve position=100% is set.
The invention has the following advantages:
(1) After energy conservation and consumption reduction are realized, experiments show that the air quantity of the oxidation fan is reduced by 2600.101Nm3/h, the current of the oxidation fan is reduced by 6.70A, the annual unit operation time is calculated according to 7000 hours, the annual average load rate is less than 50%, and the annual power saving of one 6kV motor is about 31.2 ten thousand degrees under the condition of 80% of 7000 hours.
(2) The abnormal start-stop times of the oxidation fan are reduced, the service life is prolonged, the rated current of the motor is 4 to 6 times that of the rated current of the motor, the coil winding of the motor is overheated due to the overlarge start-up current, the service life is influenced, the abnormal start-stop of the oxidation fan is avoided through optimal adjustment, and the service life of the oxidation fan is prolonged.
(3) The potential of equipment is excavated, when the pipeline of the oxidation fan is slightly blocked, the surge phenomenon is relieved by adjusting and reducing the air quantity, so that the oxidation fan system can continue to operate.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the scope of the invention.
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms such as "upper", "lower", "left", "right", "middle" and the like are also used in the present specification for convenience of description, but are not intended to limit the scope of the present invention, and the changes or modifications of the relative relationship thereof are considered to be within the scope of the present invention without substantial modification of the technical content.
The invention provides a technical scheme that:
an intelligent optimization control method for a wet desulfurization oxidation fan system comprises the following steps of SO 2 Flow calculation model, fan optimization control system, air quantity setting model and oxidation fan surge threshold model, wherein SO 2 The expression of the flow calculation model is:
Q s ＝f(Q smoke )
in which Q s For sulfur dioxide content, Q smoke Multiplying the sulfur dioxide content of the desulfurized raw flue gas by the flow of the desulfurized raw flue gas to obtain the sulfur dioxide of the desulfurized raw flue gas, and carrying out weighted average treatment on the sulfur dioxide of the desulfurized raw flue gas to make the numerical curve more linear, and introducing the total coal quantity to correct the numerical value to obtain the sulfur dioxide of the desulfurized raw flue gas;
the expression of the air quantity setting model is as follows:
Q airsetup ＝Q s ÷α
in which Q airsetup Is the air quantity set value, Q s For sulfur dioxide content, alpha is a proportionality coefficient, according to the process design principle of the absorption tower, sulfur dioxide in the desulfurized raw flue gas is in direct proportion to the required oxygen demand, and the proportionality coefficient alpha= 501000 is calculated theoretically and adjusted actually;
the expression of the surging threshold model of the oxidation fan is as follows:
P threshold ＝0.002833×F threshold +77
wherein F is threshold Is the flow of a fan, T air The wind temperature, Δp is the flow pressure difference, P threshold Is the surge threshold.
In the invention, the fan optimization control system adopts a PI mode, automatically controls the wind speed by adjusting the opening of the inlet baffle, and calculates the surge threshold P by using an oxidation fan surge threshold model threshold Performing anti-surge treatment, wherein the expression for determining the upper limit of the surge wind speed is as follows:
F up ＝(α×P threshold -77)÷0.002833
α＝0.93
wherein F is up And alpha is a pressure threshold coefficient, the experimental value is 0.93, and the human-computer interaction can be modified according to the running condition of the equipment.
In the invention, in the surging threshold model of the oxidation fan, when the wind speed is higher than the upper limit, the opening of a bleeding valve is adjusted;
when the valve position is between 0 and 25 percent: set valve position = 25%;
when the valve position is 25-50%: set valve position = 50%;
when the valve position is 50-75%: valve position = 75% set;
when the valve position is 75-100%: valve position=100% is set.
According to the anti-oxidation extension surge test, when an oxidation fan surges, equipment acts, and because the real simulation difficulty of the oxidation fan surge test is high, the anti-oxidation extension surge test can only be realized through forced measuring points in a logic diagram, and through experimental verification, the actions of an inlet adjusting baffle and a discharge valve accord with design expectations, and experimental results accord with expected effects, so that the effect of protecting the fan can be achieved.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (3)
1. An intelligent optimization control method for a wet desulfurization oxidation fan system comprises the following steps of SO 2 Flow calculation model, fan optimal control system, amount of wind set up model and oxidation fan surge threshold model, its characterized in that: the SO 2 The expression of the flow calculation model is:
Q s ＝f(Q smoke )
in which Q s For sulfur dioxide content, Q smoke Multiplying the sulfur dioxide content of the desulfurized raw flue gas by the flow of the desulfurized raw flue gas to obtain the sulfur dioxide of the desulfurized raw flue gas, carrying out weighted average treatment on the sulfur dioxide of the desulfurized raw flue gas, and introducing the total coal quantity to correct the numerical value to obtain the sulfur dioxide of the desulfurized raw flue gas;
the expression of the air quantity setting model is as follows:
Q airsetup ＝Q s ÷α
in which Q airsetup Is the air quantity set value, Q s For sulfur dioxide content, alpha is a proportionality coefficient, according to the process design principle of the absorption tower, sulfur dioxide in the desulfurized raw flue gas is in direct proportion to the required oxygen demand, and the proportionality coefficient alpha= 501000 is calculated theoretically and adjusted actually;
the expression of the surging threshold model of the oxidation fan is as follows:
P threshold ＝0.002833×F threshold +77
wherein F is threshold Is the flow of a fan, T air The wind temperature, Δp is the flow pressure difference, P threshold Is the surge threshold.
2. The intelligent optimization control method of the wet desulfurization oxidation fan system according to claim 1, which is characterized by comprising the following steps: the fan optimization control system adopts a PI mode, automatically controls wind speed by adjusting the opening of an inlet baffle, and calculates a surge threshold P by using an oxidation fan surge threshold model threshold Performing anti-surge treatment, wherein the expression for determining the upper limit of the surge wind speed is as follows:
F up ＝(α×P threshold -77)÷0.002833
α＝0.93
wherein F is up And alpha is a pressure threshold coefficient and is subjected to man-machine interaction modification according to the running condition of the equipment.
3. The intelligent optimization control method of the wet desulfurization oxidation fan system according to claim 1, which is characterized by comprising the following steps: in the oxidation fan surge threshold model, when the wind speed is higher than the upper limit, the opening of a bleeding valve is adjusted;
when the valve position is between 0 and 25 percent: set valve position = 25%;
when the valve position is 25-50%: set valve position = 50%;
when the valve position is 50-75%: valve position = 75% set;
when the valve position is 75-100%: valve position=100% is set.
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