CN113064346A - Intelligent optimization control method for wet desulphurization oxidation fan system - Google Patents
Intelligent optimization control method for wet desulphurization oxidation fan system Download PDFInfo
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- CN113064346A CN113064346A CN202110149747.3A CN202110149747A CN113064346A CN 113064346 A CN113064346 A CN 113064346A CN 202110149747 A CN202110149747 A CN 202110149747A CN 113064346 A CN113064346 A CN 113064346A
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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
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Abstract
The invention relates to the technical field of wet desulphurization, in particular to an intelligent optimization control method for a wet desulphurization oxidation fan system, which comprises SO2A flow calculation model, an air quantity setting model and an oxidation fan surge threshold value model, the SO2The flow calculation model has the expression: qs=f(Qsmoke) In the formula, QsIs SO2Content, QsmokeThe content of sulfur dioxide in the raw desulfurization flue gas is multiplied by the flow of the raw desulfurization flue gas to obtain sulfur dioxide in the raw desulfurization flue gas, the sulfur dioxide in the raw desulfurization flue gas is weighted and averaged to make the numerical curve more linear, and the logarithm of the total coal amount is introduced to correct to obtain the sulfur dioxide Q in the raw desulfurization flue gass. The intelligent optimization control method for the wet desulphurization oxidation fan system has the advantages that the energy is saved, the consumption is reduced, after the system is modified, the air volume of the oxidation fan is reduced by 2600.101Nm3/h through experiments, the current of the oxidation fan can be reduced by 6.70A, the running time of the unit is calculated according to 7000 hours every year, the annual average load rate is below 50%, and the annual average load rate is 80% of 7000 hours% of the total energy is saved by about 31.2 ten thousand for one 6kV motor per year.
Description
Technical Field
The invention relates to the technical field of wet desulphurization, in particular to an intelligent optimization control method for a wet desulphurization oxidation fan system.
Background
The air quantity of the centrifugal oxidation fan system cannot be automatically adjusted according to the working condition, and the energy waste is serious under the condition of large production load fluctuation.
When the oxidation fan surging, the inlet adjusting baffle and the emptying baffle can not respond quickly and effectively, the surging phenomenon can not be controlled to cause the fan to trip, and frequent abnormal shutdown can seriously affect the service life of the equipment.
Disclosure of Invention
The invention provides an intelligent optimization control method for a wet desulphurization oxidation fan system, which aims to solve the problems in the prior art.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
according to the embodiment of the invention, the intelligent optimization control method for the wet desulphurization oxidation fan system comprises SO2A flow calculation model, a fan optimization control system, an air volume setting model and an oxidation fan surge threshold value model, wherein the SO2The flow calculation model has the expression:
Qs=f(Qsmoke)
in the formula, QsIs SO2Content, QsmokeThe content of sulfur dioxide in the raw desulfurization flue gas is multiplied by the flow of the raw desulfurization flue gas to obtain sulfur dioxide in the raw desulfurization flue gas, the sulfur dioxide in the raw desulfurization flue gas is weighted and averaged to make the numerical curve more linear, and the logarithm of the total coal amount is introduced to correct to obtain the sulfur dioxide Q in the raw desulfurization flue gass;
The expression of the air volume setting model is as follows:
Qairsetup=Qs÷α
in the formula, QairsetupSet value of air quantity, QsAccording to the process design principle of the absorption tower, the sulfur dioxide in the raw desulfurization flue gas is in direct proportion to the required oxygen content, and the proportional coefficient alpha is 501000 through theoretical calculation and actual adjustment;
the expression of the oxidation fan surge threshold value model is as follows:
Pthreshold=0.002833×Fthreshold+77
in the formula, FthresholdFor fan flow, TairIs the wind temperature, Δ P is the flow pressure difference, PthresholdIs the surge threshold.
Further, the fan optimization control system adopts a PI mode, automatically controls the air speed by adjusting the opening of the inlet baffle, and calculates a surge threshold value P by using an oxidation fan surge threshold value modelthresholdPerforming anti-surge treatment, and determining an expression of an upper limit of surge wind speed as follows:
Fup=(α×Pthreshold-77)÷0.002833
α=0.93
in the formula, FupThe pressure upper limit is alpha, the pressure threshold coefficient is alpha, the experimental value is 0.93, and the human-computer interaction can be modified according to the operation condition of the equipment.
Further, in the oxidation fan surge threshold model, when the wind speed is higher than the upper limit, the opening degree of a diffusion valve is adjusted;
when the valve position is between 0 and 25%: setting the valve position to be 25%;
when the valve position is 25-50%: setting the valve position to be 50%;
when the valve position is 50-75%: setting the valve position to 75%;
when the valve position is 75-100%: the valve position is set to 100%.
The invention has the following advantages:
(1) the energy is saved, the consumption is reduced, after the improvement, the experiment shows that the air volume of the oxidation fan is reduced by 2600.101Nm3/h, the current of the oxidation fan can be reduced by 6.70A, the running time of the unit per year is calculated according to 7000 hours, the annual average load rate is below 50%, and the electricity of a 6kV motor is saved by about 31.2 ten thousand degrees per year under the condition that 80% of 7000 hours is adopted.
(2) Reduce the improper number of times that opens and stop of oxidation fan, increase of service life, rated current's 4 to 6 times during motor starting current, too big starting current can make the coil winding of motor overheated, influences life, avoids the improper start-stop of oxidation fan through optimizing the regulation, is favorable to prolonging oxidation fan life.
(3) And when the oxidation fan pipeline is slightly blocked, the air quantity is reduced through regulation, and the surge phenomenon is relieved, so that the oxidation fan system continues to operate.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the present specification, the terms "upper", "lower", "left", "right", "middle", and the like are used for clarity of description, and are not intended to limit the scope of the present invention, and changes or modifications in the relative relationship may be made without substantial changes in the technical content.
The invention provides a technical scheme that:
an intelligent optimization control method for a wet desulphurization oxidation fan system comprises SO2A flow calculation model, a fan optimization control system, an air volume setting model and an oxidation fan surge threshold value model, wherein the SO2The flow calculation model has the expression:
Qs=f(Qsmoke)
in the formula, QsIs SO2Content, QsmokeThe content of sulfur dioxide in the raw desulfurization flue gas is multiplied by the flow rate of the raw desulfurization flue gas to obtain the amount of the flue gasSulfur dioxide in raw sulfur gas, and the sulfur dioxide in raw sulfur gas is weighted and averaged to make the numerical curve more linear, and the logarithm of the total coal amount is introduced to correct to obtain the sulfur dioxide Q in raw sulfur gass;
The expression of the air volume setting model is as follows:
Qairsetup=Qs÷α
in the formula, QairsetupSet value of air quantity, QsAccording to the process design principle of the absorption tower, the sulfur dioxide in the raw desulfurization flue gas is in direct proportion to the required oxygen content, and the proportional coefficient alpha is 501000 through theoretical calculation and actual adjustment;
the expression of the oxidation fan surge threshold value model is as follows:
Pthreshold=0.002833×Fthreshold+77
in the formula, FthresholdFor fan flow, TairIs the wind temperature, Δ P is the flow pressure difference, PthresholdIs the surge threshold.
In the invention, the fan optimization control system adopts a PI mode, automatically controls the air speed by adjusting the opening of the inlet baffle, and calculates the surge threshold value P by using an oxidation fan surge threshold value modelthresholdPerforming anti-surge treatment, and determining an expression of an upper limit of surge wind speed as follows:
Fup=(α×Pthreshold-77)÷0.002833
α=0.93
in the formula, FupThe pressure upper limit is alpha, the pressure threshold coefficient is alpha, the experimental value is 0.93, and the human-computer interaction can be modified according to the operation condition of the equipment.
In the invention, in the oxidation fan surge threshold value model, when the wind speed is higher than the upper limit, the opening degree of a diffusion valve is adjusted;
when the valve position is between 0 and 25%: setting the valve position to be 25%;
when the valve position is 25-50%: setting the valve position to be 50%;
when the valve position is 50-75%: setting the valve position to 75%;
when the valve position is 75-100%: the valve position is set to 100%.
The surge test of the anti-oxidation extension machine is carried out, when the blower is oxidized to surge, equipment acts, because the actual simulation difficulty of the surge test of the oxidation blower is higher, the actual simulation can only be realized by forced measuring points in a logic diagram, the experiment verifies that the action of the inlet adjusting baffle and the discharge valve accords with the design forecast, the experiment result accords with the expected effect, and the effect of protecting the blower can be played.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (3)
1. An intelligent optimization control method for a wet desulphurization oxidation fan system comprises SO2The system comprises a flow calculation model, a fan optimization control system, an air volume setting model and an oxidation fan surge threshold value model, and is characterized in that: the SO2The flow calculation model has the expression:
Qs=f(Qsmoke)
in the formula, QsIs SO2Content, QsmokeThe content of sulfur dioxide in the raw desulfurization flue gas is multiplied by the flow of the raw desulfurization flue gas to obtain sulfur dioxide in the raw desulfurization flue gas, the sulfur dioxide in the raw desulfurization flue gas is weighted and averaged to make the numerical curve more linear, and the logarithm of the total coal amount is introduced to correct to obtain the sulfur dioxide Q in the raw desulfurization flue gass;
The expression of the air volume setting model is as follows:
Qairsetup=Qs÷α
in the formula, QairsetupSet value of air quantity, QsIs the amount of sulfur dioxide, alpha is the ratioAccording to the process design principle of the absorption tower, the sulfur dioxide in the raw desulfurization flue gas is in direct proportion to the required oxygen, and the proportionality coefficient alpha is 501000 through theoretical calculation and actual adjustment;
the expression of the oxidation fan surge threshold value model is as follows:
Pthreshold=0.002833×Fthreshold+77
in the formula, FthresholdFor fan flow, TairIs the wind temperature, Δ P is the flow pressure difference, PthresholdIs the surge threshold.
2. The intelligent optimization control method for the wet desulphurization oxidation fan system according to claim 1, characterized in that: the fan optimization control system adopts a PI mode, automatically controls the air speed by adjusting the opening of an inlet baffle, and calculates a surge threshold value P by using an oxidation fan surge threshold value modelthresholdPerforming anti-surge treatment, and determining an expression of an upper limit of surge wind speed as follows:
Fup=(α×Pthreshold-77)÷0.002833
α=0.93
in the formula, FupThe pressure upper limit is alpha, the pressure threshold coefficient is alpha, the experimental value is 0.93, and the human-computer interaction can be modified according to the operation condition of the equipment.
3. The intelligent optimization control method for the wet desulphurization oxidation fan system according to claim 1, characterized in that: in the oxidation fan surge threshold value model, when the wind speed is higher than the upper limit, the opening degree of a diffusion valve is adjusted;
when the valve position is between 0 and 25%: setting the valve position to be 25%;
when the valve position is 25-50%: setting the valve position to be 50%;
when the valve position is 50-75%: setting the valve position to 75%;
when the valve position is 75-100%: the valve position is set to 100%.
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Cited By (1)
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CN117725446A (en) * | 2024-02-07 | 2024-03-19 | 南昌大学 | SOFC (solid oxide fuel cell) stack performance decay prediction method and system based on GA-BP (GAs-liquid-phase reactor) |
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