CN101598688B - Boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality - Google Patents

Boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality Download PDF

Info

Publication number
CN101598688B
CN101598688B CN2009100332364A CN200910033236A CN101598688B CN 101598688 B CN101598688 B CN 101598688B CN 2009100332364 A CN2009100332364 A CN 2009100332364A CN 200910033236 A CN200910033236 A CN 200910033236A CN 101598688 B CN101598688 B CN 101598688B
Authority
CN
China
Prior art keywords
boiler
ash
coal
heating
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN2009100332364A
Other languages
Chinese (zh)
Other versions
CN101598688A (en
Inventor
向文国
王新
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southeast University
Original Assignee
Southeast University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Southeast University filed Critical Southeast University
Priority to CN2009100332364A priority Critical patent/CN101598688B/en
Publication of CN101598688A publication Critical patent/CN101598688A/en
Application granted granted Critical
Publication of CN101598688B publication Critical patent/CN101598688B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The invention discloses boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality. Responding to weak points and deficiencies of the existing soot blowing optimization method based on off-line measurement of the coal analysis data and based on boiler integral and partial energy and mass balance theory, a coal quality on-line analyzer analyzes the quality of the coal in the boiler on line, on-line monitoring, analysis and calculation are carried out on soot formation scorification and boiler furnace outlet gas temperature of the convection heating surface by the adverse flue gas process; in addition, real-time computation and analysis of the operation condition and pollution level of the heating surface of the boiler are carried out, thus eliminating adverse effect of quality change of coal in a pulverized coal fired boiler on soot blowing optimization guidance, providing correct soot blowing guidance and boiler performance optimization data for the operation of the pulverized coal fired boiler used in power plants, lowering boiler coal consumption and finally improving safety and economical efficiency of the boiler operation.

Description

Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement
Technical field
The present invention is a kind of at pulverized coal power boiler convection heating surface ash fouling monitoring and soot blowing and optimal method, particularly a kind of based on boiler integral body and local energy and mass balance principle, go into the stove ature of coal by online detection, contrary flue gas flow carries out on-line monitoring and analytical calculation to dust stratification slagging scorification, the boiler furnace outlet flue-gas temperature of each main convection heating surface, calculate and analyze the running status and the pollution level of the heating surface of boiler in real time, realize the quantification and the visual power-economizing method of heating surface pollution level, belong to thermal power engineering and energy saving optimizing field.
Background technology
Domestic station boiler is based on fire coal, and the steam coal quality is bad partially, and dust burdening and sulfur content etc. are all higher, form contamination, dust stratification, corrosion and the wearing and tearing of heating surface easily.The dust stratification slagging scorification of boiler heating surface increases heat transfer resistance, actual measurement in the boiler operatiopn shows, when burner hearth dust stratification thickness increases to 2 millimeters by 1 millimeter, heat transfer efficiency reduces 28%, for satisfying the requirement of load, to increase fuel quantity with the increase heat absorption toward contact, thereby increase the coal consumption of unit, cause economy to descend.Boiler heating surface dust stratification and slagging scorification also can promote the corrosion of heating surface, reduce heating surface serviceable life, when serious even lead to major accident such as booster shutdown.
Slight slagging scorification and dust stratification such as untimely processing then may continue development, worsen.No matter slagging scorification and dust stratification are at burner hearth or convection heating surface, all will produce adverse influence to boiler, are effective solution and blow ash.Soot blower is to utilize certain grey medium (water, steam, sound wave, combustion gas etc.) cleaning heating surface that blows, and removes the dirt on heating surface surface, makes its surface recovery clean conditions.
Yet, aspect the formulation of blowing grey scheme, mostly power plant is the requirement in the design instruction that is provided according to the boiler manufacturer or works out according to the operating experience of other power plant's similar devices that put into operation, and in fact these ways may have blindness, and human factor has played sizable effect.This might cause, and the serious heating surface of dust stratification can not get timely purging in the boiler, also might cause the slight heating surface of dust stratification frequently to purge, and causes the boiler booster easily.Therefore, press on the basis of the real-time Monitoring Data of unit, the operation instruction that the ash operation provides direct-on-line that blows for unit carries out reliable on-line analysis to the security and the economy of unit operation, improves the safety and economy of unit.
Abroad early to the starting of boiler soot-blowing Study on optimized, the Soot-blower Advisor expert system that New York electric power gas company and general physics company develop jointly, crucial parameter measurement value in use boiler and the steam turbine circulation is determined the cleaning factor of boiler different parts, helps the operations staff to determine to blow the ash strategy.The SR4 of Germany is the unit efficiency analysis optimization module among the Sienergy of operation optimum management system, heating surface to zones of different in the boiler carries out heat transfer efficiency calculating, change according to parameters such as spray water flux, exhaust gas temperatures, by calculating to instruct soot blower to carry out the zonal ash that irregularly blows.The Optimax of Switzerland ABB AB is online power plant efficiency software for calculation bag, and its boiler cleaning module can be in the cleanliness of line computation heat-transfer surface and the smoke inlet temperature of each heat-transfer surface, and the result is used to optimize the working procedure of boiler sootblower.The Smart ProcessTM of Westinghouse Electric uses the neural network instrument to determine to blow grey frequency and position, to realize the loss of the minimum thermal efficiency and process, and the life-span of prolongation unit equipment, utilize neural network to calculate the actual heat transfer capacity in each soot blower zone of boiler, information is obtained cleanliness factor and is made comparisons with ideal value in view of the above, grey guiding opinion is blown in formation, and the result of optimization can incorporate existing DCS into and form closed-loop control, also can supply operations staff's reference.But the introduction expense of these systems is higher, implements also comparatively difficulty on the unit at home simultaneously.
Domestic also have some R﹠D institutions and enterprise to develop the soot blowing and optimal system, but existing soot blowing and optimal system is based on the measurement of coal analysis off-line data mostly, and China's power plant soot ature of coal is changeable, often big off-design value, existing soot blowing and optimal system often can not change real-time update system coal analysis data according to going into the stove ature of coal, cause system-computed data and boiler unit actual conditions to have, had a strong impact on and blown the correctness that ash instructs than large deviation.Simultaneously, constantly perfect along with fuel-burning power plant computer control and data management system requires the soot blowing and optimal system to carry out remote access by webpage, becomes the part of plant level supervisory information system (SIS system).
Therefore develop the Boiler Ash fouling monitoring and the soot blowing and optimal system of a cover based on the ature of coal on-line measurement, and storage, long-range demonstration and the inquiry of realization system data, production efficiency and the economic benefit that improves enterprise there is significance, is fit to the needs of enterprise's future development.
Summary of the invention
Technical matters: at the shortcoming and defect of existing soot blowing and optimal method, in order to realize the grey fouling monitoring and the soot blowing and optimal of pulverized coal power boiler convection heating surface, the present invention proposes a kind of Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement, eliminated pulverized coal firing boiler and gone into the harmful effect of stove ature of coal variation the soot blowing and optimal system, ash instructs and boiler performance is optimized data for the pulverized coal power boiler operation provides correct blowing, thereby reduced boiler coal consumption, finally improved the economy of boiler.
Technical scheme: Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement of the present invention are to realize by following technical scheme:
This method comprises as lower module: measuring point data acquisition module, computing module, real-time historical data transit module, data disaply moudle; The required measuring point of this method and original measuring point data that computing module is gathered according to the measuring point module, contrary flue gas flow carries out heating power to each convection heating surface and calculates, obtain the grey dirty factor and the dirty factor of critical ash of each convection heating surface, provide and blow the ash guidance, and send result of calculation to real-time historical data transit module, the historical data transit module shows by data disaply moudle real-time result of calculation on picture in real time, and historical data is sent in the database; The measuring point data acquisition module by the newly-increased primary instrument of boiler, coal analysis instrument and newly-increased DAS system, is gathered measuring point data, and these data is sent into the real-time history data store device of boiler.
The measuring point data acquisition module adopts the real-time analysis of ature of coal in-line analyzer to go into the elementary composition and the calorific value of stove fire coal, and analysis result is sent into the real-time history data store device of boiler.
Computing module comprises the steps:
Step 1: the structural parameters such as tube side, caliber, flue gas circulation area and heat exchange area that boiler body, convection recuperator are set;
Step 2: the interface function that provides by the real-time history data store device of boiler manufacturer, from boiler data storage device acquisition system desired data;
Step 3: the data of being gathered from the boiler data storage device are carried out data check, have only when all measuring point datas all at limited range, just enter the computing module master routine and calculate, otherwise, withdraw from computing module and send the data alerting signal of makeing mistakes to picture;
Step 4: calculate the flue gas physical property, the data that provide according to coal analysis instrument, when calculating 1 kilogram of fired coal combustion:
I) theoretical air volume, its formula is:
V 0=0.0889(C ar+0.375S ar)+0.265H ar-0.0333O ar
J) theoretical water steam volume, its formula is:
V H 2 O 0 = 0.0124 W ar + 0.111 H ar + 0.0161 V 0 ;
K) theoretical nitrogen volume, its formula is: V N 2 0 = 0.8 N ar 100 + 0 . 79 V 0 ;
L) theoretical three atomic gas volumes, its formula is: V R O 2 0 = 1.866 C ar 100 + 0.7 S ar 100 ;
M) actual water vapor volume, its formula is: V H 2 O = V H 2 O 0 + 0.0161 ( α - 1 ) V 0 ;
N) actual flue gas volume, its formula is: V y = V RO 2 0 + V N 2 0 + V H 2 O + ( α - 1 ) V 0 ;
O) air enthalpy can calculate by function C oldAirEnth, the ColdAirEnth function with gas or the ash temperature be the function input parameter, with gas or the ash enthalpy be the function output parameter, match 0 to 2000 ℃ air and O 2, CO 2, H 2O, N 2Deng the mean specific heat of gas and the enthalpy of 1 kilogram of ash;
P) flue gas enthalpy can be according to O 2, CO 2, H 2O, N 2Volume composition and flue-gas temperature Deng gas utilize function C oldAirEnth to calculate;
Wherein, C Ar, H Ar, O Ar, N Ar, S ArBe the as received basis composition of coal-fired ultimate analysis, %; W ArBe coal-fired ultimate analysis as received basis moisture content, %; α is an excess air coefficient, can pass through formula α = 21 21 - O 2 Obtain O in the formula 2Be oxygen level in the flue gas; V 0Be theoretical air volume, Nm 3/ kg; Be theoretical water steam volume, Nm 3/ kg; Be theoretical nitrogen volume, Nm 3/ kg; Be theoretical three atomic gas volumes, Nm 3/ kg; Be actual water vapor volume, Nm 3/ kg; V yBe actual flue gas volume, Nm 3/ kg;
Step 5: calculate boiler coal consumption, with the thermal efficiency and the coal-fired consumption of counter balancing method calculating boiler unit,
I) heat loss due to combustibles in refuse q 4 = 7850 A ar Q r ( α fh C fh 100 - C fh + α lz C lz 100 - C lz ) ;
J) heat loss due to unburned gas is for coal-powder boiler, optional q 3=0;
K) heat loss due to exhaust gas q 2 = I py - α py I lk 0 Q r × ( 100 - q 4 ) ;
L) radiation loss q 5 = q 5 e D e D ;
M) heat loss due to sensible heat in slag q 6 = A ar α lz ( cθ ) lz Q r ;
N) boiler efficiency η=1-q 2-q 3-q 4-q 5-q 6
O) the total heat of effectively utilizing of boiler
Q=D gq(i″ gq-i gs)+D zq(i″ zq-i′ zq)+D bq(i bq-i gs)+D pw(i pw-i gs);
P) calculate coal-fired consumption B j = Q η Q r ;
A wherein ArBe coal-fired ultimate analysis as received basis ash, %; Q rBe that 1 kilogram of fire coal is gone into stove heat, kJ/kg; C Fh, C LzBe the content percentage of carbon residue in flying dust and the slag, %; α FhBe the grey share that accounts for fuel ash in the flying dust, %; α LzFor the ash in the slag accounts for the share of ash content in the fuel, %; I PyBe smoke evacuation enthalpy, kJ/kg; I Lk 0Be theoretical cold air enthalpy, kJ/kg; α PyBe the excess air coefficient behind the air preheater; q 5 eBe radiation loss under the boiler rating, %; D eBe rated capacity, kg/h; D is the boiler actual evaporation, kg/h; Be the product of slag specific heat and its temperature, promptly 1 kilogram of ash is in temperature The time enthalpy, kJ/kg; D GqBe superheat steam flow, kg/h; D ZqBe reheated steam flow, kg/h; D BqUse saturated vapour flow, kg/h for taking out; D PwBe water amount of blowdown, kg/h; I " GqBe superheated vapor outlet enthalpy, kJ/kg; I " Zq, i ' ZqBe reheated steam outlet and inlet enthalpy, kJ/kg; i BqBe the enthalpy of saturated vapour, kJ/kg; i PwBe sewer enthalpy, kJ/kg; i GsBe boiler feed water enthalpy, kJ/kg;
Step 6: calculate the dirty factor of air preheater ash, import and export the index η that flue gas pressure reduction calculates the dirty degree of air preheater heating surface ash according to the air preheater heating surface Sj:
c) η sj = 2 ΔP ( wF ) 2 ρ = 273 ΔP · 2 g ( 3600 B j ) 2 V y G y ( T + 273 ) = C ΔP B j 2 V y G y ( T + 273 ) ;
D) the grey dirty factor FF of calculating air preheater Ky:
FF ky = η lx - η sj η lx
Wherein, Δ P is the pressure drop of this section heating surface, N/m 2B jFor calculating Coal-fired capacity, kg/h; G yBe 1 kilogram of coal combustion gained flue gas quality, its formula is: G y=1-A Ar/ 100+1.036 α V 0, kg/kg; V yBe 1 kilogram of coal combustion gained flue gas volume, m 3/ kg; ρ is a smoke density, kg/m 3W is a flue gas flow rate, m/s; F is the flue sectional area, m 2C is a constant coefficient; η SjBe the actual computation value; η LxBe numerical value ideally; FF KyThe grey dirty factor for air preheater;
Step 7: calculate the dirty factor FF of convection heating surface ash Dl,
d) FF dl = K lx - K sj K lx ;
e)Q sj=D(i″-i′+Δi jw)/B j
f) K sj = Q sj A · Δt ;
More than various in: i ', i " be the steam enthalpy of heating surface import and outlet, kJ/kg; Δ i JwBe desuperheating water enthalpy, kJ/kg; A is the heating surface heat transfer area, m 2, Δ t is a heat transfer temperature difference, K; FF DlIt is the dirty factor of convection heating surface ash; K LxBe the desirable heat transfer coefficient of air preheater, kJ/ (m 2K); K SjThe actual heat transfer coefficient of air preheater heating surface, kJ/ (m 2K);
Step 8: calculate the dirty factor of furnace wall cooling ash
D) calculate furnace outlet gas temperature
E) burner hearth evenly heat coefficient of efficiency
F) the dirty factor of furnace wall cooling ash
ζ pj = ψ pj x pj ;
Wherein, T aBe theoretical temperature combustion, K; M represents the constant of flame central position for considering the coefficient of flame central position; σ 0Be Boltzmann constant, 5.67 * 10 -8, W/ (m 2K 4); a lThe burner hearth blackness is the imaginary blackness of the effective radiation of an expression flame; F LtThe burner hearth area, m 2 Protect hot coefficient; B jComputing fuel level, kg/h; VC PjFlue gas arrives θ at 0 ℃ " LtBetween mean heat capacity, kJ/ (kg ℃); x PjBe the angle factor of water screen tube, relevant with the structural arrangement of water-cooling wall;
Step 9: calculate the dirty factor of critical ash, the calculating energy net proceeds
Q net = Q in - Q out = Q f _ n - Q f _ 0 - Q out
= F ( n ∫ τ 0 τ 0 + Δτ / n ( 1 - f ( τ ) ) K lx ΔTdτ - ∫ τ 0 τ 0 + Δτ ( 1 - f ( τ ) ) K lx ΔTdτ ) - n * τ 1 * m * ( I chou - I 0 )
Ask max (Q Net), optimum frequency that can this top blast ash that is heated, substitution formula FF=f (τ) tries to achieve the dirty factor of the critical ash of each heating surface under the current working; Q wherein F_0Be the heat during the soot blower attonity in this period, kJ; Q F_nHeat when having carried out blowing ash n time for this period, kJ; Q OutFor blowing the heat of grey steam consumption, kJ for n time; F is the heating surface heat transfer area, m 2Δ T is a logarithm mean temperature difference; F (τ) changes function for the grey dirty factor with blowing the grey frequency (time); I ChouBe the vapour source enthalpy of the used steam of soot blower, kJ/kg; I 0Be condenser inlet enthalpy, kJ/kg;
Step 10: boiler heating power result of calculation and boiler soot-blowing instruction are sent to real-time historical data transfer platform;
Described real-time historical data transit module deposits real-time result of calculation in calculator memory, treats next result of calculation arrival constantly, and previous moment data form computer internal memory is moved into database, the real time data in the update calculation machine internal memory then.
Described data disaply moudle shows the real-time result of calculation of the dirty factor of each convection heating surface ash in real time on the icon top of correspondence, and with the state of the dust stratification of yellow, pink and red three kinds of each section of color showing convection heating surfaces:, represent with yellow icon when the dirty factor of heating surface ash is slight pollution during less than 70% the dirty factor of critical ash; When the dirty factor of heating surface ash is intermediate pollution greater than 70% the dirty factor of critical ash during less than the dirty factor of critical ash, represent with pink icon; When the dirty factor of heating surface ash is serious pollution during greater than the dirty factor of critical ash, represent with red icon, point out this top blast ash group of being heated to blow ash simultaneously.
Beneficial effect: the present invention compares with existing soot blowing and optimal system, adopted the ature of coal in-line analyzer, can carry out heating power calculating to boiler according to going into stove ature of coal real-time change, obtain the grey dirty factor of each convection heating surface, thereby can react the contaminated situation of each convection heating surface of boiler more accurately.Simultaneously, the present invention is also visual with the heating surface pollution level, show the dirty factor of boiler heating surface ash in real time by the picture configuration, provide and blow the gray signal prompting, and provide historical trend to inquire about and remote access function, provide and better blow ash and instruct for blowing grey operations staff, improved the security and the economy of boiler of power plant operation.
Description of drawings
Fig. 1 soot blowing and optimal grid synoptic diagram,
Fig. 2 soot blowing and optimal algorithm flow chart,
Fig. 3 boiler increases the measuring point synoptic diagram newly.
Embodiment
Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement, comprise boiler DCS (Distributed Control System) the original primary instrument of components of system as directed, the data storage device that is used to deposit the real-time historical data of boiler, the newly-increased primary instrument of boiler, newly-increased DAS (Data Acquisition System) system, coal analysis instrument, industrial computer and server, boiler increases primary instrument newly, newly-increased DAS system links to each other successively with industrial computer.Industrial computer is as newly-increased measuring point data acquisition system, by the newly-increased primary instrument of boiler, coal analysis instrument and newly-increased DAS system, gathers newly-increased measuring point data, and data are sent into the boiler data storage device.Server is as the computing module of total system, memory module and result show the platform of enquiry module as a result, gather required measuring point data by interface routine from the boiler data storage device, boiler is carried out heating power calculate, and by real-time historical data transfer platform storage, demonstration and inquiry result of calculation.The newly-increased primary instrument of boiler comprises: be used to measure each convection heating surface heat exchanger inlet and outlet flue-gas temperature pyrometer couple, be used to measure each convection heating surface heat interchanger working medium out temperature low temperature thermocouple, be used to measure the pressure transducer and the differential pressure pick-up of air preheater inlet and outlet pressure and differential pressure.Computing module is according to the on-line measurement data of coal analysis instrument, the ultimate analysis and the calorific value of real-time update computing module ature of coal.
Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement of the present invention comprises as lower module: measuring point data acquisition module, computing module, real-time historical data transit module, data disaply moudle; The required measuring point of this method and original measuring point data that computing module is gathered according to the measuring point module, contrary flue gas flow carries out heating power to each convection heating surface and calculates, obtain the grey dirty factor and the dirty factor of critical ash of each convection heating surface, provide and blow the ash guidance, and send result of calculation to real-time historical data transit module, the historical data transit module shows by data disaply moudle real-time result of calculation on picture in real time, and historical data is sent in the database.
The measuring point data acquisition module by the newly-increased primary instrument of boiler, coal analysis instrument and newly-increased DAS system, is gathered measuring point data, and these data is sent into the real-time history data store device of boiler.The measuring point data acquisition module adopts the real-time analysis of ature of coal in-line analyzer to go into the elementary composition and the calorific value of stove fire coal, and analysis result is sent into the real-time history data store device of boiler.
Its computing module comprises the steps:
Step 1: the structural parameters such as tube side, caliber, flue gas circulation area and heat exchange area that boiler body, convection recuperator are set;
Step 2: the interface function that provides by boiler data storage device manufacturer, from boiler data storage device acquisition system desired data;
Step 3: the data of being gathered from the boiler data storage device are carried out data check, have only when all measuring point datas all at limited range, just enter the computing module master routine and calculate, otherwise, withdraw from computing module and send the data alerting signal of makeing mistakes to picture;
Step 4: calculate the flue gas physical property, the data that provide according to coal analysis instrument, when calculating 1 kilogram of fired coal combustion
Q) theoretical air volume, its formula is:
V 0=0.0889(C ar+0.375S ar)+0.265H ar-0.0333O ar
R) theoretical water steam volume, its formula is:
V H 2 O 0 = 0.0124 W ar + 0.111 H ar + 0.0161 V 0 ;
S) theoretical nitrogen volume, its formula is: V N 2 0 = 0.8 N ar 100 + 0 . 79 V 0 ;
T) theoretical three atomic gas volumes, its formula is: V R O 2 0 = 1.866 C ar 100 + 0.7 S ar 100 ;
U) actual water vapor volume, its formula is: V H 2 O = V H 2 O 0 + 0.0161 ( α - 1 ) V 0 ;
V) actual flue gas volume, its formula is: V y = V RO 2 0 + V N 2 0 + V H 2 O + ( α - 1 ) V 0 ;
W) air enthalpy can calculate by function C oldAirEnth, the ColdAirEnth function with gas or the ash temperature be the function input parameter, with gas or the ash enthalpy be the function output parameter, match 0 to 2000 ℃ air and O 2, CO 2, H 2O, N 2Deng the mean specific heat of gas and the enthalpy of 1 kilogram of ash;
X) flue gas enthalpy can be according to O 2, CO 2, H 2O, N 2Volume composition and flue-gas temperature Deng gas utilize function C oldAirEnth to calculate;
Wherein, C Ar, H Ar, O Ar, N Ar, S ArBe the as received basis composition of coal-fired ultimate analysis, %; W ArBe coal-fired ultimate analysis as received basis ash, %; α is an excess air coefficient, can pass through formula α = 21 21 - O 2 Obtain O in the formula 2Be oxygen level in the flue gas; V 0Be theoretical air volume, Nm 3/ kg; Be theoretical water steam volume, Nm 3/ kg; Be theoretical nitrogen volume, Nm 3/ kg; Be theoretical three atomic gas volumes, Nm 3/ kg; Be actual water vapor volume, Nm 3/ kg; V yBe actual flue gas volume, Nm 3/ kg;
Step 5: calculate boiler coal consumption, with the thermal efficiency and the coal-fired consumption of counter balancing method calculating boiler unit,
A) heat loss due to combustibles in refuse q 4 = 7850 A ar Q r ( α fh C fh 100 - C fh + α lz C lz 100 - C lz ) ;
B) heat loss due to unburned gas is for coal-powder boiler, optional q 3=0;
C) heat loss due to exhaust gas q 2 = I py - α py I lk 0 Q r × ( 100 - q 4 ) ;
D) radiation loss q 5 = q 5 e D e D ;
E) heat loss due to sensible heat in slag q 6 = A ar α lz ( cθ ) lz Q r ;
F) boiler efficiency η=1-q 2-q 3-q 4-q 5-q 6
G) the total heat of effectively utilizing of boiler
Q=D gq(i″ gq-i gs)+D zq(i″ zq-i′ zq)+D bq(i bq-i gs)+D pw(i pw-i gs);
H) calculate coal-fired consumption B j = Q η Q r ;
A wherein ArBe coal-fired ultimate analysis as received basis ash, %; Q rBe that 1 kilogram of fire coal is gone into stove heat, kJ/kg; C Fh, C LzBe the content percentage of carbon residue in flying dust and the slag, %; α FhBe the grey share that accounts for fuel ash in the flying dust, %; α LzFor the ash in the slag accounts for the share of ash content in the fuel, %; I PyBe smoke evacuation enthalpy, kJ/kg; I Lk 0Be theoretical cold air enthalpy, kJ/kg; α PyBe the excess air coefficient behind the air preheater; q 5 eBe radiation loss under the boiler rating, %; D eBe rated capacity, kg/h; D is the boiler actual evaporation, kg/h; Be the product of slag specific heat and its temperature, promptly 1 kilogram of ash is in temperature The time enthalpy, kJ/kg; D GqBe superheat steam flow, kg/h; D ZqBe reheated steam flow, kg/h; D BqUse saturated vapour flow, kg/h for taking out; D PwBe water amount of blowdown, kg/h; I " GqBe superheated vapor outlet enthalpy, kJ/kg; I " Zq, i ' ZqBe reheated steam outlet and inlet enthalpy, kJ/kg; i BqBe the enthalpy of saturated vapour, kJ/kg; i PwBe sewer enthalpy, kJ/kg; i GsBe boiler feed water enthalpy, kJ/kg;
Step 6: calculate the dirty factor of air preheater ash, import and export the index η that flue gas pressure reduction calculates the dirty degree of air preheater heating surface ash according to the air preheater heating surface Sj:
a) η sj = 2 ΔP ( wF ) 2 ρ = 273 ΔP · 2 g ( 3600 B j ) 2 V y G y ( T + 273 ) = C ΔP B j 2 V y G y ( T + 273 ) ;
B) the grey dirty factor FF of calculating air preheater Ky:
FF ky = η lx - η sj η lx
Wherein, Δ P is the pressure drop of this section heating surface, N/m 2B jFor calculating Coal-fired capacity, kg/h; G yBe 1 kilogram of coal combustion gained flue gas quality, its formula is: G y=1-A Ar/ 100+1.036 α V 0, kg/kg; V yBe 1 kilogram of coal combustion gained flue gas volume, m 3/ kg; ρ is a smoke density, kg/m 3W is a flue gas flow rate, m/s; F is the flue sectional area, m 2C is a constant coefficient; η SjBe the actual computation value; η LxBe numerical value ideally; FF KyThe grey dirty factor for air preheater;
Step 7: calculate the dirty factor FF of convection heating surface ash Dl,
a) FF dl = K lx - K sj K lx ;
b)Q sj=D(i″-i′+Δi jw)/B j
c) K sj = Q sj A · Δt ;
More than various in: i ', i " be the steam enthalpy of heating surface import and outlet, kJ/kg; Δ i JwBe desuperheating water enthalpy, kJ/kg; A is the heating surface heat transfer area, m 2, Δ t is a heat transfer temperature difference, K; FF DlIt is the dirty factor of convection heating surface ash; K LxBe the desirable heat transfer coefficient of air preheater, kJ/ (m 2K); K SjThe actual heat transfer coefficient of air preheater heating surface, kJ/ (m 2K);
Step 8: calculate the dirty factor of furnace wall cooling ash
A) calculate furnace outlet gas temperature
B) burner hearth evenly heat coefficient of efficiency
C) the dirty factor of furnace wall cooling ash
ζ pj = ψ pj x pj ;
Wherein, T aBe theoretical temperature combustion, K; M represents the constant of flame central position for considering the coefficient of flame central position; σ 0Be Boltzmann constant, 5.67 * 10 -8, W/ (m 2K 4); a lThe burner hearth blackness is the imaginary blackness of the effective radiation of an expression flame; F LtThe burner hearth area, m 2 Protect hot coefficient; B jComputing fuel level, kg/h; VC PjFlue gas arrives θ at 0 ℃ " LtBetween mean heat capacity, kJ/ (kg ℃); x PjBe the angle factor of water screen tube, relevant with the structural arrangement of water-cooling wall;
Step 9: calculate the dirty factor of critical ash, the calculating energy net proceeds
Q net = Q in - Q out = Q f _ n - Q f _ 0 - Q out
= F ( n ∫ τ 0 τ 0 + Δτ / n ( 1 - f ( τ ) ) K lx ΔTdτ - ∫ τ 0 τ 0 + Δτ ( 1 - f ( τ ) ) K lx ΔTdτ ) - n * τ 1 * m * ( I chou - I 0 )
Ask max (Q Net), optimum frequency that can this top blast ash that is heated, substitution formula FF=f (τ) tries to achieve the dirty factor of the critical ash of each heating surface under the current working; Q wherein F_0Be the heat during the soot blower attonity in this period, kJ; Q F_nHeat when having carried out blowing ash n time for this period, kJ; Q OutFor blowing the heat of grey steam consumption, kJ for n time; F is the heating surface heat transfer area, m 2Δ T is a logarithm mean temperature difference; F (τ) changes function for the grey dirty factor with blowing the grey frequency (time); I ChouBe the vapour source enthalpy of the used steam of soot blower, kJ/kg; I 0Be condenser inlet enthalpy, kJ/kg;
Step 10: data transmitting module sends to real-time historical data transfer platform with boiler heating power result of calculation and boiler soot-blowing instruction;
The historical data transit module deposits real-time result of calculation in calculator memory in real time, treats next result of calculation arrival constantly, and previous moment data form computer internal memory is moved into database, the real time data in the update calculation machine internal memory then.Data disaply moudle, the real-time result of calculation of the dirty factor of each convection heating surface ash is shown in real time on the icon top of correspondence, and with the state of the dust stratification of yellow, pink and red three kinds of each section of color showing convection heating surfaces:, represent with yellow icon when the dirty factor of heating surface ash is slight pollution during less than 70% the dirty factor of critical ash; When the dirty factor of heating surface ash is intermediate pollution greater than 70% the dirty factor of critical ash during less than the dirty factor of critical ash, represent with pink icon; When the dirty factor of heating surface ash is serious pollution during greater than the dirty factor of critical ash, represent with red icon, point out this top blast ash group of being heated to blow ash simultaneously.
After finishing the collection of data, verification and calculating, result of calculation is by the real-time historical data transfer platform based on SQL database of independent development in real time, being sent to the webpage configuration picture shows in real time, historical data is sent into SQL database, and the demonstration of webpage real time data, historical trend inquiry and the remote access module developed based on the .NET platform have realized that result of calculation shows in real time, historical trend is inquired about and remote access function.
Be applied as example with the present invention at certain power plant's 600MW subcritical boiler, concrete implementation step is as follows:
Step 1. hardware is installed:
Analyze needs for satisfying aforementioned calculation,,, form a cover DAS system, the data acquisition of finishing newly-increased measuring point and transforming measuring point by front end processor by increasing and transform some temperature and pressure measuring points newly according to the existing measuring point situation of this factory.The data of gathering insert unit DCS system by the address card of front end processor, data are sent into the PI system by the interface message processor (IMP) of DCS and PI system, the soot blowing and optimal system server is obtained data necessary by the PI system, through Model Calculation, the result is turned back on the OPM display terminal of pulpit, for operations staff's reference, instruct and blow grey process, system network architecture is as shown in Figure 1.
According to the existing measuring point of #1 unit boiler, for satisfying the real-time monitoring calculation needs of relevant heating surface heat exchange, set up 22 measuring points, newly-increased 22 measuring points comprise: 4 measuring points of low temperature superheater inlet steam temperature, 2 measuring points of low temperature superheater inlet cigarette stripping temperature, 2 measuring points of high temperature superheater entrance flue gas temperature, 4 measuring points of economizer exit feed temperature, 2 measuring points of economizer entrance flue gas temperature, 4 measuring points of wall type reheater outlet steam temperature, 4 measuring points of division pendant superheater outlet steam temperature, newly-increased measuring point distributes as shown in Figure 3.
Step 2. computing module is developed with VC++6.0MFC, and concrete steps are as follows:
1. boiler structure parameter initialization
According to the Structure Calculation book and the heating power calculated description of boiler, the structural parameters such as tube side, caliber, flue gas circulation area and heat exchange area of boiler body, convection recuperator are set.
2. data acquisition and verification
The ODBC linker that provides according to the real-time historical data base of PI provider of this factory, adding a new ODBC at server connects, VC++6.0MFC can visit PI by the standard SQL language then, computing module is gathered a secondary data per 10 seconds, 6 groups of data of on average once being gathered in per 60 seconds, and the mean value of these 6 groups of data carried out data check, if the data check success is then brought these data into the calculating master routine, carry out boiler heating power and the grey dirty factor is calculated.Otherwise, will withdraw from computing module, the record related data reason of makeing mistakes is searched relevant error data in order to the operations staff in journal file.
3. the dirty factor of each convection heating surface ash of boiler is calculated
Calculate the dirty factor of air preheater ash, import and export the index η that flue gas pressure reduction calculates the dirty degree of air preheater heating surface ash according to the air preheater heating surface Sj:
η sj = 2 ΔP ( wF ) 2 ρ = 273 ΔP · 2 g ( 3600 B j ) 2 V y G y ( T + 273 ) = C ΔP B j 2 V y G y ( T + 273 ) ;
Calculate the grey dirty factor FF of air preheater Ky:
FF ky = η lx - η sj η lx
Wherein, Δ P is the pressure drop of this section heating surface, N/m 2B jFor calculating Coal-fired capacity, kg/h; G yBe 1 kilogram of coal combustion gained flue gas quality, its formula is: G y=1-A Ar/ 100+1.036 α V 0, kg/kg; V yBe 1 kilogram of coal combustion gained flue gas volume, m 3/ kg; ρ is a smoke density, kg/m 3W is a flue gas flow rate, m/s; F is the flue sectional area, m 2C is a constant coefficient; η SjBe the actual computation value; η LxBe numerical value ideally; FF KyThe grey dirty factor for air preheater;
4. calculate the dirty factor FF of convection heating surface ash Dl,
FF dl = K lx - K sj K lx ;
Q sj=D(i″-i′+Δi jw)/B j
K sj = Q sj A · Δt ;
More than various in: i ', i " be the steam enthalpy of heating surface import and outlet, kJ/kg; Δ i JwBe desuperheating water enthalpy, kJ/kg; A is the heating surface heat transfer area, m 2, Δ t is a heat transfer temperature difference, K; FF DlIt is the dirty factor of convection heating surface ash; K LxBe the desirable heat transfer coefficient of air preheater, kJ/ (m 2K); K SjThe actual heat transfer coefficient of air preheater heating surface, kJ/ (m 2K);
5. determining of the dirty factor of critical ash
Calculating energy net proceeds at first
Q net = Q in - Q out = Q f _ n - Q f _ 0 - Q out
= F ( n ∫ τ 0 τ 0 + Δτ / n ( 1 - f ( τ ) ) K lx ΔTdτ - ∫ τ 0 τ 0 + Δτ ( 1 - f ( τ ) ) K lx ΔTdτ ) - n * τ 1 * m * ( I chou - I 0 )
Ask max (Q Net), optimum frequency that can this top blast ash that is heated, substitution formula FF=f (τ) tries to achieve the dirty factor of the critical ash of each heating surface under the current working; Q wherein F_0Be the heat during the soot blower attonity in this period, kJ; Q F_nHeat when having carried out blowing ash n time for this period, kJ; Q OutFor blowing the heat of grey steam consumption, kJ for n time; F is the heating surface heat transfer area, m 2Δ T is a logarithm mean temperature difference; F (τ) changes function for the grey dirty factor with blowing the grey frequency (time); I ChouBe the vapour source enthalpy of the used steam of soot blower, kJ/kg; I 0Be condenser inlet enthalpy, kJ/kg;
Step 3: result of calculation storage, demonstration and historical trend inquiry
After finishing the collection of data, verification and calculating, computing module sends to real-time historical data transit module with boiler heating power result of calculation and boiler soot-blowing instruction, real-time historical data transit module is sent to the webpage configuration picture with real-time result of calculation and shows in real time, historical data is sent into SQL database, and the demonstration of webpage real time data, historical trend inquiry and the remote access module developed based on the .NET platform have realized that result of calculation shows in real time, historical trend is inquired about and remote access function.
Picture is by finishing with the configuration software configuration of VB6.0 exploitation, provide the boiler convection heating surface to blow grey information frame, each section convection heating surface (comprises back screen superheater, screen formula reheater, high temperature reheater, high temperature superheater, low temperature superheater, the state of dust stratification economizer) is divided into 3 kinds: slight pollution, intermediate pollution and serious pollution, and distinguished: yellow with three kinds of different colors, pink and red, show the grey dirty factor of this heating surface on corresponding icon top, when this icon is in redness, represent that then its corresponding fouling of heating surface is more serious, provide blowing of each heating surface grey information in the picture bottom, when pairing when blowing grey group of needs and blowing ash, its corresponding icon will become redness, play warning function.
Picture provides also that the trend map of data is browsed, query function, and the trend map of data is browsed, query function is divided into historical query and inquiry in real time:
Real-time time span is 1 hour, and the concluding time is the current computer time;
Historical query is divided into inquiry in 24 hours, inquiry in 8 hours and the inquiry of random time section, and the time span of inquiry in 24 hours is 24 hours, and the concluding time is the current computer time; The query time span was 8 hours in 8 hours, and the concluding time is the current computer time; Random time section query time span is institute's span of input inquiry beginning and ending time, and the concluding time is institute's end of input time.

Claims (5)

1. Boiler Ash fouling monitoring and soot blowing and optimal method based on an ature of coal on-line measurement is characterized in that this method comprises as lower module: measuring point data acquisition module, computing module, real-time historical data transit module, data disaply moudle; The required measuring point of this method and original measuring point data that computing module is gathered according to the measuring point data acquisition module, contrary flue gas flow carries out heating power to each convection heating surface and calculates, obtain the grey dirty factor and the dirty factor of critical ash of each convection heating surface, provide and blow the ash guidance, and send result of calculation to real-time historical data transit module, the historical data transit module shows by data disaply moudle real-time result of calculation on picture in real time, and historical data is sent in the database; The measuring point data acquisition module by the newly-increased primary instrument of boiler, coal analysis instrument and newly-increased DAS system, is gathered measuring point data, and these data is sent into the real-time history data store device of boiler; The newly-increased primary instrument of boiler comprises: be used to measure each convection heating surface heat exchanger inlet and outlet flue-gas temperature pyrometer couple, be used to measure each convection heating surface heat interchanger working medium out temperature low temperature thermocouple, be used to measure the pressure transducer and the differential pressure pick-up of air preheater inlet and outlet pressure and differential pressure.
2. Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement as claimed in claim 1, it is characterized in that the measuring point data acquisition module, adopt the real-time analysis of ature of coal in-line analyzer to go into the elementary composition and the calorific value of stove fire coal, and analysis result is sent into the real-time history data store device of boiler.
3. Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement as claimed in claim 1 is characterized in that computing module comprises the steps:
Step 1: the structural parameters such as tube side, caliber, flue gas circulation area and heat exchange area that boiler body, convection recuperator are set;
Step 2: the interface function that provides by the real-time history data store device of boiler manufacturer, from boiler data storage device acquisition system desired data;
Step 3: the data of being gathered from the boiler data storage device are carried out data check, have only when all measuring point datas all at limited range, just enter the computing module master routine and calculate, otherwise, withdraw from computing module and send the data alerting signal of makeing mistakes to picture;
Step 4: calculate the flue gas physical property, the data that provide according to coal analysis instrument, when calculating 1 kilogram of fired coal combustion:
A) theoretical air volume, its formula is:
V 0=0.0889(C ar+0.375S ar)+0.265H ar-0.0333O ar
B) theoretical water steam volume, its formula is:
V H 2 O 0 = 0.0124 W ar + 0.111 H ar + 0.0161 V 0 ;
C) theoretical nitrogen volume, its formula is: V N 2 0 = 0.8 N ar 100 + 0.79 V 0 ;
D) theoretical three atomic gas volumes, its formula is: V RO 2 0 = 1.866 C ar 100 + 0.7 S ar 100 ;
E) actual water vapor volume, its formula is: V H 2 O = V H 2 O 0 + 0.0161 ( α - 1 ) V 0 ;
F) actual flue gas volume, its formula is: V y = V RO 2 0 + V N 2 0 + V H 2 O + ( α - 1 ) V 0 ;
G) air enthalpy can calculate by function C oldAirEnth, the ColdAirEnth function with gas or the ash temperature be the function input parameter, with gas or the ash enthalpy be the function output parameter, match 0 to 2000 ℃ air and O 2, CO 2, H 2O, N 2The enthalpy of the mean specific heat of gas and 1 kilogram of ash;
H) flue gas enthalpy can be according to O 2, CO 2, H 2O, N 2The volume composition of gas and flue-gas temperature utilize function C oldAirEnth to calculate;
Wherein, C Ar, H Ar, O Ar, N Ar, S ArBe the as received basis composition of coal-fired ultimate analysis, %; W ArBe coal-fired ultimate analysis as received basis moisture content, %; α is an excess air coefficient, can pass through formula Obtain O in the formula 2Be oxygen level in the flue gas; V 0Be theoretical air volume, Nm 3/ kg; Be theoretical water steam volume, Nm 3/ kg; Be theoretical nitrogen volume, Nm 3/ kg; Be theoretical three atomic gas volumes, Nm 3/ kg; Be actual water vapor volume, Nm 3/ kg; V yBe actual flue gas volume, Nm 3/ kg;
Step 5: calculate boiler coal consumption, with the thermal efficiency and the coal-fired consumption of counter balancing method calculating boiler unit,
A) heat loss due to combustibles in refuse q 4 = 7850 A ar Q r ( α fh C fh 100 - C fh + α lz C lz 100 - C lz ) ;
B) heat loss due to unburned gas is for coal-powder boiler, optional q 3=0;
C) heat loss due to exhaust gas q 2 = I py - α py I lk 0 Q r × ( 100 - q 4 ) ;
D) radiation loss q 5 = q 5 e D e D ;
E) heat loss due to sensible heat in slag q 6 = A ar α lz ( cθ ) lz Q r ;
F) boiler efficiency η=1-q 2-q 3-q 4-q 5-q 6
G) the total heat of effectively utilizing of boiler
Q=D gq(i″ gq-i gs)+D zq(i″ zq-i′ zq)+D bq(i bq-i gs)+D pw(i pw-i gs);
H) calculate coal-fired consumption B j = Q η Q r ;
A wherein ArBe coal-fired ultimate analysis as received basis ash, %; Q rBe that 1 kilogram of fire coal is gone into stove heat, kJ/kg; C Fh, C LzBe the content percentage of carbon residue in flying dust and the slag, %; α FhBe the grey share that accounts for fuel ash in the flying dust, %; α LzFor the ash in the slag accounts for the share of ash content in the fuel, %; I PyBe smoke evacuation enthalpy, kJ/kg; Be theoretical cold air enthalpy, kJ/kg; α PyBe the excess air coefficient behind the air preheater; Be radiation loss under the boiler rating, %; D eBe rated capacity, kg/h; D is the boiler actual evaporation, kg/h; (c θ) LzBe the product of slag specific heat and its temperature, i.e. the enthalpy of 1 kilogram of ash when temperature θ, kJ/kg; D GqBe superheat steam flow, kg/h; D ZqBe reheated steam flow, kg/h; D BqUse saturated vapour flow, kg/h for taking out; D PwBe water amount of blowdown, kg/h; I " GqBe superheated vapor outlet enthalpy, kJ/kg; I " Zq, i ' ZqBe reheated steam outlet and inlet enthalpy, kJ/kg; i BqBe the enthalpy of saturated vapour, kJ/kg; i PwBe sewer enthalpy, kJ/kg; i GsBe boiler feed water enthalpy, kJ/kg;
Step 6: calculate the dirty factor of air preheater ash, import and export the index η that flue gas pressure reduction calculates the dirty degree of air preheater heating surface ash according to the air preheater heating surface Sj:
a ) , η sj = 2 ΔP ( wF ) 2 ρ = 273 ΔP · 2 g ( 3600 B j ) 2 V y G y ( T + 273 ) = C ΔP B j 2 V y G y ( T + 273 ) ;
B) the grey dirty factor FF of calculating air preheater Ky:
FF ky = η lx - η sj η lx
Wherein, Δ P is the pressure drop of this section heating surface, N/m 2B jFor calculating Coal-fired capacity, kg/h; G yBe 1 kilogram of coal combustion gained flue gas quality, its formula is: G y=1-A Ar/ 100+1.036 α V 0, kg/kg; V yBe 1 kilogram of coal combustion gained flue gas volume, m 3/ kg; ρ is a smoke density, kg/m 3W is a flue gas flow rate, m/s; F is the flue sectional area, m 2C is a constant coefficient; η SjBe the actual computation value; η LxBe numerical value ideally; FF KyThe grey dirty factor for air preheater;
Step 7: calculate the dirty factor FF of convection heating surface ash Dl,
a ) , FF dl = K lx - K sj K lx ;
b)Q sj=D(i″-i′+Δi jw)/B j
c ) , K sj = Q sj A · Δt ;
More than various in: i ', i " be the steam enthalpy of heating surface import and outlet, kJ/kg; Δ i JwBe desuperheating water enthalpy, kJ/kg; A is the heating surface heat transfer area, m 2, Δ t is a heat transfer temperature difference, K; FF DlIt is the dirty factor of convection heating surface ash; K LxBe the desirable heat transfer coefficient of air preheater, kJ/ (m 2K); K SjThe actual heat transfer coefficient of air preheater heating surface, kJ/ (m 2K);
Step 8: calculate the dirty factor of furnace wall cooling ash
A) calculate furnace outlet gas temperature
B) burner hearth evenly heat coefficient of efficiency
C) the dirty factor of furnace wall cooling ash
ζ pj = ψ pj x pj ;
Wherein, T aBe theoretical temperature combustion, K; M represents the constant of flame central position for considering the coefficient of flame central position; σ 0Be Boltzmann constant, 5.67 * 10 -8, W/ (m 2K 4); a lThe burner hearth blackness is the imaginary blackness of the effective radiation of an expression flame; F LtThe burner hearth area, m 2 Protect hot coefficient; B jComputing fuel level, kg/h; Flue gas arrives θ at 0 ℃ " LtBetween mean heat capacity, kJ/ (kg ℃); x PjBe the angle factor of water screen tube, relevant with the structural arrangement of water-cooling wall;
Step 9: calculate the dirty factor of critical ash, the calculating energy net proceeds
Q net = Q in - Q out = Q f _ n - Q f _ 0 - Q out
= F ( n ∫ τ 0 τ 0 + Δτ / n ( 1 - f ( τ ) ) K lx ΔTdτ - ∫ τ 0 τ 0 + Δτ ( 1 - f ( τ ) ) K lx ΔTdτ ) - n * τ 1 * m * ( I chou - I 0 )
Ask max (Q Net), optimum frequency that can this top blast ash that is heated, substitution formula FF=f (τ) tries to achieve the dirty factor of the critical ash of each heating surface under the current working; Q wherein F_0Be the heat during the soot blower attonity in this period, kJ; Q F_nHeat when having carried out blowing ash n time for this period, kJ; Q OutFor blowing the heat of grey steam consumption, kJ for n time; F is the heating surface heat transfer area, m 2Δ T is a logarithm mean temperature difference; F (τ) changes function for the grey dirty factor with blowing the grey frequency; I ChouBe the vapour source enthalpy of the used steam of soot blower, kJ/kg; I 0Be condenser inlet enthalpy, kJ/kg;
Step 10: boiler heating power result of calculation and boiler soot-blowing instruction are sent to real-time historical data transit module.
4. Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement as claimed in claim 1, it is characterized in that described real-time historical data transit module deposits real-time result of calculation in calculator memory, treat next result of calculation arrival constantly, previous moment data form computer internal memory is moved into database, the real time data in the update calculation machine internal memory then.
5. Boiler Ash fouling monitoring and soot blowing and optimal method based on the ature of coal on-line measurement as claimed in claim 1, it is characterized in that described data disaply moudle shows the real-time result of calculation of the dirty factor of each convection heating surface ash in real time on the icon top of correspondence, and with the state of the dust stratification of yellow, pink and red three kinds of each section of color showing convection heating surfaces:, represent with yellow icon when the dirty factor of heating surface ash is slight pollution during less than 70% the dirty factor of critical ash; When the dirty factor of heating surface ash is intermediate pollution greater than 70% the dirty factor of critical ash during less than the dirty factor of critical ash, represent with pink icon; When the dirty factor of heating surface ash is serious pollution during greater than the dirty factor of critical ash, represent with red icon, point out this top blast ash group of being heated to blow ash simultaneously.
CN2009100332364A 2009-06-10 2009-06-10 Boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality Expired - Fee Related CN101598688B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2009100332364A CN101598688B (en) 2009-06-10 2009-06-10 Boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2009100332364A CN101598688B (en) 2009-06-10 2009-06-10 Boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality

Publications (2)

Publication Number Publication Date
CN101598688A CN101598688A (en) 2009-12-09
CN101598688B true CN101598688B (en) 2011-12-14

Family

ID=41420197

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2009100332364A Expired - Fee Related CN101598688B (en) 2009-06-10 2009-06-10 Boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality

Country Status (1)

Country Link
CN (1) CN101598688B (en)

Families Citing this family (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102095204B (en) * 2010-11-09 2012-07-04 东南大学 Boiler soot blowing control device based on flue fly ash mass flow
CN102263436B (en) * 2011-03-31 2013-11-06 中国神华能源股份有限公司 On-line monitoring system for energy-saving scheduling and real-time coal consumption of power grid
CN102353720A (en) * 2011-09-01 2012-02-15 华北电力大学 Method and device for monitoring ash dirt on convection heating surface of boiler
CN102494714B (en) * 2011-11-11 2014-04-16 东南大学 Synchronous reckoning method of utility boiler efficiency and coal heat value as well as ash content and moisture content
CN102968097A (en) * 2012-10-31 2013-03-13 北京全动力能源技术有限公司 Remote on-line monitoring system for in-furnace fuels of coal gangue comprehensive utilization power plant
CN102981480B (en) * 2012-11-28 2015-04-15 白永军 Dust output control method and control system
CN103047666B (en) * 2012-12-20 2016-06-01 浙江省电力公司电力科学研究院 A kind of boiler convection heating surface blows method and the device of ash
CN103513291A (en) * 2013-08-21 2014-01-15 国家电网公司 Analysis early warning system based on air pre-heater bypass sealing air speed for air pre-heater blocking detection
CN104765743B (en) * 2014-01-03 2018-10-02 浙江大唐乌沙山发电有限责任公司 A kind of method and system of as-fired coal coal quality real-time display
CN103759277B (en) * 2014-01-28 2015-12-02 烟台龙源电力技术股份有限公司 Coal-fired power station boiler intelligent ash blowing closed loop control method, device and system
CN103744294B (en) * 2014-01-28 2015-12-30 烟台龙源电力技术股份有限公司 Based on the multiple goal soot blowing and optimal method of fuzzy control, server and system
CN103760191B (en) * 2014-02-24 2016-01-20 烟台龙源电力技术股份有限公司 Based on the full working scope boiler heating surface pollution monitoring method and apparatus of dynamic compensation
CN105222115B (en) * 2014-06-16 2017-08-25 艾默生过程管理电力水利解决方案公司 Control method and control system for fossil-fuel boiler
CN104215546B (en) * 2014-08-15 2016-08-24 国家电网公司 A kind of power station boiler air pre-heater stifled ash monitoring system and method for work thereof
CN104714453B (en) * 2015-03-12 2018-05-25 北京恒泰声科科技有限公司 Acoustic wave ash ejector remote real time monitoring control system and method
CN104992021B (en) * 2015-07-10 2019-02-19 华北电力科学研究院有限责任公司 Calculate the determination method and device of fuel quantity
CN105069185A (en) * 2015-07-14 2015-11-18 东南大学 Method for establishing air pre-heater clean factor calculation model by using smoke pressure difference, and application
CN105158107B (en) * 2015-07-30 2018-06-26 山东电力研究院 A kind of method of determining pyrolysis of coal product component content
CN105045196B (en) * 2015-08-27 2018-10-26 华北电力大学 A kind of boiler water wall slagging on-line monitoring system and method
CN106932407A (en) * 2015-12-30 2017-07-07 华南理工大学 A kind of dipstick formula Engine Oil Cleanliness detection means
CN105808924B (en) * 2016-03-01 2018-03-20 东南大学 A kind of boiler combustion adjusts operating mode econmics comparison method
CN105972585B (en) * 2016-04-29 2018-11-06 华北电力大学 A kind of circulating fluidized bed boiler soot blowing and optimal system and method
CN106402910B (en) * 2016-10-31 2018-09-28 上海电力学院 A kind of power plant boiler intelligent ash blowing method
CN107219251B (en) * 2017-06-28 2019-08-13 西安交通大学 It is a kind of for testing the device and method of smoke gas afterheat heat exchanger dust stratification characteristic
CN107525064A (en) * 2017-08-29 2017-12-29 国网浙江省电力公司电力科学研究院 The pulverized-coal fired boiler economizer soot blower system optimization operation method calculated based on temperature and pressure
CN108716664B (en) * 2018-04-28 2019-11-15 国网山东省电力公司电力科学研究院 A kind of method and apparatus of on-line measurement burner hearth ash fouling coefficient
CN109351178B (en) * 2018-11-09 2021-06-25 华创三立(北京)能源科技有限公司 Anti-blocking control method and system for thermal power station air pre-heater and thermal power station air pre-heater system
CN109709146A (en) * 2018-11-12 2019-05-03 大唐珲春发电厂 As-fired coal matter ingredient on-line monitoring method
CN109654517B (en) * 2018-12-05 2019-12-31 中北大学 Boiler soot blowing optimization method based on heating surface health state prediction
CN109613059B (en) * 2018-12-17 2021-06-01 江苏海事职业技术学院 Metallurgical gas calorific value online measuring and calculating method based on combustion system operation parameters
CN109850517B (en) * 2019-04-02 2020-12-04 华北电力科学研究院有限责任公司 Intelligent ash conveying method and device for power plant
CN110864316A (en) * 2019-10-14 2020-03-06 中国大唐集团科学技术研究院有限公司火力发电技术研究院 Boiler furnace optimizes soot blowing system based on infrared temperature measurement and numerical calculation
CN110749522B (en) * 2019-11-13 2020-09-22 扎鲁特旗扎哈淖尔煤业有限公司 Crushing type coal quality identification device

Also Published As

Publication number Publication date
CN101598688A (en) 2009-12-09

Similar Documents

Publication Publication Date Title
CN101598688B (en) Boiler fouling monitoring and soot blowing optimization methods based on on-line measurement of coal quality
CN103075739B (en) Utilize statistical Process Control to control the method and apparatus of soot blowing
CN105972585B (en) A kind of circulating fluidized bed boiler soot blowing and optimal system and method
CN101839795B (en) System and method for diagnosing leakage of pressure-bearing pipe of boiler
CN102385356B (en) Optimizing control method for sintering waste heat power generation system
CN103759277B (en) Coal-fired power station boiler intelligent ash blowing closed loop control method, device and system
Shi et al. On-line monitoring of ash fouling and soot-blowing optimization for convective heat exchanger in coal-fired power plant boiler
CN102192495B (en) Fouling monitoring system and method for superheater of coal-fired boiler
CN101806626A (en) Online monitoring method for flue gas temperature of hearth outlet of power station boiler
Peña et al. Towards soot-blowing optimization in superheaters
CN103604132A (en) System for online monitoring of gathered dust on convection heating surface of boiler
CN105276563A (en) Method for soft measurement of smoke temperature of outlet of hearth based on real-time slagging condition of hearth
CN207688100U (en) A kind of garbage burning boiler steam reheat system
CN106773955A (en) A kind of boiler soot-blowing optimizes system and its optimization method
CN110298502A (en) Based on the boiler optimum oxygen calculation method that efficiency is optimal
CN106439855B (en) A kind of steam air pre-heating system of garbage burning boiler
CN109141541A (en) A kind of coal-fired power station boiler reheater working medium flow on-line correction method
CN102252779B (en) Flue gas energy balance-based method for optimized measurement of flue gas temperature at furnace outlet
CN102032956B (en) Method for measuring heat absorbed by boiler water cooled wall in real time
CN202216928U (en) Fouling monitoring device for monitoring convection heating surfaces f boiler
CN106322412B (en) Coal unit convection heating surface intelligent ash blowing method based on two-dimentional optimizing
CN108036298A (en) A kind of garbage burning boiler steam reheat system
Gil et al. Thermoeconomic diagnosis of energy systems
CN202791953U (en) Water pipe type condensation superheating steam generator
CN102353720A (en) Method and device for monitoring ash dirt on convection heating surface of boiler

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
GR01 Patent grant
C14 Grant of patent or utility model
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20111214

Termination date: 20140610

EXPY Termination of patent right or utility model