CN107316104A - The coal mixing combustion forecast system of assessment system after a kind of band - Google Patents
The coal mixing combustion forecast system of assessment system after a kind of band Download PDFInfo
- Publication number
- CN107316104A CN107316104A CN201710425337.0A CN201710425337A CN107316104A CN 107316104 A CN107316104 A CN 107316104A CN 201710425337 A CN201710425337 A CN 201710425337A CN 107316104 A CN107316104 A CN 107316104A
- Authority
- CN
- China
- Prior art keywords
- coal
- mrow
- msub
- formula
- ature
- 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.)
- Pending
Links
- 239000003245 coal Substances 0.000 title claims abstract description 357
- 238000002485 combustion reaction Methods 0.000 title claims abstract description 60
- 238000002156 mixing Methods 0.000 title claims abstract description 53
- 230000007613 environmental effect Effects 0.000 claims abstract description 24
- 238000013461 design Methods 0.000 claims abstract description 21
- 239000000446 fuel Substances 0.000 claims abstract description 10
- 238000002474 experimental method Methods 0.000 claims abstract description 7
- 239000002956 ash Substances 0.000 claims description 45
- 239000000428 dust Substances 0.000 claims description 22
- 239000002817 coal dust Substances 0.000 claims description 18
- 238000012937 correction Methods 0.000 claims description 18
- 230000003044 adaptive effect Effects 0.000 claims description 15
- 238000011156 evaluation Methods 0.000 claims description 15
- 239000002893 slag Substances 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 13
- 239000010883 coal ash Substances 0.000 claims description 12
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 9
- 229910052799 carbon Inorganic materials 0.000 claims description 9
- 238000001035 drying Methods 0.000 claims description 9
- 238000000605 extraction Methods 0.000 claims description 9
- 230000002269 spontaneous effect Effects 0.000 claims description 9
- 238000006477 desulfuration reaction Methods 0.000 claims description 8
- 230000023556 desulfurization Effects 0.000 claims description 8
- 238000000227 grinding Methods 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 7
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 6
- 239000005864 Sulphur Substances 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 6
- 239000000571 coke Substances 0.000 claims description 6
- 230000003628 erosive effect Effects 0.000 claims description 6
- 238000004880 explosion Methods 0.000 claims description 6
- 238000010438 heat treatment Methods 0.000 claims description 5
- 230000005611 electricity Effects 0.000 claims description 4
- 241000208340 Araliaceae Species 0.000 claims description 3
- OYPRJOBELJOOCE-UHFFFAOYSA-N Calcium Chemical compound [Ca] OYPRJOBELJOOCE-UHFFFAOYSA-N 0.000 claims description 3
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 claims description 3
- 108010074864 Factor XI Proteins 0.000 claims description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 3
- 230000004308 accommodation Effects 0.000 claims description 3
- PNEYBMLMFCGWSK-UHFFFAOYSA-N aluminium oxide Inorganic materials [O-2].[O-2].[O-2].[Al+3].[Al+3] PNEYBMLMFCGWSK-UHFFFAOYSA-N 0.000 claims description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 229910052791 calcium Inorganic materials 0.000 claims description 3
- 239000011575 calcium Substances 0.000 claims description 3
- 229910052593 corundum Inorganic materials 0.000 claims description 3
- 238000011157 data evaluation Methods 0.000 claims description 3
- 238000011234 economic evaluation Methods 0.000 claims description 3
- 239000003344 environmental pollutant Substances 0.000 claims description 3
- 235000013312 flour Nutrition 0.000 claims description 3
- 239000003500 flue dust Substances 0.000 claims description 3
- 239000003546 flue gas Substances 0.000 claims description 3
- 239000010881 fly ash Substances 0.000 claims description 3
- 239000007789 gas Substances 0.000 claims description 3
- 235000008434 ginseng Nutrition 0.000 claims description 3
- 229910052751 metal Inorganic materials 0.000 claims description 3
- 239000002184 metal Substances 0.000 claims description 3
- 238000003801 milling Methods 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 231100000719 pollutant Toxicity 0.000 claims description 3
- 238000002360 preparation method Methods 0.000 claims description 3
- 229910001845 yogo sapphire Inorganic materials 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 4
- 238000010977 unit operation Methods 0.000 abstract description 2
- 239000000203 mixture Substances 0.000 description 9
- ZAMOUSCENKQFHK-UHFFFAOYSA-N Chlorine atom Chemical compound [Cl] ZAMOUSCENKQFHK-UHFFFAOYSA-N 0.000 description 4
- 239000000460 chlorine Substances 0.000 description 4
- 229910052801 chlorine Inorganic materials 0.000 description 4
- 241000196324 Embryophyta Species 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000005662 electromechanics Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
- G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Regulation And Control Of Combustion (AREA)
Abstract
The invention discloses a kind of coal mixing combustion forecast system of assessment system after band, when power plant carries out many coal coal mixing combustions, the burning scheme of mixing of crew qiting Coal rank and mixed-fuel burning proportion is made and judged in advance using the design parameter of the system combination power plant, architectural feature, fuel characteristic data, examination can be reduced to burn experiment, evade environmental protection and security risk, and lift the economy of unit operation.Predict coal mixing combustion whether the scheme of suggestion assesses the checking program after being carried out again to it by actually mixing the service data of burning feasible afterwards.The system can provide science for the mixed coal combustion of research object power plant, simple and effective decision-making technic is supported, theoretical and application foundation has been established for development coal mixing combustion technology.
Description
Technical field:
The present invention relates to one kind, the invention belongs to thermal power generating technology field, and in particular to assessment system matches somebody with somebody after a kind of band
Coal mixes burning forecast system.
Background technology:
The adaptability of coal characteristic and boiler controller system, economical operation safe and environment-friendly to boiler controller system is most important.It is coal-fired
Power plant to design coal, check coal and using or mix burning and may use or mix the coal of burning it is necessary to have comprehensive
Understanding, grasp their grinding, catch fire, burn, slagging, contamination, environmental protection characteristic, just can ensure that the peace of whole thermal power plant operation
Complete and economy.Now, increasing thermal power plant can not obtain enough design coals, can only be mixed many coals
Burning is mixed in conjunction.In the epoch surfed the Net at a competitive price in power plant, how to select coal source and provide reliably to use or mix burning scheme and technological guidance,
Performance driving economy and security are improved, cost of electricity-generating is reduced, uses one of the problem of more economical fuel is owner's overriding concern.
Body series predict many coal coal blendings and mix burning effect, provide unit operation according to the applicability of coal property and boiler plant
Safe and environment-friendly, economic optimum coal mixture scheme mixes burning scheme, instructs thermal power plant to carry out the coal management of science and mix burning decision-making, ensures
Unit safety, efficient, clean operation, and based on " power plant's SIS systems " real-time data base and fuel whole process management system,
Using data mining technology, coal mixing combustion case real-time tracking is evaluated, coal mixing combustion effect assessment and fuel cost is established
Analysis and optimization model, constructs coal mixing combustion experience storehouse, realizes and mixes the real-time assessment for burning effect and mix the benign of burning process
Closed loop management.
The content of the invention:
It is an object of the invention to provide a kind of coal mixing combustion forecast system of assessment system after band.
To achieve the above object, present invention employs following technical scheme:
The coal mixing combustion forecast system of assessment system after a kind of band, including coal mixing combustion module and rear assessment system module;
Wherein, coal mixing combustion module is used to formulate coal mixing combustion scheme, and rear assessment system module is used to verify coal mixing combustion prediction module
The correctness of conclusion.
Further improve of the invention is that coal mixing combustion prediction module includes
Coal-fired ature of coal is calculated evaluates submodule with coal, non-for the calculating of mixed coal ature of coal parameter linear model, ature of coal parameter
Linear model is calculated and coal is evaluated;
Coal-fired spontaneous combustion predicts submodule with mobility, evaluates what submodule was obtained with coal for being calculated according to coal-fired ature of coal
Ature of coal parameter, which is calculated, obtains mixed coal ignition quality, coal-fired mobility prediction;
Pulverized coal preparation system runnability predicts submodule, evaluates what submodule was obtained with coal for being calculated according to coal-fired ature of coal
Ature of coal parameter calculates and obtains Mill output, coal dust explosion characteristic, coal pulverizer abrasive article life-span;
Burning, slagging trend prediction submodule, are obtained for being calculated according to coal-fired ature of coal with coal evaluation submodule in stove
Ature of coal parameter calculate obtain boiler minimum steady combustion load, uncompleted burned carbon heat loss, burner hearth/screen area slagging trend prediction;
Submodule is predicted in pollutant emission, and the ature of coal ginseng that submodule is obtained is evaluated with coal for being calculated according to coal-fired ature of coal
Number calculating obtains NOXDischarge capacity, SO2Discharge capacity, dust discharge amount prediction;
Boiler major pant item adaptive forecasting submodule, is obtained for being calculated according to coal-fired ature of coal with coal evaluation submodule
Ature of coal parameter calculate obtain pressure fan, primary air fan, deashing device, residue extraction mechanism adaptive forecasting;
Power plant's performance driving economy prediction submodule, the coal that submodule is obtained is evaluated for being calculated according to coal-fired ature of coal with coal
Matter parameter, which is calculated, obtains intrinsic economy, performance driving economy prediction.
Further improve of the invention is that coal-fired ature of coal is calculated to be evaluated in submodule with coal, using GB/T7562-98
Standard, is evaluated coal, and ature of coal parameter linear model is as follows during coal-fired ature of coal is calculated:
(1) weighted average linear relationship
X=(rAXA+rBXB+rCXC)/(rA+rB+rC) (1)
In formula, X, linear ature of coal parameter;R is mixed coal ratio;
(2) ash content weighted average linear relationship
X=(rAAar,AXA+rBAar,BXB+rCAar,CXC)/(rAAar,A+rBAar,B+rCAar,C) (2)
In formula, Aar is As-received ash content;
Ature of coal parameter non-linear model is as follows:
(1) burning performance parameter nonlinear model
Y=A0+A1 × X1+A2 × X2+ ...+A9 × X9 (3)
It is above-mentioned each influence factor or its group that wherein Y, which represents Ignition Temperature for Blended Coal IT, burn-off rate Bp and slagging index Sc, Xi,
Close, Ai is coefficient, each combustibility index and its influence factor are listed in table 1, and regression coefficient is fitted by experiment, and draws each burning
Blended Coal Combustion performance evaluation after index, is carried out according to GB/T7562-98 standards;
The recurrence factor of the Blended Coal Combustion index of table 1
Coefficient A | A0 | A1 | A2 | A3 | A4 | A5 | A6 | A7 | A8 | A9 |
Factor Xi | C | Vdaf | Qnet,ar | Aar | Mt | Ratio1 | Vdaf/Aar | Vdaf/Mt | Qnet,ar/Aar | Qnet,ar/Mt |
Note 1:Ratio, which refers to, to be mixed in burning coal with respect to the coal ratio preferably burnt;
(2) other ature of coal parameter non-linear models
Maximum coal ash ratio resistance R=(10.23+0.0491 × Al2O3-0.0342×Cfh)10 (4)
In formula, Al2O3For mixed coal ash component;CfhFor unburned combustible in fly ash, %;
The mixed coal ature of coal output table of table 2 and ature of coal collect with coal characteristic index calculating method
The present invention, which is further improved, to be,
Mixed coal blast, ignition quality are calculated as follows:
In formula, KdThe index of expolsibility of-coal dust;VdThe drying base volatile matter of-coal, Vd=Vdaf × (100-Mt)/(100-
Aar-Mt), %;VVol, queThe lower limit of flammable volatile matter needed for burning, % when-consideration ash and coke;
Vvol=(1260/Qvol)×100 (7)
Qvol=(QNet, v, daf-78.50×4.1816×FCdaf)/Vdaf (8)
FCdaf=1-Vdaf (9)
In formula, Vvol- do not consider ash and during coke flammable volatile matter needed for burning lower limit, %;QvolThe heat of-volatile matter
Value, kJ/kg;QNet, v, dafThe dry ash free basis low heat valve of-coal, kJ/kg;FCdafThe dry ash free basis fixed carbon of-coal contains
Amount;VdafThe dry ash free basis volatile matter content of-coal;
The index of expolsibility K of experiment coal dust is calculated using above-mentioned formuladValue is bigger, and explosion tendency is more serious, and criterion is as follows:
The index of expolsibility of the coal dust of table 3 and the relation of raw coal spontaneous combustion characteristic
The index of expolsibility of coal dust | The explosivity of coal dust | The spontaneous combustion tendency of raw coal | Raw coal pilling up time |
Kd<1.0 | It is low | It is low | Do not limit |
1.0<Kd<3.0 | In | It is medium | Do not limit |
Kd≥3.0 | Easily | Easily | In 1 month |
Coal-fired mobility prediction:
Mf=100 × (Mt-Mad)/(100-Mad), % (10)
MfIt is to the discrimination standard of raw coal mobility:
Mf≤ 8.0% defeated coal is normal
8%<Mf≤ 12.0% is likely to occur run coal bin coal breakage blockage
Mf> 12.0% is difficult to safe operation
Mill output is calculated
Flour mill is exerted oneself=Max (BM, BM,d) (11)
(1) B that exerts oneself is groundMCalculate
The modified computing formulae that medium-speed pulverizer grinding is exerted oneself is as follows:
BM=BMO×fH×fR×fM×fA×fg×fe (12)
In formula, BMO- coal pulverizer is exerted oneself substantially, fH、fR、fm、fa、fg、fe- it is respectively grindability, fineness of pulverized coal, raw coal
Moisture content, original coal ash part, raw coal size and part of milling are exerted oneself when wearing up to the middle and later periods reduces the correction factor to pulverizer capacity;
(2) drying capacity of pulverizer BM,dCalculate:
The drying capacity of pulverizer of table 5 is calculated
The coal pulverizer abrasive article life-span calculates:
Coal pulverizer abrasive article life-span=137.34 × Ke4–2257×Ke3+13812×Ke2- 38751 × Ke+48703 is small
When;
Boiler minimum steady fires carry calculation:
(1) pre- blending is burnt
In formula, IT-breeze airflow ignition temperature, DEG C;Qnet,adThe empty butt low heat valve of-coal sample, MJ/kg;qF=
qF is designed- boiler at full capacity under design furnace cross, kW/m2;
Qnet,ad={ (Qnet,ar×1000+25Mt)×(100-Mad)/(100-Mt)-25×Mad/4.1816}/1000 (14)
(2) mill is divided to mix burning
The Dmin of each single fire raw coal is calculated, the index of stability Dminh of mixed coal is calculated when carrying out the mill operation of n platforms as the following formula:
Dminh=(Dmin1×Q1+Dmin2×Q2+......+DminN × Qn)/(Q1+Q2+.....+Qn), %
In formula, Dmin1~DminN-First is milled to n-th coal-fired index of stability that catches fire of mill, is calculated by formula (13);Q1
~Qn-First is milled to the coefficient of n-th coal-fired index of stability that catches fire of mill;
Uncompleted burned carbon heat loss is calculated:
(1) pre- blending is burnt
In formula, qV- boiler actual heating load parameter, qV=actual load/BMCR operating modes thermic load × qV,BMCR;qF- pot
Stove actual heating load parameter, qF=actual load/BMCR operating modes thermic load × qF,BMCR, B2 is the burn-off rate of operating mode two;
(2) mill is divided to mix burning
Distance of each mill burner away from screen bottom determines the after-flame degree of the coal-grinding coal, mixed coal when calculating the mill operation of n platforms
q4h:
Q4h=(q41/L1+q42/L2+ ...+q4n/Ln)/(1/L1+1/L2+ ...+1/Ln), % (16)
In formula, q41~~q4n-First is milled to n-th coal-fired q4 value of mill;L1~Ln-it is respectively first layer and the
N-layer burner is milled to the distance at screen bottom;
The slagging trend prediction in burner hearth/screen area:
(1) pre- blending is burnt
Premix mode lower hearth has identical slagging trend with screen area, and Boiler Furnace slagging characteristic is differentiated with slagging index Su,
Calculation formula is as follows:
In formula, SU coals- be coal sample slagging index;
qF- negative the kW/m of section of burner hearth heat under the corresponding load of boiler2, qF=actual load/BMCR operating modes thermic load ×
qF,BMCR;
The ash erosion index and slag formation at platen zone index calculated is by following grade discrimination:
Su | More than 5 | 5-4 | 4-3 | 3-2 | Less than 2 |
Differentiate grade | Seriously | It is high | Middle height | In | It is low |
(2) mill is divided to mix burning
Mill is divided to mix under burning mode, the Su that Boiler Furnace slagging index is directly calculated with mixed coal data;And screen during the mill operation of n platforms
Area slagging index Suh is calculated as follows:
Suh=(Su1 × Q1+Su2 × Q2+ ...+Sun × Qn)/(Q1+Q2+ ...+Qn) (18)
In formula, Su1~Sun-be milled to n-th coal-fired slagging index value of mill for First;
Q1~Qn-coal-fired influence the coefficient to slag formation at platen zone of difference mill;
NOXDischarge capacity, SO2Discharge capacity, dust discharge amount prediction are calculated;
(1) NOx emission predictive
NOx=(1182.978 × Nar- 0.9338934 × Vdaf×Qnet,ar+0.0063/Vdaf- 17.021/Vdaf/Nar+
491.9144)×FH×FO2×K,mg/m3 (19)
In formula, FH- it is load correction value;
FO2- it is operation oxygen amount correction value;
K-and it is unit correction value, it is modified by calculated value with actual value gap;
By actual NOx generation amount, predict whether the disposal ability of denitrating system is up to standard, no denitrating system then judges
Whether NOx discharge is exceeded;
(2)SO2Forecasting of discharged quantity
From desulfurization degree ηSCalculation formula it is as follows:
ηS=33.31-0.925 × Qnet, ar)+7.62 × Ks,self, % (20)
In formula, Ks,self, the calcium to sulphur mole ratio of coal itself, Ks,self=0.00571 × 0.90 × Aar×CaO/St,ar;
Theoretical SO2Discharge capacity SO2' calculated as the following formula:
SO2'=20000 × St,ar/Vgy,mg/m3 (21)
In formula, Vgy- theory dry flue gas amount, m3/ kg, Vgy=1.866 × (Car+0.375×St,ar)/100+0.79×Vgk
+0.4×Vgk;
Vgk- theory dry air amount, m3/ kg, Vgk=0.089 × (Car+0.375 × St,ar)+0.265×Har-0.0333
×Oar;
Then actual SO2Discharge capacity is:
SO2=(100- ηS)/100×SO2', mg/m3 (22)
Pass through actual SO2Growing amount, predicts whether the disposal ability of desulphurization system is up to standard;
(3) dust discharge amount is predicted
Actual ash quantity A=Aar × 0.90 × Coal-fired capacity (23)
In formula, the percentage of Aar-mixed coal ash quantity;
Dust collection efficiency:η c=[1-exp (- A × K1×K2×K3)]×(KY×Kt)×100 (24)
In formula, η c are the efficiency of dust collection after correction;
A designs numerical constant for deduster;
K1, K2, K3 are respectively sulphur content, ash content, the correction coefficient of ratio resistance;
Dust emission concentration=0.9 × ash content Aar/100 × 106× (100- dust collection efficiencies)/100/ exhaust gas volumn, mg/m3
(25)
Pressure fan adaptive computation:
VPF=primary air ratio × Vk (26)
V in formulaPFFor air quantity, VkTo give amount of actual air for combustion;
The primary air flow that calculating is obtained is compared with primary air fan design load, judges the adaptability of blower fan;
Pressure fan adaptive computation:
VPF=(1- primary air ratios) × Vk × enters stove fuel quantity (27)
The air output that calculating is obtained is compared with pressure fan design load, judges the adaptability of blower fan;
Ash discharge residue extraction mechanism adaptive computation:
Slag amount=total lime-ash amount × (100- μ)/100 (28)
Table slag amount ratio μ and the relation of actual slagging in stove
Sequence number | Calculation formula | Adapt to interval |
1 | μ=10% | Actual slagging index Su in stove:<3.0 |
2 | μ=(5 × Su-5) % | Actual slagging index Su in stove:≥3.0 |
The slag amount that calculating is obtained is compared with design load, judges the adaptability of ash discharge residue extraction mechanism adaptability;
Intrinsic its economic prediction:
Intrinsic economy is tried to achieve by the weighted average of each single coal coal price in proportion:
Mh=X1/100·M1+X2/100·M2+…… (29)
MhThe actual coal price of-mixed coal, yuan/ton;
M1、M2...-feed coal 1,2 ... actual coal price, yuan/ton;
X1、X2...-feed coal 1,2 ... ratio, %;
The standard coal price for mixing burning coal and mixed coal is then tried to achieve as follows:
M1b=M1·29.27/(Qnet,ar)1(29)
M2b=M2·29.27/(Qnet,ar)2(29)
......
Mhb=Mh·29.27/(Qnet,ar)h(29)
In formula, M1b、M2b、MhbThe standard coal price of-feed coal 1,2 and mixed coal, yuan/ton;
(Qnet,ar)1、(Qnet,ar)2、(Qnet,ar)hThe low heat valve of-feed coal 1,2 and mixed coal, MJ/kg;
Performance driving economy is predicted;
Only in boiler accommodation, the change of ature of coal parameter is to the maximum boiler efficiency of economic influence and main auxiliary
Electromechanics consumption change carries out coal consumption variation prediction;
Δ MH=Δs MHglxl+ΔMHfjdh (30)
Wherein, Δ MHglxlInfluence of the boiler efficiency to coal consumption:
In formula, MHGross coal consumption rateFor design gross coal consumption rate, Δ MHfjdhInfluence of the subsidiary engine power consumption to coal consumption;
Considering the power consumption change of boiler major pant item includes:Coal pulverizer, pressure fan, air-introduced machine, primary air fan and desulfurization
The change of system boost blower fan power consumption;
Cost of electricity-generating refers to the cost that electricity is often spent in output, specific as follows:
Cost of electricity-generating=mixed coal coal price × 10-6× coal consumption/100, kw h/ members (32)
Further improve of the invention is that rear assessment system module includes,
Security evaluation submodule, is assessed for metal pipe-wall temperature, ash erosion and fouling characteristics;
Submodule is assessed in environmental protection, for the assessment of the NOx feature of environmental protection, SO2The feature of environmental protection is assessed and the flue dust feature of environmental protection is assessed;
Economic evaluation submodule, for boiler efficiency, coal consumption assessment, main boiler accessory machinery power consumption, desulfurization and denitrating system
Operating cost is assessed.
Further improve of the invention is, with the system in rear assessment system collection SIS in Thermal Power PlantQ
Whether corresponding real time data evaluation scheme is feasible, firstly evaluates the safety and the feature of environmental protection of the program, if not meeting power plant's mark
Accurate situation is determined as infeasible scheme, and burning experience storehouse failure case is mixed in typing;Scheme foundation to meeting safety and the feature of environmental protection
Power plant's standard continues to judge its economy, and the scheme poor to economy is determined as basic feasible solution scheme, outstanding to economy
Scheme is determined as proposed projects, and burning experience storehouse successful case is mixed in the equal typing of both the above scheme.
The present invention has following beneficial effect:
The 1st, coal mixing combustion safe operation suggestion can be provided for unit, and assess unit safety operation level in real time, it is ensured that
The operation of unit long-term safety;
2nd, coal source channel is widened, coal market is adapted to for greater flexibility, the utilization rate of economic coal is effectively improved, fuel is reduced
Cost;
3rd, Power Plant Fuel managerial skills are improved, Optimized Coal Blending mixes the burning method of operation, is that unit improves economic operation level, carries
For effective technological guidance;
4th, by Rational mixed coal, can effectively it reduce and management and control atmosphere pollution SO2、NOxAnd the discharge of dust, it is ensured that machine
Group environmental protection operation.
Brief description of the drawings:
Fig. 1 coal mixing combustion forecasting system flow charts;
Fig. 2 mixes burning scheme evaluation flow chart online.
Embodiment:
The present invention is described in detail with reference to the accompanying drawings and examples.
As shown in figure 1, the pre- flow gauge of coal mixing combustion:
1. start coal mixing combustion prediction, first from Chinese steam coal database selection 1-3 kind lists coal input coal data.
2. selection mix the boiler plant information of burning, and inputs service condition.
3. selection mixes burning mode to premix or divide a mill to mix burning.
4. automatic assignment is carried out to chlorine adding ratio using the method for exhaustion.
5. call coal-fired ature of coal to calculate mixed coal ature of coal is calculated and made an appraisal with coal evaluation submodule.
6. calculating the 2-8 modules of coal mixing combustion prediction respectively under the conditions of the chlorine adding ratio, and result of calculation is recorded with commenting
Valency conclusion.
7. circulation is calculated until the calculating of all chlorine adding ratios is finished.
8. pair all chlorine adding ratio schemes judge, it is every do not meet that safety should be determined as with the scheme of the feature of environmental protection can not
Row scheme.To existing compared with minor issue, such as combustion stability is general, unit on-load ability is poor, mixed coal abrasiveness height
Scheme is determined as basic feasible solution scheme.Proposed projects is determined as to the scheme without any problem.Afterwards in proposed projects
The minimum scheme of selection cost of electricity-generating is defined as preferred plan.
As shown in Fig. 2 after line mixes burning scheme estimation flow:
1. it is selected it is predicted that preferred plan or basic feasible solution scheme it is commented according to power plant's SIS system operation datas
Estimate.
2. the historical period of selection scheme operation and the operational factor for gathering the period.
3. assessment system submodule 1-2 assesses the safety and the feature of environmental protection of the program after investigation, if there is non-compliant feelings
Condition is determined as infeasible scheme, and burning experience storehouse failure case is mixed in typing.
4. the scheme of pair safety and the feature of environmental protection continues to judge its economy, the scheme poor to economy is judged to substantially may be used
Row scheme, the scheme outstanding to economy is determined as proposed projects, and burning experience storehouse successful case is mixed in the equal typing of both the above scheme.
Specifically, after a kind of band of the invention assessment system coal mixing combustion forecast system, including coal mixing combustion module with
Assessment system module afterwards;Wherein, coal mixing combustion module is used to formulate coal mixing combustion scheme, and rear assessment system module is matched somebody with somebody for checking
Coal mixes the correctness for burning prediction module conclusion.
Further, coal mixing combustion prediction module includes coal-fired ature of coal calculating and coal evaluation submodule, for mixed coal ature of coal
Parameter linear model is calculated, ature of coal parameter non-linear model is calculated and coal is evaluated;
Coal-fired spontaneous combustion predicts submodule with mobility, evaluates what submodule was obtained with coal for being calculated according to coal-fired ature of coal
Ature of coal parameter, which is calculated, obtains mixed coal ignition quality, coal-fired mobility prediction;
Pulverized coal preparation system runnability predicts submodule, evaluates what submodule was obtained with coal for being calculated according to coal-fired ature of coal
Ature of coal parameter calculates and obtains Mill output, coal dust explosion characteristic, coal pulverizer abrasive article life-span;
Burning, slagging trend prediction submodule, are obtained for being calculated according to coal-fired ature of coal with coal evaluation submodule in stove
Ature of coal parameter calculate obtain boiler minimum steady combustion load, uncompleted burned carbon heat loss, burner hearth/screen area slagging trend prediction;
Submodule is predicted in pollutant emission, and the ature of coal ginseng that submodule is obtained is evaluated with coal for being calculated according to coal-fired ature of coal
Number calculating obtains NOXDischarge capacity, SO2Discharge capacity, dust discharge amount prediction;
Boiler major pant item adaptive forecasting submodule, is obtained for being calculated according to coal-fired ature of coal with coal evaluation submodule
Ature of coal parameter calculate obtain pressure fan, primary air fan, deashing device, residue extraction mechanism adaptive forecasting;
Power plant's performance driving economy prediction submodule, the coal that submodule is obtained is evaluated for being calculated according to coal-fired ature of coal with coal
Matter parameter, which is calculated, obtains intrinsic economy, performance driving economy prediction.
Coal-fired ature of coal is calculated to be evaluated in submodule with coal, and using GB/T7562-98 standards, coal is evaluated, fired
Ature of coal parameter linear model is as follows during coal ature of coal is calculated:
(1) weighted average linear relationship
X=(rAXA+rBXB+rCXC)/(rA+rB+rC) (1)
In formula, X, linear ature of coal parameter;R is mixed coal ratio;
(2) ash content weighted average linear relationship
X=(rAAar,AXA+rBAar,BXB+rCAar,CXC)/(rAAar,A+rBAar,B+rCAar,C) (2)
In formula, Aar is As-received ash content;
Ature of coal parameter non-linear model is as follows:
(1) burning performance parameter nonlinear model
Y=A0+A1 × X1+A2 × X2+ ...+A9 × X9 (3)
It is above-mentioned each influence factor or its group that wherein Y, which represents Ignition Temperature for Blended Coal IT, burn-off rate Bp and slagging index Sc, Xi,
Close, Ai is coefficient, each combustibility index and its influence factor are listed in table 1, and regression coefficient is fitted by experiment, and draws each burning
Blended Coal Combustion performance evaluation after index, is carried out according to GB/T7562-98 standards;
The recurrence factor of the Blended Coal Combustion index of table 1
Coefficient A | A0 | A1 | A2 | A3 | A4 | A5 | A6 | A7 | A8 | A9 |
Factor Xi | C | Vdaf | Qnet,ar | Aar | Mt | Ratio1 | Vdaf/Aar | Vdaf/Mt | Qnet,ar/Aar | Qnet,ar/Mt |
Note 1:Ratio, which refers to, to be mixed in burning coal with respect to the coal ratio preferably burnt;
(2) other ature of coal parameter non-linear models
Maximum coal ash ratio resistance R=(10.23+0.0491 × Al2O3-0.0342×Cfh)10 (4)
In formula, Al2O3For mixed coal ash component;CfhFor unburned combustible in fly ash, %;
The mixed coal ature of coal output table of table 2 and ature of coal collect with coal characteristic index calculating method
Mixed coal blast, ignition quality are calculated as follows:
In formula, KdThe index of expolsibility of-coal dust;VdThe drying base volatile matter of-coal, Vd=Vdaf × (100-Mt)/(100-
Aar-Mt), %;VVol, queThe lower limit of flammable volatile matter needed for burning, % when-consideration ash and coke;
Vvol=(1260/Qvol)×100 (7)
Qvol=(QNet, v, daf-78.50×4.1816×FCdaf)/Vdaf (8)
FCdaf=1-Vdaf (9)
In formula, Vvol- do not consider ash and during coke flammable volatile matter needed for burning lower limit, %;QvolThe heat of-volatile matter
Value, kJ/kg;QNet, v, dafThe dry ash free basis low heat valve of-coal, kJ/kg;FCdafThe dry ash free basis fixed carbon of-coal contains
Amount;VdafThe dry ash free basis volatile matter content of-coal;
The index of expolsibility K of experiment coal dust is calculated using above-mentioned formuladValue is bigger, and explosion tendency is more serious, and criterion is as follows:
The index of expolsibility of the coal dust of table 3 and the relation of raw coal spontaneous combustion characteristic
The index of expolsibility of coal dust | The explosivity of coal dust | The spontaneous combustion tendency of raw coal | Raw coal pilling up time |
Kd<1.0 | It is low | It is low | Do not limit |
1.0<Kd<3.0 | In | It is medium | Do not limit |
Kd≥3.0 | Easily | Easily | In 1 month |
Coal-fired mobility prediction:
Mf=100 × (Mt-Mad)/(100-Mad), % (10)
MfIt is to the discrimination standard of raw coal mobility:
Mf≤ 8.0% defeated coal is normal
8%<Mf≤ 12.0% is likely to occur run coal bin coal breakage blockage
Mf> 12.0% is difficult to safe operation
Mill output is calculated
Flour mill is exerted oneself=Max (BM, BM,d) (11)
(1) B that exerts oneself is groundMCalculate
The modified computing formulae that medium-speed pulverizer grinding is exerted oneself is as follows:
BM=BMO×fH×fR×fM×fA×fg×fe (12)
In formula, BMO- coal pulverizer is exerted oneself substantially, fH、fR、fm、fa、fg、fe- it is respectively grindability, fineness of pulverized coal, raw coal
Moisture content, original coal ash part, raw coal size and part of milling are exerted oneself when wearing up to the middle and later periods reduces the correction factor to pulverizer capacity;
(2) drying capacity of pulverizer BM,dCalculate:
The drying capacity of pulverizer of table 5 is calculated
The coal pulverizer abrasive article life-span calculates:
Coal pulverizer abrasive article life-span=137.34 × Ke4–2257×Ke3+13812×Ke2- 38751 × Ke+48703 is small
When;
Boiler minimum steady fires carry calculation:
(1) pre- blending is burnt
In formula, IT-breeze airflow ignition temperature, DEG C;Qnet,adThe empty butt low heat valve of-coal sample, MJ/kg;qF=
qF is designed- boiler at full capacity under design furnace cross, kW/m2;
Qnet,ad={ (Qnet,ar×1000+25Mt)×(100-Mad)/(100-Mt)-25×Mad/4.1816}/1000
(14)
(2) mill is divided to mix burning
The Dmin of each single fire raw coal is calculated, the index of stability Dminh of mixed coal is calculated when carrying out the mill operation of n platforms as the following formula:
Dminh=(Dmin1×Q1+Dmin2×Q2+......+DminN × Qn)/(Q1+Q2+.....+Qn), %
In formula, Dmin1~DminN-First is milled to n-th coal-fired index of stability that catches fire of mill, is calculated by formula (13);Q1
~Qn-First is milled to the coefficient of n-th coal-fired index of stability that catches fire of mill;
Uncompleted burned carbon heat loss is calculated:
(1) pre- blending is burnt
In formula, qV- boiler actual heating load parameter, qV=actual load/BMCR operating modes thermic load × qV,BMCR;qF- pot
Stove actual heating load parameter, qF=actual load/BMCR operating modes thermic load × qF,BMCR, B2 is the burn-off rate of operating mode two;
(2) mill is divided to mix burning
Distance of each mill burner away from screen bottom determines the after-flame degree of the coal-grinding coal, mixed coal when calculating the mill operation of n platforms
q4h:
Q4h=(q41/L1+q42/L2+ ...+q4n/Ln)/(1/L1+1/L2+ ...+1/Ln), % (16)
In formula, q41~~q4n-First is milled to n-th coal-fired q4 value of mill;L1~Ln-it is respectively first layer and the
N-layer burner is milled to the distance at screen bottom;
The slagging trend prediction in burner hearth/screen area:
(1) pre- blending is burnt
Premix mode lower hearth has identical slagging trend with screen area, and Boiler Furnace slagging characteristic is differentiated with slagging index Su,
Calculation formula is as follows:
In formula, SU coals- be coal sample slagging index;
qF- negative the kW/m of section of burner hearth heat under the corresponding load of boiler2, qF=actual load/BMCR operating modes thermic load ×
qF,BMCR;
The ash erosion index and slag formation at platen zone index calculated is by following grade discrimination:
Su | More than 5 | 5-4 | 4-3 | 3-2 | Less than 2 |
Differentiate grade | Seriously | It is high | Middle height | In | It is low |
(2) mill is divided to mix burning
Mill is divided to mix under burning mode, the Su that Boiler Furnace slagging index is directly calculated with mixed coal data;And screen during the mill operation of n platforms
Area slagging index Suh is calculated as follows:
Suh=(Su1 × Q1+Su2 × Q2+ ...+Sun × Qn)/(Q1+Q2+ ...+Qn) (18)
In formula, Su1~Sun-be milled to n-th coal-fired slagging index value of mill for First;
Q1~Qn-coal-fired influence the coefficient to slag formation at platen zone of difference mill;
NOXDischarge capacity, SO2Discharge capacity, dust discharge amount prediction are calculated;
(1) NOx emission predictive
NOx=(1182.978 × Nar- 0.9338934 × Vdaf×Qnet,ar+0.0063/Vdaf- 17.021/Vdaf/Nar+
491.9144)×FH×FO2×K,mg/m3 (19)
In formula, FH- it is load correction value;
FO2- it is operation oxygen amount correction value;
K-and it is unit correction value, it is modified by calculated value with actual value gap;
By actual NOx generation amount, predict whether the disposal ability of denitrating system is up to standard, no denitrating system then judges
Whether NOx discharge is exceeded;
(2)SO2Forecasting of discharged quantity
From desulfurization degree ηSCalculation formula it is as follows:
ηS=33.31-0.925 × Qnet, ar)+7.62 × Ks,self, % (20)
In formula, Ks,self, the calcium to sulphur mole ratio of coal itself, Ks,self=0.00571 × 0.90 × Aar×CaO/St,ar;
Theoretical SO2Discharge capacity SO2' calculated as the following formula:
SO2'=20000 × St,ar/Vgy,mg/m3 (21)
In formula, Vgy- theory dry flue gas amount, m3/ kg, Vgy=1.866 × (Car+0.375×St,ar)/100+0.79×Vgk
+0.4×Vgk;
Vgk- theory dry air amount, m3/ kg, Vgk=0.089 × (Car+0.375 × St,ar)+0.265×Har-0.0333
×Oar;
Then actual SO2Discharge capacity is:
SO2=(100- ηS)/100×SO2', mg/m3 (22)
Pass through actual SO2Growing amount, predicts whether the disposal ability of desulphurization system is up to standard;
(3) dust discharge amount is predicted
Actual ash quantity A=Aar × 0.90 × Coal-fired capacity (23)
In formula, the percentage of Aar-mixed coal ash quantity;
Dust collection efficiency:η c=[1-exp (- A × K1×K2×K3)]×(KY×Kt)×100 (24)
In formula, η c are the efficiency of dust collection after correction;
A designs numerical constant for deduster;
K1, K2, K3 are respectively sulphur content, ash content, the correction coefficient of ratio resistance;
Dust emission concentration=0.9 × ash content Aar/100 × 106× (100- dust collection efficiencies)/100/ exhaust gas volumn, mg/m3
(25)
Pressure fan adaptive computation:
VPF=primary air ratio × Vk (26)
V in formulaPFFor air quantity, VkTo give amount of actual air for combustion;
The primary air flow that calculating is obtained is compared with primary air fan design load, judges the adaptability of blower fan;
Pressure fan adaptive computation:
VPF=(1- primary air ratios) × Vk × enters stove fuel quantity (27)
The air output that calculating is obtained is compared with pressure fan design load, judges the adaptability of blower fan;
Ash discharge residue extraction mechanism adaptive computation:
Slag amount=total lime-ash amount × (100- μ)/100 (28)
Table slag amount ratio μ and the relation of actual slagging in stove
Sequence number | Calculation formula | Adapt to interval |
1 | μ=10% | Actual slagging index Su in stove:<3.0 |
2 | μ=(5 × Su-5) % | Actual slagging index Su in stove:≥3.0 |
The slag amount that calculating is obtained is compared with design load, judges the adaptability of ash discharge residue extraction mechanism adaptability;
Intrinsic its economic prediction:
Intrinsic economy is tried to achieve by the weighted average of each single coal coal price in proportion:
Mh=X1/100·M1+X2/100·M2+…… (29)
MhThe actual coal price of-mixed coal, yuan/ton;
M1、M2...-feed coal 1,2 ... actual coal price, yuan/ton;
X1、X2...-feed coal 1,2 ... ratio, %;
The standard coal price for mixing burning coal and mixed coal is then tried to achieve as follows:
M1b=M1·29.27/(Qnet,ar)1(29)
M2b=M2·29.27/(Qnet,ar)2(29)
......
Mhb=Mh·29.27/(Qnet,ar)h(29)
In formula, M1b、M2b、MhbThe standard coal price of-feed coal 1,2 and mixed coal, yuan/ton;
(Qnet,ar)1、(Qnet,ar)2、(Qnet,ar)hThe low heat valve of-feed coal 1,2 and mixed coal, MJ/kg;
Performance driving economy is predicted;
Only in boiler accommodation, the change of ature of coal parameter is to the maximum boiler efficiency of economic influence and main auxiliary
Electromechanics consumption change carries out coal consumption variation prediction;
Δ MH=Δs MHglxl+ΔMHfjdh (30)
Wherein, Δ MHglxlInfluence of the boiler efficiency to coal consumption:
In formula, MHGross coal consumption rateFor design gross coal consumption rate, Δ MHfjdhInfluence of the subsidiary engine power consumption to coal consumption;
Considering the power consumption change of boiler major pant item includes:Coal pulverizer, pressure fan, air-introduced machine, primary air fan and desulfurization
The change of system boost blower fan power consumption;
Cost of electricity-generating refers to the cost that electricity is often spent in output, specific as follows:
Cost of electricity-generating=mixed coal coal price × 10-6× coal consumption/100, kw h/ members (32)
Further, rear assessment system module includes security evaluation submodule, for metal pipe-wall temperature, ash erosion with being stained with
Dirty characteristic evaluation;
Submodule is assessed in environmental protection, for the assessment of the NOx feature of environmental protection, SO2The feature of environmental protection is assessed and the flue dust feature of environmental protection is assessed;
Economic evaluation submodule, for boiler efficiency, coal consumption assessment, main boiler accessory machinery power consumption, desulfurization and denitrating system
Operating cost is assessed.
Wherein, rear assessment system collection SIS in Thermal Power PlantQ (Supervisory Information
System in Plant Level, abbreviation SIS) in real time data evaluation scheme corresponding with the system it is whether feasible, comment first
Estimate the safety and the feature of environmental protection of the program, if there is the situation for not meeting power plant's standard to be determined as infeasible scheme, burning experience is mixed in typing
Storehouse failure case;The scheme for meeting safety and the feature of environmental protection is continued to judge its economy according to power plant's standard, it is poor to economy
Scheme be determined as basic feasible solution scheme, the scheme outstanding to economy is determined as proposed projects, the equal typing of both the above scheme
Mix burning experience storehouse successful case.
Claims (6)
1. the coal mixing combustion forecast system of assessment system after a kind of band, it is characterised in that including coal mixing combustion module and rear assessment
System module;Wherein, coal mixing combustion module is used to formulate coal mixing combustion scheme, and rear assessment system module is used to verify coal mixing combustion
The correctness of prediction module conclusion.
2. according to claim 1 after a kind of band assessment system coal mixing combustion forecast system, it is characterised in that coal mixing combustion
Prediction module includes
Coal-fired ature of coal is calculated evaluates submodule with coal, for the calculating of mixed coal ature of coal parameter linear model, ature of coal parametrical nonlinearity
Model is calculated and coal is evaluated;
Coal-fired spontaneous combustion predicts submodule with mobility, and the ature of coal that submodule is obtained is evaluated with coal for being calculated according to coal-fired ature of coal
Parameter, which is calculated, obtains mixed coal ignition quality, coal-fired mobility prediction;
Pulverized coal preparation system runnability predicts submodule, and the ature of coal that submodule is obtained is evaluated with coal for being calculated according to coal-fired ature of coal
Parameter calculates and obtains Mill output, coal dust explosion characteristic, coal pulverizer abrasive article life-span;
Burning, slagging trend prediction submodule, the coal that submodule is obtained is evaluated for being calculated according to coal-fired ature of coal with coal in stove
Matter parameter, which is calculated, obtains boiler minimum steady combustion load, uncompleted burned carbon heat loss, the slagging trend prediction in burner hearth/screen area;
Submodule is predicted in pollutant emission, based on the ature of coal parameter obtained with coal evaluation submodule is calculated according to coal-fired ature of coal
Calculation obtains NOXDischarge capacity, SO2Discharge capacity, dust discharge amount prediction;
Boiler major pant item adaptive forecasting submodule, the coal that submodule is obtained is evaluated for being calculated according to coal-fired ature of coal with coal
Matter parameter calculates and obtains pressure fan, primary air fan, deashing device, residue extraction mechanism adaptive forecasting;
Power plant's performance driving economy prediction submodule, the ature of coal ginseng that submodule is obtained is evaluated for being calculated according to coal-fired ature of coal with coal
Number calculating obtains intrinsic economy, performance driving economy prediction.
3. according to claim 2 after a kind of band assessment system coal mixing combustion forecast system, it is characterised in that coal-fired ature of coal
Calculate and evaluated with coal in submodule, using GB/T7562-98 standards, coal is evaluated, ature of coal during coal-fired ature of coal is calculated
Parameter linear model is as follows:
(1) weighted average linear relationship
X=(rAXA+rBXB+rCXC)/(rA+rB+rC) (1)
In formula, X, linear ature of coal parameter;R is mixed coal ratio;
(2) ash content weighted average linear relationship
X=(rAAar,AXA+rBAar,BXB+rCAar,CXC)/(rAAar,A+rBAar,B+rCAar,C) (2)
In formula, Aar is As-received ash content;
Ature of coal parameter non-linear model is as follows:
(1) burning performance parameter nonlinear model
Y=A0+A1 × X1+A2 × X2+ ...+A9 × X9 (3)
Wherein Y represents Ignition Temperature for Blended Coal IT, burn-off rate Bp and slagging index Sc, and Xi is above-mentioned each influence factor or its combination,
Ai is coefficient, and each combustibility index and its influence factor are listed in table 1, and regression coefficient is fitted by experiment, and is drawn each burning and referred to
Blended Coal Combustion performance evaluation after mark, is carried out according to GB/T7562-98 standards;
The recurrence factor of the Blended Coal Combustion index of table 1
Note 1:Ratio, which refers to, to be mixed in burning coal with respect to the coal ratio preferably burnt;
(2) other ature of coal parameter non-linear models
Maximum coal ash ratio resistance R=(10.23+0.0491 × Al2O3-0.0342×Cfh)10 (4)
In formula, Al2O3For mixed coal ash component;CfhFor unburned combustible in fly ash, %;
The mixed coal ature of coal output table of table 2 and ature of coal collect with coal characteristic index calculating method
4. according to claim 3 after a kind of band assessment system coal mixing combustion forecast system, it is characterised in that
Mixed coal blast, ignition quality are calculated as follows:
<mrow>
<msub>
<mi>K</mi>
<mi>d</mi>
</msub>
<mo>=</mo>
<mfrac>
<msub>
<mi>V</mi>
<mi>d</mi>
</msub>
<msub>
<mi>V</mi>
<mrow>
<mi>v</mi>
<mi>o</mi>
<mi>l</mi>
<mo>,</mo>
<mi>q</mi>
<mi>u</mi>
<mi>e</mi>
</mrow>
</msub>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
2
In formula, KdThe index of expolsibility of-coal dust;VdThe drying base volatile matter of-coal, Vd=Vdaf × (100-Mt)/(100-Aar-
Mt), %;VVol, queThe lower limit of flammable volatile matter needed for burning, % when-consideration ash and coke;
<mrow>
<msub>
<mi>V</mi>
<mrow>
<mi>v</mi>
<mi>o</mi>
<mi>l</mi>
<mo>,</mo>
<mi>q</mi>
<mi>u</mi>
<mi>e</mi>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>V</mi>
<mrow>
<mi>v</mi>
<mi>o</mi>
<mi>l</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>+</mo>
<mfrac>
<mrow>
<mn>100</mn>
<mo>-</mo>
<msub>
<mi>V</mi>
<mi>d</mi>
</msub>
</mrow>
<msub>
<mi>V</mi>
<mi>d</mi>
</msub>
</mfrac>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mn>100</mn>
<mo>+</mo>
<msub>
<mi>V</mi>
<mrow>
<mi>v</mi>
<mi>o</mi>
<mi>l</mi>
</mrow>
</msub>
<mfrac>
<mrow>
<mn>100</mn>
<mo>-</mo>
<msub>
<mi>V</mi>
<mi>d</mi>
</msub>
</mrow>
<msub>
<mi>V</mi>
<mi>d</mi>
</msub>
</mfrac>
</mrow>
</mfrac>
<mn>100</mn>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
</mrow>
Vvol=(1260/Qvol)×100 (7)
Qvol=(QNet, v, daf-78.50×4.1816×FCdaf)/Vdaf (8)
FCdaf=1-Vdaf (9)
In formula, Vvol- do not consider ash and during coke flammable volatile matter needed for burning lower limit, %;QvolThe calorific value of-volatile matter, kJ/
kg;QNet, v, dafThe dry ash free basis low heat valve of-coal, kJ/kg;FCdafThe dry ash free basis of-coal fixes carbon content;Vdaf-
The dry ash free basis volatile matter content of coal;
The index of expolsibility K of experiment coal dust is calculated using above-mentioned formuladValue is bigger, and explosion tendency is more serious, and criterion is as follows:
The index of expolsibility of the coal dust of table 3 and the relation of raw coal spontaneous combustion characteristic
Coal-fired mobility prediction:
Mf=100 × (Mt-Mad)/(100-Mad), % (10)
MfIt is to the discrimination standard of raw coal mobility:
Mf≤ 8.0% defeated coal is normal
8%<Mf≤ 12.0% is likely to occur run coal bin coal breakage blockage
Mf> 12.0% is difficult to safe operation
Mill output is calculated
Flour mill is exerted oneself=Max (BM, BM,d) (11)
(1) B that exerts oneself is groundMCalculate
The modified computing formulae that medium-speed pulverizer grinding is exerted oneself is as follows:
BM=BMO×fH×fR×fM×fA×fg×fe (12)
In formula, BMO- coal pulverizer is exerted oneself substantially, fH、fR、fm、fa、fg、fe- it is respectively grindability, fineness of pulverized coal, raw coal water
Part, original coal ash part, raw coal size and part of milling are exerted oneself when wearing up to the middle and later periods reduces the correction factor to pulverizer capacity;
(2) drying capacity of pulverizer BM,dCalculate:
The drying capacity of pulverizer of table 5 is calculated
The coal pulverizer abrasive article life-span calculates:
Coal pulverizer abrasive article life-span=137.34 × Ke4–2257×Ke3+13812×Ke2- 38751 × Ke+48703, hour;
Boiler minimum steady fires carry calculation:
(1) pre- blending is burnt
<mrow>
<msub>
<mi>D</mi>
<mi>min</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mn>25.61</mn>
<mo>&times;</mo>
<msup>
<mi>IT</mi>
<mn>2.1825</mn>
</msup>
</mrow>
<mrow>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msub>
<mi>q</mi>
<mi>F</mi>
</msub>
<mo>&times;</mo>
<mn>1000</mn>
</mrow>
<mn>0.287</mn>
</mfrac>
<mo>)</mo>
</mrow>
<mn>1.2164</mn>
</msup>
<mo>&times;</mo>
<msup>
<msub>
<mi>Q</mi>
<mrow>
<mi>n</mi>
<mi>e</mi>
<mi>t</mi>
<mo>,</mo>
<mi>a</mi>
<mi>d</mi>
</mrow>
</msub>
<mn>0.5636</mn>
</msup>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>13</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, IT-breeze airflow ignition temperature, DEG C;Qnet,adThe empty butt low heat valve of-coal sample, MJ/kg;qF=
qF is designed- boiler at full capacity under design furnace cross, kW/m2;
Qnet,ad={ (Qnet,ar×1000+25Mt)×(100-Mad)/(100-Mt)-25×Mad/4.1816}/1000 (14)
(2) mill is divided to mix burning
The Dmin of each single fire raw coal is calculated, the index of stability Dminh of mixed coal is calculated when carrying out the mill operation of n platforms as the following formula:
Dminh=(Dmin1×Q1+Dmin2×Q2+......+DminN × Qn)/(Q1+Q2+.....+Qn), %
In formula, Dmin1~DminN-First is milled to n-th coal-fired index of stability that catches fire of mill, is calculated by formula (13);Q1~
Qn-First is milled to the coefficient of n-th coal-fired index of stability that catches fire of mill;
Uncompleted burned carbon heat loss is calculated:
(1) pre- blending is burnt
<mrow>
<msub>
<mi>q</mi>
<mn>4</mn>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msup>
<msub>
<mi>q</mi>
<mi>v</mi>
</msub>
<mn>1.9291</mn>
</msup>
<mo>&times;</mo>
<msup>
<mn>10</mn>
<mn>16</mn>
</msup>
<mo>&times;</mo>
<msup>
<mi>RI</mi>
<mn>1.4337</mn>
</msup>
</mrow>
<mrow>
<msup>
<msub>
<mi>q</mi>
<mi>F</mi>
</msub>
<mn>2.4550</mn>
</msup>
<mo>&times;</mo>
<msup>
<msub>
<mi>B</mi>
<mn>2</mn>
</msub>
<mn>9.48</mn>
</msup>
<mo>&times;</mo>
<msup>
<msub>
<mi>Q</mi>
<mrow>
<mi>n</mi>
<mi>e</mi>
<mi>t</mi>
<mo>,</mo>
<mi>a</mi>
<mi>d</mi>
</mrow>
</msub>
<mn>2.0921</mn>
</msup>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>15</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, qV- boiler actual heating load parameter, qV=actual load/BMCR operating modes thermic load × qV,BMCR;qF- boiler is real
Border thermic load parameter, qF=actual load/BMCR operating modes thermic load × qF,BMCR, B2 is the burn-off rate of operating mode two;
(2) mill is divided to mix burning
Distance of each mill burner away from screen bottom determines the after-flame degree of the coal-grinding coal, the q4h of mixed coal when calculating the mill operation of n platforms:
Q4h=(q41/L1+q42/L2+ ...+q4n/Ln)/(1/L1+1/L2+ ...+1/Ln), % (16)
In formula, q41~~q4n-First is milled to n-th coal-fired q4 value of mill;L1~Ln-it is respectively first layer and n-th layer
Burner is milled to the distance at screen bottom;
The slagging trend prediction in burner hearth/screen area:
(1) pre- blending is burnt
Premix mode lower hearth has identical slagging trend with screen area, and Boiler Furnace slagging characteristic is differentiated with slagging index Su, calculates
Formula is as follows:
In formula, SU coals- be coal sample slagging index;
qF- negative the kW/m of section of burner hearth heat under the corresponding load of boiler2, qF=actual load/BMCR operating modes thermic load ×
qF,BMCR;
The ash erosion index and slag formation at platen zone index calculated is by following grade discrimination:
(2) mill is divided to mix burning
Mill is divided to mix under burning mode, the Su that Boiler Furnace slagging index is directly calculated with mixed coal data;And n platforms mill operation Shi Ping areas knot
Slagging index Suh is calculated as follows:
Suh=(Su1 × Q1+Su2 × Q2+ ...+Sun × Qn)/(Q1+Q2+ ...+Qn) (18)
In formula, Su1~Sun-be milled to n-th coal-fired slagging index value of mill for First;
Q1~Qn-coal-fired influence the coefficient to slag formation at platen zone of difference mill;
NOXDischarge capacity, SO2Discharge capacity, dust discharge amount prediction are calculated;
(1) NOx emission predictive
NOx=(1182.978 × Nar- 0.9338934 × Vdaf×Qnet,ar+0.0063/Vdaf- 17.021/Vdaf/Nar+
491.9144)×FH×FO2×K,mg/m3 (19)
In formula, FH- it is load correction value;
FO2- it is operation oxygen amount correction value;
K-and it is unit correction value, it is modified by calculated value with actual value gap;
By actual NOx generation amount, predict whether the disposal ability of denitrating system is up to standard, no denitrating system then judges that NOx is arranged
It is high-volume whether exceeded;
(2)SO2Forecasting of discharged quantity
From desulfurization degree ηSCalculation formula it is as follows:
ηS=33.31-0.925 × Qnet, ar)+7.62 × Ks,self, % (20)
In formula, Ks,self, the calcium to sulphur mole ratio of coal itself, Ks,self=0.00571 × 0.90 × Aar×CaO/St,ar;
Theoretical SO2Discharge capacity SO2' calculated as the following formula:
SO2'=20000 × St,ar/Vgy,mg/m3 (21)
In formula, Vgy- theory dry flue gas amount, m3/ kg, Vgy=1.866 × (Car+0.375×St,ar)/100+0.79×Vgk+0.4
×Vgk;
Vgk- theory dry air amount, m3/ kg, Vgk=0.089 × (Car+0.375 × St,ar)+0.265×Har-0.0333×Oar;
Then actual SO2Discharge capacity is:
SO2=(100- ηS)/100×SO2', mg/m3 (22)
Pass through actual SO2Growing amount, predicts whether the disposal ability of desulphurization system is up to standard;
(3) dust discharge amount is predicted
Actual ash quantity A=Aar × 0.90 × Coal-fired capacity (23)
In formula, the percentage of Aar-mixed coal ash quantity;
Dust collection efficiency:η c=[1-exp (- A × K1×K2×K3)]×(KY×Kt)×100 (24)
In formula, η c are the efficiency of dust collection after correction;
A designs numerical constant for deduster;
K1, K2, K3 are respectively sulphur content, ash content, the correction coefficient of ratio resistance;
Dust emission concentration=0.9 × ash content Aar/100 × 106× (100- dust collection efficiencies)/100/ exhaust gas volumn, mg/m3 (25)
Pressure fan adaptive computation:
VPF=primary air ratio × Vk (26)
V in formulaPFFor air quantity, VkTo give amount of actual air for combustion;
The primary air flow that calculating is obtained is compared with primary air fan design load, judges the adaptability of blower fan;
Pressure fan adaptive computation:
VPF=(1- primary air ratios) × Vk × enters stove fuel quantity (27)
The air output that calculating is obtained is compared with pressure fan design load, judges the adaptability of blower fan;
Ash discharge residue extraction mechanism adaptive computation:
Slag amount=total lime-ash amount × (100- μ)/100 (28)
Table slag amount ratio μ and the relation of actual slagging in stove
The slag amount that calculating is obtained is compared with design load, judges the adaptability of ash discharge residue extraction mechanism adaptability;
Intrinsic its economic prediction:
Intrinsic economy is tried to achieve by the weighted average of each single coal coal price in proportion:
Mh=X1/100·M1+X2/100·M2+…… (29)
MhThe actual coal price of-mixed coal, yuan/ton;
M1、M2...-feed coal 1,2 ... actual coal price, yuan/ton;
X1、X2...-feed coal 1,2 ... ratio, %;
The standard coal price for mixing burning coal and mixed coal is then tried to achieve as follows:
M1b=M1·29.27/(Qnet,ar)1(29)
M2b=M2·29.27/(Qnet,ar)2(29)
......
Mhb=Mh·29.27/(Qnet,ar)h(29)
In formula, M1b、M2b、MhbThe standard coal price of-feed coal 1,2 and mixed coal, yuan/ton;
(Qnet,ar)1、(Qnet,ar)2、(Qnet,ar)hThe low heat valve of-feed coal 1,2 and mixed coal, MJ/kg;
Performance driving economy is predicted;
Only in boiler accommodation, the change of ature of coal parameter is to the maximum boiler efficiency of economic influence and major pant item electricity
Consumption change carries out coal consumption variation prediction;
Δ MH=Δs MHglxl+ΔMHfjdh (30)
Wherein, Δ MHglxlInfluence of the boiler efficiency to coal consumption:
In formula, MHGross coal consumption rateFor design gross coal consumption rate, Δ MHfjdhInfluence of the subsidiary engine power consumption to coal consumption;
Considering the power consumption change of boiler major pant item includes:Coal pulverizer, pressure fan, air-introduced machine, primary air fan and desulphurization system
The change of booster fan power consumption;
Cost of electricity-generating refers to the cost that electricity is often spent in output, specific as follows:
Cost of electricity-generating=mixed coal coal price × 10-6× coal consumption/100, kw h/ members (32)
5. according to claim 2 after a kind of band assessment system coal mixing combustion forecast system, it is characterised in that it is rear to assess system
System module includes,
Security evaluation submodule, is assessed for metal pipe-wall temperature, ash erosion and fouling characteristics;
Submodule is assessed in environmental protection, for the assessment of the NOx feature of environmental protection, SO2The feature of environmental protection is assessed and the flue dust feature of environmental protection is assessed;
Economic evaluation submodule, for the operation of boiler efficiency, coal consumption assessment, main boiler accessory machinery power consumption, desulfurization and denitrating system
Assessment of cost.
6. according to claim 5 after a kind of band assessment system coal mixing combustion forecast system, it is characterised in that it is rear to assess system
Whether real time data evaluation scheme corresponding with the system is feasible in system collection SIS in Thermal Power PlantQ, firstly evaluates
The safety and the feature of environmental protection of the program, if there is the situation for not meeting power plant's standard to be determined as infeasible scheme, burning experience storehouse is mixed in typing
Failure case;The scheme for meeting safety and the feature of environmental protection is continued to judge its economy according to power plant's standard, it is poor to economy
Scheme is determined as basic feasible solution scheme, and the scheme outstanding to economy is determined as proposed projects, and the equal typing of both the above scheme is mixed
Burning experience storehouse successful case.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710425337.0A CN107316104A (en) | 2017-06-07 | 2017-06-07 | The coal mixing combustion forecast system of assessment system after a kind of band |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710425337.0A CN107316104A (en) | 2017-06-07 | 2017-06-07 | The coal mixing combustion forecast system of assessment system after a kind of band |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107316104A true CN107316104A (en) | 2017-11-03 |
Family
ID=60183939
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710425337.0A Pending CN107316104A (en) | 2017-06-07 | 2017-06-07 | The coal mixing combustion forecast system of assessment system after a kind of band |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107316104A (en) |
Cited By (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108319790A (en) * | 2018-02-08 | 2018-07-24 | 西安热工研究院有限公司 | A kind of highlands boiler furnace thermic load parameters revision new method |
CN108764604A (en) * | 2018-04-04 | 2018-11-06 | 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 | Large-sized Coal-fired Power group pulverizing optimization control method based on Intelligent evolution algorithm |
CN109163324A (en) * | 2018-09-12 | 2019-01-08 | 广东电网有限责任公司 | A kind of appraisal procedure, device, equipment and the storage medium of sludge mixed burning boiler |
CN109447396A (en) * | 2018-09-14 | 2019-03-08 | 华电电力科学研究院有限公司 | A kind of method and system characterizing high analysis of complexity conclusion with low complex degree Coal Analysis result |
CN109506800A (en) * | 2018-12-18 | 2019-03-22 | 重庆邮电大学 | Dump temperature measurement system based on Thermistor Temperature Measurement |
CN110111030A (en) * | 2019-06-18 | 2019-08-09 | 华电国际电力股份有限公司技术服务分公司 | A kind of coal mixing combustion evaluation method and system |
CN110260303A (en) * | 2019-04-26 | 2019-09-20 | 华电电力科学研究院有限公司 | The analysis method that spoil influences 300MW grade recycle fluidized bed unit coal handling system and boiler operatiopn in fire coal |
CN110910032A (en) * | 2019-11-29 | 2020-03-24 | 华润电力技术研究院有限公司 | Coal quality index evaluation method and related device |
CN111274526A (en) * | 2020-01-19 | 2020-06-12 | 西安热工研究院有限公司 | Method for calculating ignition temperature of coal dust airflow of single coal |
CN111445142A (en) * | 2020-03-26 | 2020-07-24 | 华润电力技术研究院有限公司 | Fuel blending combustion evaluation method, system and device |
CN112146887A (en) * | 2020-09-11 | 2020-12-29 | 江苏方天电力技术有限公司 | Method and system for calculating minimum stable combustion load of coal-fired unit in real time |
CN112580890A (en) * | 2020-12-28 | 2021-03-30 | 湖南大唐先一科技有限公司 | Variable power generation cost prediction method and system for mixed coal burning of boiler for power generation |
CN112862632A (en) * | 2021-04-23 | 2021-05-28 | 南昌暖焰电力科技有限公司 | Method and system for blending and burning coal in thermal power plant |
CN113154372A (en) * | 2021-04-09 | 2021-07-23 | 西安热工研究院有限公司 | Method for safely and efficiently co-burning bituminous coal in lignite boiler |
CN113806935A (en) * | 2021-09-16 | 2021-12-17 | 西安热工研究院有限公司 | Method for calculating specific resistance of coal ash |
CN113887890A (en) * | 2021-09-16 | 2022-01-04 | 锐创理工科技(大连)有限公司 | Coal blending and burning optimization method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007115203A (en) * | 2005-10-24 | 2007-05-10 | Chugoku Electric Power Co Inc:The | Device, method and computer program for evaluating coal properties |
CN104615853A (en) * | 2014-12-31 | 2015-05-13 | 华中科技大学 | Thermal power generating unit coal blending co-combustion effect online evaluation method |
CN104992028A (en) * | 2015-07-17 | 2015-10-21 | 华北电力大学(保定) | Fossil power generation unit coal blending scheme acquisition method |
CN106557078A (en) * | 2015-09-25 | 2017-04-05 | 上海上电漕泾发电有限公司 | A kind of 1000MW units coal blending optimizing system |
-
2017
- 2017-06-07 CN CN201710425337.0A patent/CN107316104A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007115203A (en) * | 2005-10-24 | 2007-05-10 | Chugoku Electric Power Co Inc:The | Device, method and computer program for evaluating coal properties |
CN104615853A (en) * | 2014-12-31 | 2015-05-13 | 华中科技大学 | Thermal power generating unit coal blending co-combustion effect online evaluation method |
CN104992028A (en) * | 2015-07-17 | 2015-10-21 | 华北电力大学(保定) | Fossil power generation unit coal blending scheme acquisition method |
CN106557078A (en) * | 2015-09-25 | 2017-04-05 | 上海上电漕泾发电有限公司 | A kind of 1000MW units coal blending optimizing system |
Non-Patent Citations (3)
Title |
---|
国家能源局: "《中华人民共和国电力行业标准》", 23 August 2012 * |
姚伟: "火力发电厂燃煤安全高效洁净掺烧技术", 《豆丁网 HTTPS://WWW.DOCIN.COM/P-266241607.HTML》 * |
杨忠灿等: "电厂锅炉变煤种掺烧问题研究", 《中国电力》 * |
Cited By (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108319790B (en) * | 2018-02-08 | 2021-06-04 | 西安热工研究院有限公司 | Novel method for correcting heat load parameters of boiler furnace in plateau area |
CN108319790A (en) * | 2018-02-08 | 2018-07-24 | 西安热工研究院有限公司 | A kind of highlands boiler furnace thermic load parameters revision new method |
CN108764604A (en) * | 2018-04-04 | 2018-11-06 | 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 | Large-sized Coal-fired Power group pulverizing optimization control method based on Intelligent evolution algorithm |
CN109163324A (en) * | 2018-09-12 | 2019-01-08 | 广东电网有限责任公司 | A kind of appraisal procedure, device, equipment and the storage medium of sludge mixed burning boiler |
CN109447396A (en) * | 2018-09-14 | 2019-03-08 | 华电电力科学研究院有限公司 | A kind of method and system characterizing high analysis of complexity conclusion with low complex degree Coal Analysis result |
CN109506800A (en) * | 2018-12-18 | 2019-03-22 | 重庆邮电大学 | Dump temperature measurement system based on Thermistor Temperature Measurement |
CN110260303A (en) * | 2019-04-26 | 2019-09-20 | 华电电力科学研究院有限公司 | The analysis method that spoil influences 300MW grade recycle fluidized bed unit coal handling system and boiler operatiopn in fire coal |
CN110111030A (en) * | 2019-06-18 | 2019-08-09 | 华电国际电力股份有限公司技术服务分公司 | A kind of coal mixing combustion evaluation method and system |
CN110910032A (en) * | 2019-11-29 | 2020-03-24 | 华润电力技术研究院有限公司 | Coal quality index evaluation method and related device |
CN111274526A (en) * | 2020-01-19 | 2020-06-12 | 西安热工研究院有限公司 | Method for calculating ignition temperature of coal dust airflow of single coal |
CN111274526B (en) * | 2020-01-19 | 2023-05-02 | 西安热工研究院有限公司 | Calculation method for ignition temperature of single coal type pulverized coal airflow |
CN111445142A (en) * | 2020-03-26 | 2020-07-24 | 华润电力技术研究院有限公司 | Fuel blending combustion evaluation method, system and device |
CN111445142B (en) * | 2020-03-26 | 2023-04-18 | 华润电力技术研究院有限公司 | Fuel blending combustion evaluation method, system and device |
CN112146887A (en) * | 2020-09-11 | 2020-12-29 | 江苏方天电力技术有限公司 | Method and system for calculating minimum stable combustion load of coal-fired unit in real time |
CN112146887B (en) * | 2020-09-11 | 2022-05-17 | 江苏方天电力技术有限公司 | Method and system for calculating minimum stable combustion load of coal-fired unit in real time |
CN112580890A (en) * | 2020-12-28 | 2021-03-30 | 湖南大唐先一科技有限公司 | Variable power generation cost prediction method and system for mixed coal burning of boiler for power generation |
CN112580890B (en) * | 2020-12-28 | 2024-06-11 | 湖南大唐先一科技有限公司 | Method and system for predicting variable cost of power generation by blending and burning mixed coal of boiler for power generation |
CN113154372A (en) * | 2021-04-09 | 2021-07-23 | 西安热工研究院有限公司 | Method for safely and efficiently co-burning bituminous coal in lignite boiler |
CN112862632B (en) * | 2021-04-23 | 2021-07-20 | 华能国际电力股份有限公司大连电厂 | Method and system for blending and burning coal in thermal power plant |
CN112862632A (en) * | 2021-04-23 | 2021-05-28 | 南昌暖焰电力科技有限公司 | Method and system for blending and burning coal in thermal power plant |
CN113806935A (en) * | 2021-09-16 | 2021-12-17 | 西安热工研究院有限公司 | Method for calculating specific resistance of coal ash |
CN113887890A (en) * | 2021-09-16 | 2022-01-04 | 锐创理工科技(大连)有限公司 | Coal blending and burning optimization method |
CN113806935B (en) * | 2021-09-16 | 2024-03-12 | 西安热工研究院有限公司 | Calculation method of coal ash specific resistance |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107316104A (en) | The coal mixing combustion forecast system of assessment system after a kind of band | |
Carroll et al. | Emissions and efficiencies from the combustion of agricultural feedstock pellets using a small scale tilting grate boiler | |
CN101050853B (en) | Method for reducing nitrogen oxide of powder coal boiler mixed burning gas fuel | |
CN204187607U (en) | A kind of chain-grate boiler | |
Wang et al. | Design and key heating power parameters of a newly-developed household biomass briquette heating boiler | |
CN106153361A (en) | A kind of steam generator system energy consumption Intelligence Diagnosis and Potentials method and system | |
Hus et al. | Cofiring multiple opportunity fuels with coal at Bailly Generating Station | |
Roslyakov et al. | Optimal choice of the best available technologies for Russian thermal power plants | |
Carvalho et al. | Mixtures of heavy fuel oil and green hydrogen in combustion equipment: Energy analysis, emission estimates, and economic prospects | |
Fang et al. | Coal utilization in industrial boilers in China—a prospect for mitigating CO2 emissions | |
CN112580890B (en) | Method and system for predicting variable cost of power generation by blending and burning mixed coal of boiler for power generation | |
Osintsev et al. | Choice of Chelyabinsk and Kuznetsk coals as main fuel for steam generator PK-14 using elements of cluster analysis | |
CN205782978U (en) | The boiler that straw burns with domestic garbage mixing | |
CN104614197A (en) | Thermal efficient on-line monitoring method for furnace with multi-fuel combustion of pulverized coal and blast-furnace gas | |
Trinchenko et al. | Numerical Research of Nitrogen Oxides Formation for Justification of Modernization of P-49 Nazarovsky State District Power Plant Boiler on the Low-temperature Swirl Technology of Burning | |
Khoodaruth et al. | Performance analysis of a grate stoker coal-fired power plant based on the second law of thermodynamics | |
Rikker et al. | Features and problems of environmental pollution from decentralized heating systems (on the example of Chita) | |
CN217818025U (en) | Heating device shared by steam and natural gas | |
Hitchin | Is Europe ready for the IED and willing | |
PE | ENGINEERED MSW FUELS CAN REDUCE NOX AND OTHER EMISSIONS | |
Zhuikov et al. | An Experiment with Flame Combustion of a Mixture of Brown Coals at the Zheleznogorsk Combined Heat and Power Plant (CHPP) | |
Li et al. | Comparison of stoker feed boiler and circulating fluidized bedboiler | |
Li et al. | Combustion analysis and operation adjustment of thermal power unit | |
UPAKOOL et al. | Long-Term Regulation of the Energy Efficiency and Greenhouse Gas Emission for the Small Power Producer Thermal Power Plants | |
Gao | About suggestions for promoting development of biomass power generation based on green game |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171103 |