CN103939940A - Boiler combustion optimization and online energy efficiency evaluation system - Google Patents
Boiler combustion optimization and online energy efficiency evaluation system Download PDFInfo
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- CN103939940A CN103939940A CN201410134014.2A CN201410134014A CN103939940A CN 103939940 A CN103939940 A CN 103939940A CN 201410134014 A CN201410134014 A CN 201410134014A CN 103939940 A CN103939940 A CN 103939940A
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- 238000002485 combustion reaction Methods 0.000 title claims abstract description 54
- 238000005457 optimization Methods 0.000 title claims abstract description 34
- 238000011156 evaluation Methods 0.000 title claims abstract description 28
- 238000004891 communication Methods 0.000 claims abstract description 15
- 230000000694 effects Effects 0.000 claims abstract description 9
- 239000000446 fuel Substances 0.000 claims abstract description 9
- 238000012360 testing method Methods 0.000 claims description 22
- 239000003245 coal Substances 0.000 claims description 4
- RHZUVFJBSILHOK-UHFFFAOYSA-N anthracen-1-ylmethanolate Chemical compound C1=CC=C2C=C3C(C[O-])=CC=CC3=CC2=C1 RHZUVFJBSILHOK-UHFFFAOYSA-N 0.000 claims description 2
- 239000003830 anthracite Substances 0.000 claims description 2
- 239000002802 bituminous coal Substances 0.000 claims description 2
- 239000003250 coal slurry Substances 0.000 claims description 2
- 239000012530 fluid Substances 0.000 claims description 2
- 239000003077 lignite Substances 0.000 claims description 2
- 239000000843 powder Substances 0.000 claims description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 2
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- 238000004458 analytical method Methods 0.000 abstract description 4
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- 238000005516 engineering process Methods 0.000 description 5
- 230000001939 inductive effect Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000001105 regulatory effect Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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Abstract
The invention provides a boiler combustion optimization and online energy efficiency evaluation system which is formed by a boiler, a distributed control system, a communication module, a combustion optimization module, a database module and an energy efficiency evaluation module. Boiler operating parameters are obtained by the distributed control system and are transmitted to the combustion optimization module through the communication module, the combustion optimization module carries out optimizing calculation according to selected boiler parameters such as boiler combustion modes, types of fuel and boiler outlet working media to control combustion optimization of the boiler, then data are stored in the database module, the energy efficiency evaluation module of the boiler conducts online energy efficiency evaluation on boiler optimizing operation parameters of the database module within a certain time period according to the selected boiler parameters, and the combustion optimization control effect is verified. According to the system, automatic optimal operation of various boilers can be achieved under complex operating conditions, combustion efficiency, coordination between loads and output and operating security of the boiler are guaranteed, meanwhile, energy efficiency online analysis of the boiler can be achieved through processing of the boiler operation parameters, and operating conditions of the boiler are accurately mastered.
Description
Technical field
The invention belongs to energy-saving and emission-reduction field, relate to computer control system, be specifically related to a kind of boiler optimization burning and online efficiency evaluating system.
Background technology
Most boilers of China's operation are at present because level of control is not high, and its efficiency is generally lower than national standard.According to appropriate authority research, the design efficiency of China's coal-burned industrial boiler is not low, is generally 72%-80%.But the actual motion thermal efficiency is greatly about 60%-65%, conventionally lower more than 10 percentage points than the qualification thermal efficiency of boiler product, move below 50% at the thermal efficiency even in addition, and the coal-burned industrial boiler operation thermal efficiency average out to 80%-85% of advanced country, therefore, guarantee that boiler economic operation is feasible and significant.Boiler thermal output is to characterize the leading indicator of boiler economic operation, and it has embodied a concentrated reflection of the operation conditions of boiler.
The control of current domestic boiler mainly adopts instrument control and two kinds of patterns of DCS centralized Control, and conventional instrument control exists problems such as relying on manual operations, control by rule of thumb; DCS control system is monitored boiler for producing process with the form of man-machine interface, has reduced operation easier, has overcome the problem that forms boiler control system existence in view of conventional instrument.But, most of DCS control system is mainly used in monitoring the operation of steam generator system, and control the control model that mostly adopts operating personnel's setup parameter on DCS interface, and cause the automatic control integral level of boiler not high, especially there are very large potentiality to dig at boiler control combustion aspect energy-conservation.And the application of the advanced algorithms such as optimum control makes Computer Optimizing Control to be applied to boiler scene in conjunction with DCS, realize boiler optimization burning and control.
If boiler industry can be in conjunction with Theory of Automatic Control, that will improve boiler thermal output greatly, and this can play vital effect to the development of boiler industry.And the online efficiency evaluation and test of boiler can be verified the Optimizing Combustion effect in conjunction with Theory of Automatic Control on the one hand; On the other hand, can there is to the economy of boiler operatiopn again the understanding of an amount, and can instruct boiler technology personnel and kettleman author to understand to grasp the parameter such as various heat losses, the thermal efficiency and coal consumption of boiler, the adjustment of burning in time, remains under optimum condition boiler and moves.
Based on this, be based upon on boiler operatiopn monitoring parameter basis, boiler optimization is burnt and utilizes coal-fired industry analytical calculation boiler efficiency is the problem that the present invention mainly solves.
Summary of the invention
The present invention has overcome the deficiency of prior art and method, a kind of boiler optimization burning and online efficiency evaluating system have been proposed, system is applicable to different combustion systems, different fuel types, the boiler of different outlet working medium, can be optimized control to boiler combustion, and boiler operatiopn is carried out to efficiency evaluation and test, make boiler operatiopn in optimum condition, reduced personnel cost simultaneously.
The present invention is in order to realize above-mentioned technical problem by the following technical solutions:
A kind of boiler optimization burning and online efficiency evaluating system, be made up of boiler, Distributed Control System, communication module, Optimizing Combustion module, DBM, efficiency evaluation and test module.Boiler operating parameter is obtained by Distributed Control System, send Optimizing Combustion module to by communication module, Optimizing Combustion module is optimized to calculate according to boiler parameters such as selected boiler combustion mode, fuel type, boiler export working medium controls boiler optimization burning, then data are stored in DBM, boiler efficiency evaluation and test module is carried out online efficiency evaluation and test for selected boiler parameter to the boiler optimization operational factor in certain time period in DBM, checking Optimizing Combustion control effect.
Further, in order to ensure the communication quality of system, the present invention has adopted the OPC communication technology, realizes the transfer of data between Distributed Control System and Optimizing Combustion module.OPC communication module comprises OPC and uploads interface and OPC download interface, OPC uploads interface and is responsible for the boiler operating parameter in Distributed Control System to be uploaded to Optimizing Combustion module, and OPC download interface is responsible for the good boiler operating parameter of Optimizing Combustion resume module to pass to Distributed Control System.
Further, described Optimizing Combustion module has two kinds of control modes, for different load conditions, the control mode of boiler is switched:
(1) adopt manual control mode, operating personnel adopt manual mode to regulate boiler operating state;
(2) adopt automatic control mode, boiler optimization burning, with online efficiency evaluating system according to load setting fire grate rotating speed, is set air output according to coal-air ratio, then adjusts air inducing to maintain negative pressure according to air output.In Optimizing Combustion process, fire grate adopts PID to regulate and regulates the method combining from optimizing, and air-supply regulates according to coal-air ratio, and combustion chamber draft adopts PID to regulate.
Further, described efficiency evaluation and test module has two kinds of efficiency evaluating methods: positive balance method and counter balancing method.After selected efficiency evaluating method, boiler relevant parameter is set, boiler operating parameter is imported to efficiency evaluation and test module and carry out efficiency evaluation and test, pass judgment on Optimizing Combustion effect according to efficiency evaluation result, hold boiler operatiopn state.
Further, described a kind of boiler optimization burning is applicable to the different combustion systems such as reciprocal grate, traveling-grate stoker, spreader stoker, fluid bed, water-coal-slurry, coal-powder boiler from online efficiency evaluating system, be applicable to the different fuel types such as brown coal, bituminous coal, anthracite, meager coal, be applicable to steam boiler, hot-water boiler.
The present invention adopts above technical scheme compared with prior art, has following good effect:
(1) boiler optimization of the present invention burning and online efficiency evaluating system have been realized under various loads for all kinds of Automatic Control of Boiler boiler operatiopns, greatly improve boiler combustion efficiency, greatly reduce workman's labour intensity, and production efficiency is improved greatly;
(2) the invention provides the online efficiency evaluation and test of boiler function, can analyze boiler operating state, Boiler Economical Operation is quantized, boiler technology personnel and kettleman author are understood grasp the parameter such as various heat losses, the thermal efficiency and coal consumption of boiler, the adjustment of burning in time, boiler is remained under optimum condition and move, and can verify boiler optimization combustion efficiency;
(3) use of OPC technology, has ensured the quick dependable communications between Distributed Control System and Energy Efficiency Analysis module, makes system can realize the online Energy Efficiency Analysis of chain-grate boiler.Database module stores the boiler operating parameter during boiler operatiopn, make system to carry out Energy Efficiency Analysis to random time section in during boiler operatiopn;
(4) boiler optimization burning of the present invention is applicable to all kinds of coal-burning boilers with online efficiency evaluating system, can carry out corresponding adjusting according to boiler combustion mode, fuel type, boiler export working medium.
Read by reference to the accompanying drawings after the detailed description of embodiment of the present invention, it is clearer that the other features and advantages of the invention will become.
Brief description of the drawings
Fig. 1 is a kind of boiler optimization burning and online efficiency evaluating system block diagram proposed by the invention.
Fig. 2 is a kind of boiler optimization burning proposed by the invention and the optimal control flow chart of online efficiency evaluating system.
Fig. 3 is a kind of boiler optimization burning proposed by the invention and the efficiency evaluation and test flow chart of online efficiency evaluating system.
Detailed description of the invention
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in more detail.
Embodiment mono-, shown in Figure 1, the present embodiment is a kind of boiler optimization burning and online efficiency evaluating system block diagram, and system is made up of boiler (1), Distributed Control System (2), communication module (3), Optimizing Combustion module (4), DBM (5), efficiency evaluation and test module (6).The present invention moves the first step, boiler (1) operational factor is obtained by Distributed Control System (2), data in Distributed Control System (2) are uploaded interface by the OPC of communication module (3) and are sent Optimizing Combustion module (4) to, and meanwhile, data are stored in DBM (5) in real time.Second step, Optimizing Combustion module is carried out data processing to boiler operating parameter, now has two kinds of control modes: in the time of selected automatic control mode, according to load setting fire grate rotating speed, set air output according to coal-air ratio, then adjust air inducing to maintain negative pressure according to air output.In Optimizing Combustion process, fire grate adopts PID to regulate and regulates the method combining from optimizing, and air-supply regulates according to coal-air ratio, and combustion chamber draft adopts PID to regulate.In the time of selected manual control mode, operating personnel manually set fire grate rotating speed, air output, air inducing.The 3rd step, Optimizing Combustion module (4) data after treatment send Distributed Control System (2) to by the OPC download interface of communication module (3) boiler are controlled.The 4th step, efficiency evaluation and test module (6) is extracted the data in DBM (5) and the parameters such as boiler combustion mode, fuel type, boiler export working medium is set, and calculates boiler combustion efficiency carry out efficiency evaluation and test according to selected efficiency evaluating method.
Example two, shown in Figure 2, this example is the optimal control flow chart of a kind of boiler optimization burning and online efficiency evaluating system.In the time that system employing is controlled automatically, fire grate regulates and regulates the mode control combining from optimizing with PID, in the time regulating pre-set parameter and instantaneous value to differ by more than setting regulative mode switching error E, adopts PID to control and carries out quick adjustment; In the time regulating the difference of pre-set parameter and instantaneous value to be less than setting regulative mode switching error E, adopt adaptive searching optimal algorithm (blind person's climbing method) optimization to regulate.Detailed process is, the first step: determine search direction.Calculate the efficiency of combustion F1 under current fire grate aperture, fire grate aperture is increased to an optimizing step-length, calculate now efficiency of combustion F2.If F1>F2, illustrates that now fire grate aperture is greater than optimum aperture, search direction should be towards the direction that reduces fire grate aperture.Otherwise search direction should be towards the direction that increases fire grate aperture; Second step: according to selected direction optimizing.Fire grate aperture increases successively (reducing) optimizing step-length and calculates current combustion efficiency value, until the absolute value of twice combustion efficiency difference is less than e, now, fire grate aperture is optimal value, controls boiler by the output of optimal control module.
Example three, shown in Figure 3, this example is a kind of boiler optimization burning and online efficiency evaluating system efficiency evaluation and test flow chart.First, the boiler parameters such as coal-fired kind, combustion system, boiler export working medium are manually inputted to efficiency evaluation and test module; Secondly, the time period that selection will be evaluated and tested, the boiler operating parameter data in the corresponding time period database of boiler efficiency evaluation and test module automatic acquisition; Then, choose efficiency assessment method, have two kinds of methods of positive balance and anti-balance, positive balance method is according to the ratio calculation boiler efficiency of boiler output and input, and anti-balance method calculates boiler efficiency according to the energy consuming in boiler combustion process; Finally, show the efficiency of combustion of section boiler seclected time, evaluation and test Optimizing Combustion effect, accurately holds boiler operatiopn state.
Boiler optimization burning of the present invention is applicable to all kinds of boilers with online efficiency evaluating system, can carry out corresponding adjusting according to boiler combustion mode, fuel type, boiler export working medium, this system has that anti-load variations ability is strong, automaticity is high, good reliability, simple operation and other advantages, has wide practical prospect.
Finally it should be noted that: the present invention is not limited in above-mentioned giving an example, and variation, remodeling, interpolation or replacement that those skilled in the art make in essential scope of the present invention, also should belong to protection scope of the present invention.
Claims (4)
1. a boiler optimization burning and online efficiency evaluating system, it is characterized in that system is by boiler, Distributed Control System, communication module, Optimizing Combustion module, DBM, efficiency evaluation and test module composition, wherein boiler (1) operational factor is obtained by Distributed Control System (2), send Optimizing Combustion module (4) to by communication module (3), Optimizing Combustion module (4) is according to selected boiler combustion mode, fuel type, the boiler parameters such as boiler export working medium are optimized to calculate controls boiler optimization burning, then data are stored in DBM (5), boiler efficiency evaluation and test module (6) is carried out online efficiency evaluation and test for selected boiler parameter to the boiler optimization operational factor in certain time period in DBM (5), checking Optimizing Combustion control effect.
2. a kind of boiler optimization burning according to claim 1 and online efficiency evaluating system, its feature also comprises: be the rapidity and the reliability that ensure to communicate by letter between Distributed Control System (2) and Optimizing Combustion module (4), communication module (3) is used OPC as communication interface.
3. a kind of boiler optimization burning according to claim 1 and online efficiency evaluating system, its feature also comprises: the efficiency evaluation and test module (6) of boiler comprises the setting of boiler basic parameter, boiler operating parameter importing and amendment, efficiency evaluation and test, passes judgment on Optimizing Combustion effect five functions.
4. a kind of boiler optimization burning according to claim 1 and online efficiency evaluating system, its feature also comprises: system is applicable to the different combustion systems such as reciprocal grate, traveling-grate stoker, spreader stoker, fluid bed, water-coal-slurry, coal-powder boiler, be applicable to the different fuel types such as brown coal, bituminous coal, anthracite, meager coal, be applicable to steam boiler, hot-water boiler.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105570868A (en) * | 2016-02-04 | 2016-05-11 | 上海带来科技有限公司 | Combustion working condition real-time monitoring system for gas-fired boiler |
| CN106765022A (en) * | 2016-12-30 | 2017-05-31 | 江苏和隆优化能源科技有限公司 | The many stove coordination optimizing control systems of many criterions based on boiler efficiency |
| CN110397950A (en) * | 2019-07-30 | 2019-11-01 | 山东莱钢永锋钢铁有限公司 | A kind of boiler optimization combustion system |
| RU2717868C1 (en) * | 2018-12-10 | 2020-03-26 | Федеральное государственное бюджетное учреждение науки Институт теплофизики им. С.С. Кутателадзе Сибирского отделения Российской академии наук (ИТ СО РАН) | Method for optimization of drop-flare combustion of water-coal fuel in vortex flow |
| CN113177352A (en) * | 2021-04-07 | 2021-07-27 | 华南理工大学 | Boiler combustion optimization system and method based on numerical simulation and artificial intelligence |
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| CN202511321U (en) * | 2012-03-29 | 2012-10-31 | 青岛科技大学 | Chain boiler combustion specialist and self-optimalizing control system based on information fusion technology |
| CN103305647A (en) * | 2013-06-26 | 2013-09-18 | 北京建龙重工集团有限公司 | High-temperature and low-energy-consumption running state estimation and optimization method for hot air furnace system |
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Patent Citations (4)
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105570868A (en) * | 2016-02-04 | 2016-05-11 | 上海带来科技有限公司 | Combustion working condition real-time monitoring system for gas-fired boiler |
| CN106765022A (en) * | 2016-12-30 | 2017-05-31 | 江苏和隆优化能源科技有限公司 | The many stove coordination optimizing control systems of many criterions based on boiler efficiency |
| CN106765022B (en) * | 2016-12-30 | 2022-09-06 | 江苏和隆优化能源科技有限公司 | Multi-criterion multi-furnace coordinated optimization control system based on boiler energy efficiency |
| RU2717868C1 (en) * | 2018-12-10 | 2020-03-26 | Федеральное государственное бюджетное учреждение науки Институт теплофизики им. С.С. Кутателадзе Сибирского отделения Российской академии наук (ИТ СО РАН) | Method for optimization of drop-flare combustion of water-coal fuel in vortex flow |
| CN110397950A (en) * | 2019-07-30 | 2019-11-01 | 山东莱钢永锋钢铁有限公司 | A kind of boiler optimization combustion system |
| CN110397950B (en) * | 2019-07-30 | 2022-06-14 | 山东莱钢永锋钢铁有限公司 | Boiler optimization combustion system |
| CN113177352A (en) * | 2021-04-07 | 2021-07-27 | 华南理工大学 | Boiler combustion optimization system and method based on numerical simulation and artificial intelligence |
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Application publication date: 20140723 |