CN105736434A - Performance monitoring method and system for power plant fan - Google Patents
Performance monitoring method and system for power plant fan Download PDFInfo
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- CN105736434A CN105736434A CN201610073401.9A CN201610073401A CN105736434A CN 105736434 A CN105736434 A CN 105736434A CN 201610073401 A CN201610073401 A CN 201610073401A CN 105736434 A CN105736434 A CN 105736434A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims description 14
- 238000005457 optimization Methods 0.000 claims description 13
- 238000007418 data mining Methods 0.000 claims description 10
- 238000003860 storage Methods 0.000 claims description 9
- 230000003068 static effect Effects 0.000 claims description 4
- 238000013461 design Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 4
- 241001269238 Data Species 0.000 description 2
- 238000007664 blowing Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
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- 230000032683 aging Effects 0.000 description 1
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- 238000006243 chemical reaction Methods 0.000 description 1
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
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- Control Of Positive-Displacement Air Blowers (AREA)
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Abstract
The invention discloses a performance monitoring method of a fan of a power plant, which comprises the steps of firstly collecting working condition data from the fan of the power plant, then obtaining the real-time efficiency eta of the fan by the working condition data, obtaining the maximum value of the real-time efficiency corresponding to different flows respectively, taking the maximum value as the optimal efficiency corresponding to the flows, finally comparing the real-time efficiency with the optimal efficiency corresponding to the current flow, and sending the optimal working condition data to the outside when the optimal efficiency is greater than the real-time efficiency. The invention also discloses a performance monitoring system using the method. According to the invention, the operation efficiency of the fan of the power plant can be calculated in real time, and the operation efficiency is optimized through the adjustment of the working condition, so that the operation efficiency is improved under the condition of not changing the hardware facility of the fan.
Description
Technical field
The invention belongs to power plant fans energy-saving field, more particularly, to method for monitoring performance and the system of a kind of power plant fans.
Background technology
Blower fan is the subsidiary engine that thermal power plant is important, and the power consumption that runs of blower fan has accounted for about the 30% of Station Service Electrical-Energy.Blower fan is when dispatching from the factory, manufacturer is simultaneously supplied to a set of performance design curve of user, performance design curve has symbolized the design performance of blower fan, it is closely related with the impeller aerofoil profile of blower fan, casing shape, stator pattern, driving pattern etc., and gives blower fan optimum operating condition corresponding under different flows and optimum efficiency.But the variation due to Power Plant load, and use the change of coal, the operating condition making blower fan constantly changes, and the actual operating efficiency of blower fan often deviate from design load, and actual optimum operating mode corresponding under different flows and actual optimum efficiency are otherwise varied with design curve.According to statistics, the average efficiency of most power plant fans, lower than 70%, far below design efficiency, therefore has huge energy conservation potential.
Under the current power plant method of operation, the performance optimization of blower fan still lacks effective theories integration and system platform, the basis of performance optimization is able to the efficiency of on-line monitoring blowing machine, thus floor data is adjusted by efficiency according to blower fan targetedly, and the power plant fans efficiency mode adopting scene test is measured more at present, lack on-line monitor.
Prior art can transform, by fan power, the energy saving optimizing carrying out blower fan, as patent documentation ZL201410555827.9 " a kind of adjusting rotor blade formula air-introduced machine frequency conversion energy-saving system " adopts high voltage converter to improve efficiency.But the method needs existing equipment is transformed, and does not have universality.
Summary of the invention
Disadvantages described above or Improvement requirement for prior art, the invention provides the method for monitoring performance of a kind of power plant fans and system, its object is to obtain by Ministry of worker's data of blower fan carry out Real-time Collection the efficiency of blower fan, thus the operation of blower fan is optimized, improve the efficiency of blower fan.
For achieving the above object, according to one aspect of the present invention, it is provided that the method for monitoring performance of a kind of power plant fans, comprise the following steps:
S1. gathering floor data to power plant fans, described floor data includes the flow of blower fan, and pressure rises and power；
S2. obtain the Real time Efficiency η of blower fan according to described floor data, and store the floor data of described Real time Efficiency and correspondence thereof；
S3. the floor data according to described Real time Efficiency and correspondence thereof, it is thus achieved that the maximum of the Real time Efficiency that different flows is corresponding respectively, as the optimum efficiency that described flow is corresponding；Other floor data corresponding to described optimum efficiency is optimum operating condition data；
S4. contrast the optimum efficiency corresponding to Real time Efficiency and current flow, when optimum efficiency is more than Real time Efficiency, then optimum operating condition data are sent to outside.
Preferably, described floor data also includes input static pressure, inlet temperature, entrance movable vane aperture and outlet movable vane aperture.
Preferably, the circular of described Real time Efficiency η is:Wherein, QvFor flow, pFRising for pressure, P is power, and k is constant.
Preferably, described step S2. also includes, it is judged that whether stall margin is less than operating mode threshold value, and according to judged result, stall alerting signal is sent to outside, and described stall margin is the function that described flow rises with pressure.
Preferably, also including step S5. after described step S4., described performance monitoring system is sent to outside data by display module or signal displays.
It is another aspect of this invention to provide that additionally provide a kind of performance monitoring system utilizing the method, including data acquisition module, efficiency calculation and storage module, data-mining module and efficiency optimization module；
Described data acquisition module is for gathering floor data to power plant fans, and described floor data includes flow and pressure rises；
Described efficiency calculation is connected the outfan of described data acquisition module with the input of storage module, for obtaining the Real time Efficiency η of blower fan according to described floor data, described Real time Efficiency is stored with corresponding floor data meanwhile；
The input of described data-mining module connects the first outfan of described efficiency calculation module, for obtaining the maximum of different flows Real time Efficiency corresponding respectively, as the optimum efficiency that described flow is corresponding；
The first input end of described efficiency optimization module connects the second outfan of described efficiency calculation and storage module, second input connects the outfan of described data-mining module, for contrasting optimum efficiency corresponding to current flow and Real time Efficiency, when optimum efficiency is more than Real time Efficiency, then other corresponding for optimum efficiency floor data is sent to outside.
Preferably, described performance monitoring system also includes stall prompting module, described stall prompting module is used for judging that whether stall margin is less than operating mode threshold value, and according to judged result, stall alerting signal is sent to outside, and described stall margin is the function that described flow rises with pressure.
Preferably, described performance monitoring system also includes efficiency monitoring module, the input of described efficiency monitoring module connects the 3rd outfan of described efficiency calculation and storage module, for according to outside request, calculating ought the average Real time Efficiency in Δ t for the previous period, and the average Real time Efficiency in history a period of time Δ t；And the average Real time Efficiency of described current average Real time Efficiency with history is contrasted, if the slippage of described average Real time Efficiency exceedes efficiency falling-threshold value, then efficiency dropping signal is sent to outside.
As it is further preferred that described a period of time Δ t is 3 days～10 days.
Preferably, described performance monitoring system also includes display module, and described display module displays for the data or signal that described performance monitoring system is sent to outside.
In general, by the contemplated above technical scheme of the present invention compared with prior art, due to by the floor data of power plant fans is carried out Real-time Collection, storage and data mining, it is possible to obtain following beneficial effect:
1, by being arranged at sensor on blower fan and existing control system of power plant, can to the floor data Real-time Collection of power plant fans, and the efficiency of instant computing blowing machine, the running status to blower fan of being more convenient for carries out adjusting rapidly and optimizing, and makes blower fan remain higher efficiency within the scope of actual floor data；
2, by the statistics of the maximum of the Real time Efficiency of history, thus obtaining the floor data that can obtain peak efficiency under current compressor flow, as the operation reference of power plant fans；
3, judge whether the flow of blast and pressure exceed operating mode threshold value preferably by stall prompting module, and according to judged result, stall alerting signal be sent to outside, it is prevented that fan stall and affect the operational efficiency of power plant fans；
4, adding up Real time Efficiency change within a period of time preferably by efficiency monitoring module, thus being easier to damaging or the aging impact on power plant fans operational efficiency of discovering device, and adjusting in time.
Accompanying drawing explanation
Fig. 1 is the performance monitoring system structural representation of power plant fans of the present invention；
Fig. 2 is the predicted performance curves schematic diagram of power plant fans.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein is only in order to explain the present invention, is not intended to limit the present invention.As long as just can be mutually combined additionally, technical characteristic involved in each embodiment of invention described below does not constitute conflict each other.
One aspect of the present invention provides the performance monitoring system of a kind of power plant fans, the module such as including data acquisition module, efficiency calculation and storage module, data-mining module and efficiency optimization module, as shown in Figure 1.
Wherein, the floor datas such as data acquisition module for gathering the flow of blower fan to power plant fans, and pressure rises, input static pressure, inlet temperature, entrance movable vane aperture, outlet movable vane aperture, the power of blower fan；Described efficiency calculation is connected the first outfan of described data acquisition module with the input of storage module, for obtaining the Real time Efficiency η of blower fan according to described floor data, simultaneously, the Real time Efficiency of history is carried out locally stored with corresponding floor data, or is sent to external server and stores；The input of described stall prompting module connects the second outfan of described data acquisition module, is used for judging that whether stall margin is less than operating mode threshold value, and according to judged result, stall alerting signal is sent to outside.Described stall margin is the function f (Q that described flow rises with pressurev,pF) < ε is drawn by the design curve of blower fan.Wherein, pF=p2-p1, p2For outlet total head, p1For entrance total head.
The input of described data-mining module connects the first outfan of described efficiency calculation module, for obtaining the maximum of the Real time Efficiency of different compressor flows history corresponding respectively, as the optimum efficiency that different compressor flows is corresponding respectively；The first input end of described efficiency optimization module connects the second outfan of described efficiency calculation and memory module, second input connects the outfan of described data-mining module, for contrasting optimum efficiency corresponding to current compressor flow and Real time Efficiency, when optimum efficiency is more than Real time Efficiency, then other floor data except compressor flow corresponding for optimum efficiency is sent to outside；Otherwise other floor data that current compressor flow is corresponding on the design curve of blower fan is sent to outside；Described performance monitoring system also includes efficiency monitoring module, the input of described efficiency monitoring module connects the 3rd outfan of described efficiency calculation and memory module, for according to outside request, calculating ought the average Real time Efficiency in Δ t for the previous period, and the average Real time Efficiency in history a period of time Δ t；And the average Real time Efficiency of described current average Real time Efficiency with history is contrasted, if the slippage of described average Real time Efficiency exceedes efficiency falling-threshold value, then efficiency dropping signal is sent to outside.
Described performance monitoring system, display module can also be included, described display module displays by the form of data or the form of graphic interface for described performance monitoring system is sent to the data of outside or signal (such as the stall alerting signal that stall prompting module sends, floor data that efficiency optimization module sends or the efficiency dropping signal that efficiency monitoring module sends).
The job step of this performance monitoring system is as follows:
S1. air flow sensor, total head sensor, static pressure transducer, temperature sensor, stator blade or the encoder of movable vane aperture, the power meter etc. by arranging at fans entrance and outlet gather the flow of blower fan, the floor datas such as pressure rises, power；Then pass through signal picker, digital-to-analogue converter and cable, be transferred in data acquisition module；Wherein, air flow sensor can be the effusion meter of any applicable actual blower fan, for instance, differential pressure flowmeter, velocity field formula effusion meter, thermal flowmeter, ultrasonic flow meter etc..
Simultaneously, it is possible to by the floor data of plant information monitoring system (SIS system) collecting part blower fan unit, such as unit load, unit coal-burning amount etc., as shown in table 1；All by the SIS data gathered by internal network transport in data acquisition module.
Table 1 power plant fans floor data
S2. the floor data that efficiency calculation and memory module obtain according to data acquisition module, calculate the Real time Efficiency η of blower fan and export, the Real time Efficiency of history is stored with corresponding floor data simultaneously, owing to historical data amount is very huge, history data store module additionally can be set on external server, in real time the Real time Efficiency of history is inputted history data store module with corresponding floor data and preserve；Due to, power plant every 2～3 years can overhaul once, or have the situation of more exchange device, now need to initialize historical data, re-start optimizing.
The calculation of blower fan Real time Efficiency η has a lot, for instance, it is possible to take below equation:
Blower press power
Fan shaft power
Blower fan Real time Efficiency
In formula: blower fan pressure rises pF=p2-p1(Pa), p2And p1Respectively outlet total head and entrance total head, QvFor compressor flow, kpFor Compression Correction coefficient, being generally constant, U and I is blower fan place busbar voltage and actual current respectively, it is also possible to the power of fan P either directly through power meter output calculates, ηyFor the efficiency of prime mover, for motorized motions blower fan generally in constant 0.95, cos θ for motor power factor, generally adopt design load during Motor Production Test to calculate, be constant for particular motor.
Meanwhile, stall prompting module judges described floor data, if whether stall margin is less than operating mode threshold value (i.e. f (Qv,pF) < ε, ε are the operating mode threshold value set according to blower fan model, f (Qv,pF) be the function relevant to fan design performance curve), and according to judged result, stall alerting signal is sent to outside；If Fig. 2 is the predicted performance curves of air-introduced machine, wherein, abscissa represents flow, vertical coordinate represents that pressure rises, dotted portion represents stall zone, and it is operating point that the pass that the actual flow of blower fan and pressure rise ties up to the value on predicted performance curves, and the distance of operating point and stall zone is stall margin f (Qv,pF)。
Owing to the boiler both sides of thermal power plant have two Fans, they are air-supply or air inducing in boiler simultaneously, when the stall margin deficiency of a wherein Fans, then can pass through to adjust the movable vane aperture of another Fans, the flow making two Fans reaches balance, so that the pressure of stall blower fan rises and flow matches, thus increasing stall margin, reduce the risk of stall；If, still invalid after adjusting so that when fan condition has run to stall zone (operating point falls in Fig. 2 region more than dotted line), to be then likely to occur air channel blocking or other operation problems, it is necessary to shut down and check and overhaul.
S3. data-mining module is according to the Real time Efficiency of history and corresponding floor data, it is thus achieved that the maximum of the Real time Efficiency of the history that different compressor flows is corresponding respectively, as the optimum efficiency that different compressor flows is corresponding respectively；Meanwhile, fan design performance curve blower fan factory provided carries out discrete processes, it is thus achieved that the efficiency that compressor flows different on design curve is corresponding, as the design efficiency that different compressor flows are corresponding respectively；
Simultaneously, efficiency monitoring module is according to outside request, calculating ought the average Real time Efficiency in Δ t for the previous period, and the average Real time Efficiency in the time Δ t of one section of same length of history, and give outside by the comparing result data feedback of described current average Real time Efficiency with the average Real time Efficiency of history.Such as, calculate the average Real time Efficiency of blower fan this week, average Real time Efficiency with last week, if fan efficiency reduction amount exceedes a certain setting value (such as 5%), illustrate that worsening occurs in the ruuning situation of blower fan, the reduced value of floor data during this period of time can be fed back to outside, find out the reason of deterioration for operations staff；
S4. efficiency optimization module contrasts the current Real time Efficiency corresponding to compressor flow and optimum efficiency, if it find that Real time Efficiency is lower than optimum efficiency, then other floor data except compressor flow corresponding for optimum efficiency is sent to outside as reference floor data；Otherwise, other corresponding for design efficiency floor data is sent to outside as reference floor data；This reference floor data can by plug-in control server transport to the air-blower control center of Power Plant DCS, air-blower control center can directly utilize with reference to floor data, load to the unit of blower fan, the air quantity of blower fan and pressure carry out on-line optimization adjustment, it is also possible to selected important parameter therein to be adjusted by operations staff；Adjust the floor data of later blower fan and Real time Efficiency will continue by line computation and monitoring, thus realizing the process of closed-loop optimization.
S5. wherein, stall prompting module, efficiency monitoring module or efficiency optimization module be sent to the data of outside or signal all can by the form of display module data or patterned interface display outside, for operations staff's reference；Additionally, this performance monitoring system can also be asked for instructions according to outside, the Real time Efficiency of any history floor data or the correspondence interface with data or patterned interface are displayed, in order to the operation of power plant fans is inquired about and optimizes by operations staff.
Those skilled in the art will readily understand; the foregoing is only presently preferred embodiments of the present invention; not in order to limit the present invention, all any amendment, equivalent replacement and improvement etc. made within the spirit and principles in the present invention, should be included within protection scope of the present invention.
Claims (7)
1. the method for monitoring performance of a power plant fans, it is characterised in that comprise the following steps:
S1. gathering floor data to power plant fans, described floor data includes the flow of blower fan, and pressure rises and power；
S2. obtain the Real time Efficiency η of blower fan according to described floor data, and store the floor data of described Real time Efficiency and correspondence thereof；
S3. obtaining the maximum of different flow Real time Efficiency corresponding respectively, as the optimum efficiency that described flow is corresponding, other floor data corresponding to described optimum efficiency is optimum operating condition data；
S4. contrast the optimum efficiency corresponding to Real time Efficiency and current flow, when optimum efficiency is more than Real time Efficiency, then optimum operating condition data are sent to outside.
2. the method for claim 1, it is characterised in that described floor data also includes input static pressure, inlet temperature, entrance movable vane aperture and outlet movable vane aperture.
3. the method for claim 1, it is characterised in that the circular of described Real time Efficiency η is:Wherein, QvFor flow, pFRising for pressure, P is power, and k is constant.
4. the method for claim 1, it is characterised in that described step S2. also includes, it is judged that whether stall margin is less than operating mode threshold value, and according to judged result, stall alerting signal is sent to outside, and described stall margin is the function that described flow rises with pressure.
5. utilize the performance monitoring system of any one method in claim 1-4, it is characterised in that include data acquisition module, efficiency calculation and storage module, data-mining module and efficiency optimization module；
Described data acquisition module is for gathering floor data to power plant fans, and described floor data includes flow, and pressure rises and power；
Described efficiency calculation and storage module for obtaining the Real time Efficiency η of blower fan according to described floor data, and described Real time Efficiency is stored with corresponding floor data；
Described data-mining module is for obtaining the maximum of different flow Real time Efficiency corresponding respectively, and as the optimum efficiency that described flow is corresponding, other floor data corresponding to described optimum efficiency is optimum operating condition data；
Described efficiency optimization module is used for contrasting the optimum efficiency corresponding to current flow and Real time Efficiency, when optimum efficiency is more than Real time Efficiency, then other corresponding for optimum efficiency floor data is sent to outside.
6. performance monitoring system as claimed in claim 5, it is characterized in that, described performance monitoring system also includes stall prompting module, described stall prompting module is used for judging that whether stall margin is less than operating mode threshold value, and according to judged result, stall alerting signal being sent to outside, described stall margin is the function that described flow rises with pressure.
7. performance monitoring system as claimed in claim 1, it is characterized in that, described performance monitoring system also includes efficiency monitoring module, described efficiency monitoring module is for according to outside request, calculating ought the average Real time Efficiency in Δ t for the previous period, and the average Real time Efficiency in history a period of time Δ t；And the average Real time Efficiency of described current average Real time Efficiency with history is contrasted, if the slippage of described average Real time Efficiency exceedes efficiency falling-threshold value, then efficiency dropping signal is sent to outside.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109826816A (en) * | 2018-12-29 | 2019-05-31 | 浙江大学 | A kind of fan stall intelligent early-warning system and method |
| CN111865047A (en) * | 2020-07-27 | 2020-10-30 | 珠海格力电器股份有限公司 | Power efficiency optimization method and device and power equipment |
| CN113253018A (en) * | 2021-04-20 | 2021-08-13 | 苏州西热节能环保技术有限公司 | Electric energy balance monitoring method for coal-fired power plant |
| CN114881375A (en) * | 2022-07-11 | 2022-08-09 | 浙江科维节能技术股份有限公司 | Diagnosis and tuning system and method of fan system |
| CN115238471A (en) * | 2022-06-30 | 2022-10-25 | 华能安源发电有限责任公司 | Fan efficiency online monitoring method and device, electronic equipment and readable medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5560694A (en) * | 1978-10-27 | 1980-05-07 | Hitachi Ltd | Control of multi-stage centrifugal compressor |
| JPS5560693A (en) * | 1978-10-27 | 1980-05-07 | Hitachi Ltd | Controller for multi-stage centrifugal compressor |
| EP0887555A1 (en) * | 1997-06-23 | 1998-12-30 | BABCOCK-BSH GmbH | Method for determining the operating point of a fan and the fan |
| CN1521404A (en) * | 2003-01-28 | 2004-08-18 | 姚福来 | Method for controlling operating efficiency of water pump fan for industrial controller and configuration software |
| JP2006250068A (en) * | 2005-03-11 | 2006-09-21 | Babcock Hitachi Kk | Fan operation monitoring device |
| CN102287390A (en) * | 2011-07-25 | 2011-12-21 | 中国神华能源股份有限公司 | Safety monitoring method for air feeder |
| CN103334946A (en) * | 2013-05-31 | 2013-10-02 | 广东电网公司电力科学研究院 | On-line energy-saving diagnosis control system of steam-driven induced draft fan of heat engine plant |
| CN103375418A (en) * | 2012-04-27 | 2013-10-30 | 上海宝钢工业技术服务有限公司 | Post-remanufacturing-technique-application fan energy saving rate measuring method |
| CN104895820A (en) * | 2015-07-02 | 2015-09-09 | 东方日立(成都)电控设备有限公司 | Energy-saving optimization control method of moving-blade-adjustable axial flow fan variable-frequency energy-saving system |
| CN105090084A (en) * | 2015-08-31 | 2015-11-25 | 上海宝钢节能环保技术有限公司 | Draught fan online monitoring system and method |
-
2016
- 2016-02-02 CN CN201610073401.9A patent/CN105736434B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5560694A (en) * | 1978-10-27 | 1980-05-07 | Hitachi Ltd | Control of multi-stage centrifugal compressor |
| JPS5560693A (en) * | 1978-10-27 | 1980-05-07 | Hitachi Ltd | Controller for multi-stage centrifugal compressor |
| EP0887555A1 (en) * | 1997-06-23 | 1998-12-30 | BABCOCK-BSH GmbH | Method for determining the operating point of a fan and the fan |
| CN1521404A (en) * | 2003-01-28 | 2004-08-18 | 姚福来 | Method for controlling operating efficiency of water pump fan for industrial controller and configuration software |
| JP2006250068A (en) * | 2005-03-11 | 2006-09-21 | Babcock Hitachi Kk | Fan operation monitoring device |
| CN102287390A (en) * | 2011-07-25 | 2011-12-21 | 中国神华能源股份有限公司 | Safety monitoring method for air feeder |
| CN103375418A (en) * | 2012-04-27 | 2013-10-30 | 上海宝钢工业技术服务有限公司 | Post-remanufacturing-technique-application fan energy saving rate measuring method |
| CN103334946A (en) * | 2013-05-31 | 2013-10-02 | 广东电网公司电力科学研究院 | On-line energy-saving diagnosis control system of steam-driven induced draft fan of heat engine plant |
| CN104895820A (en) * | 2015-07-02 | 2015-09-09 | 东方日立(成都)电控设备有限公司 | Energy-saving optimization control method of moving-blade-adjustable axial flow fan variable-frequency energy-saving system |
| CN105090084A (en) * | 2015-08-31 | 2015-11-25 | 上海宝钢节能环保技术有限公司 | Draught fan online monitoring system and method |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109826816A (en) * | 2018-12-29 | 2019-05-31 | 浙江大学 | A kind of fan stall intelligent early-warning system and method |
| CN109826816B (en) * | 2018-12-29 | 2020-04-24 | 浙江大学 | Intelligent early warning system and method for fan stall |
| CN111865047A (en) * | 2020-07-27 | 2020-10-30 | 珠海格力电器股份有限公司 | Power efficiency optimization method and device and power equipment |
| CN113253018A (en) * | 2021-04-20 | 2021-08-13 | 苏州西热节能环保技术有限公司 | Electric energy balance monitoring method for coal-fired power plant |
| CN115238471A (en) * | 2022-06-30 | 2022-10-25 | 华能安源发电有限责任公司 | Fan efficiency online monitoring method and device, electronic equipment and readable medium |
| CN114881375A (en) * | 2022-07-11 | 2022-08-09 | 浙江科维节能技术股份有限公司 | Diagnosis and tuning system and method of fan system |
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| CN105736434B (en) | 2017-06-30 |
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