CN105157444A - Direct-type air cooling island axial flow fan intelligent control method and system - Google Patents

Direct-type air cooling island axial flow fan intelligent control method and system Download PDF

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CN105157444A
CN105157444A CN201510144706.XA CN201510144706A CN105157444A CN 105157444 A CN105157444 A CN 105157444A CN 201510144706 A CN201510144706 A CN 201510144706A CN 105157444 A CN105157444 A CN 105157444A
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axial flow
temperature
air
cooling
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CN105157444B (en
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李政颖
童宇衡
谢紫莹
黄悠然
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Wuhan University of Technology WUT
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Abstract

The invention discloses a direct-type air cooling island axial flow fan intelligent control method and system. The temperature field on the surface of a finned tube of an air-cooling condenser of the direct-type air cooling island is monitored though a distributed fiber grating sensing technology; the information of the temperature field of the air-cooling condenser is processed, and the rotating speed of the axial flow fan is adjusted according to the real-time temperature. According to the invention, problems that a conventional temperature sensor is disperse in measurement points, small in measurement scope and low in precision are solved, through distributed multi-point temperature detection, the sent-back temperature data is processed, and therefore the rotating speed of the axial flow fan is adjusted accurately in real time, and a lot of power resources are saved.

Description

Direct-type Air-Cooling Island axial flow blower intelligent control method and system
Technical field
The present invention relates to Direct-type Air-Cooling Island axial flow blower, particularly relate to a kind of Direct-type Air-Cooling Island axial flow blower intelligent control method and system.
Background technology
The running status of Direct-type Air-Cooling Island air cooling tubes condenser directly affects the economy of Air-cooled Unit.Temperature monitoring is carried out to air cooling tubes condenser and can understand air cooling tubes condenser running status in time, and corresponding adjustment is made to axial flow blower.Owing to not carrying out the system of comprehensive monitoring at present to the temperature field of air cooling tubes condenser, make that certain hysteresis quality and blindness are all existed to work such as the evaluation of air cooling system heat transfer effect, the combustion adjustment of air cooling system and preventing freeze in winter measure formulations, and the axial flow blower that Direct-type Air-Cooling Island uses is the high-power frequency conversion blower fan of hundred KW levels, and unit power consumption is very huge.And present stage is to air cooling tubes condenser finned tube temperature monitoring system and imperfection, need manually to carry out temperature detection manual adjustments rotating speed during the work of large power shaft flow fan group, poor real, cause a large amount of electric power resource wastes, along with Direct-type Air-Cooling Island range of application constantly expands, therefore in the urgent need to a kind of temperature monitoring system and the axial flow blower intelligence control system that can realize multipoint mode measurement on a large scale.
At present, the temperature monitoring method of Direct-type Air-Cooling Island has traditional thermal resistance discrete temperature sensor, thermocouple discrete temperature sensor, simulation integrated temperature sensor and digital temperature sensor etc.In numerous temperature sensor, thermal resistance type temperature sensor certainty of measurement is high, be applicable to telemeasurement, but volume large, can not high temperature be measured; Thermocouple temperature sensor structure is simple, sturdy and durable, but precision is low when low-temperature measurement; Simulation integrated temperature sensor error is little, volume is little, but measurement category is little; Digital temperature sensor precision is high, reliable, but price is higher.And this programme adopt fibre-optical grating sensor can realize Distributed Multi temperature monitoring on a large scale, and have untouchable, cost is low, reliable, precision height many merits.
The axial flow blower of present stage Direct-type Air-Cooling Island use is the high-power frequency conversion blower fan of hundred KW levels, and unit power consumption is very huge.Due to current to the imperfection of air cooling tubes condenser finned tube temperature monitoring system, need manually to carry out temperature detection manual adjustments rotating speed during the work of large power shaft flow fan group, poor real, give birth to a large amount of electric power resource wastes, this programme carries out intelligent rotating speed control by the temperature data of Real-time Collection to axial flow blower group, while ensure that Air-Cooling Island operating efficiency, effectively reduce unnecessary power consumption.
Summary of the invention
The object of the invention is for present stage axial flow blower mode of speed regulation and the limitation of temperature monitoring mode, a kind of Direct-type Air-Cooling Island fan intelligent control system utilizing distributed fiber grating sensing technology is provided, this system can monitor to real-time and precise the thermo parameters method in air cooling tubes condenser finned tube face, achieve large area Distributed Multi temperature monitoring, and the temperature field data by passing back, real-time regulating shaft flow fan rotating speed.
For achieving the above object, the invention provides a kind of Direct-type Air-Cooling Island axial flow blower intelligent control method, comprise the following steps:
The unit of Direct-type Air-Cooling Island axial flow blower is divided into multiple air cooling unit group, and each air cooling unit group has and comprises multiple cooling unit, and the corresponding axial flow blower of each cooling unit, comprises counter flow cell and following current unit in each cooling unit;
Multiple fiber-optic grating sensor is serially connected on an optical fiber, form optical fiber optical grating array, optical fiber optical grating array is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface, arrange multiple measuring point respectively at following current unit and counter flow cell, arrange at least one measuring point at following current unit and counter flow cell intersection;
Obtain the temperature information of fiber-optic grating sensor sensing, obtain real-time air cooling tubes condenser pressure data according to this temperature information, then extrapolate the exhaust steam pressure data of current steam turbine, and extrapolate the exhaust steam pressure data of current steam turbine;
Obtain the optimum speed of blower fan according to the relation between the exhaust steam pressure data of current steam turbine and the power of the assembling unit, and automatically regulate single axial flow blower rotating speed according to this.
In method of the present invention, at the intensive layout temperature point of counter flow cell, counter flow cell upper edge region, following current unit and counter flow cell adjacent, at the sparse layout point for measuring temperature of following current unit.
In method of the present invention, also comprise step:
The temperature information of the fiber-optic grating sensor sensing in scope corresponding to arbitrary axial flow blower is effectively analyzed, reject and differ overdue greatly with environment temperature, then mean filter is used to all the other effective temperature data, obtain finned tube temperature value corresponding to current time and store, within default time cycle, adopting same processing method carry out multi collect and store to the temperature data in this corresponding scope.
Present invention also offers a kind of Direct-type Air-Cooling Island axial flow blower intelligence control system, comprising:
Optical fiber optical grating array unit, comprise multiple fiber-optic grating sensor be serially connected on an optical fiber, described optical fiber optical grating array unit is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface, wherein multiple fiber-optic grating sensor is arranged in following current unit and following current unit, and at least one fiber-optic grating sensor is arranged in following current unit and counter flow cell intersection; The unit of Direct-type Air-Cooling Island axial flow blower comprises multiple air cooling unit group, and each air cooling unit group has and comprises multiple cooling unit, the corresponding axial flow blower of each cooling unit, and counter flow cell and following current unit form cooling unit;
Temperature information acquiring unit, for obtaining the temperature information of fiber-optic grating sensor sensing;
Computing unit, for obtaining real-time air cooling tubes condenser pressure data according to this temperature information, then extrapolates the exhaust steam pressure data of current steam turbine, and extrapolates the exhaust steam pressure data of current steam turbine;
Rotation speed of fan regulon, for obtaining the optimum speed of blower fan according to the relation between the exhaust steam pressure data of current steam turbine and the power of the assembling unit, and regulates single axial flow blower rotating speed according to this automatically.
In system of the present invention, multiple fiber-optic grating sensor is intensive is arranged in counter flow cell, counter flow cell upper edge region, following current unit and counter flow cell adjacent, and is sparsely arranged in following current unit.
In system of the present invention, optical fiber is U-shaped is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface.
The beneficial effect that the present invention produces is: present invention employs and be connected in series multiple fiber-optical grating temperature sensor on an optical fiber, realize measuring the large area Distributed Multi in Direct-type Air-Cooling Island air cooling tubes condenser finned tube face, and use axial flow blower optimized algorithm, observed temperature data is converted to backpressure data, obtain the optimum speed of axial flow blower, make corresponding adjustment to the rotating speed of axial flow blower thus, this is significant to saving the electric energy of axial flow blower generation, the combustion adjustment of unit and safe operation.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is embodiment of the present invention Direct-type Air-Cooling Island axial flow blower intelligent control method flow chart;
Fig. 2 is embodiment of the present invention Direct-type Air-Cooling Island axial flow blower Structure of intelligent control system schematic diagram;
Fig. 3 is total system schematic diagram of the present invention;
Fig. 4 is air cooling tubes condenser following current of the present invention and counter flow cell finned tube face optical fiber arrangement figure;
Fig. 5 is axial flow blower control algolithm flow chart of the present invention;
Detailed description of the invention
In order to make object 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 only in order to explain the present invention, be not intended to limit the present invention.
The Direct-type Air-Cooling Island axial flow blower intelligent control method of the embodiment of the present invention, as shown in Figure 1, comprises the following steps:
S1, the unit of Direct-type Air-Cooling Island axial flow blower is divided into multiple air cooling unit group, each air cooling unit group has and comprises multiple cooling unit, and the corresponding axial flow blower of each cooling unit, comprises counter flow cell and following current unit in each cooling unit;
S2, multiple fiber-optic grating sensor is serially connected on an optical fiber, form optical fiber optical grating array, optical fiber optical grating array is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface, arrange multiple measuring point respectively at following current unit and counter flow cell, arrange at least one measuring point at following current unit and counter flow cell intersection;
The temperature information of S3, acquisition fiber-optic grating sensor sensing, obtains real-time air cooling tubes condenser pressure data according to this temperature information, then extrapolates the exhaust steam pressure data of current steam turbine, and extrapolate the exhaust steam pressure data of current steam turbine;
S4, obtain the optimum speed of blower fan according to the relation between the exhaust steam pressure data of current steam turbine and the power of the assembling unit, and automatically regulate single rotation speed of fan according to this.
Formulate rational point position for Air-Cooling Island thermo parameters method the characteristic study, Air-Cooling Island surface radiating area is huge, and Temperature Distribution exists very big-difference.According to theoretical research and practical operating experiences, usual counter flow cell is easier than following current unit to freeze, especially on the top of counter flow cell, and the intersection of upper area at following current unit and counter flow cell, temperature deviation can reach more than ten degree.Therefore, this programme at the intensive layout temperature point of counter flow cell, counter flow cell upper edge region, following current and counter flow cell adjacent, at the sparse layout point for measuring temperature of following current unit.
In a preferred embodiment of the present invention, for 300MW unit, unit is divided into 5 air cooling unit groups, each air cooling unit group is made up of 5 cooling units, the corresponding cooling unit of each blower fan, concurrent-countercurrent unit ratio is that this ratio of 3:2(is determined according to the actual conditions of Air-cooled Unit), namely each air cooling unit group secondary series and the 4th is classified as counter flow cell, and other unit are following current unit.Build complete Air-Cooling Island temperature field, measuring point must cover 25 all A type cooling units.
By axial flow blower control algolithm, regulating shaft flow fan rotating speed: according to correlation theory research and experimental data, the foundation of regulating shaft flow fan rotating speed is Direct-type Air-Cooling Island steam turbine exhaust pressure, i.e. back pressure, and back pressure is directly affected by air cooling tubes condenser pressure, this programme is by a large amount of temperature informations of fiber-optic grating sensor survey time, obtain real-time air cooling tubes condenser pressure data, then the exhaust steam pressure data of current steam turbine are extrapolated, do not exceeding under the prerequisite of blocking back pressure, reduction along with exhaust steam pressure increases by the power of the assembling unit, blower fan consumed power also increases thereupon simultaneously.Therefore, when the increment of generated output gets maximum with the difference of corresponding blower fan wasted work, corresponding rotation speed of fan is optimum value.By the temperature data that ipc monitor is real-time, after axial flow blower control algolithm is optimized, obtain best rotation speed of fan, automatically regulate single rotation speed of fan according to this, make it reach optimum speed.
In the embodiment of the present invention, axial flow blower control algolithm is specially:
1) RMS to DC is carried out to temperature test point in the corresponding scope of this blower fan, reject and differ overdue greatly with environment temperature, then mean filter is used to all the other effective temperature data, obtain finned tube temperature value corresponding to current time and store, within shorter time cycle, adopting said method carry out multi collect and store to the temperature data within the scope of this;
2) corresponding air cooling tubes condenser pressure p t is changed into by the temperature data measured;
3) steam turbine exhaust pressure is determined, i.e. back pressure pb;
Pb=pt-p1-p2; P1 is the blow-off line pressure loss, Pa; P2 is the pressure reduction that water vapour post causes, Pa;
4) unit power increment pe under this exhaust steam pressure is determined;
Pe=Ga (hd-h); Ga is unit displacement, kg/s; Hd is design unit steam discharge stagnation enthalpy, J/kg; H is variable working condition unit steam discharge stagnation enthalpy, J/kg;
5) blower fan power consumption M is determined;
M=G*p/ (ρ * e1*e2*e3); G is blower air flow, kg/s; P is blower press, Pa; ρ is atmospheric density under actual environment state, kg/m 3; E1 is fan efficiency; E2 is prime mover efficiency; E2 is transmission efficiency;
6) due in unit load and environmental condition one timing, improve rotation speed of fan, can reduce exhaust steam pressure, do not exceeding under the prerequisite of blocking back pressure, the reduction along with exhaust steam pressure increases by the power of the assembling unit, and blower fan consumed power also increases thereupon simultaneously.When the increment of generated output gets maximum with the difference of corresponding blower fan wasted work, corresponding rotation speed of fan is optimum value.Therefore, axial flow blower control algolithm finally exports the optimum speed value of this blower fan.
According to said method, the Direct-type Air-Cooling Island axial flow blower intelligence control system of the embodiment of the present invention as shown in Figure 2, comprising:
Optical fiber optical grating array unit, comprise multiple fiber-optic grating sensor be serially connected on an optical fiber, described optical fiber optical grating array unit is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface, wherein multiple fiber-optic grating sensor is arranged in following current unit and following current unit, and at least one fiber-optic grating sensor is arranged in following current unit and counter flow cell intersection; The unit of Direct-type Air-Cooling Island axial flow blower comprises multiple air cooling unit group, and each air cooling unit group has and comprises multiple cooling unit, the corresponding blower fan of each cooling unit, and counter flow cell and following current unit form cooling unit;
Temperature information acquiring unit, for obtaining the temperature information of fiber-optic grating sensor sensing;
Computing unit, for obtaining real-time air cooling tubes condenser pressure data according to this temperature information, then extrapolates the exhaust steam pressure data of current steam turbine, and extrapolates the exhaust steam pressure data of current steam turbine;
Rotation speed of fan regulon, for obtaining the optimum speed of blower fan according to the relation between the exhaust steam pressure data of current steam turbine and the power of the assembling unit, and regulates single rotation speed of fan according to this automatically.
In a preferred embodiment of the present invention, as shown in Figure 3, temperature information is passed to host computer by the fiber-optical grating temperature sensor first by being laid on air cooling tubes condenser finned tube face, then by axial flow blower control algolithm unit, the temperature data passed back is processed, obtain the optimum speed of single axial flow blower, finally regulate corresponding blower fan by axial flow blower control circuit, make it reach optimum speed.
As shown in Figure 4, intrinsic compatibility is there is between fiber grating and optical fiber, therefore be easy to multiple Bragg grating is serially connected on an optical fiber, form optical fiber optical grating array, realize distributed sensing, be arranged in Air-Cooling Island air cooling tubes condenser finned tube surface, following current cell layout 15 measuring points by U-shaped for optical fiber, arrange 5 measuring points in the upper, middle and lower of following current unit respectively, arrange 1 measuring point at following current unit and counter flow cell intersection.Counter flow cell arranges that measuring point is comparatively intensive, and arrange 30 measuring points altogether, wherein, 5 measuring points are arranged in lower edges region respectively, and 25 remaining measuring points are the equally spaced middle part being arranged in counter flow cell of a row with 5 respectively.Adjacent tubular segments spacing of fin can be caused to increase because radiating tube deforms, thus make cooling air quantity increase cause dangerous increase of freezing, be formed and freeze vicious circle.Therefore according to unit operation situation, can increase and adjustment measuring point freezing dangerous high special area.
As shown in Figure 5, for the Air-cooled Unit of given unit load, environment temperature, wind speed, for arbitrary blower fan wherein, axial flow blower control algolithm is specifically implemented as follows: 1) carry out RMS to DC to temperature test point in the corresponding scope of this blower fan, reject and differ overdue greatly with environment temperature, then mean filter is used to all the other effective temperature data, obtain finned tube temperature value corresponding to current time and store, within shorter time cycle, adopting said method carry out multi collect and store to the temperature data within the scope of this; 2) condenser pressure of Air-cooled Unit is converted to by the temperature data measured; 3) by air cooling tubes condenser force value size determination steam turbine exhaust pressure; 4) unit power increment under this exhaust steam pressure is determined; 5) due in unit load and environmental condition one timing, improve rotation speed of fan, can reduce exhaust steam pressure, do not exceeding under the prerequisite of blocking back pressure, the reduction along with exhaust steam pressure increases by the power of the assembling unit, and blower fan consumed power also increases thereupon simultaneously.When the increment of generated output gets maximum with the difference of corresponding blower fan wasted work, corresponding rotation speed of fan is optimum value.Therefore, axial flow blower control algolithm finally exports the optimum speed value of this blower fan.
The present invention utilizes distributed fiber grating sensing technology, hundreds and thousands of fiber-optical grating temperature sensors can be connected in series on an optical fiber, thus realize the multiple spot distributed temperature monitoring of air cooling tubes condenser finned tube on Air-Cooling Island on a large scale, obtain finned tube thermo parameters method situation, and according to axial flow blower control algolithm, the temperature data of actual measurement is processed, obtain the optimum speed that each blower fan is real-time, optimize large-scale air cooling unit at different operating load, the method for operation of Air-Cooling Island axial flow blower at varying environment temperature; This programme is easy to realize, and safeguard simple, have a extensive future, energy-saving benefit is very considerable.Compared to the monitoring scheme of traditional temperature sensor for finned tube temperature field, the present invention utilizes distributed fiber grating sensing technology, solve measurement category little, temperature accuracy, the restriction of sensor reliability, by the temperature data independent regulating shaft flow fan rotating speed measured back, a large amount of waste of energy caused because axial flow blower rotating speed cannot regulate in real time can be avoided.
Should be understood that, for those of ordinary skills, can be improved according to the above description or convert, and all these improve and convert the protection domain that all should belong to claims of the present invention.

Claims (6)

1. a Direct-type Air-Cooling Island axial flow blower intelligent control method, is characterized in that, comprise the following steps:
The unit of Direct-type Air-Cooling Island axial flow blower is divided into multiple air cooling unit group, and each air cooling unit group has and comprises multiple cooling unit, and the corresponding axial flow blower of each cooling unit, comprises counter flow cell and following current unit in each cooling unit;
Multiple fiber-optic grating sensor is serially connected on an optical fiber, form optical fiber optical grating array, optical fiber optical grating array is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface, arrange multiple measuring point respectively at following current unit and counter flow cell, arrange at least one measuring point at following current unit and counter flow cell intersection;
Obtain the temperature information of fiber-optic grating sensor sensing, obtain real-time air cooling tubes condenser pressure data according to this temperature information, then extrapolate the exhaust steam pressure data of current steam turbine, and extrapolate the exhaust steam pressure data of current steam turbine;
Obtain the optimum speed of axial flow blower according to the relation between the exhaust steam pressure data of current steam turbine and the power of the assembling unit, and automatically regulate single axial flow blower rotating speed according to this.
2. method according to claim 1, is characterized in that, at the intensive layout temperature point of counter flow cell, counter flow cell upper edge region, following current unit and counter flow cell adjacent, at the sparse layout point for measuring temperature of following current unit.
3. method according to claim 1, is characterized in that, also comprises step:
The temperature information of the fiber-optic grating sensor sensing in scope corresponding to arbitrary axial flow blower is effectively analyzed, reject and differ overdue greatly with environment temperature, then mean filter is used to all the other effective temperature data, obtain finned tube temperature value corresponding to current time and store, within default time cycle, adopting same processing method carry out multi collect and store to the temperature data in this corresponding scope.
4. a Direct-type Air-Cooling Island axial flow blower intelligence control system, is characterized in that, comprising:
Optical fiber optical grating array unit, comprise multiple fiber-optic grating sensor be serially connected on an optical fiber, described optical fiber optical grating array unit is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface, wherein multiple fiber-optic grating sensor is arranged in following current unit and following current unit, and at least one fiber-optic grating sensor is arranged in following current unit and counter flow cell intersection; The unit of Direct-type Air-Cooling Island axial flow blower comprises multiple air cooling unit group, and each air cooling unit group has and comprises multiple cooling unit, the corresponding axial flow blower of each cooling unit, and counter flow cell and following current unit form cooling unit;
Temperature information acquiring unit, for obtaining the temperature information of fiber-optic grating sensor sensing;
Computing unit, for obtaining real-time air cooling tubes condenser pressure data according to this temperature information, then extrapolates the exhaust steam pressure data of current steam turbine, and extrapolates the exhaust steam pressure data of current steam turbine;
Rotation speed of fan regulon, for obtaining the optimum speed of axial flow blower according to the relation between the exhaust steam pressure data of current steam turbine and the power of the assembling unit, and regulates single axial flow blower rotating speed according to this automatically.
5. system according to claim 4, is characterized in that, multiple fiber-optic grating sensor is intensive is arranged in counter flow cell, counter flow cell upper edge region, following current unit and counter flow cell adjacent, and is sparsely arranged in following current unit.
6. system according to claim 4, is characterized in that, optical fiber is U-shaped is arranged in Air-Cooling Island air cooling tubes condenser finned tube surface.
CN201510144706.XA 2015-03-30 2015-03-30 Direct-type Air-Cooling Island axial flow blower intelligent control method and system Active CN105157444B (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106248249A (en) * 2016-09-30 2016-12-21 长飞光纤光缆股份有限公司 A kind of temperature field of air-cooled condenser of power plant measurement apparatus
CN107543427A (en) * 2017-09-15 2018-01-05 双良节能系统股份有限公司 A kind of direct air cooled condenser antifreeze control method
CN108362136A (en) * 2018-01-30 2018-08-03 华北电力科学研究院有限责任公司 A kind of air cooling system control method and equipment
CN108627279A (en) * 2018-07-03 2018-10-09 满洲里达赉湖热电有限公司 Air-Cooling Island temperature field on-Line Monitor Device
CN108628175A (en) * 2018-06-29 2018-10-09 华北电力大学(保定) Power plant Optimal Control System and method based on air cooling system heat dissipation measurement
CN111594468A (en) * 2020-05-13 2020-08-28 西安热工研究院有限公司 Overall regulation control method for air cooling fan group of direct air cooling unit of power station
CN111637762A (en) * 2020-05-07 2020-09-08 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 Automatic control method and system for air cooling condenser fan

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202853196U (en) * 2012-07-25 2013-04-03 北京冶联科技有限公司 Intelligent air cooling island
CN103277150A (en) * 2013-06-03 2013-09-04 国家电网公司 Method for energy-saving optimization of operation of fan of direct air-cooling system of power plant
CN103940257A (en) * 2014-03-21 2014-07-23 中科诺维(北京)科技有限公司 Temperature control system of air cooling condenser
CN203837517U (en) * 2014-03-21 2014-09-17 王大明 Temperature control system of air cooling island

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202853196U (en) * 2012-07-25 2013-04-03 北京冶联科技有限公司 Intelligent air cooling island
CN103277150A (en) * 2013-06-03 2013-09-04 国家电网公司 Method for energy-saving optimization of operation of fan of direct air-cooling system of power plant
CN103940257A (en) * 2014-03-21 2014-07-23 中科诺维(北京)科技有限公司 Temperature control system of air cooling condenser
CN203837517U (en) * 2014-03-21 2014-09-17 王大明 Temperature control system of air cooling island

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
许铁: "空冷岛温度场的构建及防冻优化调整", 《中国优秀硕士学位论文全文数据库》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106248249A (en) * 2016-09-30 2016-12-21 长飞光纤光缆股份有限公司 A kind of temperature field of air-cooled condenser of power plant measurement apparatus
CN107543427A (en) * 2017-09-15 2018-01-05 双良节能系统股份有限公司 A kind of direct air cooled condenser antifreeze control method
CN108362136A (en) * 2018-01-30 2018-08-03 华北电力科学研究院有限责任公司 A kind of air cooling system control method and equipment
CN108628175A (en) * 2018-06-29 2018-10-09 华北电力大学(保定) Power plant Optimal Control System and method based on air cooling system heat dissipation measurement
CN108628175B (en) * 2018-06-29 2021-02-23 华北电力大学(保定) Power plant optimization control system and method based on air cooling system heat dissipation quantity measurement
CN108627279A (en) * 2018-07-03 2018-10-09 满洲里达赉湖热电有限公司 Air-Cooling Island temperature field on-Line Monitor Device
CN111637762A (en) * 2020-05-07 2020-09-08 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 Automatic control method and system for air cooling condenser fan
WO2021223387A1 (en) * 2020-05-07 2021-11-11 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 Automatic control method and system for air cooling condenser fan
CN111594468A (en) * 2020-05-13 2020-08-28 西安热工研究院有限公司 Overall regulation control method for air cooling fan group of direct air cooling unit of power station
CN111594468B (en) * 2020-05-13 2022-04-08 西安热工研究院有限公司 Overall regulation control method for air cooling fan group of direct air cooling unit of power station

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