WO2015060158A1 - Procédé de surveillance et de fonctionnement d'échangeurs de chaleur pour combustibles contenant du carbone - Google Patents

Procédé de surveillance et de fonctionnement d'échangeurs de chaleur pour combustibles contenant du carbone Download PDF

Info

Publication number
WO2015060158A1
WO2015060158A1 PCT/JP2014/077311 JP2014077311W WO2015060158A1 WO 2015060158 A1 WO2015060158 A1 WO 2015060158A1 JP 2014077311 W JP2014077311 W JP 2014077311W WO 2015060158 A1 WO2015060158 A1 WO 2015060158A1
Authority
WO
WIPO (PCT)
Prior art keywords
heat exchanger
carbon
containing fuel
mahalanobis distance
abnormality
Prior art date
Application number
PCT/JP2014/077311
Other languages
English (en)
Japanese (ja)
Inventor
博義 久保
浩美 青田
柴田　泰成
悠一郎 浦方
Original Assignee
三菱日立パワーシステムズ株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱日立パワーシステムズ株式会社 filed Critical 三菱日立パワーシステムズ株式会社
Priority to US14/916,284 priority Critical patent/US20160216052A1/en
Priority to KR1020167005161A priority patent/KR20160038000A/ko
Priority to CN201480047067.9A priority patent/CN105531559A/zh
Publication of WO2015060158A1 publication Critical patent/WO2015060158A1/fr

Links

Images

Classifications

    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
    • F28F—DETAILS OF HEAT-EXCHANGE AND HEAT-TRANSFER APPARATUS, OF GENERAL APPLICATION
    • F28F27/00—Control arrangements or safety devices specially adapted for heat-exchange or heat-transfer apparatus
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01K—STEAM ENGINE PLANTS; STEAM ACCUMULATORS; ENGINE PLANTS NOT OTHERWISE PROVIDED FOR; ENGINES USING SPECIAL WORKING FLUIDS OR CYCLES
    • F01K5/00—Plants characterised by use of means for storing steam in an alkali to increase steam pressure, e.g. of Honigmann or Koenemann type
    • F01K5/02—Plants characterised by use of means for storing steam in an alkali to increase steam pressure, e.g. of Honigmann or Koenemann type used in regenerative installation
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
    • F28G—CLEANING OF INTERNAL OR EXTERNAL SURFACES OF HEAT-EXCHANGE OR HEAT-TRANSFER CONDUITS, e.g. WATER TUBES OR BOILERS
    • F28G15/00—Details
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
    • F28G—CLEANING OF INTERNAL OR EXTERNAL SURFACES OF HEAT-EXCHANGE OR HEAT-TRANSFER CONDUITS, e.g. WATER TUBES OR BOILERS
    • F28G15/00—Details
    • F28G15/003—Control arrangements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F28—HEAT EXCHANGE IN GENERAL
    • F28F—DETAILS OF HEAT-EXCHANGE AND HEAT-TRANSFER APPARATUS, OF GENERAL APPLICATION
    • F28F2200/00—Prediction; Simulation; Testing
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E20/00—Combustion technologies with mitigation potential
    • Y02E20/16—Combined cycle power plant [CCPP], or combined cycle gas turbine [CCGT]
    • 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E20/00—Combustion technologies with mitigation potential
    • Y02E20/16—Combined cycle power plant [CCPP], or combined cycle gas turbine [CCGT]
    • Y02E20/18—Integrated gasification combined cycle [IGCC], e.g. combined with carbon capture and storage [CCS]

Definitions

  • the present invention relates to a method of monitoring and operating a carbon-containing fuel heat exchanger.
  • Priority is claimed on Japanese Patent Application No. 2013-218494, filed Oct. 21, 2013, the content of which is incorporated herein by reference.
  • the monitoring device acquires plant state quantities such as temperature and pressure in order to monitor whether the plants are operating normally. ,Monitor. That is, the monitoring device measures state quantities of a plurality of monitoring items to be monitored at predetermined time intervals. The monitoring device calculates and normalizes the average and the distribution of the state quantities for each monitoring item. The monitoring device calculates the correlation of state quantities of each monitoring item to calculate the Mahalanobis distance. If the Mahalanobis distance exceeds a preset threshold, the monitoring apparatus determines that the plant has a sign of abnormality.
  • Patent Document 1 discloses a plant operating state monitoring method using such a Mahalanobis distance.
  • Patent Document 2 discloses a technique for suppressing the adhesion of foreign matter to the heat transfer tube of the heat exchanger of the coal gasification combined cycle power generation system.
  • a carbon-containing fuel heat exchanger such as the heat exchanger of the coal gasification combined cycle power generation system shown in Patent Document 2
  • soot may adhere to the heat transfer surface of the heat exchanger depending on the type of gas. If such a defect in the carbon-containing fuel heat exchanger is not found early, the adhered soot will sinter and it will be difficult to remove the soot. Therefore, it is preferable to monitor the abnormality of the carbon-containing fuel heat exchanger and detect the abnormality early.
  • Patent Document 1 discloses a technique for appropriately monitoring a plant operating state by calculating the Mahalanobis distances based on state quantities at a plurality of locations along the circumferential direction of the rotation axis of a gas turbine. On the other hand, Patent Document 1 does not disclose a configuration for early detection of a carbon-containing fuel heat exchanger abnormality.
  • An object of the present invention is to provide a monitoring and operating method of a carbon-containing fuel heat exchanger capable of early detecting an abnormality of the carbon-containing fuel heat exchanger.
  • a method which comprises: calculating a Mahalanobis distance based on temperatures at a plurality of positions in the flow direction on the primary side of the carbon-containing fuel heat exchanger; Determining the presence or absence of the carbon-containing fuel heat exchanger.
  • a second aspect of the present invention is the monitoring method of a carbon-containing fuel heat exchanger according to the first aspect, wherein the calculation process of the Mahalanobis distance is added to the temperatures of a plurality of positions in the flow direction of the primary side. Furthermore, the Mahalanobis distance is calculated based on the differential pressure at the inlet / outlet on the primary side, the flow rate on the primary side, the plurality of temperatures in the flow direction in the secondary side of the carbon-containing fuel heat exchanger, or the flow rate on the secondary side. It is a process of
  • a third aspect of the present invention is a method of operating a carbon-containing fuel heat exchanger.
  • the heat exchange Changing the operating conditions of the removal device provided in the device.
  • the abnormality of the carbon-containing fuel heat exchanger can be determined at an early stage.
  • FIG. 1 It is a schematic diagram which shows the structural example of the abnormality monitoring apparatus which concerns on 1st Embodiment. It is a schematic diagram for demonstrating the process part of FIG. 1 concretely. It is a conceptual diagram which shows the concept of Mahalanobis distance. It is a flowchart which shows the procedure of the monitoring and operation method of the carbon containing fuel-heat exchanger which concerns on this embodiment. It is a schematic diagram for demonstrating the process part which concerns on 2nd Embodiment concretely.
  • FIGS. 1 to 4 a first embodiment of the present invention will be described with reference to FIGS. 1 to 4.
  • the present invention is not limited by the embodiments (hereinafter referred to as embodiments) for carrying out the present invention.
  • constituent elements in the following embodiments include those which can be easily conceived by those skilled in the art, those substantially the same, and so-called equivalent ranges.
  • FIG. 1 is a schematic view showing a configuration example of the abnormality monitoring device according to the present embodiment.
  • the abnormality monitoring device 10 monitors the operating state of the carbon-containing fuel heat exchanger 1.
  • the abnormality monitoring device 10 determines whether the carbon-containing fuel heat exchanger 1 is operating normally.
  • a state quantity for monitoring the carbon-containing fuel heat exchanger for example, the temperatures at a plurality of positions in the flow direction G on the primary side of the heat exchanger 2 (inlet temperature and outlet temperature of the heat exchanger 2) Etc., differential pressure at the inlet / outlet in the flow direction G on the primary side, flow rate on the primary side, multiple temperatures in the flow direction W on the secondary side, flow rate of the heat exchange medium in the heat transfer tube 4, etc.
  • the primary side of the heat exchanger 2 is the high temperature side. That is, in the present embodiment, the primary side of the heat exchanger 2 is the side on which the fuel flows.
  • the secondary side of the heat exchanger 2 is the low temperature side. That is, in the present embodiment, the secondary side of the heat exchanger 2 is the side through which the heat exchange medium flows.
  • the carbon-containing fuel heat exchanger 1 to be monitored includes a heat exchanger 2, a fuel flow path 3, a heat transfer pipe 4, and a removing device 5.
  • Fuel is supplied to the inside of the heat exchanger 2 via the fuel flow path 3.
  • fuel include, for example, fuel gas and powder fuel.
  • the heat transfer pipe 4 passes through the inside of the heat exchanger 2.
  • the heat transfer surface 6 is configured by the heat transfer tube 4. At the heat transfer surface 6, heat is exchanged between the fuel flowing from the fuel flow path 3 to the heat exchanger 2 and the heat exchange medium flowing through the heat transfer pipe 4.
  • heat exchange media include, for example, water.
  • the removing device 5 removes the soot adhering to the heat transfer surface 6 constituted by the heat transfer tube 4. The soot is produced from carbon contained in the fuel.
  • a vibration removing device for giving vibration to the heat transfer surface 6
  • a hard ball drop removing device for dropping hard balls to the heat transfer surface 6
  • compressed gas nitrogen, steam, etc.
  • the jet removal device for example, a suit blower
  • the abnormality monitoring device 10 monitors the state of the carbon-containing fuel heat exchanger 1.
  • the abnormality monitoring device 10 monitors the state of one carbon-containing fuel heat exchanger 1, but may monitor the operating state of a plurality of carbon-containing fuel heat exchangers 1.
  • the abnormality monitoring apparatus 10 is, for example, a computer, and includes an input / output unit (I / O) 11, a processing unit 12, and a storage unit 13.
  • the abnormality monitoring apparatus 10 may be configured using a so-called personal computer, or may be configured by combining a CPU (Central Processing Unit) and a memory.
  • CPU Central Processing Unit
  • the processing unit 12 receives the state quantities of the carbon-containing fuel heat exchanger 1 from various state quantity detection means (sensors). Various state quantity detection means are attached to the carbon-containing fuel heat exchanger 1 via the input / output unit 11. The various state quantity detection means periodically acquire corresponding state quantities at predetermined time intervals from the start of activation. Various state quantity detection means input state quantities to the processing unit 12 via the input / output unit 11.
  • a monitoring target data group indicating the state quantities of the carbon-containing fuel heat exchanger 1 is sent to the processing unit 12 of the abnormality monitoring device 10 in the form of an electrical signal.
  • the processing unit 12 is configured of, for example, a CPU.
  • the processing unit 12 sequentially reads and interprets an instruction sequence called a program (computer program) existing on the storage unit 13.
  • the processing unit 12 moves or processes data according to the result of the interpretation.
  • the processing unit 12 may be realized by dedicated hardware.
  • the processing unit 12 may execute the processing procedure of the monitoring and operation method according to the present embodiment according to the following procedure.
  • a computer program for realizing the functions of the processing unit 12 is recorded on a non-transitory recording medium readable by a computer.
  • the processing unit 12 causes the computer system to read and execute the computer program recorded in the recording medium.
  • the "computer system" referred to here includes an OS and hardware such as peripheral devices.
  • the "non-transitory recording medium readable by a computer” means a recording medium such as a flexible disk, a magneto-optical disk, a ROM, a portable medium such as a CD-ROM, or a hard disk built in a computer system. .
  • the "computer-readable recording medium” dynamically holds a computer program for a short time, like a communication line in the case of transmitting a computer program via the Internet or a communication line such as a telephone line. Shall be included.
  • the “computer-readable recording medium” includes a server that receives a computer program, and a volatile memory in a computer system serving as a client that holds the computer program for a certain period of time.
  • the computer program may be for realizing a part of the functions described above.
  • the computer program may be one that can realize the functions described above in combination with a computer program already recorded in the computer system.
  • the monitoring and operating method of the carbon-containing fuel heat exchanger 1 can be realized by executing a computer program prepared in advance by a computer such as a personal computer or a work station.
  • This computer program can be distributed via a communication line such as the Internet.
  • this computer program is recorded on a computer readable recording medium such as a hard disk, a flexible disk (FD), a CD-ROM, an MO, a DVD, etc., and is executed by being read from the recording medium by a computer. May be
  • the processing unit 12 calculates the monitoring target data acquisition process A, the Mahalanobis distance calculation process B, the comparison process C, the abnormality determination process D, and the operation condition change process E in each operation unit.
  • the monitoring target data acquisition process A is a process of acquiring monitoring target data indicating the amount of state of the carbon-containing fuel heat exchanger 1.
  • the Mahalanobis distance computation process B is a process of computing the Mahalanobis distance based on the acquired monitoring target data.
  • the comparison process C is a process of comparing the calculated Mahalanobis distance with a threshold.
  • the abnormality determination process D is a process of determining the presence or absence of an abnormality based on the comparison result of the Mahalanobis distance and the threshold.
  • the operating condition changing step E is a step of changing the operating condition of the removing device 5 based on the result of the abnormality determination.
  • FIG. 3 is a diagram showing the correlation between two parameters.
  • the parameters of the horizontal axis in FIG. 3 are the difference between the inlet temperature and the outlet temperature in the flow direction G on the primary side of the heat exchanger 2.
  • the parameter on the vertical axis of FIG. 3 is the temperature of a certain point in the flow direction W on the secondary side of the heat exchanger 2. That is, when soot accumulates on the heat transfer surface 6, the efficiency of heat exchange between the fuel and the heat exchange medium decreases. Thereby, the temperature at any point on the secondary side of the heat exchanger 2 is lowered.
  • Each measurement data has variation due to differences in atmospheric conditions, operating conditions, and the like.
  • each measurement data has a specific range Fit in The abnormality monitoring apparatus 10 creates a unit space serving as a reference, using these as reference data. Also in each of the other state quantities, the correlation can be determined as the temperature difference on the primary side and the temperature on the secondary side. Then, the abnormality monitoring device 10 determines whether the data to be determined is normal or abnormal with respect to the unit space of each state quantity, based on the Mahalanobis distance.
  • the unit space of the above-mentioned Mahalanobis can be obtained by the following items predetermined in the present embodiment.
  • the abnormality monitoring device 10 monitors the state quantity of the carbon-containing fuel heat exchanger 1 in the past period from the time of evaluating the state of the carbon-containing fuel heat exchanger 1 to the previous period before the predetermined period.
  • a unit space of Mahalanobis is calculated based on the target data.
  • the abnormality monitoring device 10 predicts the future state of the carbon-containing fuel heat exchanger 1 based on the monitoring target data indicating the state quantity at the time of evaluating the state of the carbon-containing fuel heat exchanger 1.
  • the abnormality monitoring device 10 calculates a unit space of Mahalanobis based on the predicted value.
  • the abnormality monitoring device 10 sets monitoring target data indicating the amount of state at the time of evaluating the state of the carbon-containing fuel heat exchanger 1, and the control target setting value set when the carbon-containing fuel heat exchanger 1 is started.
  • the state of the carbon-containing fuel heat exchanger 1 will be predicted based on the following.
  • the abnormality monitoring device 10 calculates a unit space of Mahalanobis based on the predicted value.
  • the abnormality monitoring device 10 converts multidimensional data into one-dimensional data using the Mahalanobis distance. Then, the abnormality monitoring device 10 evaluates the difference between the unit space and the signal space by the Mahalanobis distance.
  • the signal space is data to be compared with the unit space, and is, for example, a state quantity when the state of the carbon-containing fuel heat exchanger 1 is evaluated.
  • the abnormality monitoring apparatus 10 obtains the Mahalanobis distance of the signal space using a matrix created from the unit space. This represents the anomaly of the data.
  • a control panel 14 which is an output unit is connected to the input / output unit 11 of the abnormality monitoring apparatus 10.
  • the control panel 14 is provided with a display 14D and input means 14C.
  • the display 14D is a display means.
  • the input unit 14C is a unit that inputs a command to the abnormality monitoring apparatus 10.
  • the storage unit 13 of the abnormality monitoring apparatus 10 is, for example, a volatile memory such as a random access memory (RAM), a non-volatile memory such as a read only memory (ROM), a hard disk drive, a magneto-optical disk drive, A read-only storage medium such as a CD-ROM or the like, or a combination thereof.
  • the storage unit 13 stores a computer program, data, and the like for realizing the method of monitoring and operating the carbon-containing fuel heat exchanger 1 according to the present embodiment.
  • the processing unit 12 implements the monitoring and operating method of the carbon-containing fuel heat exchanger 1 according to the present embodiment using these computer programs and data.
  • the processing unit 12 controls the operation of the carbon-containing fuel heat exchanger 1 using these computer programs and data.
  • the storage unit 13 may be provided outside the abnormality monitoring apparatus 10 so that the abnormality monitoring apparatus 10 can access the storage unit 13 via the communication line.
  • the number of items of a plurality of state quantities representing the state of the carbon-containing fuel heat exchanger 1 is u.
  • u is an integer of 2 or more.
  • the state quantities of the u item be X 1 to X u respectively.
  • the state quantities X 1 to X u are indicated by monitoring target data.
  • the j-th state quantity X 1 to X u of each item collected in the operating state is X 1 j to X uj .
  • j takes any value (integer) from 1 to v, which means that the number of state quantities is v. That is, the abnormality monitoring device 10 collects the state quantities X 11 to X uv .
  • the abnormality monitoring device 10 obtains the average value M i and the standard deviation ⁇ i (the degree of variation of the reference data) for each item of the state quantities X 11 to X uv by using Formula (1) and Formula (2).
  • i is the number of items (number of state quantities, integer).
  • i is set to 1 to u and represents a value corresponding to the state quantities X 1 to X u .
  • the standard deviation is the square root of the expected value obtained by squaring the difference between the state quantity and its average value.
  • the mean value M i and the standard deviation ⁇ i described above are state quantities indicating features.
  • the abnormality monitoring device 10 uses the calculated average value M i and the standard deviation ⁇ i to calculate the state quantities X 11 to X uv by the state quantities x 11 to x uv standardized by the following equation (3). Convert to That is, the abnormality monitoring device 10 converts the state quantity X ij of the carbon-containing fuel heat exchanger 1 into a random variable x ij with an average of 0 and a standard deviation of 1.
  • the abnormality monitoring apparatus 10 specifies the correlation of the state quantities X 11 to X uv . That is, the abnormality monitoring device 10 defines a covariance matrix (correlation matrix) R indicating the association between variables and an inverse matrix R ⁇ 1 of the covariance matrix (correlation matrix) by the following equation (4).
  • k is the number of items (the number of state quantities). That is, k is equal to u.
  • i and p indicate values in each state quantity, and take values 1 to u here.
  • the abnormality monitoring apparatus 10 obtains the Mahalanobis distance D, which is a state quantity indicating a feature, based on the following equation (5) after such arithmetic processing.
  • j takes any value (integer) from 1 to v. This means that the number of state quantities for each item is v.
  • k is the number of items (the number of state quantities). That is, k is equal to u.
  • a 11 to a kk are coefficients of the inverse matrix R ⁇ 1 of the covariance matrix R shown in the above-mentioned equation (4).
  • the Mahalanobis distance D is reference data.
  • the mean value of the Mahalanobis distance D in the unit space is 1.
  • the Mahalanobis distance D is approximately 3 or less.
  • the value of the Mahalanobis distance D is substantially larger than 3.
  • the Mahalanobis distance D has a property that the value is increased according to the degree of abnormality (the degree of separation from the unit space) of the state quantity of the carbon-containing fuel heat exchanger 1.
  • the abnormality monitoring device 10 uses at least temperatures of a plurality of positions in the flow direction G on the primary side of the heat exchanger 2 as parameters for calculating the Mahalanobis distance D.
  • soot is accumulated on the heat transfer surface 6 of the heat exchanger 2
  • the efficiency of heat exchange on the heat transfer surface 6 is reduced. Therefore, the temperature of the fuel is less likely to decrease on the primary side of the heat exchanger 2.
  • the abnormal time is smaller.
  • the abnormality monitoring device 10 calculates the Mahalanobis distance D based on the temperatures of the plurality of positions in the flow direction G of the heat transfer surface 6, and the heat exchange efficiency is reduced due to the blocking of a part of the heat transfer surface 6. Can be detected.
  • the differential pressure of the inlet / outlet on the primary side of the heat exchanger 2 rises (a state where the heat exchange efficiency is reduced due to the accumulation of soot on the heat transfer surface 6 (notably noticeable at the end of closing of the heat transfer surface 6). Occurs before). Therefore, according to the monitoring and operating method of the carbon-containing fuel heat exchanger 1 according to the present embodiment, before the abnormality in the carbon-containing fuel heat exchanger 1 becomes noticeable, the increase in differential pressure at the inlet / outlet on the primary side becomes remarkable. Can be determined.
  • the procedure of the monitoring and operating method of the carbon-containing fuel heat exchanger 1 according to the present embodiment will be described.
  • the monitoring and operating method of the carbon-containing fuel heat exchanger 1 according to the present embodiment is realized by the processing unit 12 of the abnormality monitoring device 10 shown in FIG.
  • FIG. 4 is a flowchart showing the procedure of the method of monitoring and operating the carbon-containing fuel heat exchanger according to the present embodiment.
  • the processing unit 12 acquires monitoring target data indicating a state amount from the carbon-containing fuel heat exchanger 1 in the current state amount acquisition period.
  • This state quantity is periodically acquired at predetermined time intervals from various sensors attached to the carbon-containing fuel heat exchanger 1, for example.
  • the state quantity is stored in the storage unit 13 of the abnormality monitoring apparatus 10.
  • step S2 the processing unit 12 calculates the Mahalanobis distance for each of the state quantities stored in the storage unit 13 according to the above equation.
  • step S3 the processing unit 12 compares the threshold set in advance with the Mahalanobis distance obtained in the previous step S2. The processing unit 12 determines whether the Mahalanobis distance exceeds the threshold. The processing unit 12 determines “abnormal” when the Mahalanobis distance exceeds the threshold value based on the determination result in step S3 (YES in step S4). The processing unit 12 determines “normal” when the Mahalanobis distance does not exceed the threshold value (step S5).
  • the abnormality monitoring device 10 changes the operating conditions of the removing device 5 in step S6.
  • the abnormality monitoring device 10 can remove the soot with the scrubbing device 5 before the soot is sintered in the carbon-containing fuel heat exchanger 1 and clogging occurs.
  • raising the frequency of use can be mentioned.
  • the abnormality monitoring apparatus 10 changes the operating conditions of the removing device 5 and determines that the carbon-containing fuel heat exchanger 1 is normal in step S4. It is preferable to restore the operating conditions.
  • the Mahalanobis distance exhibits a larger value according to the degree of abnormality as it gets farther from the unit space.
  • the Mahalanobis distance D is reference data.
  • the mean value of the Mahalanobis distance D in the unit space is 1.
  • the threshold can be appropriately set to a value larger than the maximum value of the unit space. Further, as the threshold value, it is possible to use a set value in consideration of the characteristic specific to the carbon-containing fuel heat exchanger 1, the manufacturing variation of the carbon-containing fuel heat exchanger 1, and the like.
  • the calculation of the Mahalanobis distance is at least at the flow direction G on the primary side of the heat exchanger 2 Temperatures at multiple locations are used.
  • soot is accumulated on the heat transfer surface 6 of the heat exchanger 2
  • the efficiency of heat exchange on the heat transfer surface 6 is reduced. Therefore, the temperature of the fuel does not easily decrease at the heat transfer surface 6 of the heat exchanger 2.
  • the difference between the temperature of the heat transfer surface 6 of the heat exchanger 2 at the normal time and the temperature of the heat transfer surface 6 of the heat exchanger 2 at the abnormal time is the downstream of the flow direction G from the upstream of the flow direction G Becomes larger.
  • the abnormality monitoring device 10 calculates the Mahalanobis distances D based on the temperatures of the plurality of positions in the flow direction G on the primary side, whereby the heat exchange efficiency is reduced due to the blocking of a part of the heat transfer surface 6 Can be detected.
  • the differential pressure at the inlet / outlet on the primary side of the heat exchanger 2 is increased, and the obstruction of the heat transfer surface 6 becomes remarkable. Occurs before.
  • the abnormality monitoring device 10 is configured to monitor the abnormality of the carbon-containing fuel heat exchanger 1 by the differential pressure at the inlet / outlet of the primary side. It can be determined before the rise becomes noticeable.
  • the abnormality monitoring device 10 adds the temperatures of the plurality of positions in the flow direction G on the primary side of the heat exchanger 2. Further, using the differential pressure at the inlet / outlet in the flow direction G on the primary side, the flow rate on the primary side, the plurality of temperatures in the flow direction W on the secondary side, and the flow rate of the heat exchange medium in the heat transfer tube 4 Calculate the distance. Thereby, the abnormality monitoring device 10 can determine the abnormality of the carbon-containing fuel heat exchanger 1 with high accuracy.
  • the abnormality monitoring device 10 includes the differential pressure at the inlet / outlet in the flow direction G on the primary side, the flow rate on the primary side, a plurality of temperatures in the flow direction W on the secondary side, and the inside of the heat transfer tube 4.
  • the Mahalanobis distance is calculated using the flow rate of the heat exchange medium is described, the present invention is not limited thereto.
  • the abnormality monitoring device 10 in addition to the temperatures of the plurality of positions in the flow direction G on the primary side of the heat exchanger 2, may have a differential pressure of inlet and outlet in the flow direction G on the primary side.
  • the Mahalanobis distance may be calculated using at least one of the flow rate on the primary side, the plurality of temperatures in the flow direction W on the secondary side, or the flow rate of the heat exchange medium in the heat transfer tube 4.
  • the monitoring and operating method of the carbon-containing fuel heat exchanger 1 shown in the second embodiment is different from the first embodiment in the Mahalanobis distance for each of the plurality of ranges in the flow direction G on the primary side. It is in the point to calculate. That is, as shown in FIG. 5, in the abnormality monitoring apparatus 10, in place of the Mahalanobis distance calculation process B for calculating the Mahalanobis distance shown in the first embodiment, a plurality of Mahalanobis distance calculation processes indicated by reference symbol B '. Find multiple Mahalanobis distances.
  • the abnormality monitoring apparatus 10 replaces each of the Mahalanobis distances and the threshold with a plurality of comparison processes indicated by a reference C 'instead of the comparison process C of comparing the calculated Mahalanobis distance shown in the first embodiment with the threshold. Compare
  • the processing unit 20 as shown in FIG. 5, a monitoring target data acquisition process A, a Mahalanobis distance calculation process B ', a comparison process C', an abnormality determination process D, and an operation condition change process. Perform E and each operation unit.
  • the monitoring target data acquisition process A is a process of acquiring monitoring target data indicating the amount of state of the carbon-containing fuel heat exchanger 1.
  • the Mahalanobis distance computing process B ′ is a process of computing the Mahalanobis distance for each of a plurality of ranges in the flow direction G on the primary side based on the acquired monitoring target data.
  • the comparison process C ′ is a process of comparing each calculated Mahalanobis distance with a threshold.
  • the abnormality determination process D is a process of determining the presence or absence of an abnormality based on the comparison result of the Mahalanobis distance and the threshold.
  • the operating condition changing process E changes the operating condition of the removing device 5 based on the result of the abnormality determination.
  • the abnormality monitoring device 10 can determine at which position in the flow direction G on the primary side of the heat exchanger 2 an abnormality has occurred in the abnormality determination process D.
  • the abnormality monitoring apparatus 10 changes the operation conditions so that the removal apparatus 5 is operated with emphasis on the portion of the heat exchanger 2 in which the abnormality has occurred in the operation condition changing process E. can do.
  • the abnormality monitoring device 10 at least in the flow direction G on the primary side of the heat exchanger 2 as in the first embodiment. Use temperatures at multiple locations. Therefore, according to the monitoring and operating method of the carbon-containing fuel heat exchanger 1 according to the present embodiment, the abnormality monitoring device 10 is configured to monitor the abnormality of the carbon-containing fuel heat exchanger 1 by the differential pressure at the inlet / outlet of the primary side. It can be determined before the rise becomes noticeable.
  • a plurality of abnormality monitoring devices 10 in the flow direction G on the primary side of the heat exchanger 2 Further, in addition to the temperature of the position of the inlet side, the differential pressure of the inlet / outlet in the flow direction G on the primary side, the flow rate on the primary side, a plurality of temperatures in the flow direction W on the secondary side, The Mahalanobis distance is calculated using the flow rate of Thereby, the abnormality monitoring device 10 can determine the abnormality of the carbon-containing fuel heat exchanger 1 with high accuracy.
  • the abnormality of the carbon-containing fuel heat exchanger can be determined at an early stage.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Physics & Mathematics (AREA)
  • Thermal Sciences (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

La présente invention concerne un procédé de surveillance et de fonctionnement d'échangeurs de chaleur pour des combustibles contenant du carbone, ledit procédé faisant appel à un traitement consistant à calculer la distance de Mahalanobis sur la base de températures dans une pluralité d'emplacements dans la direction d'écoulement dans une face de transfert de chaleur d'un échangeur de chaleur, ledit échangeur de chaleur étant destiné à des combustibles contenant du carbone, à un traitement consistant à déterminer la présence d'une anomalie sur la face de transfert de chaleur au moyen de la distance de Mahalanobis, et à un traitement consistant à modifier les conditions de fonctionnement d'un dispositif d'élimination.
PCT/JP2014/077311 2013-10-21 2014-10-14 Procédé de surveillance et de fonctionnement d'échangeurs de chaleur pour combustibles contenant du carbone WO2015060158A1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
US14/916,284 US20160216052A1 (en) 2013-10-21 2014-10-14 Method of monitoring and operating heat exchanger for fuels containing carbon
KR1020167005161A KR20160038000A (ko) 2013-10-21 2014-10-14 탄소 함유 연료 열교환기의 감시·운전 방법
CN201480047067.9A CN105531559A (zh) 2013-10-21 2014-10-14 含碳燃料热交换器的监视运行方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2013-218494 2013-10-21
JP2013218494A JP2015081695A (ja) 2013-10-21 2013-10-21 炭素含有燃料熱交換器の監視・運転方法

Publications (1)

Publication Number Publication Date
WO2015060158A1 true WO2015060158A1 (fr) 2015-04-30

Family

ID=52992758

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2014/077311 WO2015060158A1 (fr) 2013-10-21 2014-10-14 Procédé de surveillance et de fonctionnement d'échangeurs de chaleur pour combustibles contenant du carbone

Country Status (5)

Country Link
US (1) US20160216052A1 (fr)
JP (1) JP2015081695A (fr)
KR (1) KR20160038000A (fr)
CN (1) CN105531559A (fr)
WO (1) WO2015060158A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6362992B2 (ja) 2014-10-20 2018-07-25 三菱日立パワーシステムズ株式会社 熱交換器の監視装置及び熱交換器の監視方法
JP2022110701A (ja) * 2021-01-19 2022-07-29 東京エレクトロン株式会社 検査装置、制御方法及び制御プログラム
CN113702081B (zh) * 2021-08-27 2024-03-29 欧伏电气股份有限公司 换热芯体测试方法、电子设备、系统及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS61101701A (ja) * 1984-10-24 1986-05-20 ４７１１９９　オンタリオ　リミテツド ボイラの運転制御方法及び装置
JPH0244194A (ja) * 1988-05-19 1990-02-14 Shell Internatl Res Maatschappij Bv ラツピングサイクルの制御
JP2000259222A (ja) * 1999-03-04 2000-09-22 Hitachi Ltd 機器監視・予防保全システム
JP2003207188A (ja) * 2002-01-16 2003-07-25 Mitsubishi Electric Corp 冷凍空気調和装置およびその運転制御方法
WO2012099594A1 (fr) * 2011-01-21 2012-07-26 Clyde Bergemann, Inc. Souffleur de suie à détection de température
WO2013153705A1 (fr) * 2012-04-12 2013-10-17 住友重機械工業株式会社 Dispositif et procédé pour l'observation d'anomalies dans une chaudière à lit fluidisé circulant

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4703481A (en) * 1985-08-16 1987-10-27 Hewlett-Packard Company Method and apparatus for fault recovery within a computing system
WO1999013279A1 (fr) * 1997-09-11 1999-03-18 Daikin Industries, Ltd. Appareil et procede pour le nettoyage des tuyaux d'une unite de refrigeration
TW534972B (en) * 2001-06-26 2003-06-01 Sumitomo Chemical Co Method and device for detecting abnormality in process for exchanging heat
JP4396286B2 (ja) * 2004-01-21 2010-01-13 三菱電機株式会社 機器診断装置および機器監視システム
US7869888B2 (en) * 2006-05-31 2011-01-11 Tokyo Electron Limited Information processing apparatus, semiconductor manufacturing system, information processing method, and storage medium
CN201016870Y (zh) * 2006-10-20 2008-02-06 叶建荣 净水器滤水量、滤水流量检测电脑板
JP5260343B2 (ja) * 2009-02-03 2013-08-14 三菱重工業株式会社 プラント運転状態監視方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS61101701A (ja) * 1984-10-24 1986-05-20 ４７１１９９　オンタリオ　リミテツド ボイラの運転制御方法及び装置
JPH0244194A (ja) * 1988-05-19 1990-02-14 Shell Internatl Res Maatschappij Bv ラツピングサイクルの制御
JP2000259222A (ja) * 1999-03-04 2000-09-22 Hitachi Ltd 機器監視・予防保全システム
JP2003207188A (ja) * 2002-01-16 2003-07-25 Mitsubishi Electric Corp 冷凍空気調和装置およびその運転制御方法
WO2012099594A1 (fr) * 2011-01-21 2012-07-26 Clyde Bergemann, Inc. Souffleur de suie à détection de température
WO2013153705A1 (fr) * 2012-04-12 2013-10-17 住友重機械工業株式会社 Dispositif et procédé pour l'observation d'anomalies dans une chaudière à lit fluidisé circulant

Also Published As

Publication number Publication date
US20160216052A1 (en) 2016-07-28
CN105531559A (zh) 2016-04-27
KR20160038000A (ko) 2016-04-06
JP2015081695A (ja) 2015-04-27

Similar Documents

Publication Publication Date Title
JP6394726B2 (ja) 運用管理装置、運用管理方法、及びプログラム
JP6777069B2 (ja) 情報処理装置、情報処理方法、及び、プログラム
JP6183450B2 (ja) システム分析装置、及び、システム分析方法
JP6884078B2 (ja) プラント異常監視システム
CN107710089B (zh) 工厂设备诊断装置以及工厂设备诊断方法
WO2014091952A1 (fr) Dispositif de surveillance de capteur, procédé de surveillance de capteur et programme de surveillance de capteur
WO2015060158A1 (fr) Procédé de surveillance et de fonctionnement d'échangeurs de chaleur pour combustibles contenant du carbone
WO2019087508A1 (fr) Dispositif de sélection de cible de surveillance, procédé de sélection de cible de surveillance et programme
WO2014132611A1 (fr) Dispositif et procédé d'analyse de systèmes
JP6398383B2 (ja) 異常診断装置
KR20180137513A (ko) 감시 장치, 대상 장치의 감시 방법 및 프로그램
KR102073537B1 (ko) 리스크 평가 장치, 리스크 평가 시스템, 리스크 평가 방법 및 리스크 평가 프로그램
JP6632941B2 (ja) 設備監視装置及び設備監視方法
CN102706387A (zh) 冷凝器污垢系数检测装置
JP6503541B2 (ja) ポンプ異常検知システム、ポンプ異常検知方法、及びポンプ異常検知プログラム
JP6803788B2 (ja) 情報処理装置、情報処理方法およびプログラム
JP7454775B2 (ja) 異常診断装置、異常診断方法、及びプログラム
KR101997580B1 (ko) 상관도를 고려한 데이터 분류 방법 및 이 방법을 수행하기 위한 프로그램이 저장된 컴퓨터 판독가능한 저장매체
KR20200009081A (ko) 리스크 평가 장치, 리스크 평가 시스템, 리스크 평가 방법, 리스크 평가 프로그램 및 데이터 구조
WO2019026193A1 (fr) Dispositif, système et procédé de traitement d'informations, et support d'enregistrement
EP3388911B1 (fr) Dispositif de surveillance, procédé de surveillance et programme
WO2018003028A1 (fr) Dispositif de détermination de défaillance de chaudière, procédé de détermination de défaillance et procédé de service
JP2017203621A (ja) 炭素含有燃料熱交換器の監視・運転方法
JP2016045853A (ja) 異常診断装置及び異常診断方法
JP2005285005A (ja) プラントデータ処理装置と処理方法及びプログラム。

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 201480047067.9

Country of ref document: CN

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14855493

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 20167005161

Country of ref document: KR

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 14916284

Country of ref document: US

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 14855493

Country of ref document: EP

Kind code of ref document: A1