A method and apparatus for diagnosing performance degradation of a heavy-duty gas turbine inlet filter

Abstract

The application provides a heavy gas turbine intake filter performance degradation diagnosis method, including: collecting gas turbine operation data from after replacing the filter screen to the current time; obtaining a compressor pressure ratio-flow rate curve according to the operation data, and calculating an inlet air mass flow of the intake filter under an actual working condition according to the curve; fitting a pressure drop loss of the clean state intake filter based on the operation data to obtain a standard pressure drop loss fitting formula; calculating a standard pressure drop loss of the intake filter under the actual working condition, and combining the actual pressure drop loss to obtain an intake filter performance degradation coefficient; calculating a gas turbine intake filter replacement cost by using the intake filter performance degradation coefficient; and evaluating an optimal replacement time of the intake filter based on a principle that a unit power generation cost of the gas turbine intake filter in a whole life cycle is minimum, and performing secondary diagnosis and tertiary diagnosis after the optimal replacement time, so that second and third expected maintenance nodes are determined, and accurate references are provided for an operation and maintenance personnel to arrange maintenance and replacement of the intake filter according to production requirements.

Description

Technical Field

[0001] This application relates to the field of gas circuit fault diagnosis technology for heavy-duty gas turbines, and in particular to a method and apparatus for diagnosing performance degradation of the intake filter of a heavy-duty gas turbine. Background Technology

[0002] Gas turbines are common heat-to-work conversion devices in the energy and power sector. Maintaining good intake air quality is a crucial prerequisite for ensuring the normal operation and lifespan management of gas turbines. The gas turbine intake filter, located at the front of the gas turbine, adsorbs impurities from the air and directly determines the quality and purity of the intake air, making it an indispensable safety system for gas turbines.

[0003] After a period of use, the performance of gas turbine inlet filters degrades. Severe degradation leads to decreased filtration efficiency and increased filtration pressure differential, resulting in decreased gas turbine performance and component damage. Therefore, timely maintenance is crucial before severe degradation occurs to ensure filtration performance. Current diagnostic methods for gas turbine inlet filters primarily measure the pressure loss (filter pressure differential) after airflow through the filter. When the filter pressure differential reaches a set alarm value, an alarm signal is issued to prompt filter maintenance. However, the actual operating load of the gas turbine and ambient temperature significantly impact the filtration performance of the inlet filter. Assessing the performance of the gas turbine inlet filter solely based on the filter pressure differential may result in either over-maintenance or under-maintenance of the inlet filter. Summary of the Invention

[0004] This application aims to at least partially address one of the technical problems in the related art.

[0005] Therefore, the first objective of this application is to propose a method for diagnosing the performance degradation of a heavy-duty gas turbine intake filter, which solves the technical problem that existing methods cannot accurately assess the performance of the gas turbine intake filter, leading to over-maintenance and under-maintenance of the gas turbine intake filter, and realizes a comprehensive and accurate classification diagnosis and assessment of the performance degradation degree of the gas turbine intake filter.

[0006] The second objective of this application is to provide a diagnostic device for the performance degradation of a heavy-duty gas turbine inlet filter.

[0007] The third objective of this application is to propose a computer device.

[0008] To achieve the above objectives, the first aspect of this application proposes a method for diagnosing the performance degradation of an intake filter for a heavy-duty gas turbine, comprising: collecting operating data of the intake filter from the time of filter replacement to the current time; obtaining a curve showing the relationship between compressor pressure ratio and flow rate based on the operating data, and calculating the inlet air mass flow rate of the intake filter under actual operating conditions based on the curve; fitting the pressure drop loss of the intake filter in a clean state based on the operating data to obtain a standard pressure drop loss fitting formula, calculating the standard pressure drop loss of the intake filter under actual operating conditions using the fitting formula, and comparing the standard pressure drop loss of the intake filter under the current operating conditions with the actual pressure drop loss of the intake filter. By comparing the actual pressure drop loss with the standard pressure drop loss and fully considering the impact of environmental conditions such as inlet air temperature on the filtration pressure difference of the inlet filter, an inlet filter performance degradation coefficient is obtained, enabling a relatively accurate quantitative assessment of the performance degradation degree of the gas turbine inlet filter. Based on the principle of minimizing the replacement cost per unit of power generation throughout the gas turbine inlet filter's entire life cycle, the optimal replacement time of the inlet filter is evaluated. After this optimal replacement time, secondary and tertiary diagnostics are performed to determine the second and third expected maintenance nodes, providing an accurate reference for operation and maintenance personnel to schedule inlet filter maintenance and replacement according to production needs. This method requires no additional measuring points and has good engineering applicability to various types of gas turbines.

[0009] Optionally, in one embodiment of this application, the pressure ratio of the compressor is expressed as:

[0010]

[0011] Where P3 represents the air pressure at the compressor outlet and P2 represents the air pressure at the compressor inlet after the intake filter.

[0012] Optionally, in one embodiment of this application, the standard pressure drop loss is the pressure drop loss of the intake filter without performance degradation under actual operating conditions and actual intake conditions, and the standard pressure drop loss is expressed as:

[0013] ΔP filter，0 =ΔP * filter (μ,ρ,m)·(kT+b)

[0014] Wherein, ΔP filter,0 The standard pressure drop loss is represented by μ, the dynamic viscosity of the air at the inlet of the intake filter at the current moment is represented by m, the mass flow rate of the air at the compressor inlet at the current moment is represented by ρ, the density of the air at the inlet of the intake filter at the current moment is represented by T, and k and b are constants.

[0015] The actual pressure drop loss is expressed as:

[0016] ΔP filter,real =ΔP

[0017] Wherein, ΔP represents the air pressure at the air outlet of the air intake filter;

[0018] The performance degradation coefficient of the intake filter is expressed as:

[0019]

[0020] Wherein, ΔP filter,real ΔP represents the actual pressure drop loss. filter,0 This indicates the standard pressure drop loss.

[0021] Optionally, in one embodiment of this application, after calculating the performance degradation coefficient of the intake filter, the method further includes:

[0022] Calculate the replacement cost of the gas turbine intake filter;

[0023] Based on the replacement cost of the gas turbine intake filter, a primary diagnostic test is performed to determine the optimal maintenance point;

[0024] If the filter is not replaced at the optimal maintenance point, a secondary diagnosis is performed based on the replacement cost of the gas turbine intake filter to obtain the second expected maintenance point.

[0025] If the filter is not replaced at the second expected maintenance node, a third expected maintenance node is determined by performing a three-level diagnosis based on the replacement cost of the gas turbine intake filter.

[0026] The replacement cost of the gas turbine intake filter is the cost per kilowatt-hour of electricity for replacing the intake filter, which is expressed as:

[0027]

[0028] Among them, C life C represents the cost per kilowatt-hour of electricity required to replace the air intake filter. total This represents the replacement cost of the gas turbine intake filter over its entire lifespan, T.

[0029] The replacement cost of the gas turbine intake filter over its entire lifespan T is expressed as:

[0030] C total =C1+C2+C3

[0031] Among them, C total C1 represents the initial replacement cost of the gas turbine intake filter over its entire lifespan T, C2 represents the additional costs incurred during the operation of the unit, and C3 represents the downtime replacement cost of the unit.

[0032] The initial replacement cost of the device includes the purchase cost of the device and the labor cost of installation;

[0033] The additional costs incurred during the operation of the device are expressed as follows:

[0034]

[0035] Where C2 represents the additional costs incurred during the operation of the device, C e Let T be the grid connection price, T be the lifecycle, ΔP(t) be the power generated less by the unit when it is running at full load within cycle T, P(t) be the actual power generated by the unit, and ΔD(t) be the amount of fuel consumed more to generate the same amount of electricity due to the increased filter pressure difference. ΔP(t) and ΔD(t) are expressed as follows:

[0036] ΔP(t)=P(t)×k1×(f s -f s,clean )

[0037] ΔD(t)=D(t)×k2×(f s -f s,clean )

[0038] Where D(t) is the amount of fuel required to generate the same amount of electricity, f s f is the performance degradation coefficient of the gas turbine intake filter during actual operation. s,clean K1 and K2 are constants and represent the performance degradation coefficients at the time of gas turbine intake filter replacement.

[0039] Optionally, in one embodiment of this application, the optimal maintenance node is the moment when the cost per kilowatt-hour for replacing the gas turbine filter is lowest, and the optimal maintenance node is expressed as:

[0040]

[0041] Among them, C life,th For optimal maintenance node t th The corresponding lowest cost per kilowatt-hour, f s,th The first parameter, the threshold, represents the performance degradation coefficient of the intake filter. For optimal maintenance node t th The corresponding intake filter performance degradation coefficient.

[0042] The second expected maintenance node is the moment when the increase in cost per kilowatt-hour relative to the minimum cost per kilowatt-hour equals a first relative growth threshold for the cost per kilowatt-hour. The second expected maintenance node is expressed as follows:

[0043]

[0044] Among them, C life,sec To maintain the second desired node t sec The corresponding levelized cost of electricity (LCOE), a1 represents the relative growth rate of LCOE at the second expected maintenance node relative to the optimal maintenance node, Clife,th For optimal maintenance node t th The corresponding lowest cost per kilowatt-hour, t th For optimal maintenance node, f s,sec The second parameter, the threshold, represents the coefficient of performance degradation of the intake filter. To maintain the second desired node t sec The corresponding intake filter performance degradation coefficient.

[0045] The third expected maintenance node is the moment when the increase in cost per kilowatt-hour relative to the minimum cost per kilowatt-hour equals the second relative growth threshold of the cost per kilowatt-hour. The third expected maintenance node is expressed as follows:

[0046]

[0047] Among them, C life,third For the third expected maintenance node t third The corresponding levelized cost of electricity (LCOE), a2 represents the relative growth rate of LCOE at the third expected maintenance node relative to the optimal maintenance node, C life,third For optimal maintenance node t th The corresponding lowest cost per kilowatt-hour, t th For optimal maintenance node, f s,third The third parameter, the threshold, represents the performance degradation coefficient of the intake filter. Indicates the third expected maintenance node t third The corresponding intake filter performance degradation coefficient.

[0048] To achieve the above objectives, a second aspect of the present invention provides a diagnostic device for the performance degradation of a heavy-duty gas turbine inlet filter, comprising a data acquisition module, a first processing module, a second processing module, a first calculation module, and a second calculation module, wherein...

[0049] The data acquisition module is used to collect the operating data of the intake filter from the time the filter screen was replaced to the current time. The operating data includes the operating data at the time of filter screen replacement.

[0050] The first processing module is used to obtain the relationship curve between compressor pressure ratio and flow rate based on the operating data, and to calculate the inlet air mass flow rate of the intake filter under actual operating conditions based on the relationship curve.

[0051] The second processing module is used to fit the pressure drop loss of the clean air intake filter based on the operating data to obtain the standard pressure drop loss fitting formula.

[0052] The first calculation module is used to obtain the standard pressure drop loss of the intake filter based on the actual operating data and the fitting formula, and to calculate the performance degradation coefficient of the intake filter in combination with the actual pressure drop loss.

[0053] The second calculation module is used to calculate the replacement cost of the gas turbine intake filter based on the filter's performance degradation coefficient.

[0054] Furthermore, in this embodiment of the application, a diagnostic module is also included, specifically used for:

[0055] Based on the replacement cost of the gas turbine intake filter, a primary diagnostic test is performed to determine the optimal maintenance point;

[0056] If the filter is not replaced at the optimal maintenance point, a secondary diagnosis is performed based on the replacement cost of the gas turbine intake filter to obtain the second expected maintenance point.

[0057] If the filter is not replaced at the second expected maintenance node, a third expected maintenance node is determined by performing a three-level diagnosis based on the replacement cost of the gas turbine intake filter.

[0058] To achieve the above objectives, a third aspect of the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned method for diagnosing the performance degradation of the heavy-duty gas turbine intake filter.

[0059] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0060] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0061] Figure 1 This is a flowchart illustrating a method for diagnosing performance degradation of a heavy-duty gas turbine inlet filter, as provided in Embodiment 1 of this application.

[0062] Figure 2 This is a schematic diagram of the performance degradation classification and diagnosis process of the heavy-duty gas turbine intake filter according to an embodiment of this application;

[0063] Figure 3 This is an example diagram illustrating the relationship between the replacement cost per unit of power generation and operating time throughout the entire life cycle of the heavy-duty gas turbine intake filter according to an embodiment of this application.

[0064] Figure 4 This is a schematic diagram of a heavy-duty gas turbine intake filter performance degradation diagnostic device provided in an embodiment of this application. Detailed Implementation

[0065] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0066] In this invention, the parameters represented by each reference numeral have the following meanings:

[0067] 1. The optimal maintenance time t for the gas turbine intake filter in this embodiment of the invention th 2. The minimum comprehensive cost of electricity (C) over the entire life cycle of the gas turbine intake filter in this embodiment of the invention. life,th 3. The optimal replacement threshold f for the performance degradation coefficient of the gas turbine intake filter in this embodiment of the invention. s,th 4. The second expected maintenance node t th,sec 5. The overall levelized cost of electricity (LCOE) of replacing the gas turbine intake filter at the second expected maintenance node (C). life,sec 6. The second replacement threshold f for the performance degradation coefficient of the gas turbine intake filter. s,sec 7. The third expected maintenance node t th,third 8. The comprehensive levelized cost of electricity (LCOE) of replacing the gas turbine intake filter at the third expected maintenance node (C). life,third 9. The third replacement threshold f for the performance degradation coefficient of the gas turbine intake filter. s,third .

[0068] The following describes a method and apparatus for diagnosing performance degradation of a heavy-duty gas turbine inlet filter according to embodiments of this application, with reference to the accompanying drawings.

[0069] Figure 1 This is a flowchart illustrating a method for diagnosing performance degradation of a heavy-duty gas turbine intake filter, as provided in Embodiment 1 of this application.

[0070] like Figure 1 As shown, the method for diagnosing performance degradation of the heavy-duty gas turbine inlet filter includes the following steps:

[0071] Step 101: Collect the operating data of the intake filter from the time the filter was replaced to the current time;

[0072] Step 102: Obtain the relationship curve between compressor pressure ratio and flow rate based on the operating data, and calculate the inlet air mass flow rate of the intake filter under actual operating conditions based on the relationship curve.

[0073] Step 103: Fit the pressure drop loss of the intake filter in the clean state based on the operating data to obtain the standard pressure drop loss fitting formula;

[0074] Step 104: Obtain the standard pressure drop loss of the intake filter based on the actual operating data and the fitting formula, and calculate the performance degradation coefficient of the intake filter in combination with the actual pressure drop loss.

[0075] Step 105: Calculate the replacement cost of the gas turbine intake filter based on the performance degradation coefficient of the intake filter;

[0076] Step 106: Based on the principle of minimizing the cost per kilowatt-hour during the gas turbine intake filter replacement cycle, perform intake filter performance degradation diagnosis.

[0077] The method for diagnosing the performance degradation of the intake filter in a heavy-duty gas turbine, as described in this application, collects actual operating data of the gas turbine and calculates the standard pressure drop loss of the intake filter under actual operating conditions using a fitting formula. It also fully considers the influence of environmental conditions such as intake air temperature on the filtration pressure difference of the intake filter, achieving a relatively accurate quantitative assessment of the degree of performance degradation. Based on the principle of minimizing the replacement cost per unit of power generation throughout the entire life cycle of the gas turbine intake filter, it evaluates the optimal replacement time for the intake filter. After this optimal replacement time, secondary and tertiary diagnoses are performed to determine the second and third expected maintenance nodes. This provides an accurate reference for operation and maintenance personnel to schedule intake filter maintenance and replacement according to production needs. This method requires no additional measuring points and has good engineering applicability to various types of gas turbines.

[0078] Optionally, in one embodiment of this application, the pressure ratio of the compressor is expressed as:

[0079]

[0080] Where P3 represents the air pressure at the compressor outlet and P2 represents the air pressure at the compressor inlet after the intake filter.

[0081] Optionally, in one embodiment of this application, the standard pressure drop loss is the pressure drop loss of the intake filter without performance degradation under actual operating conditions and actual intake conditions, and the standard pressure drop loss is expressed as:

[0082] ΔP filter，0 =ΔP * filter (μ,ρ,m)·(kT+b)

[0083] Wherein, ΔP filter,0 The standard pressure drop loss is represented by μ, the dynamic viscosity of the air at the inlet of the intake filter at the current moment is represented by m, the mass flow rate of the air at the compressor inlet at the current moment is represented by ρ, the density of the air at the inlet of the intake filter at the current moment is represented by T, and k and b are constants.

[0084] The actual pressure drop loss is expressed as:

[0085] ΔP filter,real =ΔP

[0086] Wherein, ΔP represents the air pressure at the air outlet of the air intake filter;

[0087] The performance degradation coefficient of the intake filter is expressed as:

[0088]

[0089] Wherein, ΔP filter,real ΔP represents the actual pressure drop loss. filter,0 This indicates the standard pressure drop loss.

[0090] Calculate the replacement cost of the gas turbine intake filter;

[0091] Optionally, in one embodiment of this application, after calculating the performance degradation coefficient of the intake filter, the method further includes:

[0092] Calculate the replacement cost of the gas turbine intake filter;

[0093] Based on the replacement cost of the gas turbine intake filter, a primary diagnostic test is performed to determine the optimal maintenance point;

[0094] If the filter is not replaced at the optimal maintenance point, a secondary diagnosis is performed based on the replacement cost of the gas turbine intake filter to obtain the second expected maintenance point.

[0095] If the filter is not replaced at the second expected maintenance node, a third expected maintenance node is determined by performing a three-level diagnosis based on the replacement cost of the gas turbine intake filter.

[0096] The replacement cost of the gas turbine intake filter is the cost per kilowatt-hour of electricity for replacing the intake filter, which is expressed as:

[0097]

[0098] Among them, C life C represents the cost per kilowatt-hour of electricity required to replace the air intake filter. total This represents the replacement cost of the gas turbine intake filter over its entire lifespan, T.

[0099] The replacement cost of the gas turbine intake filter over its entire lifespan T is expressed as:

[0100] C total =C1+C2+C3

[0101] Among them, C totalC1 represents the initial replacement cost of the gas turbine intake filter over its entire lifespan T, C2 represents the additional costs incurred during the operation of the unit, and C3 represents the downtime replacement cost of the unit.

[0102] The initial replacement cost of the device includes the purchase cost of the device and the labor cost of installation;

[0103] The additional costs incurred during the operation of the equipment are expressed as follows:

[0104] The additional costs incurred during the operation of the device are expressed as follows:

[0105]

[0106] Where C2 represents the additional costs incurred during the operation of the device, C e Let T be the grid-connected electricity price, T be the lifecycle, ΔP(t) be the power output less than the unit's output when operating at full load within cycle T, P(t) be the actual power output of the unit, and ΔD(t) be the amount of fuel consumed to generate the same amount of electricity due to increased filter pressure differential. The calculation methods for ΔP(t) and ΔD(t) are as follows:

[0107] ΔP(t)=P(t)×k1×(f s -f s,clean )

[0108] ΔD(t)=D(t)×k2×(f s -f s,clean )

[0109] Where D(t) is the amount of fuel required to generate the same amount of electricity, f s is the performance degradation coefficient of the gas turbine intake filter, fs,clean is the performance degradation coefficient of the gas turbine intake filter at the beginning of replacement, k1 and k2 are constants, and the preferred values ​​are k1 = 0.0075 and k2 = 0.0025.

[0110] Optionally, in one embodiment of this application, the optimal maintenance node is the moment when the cost per kilowatt-hour for replacing the gas turbine filter is lowest, and the optimal maintenance node is expressed as:

[0111]

[0112] Among them, C life,th For optimal maintenance node t th The corresponding lowest cost per kilowatt-hour, f s,th The first parameter, the threshold, represents the performance degradation coefficient of the intake filter. For optimal maintenance node t th The corresponding intake filter performance degradation coefficient.

[0113] The second expected maintenance node is the moment when the increase in cost per kilowatt-hour relative to the minimum cost per kilowatt-hour equals a first relative growth threshold for the cost per kilowatt-hour. The second expected maintenance node is expressed as follows:

[0114]

[0115] Among them, C life,sec To maintain the second desired node t sec The corresponding levelized cost of electricity (LCOE), a1 represents the relative growth rate of LCOE at the second expected maintenance node relative to the optimal maintenance node, this value can be set by the user, C life,th For optimal maintenance node t th The corresponding lowest cost per kilowatt-hour, t th For optimal maintenance node, f s,sec The second parameter, the threshold, represents the coefficient of performance degradation of the intake filter. To maintain the second desired node t sec The corresponding intake filter performance degradation coefficient.

[0116] The third expected maintenance node is the moment when the increase in cost per kilowatt-hour relative to the minimum cost per kilowatt-hour equals the second relative growth threshold of the cost per kilowatt-hour. The third expected maintenance node is expressed as follows:

[0117]

[0118] Among them, C life,third For the third expected maintenance node t third The corresponding levelized cost of electricity (LCOE), a2 represents the relative growth rate of LCOE at the third expected maintenance node relative to the optimal maintenance node, this value can be set by the user, C life,third For optimal maintenance node t th The corresponding lowest cost per kilowatt-hour, t th For optimal maintenance node, f s,third The third parameter, the threshold, represents the performance degradation coefficient of the intake filter. Indicates the third expected maintenance node t third The corresponding intake filter performance degradation coefficient.

[0119] The following uses the intake filter of a certain type F gas turbine as an example. Data from one maintenance cycle (approximately 5100 hours of operation) of the intake filter is selected. The performance degradation diagnosis method for heavy-duty gas turbine intake filters proposed in this invention is used to diagnose the degree of performance degradation of the intake filter during this period, and to determine the optimal maintenance time node, the second expected maintenance node, and the third expected maintenance node. The diagnostic process is as follows: Figure 2 The above includes:

[0120] The specific steps are as follows:

[0121] Step 1: Collect data.

[0122] Use pressure gauge 1 to measure the air pressure P1 at the air inlet of the air intake filter at the current moment;

[0123] Use pressure gauge 2 to measure the current air pressure P2 at the air outlet of the air inlet filter;

[0124] The air pressure P3 at the compressor inlet after the intake filter is measured using pressure sensor 1.

[0125] The air pressure P4 at the compressor outlet of the heavy-duty gas turbine is measured using pressure sensor 2.

[0126] The air temperature T at the air inlet of the air intake filter at the current moment is measured using thermometer 1;

[0127] Step 2: Obtain the relationship curve between compressor pressure ratio and flow rate, and further calculate the inlet air mass flow rate of the intake filter under the current actual operating conditions based on the pressure ratio;

[0128] Compressor pressure ratio:

[0129]

[0130] Step 3: Using Fochheimer's law of permeation flow in porous media (applicable when the Mach number of the airflow at the inlet of the air filter is greater than 20), the pressure drop loss of the air filter is fitted:

[0131] ΔP filter =α1μV+β1ρV 2 (2)

[0132] In formula (2): α1 and β1 are constants, which are related to the material, shape, size and layout of the filter screen; μ is the dynamic viscosity of the air at the inlet of the air filter, which can be obtained by consulting the property table or fitting; ρ is the density of the air at the inlet of the air filter, which can be obtained by consulting the property table or fitting; V is the air inlet velocity of the air filter.

[0133] Note that the mass flow rate of the incoming air can be expressed by the following formula:

[0134] m=ρVA (3)

[0135] Substituting formula (3) into formula (2), we get:

[0136]

[0137] In formula (4): α and β are constants, which are related to the material, shape, size and layout of the filter screen; m is the mass flow rate of the air at the compressor inlet.

[0138] To further consider the impact of temperature on the filtration performance of the intake filter, a correction function f is introduced. T Correct for pressure loss in the intake filter:

[0139]

[0140] In formula (5), the correction function fT is approximately a linear function of temperature:

[0141] f T =kT+b (6)

[0142] Substituting equation (6) into equation (5), we obtain the pressure loss of the intake filter after temperature correction as follows:

[0143]

[0144] In formula (7), k and b are constants, which are related to the material, structure and size of the air intake filter itself.

[0145] The initial period of filter replacement is considered the period when the intake filter performance is at its best, and it is assumed that the intake filter performance has not deteriorated during this period. Based on the data collected at the initial period of filter replacement, combined with the pressure drop loss fitting formula (7) obtained in Step 3, the constants α, β, k, and b in the intake filter pressure drop loss fitting formula (7) can be obtained.

[0146] Step 4: Calculate the performance degradation coefficient of the intake filter;

[0147] The pressure drop of the intake filter that has not experienced performance degradation under actual operating conditions and actual intake conditions is recorded as the standard pressure drop loss. Based on the data obtained in Step 1 and Step 2, and combined with the constants in the fitting formula obtained in Step 3, the standard pressure drop loss of the gas turbine intake filter during actual operation can be obtained:

[0148]

[0149] In formula (8): α, β, k, b are constants in the standard pressure drop loss fitting formula obtained in Step 3; μ is the dynamic viscosity of the air at the inlet of the intake filter at the current moment, which can be obtained by consulting the property table or fitting; ρ is the density of the air at the inlet of the intake filter at the current moment, which can be obtained by consulting the property table or fitting; T is the air inlet velocity of the intake filter at the current moment; m is the compressor intake mass flow rate at the current moment.

[0150] Based on the data collected in Step 1, the pressure drop loss of the intake filter under actual operating conditions can be obtained as follows:

[0151] ΔP filter,real =ΔP (9)

[0152] Define the performance degradation factor f of the intake filter. s as follows:

[0153]

[0154] According to formula (10), the performance degradation coefficient of the intake filter under actual working conditions can be obtained.

[0155] Step 5: Cost calculation for replacing the gas turbine intake filter;

[0156] Figure 3 This is an example graph illustrating the relationship between the replacement cost per unit of power generation and operating time throughout the entire lifecycle of the gas turbine intake filter provided in this embodiment. Figure 3 As shown, 1 represents the optimal replacement time, 2 represents the minimum cost per kilowatt-hour within the filter replacement cycle, 3 represents the first parameter threshold of the intake filter performance degradation coefficient, 4 represents the second expected maintenance node, 5 represents the cost per kilowatt-hour corresponding to the second expected maintenance node, 6 represents the second parameter threshold of the intake filter performance degradation coefficient, 7 represents the third expected maintenance node, 8 represents the cost per kilowatt-hour corresponding to the third expected maintenance node, and 9 represents the third parameter threshold of the intake filter performance degradation coefficient.

[0157] Based on the actual operating conditions of the gas turbine intake filter, and taking the principle of minimizing the replacement cost per unit of power generation over the filter's entire lifespan, the optimal replacement time for the gas turbine intake filter is calculated using the following method. The calculation steps are as follows:

[0158] Initial cost C1 for replacing the gas turbine intake filter:

[0159] The initial cost C1 for replacing the gas turbine intake filter includes the purchase cost of the device and the labor cost of installation. In this embodiment, the initial cost for replacing the gas turbine intake filter is 300,000 yuan.

[0160] Additional costs C2 incurred during the operation of the equipment:

[0161] The additional cost C2 incurred during the operation of the equipment is:

[0162]

[0163] in:

[0164] ΔP(t)=P(t)×k1×(f s,n -f s,clean (12)

[0165] ΔD(t)=D(t)×k2×(f s,n -f s,clean (13)

[0166] In the formula: C e The feed-in tariff is 0.571 yuan in this embodiment; C g The price of natural gas in this embodiment is 2.6 yuan per cubic meter; ΔP(t) is the power output less than the unit's full-load operation within period T. In this embodiment, the gas turbine unit does not operate at full load for a long time, so this value is recorded as 0; P(t) is the actual power output of the unit; ΔD(t) is the amount of fuel consumed more to generate the same amount of electricity due to the increased filter pressure difference; D(t) is the amount of fuel required to generate the same amount of electricity; f s,n f is the fitted value of the performance degradation coefficient of the gas turbine intake filter based on historical operating data; s,clean This represents the performance degradation coefficient after the gas turbine intake filter is replaced.

[0167] In this embodiment, the preferred values ​​for k1 and k2 are k1 = 0.0075 and k2 = 0.0025.

[0168] Downtime replacement cost C3:

[0169] In this embodiment, the gas turbine combined cycle unit is a peak-shaving unit that starts during the day and stops at night, so the downtime replacement cost C3 of the unit does not need to be included.

[0170] The replacement cost C of the gas turbine intake filter over its entire life cycle T. total :

[0171] The main cost of gas turbine inlet filters throughout their entire lifecycle is C total It includes three parts: the initial cost of the equipment C1, the additional costs incurred during the operation of the equipment C2, and the downtime replacement cost of the equipment C3.

[0172] C total =C1+C2+C3 (14)

[0173] The cost per kilowatt-hour (kWh) of replacing the air filter (C) life :

[0174] For every additional kilowatt-hour of electricity generated by the unit, the included cost of replacing the air intake filter is C. life for:

[0175]

[0176] Step 6: Graded diagnosis of performance degradation of gas turbine intake filter;

[0177] Level 1 Diagnosis: Optimal Maintenance Node;

[0178] There exists an optimal running time t. th (t th =4447h), which minimizes the cost per kilowatt-hour for gas turbine filter replacement.life,th At this point, the intake filter degradation parameter threshold f s,th This is the optimal replacement threshold for the gas turbine intake filter. Based on the principle of minimizing the replacement cost per unit of electricity generated over the filter's entire lifespan, it should be set at the point where the operating time is t. th We should start considering replacing the air intake filter at that time.

[0179]

[0180] Secondary diagnosis: Second expected maintenance node

[0181] In actual operation, the gas turbine may not be able to perform intake filter replacement at the optimal maintenance point. It is necessary to perform secondary diagnostics on the intake filter performance to determine the second expected maintenance point.

[0182] Select the best maintenance node T th Subsequently, the moment when the overall levelized cost of replacing the gas turbine intake filter increases by a1 (a1>0) relative to the minimum levelized cost is taken as the second expected maintenance node t. sec If maintenance is performed at this point in time, the overall cost per kilowatt-hour for replacing the intake filter remains low, and the intake filter performance degradation coefficient f is low at this time. s,sec This is the second replacement threshold for the gas turbine intake filter.

[0183]

[0184] Preferably, in this embodiment, a1 = 5%.

[0185] Level 3 Diagnosis: Third Expected Maintenance Node

[0186] Furthermore, a three-level diagnostic test is performed on the intake filter performance to determine the third expected maintenance node. The optimal maintenance node T is then selected. th Subsequently, the moment when the overall levelized cost of replacing the gas turbine intake filter increases by a2 (a2>a1) relative to the minimum levelized cost is taken as the third expected maintenance node t. third If maintenance is performed at this point in time, the overall cost per kilowatt-hour for replacing the intake filter is still relatively low, and the performance degradation coefficient f of the intake filter is low at this time. s,third This is the third replacement threshold for the gas turbine intake filter. At the third expected maintenance point, the performance degradation of the gas turbine intake filter is already quite severe, and it is recommended to perform maintenance and replacement of the intake filter as soon as possible.

[0187]

[0188] Preferably, in this embodiment, a2 = 10%.

[0189] To achieve the above embodiments, this application also proposes a diagnostic device for the performance degradation of a heavy-duty gas turbine intake filter.

[0190] Figure 4 This is a schematic diagram of a heavy-duty gas turbine intake filter performance degradation diagnostic device provided in an embodiment of this application.

[0191] like Figure 4 As shown, the heavy-duty gas turbine intake filter performance degradation diagnostic device includes a data acquisition module, a first processing module, a second processing module, a first calculation module, and a second calculation module, wherein...

[0192] The data acquisition module is used to collect the operating data of the intake filter from the time the filter screen was replaced to the current time. The operating data includes the operating data at the time of filter screen replacement.

[0193] The first processing module is used to obtain the relationship curve between compressor pressure ratio and flow rate based on the operating data, and to calculate the inlet air mass flow rate of the intake filter under actual operating conditions based on the relationship curve.

[0194] The second processing module is used to fit the pressure drop loss of the clean air intake filter based on the operating data to obtain the standard pressure drop loss fitting formula.

[0195] The first calculation module is used to obtain the standard pressure drop loss of the intake filter based on the actual operating data and the fitting formula, and to calculate the performance degradation coefficient of the intake filter in combination with the actual pressure drop loss.

[0196] The second calculation module is used to calculate the replacement cost of the gas turbine intake filter based on the filter's performance degradation coefficient.

[0197] Furthermore, in this embodiment of the application, a diagnostic module is also included, specifically used for:

[0198] Based on the replacement cost of the gas turbine intake filter, a primary diagnostic test is performed to determine the optimal maintenance point;

[0199] If the filter is not replaced at the optimal maintenance point, a secondary diagnosis is performed based on the replacement cost of the gas turbine intake filter to obtain the second expected maintenance point.

[0200] If the filter is not replaced at the second expected maintenance node, a third expected maintenance node is determined by performing a three-level diagnosis based on the replacement cost of the gas turbine intake filter.

[0201] It should be noted that the foregoing explanation of the embodiment of the method for diagnosing the performance degradation of the intake filter of a heavy-duty gas turbine also applies to the device for diagnosing the performance degradation of the intake filter of a heavy-duty gas turbine in this embodiment, and will not be repeated here.

[0202] To implement the above embodiments, the present invention also proposes a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in the above embodiments.

[0203] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0204] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0205] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0206] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0207] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0208] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0209] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0210] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for diagnosing performance degradation of an intake filter for a heavy-duty gas turbine, characterized in that, Includes the following steps: Collect operating data of the intake filter from the time the filter was replaced to the current time, wherein the operating data includes the operating data at the time of filter replacement; The relationship curve between compressor pressure ratio and flow rate is obtained based on the operating data, and the inlet air mass flow rate of the intake filter under actual operating conditions is calculated based on the relationship curve. Based on the aforementioned operating data, the pressure drop loss of the intake filter in a clean state is fitted to obtain a standard pressure drop loss fitting formula. The standard pressure drop loss of the intake filter is obtained based on the actual operating data and the fitting formula, and the performance degradation coefficient of the intake filter is calculated by combining the actual pressure drop loss. Calculate the replacement cost of the gas turbine intake filter based on the performance degradation coefficient of the intake filter; Based on the replacement cost of the gas turbine intake filter, a first-level diagnosis is performed to obtain the optimal maintenance node. The first-level diagnosis is based on the principle of minimizing the cost per kilowatt-hour over the entire life cycle to find the optimal replacement time. If the gas turbine intake filter is not replaced at the optimal maintenance point, a secondary diagnosis is performed on the replacement cost of the gas turbine intake filter to obtain the second expected maintenance point. If the gas turbine intake filter is not replaced at the second expected maintenance node, a three-level diagnosis is performed on the replacement cost of the gas turbine intake filter to obtain the third expected maintenance node. The optimal maintenance point is the moment when the cost per kilowatt-hour for replacing the gas turbine filter is lowest. The optimal maintenance point is expressed as follows: in, For optimal maintenance nodes The corresponding lowest cost per kilowatt-hour, The first parameter, the threshold, represents the performance degradation coefficient of the intake filter. For optimal maintenance nodes The corresponding intake filter performance degradation coefficient; The second expected maintenance node is the moment when the error between the levelized cost of electricity (LCOE) and the minimum LCOE equals the first threshold. The second expected maintenance node is represented as follows: in, Let a1 represent the levelized cost of electricity (LCOE) corresponding to the second desired maintenance node, and let a1 represent the relative growth rate of the LCOE of the second desired maintenance node relative to the optimal maintenance node. For optimal maintenance nodes, This represents the moment when the second expected maintenance node is set. The second parameter, the threshold, represents the performance degradation coefficient of the intake filter. The performance degradation coefficient of the intake filter corresponding to the second expected maintenance node; The third expected maintenance node is the moment when the error between the cost per kilowatt-hour and the minimum cost per kilowatt-hour is less than the second threshold. The third expected maintenance node is represented as follows: in, Let a2 represent the levelized cost of electricity (LCOE) at the third expected maintenance node, and let a2 represent the relative growth rate of the LCOE at the third expected maintenance node relative to the optimal maintenance node. This represents the moment when the third expected maintenance node is located. The third parameter, the threshold, represents the performance degradation coefficient of the intake filter. This represents the performance degradation coefficient of the intake filter corresponding to the third expected maintenance node.

2. The method as described in claim 1, characterized in that, The pressure ratio of a compressor is expressed as: Where P3 represents the air pressure at the compressor outlet and P2 represents the air pressure at the compressor inlet after the intake filter.

3. The method as described in claim 1, characterized in that, The standard pressure drop loss is the pressure drop loss of the intake filter under actual operating conditions and actual intake conditions without performance degradation. The standard pressure drop loss is expressed as: in, The standard pressure drop loss is represented by μ, the dynamic viscosity of the air at the inlet of the intake filter at the current moment is represented by m, the mass flow rate of the air at the compressor inlet at the current moment is represented by ρ, the density of the air at the inlet of the intake filter at the current moment is represented by T, and k and b are constants. The actual pressure drop loss is expressed as: in, This indicates the air pressure at the air outlet of the air intake filter; The performance degradation coefficient of the intake filter is expressed as: in, This indicates the actual pressure drop loss.

4. The method as described in claim 1, characterized in that, The replacement cost of the gas turbine intake filter is the cost per kilowatt-hour of electricity for replacing the intake filter, which is expressed as follows: in, This represents the replacement cost of the gas turbine intake filter over its entire lifespan (t). The replacement cost of the gas turbine intake filter over its entire lifespan (t) is expressed as: in, This represents the replacement cost of the gas turbine intake filter over the entire maintenance cycle t. Indicates the initial replacement cost of the device. This indicates the additional costs incurred during the operation of the equipment. This indicates the downtime and replacement cost of the device; The initial replacement cost of the device includes the purchase cost of the device and the labor cost of installation. The additional costs incurred during the operation of the device are expressed as follows: in, Where C is the feed-in tariff, Cg is the natural gas price, and t is the life cycle. This represents the power output that the unit would generate less when operating at full load within a period t. This represents the actual power output of the unit. To increase the pressure difference of the filter screen, more fuel is consumed to generate the same amount of electricity. and Represented as: in, The amount of fuel required to generate the same amount of electricity This represents the performance degradation coefficient of the gas turbine intake filter during actual operation. K1 and K2 are constants and represent the performance degradation coefficients at the time of gas turbine intake filter replacement.

5. A diagnostic device for performance degradation of a heavy-duty gas turbine inlet filter, characterized in that, It includes a data acquisition module, a first processing module, a second processing module, a first calculation module, a second calculation module, and a diagnostic module, among which, The data acquisition module is used to collect the operating data of the intake filter from the time the filter screen was replaced to the current time, wherein the operating data includes the operating data at the time of filter screen replacement; The first processing module is used to obtain the relationship curve between compressor pressure ratio and flow rate based on the operating data, and to calculate the inlet air mass flow rate of the intake filter under actual operating conditions based on the relationship curve. The second processing module is used to fit the pressure drop loss of the clean air intake filter based on the operating data at the time of filter replacement, and obtain a standard pressure drop loss fitting formula. The first calculation module is used to obtain the standard pressure drop loss of the intake filter based on the actual operating data and the fitting formula, and to calculate the performance degradation coefficient of the intake filter in combination with the actual pressure drop loss. The second calculation module is used to calculate the replacement cost of the gas turbine intake filter based on the filter's performance degradation coefficient; Specifically used for: Based on the replacement cost of the gas turbine intake filter, a first-level diagnosis is performed to obtain the optimal maintenance node. The first-level diagnosis is based on the principle of minimizing the cost per kilowatt-hour over the entire life cycle to find the optimal replacement time. If the gas turbine intake filter is not replaced at the optimal maintenance point, a secondary diagnosis is performed on the replacement cost of the gas turbine intake filter to obtain the second expected maintenance point. If the gas turbine intake filter is not replaced at the second expected maintenance node, a three-level diagnosis is performed on the replacement cost of the gas turbine intake filter to obtain the third expected maintenance node. The optimal maintenance point is the moment when the cost per kilowatt-hour for replacing the gas turbine filter is lowest. The optimal maintenance point is expressed as follows: in, For optimal maintenance nodes The corresponding lowest cost per kilowatt-hour, The first parameter, the threshold, represents the performance degradation coefficient of the intake filter. For optimal maintenance nodes The corresponding intake filter performance degradation coefficient; The second expected maintenance node is the moment when the error between the levelized cost of electricity (LCOE) and the minimum LCOE equals the first threshold. The second expected maintenance node is represented as follows: in, Let a1 represent the levelized cost of electricity (LCOE) corresponding to the second desired maintenance node, and let a1 represent the relative growth rate of the LCOE of the second desired maintenance node relative to the optimal maintenance node. For optimal maintenance nodes, This represents the moment when the second expected maintenance node is set. The second parameter, the threshold, represents the performance degradation coefficient of the intake filter. The performance degradation coefficient of the intake filter corresponding to the second expected maintenance node; The third expected maintenance node is the moment when the error between the cost per kilowatt-hour and the minimum cost per kilowatt-hour is less than the second threshold. The third expected maintenance node is represented as follows: in, Let a2 represent the levelized cost of electricity (LCOE) at the third expected maintenance node, and let a2 represent the relative growth rate of the LCOE at the third expected maintenance node relative to the optimal maintenance node. This represents the moment when the third expected maintenance node is located. The third parameter, the threshold, represents the performance degradation coefficient of the intake filter. This represents the performance degradation coefficient of the intake filter corresponding to the third expected maintenance node.

6. A computer device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements the method as described in any one of claims 1-4.

Images