Performance evaluation method, operation control method, performance evaluation device and recording medium

Abstract

The present invention provides a performance evaluation device comprising: an acquisition unit that acquires sampled values ​​of gas turbine output and steam turbine output measured at various times during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate electricity; and an output calculation unit that calculates a total output, i.e., a plant output, of the sampled value of the gas turbine output measured at a first time and the sampled value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time.

Description

Technical Field

[0001] The present invention relates to a performance evaluation method, an operation control method, a performance evaluation device and a recording medium.

[0002] This application claims priority based on Japanese Patent Application No. 2020-169638, filed in Japan on October 7, 2020, and incorporates the contents thereof herein. Background Art

[0003] As a technique for diagnosing power generation equipment, for example, a technique is conceivable in which the presence of abnormality is diagnosed by comparing state quantities calculated by an equipment diagnosis model with state quantities acquired from the power generation equipment (see, for example, Patent Document 1).

[0004] Furthermore, diagnostics (performance evaluations) are sometimes performed to confirm the extent of performance improvements achieved during periodic inspections of power generation equipment or when operating conditions (such as control logic) are changed. In power generation equipment, the load constantly fluctuates depending on power demand. This increases the variance in data measured during commercial operation, making it difficult to use this data for power generation equipment performance evaluation. Therefore, conventional techniques require temporarily suspending commercial operations and allowing the power generation equipment's gas turbine to stabilize (maintain a constant load) for test operation to measure data for performance evaluation.

[0005] Previous technical literature

[0006] Patent Literature

[0007] Patent Document 1: Japanese Patent Publication No. 6-25930 Summary of the Invention

[0008] Technical issues to be solved by the invention

[0009] However, the generated electricity cannot be sold during the test operation, and the cost of the test operation is also high. Therefore, it is desirable to use the data measured during commercial operation to evaluate the performance of the power generation equipment.

[0010] The present invention has been made in view of such a problem, and provides a performance evaluation method, an operation control method, a performance evaluation device, and a recording medium capable of evaluating the performance of a device based on data measured during operation.

[0011] Means for solving technical problems

[0012] According to one embodiment of the present invention, a performance evaluation method includes the following steps: obtaining sampled values ​​of gas turbine output and sampled values ​​of steam turbine output measured at various times during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate electricity; and calculating the total output, i.e., the plant output, of the sampled values ​​of the gas turbine output measured at a first time and the sampled values ​​of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time.

[0013] According to one embodiment of the present invention, a performance evaluation device includes: an acquisition unit that acquires sampled values ​​of gas turbine output and sampled values ​​of steam turbine output measured at various times during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate power; and an output calculation unit that calculates a total output, i.e., a plant output, of the sampled value of the gas turbine output measured at a first time and the sampled value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time.

[0014] According to one embodiment of the present invention, a computer-readable recording medium records a program that causes a computer of a performance evaluation device to execute the following steps: obtaining a sampling value of the gas turbine output and a sampling value of the steam turbine output measured at each moment during the operation of a combined cycle power generation device that uses a gas turbine and a steam turbine to generate electricity; and calculating the total output, i.e., the device output, of the sampling value of the gas turbine output measured at a first moment and the sampling value of the steam turbine output corresponding to the gas turbine output at the first moment and measured at a second moment after a predetermined delay time from the first moment.

[0015] Effects of the Invention

[0016] According to the performance evaluation method, operation control method, performance evaluation device, and recording medium of the present invention, it is possible to evaluate the performance of a device based on data measured during operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a diagram showing the overall configuration of a performance evaluation system according to the first embodiment of the present invention.

[0018] Figure 2 This is a diagram showing the functional configuration of the performance evaluation system according to the first embodiment of the present invention.

[0019] Figure 3 This is a first flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0020] Figure 4 This is a second flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0021] Figure 5 This is a diagram showing an example of sampling values ​​and device outputs according to the first embodiment of the present invention.

[0022] Figure 6 This is a third flowchart showing an example of processing by the performance evaluation device according to the first embodiment of the present invention.

[0023] Figure 7 This is a diagram showing an example of a cross-correlation function according to the first embodiment of the present invention.

[0024] Figure 8 This is a fourth flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0025] Figure 9 This is a diagram showing an example of the equipment efficiency according to the first embodiment of the present invention.

[0026] Figure 10 This is a fifth flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0027] Figure 11 This is a diagram showing an example of the equipment output and heat rate according to the first embodiment of the present invention.

[0028] Figure 12 This is a diagram showing an example of average heat rates in the first operation mode and the second operation mode according to the first embodiment of the present invention.

[0029] Figure 13 This is a diagram showing an example of the hardware configuration of the performance evaluation device and the control device according to the first embodiment of the present invention.

[0030] Figure 14 This is a diagram showing an example of average heat rates of gas turbine output and steam turbine output according to Modification 1 of the present invention.

[0031] Figure 15 This is a flowchart showing an example of processing of the performance evaluation device according to Modification 1 of the present invention.

[0032] Figure 16 This is a flowchart showing an example of processing of the performance evaluation device according to Modification 2 of the present invention. DETAILED DESCRIPTION

[0033] <First embodiment>

[0034] Below, reference Figures 1 to 13 , a performance evaluation system 1 according to a first embodiment of the present invention will be described.

[0035] (Overall structure)

[0036] Figure 1 It is a diagram showing the overall configuration of a performance evaluation system according to the first embodiment of the present invention.

[0037] The performance evaluation system 1 is a system for evaluating the performance of a combined cycle power plant 10 (hereinafter also referred to as "power plant 10"). Figure 1 As shown, the performance evaluation system 1 includes a power generation facility 10 and a performance evaluation device 20 .

[0038] (Structure of power generation equipment)

[0039] like Figure 1 As shown, the power generation equipment 10 includes: a gas turbine 100; a generator 110 that generates electricity by driving the gas turbine 100; a waste heat recovery boiler 120 that generates steam using the heat of the exhaust gas discharged from the gas turbine 100; a steam turbine 130 (a high-pressure steam turbine 131, an intermediate-pressure steam turbine 132, and a low-pressure steam turbine 133) driven by the steam from the waste heat recovery boiler 120; a generator 140 that generates electricity by driving the steam turbines 130 (131, 132, 133); a condenser 150 that converts the steam discharged from the low-pressure steam turbine 133 into water; a water supply heater 155; and a control device 160 that controls each of these devices.

[0040] The gas turbine 100 includes a compressor 101 that compresses external air to generate compressed air; a burner 102 that mixes the compressed air with a gaseous fuel and combusts the mixture to generate high-temperature combustion gas; a turbine 103 driven by the combustion gas; and a fuel flow control valve 104 that regulates the flow rate of fuel supplied to the burner 102. A fuel line that supplies fuel from a fuel supply source to the burner 102 is connected to the burner 102. The fuel line is provided with the fuel flow control valve 104. The exhaust port of the turbine 103 is connected to a waste heat recovery boiler 120. Furthermore, a flow meter 105 is provided in the fuel line to sequentially measure the fuel flow rate F supplied to the burner 102.

[0041] The high-pressure steam generated in the waste heat recovery boiler 120 is supplied to the high-pressure steam turbine 131 via a steam line. The steam exhausted from the high-pressure steam turbine 131 is reheated in the waste heat recovery boiler 120 to form medium-pressure steam, which is then supplied to the medium-pressure steam turbine 132 via a steam line. The low-pressure steam generated in the waste heat recovery boiler 120 and the steam exhausted from the medium-pressure steam turbine 132 are supplied to the low-pressure steam turbine 133 via a steam line.

[0042] The condenser 150 is connected to the outlet of the low-pressure steam turbine 133. The steam exhausted from the low-pressure steam turbine 133 is converted into water in the condenser 150, and is then fed to the waste heat recovery boiler 120 through a water supply line and a water supply heater 155.

[0043] The control device 160 controls the output of the gas turbine 100 and the output of the steam turbine 130 , thereby performing power generation by the generator 110 and the generator 140 .

[0044] The electricity generated by generators 110 and 140 can be supplied to the power grid (electric power system) via respective power paths. Furthermore, output meters 111 and 141 are provided in each power path to sequentially measure the power generated by generator 110 driven by gas turbine 100 (hereinafter referred to as "gas turbine output Pg") and the power generated by generator 140 driven by steam turbine 130 (hereinafter referred to as "steam turbine output Ps").

[0045] (Functional Structure of Performance Evaluation Device)

[0046] Figure 2 This is a diagram showing the functional configuration of the performance evaluation system according to the first embodiment of the present invention.

[0047] The performance evaluation device 20 evaluates the performance of the power generation equipment 10 based on the operating data of the power generation equipment 10 .

[0048] Operational data refers to data including sampled values ​​(fuel flow rate F, gas turbine output Pg, and steam turbine output Ps) measured by the power plant 10 during commercial operation, the operating mode of the power plant 10, and the times at which the sampled values ​​were measured. The operating mode represents a specific operating state of the power plant 10, and multiple operating modes are defined depending on the operating conditions (control logic) and the implementation status of periodic inspections (before or after implementation). Operational data from the power plant 10 is collected at every specified sampling time (e.g., one minute) and transmitted to the data server 30 via a network such as the Internet for storage. Alternatively, the operating data may be temporarily stored in a memory (not shown) within the power plant 10 and then grouped and transmitted to the data server 30 at specified times. The specified time may be, for example, after a certain period of time (e.g., one hour) has passed since the last transmission, or when a certain number of data points (e.g., 1000 points) have been stored in the memory.

[0049] The performance evaluation device 20 acquires the sampled values ​​stored in the data server 30 to evaluate the performance of the power generation equipment 10 . Figure 1 In the example shown, the performance evaluation device 20 and data server 30 are managed and operated by the manufacturer of the power generation equipment 10 (the operator who performs manufacturing, maintenance, and evaluation), but the present invention is not limited to this embodiment. In other embodiments, the data server 30 may be a data server provided by a cloud computing service provider.

[0050] like Figure 2 As shown, the performance evaluation device 20 includes an acquisition unit 201 , an output calculation unit 202 , an efficiency calculation unit 203 , a comparison unit 204 , an output processing unit 205 , and a memory 206 .

[0051] The acquisition unit 201 acquires sampling values ​​(fuel flow rate F, gas turbine output Pg, steam turbine output Ps) measured at each time during the operation of the power generation equipment 10 .

[0052] The output calculation unit 202 calculates the total output Pc, i.e., the plant output, which is the sum of the sampled value of the gas turbine output Pg measured at a first moment and the sampled value of the steam turbine output Ps measured at a second moment corresponding to the gas turbine output Pg at the first moment and after a predetermined delay time has elapsed from the first moment.

[0053] The efficiency calculation unit 203 obtains the efficiency of the power generation plant 10 based on the plant output Pc and the fuel flow rate F.

[0054] Comparing unit 204 compares the average efficiency per interval of the plant output Pc in the first operating mode of power generation plant 10 with the average efficiency per interval of the plant output Pc in a second operating mode different from the first operating mode. For example, the plant output Pc intervals are divided into predetermined ranges ΔPc (e.g., 10 MW), such as the "0-9 MW" interval and the "10-19 MW" interval.

[0055] For example, the first operating mode is the operating mode before the periodic inspection of the power generation equipment 10, and the second operating mode is the operating mode after the periodic inspection. Furthermore, the power generation equipment 10 can switch between multiple operating conditions (control logic) manually or automatically via the control device 160. Therefore, the first operating mode can be the operating mode under one of the multiple operating conditions, and the second operating mode can be the operating mode under another operating condition.

[0056] The output processing unit 205 transmits the evaluation results of the power generation equipment 10 to the control device 160 of the power generation equipment 10. The evaluation results include the equipment output Pc calculated by the output calculation unit 202, the equipment efficiency calculated by the efficiency calculation unit 203, and the comparison results of the comparison unit 204. The output processing unit 205 can also output the evaluation results to a display connected to the performance evaluation device.

[0057] The memory 206 is a so-called auxiliary storage device, and may be, for example, an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The memory 206 stores the sample values ​​acquired by the acquisition unit 201, the calculation results by the output calculation unit 202 and the efficiency calculation unit 203, and the like.

[0058] (Functional Structure of Control Device)

[0059] like Figure 2 As shown, the control device 160 includes an operation control unit 161 , an operation receiving unit 162 , and a display unit 163 .

[0060] The operation control unit 161 automatically controls each device of the power generation facility 10 based on the status of the power generation facility 10. Alternatively, an operator monitoring the power generation facility 10 may perform manual operations via the operation receiving unit 162, described later. In such cases, the operation control unit 161 controls each device of the power generation facility 10 based on the operations received from the operator.

[0061] Furthermore, the operation control unit 161 according to this embodiment controls switching the operation mode of the power generation device 10 based on the evaluation results received from the performance evaluation device 20. For example, if the evaluation result indicates that the second operation mode is more efficient than the first operation mode in a certain device output interval, and if the current device output of the power generation device 10 is included in this interval, the operation control unit 161 automatically switches the operation mode of the power generation device 10 from the first operation mode to the second operation mode.

[0062] The operation receiving unit 162 receives operations performed by an operator monitoring the power generation facility 10. For example, the operation receiving unit 162 receives an operation to switch the operating mode of the power generation facility 10. In this case, the operation receiving unit 162 causes the operation control unit 161 to perform control related to the switching of the operating mode. Furthermore, the operation receiving unit 162 can instruct the performance evaluation device 20 to evaluate the performance of the power generation facility 10 before and after the switching of the operating mode.

[0063] The operation receiving unit 162 also receives an operation to start performance evaluation of the power generation equipment 10. For example, if an operator starts performance evaluation after the periodic inspection is completed, the operation receiving unit 162 instructs the performance evaluation device 20 to evaluate the performance of the power generation equipment 10 before and after the periodic inspection.

[0064] The display unit 163 is a display that displays sampled values ​​of the power generation equipment 10 and evaluation results received from the performance evaluation device 20 . The operator refers to the evaluation results displayed on the display unit 163 and performs an operation mode switching operation via the operation receiving unit 162 .

[0065] (Processing flow of the performance evaluation system)

[0066] Figure 3 This is a first flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0067] Here, an example is described in which a switch from a first operating mode to a second operating mode is performed manually by an operator, and the performance is evaluated during the evaluation period before the switch (first operating mode) and the evaluation period after the switch (second operating mode). The evaluation period is set to a certain time period n minutes (e.g., 60 minutes) before and after the switch. Here, the performance evaluation device 20 is configured to perform the following processing after a specified amount of operating data, including n minutes before and after the operating mode switch, is stored in the data server 30. The specified amount is set by the number of data points (e.g., 1000 points) and the data acquisition period (e.g., 3 to 4 hours).

[0068] like Figure 3As shown, the acquisition unit 201 of the performance evaluation device 20 first acquires the sampling values ​​before the switching of the operation mode (the first operation mode) from the data server 30 (step S10).

[0069] Next, the output calculation unit 202 and the efficiency calculation unit 203 of the performance evaluation device 20 evaluate the performance of the first operation mode of the power generation equipment 10 (step S11 ).

[0070] Figure 4 This is a second flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0071] like Figure 4 As shown, first, the output calculation unit 202 calculates the delay time τd of the steam turbine output Ps in the first operation mode (step S100 ).

[0072] Figure 5 This is a diagram showing an example of sampling values ​​and device outputs according to the first embodiment of the present invention.

[0073] Figure 5 (a) is a graph showing the fuel flow rate F, Figure 5 (b) is a graph showing the gas turbine output Pg, Figure 5 (c) is a graph showing the time series of steam turbine output Ps. Figure 5 (d) is a graph showing the time series of the device output Pc calculated by the output calculation unit 202 according to this embodiment. Figure 5 (e) is a graph showing a time series of device output Pc calculated by a conventional method for comparison.

[0074] In the power generation equipment 10, the outputs of the gas turbine 100 and the steam turbine 130 vary according to the control command of the control device 160. At this time, the steam turbine is driven by using the steam generated by the exhaust gas of the gas turbine 100, so Figure 5 (b) and Figure 5 As shown in (c), the output fluctuation of the steam turbine 130 occurs with a delay relative to the output fluctuation of the gas turbine 100 .

[0075] Therefore, if Figure 5 If the plant output Pc is calculated by summing the gas turbine output Pg(t) and the steam turbine output Ps(t) at the same time t as in the conventional method shown in (e), it is difficult to accurately evaluate the performance of the power plant 10. Based on this understanding, Figure 5As shown in (d), the output calculation unit 202 according to this embodiment calculates the plant output Pc by taking into account the delay time τ of the steam turbine output Ps relative to the gas turbine output Pg. The following describes in detail the method by which the output calculation unit 202 according to this embodiment calculates the plant output Pc by taking into account the delay time τ of the steam turbine output Ps.

[0076] Figure 6 This is a third flowchart showing an example of processing by the performance evaluation device according to the first embodiment of the present invention.

[0077] First, refer to Figure 6 The details of the process by which output calculation unit 202 calculates the fixed value of delay time τd (hereinafter simply referred to as "delay time τd") will be described. Furthermore, output calculation unit 202 according to this embodiment calculates delay time τd for each divided period (e.g., 7 minutes) of the evaluation period (t0 to tn) of the first operating mode. Here, the example in which output calculation unit 202 calculates delay time τd for the first divided period (times t0 to t7) among the multiple divided periods will be described. The output calculation unit will perform the same process for the second divided period, the third divided period, and so on, to calculate delay time τd1, τd2, τd3, and so on for each divided period.

[0078] First, the output calculation unit 202 initializes the delay time τ (step S101 ).

[0079] Next, the output calculation unit 202 reads the sampled values ​​of the gas turbine output Pg and the steam turbine output Ps during the evaluation period of the first operation mode (step S102 ). Furthermore, the times within the evaluation period are defined as times t0 to tn.

[0080] Next, the output calculation unit 202 calculates the cross-correlation function between the gas turbine output Pg and the steam turbine output Ps when the steam turbine output is delayed by a time "τ" (step S103). Here, the cross-correlation function between the gas turbine output Pg(t) at time t and the steam turbine output Ps(t+τ) after the time delay τ is expressed by Equation (1).

[0081] [Formula 1]

[0082] Rm(τ)=∫Pg(t)·Ps(t+τ)dt…(1)

[0083] Then, the output calculation unit 202 calculates Rmr(τ) which is obtained by normalizing Rm(τ) using equations (2) and (3) (steps S104 and S105).

[0084] [Formula 2]

[0085]

[0086] [Formula 3]

[0087] Rmr(τ)=Rm(τ) / Rm(0)…(3)

[0088] Next, the output calculation unit 202 increases the delay time τ by a fixed time Δτ (step S106). The fixed time Δτ is, for example, 1 minute.

[0089] Next, the output calculation unit 202 determines whether a cross-correlation function has been calculated for all delay times τ (τ0 to τ7) from the initial value (0 minutes) to the upper limit m (e.g., 7 minutes) (step S107). The upper limit m of the delay time can be changed depending on the performance of the gas turbine 100 and the steam turbine 130, etc. If the output calculation unit 202 has not calculated a cross-correlation function for all delay times τ (step S107: No), the process returns to step S102 and calculates a cross-correlation function for the next delay time τ. On the other hand, if the output calculation unit 202 has calculated a cross-correlation function for all delay times τ (step S107: Yes), the process calculates the delay time τd at which Rmr(τ) reaches its maximum (step S108).

[0090] Figure 7 This is a diagram showing an example of a cross-correlation function according to the first embodiment of the present invention.

[0091] Figure 7 , a graph showing the cross-correlation function Rmr(τ) for each delay time τ obtained by the output calculation unit 202 is shown. Figure 7 In the example of , the delay time at which the cross-correlation function Rmr(τ) becomes maximum is "τ2." Therefore, the output calculation unit 202 sets the delay time τd in the divided period to "τ2 (2 minutes)."

[0092] Then, return to Figure 4 The output calculation unit 202 and the efficiency calculation unit 203 calculate the device output Pc and the device efficiency η at each time t0 to tn during the evaluation period of the first operation mode (step S200).

[0093] Figure 8 This is a fourth flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0094] like Figure 8 As shown, the output calculation unit 202 initializes t indicating a time within the evaluation period (step S201 ).

[0095] Next, as shown in equation (4), the output calculation unit 202 adds the gas turbine output Pg(t) at time t to the steam turbine output Ps(t+τd) after a delay time τd has elapsed from time t, and calculates the plant output Pc at time t (step S202). At this time, the output calculation unit 202 calculates the plant output Pc at each time point within the divided period using the delay time τd for each divided period. For example, the plant output Pc for each time point t0 to t7 in the first divided period is calculated using the delay time τd1 for the first divided period. Similarly, for the second divided period, the third divided period, and so on, the plant output Pc is calculated for each time point within each divided period using the delay time τd2 for the second divided period, the delay time τd3 for the third divided period, and so on.

[0096] [Formula 4]

[0097] Pc(t)=Pg(t)+Ps(t+τd)…(4)

[0098] Next, as shown in Formula (5), the efficiency calculation unit 203 calculates the equipment efficiency η (energy efficiency) at time t (step S203).

[0099] [Formula 5]

[0100] η(t)=Pc(t) / F(t)…(5)

[0101] Figure 9 This is a diagram showing an example of the equipment efficiency according to the first embodiment of the present invention.

[0102] Figure 9 (a) is the plant output Pc calculated in consideration of the delay time τ of the steam turbine output Ps in this embodiment. Figure 5 (d) is an example of the equipment efficiency η calculated from the equipment output "Pc(t)=Pg(t)+Ps(t+τd)"). And, for comparison, Figure 9 (b) The plant output Pc is calculated based on the conventional method without taking into account the delay time of the steam turbine output Ps. Figure 5 (e) shows an example of the equipment efficiency η calculated based on the equipment output "Pc(t)=Pg(t)+Ps(t)".

[0103] The efficiency calculation unit 203 plots the calculated equipment efficiency η at time t on Figure 9 (a) (step S204). In addition, the graph can be displayed on a display connected to the performance evaluation device via the output processing unit 205.

[0104] Next, the efficiency calculation unit 203 increases the time t by a fixed time Δt (step S205). The fixed time Δt is set according to the sampling time (for example, 1 minute).

[0105] Then, the efficiency calculation unit 203 determines whether the equipment efficiency η of all the time points (time points t0 to tn) during the evaluation period has been calculated (step S207). If the efficiency calculation unit 203 has not calculated the equipment efficiency η of all the time points up to time point tn (step S207: No), the process returns to step S202 and executes the above steps again for the next time point. On the other hand, if the efficiency calculation unit 203 has calculated the equipment efficiency η of all the time points up to time point tn (step S207: Yes), the process proceeds to step S203. Figure 4 If the efficiency calculation unit 203 calculates the equipment efficiency η at each moment in all evaluation periods, the following can be obtained: Figure 9 (a) is shown in the graph. Compared with the equipment efficiency η ( Figure 9 Compared with (b)), the noise of the device efficiency η calculated by the efficiency calculation unit 203 according to this embodiment is reduced, and the device efficiency can be evaluated more accurately.

[0106] The efficiency calculation unit 203 can express the equipment efficiency of the power generation equipment 10 in terms of heat rate HR. Figure 4 As shown, the efficiency calculation unit 203 according to the present embodiment further calculates the average heat rate HRav of the plant efficiency for each load section of the power generation plant 10 (step S300 ).

[0107] Figure 10 This is a fifth flowchart showing an example of processing of the performance evaluation device according to the first embodiment of the present invention.

[0108] Below, reference Figure 10 , the details of the process in which the efficiency calculation unit 203 calculates the average heat rate HRav of the equipment efficiency will be described.

[0109] First, the efficiency calculation unit 203 initializes t indicating a time within the evaluation period (step S301 ).

[0110] Next, the efficiency calculation unit 203 obtains the heat rate HR(t) indicating the equipment efficiency at time t using the following equation (6) (step S302 ).

[0111] [Formula 6]

[0112] HR(t)=1 / η(t)…(6)

[0113] Then, the efficiency calculation unit 203 associates the time t, the plant output Pc(t) at the time t, and the calculated heat rate HR(t) at the time t, and stores the results in the memory 206 (step S303 ).

[0114] Next, the efficiency calculation unit 203 increases the time t by a fixed time Δt (step S304). The fixed time Δt is set according to the sampling time (for example, 1 minute).

[0115] The efficiency calculation unit 203 then determines whether the heat rate HR has been calculated for all times during the evaluation period (times t0 to tn) (step S305). If the efficiency calculation unit 203 has not calculated the heat rate HR for all times up to time tn (step S305: No), the process returns to step S302 to calculate the heat rate HR for the next time. On the other hand, if the efficiency calculation unit 203 has calculated the heat rate HR for all times up to time tn (step S305: Yes), a graph is created that plots the coordinates of the plant output Pc and the heat rate HR at each time (step S306). This graph indicates that the lower the heat rate HR, the better the performance of the power generation plant 10.

[0116] Figure 11 This is a diagram showing an example of the equipment output and heat rate according to the first embodiment of the present invention.

[0117] Figure 11 The vertical axis of the graph represents the heat rate HR, and the horizontal axis represents the plant output Pc. The efficiency calculation unit 203 plots the plant output Pc and the heat rate HR at times t0 to tn stored in the memory 206 on the graph, thereby obtaining a graph showing the distribution of the heat rate HR according to the plant output Pc of the power generation plant 10.

[0118] Next, the efficiency calculation unit 203 calculates the average heat rate HRav for each interval (ΔPc) of the plant output Pc (step S307). For example, the efficiency calculation unit 203 calculates the average heat rate HRav per 10 MW. If the heat rate HR exhibits significant variation, the efficiency calculation unit 203 may filter the variation based on its standard deviation (e.g., only using data within 4σ). By taking into account the delay time τ of the steam turbine output Ps, filtering based on the standard deviation may be omitted if the variation falls within a specified range.

[0119] And, as Figure 11 As shown, the efficiency calculation unit 203 creates a graph plotting the average heat rate HRav of each section (step S308). In addition, the graph can be displayed on a display connected to the performance evaluation device via the output processing unit 205.

[0120] When the performance evaluation (calculation of the equipment output Pc, equipment efficiency η, and average heat rate HRav for each section (per 10MW) of equipment output) before the operation mode switching (first operation mode) is completed, the performance evaluation device 20 returns to Figure 3 , and perform performance evaluation after the operation mode is switched (second operation mode) (steps S12 to S13).

[0121] The acquisition unit 201 acquires the sampling value of the second operation mode from the data server 30 (step S12 ).

[0122] After acquiring the sampled values, the output calculation unit 202 and the efficiency calculation unit 203 evaluate the performance of the second operation mode of the power generation equipment 10 (step S13). The flow of this process is the same as the process of evaluating the performance of the first operation mode (step S11) described above.

[0123] Next, the comparison unit 204 compares the average heat rates HRav of the first and second operating modes. In this embodiment, the degree of performance improvement of the second operating mode compared to the first operating mode is evaluated. In this case, the comparison unit 204 calculates the heat rate difference HRe by subtracting the average heat rate HRav1 of the first operating mode from the average heat rate HRav2 of the second operating mode, as shown in equation (7), for each interval of plant output (per 10 MW) (step S14).

[0124] [Formula 7]

[0125] HRe=HRav2-HRav1…(7)

[0126] Figure 12 This is a diagram showing an example of the performance difference between the first operation mode and the second operation mode according to the first embodiment of the present invention.

[0127] like Figure 12 As shown in (a), the comparison unit 204 creates a graph comparing the average heat rate HRav1 of the first operation mode and the average heat rate HRav2 of the second operation mode. Figure 12 As shown in (b), the comparison unit 204 creates a graph showing the heat rate difference HRe between the first operation mode and the second operation mode for each interval of plant output (per 10 MW). Furthermore, the comparison unit 204 may combine these graphs into one graph.

[0128] Since the performance of the power plant 10 is better as the heat rate HR is lower, the comparison unit 204 determines that the performance of the second operation mode is better when the heat rate difference HRe is less than zero (negative value). Furthermore, the smaller the heat rate difference HRe is and the smaller the average heat rate HRav is, the higher the degree of performance improvement in the second operation mode is. Figure 12 In the example shown in FIG, the comparison unit 204 determines that the performance of the power generation equipment 10 in the second operation mode is better in the intervals R1, R3, and R5 where the heat rate difference HRe is less than zero. On the other hand, when the heat rate difference HRe is zero, there is no performance difference between the first and second operation modes. Therefore, the comparison unit 204 determines that the performance of the power generation equipment 10 in the first operation mode is better in the intervals R2 and R4 where the heat rate difference HRe is equal to or greater than zero (a positive value).

[0129] Next, the output processing unit 205 outputs (transmits) the judgment result of the comparison unit 204 (the presence or absence of performance improvement due to switching to the second operating mode and the degree of improvement) to the control device 160 as an evaluation result based on the performance evaluation device 20 (step S15). The output processing unit 205 can also display the evaluation result on a display connected to the performance evaluation device.

[0130] In addition, the evaluation result may further include at least one of the following data: the time history of the device output Pc calculated by the output calculation unit 202 ( Figure 5 (d) ); Time history of the equipment efficiency η calculated by the efficiency calculation unit 203 ( Figure 9 (a) Graph); Distribution of heat rate HR and average heat rate HRav ( Figure 11 and a comparison chart (of the first operating mode and the second operating mode produced by the comparison unit 204) Figure 12 (a) Graph of average heat rate HRav and (b) Graph of heat rate difference HRe).

[0131] Then, the control device 160 displays the evaluation result received from the performance evaluation device 20 on the display unit 163. At this time, the operation control unit 161 of the control device 160 displays the evaluation result received from the performance evaluation device 20 on the display unit 163. At this time, in the subsequent operation control processing, the operation control unit 161 of the control device 160 displays the evaluation result received from the performance evaluation device 20 on the display unit 163. Figure 12 In the case of the interval R1, R3, R5), the automatic control can be switched from the first operation mode to the second operation mode. And, when the current device output Pc is included in the interval ( Figure 12 In the case of intervals R2 and R4), the operation control unit 161 performs automatic control to switch from the second operation mode to the first operation mode. In addition, the control device 160 can receive an operation based on the operator who has confirmed the display unit 163 and perform manual control to switch the operation mode according to the operation.

[0132] Each time the operating mode of the power generation equipment 10 is switched by manual operation of an operator, the performance evaluation device 20 performs the above-described processes and performs performance evaluation before and after the switching of the operating mode.

[0133] In other embodiments, the performance evaluation device 20 may detect whether the operation mode is switched between manual control and automatic control based on the operation data of the power generation equipment 10 collected via the data server 30 , and automatically perform performance evaluation before and after the switch.

[0134] Furthermore, in other embodiments, the performance evaluation of the power generation equipment 10 can also be performed when the control device 160 instructs the performance evaluation device 20 to perform a performance evaluation. For example, after the power generation equipment 10 undergoes a periodic inspection, an operator initiates the performance evaluation via the operation receiving unit 162 of the control device 160. In this manner, the control device 160 instructs the performance evaluation device 20 to perform an evaluation comparing the operating performance for a certain period before the periodic inspection with the operating performance for a certain period after the periodic inspection. In this case, the period before and after the periodic inspection can be arbitrarily specified by the operator via the operation receiving unit 162 of the control device 160. Furthermore, regardless of whether or not a periodic inspection has been performed, the operator can initiate the performance evaluation at any time during commercial operations.

[0135] In the above example, the output calculation unit 202 calculates the delay time τd for each period of the evaluation period divided into fixed time intervals, but the present invention is not limited to this. In other embodiments, the output calculation unit 202 may divide the evaluation period into load bands for each power generation facility 10 and calculate the delay time τd for each load band. For example, the output calculation unit 202 may calculate the delay time τd1 for the period of operation in the load band of 81% to 90% output and the delay time τd2 for the period of operation in the load band of 91% to 100% output. The output calculation unit 202 then calculates the facility output Pc at each moment during the period of operation in the load band of 81% to 90% output using the delay time τd1. Similarly, the output calculation unit 202 calculates the facility output Pc at each moment during the period of operation in the load band of 91% to 100% output using the delay time τd2.

[0136] (Hardware Structure)

[0137] Figure 13 This is a diagram showing an example of the hardware configuration of the performance evaluation device and the control device according to the first embodiment of the present invention.

[0138] like Figure 13As shown, a computer 900 includes a processor 901 , a main memory 902 , a storage 903 , and an interface 904 .

[0139] The performance evaluation device 20 and control device 160 are each installed in a computer 900. The operations of each of the aforementioned processing units are stored in the form of a program in a memory 903. The processor 901 reads the program from the memory 903, expands it in the main memory 902, and executes the aforementioned processing according to the program. Furthermore, the processor 901 reserves storage areas corresponding to the aforementioned storage units in the main memory 902 according to the program.

[0140] The program can be used to implement a portion of the functions that the computer 900 performs. For example, the program can perform the functions by combining with other programs already stored in the memory 903, or by combining with other programs installed in other devices. In addition, in other embodiments, the computer 900 may have a customized LSI (Large Scale Integrated Circuit) such as a PLD (Programmable Logic Device) in addition to or instead of the above structure. Examples of PLDs include PAL (Programmable Array Logic), GAL (Generic Array Logic), CPLD (Complex Programmable Logic Device), and FPGA (Field Programmable Gate Array). In this case, part or all of the functions implemented by the processor 901 can be implemented by the integrated circuit.

[0141] Examples of memory 903 include magnetic disks, magneto-optical disks, optical disks, and semiconductor memories. Memory 903 may be an internal medium directly connected to the bus of computer 900, or an external medium 910 connected to computer 900 via interface 904 or a communication line. Furthermore, if the program is distributed to computer 900 via a communication line, the distributed computer 900 can expand the program into main memory 902 and execute the aforementioned processing. In at least one embodiment, memory 903 is a non-transitory, tangible storage medium.

[0142] Furthermore, the program may be used to realize a part of the above functions. In addition, the program may be a so-called differential file (differential program) that realizes the above functions by combining with other programs already stored in the memory 903 .

[0143] (Effect)

[0144] As described above, the performance evaluation device 20 and the performance evaluation method according to the present embodiment execute, in the output calculation unit 202, a process for calculating the equipment output Pc(t), which is the sum of the gas turbine output Pg(t) measured at the first time t and the steam turbine output Ps(t+τ) measured at the second time t+τ after the delay time τ of the steam turbine output Ps.

[0145] As described above, because the steam turbine 130 is driven by steam generated by the heat of the exhaust gas from the gas turbine 100, fluctuations in the steam turbine output Ps occur with a delay compared to fluctuations in the gas turbine output Pg. Therefore, the delay in the steam turbine output Ps affects data measured during commercial operation, where the load of the power plant fluctuates constantly in response to power demand, increasing data variability. Consequently, simply summing the gas turbine output Pg(t) and steam turbine output Ps(t) measured at the same time t, as in conventional methods, makes it difficult to accurately calculate (evaluate) the power plant output Pc. In contrast, the output calculation unit 202 of this embodiment, by taking into account the delay time τ of the steam turbine 130 output, can more accurately calculate the power plant output Pc of the power plant 10, even using data measured during commercial operation, where load fluctuations are frequent.

[0146] Furthermore, in the performance evaluation device 20 and the performance evaluation method according to the present embodiment, the output calculation unit 202 calculates the fixed value τd of the delay time of the steam turbine output Ps based on the gas turbine output Pg and the steam turbine output Ps. Specifically, the output calculation unit 202 calculates the fixed value τd of the delay time based on the maximum value of the cross-correlation function between the gas turbine output Pg and the steam turbine output Ps measured over a certain period of time (e.g., a 60-minute evaluation period before and after switching between operating modes).

[0147] Assuming that there is a correlation between the gas turbine output Pg and the steam turbine output Ps, a fixed value of the delay time τd is calculated based on the maximum value (the most correlated value) of these cross-correlation functions, thereby obtaining a value that is closer to the actual delay time.

[0148] In addition, the performance evaluation device 20 and the performance evaluation method involved in this embodiment further obtain a sample value of the fuel flow rate F in the acquisition unit 201, and in the efficiency calculation unit 203, based on the fuel flow rate F and the equipment output Pc, calculate the equipment efficiency η and the heat consumption rate HR of the power generation equipment 10.

[0149] In this manner, the performance of the power generation plant 10 can be evaluated using the plant efficiency η or the heat rate HR.

[0150] Furthermore, in the performance evaluation device 20 and the performance evaluation method according to this embodiment, the efficiency calculation unit 203 calculates the average efficiency HRav for each interval (e.g., per 10 MW) of the plant output Pc based on the relationship between the plant output Pc and the plant efficiency (heat rate HR).

[0151] In this manner, it is possible to provide data that allows easy understanding of the tendency of the plant efficiency (average heat rate HRav) in each section of the plant output Pc.

[0152] Furthermore, in the performance evaluation device 20 and the performance evaluation method according to this embodiment, the comparison unit 204 compares the average efficiency HRav for each interval in the first operating mode with the average efficiency HRav for each interval in the second operating mode. For example, the first operating mode is the operating mode before the operating mode of the power generation equipment 10 is switched, and the second operating mode is the operating mode after the operating mode is switched.

[0153] This provides data that compares the performance of two different operating modes and makes it easy to understand which operating mode is expected to achieve improved performance in each section of the device output Pc.

[0154] Furthermore, in the performance evaluation device 20 and the performance evaluation method according to the present embodiment, the first operation mode is the operation before the periodic inspection of the power generation equipment 10 , and the second operation mode is the operation after the periodic inspection.

[0155] This makes it possible to provide data that allows easy understanding of whether or not there is performance improvement due to periodic inspection.

[0156] Furthermore, the operator can start the performance evaluation of the power generation equipment 10 at any time through the control device 160. In this case, the performance evaluation device 20 performs the performance evaluation for a certain period of time n minutes before and after receiving the instruction from the control device 160.

[0157] This allows the operator to check the performance of the power generation equipment 10 at any time without waiting for the regular inspection. This allows the operator to quickly learn about performance degradation of the power generation equipment 10.

[0158] Furthermore, in the performance evaluation system 1 and the operation control method according to this embodiment, the operation control unit 161 of the control device 160 performs control to switch to the second operation mode in a section where the second operation mode has better performance than the first operation mode as a result of the performance evaluation.

[0159] This allows the power generation equipment 10 to operate more efficiently. Furthermore, the control device 160 can display the performance evaluation results on the display unit 163, thereby notifying the operator of which operating mode has the best performance in which interval. This allows the operator to appropriately switch operating modes.

[0160] While the embodiments of the present invention have been described in detail above, the present invention is not limited thereto and may be modified slightly without departing from the technical concept of the present invention.

[0161] <Variation 1>

[0162] In the first embodiment described above, the output calculation unit 202 calculates the delay time τ of the steam turbine output Ps based on the cross-correlation function between the gas turbine output Pg and the steam turbine output Ps. However, the present invention is not limited to this embodiment. In the first modification, the output calculation unit 202 calculates the delay time τ by analyzing the extreme values ​​of the gas turbine output Pg and the steam turbine output Ps.

[0163] Figure 14 This is a diagram showing an example of average heat rates of gas turbine output and steam turbine output according to Modification 1 of the present invention.

[0164] Figure 15 This is a flowchart showing an example of processing of the performance evaluation device according to Modification 1 of the present invention.

[0165] Below, reference Figures 14 and 15 The details of the process of calculating the delay time τd by the output calculation unit 202 according to the first modification will be described. Figure 6 The processing shown is executed Figure 15 The processing shown.

[0166] (Processing flow of the performance evaluation system)

[0167] like Figure 15 As shown, the output calculation unit 202 according to this modification extracts a combination of the first extreme value v1 (maximum value and minimum value) of the gas turbine output Pg and the second extreme value v2 (maximum value and minimum value) of the steam turbine output Ps measured during the evaluation period (time t0 to tn) (step S501). Figure 14In the example, the output calculation unit 202 first extracts the first extreme values ​​v1_1 (minimum), v1_2 (maximum), and v1_3 (maximum) of the gas turbine output Pg. Furthermore, the output calculation unit 202 extracts the second extreme values ​​v2_1 (minimum), v2_2 (maximum), and v2_3 (maximum) of the steam turbine output Ps. The output calculation unit 202 then determines a combination of the first extreme value v1 and the second extreme value v2 that occurs after the first extreme value v1 and is temporally adjacent to the first extreme value v1.

[0168] In addition, the output calculation unit 202 extracts the largest value as the maximum value and the smallest value as the minimum value among the sampling values ​​of three consecutive points in the time series. However, in this case, when the sampling value increases or decreases due to noise, it is possible that it will be extracted as the maximum value or the minimum value. Therefore, the output calculation unit 202 involved in this modification refers to the sampling value at every five consecutive points in the time series to extract the maximum value and the minimum value. Specifically, Figure 14 As shown, the maximum value after the sampling value rises twice in succession or the minimum value after the sampling value drops twice in succession in the time series is extracted respectively.

[0169] Next, the output calculation unit 202 calculates the time difference between the measurement times of each combination (step S502). Figure 14 In the example, the time difference between the measurement times of the combination of the first extreme value v1_1 and the second extreme value v2_1 is 2 minutes. The time difference between the measurement times of the combination of the first extreme value v1_2 and the second extreme value v2_2 is 3 minutes. The time difference between the measurement times of the combination of the first extreme value v1_3 and the second extreme value v2_3 is 1 minute.

[0170] Then, the output calculation unit 202 obtains a value obtained by averaging the time differences between these measurement times as the delay time τd of the steam turbine output Ps in the evaluation period t0 to tn (step S503 ).

[0171] The output calculation unit 202 calculates the device output Pc at each time point in the evaluation period t0 to tn using the delay time τd thus obtained. The process of calculating the device output Pc is the same as that of the first embodiment.

[0172] (Effect)

[0173] As shown above, the performance evaluation device 20 and the performance evaluation method involved in this modified example determine, in the output calculation unit 202, combinations of continuous extreme values ​​of the gas turbine output Pg and the steam turbine output Ps measured during the evaluation period (time t0 to tn), and average the time difference between the measurement times of the first extreme value v1 and the second extreme value v2 of each combination, thereby calculating a fixed value τd of the delay time of the steam turbine output Ps applicable to the evaluation period.

[0174] In this manner, the delay time τd of the steam turbine output Ps can be obtained by a simpler process than in the first embodiment.

[0175] In addition, the output calculation unit 202 according to this modification may also set the time difference between the measurement times of the first extreme value v1 and the second extreme value v2 in step S503 as the delay time τd applicable to the period from the time when the first extreme value v1 is measured to the time when the next first extreme value v1 is measured. Figure 14 In the example, the output calculation unit 202 sets the time difference of "2 minutes" between the measurement times of the first extreme value v1_1 and the second extreme value v2_1 as the delay time τd from the measurement time of the first extreme value v1_1 to the measurement time of the next first extreme value v1_2. Similarly, the output calculation unit 202 sets the time difference of "3 minutes" between the measurement times of the first extreme value v1_2 and the second extreme value v2_2 as the delay time τd from the measurement time of the first extreme value v1_2 to the measurement time of the next first extreme value v1_3.

[0176] This makes it possible to finely adjust the delay time τd for each portion within the evaluation period with a simpler process than in the first embodiment.

[0177] The output calculation unit 202 then extracts the maximum value after the sampled value rises twice in succession or the minimum value after the sampled value falls twice in succession in the time series as the first extreme value v1. Similarly, the output calculation unit 202 extracts the maximum value after the sampled value rises twice in succession or the minimum value after the sampled value falls twice in succession in the time series as the second extreme value v2.

[0178] By doing so, the influence of the increase or decrease in the sampling value due to noise can be reduced, and the first extreme value v1 and the second extreme value v2 can be extracted more accurately.

[0179] <Variation 2>

[0180] Furthermore, in the first embodiment described above, the output calculation unit 202 calculates the plant output Pc(t) at the first time t by summing the gas turbine output Pg(t) at the first time t and the steam turbine output Ps(t+τd) at the second time t+τd, which is a delay time τd from the first time t. However, this is not limiting. In Modification 2, the second time corresponding to the first time t may include multiple times. Therefore, the output calculation unit 202 calculates the plant output Pc(t) at the first time t based on the gas turbine output Pg(t) measured at the first time t and the steam turbine output Ps measured at each of the multiple second times corresponding to the first time t. Specifically, the output calculation unit 202 performs the following processing.

[0181] (Processing flow of the performance evaluation system)

[0182] Figure 16 This is a flowchart showing an example of processing of the performance evaluation device according to Modification 2 of the present invention.

[0183] The output calculation unit 202 according to this modification replaces Figure 8 Step S202, execute Figure 16 Step S602. In addition, Figure 16 Steps S601 and S604 to S607 are respectively Figure 8 Step S201 and steps S204 to S207 are the same, so the description is omitted.

[0184] The output calculation unit 202 will be Figure 6The values ​​of the cross-correlation function Rmr(τ) corresponding to each of the delay times τ0 to τm obtained in steps S103 to S105 are multiplied as weighting coefficients for the steam turbine output Ps(t+τ) measured at each of a plurality of second times t+τ (τ=1, 2, ..., m) corresponding to the first time t. For example, the steam turbine output Ps(t+τ1) at time t+τ1 is multiplied by the cross-correlation function Rmr(τ1) as a weighting coefficient, and the steam turbine output Ps(t+τ2) at time t+τ2 is multiplied by the cross-correlation function Rmr(τ2) as a weighting coefficient. The same applies to subsequent times t+τ3, ..., and t+τm. The output calculation unit 202 then adds the sum of the steam turbine outputs Ps at each of the second times t+τ1 to t+τm, weighted by the cross-correlation function Rmr(τ), to the gas turbine output Pg(t) at the first time t to determine the plant output Pc(t) at the first time t. That is, the output calculation unit 202 calculates the device output Pc(t1) at time t1 using equation (8) (step S602). In equation (8), m is set to, for example, "7 (minutes)." Similarly, the output calculation unit 202 calculates the device output Pc at each time t0 to tn during the evaluation period using equation (8).

[0185] [Formula 8]

[0186]

[0187] (Effect)

[0188] As shown above, the output calculation unit 202 involved in this modified example calculates the device output Pc(t) at the first time t by adding together the weighted value of the steam turbine output Ps(t+τ) measured at each of the multiple second time points t+τ after the delay time τ1 to τm from the first time point t and the gas turbine output Pg measured at the first time point t.

[0189] Successive sampled values ​​in a time series are influenced by past sampled values. As shown in this modified example, by weighting the successive steam turbine outputs Ps(t+τ) in a time series using the cross-correlation function Rmr(τ), the steam turbine output Ps can be determined by taking into account the influence of past sampled values. This improves the accuracy of the plant output Pc.

[0190] <Note>

[0191] The performance evaluation method, the operation control method, the performance evaluation device, and the recording medium described in the above-mentioned embodiments can be understood as follows, for example.

[0192] According to a first aspect of the present invention, a performance evaluation method comprises the steps of: obtaining a sampled value of the gas turbine output and a sampled value of the steam turbine output measured at each time during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate power; and calculating a total output, i.e., a plant output, of the sampled value of the gas turbine output measured at a first time and the sampled value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time.

[0193] By calculating the plant output in consideration of the delay time of the steam turbine output in this manner, the plant output of the power generation plant can be calculated more accurately even when using data measured during commercial operation with a high frequency of load fluctuations.

[0194] According to a second aspect of the present invention, in the step of obtaining the plant output in the performance evaluation method according to the first aspect, the fixed value of the delay time is obtained based on a plurality of sampled values ​​of the gas turbine output and a plurality of sampled values ​​of the steam turbine output.

[0195] Assuming that there is a correlation between the gas turbine output and the steam turbine output, as described above, by obtaining a fixed value of the delay time from the sampled values ​​of the gas turbine output and the steam turbine output, the plant output can be obtained with higher accuracy.

[0196] According to a third aspect of the present invention, in the step of calculating the device output of the performance evaluation method according to the second aspect, the fixed value of the delay time is calculated based on the maximum value of a cross-correlation function between sampled values ​​of the gas turbine output and sampled values ​​of the steam turbine output measured within a certain period of time.

[0197] By determining the fixed value of the delay time based on the maximum value (the most correlated value) of the cross-correlation function in this manner, it is possible to obtain a value estimated to be closer to the actual delay time.

[0198] According to a fourth aspect of the present invention, in the step of determining the device output of the performance evaluation method according to the second aspect, based on sampled values ​​of the gas turbine output and sampled values ​​of the steam turbine output measured within a certain period of time, a combination of a first extreme value of the gas turbine output and a second extreme value of the steam turbine output occurring at a time subsequent to the first extreme value and adjacent to the first extreme value in time series is determined, and the time differences between the measurement times of the first extreme value and the second extreme value for each of the plurality of determined combinations are averaged to determine the fixed value of the delay time.

[0199] In this manner, the delay time of the steam turbine output can be obtained through simple processing.

[0200] According to a fifth aspect of the present invention, in the step of calculating the device output of the performance evaluation method involved in the second aspect, based on the acquired sampling values ​​of the gas turbine output and the acquired sampling values ​​of the steam turbine output, a time difference between the measurement times of a first extreme value of the gas turbine output and a second extreme value of the steam turbine output that is a time after the first extreme value and adjacent to the first extreme value in time series is calculated, and the time difference is set as a fixed value of the delay time in the period from the measurement time of the first extreme value to the measurement time of the next first extreme value.

[0201] By doing so, the delay time can be finely adjusted for each portion within a certain time period through simple processing.

[0202] According to the sixth embodiment of the present invention, in the step of obtaining the device output of the performance evaluation method involved in the fourth or fifth embodiment, the first extreme value and the second extreme value are at least one of the maximum value after the sampling value rises twice consecutively and the minimum value after the sampling value drops twice consecutively.

[0203] By doing so, the influence of the increase or decrease in sampling values ​​due to noise can be reduced, and the first extreme value and the second extreme value can be extracted more accurately.

[0204] According to the seventh aspect of the present invention, in the step of calculating the device output of the performance evaluation method involved in the second aspect, the fixed value of the delay time in the divided period is calculated based on the maximum value of the cross-correlation function of the sampling value of the gas turbine output and the sampling value of the steam turbine output measured in the divided period which is part of the evaluation period of the combined cycle power generation equipment.

[0205] By determining a fixed delay time value based on the maximum value (the most correlated value) of the cross-correlation function, an estimated delay time value closer to reality can be obtained. Furthermore, by further dividing the evaluation period into multiple sub-periods and determining the delay time in each sub-period, the device output can be determined more accurately.

[0206] According to the eighth aspect of the present invention, in the step of calculating the device output of the performance evaluation method involved in the first aspect, a cross-correlation function of the sampling values ​​of the gas turbine output and the sampling values ​​of the steam turbine output measured within a certain period of time is calculated, the second moment includes a plurality of moments, and the device output is calculated by summing a value obtained by weighting each moment of the cross-correlation function for each sampling value of the steam turbine output measured at each moment included in the second moment with the gas turbine output measured at the first moment.

[0207] By doing so, the steam turbine output value can be determined by taking into account the influence of past sampling values, thereby improving the accuracy of the plant output.

[0208] According to the ninth aspect of the present invention, the performance evaluation method involved in any one of the first to eighth aspects further includes the following steps: obtaining a sampling value of the fuel flow rate measured at each moment during the operation of the combined cycle power generation equipment; and calculating the equipment efficiency of the combined cycle power generation equipment based on the equipment output and the fuel flow rate.

[0209] In this manner, the performance of the power generation plant can be evaluated based on the plant efficiency (energy efficiency or heat rate).

[0210] According to a tenth aspect of the present invention, the performance evaluation method according to the ninth aspect further comprises the step of determining an average efficiency for each interval of the device output based on a relationship between the device output and the device efficiency.

[0211] In this manner, it is possible to provide data that allows easy understanding of the tendency of the equipment efficiency (average heat rate) in each section of the equipment output.

[0212] According to the eleventh aspect of the present invention, the performance evaluation method involved in the tenth aspect further includes the following steps: comparing the average efficiency of each interval of the output of the device in the first operating mode of the combined cycle power generation device with the average efficiency of each interval of the output of the device in a second operating mode different from the first operating mode.

[0213] This provides data that compares the performance of two different operating modes and makes it easy to understand which operating mode is expected to achieve improved performance in each section of the device output Pc.

[0214] According to a twelfth aspect of the present invention, in the performance evaluation method according to the eleventh aspect, the first operation mode is operation before a periodic inspection of the combined cycle power plant, and the second operation mode is operation after the periodic inspection.

[0215] This makes it possible to provide data that allows easy understanding of whether or not there is performance improvement due to periodic inspection.

[0216] According to the thirteenth aspect of the present invention, the operation control method of the combined cycle power generation equipment has the following steps: as a result of implementing the performance evaluation method involved in the eleventh aspect, switching to the second operation mode in an interval where the second operation mode has better performance than the first operation mode.

[0217] By doing so, the power generation equipment can be operated more efficiently.

[0218] According to the fourteenth aspect of the present invention, the performance evaluation device comprises: an acquisition unit that acquires sampling values ​​of the gas turbine output and the steam turbine output measured at each moment during the operation of a combined cycle power generation device that uses a gas turbine and a steam turbine to generate electricity; and an output calculation unit that calculates the total output, i.e., the device output, of the sampling value of the gas turbine output measured at a first moment and the sampling value of the steam turbine output corresponding to the gas turbine output at the first moment and measured at a second moment after a predetermined delay time from the first moment.

[0219] According to the fifteenth embodiment of the present invention, a computer-readable recording medium records a program that causes a computer of a performance evaluation device to execute the following steps: obtaining a sampling value of the gas turbine output and a sampling value of the steam turbine output measured at each moment during the operation of a combined cycle power generation device that uses a gas turbine and a steam turbine to generate electricity; and calculating the total output, i.e., the device output, of the sampling value of the gas turbine output measured at a first moment and the sampling value of the steam turbine output corresponding to the gas turbine output at the first moment and measured at a second moment after a specified delay time from the first moment.

[0220] Industrial applicability

[0221] According to the performance evaluation method, operation control method, performance evaluation device, and recording medium of the present invention, it is possible to evaluate the performance of a device based on data measured during operation.

[0222] Explanation of symbols

[0223] 1-Performance evaluation system, 10-Power generation equipment (combined cycle power generation equipment), 20-Performance evaluation device, 201-Acquisition unit, 202-Output calculation unit, 203-Efficiency calculation unit, 204-Comparison unit, 205-Output processing unit, 206-Memory, 30-Data server, 100-Gas turbine, 110-Generator, 120-Waste heat recovery boiler, 130-Steam turbine, 140-Generator, 150-Condenser, 160-Control device, 161-Operation control unit, 162-Operation receiving unit, 163-Display unit, 900-Computer, 901-Processor.

Claims

1. A performance evaluation method comprising the following steps: acquiring a sampled value of the gas turbine output and a sampled value of the steam turbine output measured at each time during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate power; and determining the total output, i.e., the plant output, of a sampling value of the gas turbine output measured at a first time and a sampling value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time; In the step of obtaining the plant output, the fixed value of the delay time is obtained based on a maximum value of a cross-correlation function between sampled values ​​of the gas turbine output and sampled values ​​of the steam turbine output measured within a certain period of time.

2. A performance evaluation method comprising the following steps: acquiring a sampled value of the gas turbine output and a sampled value of the steam turbine output measured at each time during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate power; and determining the total output, i.e., the plant output, of a sampling value of the gas turbine output measured at a first time and a sampling value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time; In the step of finding the device output, determining, based on sampled values ​​of the gas turbine output and sampled values ​​of the steam turbine output measured within a certain period of time, a combination of a first extreme value of the gas turbine output and a second extreme value of the steam turbine output that occurs after the first extreme value and is adjacent to the first extreme value in time series; The fixed value of the delay time is obtained by averaging the time differences between the measurement times of the first extreme value and the second extreme value for each of the determined plurality of combinations.

3. A performance evaluation method comprising the following steps: acquiring a sampled value of the gas turbine output and a sampled value of the steam turbine output measured at each time during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate power; and determining the total output, i.e., the plant output, of a sampling value of the gas turbine output measured at a first time and a sampling value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time; In the step of finding the device output, Based on the acquired sampled values ​​of the gas turbine output and the steam turbine output, a time difference between the measurement times of a first extreme value of the gas turbine output and a second extreme value of the steam turbine output that is subsequent to the first extreme value and adjacent to the first extreme value in time series is determined; The time difference is set to a fixed value of the delay time in a period from the measurement time of the first extreme value to the measurement time of the next first extreme value.

4. The performance evaluation method according to claim 2 or 3, wherein: In the step of finding the device output, The first extreme value and the second extreme value are at least one of a maximum value after a sampling value rises twice consecutively and a minimum value after a sampling value falls twice consecutively.

5. A performance evaluation method comprising the following steps: acquiring a sampled value of the gas turbine output and a sampled value of the steam turbine output measured at each time during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate power; and determining the total output, i.e., the plant output, of a sampling value of the gas turbine output measured at a first time and a sampling value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time; In the step of finding the device output, The fixed value of the delay time in the divided period is obtained based on the maximum value of the cross-correlation function between the sampled values ​​of the gas turbine output and the sampled values ​​of the steam turbine output measured in the divided period as part of the evaluation period of the combined cycle power plant.

6. The performance evaluation method according to any one of claims 1 to 3 and 5, wherein: In the step of finding the device output, Calculating a cross-correlation function between the sampled values ​​of the gas turbine output and the sampled values ​​of the steam turbine output measured within a certain period of time, The second moment includes multiple moments, The plant output is obtained by summing a value obtained by weighting each sampling value of the steam turbine output measured at each time included in the second time based on the cross-correlation function and the gas turbine output measured at the first time.

7. The performance evaluation method according to any one of claims 1 to 3 and 5, further comprising the following steps: Acquiring sampled values ​​of fuel flow rates measured at various moments during operation of the combined cycle power generation equipment; and The plant efficiency of the combined cycle power plant is obtained based on the plant output and the fuel flow rate.

8. The performance evaluation method according to claim 7, further comprising the steps of: According to the relationship between the device output and the device efficiency, the average efficiency of each interval of the device output is calculated.

9. The performance evaluation method according to claim 8, further comprising the steps of: The average efficiency of each interval of the plant output in a first operation mode of the combined cycle power plant is compared with the average efficiency of each interval of the plant output in a second operation mode different from the first operation mode.

10. The performance evaluation method according to claim 9, wherein: The first operation mode is an operation before a periodic inspection of the combined cycle power plant, and the second operation mode is an operation after the periodic inspection.

11. A method for controlling the operation of a combined cycle power generation device, comprising the following steps: As a result of implementing the performance evaluation method according to claim 9, the second operating mode is switched to in a section where the second operating mode has better performance than the first operating mode.

12. A performance evaluation device comprising: an acquisition unit that acquires a sampled value of the gas turbine output and a sampled value of the steam turbine output measured at each time during operation of a combined cycle power generation plant that uses the gas turbine and the steam turbine to generate power; and an output calculation unit that calculates a total output, i.e., a plant output, of a sampling value of the gas turbine output measured at a first time and a sampling value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time. The output calculation unit obtains the fixed value of the delay time based on a maximum value of a cross-correlation function between sampling values ​​of the gas turbine output and sampling values ​​of the steam turbine output measured within a certain period of time.

13. A computer-readable recording medium having recorded thereon a program for causing a computer of a performance evaluation device to execute the following steps: acquiring a sampled value of the gas turbine output and a sampled value of the steam turbine output measured at each time during operation of a combined cycle power generation plant that uses a gas turbine and a steam turbine to generate power; and determining the total output, i.e., the plant output, of a sampling value of the gas turbine output measured at a first time and a sampling value of the steam turbine output measured at a second time corresponding to the gas turbine output at the first time and after a predetermined delay time has elapsed from the first time; In the step of obtaining the plant output, the fixed value of the delay time is obtained based on a maximum value of a cross-correlation function between sampled values ​​of the gas turbine output and sampled values ​​of the steam turbine output measured within a certain period of time.

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