FIELD OF THE INVENTION
[0001] Embodiments of this disclosure generally relate to power systems, and more specifically, to systems and methods for startup fuel flow scaling in a turbine.
BACKGROUND OF THE INVENTION
[0002] A power plant system can include a turbine, such as, for example, a gas turbine. The turbine may use fuel originating from different sources with variation in fuel composition and heating value. Fuels can be blended with different fuel compositions that may lead to turbine operation at different conditions compared to original design. During startup and acceleration of the turbine, certain factors associated with reliable and/or improved operation of combustors in turbines may need to be tuned.
BRIEF DESCRIPTION OF THE INVENTION
[0003] Some or all of the above needs and/or problems may be addressed by certain embodiments of the disclosure. Certain embodiments may include systems and methods for startup fuel flow scaling in a turbine. According to one embodiment of the disclosure, a method for startup fuel flow scaling in a turbine can be provided. The method may include receiving a composition and a heating value of a fuel delivered to a turbine; receiving one or more signals associated with ambient conditions associated with operation of the turbine; receiving a firing temperature associated with operation of a combustor associated with the turbine. The method may further include: based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature, determining a fuel flow rate and a heat consumption rate associated with operation of the turbine. The method may further include receiving valve characteristics associated

with one or more fuel control valves associated with the combustor; based at least in part on the fuel flow rate, the heat consumption rate, and the valve characteristics, determining a fuel stroke reference (FSR) scaling factor associated with operation of the combustor; and based at least in part on determining the FSR scaling factor, facilitating a corrective action for a startup schedule associated with operation of the combustor.
[0004] According to another embodiment of the disclosure, a system can be provided. The system can include a controller. The system can also include a memory with instructions executable by a computer for performing operations that can include: receiving a composition and a heating value of a fuel delivered to a turbine; receiving one or more signals associated with ambient conditions associated with operation of the turbine; receiving a firing temperature associated with operation of a combustor associated with the turbine; based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature, determining a fuel flow rate and a heat consumption rate associated with operation of the turbine; receiving valve characteristics associated with one or more fuel control valves associated with the combustor; based at least in part on the fuel flow rate, the heat consumption rate, and the valve characteristics, determining a fuel stroke reference (FSR) scaling factor associated with operation of the combustor; and based at least in part on determining the FSR scaling factor, facilitating a corrective action for a startup schedule associated with operation of the combustor.
[0005] According to another embodiment of the disclosure, a non-transitory computer-readable medium can be provided. The non-transitory computer-readable medium can include instructions executable by a computer for performing operations that can include, receiving a composition and a heating value of a fuel delivered to a turbine; receiving one or more signals associated with ambient conditions associated

with operation of the turbine; receiving a firing temperature associated with operation of a combustor associated with the turbine; based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature, determining a fuel flow rate and a heat consumption rate associated with operation of the turbine; receiving valve characteristics associated with one or more fuel control valves associated with the combustor; based at least in part on the fuel flow rate, the heat consumption rate, and the valve characteristics, determining a fuel stroke reference (FSR) scaling factor associated with operation of the combustor; and based at least in part on determining the FSR scaling factor, facilitating a corrective action for a startup schedule associated with operation of the combustor.
[0006] Other embodiments, features, and aspects of the disclosure will become apparent from the following description taken in conjunction with the following drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
[0007] Having thus described the disclosure in general terms, reference will now be made to the accompanying drawings, which are not necessarily drawn to scale, and wherein:
[0008] FIG. 1 is a block diagram illustrating an example environment in which certain systems and methods for startup fuel flow scaling in a turbine may be implemented, in accordance with an example embodiment of the disclosure.
[0009] FIG. 2 illustrates an example system schematic for an example implementation of systems and methods for startup fuel flow scaling in a turbine, in accordance with an example embodiment of the disclosure.

[0010] FIG. 3 is a flow chart illustrating a method for startup fuel flow scaling in a turbine, according to an example embodiment of the disclosure.
[0011] FIG. 4 is an example controller in which certain systems and methods for startup fuel flow scaling in a turbine can be implemented, in accordance with an example embodiment of the disclosure.
DETAILED DESCRIPTION
[0012] The following detailed description includes references to the accompanying drawings, which form part of the detailed description. The drawings depict illustrations, in accordance with example embodiments. These example embodiments, which are also referred to herein as “examples,” are described in enough detail to enable those skilled in the art to practice the present subject matter. The example embodiments may be combined, other embodiments may be utilized, or structural, logical, and electrical changes may be made, without departing from the scope of the claimed subject matter. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope is defined by the appended claims and their equivalents. Like numbers refer to like elements throughout.
[0013] Certain embodiments described herein relate to systems and methods for startup fuel flow scaling in a turbine. For example, as will be described in greater detail herein, a composition and a heating value of a fuel delivered to a turbine may be received. Also, one or more signals associated with ambient conditions associated with operation of the turbine may be received. Furthermore, a firing temperature associated with operation of a combustor associated with the turbine may be received. Based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature, a fuel flow rate and a heat consumption rate associated with operation of the turbine may be determined. Furthermore, valve characteristics associated with one or more fuel control valves

associated with the combustor may be received. Based at least in part on the fuel flow rate, the heat consumption rate, and the valve characteristics, a fuel stroke reference (FSR) scaling factor associated with operation of the combustor may be determined. Based at least in part on the FSR scaling factor, a corrective action for a startup schedule associated with operation of the combustor may be facilitated.
[0014] One or more technical effects associated with certain embodiments herein may include, but are not limited to, a decrease in turbine downtime and calculation complexity to update FSR scaling factor for fuel composition variation. Additionally, more accurate online FSR scaling factor inputs can improve combustor operation and reliability, lower operating cost, and relatively safer designs. The following provides a detailed description of various example embodiments related to systems and methods for startup fuel flow scaling in a turbine.
[0015] FIG. 1 depicts an example system 100 to implement certain systems and methods for startup fuel flow scaling in a turbine 105, according to an embodiment of the disclosure. The system 100 may include a combustor 110 that may be associated with a turbine 105, such as a gas turbine, that may produce power, and one or more controllers, such as the control system 150 of FIG. 1 that can control the turbine 105 and/or the combustor 110. The system 100, according to an embodiment of the disclosure, can further include turbine operational data 120 that may receive data from sensors associated with the turbine 105, ambient data 115, fuel data 125, a communication interface 130, a predictive model 140, a control system 150 and/or controller, a FSR scaling algorithm module 160, and a client computer 180.
[0016] Referring again to FIG. 1, The combustor 110 may receive a fuel flow and an airflow that may be mixed and ignited to produce combustion products that may be propelled through an expansion turbine (not shown). Reliable operation of the combustor 110 can be predicated on several factors, including the ratio of fuel flow to

airflow (fuel-air ratio) delivered to the combustor 110, the fuel composition and the heating value of the fuel delivered to the turbine. During startup of the turbine 105, lean blow out (LBO) limits, overfiring limits, and combustor can-to-can variations limits may be considered in regards to combustor operability. A startup schedule for fuel-air ratio and/or fuel stroke reference (FSR) can improve combustion operation during startup. FSR may represent a fuel demand signal from the control system 150 that may maintain a speed or a power of the turbine 105. FSR may be proportional to a combined position of one or more fuel control valves feeding fuel flow to the combustor 110.
[0017] The turbine operational data 120, ambient data 115, and the fuel data 125 may include discrete data and time series data. For example, turbine operational data 120 may include time series data, such as turbine operating speed, turbine operating power, turbine operating pressure, turbine firing temperature, and so on. Turbine operational data 120 may also include operational hours of the combustor 110, operating time in specific modes of operation of the combustor 110, and so on. Turbine operational data 120 may also include valve characteristics associated with one or more fuel control valves and may include at least one of the following: a valve flow coefficient as a function of valve position, or a valve recovery coefficient as a function of valve position. In an example embodiment of the disclosure, ambient data 115 may include barometric pressure data, ambient temperature data, relative humidity data, and so on. Fuel data 125 may include data representing fuel composition, fuel temperature, fuel pressure, fuel heating value, and so on.
[0018] The predictive model 140 and the control system 150 can be communicatively coupled to turbine operational data 120, ambient data 115, and fuel data 125 via a communication interface 130, which can be any of one or more communication networks such as, for example, an Ethernet interface, a Universal Serial Bus (USB) interface, or a wireless interface. In certain embodiments, the

control system 150 can be coupled to the valve operational data 125 and operational data from one or more power plants 140 by way of a hard wire or cable, such as, for example, an interface cable.
[0019] The control system 150 and/or controller can include a computer system having one or more processors that can execute computer-executable instructions to receive and analyze data from various data sources, such as the turbine operational data 125, ambient data 115, and fuel data 125 and can include the predictive model 140 and FSR scaling algorithm. The control system 150 and/or controller can further provide inputs, gather transfer function outputs, and transmit instructions from any number of operators and/or personnel. The control system 150 and/or controller can perform control and/or corrective actions as well as provide inputs to the FSR scaling algorithm module 160 and the predictive model 140. In some other embodiments, the control system 150 and/or controller may determine control and/or corrective actions to be performed based on data received from one or more data sources, for example, from the turbine operational data 120, ambient data 115 or fuel data 125. In other instances, the control system 150 and/or controller can be an independent entity communicatively coupled to the FSR scaling algorithm module 160.
[0020] According to an embodiment of the disclosure, the system 100 of FIG. 1 can include a controller 150 and/or controller and a memory with computer-readable instructions that can receive a composition and a heating value of a fuel delivered to the turbine 105. The controller 150 and/or controller can further receive one or more signals associated with ambient conditions associated with operation of the turbine, such as the ambient data 115. The controller can further receive a firing temperature associated with operation of the combustor 110 associated with the turbine 105. Based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature

associated with operation of the combustor 110, a fuel flow rate and a heat consumption rate associated with operation of the turbine 105 may be determined. The controller may further receive valve characteristics associated with one or more fuel control valves associated with the combustor 110. Based at least in part on the fuel flow rate, the heat consumption rate, and the valve characteristics, the fuel stroke reference (FSR) scaling factor associated with operation of the turbine 105 may be determined. Based at least in part on determining the FSR scaling factor, a corrective action for a startup schedule associated with operation of the combustor may be facilitated.
[0021] The startup schedule associated with operation of the combustor may include at least one of the following: a combustor fuel-to-air ratio as a function of turbine speed, or a combustor FSR as a function of turbine speed. The corrective action associated with operation of the turbine may further include: issuing a customer advisory to update the startup schedule, or automatically updating the startup schedule. In an example embodiment of the disclosure, the customer advisory to update the startup schedule, the customer may be informed of a change in FSR scaling factor that may lead to change in startup schedule in the control system 150. The customer may then need to manually have software associated with the control system 150 and/or controller updated to update the startup schedule to account for the change in FSR scaling factor. In another example embodiment of the disclosure, the startup schedule may be updated automatically, which may reduce costly down time of the turbine 105. In addition, the capability to automatically update startup schedule can mean reliable combustor operation even with changing fuel compositions.
[0022] In an example embodiment of the disclosure, the computer-executable instructions to determine the fuel flow rate and the heat consumption rate may further use one or more predictive models associated with operation of the turbine 105. The one or more predictive models, such as predictive model 140 of FIG. 1 may be

contain a mathematical model of turbine 105 and combustor 110 operation. The predictive model 140 may include an adaptive real time engine simulation (ARES) platform to determine a real-time FSR scaling factor for the combustor 110 before and during the turbine 105 startup. The predictive model 140 may be run on the control system 150 and/or controller or on an independent or remote server. In an example embodiment of the disclosure, the FSR scaling factor may be locally determined real-time at an interface associated with the turbine 105. In another example embodiment of the disclosure, the FSR scaling factor may be remotely determined in real-time via an interface with a remote server, such as a cloud-based server and/or resource.
[0023] Referring again to FIG. 1, ambient data 115 may represent the one or more signals associated with ambient conditions that may include at least one of the following: an ambient signal, a barometric signal, or a relative humidity of ambient air signal.
[0024] Attention is now drawn to FIG. 2, which depicts an example implementation 200 of systems and methods for startup fuel flow scaling in the turbine 105, in accordance with an example embodiment of the disclosure. As shown in FIG. 2, a predictive model 140 may receive fuel composition 225 and heating value 230 inputs from a fuel composition measurement system 210 that may utilize a fuel sample 205 to make measurements. The fuel composition measurement system 210 may include any of or otherwise may be one of: a gas chromatograph, a Wobbe meter, or a gas analyzer.
[0025] Referring again to FIG. 2, the predictive model 140 may also receive ambient conditions 215 that may include ambient data 115 of FIG. 1. Furthermore, the predictive model 140 may also receive a predicted firing temperature 220 associated with operation of the combustor 110. The predictive models may output a predicted fuel flow rate 235 and a predicted heat consumption 240. The predicted fuel

flow rate 235 and predicted heat consumption 240 along with valve characteristics 245 of the fuel control valves may be fed into a second fuel scaling calculation algorithm 250 that may estimate FSR scaling factor 255 based on inputs received. Based on the determined FSR scaling factor, the control system 150 and/or controller may provide one of: a customer advisory 260, or automatically update the controller 265.
[0026] Referring now to FIG. 3, a flow diagram of an example method 300 for startup fuel flow scaling in the turbine 105, according to an example embodiment of the disclosure. The method 300 may be utilized in association with various systems, such as the system 100 illustrated in FIG. 1.
[0027] The method 300 may begin at block 305. At block 305, a composition and a heating value of a fuel delivered to a turbine 105 may be received. At block 310, the method 300 may include receiving one or more signals associated with ambient conditions associated with operation of the turbine 105. At block 515, the method 500 may further include receiving a firing temperature associated with operation of a combustor 110 associated with the turbine 105.
[0028] At block 320, the method 300 may further include determining a fuel flow rate 235 and a heat consumption rate 240 associated with operation of the turbine 105, based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature associated with operation of the combustor 110. At block 325, the method may include receiving valve characteristics 245 associated with one or more fuel control valves.
[0029] At block 330, based at least in part on the predicted fuel flow rate 235, the predicted heat consumption rate 240, and the valve characteristics 245,

determining a fuel stroke reference (FSR) scaling factor 255 associated with operation of the combustor 110.
[0030] Further, at block 335, the method 300 may include facilitating a corrective action for a startup schedule associated with operation of the combustor 110, based at least in part on determining the FSR scaling factor.
[0031] Attention is now drawn to FIG. 4, which illustrates an example control system 150 and/or controller configured for implementing certain systems and methods for startup fuel flow scaling in the turbine 105, in accordance with certain embodiments of the disclosure. The control system 150 and/or controller can include a processor 405 for executing certain operational aspects associated with implementing certain systems and methods for startup fuel flow scaling in the turbine 105 in accordance with certain embodiments of the disclosure. The processor 405 can be capable of communicating with a memory 425. The processor 405 can be implemented and operated using appropriate hardware, software, firmware, or combinations thereof. Software or firmware implementations can include computer-executable or machine-executable instructions written in any suitable programming language to perform the various functions described. In one embodiment, instructions associated with a function block language can be stored in the memory 425 and executed by the processor 405.
[0032] The memory 425 can be used to store program instructions that are loadable and executable by the processor 405 as well as to store data generated during the execution of these programs. Depending on the configuration and type of the control system 150 and/or controller, the memory 425 can be volatile (such as random access memory (RAM)) and/or non-volatile (such as read-only memory (ROM), flash memory, etc.). In some embodiments, the memory devices can also include additional removable storage 430 and/or non-removable storage 435 including, but not limited to, magnetic storage, optical disks, and/or tape storage. The

disk drives and their associated computer-readable media can provide non-volatile storage of computer-readable instructions, data structures, program modules, and other data for the devices. In some implementations, the memory 425 can include multiple different types of memory, such as static random access memory (SRAM), dynamic random access memory (DRAM), or ROM.
[0033] The memory 425, the removable storage 430, and the non-removable storage 435 are all examples of computer-readable storage media. For example, computer-readable storage media can include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Additional types of computer storage media that can be present include, but are not limited to, programmable random access memory (PRAM), SRAM, DRAM, RAM, ROM, electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile discs (DVD) or other optical storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the devices. Combinations of any of the above should also be included within the scope of computer-readable media.
[0034] The control system 150 and/or controller can also include one or more communication connections 410 that can allow a control device (not shown) to communicate with devices or equipment capable of communicating with the control system 150 and/or controller. The control system 150 and/or controller can also include a computer system (not shown). Connections can also be established via various data communication channels or ports, such as USB or COM ports to receive cables connecting the control system 150 and/or controller to various other devices on a network. In one embodiment, the control system 150 and/or controller can

include Ethernet drivers that enable the control system 150 and/or controller to communicate with other devices on the network. According to various embodiments, communication connections 410 can be established via a wired and/or wireless connection on the network.
[0035] The control system 150 and/or controller can also include one or more input devices 415, such as a keyboard, mouse, pen, voice input device, gesture input device, and/or touch input device. It can further include one or more output devices 420, such as a display, printer, and/or speakers.
[0036] In other embodiments, however, computer-readable communication media can include computer-readable instructions, program modules, or other data transmitted within a data signal, such as a carrier wave, or other transmission. As used herein, however, computer-readable storage media do not include computer-readable communication media.
[0037] Turning to the contents of the memory 425, the memory 425 can include, but may not be limited to, an operating system (OS) 426 and one or more application programs or services for implementing the features and aspects disclosed herein. Such applications or services can include a FSR scaling algorithm module 160 for executing certain systems and methods for startup fuel flow scaling in the turbine 105. The FSR scaling algorithm module 160 can reside in the memory 425 or can be independent of the control system 150 and/or controller. In one embodiment, the FSR scaling algorithm module 160 can be implemented by software that can be provided in configurable control block language and can be stored in non-volatile memory. When executed by the processor 405, the FSR scaling algorithm module 160 can implement the various functionalities and features associated with the control system 150 and/or controller described in this disclosure.

[0038] As desired, embodiments of the disclosure may include a control system 150 and/or controller with more or fewer components than are illustrated in FIG. 4. Additionally, certain components of the control system 150 and/or controller may be combined in various embodiments of the disclosure. The control system 150 and/or controller of FIG. 4 is provided by way of example only.
[0039] References are made to block diagrams of systems, methods, apparatuses, and computer program products according to example embodiments. It will be understood that at least some of the blocks of the block diagrams, and combinations of blocks in the block diagrams, may be implemented at least partially by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, special purpose hardware-based computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functionality of at least some of the blocks of the block diagrams, or combinations of blocks in the block diagrams discussed.
[0040] These computer program instructions may also be stored in a non-transitory computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the function specified in the block or blocks. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operations and/or operational acts to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions that execute on the computer or other programmable apparatus provide

task, acts, actions, or operations for implementing the functions specified in the block or blocks.
[0041] One or more components of the systems and one or more elements of the methods described herein may be implemented through an application program running on an operating system of a computer. They also may be practiced with other computer system configurations, including hand-held devices, multiprocessor systems, microprocessor based or programmable consumer electronics, mini¬computers, mainframe computers, and the like.
[0042] Application programs that are components of the systems and methods described herein may include routines, programs, components, data structures, and so forth that implement certain abstract data types and perform certain tasks or actions. In a distributed computing environment, the application program (in whole or in part) may be located in local memory or in other storage. In addition, or alternatively, the application program (in whole or in part) may be located in remote memory or in storage to allow for circumstances where tasks may be performed by remote processing devices linked through a communications network.
[0043] Many modifications and other embodiments of the example descriptions set forth herein to which these descriptions pertain will come to mind having the benefit of the teachings presented in the foregoing descriptions and the associated drawings. Thus, it will be appreciated that the disclosure may be embodied in many forms and should not be limited to the example embodiments described above.
[0044] Therefore, it is to be understood that the disclosure is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims. Although

specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.

A method comprising:
receiving a composition and a heating value of a fuel delivered to a turbine;
receiving one or more signals associated with ambient conditions associated with operation of the turbine;
receiving a firing temperature associated with operation of a combustor associated with the turbine;
based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature, determining a fuel flow rate and a heat consumption rate associated with operation of the turbine;
receiving valve characteristics associated with one or more fuel control valves associated with the combustor;
based at least in part on the fuel flow rate, the heat consumption rate, and the valve characteristics, determining a fuel stroke reference (FSR) scaling factor associated with operation of the combustor; and
based at least in part on determining the FSR scaling factor, facilitating a corrective action for a startup schedule associated with operation of the combustor.
The method as claimed in claim 1, wherein determining the fuel flow rate and the heat consumption rate comprises:
using one or more predictive models associated with operation of the turbine.
The method as claimed in claim 1, wherein the one or more signals associated with ambient conditions comprises: an ambient temperature signal, a

barometric pressure signal, or a relative humidity of ambient air signal.
The method as claimed in claim 1, wherein determining the FSR scaling factor comprises at least one of the following: determining the FSR scaling factor real-time at a turbine interface locally, or determining the FSR scaling factor real-time in a cloud interface remotely.
The method as claimed in claim 1, wherein the valve characteristics associated with one or more fuel control valves comprises at least one of the following: a valve flow coefficient as a function of valve position, or a valve recovery coefficient as a function of valve position.
The method as claimed in claim 1, wherein the startup schedule associated with operation of the combustor comprises at least one of the following: a combustor fuel-to-air ratio as a function of turbine speed, or a combustor FSR as a function of turbine speed.
The method as claimed in claim 1, wherein facilitating a corrective action associated with operation of the turbine comprises at least one of the following: issuing a customer advisory to update the startup schedule, or automatically updating the startup schedule.
A system comprising:
a controller; and
a memory comprising computer-executable instructions operable to:
receive a composition and a heating value of a fuel delivered to a turbine;
receive one or more signals associated with ambient conditions associated with operation of the turbine;

receive a firing temperature associated with operation of a combustor associated with the turbine;
based at least in part on the composition, the heating value, the one or more signals associated with ambient conditions, and the firing temperature associated with operation of the combustor, determine a fuel flow rate and a heat consumption rate associated with operation of the turbine;
receive valve characteristics associated one or more fuel control valves associated with the combustor;
based at least in part on the fuel flow rate, the heat consumption rate, and the valve characteristics, determine a fuel stroke reference (FSR) scaling factor associated with operation of the turbine; and
based at least in part on determining the FSR scaling factor, facilitate a corrective action for a startup schedule associated with operation of the combustor.
The system as claimed in claim 8, wherein the computer-executable instructions to determine the fuel flow rate and the heat consumption rate are further operable to:
use one or more predictive models associated with operation of the turbine.
The system as claimed in claim 8, wherein the one or more signals associated with ambient conditions comprises at least one of the following: an ambient temperature signal, a barometric pressure signal, or a relative humidity of ambient air signal.
The system as claimed in claim 8, wherein the computer-executable

instructions operable to determine the FSR scaling factor are further operable to:
determine the FSR scaling factor real-time at a turbine interface locally, or determine the FSR scaling factor real-time in a cloud interface remotely.
The system as claimed in claim 8, wherein the valve characteristics associated with one or more fuel control valves comprises at least one of the following: a valve flow coefficient as a function of valve position, or a valve recovery coefficient as a function of valve position.
The system as claimed in claim 8, wherein the startup schedule associated with operation of the combustor comprises at least one of the following: a combustor fuel-to-air ratio as a function of turbine speed, or a combustor FSR as a function of turbine speed.
The system as claimed in claim 8, wherein the computer-executable instructions operable to facilitate a corrective action associated with operation of the turbine are further operable to: issue a customer advisory to update the startup schedule, or automatically update the startup schedule.