Patent Application
20150167961
The subject matter disclosed herein relates to heat recovery steam generation systems and, in particular, to controlling a level of water in a boiler drum of the heat recovery steam generation system.
Heat recovery steam generators (HRSGs) recover heat from a gas stream and generate steam that is used in a turbine. In an HRSG, hot gas flows across an evaporator, which converts liquid water in the evaporator to steam. The steam is supplied to a steam drum, which supplies pressurized steam to a destination, such as a steam turbine. Operation of the HRSG is managed by monitoring and controlling flow of the liquid water, steam and heated gas in the HRSG.
According to one aspect of the invention, a method of controlling a water level in a steam drum includes predicting a transient in the steam drum based on plant characteristics including steam flow from the steam drum, drum pressure in the steam drum, and one or both of a gas turbine load and a position of a bypass valve configured to control the steam flow from the steam drum to two or more steam flow conduits. The method also includes generating a sliding setpoint to control the water level based on predicting the transient in the steam drum.
According to another aspect of the invention a heat recovery steam generation system includes a drum boiler including a steam drum, an evaporator to receive water from the steam drum and a heated gas from a gas turbine, and a riser between the evaporator and the steam drum to direct steam from the evaporator to the steam drum. The system includes a controller configured to control a water level in the steam drum by predicting a transient in the steam drum based on plant characteristics including steam flow from the steam drum, drum pressure in the steam drum, and one or both of a gas turbine load and a position of a bypass valve configured to control the steam flow from the steam drum to two or more steam flow conduits, and generating a sliding setpoint based on predicting the transient.
According to yet another aspect of the invention, a heat recovery steam generator (HRSG) plant controller includes memory configured to store plant characteristics and a sliding setpoint transfer function and a processor. The processor is configured to predict a transient in a steam drum of the HRSG based on the plant characteristics including steam flow from the steam drum, drum pressure in the steam drum, and one or both of a gas turbine load and a position of a bypass valve configured to control the steam flow from the steam drum to two or more steam flow conduits. The processor is further configured to generate a sliding setpoint to control a water level in the steam drum based on predicting the transient.
These and other advantages and features will become more apparent from the following description taken in conjunction with the drawings.
The subject matter, which is regarded as the invention, is particularly pointed out and distinctly claimed in the claims at the conclusion of the specification. The foregoing and other features, and advantages of the invention are apparent from the following detailed description taken in conjunction with the accompanying drawings in which:
The detailed description explains embodiments of the invention, together with advantages and features, by way of example with reference to the drawings.
Heat recovery steam generators (HRSGs) have properties, such as fluid pressures and temperatures, which are monitored and controlled to generate steam having desired characteristics. Embodiments of the invention relate to controlling an HRSG using one or both of a physics-based model describing the physics of a steam drum and a data-based model based on data received from the steam drum.
The steam is output from the steam drum 111 to a steam turbine (not shown in
The liquid water level and the steam pressure in the steam drum 111 are controlled or regulated by a controller 130. In particular, the controller 130 may command the valve 114 position to adjust the feed-water flow into the steam drum 111. The controller 130 may also command the bypass valve 119 position to adjust the flow of steam into one or both of the pipe 118 and the pipe 120. In addition, the controller 130 may command the heat input to the evaporator 112, such as by adjusting a fuel supplied to a combustor, fans, vanes or blades to control or regulate a temperature or flow of the heated gas to the evaporator 112.
The controller 130 commands the feed-water flow, steam flow and heat input to the evaporator based on sensor signals 133. The sensor signals 133 are generated by sensors (not shown) that measure fluid flow, steam flow, drum pressure, drum temperature, and bypass position. The controller may also control feed-water flow, steam flow, and heat input to the evaporator based on gas turbine load. For example, the steam drum 111 may include water level sensors and steam pressure sensors, the pipe 113 may include a fluid flow sensor, the evaporator 112 or gas flow conduits that transmit a heated gas to heat the evaporator may include temperature sensors, and the pipes 117, 118 and 120 may include flow and pressure sensors.
The controller 130 includes a data-based model 131 and a physics-based model 132. The data-based model 131 and the physics-based model 132 are used to generate control signals to control a setpoint of the water/steam mixture 121 in the drum 111. The data-based model 131 uses sensor data of the drum boiler 110 to generate the control signals. The data-based model 131 may be a sliding setpoint model that generates a setpoint based on a water level in the drum 111 as a function of drum boiler 110 characteristics, such as steam flow, drum pressure, bypass valve position, and gas turbine load. The physics-based model 132 models the physics of the drum boiler 110 and generates a setpoint for controlling the water level in the drum based on the modeled physics of the drum boiler 110. In one embodiment, the controller 130 generates the control signals using a hybrid model including both the data-based model 131 and the physics-based model 132. In other embodiments, the controller 130 may include only one or the other of the data-based model 131 and the physics-based model 132.
In embodiments of the invention, one or both of the data-based model 131 and the physics-based model 132 is configured to predict a transient in the drum 111, where a transient is a change in the one or both of water 121 level (or water/steam mixture 121 level) or pressure in the drum 111. One or both of the data-based model 131 and the physics-based model 132 is also configured to adjust a setpoint of the water 121 based on the predicted transient. For example, if the bypass valve 119 opens to provide steam to a steam turbine, the drum 111 may be expected to contract and a water 121 level rise. Accordingly, the setpoint may be adjusted to compensate for the contraction of the drum, changes in drum pressure, changes in feed water flow, etc.
The controller 130 includes at least one processor and memory, and the data-based model 131 and the physics-based model 132 may include computer programs stored in the memory and executed on the processor. In one embodiment, the controller receives measured data from the boiler 110 and analyzes the measured data with the data-based model 131 to generate a sliding setpoint or control signals to control a water level or a level of the water/steam mixture 121 in the drum 111. In one embodiment, the controller 130 further accesses pre-stored data regarding one or more parameters and characteristics of the boiler 110 and historical data regarding factors such as steam flow, drum pressure, bypass position, and gas turbine load to generate the set-point control signals.
The controller 130 may be a single element (1E) controller, a three element (3E) controller, or any other type of controller for controlling the operation of the boiler 110, including the water/steam mixture 121 level in the drum 111.
In one embodiment, the data-based model 131 generates a sliding setpoint, or a level of the water/steam mixture 121 as a function of steam flow and drum 111 pressure. The setpoint may also be determined based on bypass valve position, gas turbine load, or any other relevant factor. The sliding setpoint may be generated based on a predicted transient, which is a change in a water 121 (or water/steam mixture 121) level in the drum 111 associated with a predicted transient in the drum 111.
The controller 210 includes a model-based initial state estimator 211. The model-based initial state estimator 211 receives as inputs drum boiler 231 characteristics, such as an exhaust temperature, drum pressure, and drum level, analyzes the characteristics with the initial state estimator, and outputs initial states and parameter data to the setpoint model 212.
The setpoint model 212 receives as inputs the initial states and parameter data from the model-based initial state estimator 211, as well as other measured drum boiler 231 data, such as steam flow, feedwater temperature, fuel gas flow, and fuel gas temperature. The setpoint model 212 predicts a transient, or a change in one or both of a water level and a pressure in the steam drum of the drum boiler 231, and generates a first setpoint 213 based on the aforementioned inputs. In one embodiment, the setpoint model 212 is a physics-based model that models the physics of the plant 230. Modeling the physics of the plant may include taking into account steam distribution in risers and the steam drum, steam volume dynamics resulting in swell and shrink phenomena of the steam drum, and temperature distribution inside the steam drum.
The system 200 also includes a sliding setpoint generator 214, which is a data-based model to generate a sliding setpoint 215. In one embodiment, the sliding setpoint generator 214 calculates the sliding setpoint 215 based on measured data from the drum boiler 231 or other apparatus in the plant 230, such as a gas turbine (not shown). The measured data includes the plant characteristics 217, such as steam flow, drum pressure, bypass valve position, gas turbine load or heat supplied to convert water to steam, and any other characteristic of the plant 230 affecting the level of water or a water/steam mixture in the drum boiler 231. For example, while the drum pressure may be measured directly, detecting the position of the level control valve 232 or a bypass valve, such as the bypass valve 119 of
In one embodiment, the sliding setpoint generator 214 calculates the sliding setpoint 215 based on historical data 218 regarding the characteristics of the drum boiler 231 or other plant 230 apparatuses analyzed. In embodiments of the invention, the historical data 218 is different from measured or sensed data, inasmuch as the historical data 218 is data that has been measured in the past in the system 200 or in other systems, and not during the present operation of the system 200, and measured data is real-time data that is being presently measured while the system 200 is operating. In particular, the historical data 218 is data stored in memory, and not data received from sensors presently sensing conditions of the plant 230. The historical data 218 may include historical steam flow, drum pressure, bypass valve position, gas turbine load, and any other historical data corresponding to characteristics of the plant 230 affecting the level of water or a water/steam mixture in the drum boiler 231.
In yet another embodiment, the sliding setpoint generator 214 generates the sliding setpoint 215 based on a hybrid model including both data-based factors of presently-measured characteristics of the plant 230 and physics-based data using historical data 218. In embodiments of the invention, the sliding setpoint generator 214 predicts a transient in the drum boiler 231 based on one or more of the plant characteristics 217, historical data 218, and the closed loop model 220, and generates the sliding setpoint 221 to compensate for the transient. For example, one or more of the plant characteristics 217, historical data 218, and the closed loop model 220 may indicate that a water level increase is expected in the steam drum of the drum boiler 231, and the sliding setpoint 221 may be generated based on the predicted water level increase.
One or both of the plant characteristics 217 and the historical data 218 is provided to a transfer function 219. The transfer function 219 may include a computer program stored in memory and executed by a processor to receive one or both of the plant characteristics 217 and historical data 218 and generate a sliding setpoint 215, or a setpoint that changes according to conditions of the plant 230, such as the steam flow, drum pressure, bypass valve position, and gas turbine load. In one embodiment, the sliding setpoint 215 is further based on a closed-loop drum boiler model 220, which generates curve values for the transfer function 219. In one embodiment, the transfer function 219 is configured to take into account the effects of shrinking and swelling of a steam drum of the boiler 231 to calculate the sliding setpoint 221.
Embodiments of the invention further include switch over logic 222. The switch over logic 222 analyzes plant characteristics 230 and determines whether to transmit the first setpoint 213 or the sliding setpoint 215 to the level control valve controller 233 to control the level control valve 232. In one embodiment, the switch over logic 222 analyzes one or both of the steam flow and drum pressure to determine whether to output the first setpoint 213 or the sliding setpoint 215. In particular, over time as the system 230 degrades, the setpoint model 212 increasingly diverges from the actual system 230. Accordingly, the sliding setpoint 215 based on one or both of the plant characteristics 217 and historical data 218 becomes a more appropriate model for controlling the level control valve 232. As the system 230 degrades, controlling the level control valve 232 based on the setpoint model 212 may be less likely to result in a desired setpoint of the water/steam mixture in the boiler 231, and controlling the level control valve 232 based on the sliding setpoint generator 214 may be more likely to result in a desired setpoint of the water/steam mixture in the boiler 231.
In one embodiment, the switch over logic 222 includes a transfer function that receives as inputs the measured steam flow and drum pressure and calculates a desired setpoint level. The switch over logic 222 may then compare the calculated desired setpoint level to the first setpoint 213 and the sliding setpoint 215 to determine which is closest to the desired setpoint, and may transmit the closer of the first setpoint 213 and the sliding setpoint 215 to the level control valve controller 233. In one embodiment, the switch over logic includes “self-learning” logic, or self-adapting logic, which analyzes the measured steam flow and drum pressure, analyzes the changes in measured steam flow and drum pressure over time based on the applied first setpoint or sliding setpoint, and adjusts the transfer function used to select between the first setpoint and the sliding setpoint based on the detected changes in the measured steam flow and drum pressure over time.
In yet another embodiment, the switch over logic 222 includes a transfer function that combines the first setpoint 213 and the sliding setpoint 215 based on predetermined criteria, such as a predetermined weight, a weight determined by a degradation level of the plant, or any other criteria, to generate the drum level setpoint 223. In such an embodiment, the transfer function of the switch over logic 222 combines both a physics-based model and a data-based model to generate the drum level setpoint 223.
In block 301, a first set of characteristics of a of a drum boiler are measured, such as a drum pressure, drum level (or water level in the drum), and exhaust temperature. The first set of characteristics is provided in block 302 to a model-based initial state estimator to calculate initial states and parameters of the drum boiler. In block 303, the initial states and parameters are provided to a first setpoint model, as well as a second set of characteristics of the drum boiler, such as a steam flow, feedwater temperature, gas fuel flow and gas fuel temperature, to generate a first setpoint of a water level in the drum boiler. In one embodiment, the first setpoint model is a physics-based model. In block 304, the water level in the drum boiler is controlled according to the first setpoint.
In block 305, the first setpoint is updated over time based on the second set of characteristics. In addition, a sliding setpoint is generated based on additional characteristics, such as a steam flow, drum pressure, bypass valve position, and gas turbine load. The sliding setpoint is adjusted over time based on the additional characteristics. In embodiments of the invention, the first setpoint is updated, and the sliding setpoint is adjusted, by predicting transients in a steam drum of the drum boiler and updating and adjusting the setpoints based on the predicted transients.
In block 306, the steam flow from the steam drum and feedwater flow to the steam drum are measured and analyzed. The steam flow and feedwater temperature are used to calculate a desired setpoint. The desired setpoint is compared to the first setpoint and the sliding setpoint to generate a drum level setpoint that controls a drum level control valve. In one embodiment, one of the first setpoint (block 307) and sliding setpoint (308) is selected to control the drum level control valve. In another embodiment, the first setpoint and sliding setpoint are combined in a transfer function to generate the drum level setpoint.
According to embodiments of the invention, the water level in a steam drum is controlled by generating a setpoint based on one or both of a data-based model of the steam drum or a physics-based model of the steam drum. In some embodiments, the physics-based model takes into account steam distribution in risers and the steam drum, steam volume dynamics resulting in swell and shrink phenomena of the steam drum, and temperature distribution inside the steam drum.
Technical effects of embodiments of the invention include reducing heat recovery steam generator plant trips caused by water/steam levels in a steam drum that are outside predetermined thresholds and improving modeling and responsiveness of the steam drum.
While the invention has been described in detail in connection with only a limited number of embodiments, it should be readily understood that the invention is not limited to such disclosed embodiments. Rather, the invention can be modified to incorporate any number of variations, alterations, substitutions or equivalent arrangements not heretofore described, but which are commensurate with the spirit and scope of the invention. Additionally, while various embodiments of the invention have been described, it is to be understood that aspects of the invention may include only some of the described embodiments. Accordingly, the invention is not to be seen as limited by the foregoing description, but is only limited by the scope of the appended claims.
