A combined circulation system

By monitoring and optimizing the operating status of heaters in a combined cycle system in real time, and using data construction and load prediction modules to generate optimal control parameters, the problems of high energy consumption and unstable thermal efficiency in traditional systems are solved, achieving energy reduction and thermal efficiency improvement.

CN224515245UActive Publication Date: 2026-07-17BEIJING JINGNENG GAOANTUN GAS THERMAL POWER CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
BEIJING JINGNENG GAOANTUN GAS THERMAL POWER CO LTD
Filing Date
2025-08-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Traditional gas-steam combined cycle systems have high energy consumption and low energy utilization. Furthermore, the operation of the heaters is difficult to control precisely, resulting in energy waste and large fluctuations in thermal efficiency. Traditional methods cannot respond quickly or optimize accurately.

Method used

Design a combined cycle system that uses sensors to monitor the parameters of the gas turbine, waste heat boiler, and heater in real time. The controller controls the operating status of the heater based on the data. Combined with data construction module, load prediction module, energy consumption simulation module, and parameter optimization module, the optimal control parameter set is generated to achieve rapid response and optimization of the heater.

Benefits of technology

By reducing energy consumption and improving thermal efficiency, the heater can respond quickly according to actual working conditions, reducing energy waste and improving thermal efficiency stability.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

This disclosure provides a combined cycle system, including a gas turbine, a waste heat boiler, a heater located within the waste heat boiler, heating pipes mainly located within the heater, a main circulation pipe connected in series with a condenser, a steam turbine, a loop pipe, sensors, and a controller. The sensors are electrically connected to the controller and are used to collect exhaust parameters from the gas turbine, steam parameters from the waste heat boiler, and operating parameters from the heater, and send these data to the controller. The controller is electrically connected to the heater and controls the operating state of the heater based on the data sent by the sensors. The combined cycle system of this disclosure can reduce energy consumption, improve thermal efficiency, and the heater can respond quickly according to actual operating conditions.
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Description

Technical Field

[0001] The embodiments disclosed herein belong to the field of energy consumption optimization technology, specifically relating to a combined cycle system. Background Technology

[0002] In traditional gas-steam combined cycle systems, energy consumption is high, energy utilization is low, and the operating status of the heaters is difficult to control precisely, leading to energy waste and large fluctuations in thermal efficiency. Traditional heater energy consumption optimization methods mostly rely on manual adjustments, which cannot achieve rapid response and accurate optimization under multiple operating conditions. Utility Model Content

[0003] The embodiments disclosed herein are intended to at least address one of the technical problems existing in the prior art, and to provide a combined circulation system.

[0004] Embodiments of this disclosure provide a combined cycle system, the combined cycle system including a gas turbine, a waste heat boiler, a heater located in the waste heat boiler, a heating pipe mainly located in the heater, a main circulation pipe connected in series with a condenser, a steam turbine, a loop pipe, sensors, and a controller;

[0005] The gas inlet and gas outlet of the heater are respectively connected to the exhaust port of the gas turbine and the outlet of the waste heat boiler; the inlet and outlet of the main circulation pipe are respectively connected to the main steam outlet of the steam turbine and the inlet of the heating pipe; the inlet and outlet of the loop pipe are respectively connected to the outlet of the heating pipe and the inlet of the steam turbine.

[0006] The sensor is electrically connected to the controller. The sensor is used to collect the exhaust parameters of the gas turbine, the steam parameters of the waste heat boiler, and the operating parameters of the heater and send them to the controller. The controller is electrically connected to the heater and controls the operating status of the heater according to the data sent by the sensor.

[0007] Optionally, the combined circulation system further includes a feedwater regenerator, a first connecting pipe, and a second connecting pipe;

[0008] The feedwater regenerator is connected in series with the main circulation pipeline and is located between the condenser and the outlet of the main circulation pipeline; the inlet and outlet of the first connecting pipeline are respectively connected to the steam turbine and the feedwater regenerator, and the inlet and outlet of the second connecting pipeline are respectively connected to the feedwater regenerator and the condenser.

[0009] Optionally, the combined cycle system further includes a combustion chamber and a compressor;

[0010] The inlet of the combustion chamber is connected to the outlet pipe of the air compressor, and the outlet of the combustion chamber is connected to the inlet of the gas turbine.

[0011] Optionally, the gas turbine and the steam turbine are arranged coaxially or off-axis.

[0012] Optionally, controlling the operating state of the heater based on the data sent by the sensor includes controlling the fuel flow rate of the heater and the feed water temperature in the heating pipe.

[0013] Optionally, the controller includes:

[0014] The data construction module constructs a dynamic energy consumption dataset by receiving exhaust parameters from the gas turbine, steam parameters from the waste heat boiler, and operating parameters from the heater.

[0015] The load forecasting module trains a load forecasting model based on historical load curves and historical meteorological data, and outputs the predicted load distribution for a preset future period.

[0016] The energy consumption simulation module performs multi-condition energy consumption simulation of the heater based on the dynamic energy consumption dataset and the predicted load distribution, and generates an energy consumption characteristic topology map and a thermal efficiency fluctuation characteristic map.

[0017] The parameter optimization module, based on the energy consumption characteristic topology map and the thermal efficiency fluctuation characteristic map, aims to minimize the overall energy consumption and uses a clustering grouping iterative algorithm to optimize the heater control parameters and generate the optimal control parameter set.

[0018] The heater control module adjusts the heater's operating status in real time based on the optimal control parameter set.

[0019] Optionally, the data construction module includes:

[0020] The original parameter set construction subunit is used to construct the original parameter set based on the exhaust parameters of the gas turbine, the steam parameters of the waste heat boiler, and the operating parameters of the heater.

[0021] A derivative energy consumption parameter set construction subunit is used to calculate the feedwater temperature rise, heater thermal efficiency, and comprehensive coal consumption rate based on the original parameter set, and to construct the derivative energy consumption parameter set.

[0022] The storage subunit is used to store the original parameter set and the derived energy consumption parameter set as a dynamic energy consumption dataset in a timestamp sequence.

[0023] Optionally, the load forecasting module includes:

[0024] The sample training set construction sub-unit is used to obtain historical load curves and historical meteorological data to construct the sample training set;

[0025] A Long Short-Term Memory (LSTM) network construction subunit is used to construct a LSM network, wherein the input layer of the LSM network receives a sample training set and the output layer generates a predicted load distribution;

[0026] The load forecasting model construction subunit is used to train the long short-term memory network by minimizing the prediction error function to construct the load forecasting model.

[0027] The combined cycle system of the embodiments of this disclosure can reduce energy consumption, improve thermal efficiency, and the heater can respond quickly according to actual operating conditions. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of a combined circulation system according to an embodiment of the present disclosure. Detailed Implementation

[0029] To enable those skilled in the art to better understand the technical solutions of this disclosure, the disclosure will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0030] like Figure 1 As shown, a combined cycle system 100 includes a gas turbine 110, a waste heat boiler 120, a heater 121 located within the waste heat boiler 120, a heating pipe 1211 mainly located within the heater 121, a main circulation pipe 130 connected in series with a condenser 131, a steam turbine 140, a loop pipe 150, and sensors and controllers (not shown).

[0031] The gas inlet and gas outlet of the heater 121 are respectively connected to the exhaust port of the gas turbine 110 and the outlet of the waste heat boiler 120. The inlet and outlet of the main circulation pipe 130 are respectively connected to the main steam outlet of the steam turbine 140 and the inlet of the heating pipe 1211, and the inlet and outlet of the loop pipe 150 are respectively connected to the outlet of the heating pipe 1211 and the inlet of the steam turbine 140.

[0032] The sensor is electrically connected to the controller. The sensor is used to collect the exhaust parameters of the gas turbine 110, the steam parameters of the waste heat boiler 120, and the operating parameters of the heater 121, and send them to the controller. The controller is electrically connected to the heater 121 and controls the operating status of the heater 121 based on the data sent by the sensor.

[0033] Specifically, such as Figure 1As shown, the gas turbine 110 generates high-temperature exhaust gas during operation, which contains a large amount of heat energy. The exhaust port of the gas turbine 110 is connected to the gas inlet of the heater 121, and the gas outlet of the heater 121 is connected to the outlet of the waste heat boiler 120 for steam discharge. The heater 121 transfers the heat from the exhaust gas of the gas turbine 110 to the main circulating feedwater in the heating pipe 1211, and then returns it to the steam turbine 140 through the loop pipe 150. By effectively utilizing the exhaust temperature of the gas turbine 110 to heat the main circulating feedwater and circulate it back to the steam turbine, energy consumption can be effectively reduced and thermal efficiency improved.

[0034] Sensors are installed on the exhaust pipe 111 between the gas turbine 110 and the heater 121, the steam outlet of the waste heat boiler 120, and the heater 121. These sensors can be of various types, such as temperature, pressure, and flow rate sensors, including exhaust flow meters, temperature sensors, water pump flow meters, and fuel regulating valve flow meters, to meet different measurement needs. These sensors can monitor parameters such as the temperature and flow rate of the gas turbine 110 exhaust, the steam pressure of the waste heat boiler 120, and the inlet and outlet feedwater temperatures of the heater 121 in real time. The sensors transmit the monitored parameters to a controller, which then controls the operating status of the heater 121. For example, the controller can control the fuel flow rate of the heater 121 and the feedwater temperature within the heating pipe 1211. Through the installed sensors and controller, the heater can respond quickly to actual operating conditions, thereby maintaining a suitable operating state to reduce energy consumption and improve thermal efficiency.

[0035] For example, such as Figure 1 As shown, the combined cycle system 100 further includes a feedwater regenerator 160, a first connecting pipe 161, and a second connecting pipe 162. The feedwater regenerator 160 is connected in series with the main circulation pipe 130 and is located between the condenser 131 and the outlet of the main circulation pipe 130. The inlet and outlet of the first connecting pipe 161 are respectively connected to the steam turbine 140 and the feedwater regenerator 160, and the inlet and outlet of the second connecting pipe 162 are respectively connected to the feedwater regenerator 160 and the condenser 131. Through the feedwater regenerator 160, the first connecting pipe 161, and the second connecting pipe 162, the main circulation feedwater in the main circulation pipe 130 can be preheated and then returned to the condenser 131 after heat exchange to continue replenishing the main circulation feedwater, thereby reducing energy consumption.

[0036] Furthermore, the combined cycle system 100 also includes a combustion chamber 170 and a compressor 180. The inlet of the combustion chamber 170 is connected to the outlet pipe of the compressor 180, and the outlet of the combustion chamber 170 is connected to the inlet of the gas turbine 110.

[0037] Furthermore, the gas turbine 110 and the steam turbine 140 are arranged coaxially or off-axis.

[0038] For example, the controller includes a data construction module, a load prediction module, an energy consumption simulation module, a parameter optimization module, and a heater control module. Specifically, the data construction module constructs a dynamic energy consumption dataset using the received exhaust parameters of the gas turbine 110, steam parameters of the waste heat boiler 120, and operating parameters of the heater 121. The process is as follows: The data construction module includes an original parameter set construction subunit, which is used to construct an original parameter set based on the exhaust parameters of the gas turbine 110, the steam parameters of the waste heat boiler 120, and the operating parameters of the heater 121. A derived energy consumption parameter set construction subunit is used to calculate the feedwater temperature rise, heater thermal efficiency, and comprehensive coal consumption rate based on the original parameter set to construct a derived energy consumption parameter set. A storage subunit is used to store the original parameter set and the derived energy consumption parameter set as a dynamic energy consumption dataset in a timestamp sequence.

[0039] Preferably, the exhaust parameters of the gas turbine 110, the steam parameters of the waste heat boiler 120, and the operating parameters of the heater 121 are first collected in real time via a sensor network. The exhaust parameters of the gas turbine 110 include, but are not limited to, the exhaust temperature and exhaust volume of the gas turbine 110; the steam parameters of the waste heat boiler 120 include, but are not limited to, the steam temperature of the waste heat boiler 120; and the operating parameters of the heater 121 include, but are not limited to, the inlet feedwater temperature and the outlet feedwater temperature. In addition, the power generation of the gas turbine 110 is also collected. By summarizing these collected data, a raw parameter set can be generated. Subsequently, based on the raw parameter set, various energy consumption parameters are calculated. Specifically, the feedwater temperature rise, i.e., the change in water temperature entering the heater 121, is calculated by subtracting the inlet feedwater temperature from the outlet feedwater temperature of the heater 121. The thermal efficiency of the heater 121 is obtained by multiplying the feedwater flow rate of the heater 121 by the feedwater specific heat capacity (a preset constant) and the feedwater temperature rise, and then dividing the product by the product of the fuel flow rate and the fuel calorific value (a preset constant) of the heater 121. The comprehensive coal consumption rate is obtained by multiplying the coal consumption conversion coefficient by the ratio of fuel flow rate to power generation of heater 121. Then, the calculated feedwater temperature rise, heater thermal efficiency, and comprehensive coal consumption rate are added to a set to form a derived energy consumption parameter set. The original parameter set and the derived energy consumption parameter set are then stored synchronously by timestamp. This ensures that each data point includes both original parameters (such as exhaust temperature and steam flow rate) and derived energy consumption parameters (such as feedwater temperature rise, thermal efficiency, and coal consumption rate), guaranteeing data consistency and real-time performance, and providing reliable data support for subsequent energy efficiency analysis and optimization. Ultimately, these time-series stored original and derived data form a dynamic energy consumption dataset. This dynamic energy consumption dataset is continuously updated and reflects the energy consumption trend of the heater under different operating conditions, providing data basis for subsequent control optimization and predictive analysis.

[0040] The load forecasting module trains a load forecasting model based on historical load curves and historical meteorological data, and outputs a predicted load distribution for a preset future period. The load forecasting module includes a sample training set construction subunit, used to acquire historical load curves and historical meteorological data to construct a sample training set; a Long Short-Term Memory (LSTM) network construction subunit, used to construct an LSM network, wherein the input layer of the LSM network receives the sample training set, and the output layer generates the predicted load distribution; and a load forecasting model construction subunit, used to train the LSM network by minimizing the prediction error function to construct a load forecasting model.

[0041] The energy consumption simulation module performs multi-condition energy consumption simulation of the heater based on the dynamic energy consumption dataset and the predicted load distribution, generating an energy consumption feature topology map and a thermal efficiency fluctuation feature map. The parameter optimization module, based on the energy consumption feature topology map and the thermal efficiency fluctuation feature map, optimizes the heater control parameters using a clustering grouping iterative algorithm with the goal of minimizing overall energy consumption, generating an optimal control parameter set. The heater control module regulates the heater's operating state in real time according to the optimal control parameter set. It should be noted that the functions implemented by the modules included in the controller are existing technologies. The embodiments disclosed herein are described in detail to clearly illustrate their working process and facilitate understanding.

[0042] It is understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of this disclosure, and this disclosure is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of this disclosure, and these modifications and improvements are also considered to be within the scope of protection of this disclosure.

Claims

1. A combined cycle system, characterized by, The combined cycle system includes a gas turbine, a waste heat boiler, a heater located in the waste heat boiler, a heating pipe mainly located in the heater, a main circulation pipe connected in series with a condenser, a steam turbine, a loop pipe, sensors, and a controller. The gas inlet and gas outlet of the heater are respectively connected to the exhaust port of the gas turbine and the outlet of the waste heat boiler; the inlet and outlet of the main circulation pipe are respectively connected to the main steam outlet of the steam turbine and the inlet of the heating pipe; the inlet and outlet of the loop pipe are respectively connected to the outlet of the heating pipe and the inlet of the steam turbine. The sensor is electrically connected to the controller. The sensor is used to collect the exhaust parameters of the gas turbine, the steam parameters of the waste heat boiler, and the operating parameters of the heater and send them to the controller. The controller is electrically connected to the heater and controls the operating status of the heater according to the data sent by the sensor.

2. The combined cycle system of claim 1, wherein, The combined circulation system also includes a feedwater regenerator, a first connecting pipe, and a second connecting pipe; The feedwater regenerator is connected in series with the main circulation pipeline and is located between the condenser and the outlet of the main circulation pipeline; the inlet and outlet of the first connecting pipeline are respectively connected to the steam turbine and the feedwater regenerator, and the inlet and outlet of the second connecting pipeline are respectively connected to the feedwater regenerator and the condenser.

3. The combined cycle system of claim 2, wherein, The combined cycle system also includes a combustion chamber and a compressor; The inlet of the combustion chamber is connected to the outlet pipe of the air compressor, and the outlet of the combustion chamber is connected to the inlet of the gas turbine.

4. The combined cycle system of claim 1, wherein, The gas turbine and the steam turbine are arranged on the same or opposite axes.

5. The combined cycle system according to any one of claims 1 to 4, characterized in that, The step of controlling the operating status of the heater based on the data sent by the sensor includes controlling the fuel flow rate of the heater and the water temperature in the heating pipe.