Hydrogen energy physicochemical co-production power generation system

Abstract

The invention relates to the technical field of hydrogen storage power generation, and provides a hydrogen energy physicochemical co-production power generation system which comprises a hydrogen storage device, a high-pressure control valve, a turbine power generation device and a fuel cell device. The hydrogen storage device is connected with the turbine power generation device through a first pipeline, and the high-pressure control valve is arranged on the first pipeline; the turbine power generation device is connected with the fuel cell device through a second pipeline. According to the technical scheme, the high-pressure control valve is arranged between the hydrogen storage device and the turbine power generation device, the pressure of the hydrogen entering the turbine power generation device is controlled, kinetic energy of hydrogen flowing is utilized to push the turbine power generation device to carry out first-stage power generation, then the hydrogen enters the fuel cell device, and second-stage power generation is achieved. Therefore, kinetic energy of the high-pressure stored hydrogen is fully utilized, the situation that the kinetic energy of the high-pressure hydrogen cannot be utilized due to the fact that hydrogen combustion power generation is directly utilized is avoided, and then the power generation efficiency of the high-pressure hydrogen is improved.

Description

Technical Field

[0001] The present application relates to the technical field of hydrogen storage and power generation, and in particular to a hydrogen energy physical and chemical cogeneration power generation system. Background Art

[0002] Traditional hydrogen storage and power generation systems directly pass hydrogen into fuel cells, so that hydrogen and air are directly converted into electrical energy through electrochemical reactions. When storing hydrogen at high pressure, the pressure of the hydrogen needs to be reduced first to ensure that the hydrogen maintains an appropriate pressure when entering the fuel cell. This method results in the high-pressure energy of the hydrogen not being utilized, which in turn reduces the power generation efficiency of the high-pressure hydrogen. Summary of the invention

[0003] The present application provides a hydrogen energy physical and chemical cogeneration power generation system to improve the power generation efficiency of high-pressure hydrogen.

[0004] The present application provides a hydrogen energy physical and chemical cogeneration power generation system, comprising: a hydrogen storage device, a high-pressure control valve, a turbine power generation device and a fuel cell device;

[0005] The hydrogen storage device is used to store high-pressure hydrogen and is connected to the turbine generator device through a first pipeline. The high-pressure control valve is arranged on the first pipeline to adjust the pressure when the hydrogen drives the turbine generator device to work;

[0006] The turbine power generation device is connected to the fuel cell device via a second pipeline.

[0007] In a possible implementation, the high-pressure control valve includes a valve and a control device for controlling the opening and closing of the valve;

[0008] The control device comprises a control motor, a clutch and a control gear, wherein the motor gear connected to the control motor meshes with the driving gear of the clutch, the driven gear of the clutch meshes with the control gear, and the rotating shaft of the control gear is connected to the valve;

[0009] When the control motor drives the control gear to move, the opening of the valve is controlled.

[0010] In a possible implementation, the high-pressure control valve further includes: a reduction transmission device and a kinetic energy storage device;

[0011] The reduction transmission device is connected between the control gear and the kinetic energy storage device, and when the control motor controls the valve to open, kinetic energy is stored in the kinetic energy storage device;

[0012] When the control constraint between the control motor and the control gear is released, the kinetic energy stored in the kinetic energy storage device is released to drive the control gear to move through the reduction transmission device, thereby controlling the valve to close.

[0013] In a possible implementation, the control device further includes an encoder, and an encoder gear connected to the encoder;

[0014] The encoder gear meshes with the control gear to record the opening of the valve when the control gear rotates.

[0015] In a possible implementation, it further includes an oxidant supply device, which is connected to the fuel cell device via a third pipeline and is used to supply the oxidant to the fuel cell device.

[0016] In a possible implementation, the device further includes: a controller, the controller is electrically connected to the high-pressure control valve, and the controller is configured to:

[0017] obtaining the load of the turbine power generation device and the gas pressure in the hydrogen storage device;

[0018] Obtain the temperature, humidity and oxygen content of the combustion aid in real time;

[0019] quantifying the temperature of the combustion aid, the load of the turbine power generation device and the gas pressure in the hydrogen storage device at the same time according to a preset ratio;

[0020] Generate a control sample according to the quantified temperature of the combustion aid, the load of the turbine power generation device, the gas pressure in the hydrogen storage device, and the temperature, humidity and oxygen content of the combustion aid;

[0021] Inputting the control sample and multiple groups of dynamic control quantities into a pre-established dynamic control model to obtain power generation parameters corresponding to the multiple groups of dynamic control quantities, wherein one group of dynamic control quantities includes a first control quantity of a high-pressure control valve and a second control quantity of an oxidant supply device;

[0022] Based on a preset control strategy, a first control quantity of the high-pressure control valve and a second control quantity of the combustion-supporting agent supply device are determined according to power generation parameters corresponding to the multiple groups of dynamic control quantities.

[0023] In a possible implementation, the dynamic control model is generated based on neural network model training and is established according to the following steps:

[0024] Obtaining N groups of independent temperature, humidity and oxygen content of the combustion-supporting agent at the same time, as well as the load of the turbine power generation device and the gas pressure in the hydrogen storage device, as well as the first control amount of the high-pressure control valve and the second control amount of the combustion-supporting agent supply device;

[0025] Using N groups of independent combustion-supporting agent temperature, humidity, oxygen content, load of the turbine power generation device and gas pressure in the hydrogen storage device at the same time, as well as the first control amount of the high-pressure control valve and the second control amount of the combustion-supporting agent supply device as inputs of N groups of training samples;

[0026] Acquire power generation parameters of the hydrogen energy physical-chemical cogeneration power generation system at the same time, and use the power generation parameters as outputs corresponding to N groups of training samples;

[0027] Using the input and output of training samples, the neural network model is trained using the time back propagation method;

[0028] The weight parameters, bias parameters and learning factors of the neural network model are continuously updated through the iterative training process;

[0029] If the predicted value and the detected value of the neural network model reach the set error range, or the neural network model reaches the set maximum number of iterations, the training ends and the last updated weight parameter, bias parameter and learning factor are saved as the obtained dynamic control model.

[0030] In a possible implementation, the dynamic control model may also be a dynamic control table, and the dynamic control model is established according to the following steps:

[0031] Obtaining N groups of independent temperature, humidity and oxygen content of the combustion-supporting agent at the same time, as well as the load of the turbine power generation device and the gas pressure in the hydrogen storage device, as well as the first control amount of the high-pressure control valve and the second control amount of the combustion-supporting agent supply device;

[0032] Obtaining power generation parameters of the hydrogen energy physical-chemical cogeneration power generation system at the same time;

[0033] The temperature, humidity and oxygen content of the combustion aid of N independent groups at the same time, the load of the turbine generator and the gas pressure in the hydrogen storage device, the first control quantity of the high-pressure control valve and the second control quantity of the combustion aid supply device, and the power generation parameters of the hydrogen energy physical and chemical cogeneration power generation system are statistically analyzed to establish a dynamic control table.

[0034] In a possible implementation, the combustion-supporting agent supply device is provided with an air filter.

[0035] In a possible implementation, a safety detection device is also provided.

[0036] The hydrogen energy physical and chemical cogeneration power generation system provided in the embodiment of the present application controls the pressure of hydrogen entering the turbine power generation device by setting a high-pressure control valve between the hydrogen storage device and the turbine power generation device, and uses the kinetic energy of the hydrogen flow to drive the turbine power generation device to perform the first stage of power generation, and then the hydrogen enters the fuel cell device to achieve the second stage of power generation. In this way, the kinetic energy of the high-pressure stored hydrogen is fully utilized, avoiding the method of directly using hydrogen combustion to generate electricity, resulting in the kinetic energy of the high-pressure hydrogen not being utilized, thereby improving the power generation efficiency of the high-pressure hydrogen. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solution of the present application, the drawings required for use in the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0038] Figure 1 A schematic diagram of the overall structure of the hydrogen energy physical and chemical cogeneration power generation system provided in the embodiment of the present application;

[0039] Figure 2 A schematic diagram of the structure of the high pressure control valve provided in the embodiment of the present application Figure 1 ;

[0040] Figure 3 A schematic diagram of the structure of the high pressure control valve provided in the embodiment of the present application Figure 2 ;

[0041] Figure 4 A schematic diagram of the structure of the high pressure control valve provided in the embodiment of the present application Figure 3 ;

[0042] Figure 5 A schematic diagram of the structure of the high pressure control valve provided in the embodiment of the present application Figure 4 ;

[0043] Figure 6 A schematic diagram of a flow chart executed by a controller according to an embodiment of the present application;

[0044] Figure 7 A flow chart for generating a dynamic control model provided in an embodiment of the present application;

[0045] Figure 8 Another flowchart for generating a dynamic prediction model provided in an embodiment of the present application.

[0046] In the figure:

[0047] 1-hydrogen storage device, 2-high pressure control valve, 21-valve, 22-control device, 221-motor, 222-clutch, 2221-driving gear, 2222-driven gear, 223-control gear, 224-motor gear, 225-reduction transmission device, 226-kinetic energy storage device, 227-encoder, 228-encoder gear, 3-turbine power generation device, 4-fuel cell device, 5-combustibility aid supply device, 6-safety detection device, 100-first pipeline, 200-second pipeline, 300-third pipeline. DETAILED DESCRIPTION

[0048] The present application embodiment provides a hydrogen energy physical and chemical cogeneration power generation system, such as Figure 1 As shown, it comprises: a hydrogen storage device 1, a high-pressure control valve 2, a turbine power generation device 3 and a fuel cell device 4. The hydrogen storage device 1 is used to store high-pressure hydrogen.

[0049] In the hydrogen storage device 1 provided in the embodiment of the present application, hydrogen is stored in a high-pressure gaseous state. High-pressure gaseous storage is to increase the density of hydrogen per unit volume by compressing hydrogen to a higher pressure, and the pressure is usually between 350 and 700 bar. This storage method is simple and relatively low in cost. The hydrogen storage device 1 is connected to the turbine generator 3 through a first pipeline 100, and the high-pressure control valve 2 is arranged on the first pipeline 100. In actual application, the opening of the high-pressure control valve 2 can be adjusted to adjust the hydrogen flow rate of the first pipeline 100, thereby realizing the driving force adjustment function of the hydrogen to drive the turbine generator 3 to work. It should be noted that the hydrogen flow rate represents the flow rate of hydrogen per unit time.

[0050] The turbine generator device 3 is connected to the fuel cell device 4 via the second pipeline 200 , so that the hydrogen generated by the turbine generator device 3 after operation is pushed into the fuel cell device 4 to provide the fuel cell device 4 with power generation.

[0051] Among them, hydrogen is both a carrier that drives the turbine of the turbine generator device 3 and a reaction fuel of the fuel cell device 4. The hydrogen input to the turbine generator device 3 and the fuel cell device 4 needs to be controlled according to the actual situation. The transported hydrogen is first reduced to a suitable pressure through the high-pressure control valve 2, and then drives the turbine of the turbine generator device 3 to rotate, driving the turbine generator device 3 to generate electricity; the fuel cell device 4 uses hydrogen and oxygen to generate electrochemical reactions in the fuel cell, and generates electricity and heat energy at the same time. Since the water content in the stack of the fuel cell device 4 affects the ion conductivity, in order to keep the membrane assembly moist, the hydrogen needs to pass through a humidifier to enter the fuel cell, and some of the hydrogen that does not participate in the reaction is discharged from the hydrogen outlet, which can be used again through the hydrogen circulation pump.

[0052] The turbine generator 3 utilizes the energy difference between high-pressure hydrogen and low-pressure hydrogen to drive the turbine to rotate, thereby converting the pressure of hydrogen into mechanical energy to drive the generator to generate electrical energy. The turbine generator 3 and the fuel cell device 4 are combined to perform multi-stage power generation. In this way, the overall efficiency can be improved, the consumption of hydrogen can be saved, and clean, efficient and flexible power generation can be achieved.

[0053] The hydrogen energy physical and chemical cogeneration power generation system provided in the embodiment of the present application controls the pressure of hydrogen entering the turbine power generation device 3 by setting a high-pressure control valve 2 between the hydrogen storage device 1 and the turbine power generation device 3, and uses the kinetic energy of the hydrogen flow to drive the turbine power generation device 3 to perform the first stage of power generation, and then the hydrogen enters the fuel cell device 4 to achieve the second stage of power generation. In this way, the kinetic energy of the high-pressure stored hydrogen is fully utilized, avoiding the method of directly using hydrogen combustion to generate electricity, resulting in the kinetic energy of the high-pressure hydrogen not being utilized, thereby improving the power generation efficiency of the high-pressure hydrogen.

[0054] like Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, the high-pressure control valve 2 provided in the embodiment of the present application includes a valve 21 and a control device 22 for controlling the opening and closing of the valve 21; wherein, the opening and closing of the valve includes an open state and a closed state, the open state refers to opening the hydrogen flow capacity of the first pipeline 100, and the closed state refers to closing the hydrogen flow capacity of the first pipeline 100.

[0055] Specifically, Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, the control device 22 includes a control motor 221, a clutch 222 and a control gear 223, wherein the clutch 222 includes a driving gear 2221 and a driven gear 2222. When the clutch 222 is in a first state, the rotating shaft of the driving gear 2221 and the rotating shaft of the driven gear 2222 are connected to each other, so that the driving gear 2221 can drive the driven gear 2222 to rotate. When the clutch 222 is in a second state, the rotating shaft of the driving gear 2221 and the rotating shaft of the driven gear 2222 are separated, and the driving gear 2221 cannot drive the driven gear 2222 to rotate.

[0056] like Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, the motor gear 224 connected to the control motor 221 meshes with the driving gear 2221 of the clutch 222 , the driven gear 2222 of the clutch 222 meshes with the control gear 223 , and the rotating shaft of the control gear 223 is connected to the valve 21 .

[0057] Thus, when the clutch 222 is in the first state, the control motor 221 drives the control gear 223 to move, thereby controlling the opening of the valve 21. When the opening is 0, the valve 1 is in a closed state.

[0058] The high-pressure control valve 2 provided in the embodiment of the present application is configured such that a clutch 222 and a control gear 223 are arranged between the control motor 221 and the valve 21, and the driving gear 2221 of the clutch 222 is meshed with the motor gear 224 of the control motor 221, and the driven gear 2222 of the clutch 222 is meshed with the control gear, thereby ensuring that the valve can achieve completely stable operation under high-pressure conditions in the high-pressure gas delivery pipeline.

[0059] In some embodiments, in order to ensure the safe operation of the high-pressure control valve, it is prevented that the control gear 223 of the control motor 221 cannot provide active force when the control motor 221 fails or the control circuit loses power, resulting in the valve 21 being unable to close urgently. Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, in some embodiments of the present application, the high-pressure control valve 2 further includes: a reduction transmission device 225 and a kinetic energy storage device 226 .

[0060] The reduction transmission device 225 is connected between the control gear 223 and the kinetic energy storage device 226 . When the control motor 221 controls the valve 21 to open, kinetic energy is stored in the kinetic energy storage device 226 .

[0061] When the control constraint between the control motor 221 and the control gear 223 is released, for example, due to a control or structural failure, the clutch 222 is in the second state under uncontrolled conditions. At this time, the control constraint relationship between the control motor 221 and the control gear 223 is forced to be released, so that the kinetic energy stored in the kinetic energy storage device 226 is released, and the control gear 223 can be driven to move through the reduction transmission device 225 to control the valve 21 to close. In this way, when the control motor 221 fails, the kinetic energy storage device 226 that stores kinetic energy in advance can be used to control the valve 21 to automatically close.

[0062] In some embodiments of the present application, the control motor 221 adopts a self-locking control motor. For example, after being started by pressing the start button (jog), the contactor coil is continuously energized, so that the coil maintains a contact path state. In other words, when the start button is pressed, the motor runs; when the start button is released, the motor is still in operation. As a result, the rotating shaft of the control motor 221 will not rotate in the opposite direction. In this way, the closing of the valve 1 is not controlled by the control motor 221, but by the clutch 222, the reduction transmission device 225 and the kinetic energy storage device 226. Specifically, by controlling the clutch 222 to disconnect the connection between the driving gear 2221 and the driven gear 2222, the kinetic energy stored in the energy storage device 226 is released, and the control gear 223 is driven to move through the reduction transmission device 225, so as to control the valve 1 to close.

[0063] Of course, the opening of the valve 1 can also be controlled by controlling the motor 221, the clutch 222, the reduction transmission device 225 and the kinetic energy storage device 226. For example, in the process of increasing the opening, the control gear 223 is driven to move by controlling the motor 221, thereby increasing the opening of the valve 1. For another example, in the process of decreasing the opening, the clutch 222 is controlled to disconnect the connection between the driving gear 2221 and the driven gear 2222, and the kinetic energy stored in the energy storage device 226 is released, and the control gear 223 is driven to move by the reduction transmission device 225, thereby controlling the opening of the valve 1 to decrease, and at a suitable position, the driving gear 2221 and the driven gear 2222 of the clutch 222 are controlled to mesh again, so that the control gear 223 of the control motor 221 is again established with a constraint relationship, so that the opening of the valve 1 is fixed.

[0064] The reduction transmission device 225 can be implemented by a gear set, and by setting an appropriate transmission ratio, it is ensured that the kinetic energy is stored in the kinetic energy storage device 226 using an appropriate torque, for example. Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, the reduction transmission device 225 includes a multi-stage gear set structure.

[0065] Of course, in actual application, the reduction transmission device can also be realized by a gear train transmission assembly, for example, by using a chain and a sprocket to realize the reduction transmission device. For another example, by using a pulley and a belt to realize the reduction transmission device.

[0066] In the embodiment of the present application, the kinetic energy storage device adopts an elastic structure that can store elastic potential energy. For example, the kinetic energy storage device 226 is a clockwork mechanism that can store elastic potential energy. For another example, the kinetic energy storage device 226 includes a traction rope and a spring arranged at the end of the traction rope. In this way, the traction rope pulls the spring to store elastic potential energy that can be converted into kinetic energy in the spring.

[0067] It should be noted that the kinetic energy storage device 226 of the present application is not limited to storing kinetic energy, but can also be other forms of mechanical energy, such as the elastic potential energy described above. The characteristic name is intended to characterize that the kinetic energy storage device 226 can output kinetic energy to the outside under specific conditions.

[0068] In order to accurately obtain the opening of the valve 21, wherein the opening of the valve 21 represents the hydrogen flow capacity of the first pipeline 100, such as Figure 2 , Figure 3 , Figure 4 and Figure 5 As shown, in some embodiments of the present application, the control device 22 further includes an encoder 227 and an encoder gear 228 connected to the encoder 227; wherein the encoder gear 228 meshes with the control gear 223. In this way, when the control gear 223 rotates, the opening of the valve 21 can be recorded by the encoder 227, so that the opening of the valve 21 can be accurately known.

[0069] The encoder 227 may use a sensor that can display measurement data. Specifically, the encoder 227 detects the rotation of the gear through the mechanical engagement of the encoder gear 228 with the gear, and converts the mechanical rotation into an electrical signal for easy reading and processing by electronic equipment, or display on a display.

[0070] The encoder 227 in the form of a sensor can be divided into two types: incremental and absolute. The incremental encoder provides relative position information, while the absolute encoder can provide a unique position value. Alternatively, the encoder 227 can use a mechanical structure to record the valve opening. For example, the encoder 227 includes an encoding disk, on which a pointer mark is provided, which cooperates with a scale fixed on the encoding disk to record the valve opening.

[0071] An embodiment of the present application provides a high-pressure control valve, which is arranged on a high-pressure gas delivery pipeline and includes: a valve 21 and a control device 22 that controls the opening and closing of the valve 21 .

[0072] The control device 22 includes a control motor 221, a clutch 222 and a control gear 223. The motor gear 224 connected to the control motor 221 engages with the driving gear 2221 of the clutch 222. The driven gear 2222 of the clutch 222 engages with the control gear 223. The rotating shaft of the control gear 223 is connected to the valve 21. When the control motor 221 drives the control gear 223 to move, the opening of the valve 21 is controlled.

[0073] By using the high-pressure control valve provided in the embodiment of the present application, a clutch 222 and a control gear 223 are arranged between the control motor 221 and the valve 21, and the driving gear 2221 of the clutch 222 is meshed with the motor gear 224 of the control motor 221, and the driven gear 2222 of the clutch 222 is meshed with the control gear, thereby ensuring that the valve can achieve completely stable operation under high-pressure conditions in the high-pressure gas delivery pipeline.

[0074] like Figure 1 As shown, in some embodiments of the present application, the hydrogen energy physical and chemical cogeneration power generation system also includes an combustion aid supply device 5, which is connected to the fuel cell device 4 through a third pipeline 300 and is used to supply combustion aid to the fuel cell device 4, wherein the combustion aid is air.

[0075] In some embodiments of the present application, the hydrogen energy physical and chemical cogeneration power generation system further includes: a controller connected to the high pressure control valve 2, such as Figure 6 As shown, the controller is configured to execute S610 to S660.

[0076] S610, obtaining the load of the turbine power generation device and the gas pressure in the hydrogen storage device.

[0077] The load is the power of the electrical appliance or energy storage device connected to the turbine generator 3, or the load is the driving force value when the turbine generator 3 works in a preset state. The air pressure in the hydrogen storage device 1 represents the hydrogen supply capacity of the hydrogen storage device 1. When the cross section of the first pipeline 100 is fixed, the air pressure in the hydrogen storage device 1 is greater, and the hydrogen supply capacity of the hydrogen storage device 1 is stronger.

[0078] S620, real-time acquisition of the temperature, humidity and oxygen content of the combustion aid.

[0079] S630, quantifying the temperature of the combustion aid, the load of the turbine generator device and the gas pressure in the hydrogen storage device at the same time according to a preset ratio.

[0080] Since the data volume and data type of the temperature of the combustion aid at the same time, the load of the turbine generator 3, and the gas pressure in the hydrogen storage device 1 are different, it is impossible to directly calculate these data volumes. Therefore, in the embodiment of the present application, the temperature of the combustion aid, the load of the turbine generator 3, and the flow rate of hydrogen supplied by the hydrogen storage device 1 at the same time need to be quantized to the same interval according to a certain contraction ratio, and the quantized same interval is the interval (0,1).

[0081] The ratio of the temperature of the combustion aid to the preset temperature is calculated, for example, the preset temperature is 50 degrees Celsius (to ensure that the preset temperature is fixed and greater than the room temperature under normal circumstances), the ratio of the load of the turbine generator 3 to the maximum load of the turbine generator 3 is calculated, and the ratio of the air pressure in the hydrogen storage device 1 to the maximum air pressure that the hydrogen storage device 1 can withstand is calculated. The same interval after quantification is the interval (0,1).

[0082] It should be noted that the oxygen content and humidity are percentage values. Through numerical simplification, the oxygen content and humidity are converted to the range (0,1).

[0083] S640, generating a control sample according to the quantified temperature of the combustion aid, the load of the turbine power generation device, the gas pressure in the hydrogen storage device, and the temperature, humidity and oxygen content of the combustion aid.

[0084] The control sample is a set of parameters integrated according to a certain rule. For example, the load of the turbine generator 3, the air pressure in the hydrogen storage device 1, and the oxygen content of the combustion aid, which are the larger influencing factors, are at the front of the set of parameters. The temperature and humidity of the combustion aid, which are the smaller influencing factors, are at the back of the set of parameters.

[0085] S650, input the control sample and multiple groups of dynamic control quantities into a pre-established dynamic control model to obtain power generation parameters corresponding to the multiple groups of dynamic control quantities, wherein one group of dynamic control quantities includes a first control quantity of a high-pressure control valve and a second control quantity of an oxidation-aiding agent supply device.

[0086] The control sample and multiple groups of dynamic control quantities can be input into the dynamic control model at one time, and the dynamic control model reads the data according to the preset rules, and sequentially generates the control sample and the power generation parameters corresponding to the group of dynamic control quantities. The control sample and multiple groups of dynamic control quantities can also be input into the dynamic control model in multiple times, that is, one group of dynamic control quantities and the control sample are input at one time.

[0087] Among them, the first control quantity represents the opening of the high-pressure control valve 2, that is, the ratio of the opening angle to the maximum opening angle, and the data value can be converted to (0,1). The second control quantity of the combustion-aiding agent supply device 7 is also the control quantity of the pipeline valve. For example, the above-mentioned high-pressure control valve 2 is set on the pipeline between the combustion-aiding agent supply device 7 and the turbine generator 3 to achieve the adjustment of the second control quantity. Since the combustion-aiding agent is generally air, and the combustion-aiding agent is not supplied at high pressure, in actual application, an automatic control valve under non-high-pressure conditions can also be used to control the pipeline flow capacity, thereby achieving the adjustment of the second control quantity of the combustion-aiding agent.

[0088] It should be noted that the high-pressure control valve 2 controls the hydrogen supply, and the second control amount of the combustion-aid supply device 7 controls the oxygen supply. According to the principle of chemical reaction, there is a certain relationship between the first control amount and the second control amount. The technicians can roughly determine the appropriate control amount based on experience. However, when the hydrogen energy physical and chemical cogeneration power generation system is required to find the highest efficiency, the technicians cannot accurately know the precise control amount based on experience, but can determine a certain range of control amounts.

[0089] S660, based on a preset control strategy and according to power generation parameters corresponding to a plurality of groups of dynamic control quantities, determine a first control quantity of the high-pressure control valve and a second control quantity of the combustion-supporting agent supply device.

[0090] Among them, the preset control strategy in the embodiment of the present application is to maximize the power generation efficiency of the turbine power generation device 3 and the fuel cell device 4, that is, to select a group of dynamic control quantities with the highest power generation efficiency.

[0091] In actual application, the factors that affect the power generation efficiency of the turbine generator 3 and the fuel cell device 4 include not only the temperature, humidity and oxygen content of the above-mentioned combustion aid, as well as the load of the turbine generator 3 and the flow rate of hydrogen supplied by the hydrogen storage device 1, but also other environmental factors. For example, the air pressure of the working environment, however, these other environmental factors have little effect on the operation of the system, and the parameters with greater influencing factors or easy to control are considered in this application. In this way, the amount of calculation of the system can be reduced under the premise of meeting certain accuracy requirements and technical requirements.

[0092] The first control amount of the high-pressure control valve 2 and the second control amount of the combustion-supporting agent supply device 5 obtained by the above method can improve the power generation efficiency of the turbine power generation device 3 and the fuel cell device 4 as much as possible.

[0093] In the embodiment of the present application, the dynamic control model is established by using multiple groups of known combustion aid temperatures, humidity and oxygen content, as well as the load of the turbine generator 3 and the flow rate of hydrogen supplied by the hydrogen storage device 1, the dynamic control amount and the corresponding power generation parameters of the hydrogen energy cogeneration power generation system.

[0094] In the embodiment of the present application, a method of using neural network model training is provided to generate a dynamic control model. The specific operation is to use multiple groups of known combustion-supporting agent temperature, humidity, oxygen content, load of turbine generator device 3, flow rate and dynamic control amount of hydrogen supplied by hydrogen storage device 1 as input of neural network model, and use the corresponding power generation parameters of hydrogen energy physical and chemical cogeneration power generation system as output of neural network model, train the neural network model, that is, adjust the weight matrix and bias item corresponding to the middle layer of neural network model, so as to establish the mapping relationship between combustion-supporting agent temperature, humidity, oxygen content, load of turbine generator device 3, flow rate and dynamic control amount of hydrogen supplied by hydrogen storage device 1, and power generation parameters of hydrogen energy physical and chemical cogeneration power generation system.

[0095] See also Figure 7 , which is a flowchart for generating a dynamic control model provided in an embodiment of the present application, and the specific generating steps include S710 to S760.

[0096] S710, obtaining N groups of independent temperature, humidity and oxygen content of the combustion aid at the same time, as well as the load of the turbine generator device and the gas pressure in the hydrogen storage device, as well as the first control quantity of the high-pressure control valve 2 and the second control quantity of the combustion aid supply device.

[0097] Among them, N groups of independent data on the temperature, humidity, oxygen content of the combustion aid, the load of the turbine generator 3 and the gas pressure in the hydrogen storage device 1 at the same time, as well as the first control quantity of the high-pressure control valve 2 and the second control quantity of the combustion aid supply device 5 are data of the same hydrogen energy cogeneration power generation system.

[0098] S720, taking N groups of independent data on the temperature, humidity, oxygen content of the combustion aid, the load of the turbine generator device and the gas pressure in the hydrogen storage device at the same time, as well as the first control quantity of the high-pressure control valve and the second control quantity of the combustion aid supply device, as inputs of N groups of training samples.

[0099] S730, obtaining power generation parameters of the hydrogen energy physical-chemical cogeneration power generation system at the same time, and using the power generation parameters as outputs corresponding to the N groups of training samples.

[0100] S740, using the input of the training samples and the output of the training samples, and adopting the time back propagation method to train the neural network model.

[0101] The neural network model is trained using the time back propagation method using the input and output of the training samples. The time back propagation method is an algorithm suitable for multi-layer neural networks. It guides the multi-layer neural network's response output to the input to reach a predetermined target range through repeated cycles of excitation propagation and weight update.

[0102] Step S750, continuously updating the weight parameters, bias parameters and learning factors of the neural network model through an iterative training process.

[0103] Step S760: If the predicted value and the detected value of the neural network model reach the set error range, or the neural network model reaches the set maximum number of iterations, the training ends and the last updated weight parameter, bias parameter and learning factor are saved as the obtained dynamic control model.

[0104] By continuously updating the weight parameters, bias parameters and learning factors of the neural network model, a mapping relationship between training samples and dynamic control quantities and power generation parameters is established in the neural network model until the power generation parameters obtained according to the mapping relationship meet the production needs.

[0105] The specific judgment method is to judge whether the power generation parameter prediction value and the power generation parameter detection value of the neural network model reach the set tolerance range, or to judge whether the neural network model reaches the set maximum number of iterations. If the power generation parameter prediction value and the power generation parameter detection value of the neural network model reach the set tolerance range, or the neural network model reaches the set maximum number of iterations, the training ends, and the last updated weight parameter, bias parameter and learning factor are saved to obtain a dynamic control model.

[0106] In the specific training process of the neural network model in the embodiment of the present application, the neural network model divides multiple groups of training samples into two parts, for example, including 3 / 4 groups of training data and 1 / 4 groups of test data, and uses the input of 3 / 4 groups of training samples and the output of training samples as training data of the neural network model, and continuously updates weight parameters, bias parameters and learning factors; and uses the input of 1 / 4 group of training samples and the output of training samples as tolerance test data of the neural network model.

[0107] See also Figure 8 , is another flow chart for generating a dynamic prediction model provided in an embodiment of the present application. The dynamic prediction model may also be a dynamic control table, and is established according to the following steps:

[0108] S810, obtaining N groups of independent temperature, humidity and oxygen content of the combustion aid at the same time, as well as the load of the turbine generator device and the gas pressure in the hydrogen storage device, as well as the first control quantity of the high-pressure control valve and the second control quantity of the combustion aid supply device.

[0109] Step S820, obtaining power generation parameters of the hydrogen energy physical-chemical cogeneration power generation system at the same time.

[0110] Step S830, statistically analyze the temperature, humidity and oxygen content of the combustion aid of N independent groups at the same time, as well as the load of the turbine generator and the air pressure in the hydrogen storage device, the first control quantity of the high-pressure control valve and the second control quantity of the combustion aid supply device, and the power generation parameters of the hydrogen energy cogeneration power generation system, and establish a dynamic control table.

[0111] Among them, the statistical analysis includes data preprocessing, which first quantifies the temperature of the combustion aid at the same time, the load of the turbine generator 3 and the air pressure in the hydrogen storage device 1 to the same interval according to a certain contraction ratio, and then takes out multiple groups of data on the temperature of the combustion aid, the load of the turbine generator 3 and the air pressure in the hydrogen storage device 1, as well as the humidity and oxygen content of the combustion aid and the dynamic control amount, and compares the power generation parameter detection values ​​corresponding to different groups. If the corresponding power generation parameter detection values ​​are also the same, only one group of data is retained, and the same data in other groups is removed. If the corresponding power generation parameter detection values ​​are different, but the deviation is within the allowable range, the average value of the power generation parameters corresponding to the multiple groups of data is used as the corresponding power generation parameter, and only one group of data is retained.

[0112] For multiple groups of independent combustion aid temperature, turbine generator 3 load and hydrogen storage device 1 pressure after data preprocessing, they are quantized to the same interval according to a certain contraction ratio, and then the combustion aid temperature, turbine generator 3 load and hydrogen storage device 1 pressure, combustion aid humidity, oxygen content and dynamic control amount are sorted in a certain order. For example, the 7 index items set in the embodiment of the present application, the first-level index item is the combustion aid temperature, the second-level index item is the combustion aid humidity, the third-level index item is the combustion aid oxygen content, the fourth-level index item is the turbine generator 3 load, the fifth-level index item is the hydrogen storage device 1 pressure, the sixth-level index item is the first control amount of the high-pressure control valve 2, and the seventh-level index item is the second control amount of the combustion aid supply device 5. According to the above rules, the dynamic control table is established, which contains the predicted samples and dynamic control amounts, and the mapping relationship with the power generation parameters, such as shown in Table 1, which is part of the data of the dynamic control table.

[0113] Table 1 Representative data of dynamic control table

[0114]

[0115] When using the dynamic control table to predict power generation parameters, the data in the prediction samples are searched one by one in the dynamic control table according to the index item order of the dynamic control table until the first control quantity and the second control quantity corresponding to the power generation parameter with the highest power generation efficiency are determined.

[0116] like Figure 1As shown, in some embodiments of the present application, the hydrogen energy physical-chemical cogeneration power generation system further includes an oxidant supply device 5 , and the oxidant supply device 5 is connected to the fuel cell device 4 via a third pipeline 300 .

[0117] The combustion aid supply device 5 includes an air filter. An air filter is used to remove dust and harmful substances in the air, for example, to filter out particulate matter in the air, and to remove harmful gases in the air through adsorption and chemical reaction. In addition, an air compressor can be set to adjust the pressure of the combustion aid, an intercooler can be set to adjust the temperature of the combustion aid, and a humidifier can be set to adjust the humidity of the combustion aid.

[0118] A hydrogen energy physical and chemical cogeneration power generation system provided in an embodiment of the present application is also provided with a safety detection device 6. The hydrogen energy efficient physical and chemical cogeneration power generation system is a power generation technology that uses hydrogen and oxygen to generate an electrochemical reaction in a fuel cell to generate electricity and heat. However, there are also certain safety risks, such as hydrogen leakage, combustion or explosion. In order to ensure the safe operation of the hydrogen energy physical and chemical cogeneration power generation system, the hydrogen energy physical and chemical cogeneration power generation system includes a safety detection device 6, which uses multiple sensors to monitor the ambient hydrogen concentration in the current state, as well as the temperature, pressure and current parameters of the fuel cell in real time. During the power generation process, if there are abnormal conditions such as gas leakage or overheating of the fuel cell, the safety detection device 6 will promptly issue an alarm and automatically close the high-pressure control valve 2 to cut off the supply of hydrogen to prevent gas leakage from causing fire or explosion accidents; at the same time, the safety detection device 6 will also automatically start the cooling mode, and reduce the temperature of the fuel cell to a normal range by means of a fan or water cooling, so as to protect the performance and life of the fuel cell.

[0119] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be understood as limitations on the order of execution.

Claims

1. A hydrogen energy physical and chemical cogeneration power generation system, characterized in that: include: A hydrogen storage device (1), a high-pressure control valve (2), a turbine power generation device (3) and a fuel cell device (4); The hydrogen storage device (1) is used to store high-pressure hydrogen and is connected to the turbine generator (3) via a first pipeline (100); the high-pressure control valve (2) is arranged on the first pipeline (100) to adjust the pressure when the hydrogen drives the turbine generator (3) to work; The turbine power generation device (3) is connected to the fuel cell device (4) via a second pipeline (200).

2. The hydrogen energy physical-chemical cogeneration power generation system according to claim 1, characterized in that: The high-pressure control valve (2) comprises a valve (21) and a control device (22) for controlling the opening and closing of the valve (21); The control device (22) comprises a control motor (221), a clutch (222) and a control gear (223); a motor gear (224) connected to the control motor (221) meshes with a driving gear (2221) of the clutch (222); a driven gear (2222) of the clutch (222) meshes with the control gear (223); and a rotating shaft of the control gear (223) is connected to the valve (21); When the control motor (221) drives the control gear (223) to move, the opening degree of the valve (21) is controlled.

3. The hydrogen energy physical-chemical cogeneration power generation system according to claim 2, characterized in that: The high-pressure control valve (2) further comprises: a reduction transmission device (225) and a kinetic energy storage device (226); The reduction transmission device (225) is connected between the control gear (223) and the kinetic energy storage device (226), and when the control motor (221) controls the valve (21) to open, kinetic energy is stored in the kinetic energy storage device (226); When the control constraint between the control motor (221) and the control gear (223) is released, the kinetic energy stored in the kinetic energy storage device (226) is released to drive the control gear (223) to move through the reduction transmission device (225), thereby controlling the valve (21) to close.

4. The hydrogen energy physical-chemical cogeneration power generation system according to claim 2, characterized in that: The control device (22) further includes an encoder (227), and an encoder gear (228) connected to the encoder (227); The encoder gear (228) meshes with the control gear (223) to record the opening of the valve (21) when the control gear (223) rotates.

5. The hydrogen energy physical-chemical cogeneration power generation system according to claim 1, characterized in that: It also comprises an oxidant supply device (5), which is connected to the fuel cell device (4) via a third pipeline (300) and is used to supply the oxidant to the fuel cell device (4).

6. The hydrogen energy physical-chemical cogeneration power generation system according to claim 2, characterized in that: Also includes: A controller, the controller is electrically connected to the high-pressure control valve (2), and the controller is configured to: Obtaining the load of the turbine power generation device (3) and the gas pressure in the hydrogen storage device (1); Obtain the temperature, humidity and oxygen content of the combustion aid in real time; quantifying the temperature of the combustion aid, the load of the turbine power generation device (3), and the gas pressure in the hydrogen storage device (1) at the same time according to a preset ratio; Generate a control sample based on the quantified temperature of the combustion aid, the load of the turbine power generation device (3), the gas pressure in the hydrogen storage device (1), and the temperature, humidity and oxygen content of the combustion aid; Inputting the control sample and multiple groups of dynamic control quantities into a pre-established dynamic control model to obtain power generation parameters corresponding to the multiple groups of dynamic control quantities, wherein one group of dynamic control quantities includes a first control quantity of a high-pressure control valve (2) and a second control quantity of an oxidant supply device (5); Based on a preset control strategy, a first control quantity of the high-pressure control valve (2) and a second control quantity of the combustion-supporting agent supply device (5) are determined according to power generation parameters corresponding to the multiple groups of dynamic control quantities.

7. The hydrogen energy physical-chemical cogeneration power generation system according to claim 6, characterized in that: The dynamic control model is generated based on the training of the neural network model and is established according to the following steps: Obtaining N groups of independent temperature, humidity and oxygen content of the combustion-supporting agent at the same time, as well as the load of the turbine power generation device (3) and the gas pressure in the hydrogen storage device (1), as well as the first control value of the high-pressure control valve (2) and the second control value of the combustion-supporting agent supply device (5); Using N groups of independent data of the temperature, humidity, oxygen content of the combustion-supporting agent, the load of the turbine power generation device (3), and the gas pressure in the hydrogen storage device (1), as well as the first control value of the high-pressure control valve (2) and the second control value of the combustion-supporting agent supply device (5) at the same time as the input of the N groups of training samples; Acquire power generation parameters of the hydrogen energy physical-chemical cogeneration power generation system at the same time, and use the power generation parameters as outputs corresponding to N groups of training samples; Using the input and output of training samples, the neural network model is trained using the time back propagation method; The weight parameters, bias parameters and learning factors of the neural network model are continuously updated through the iterative training process; If the predicted value and the detected value of the neural network model reach the set error range, or the neural network model reaches the set maximum number of iterations, the training ends and the last updated weight parameter, bias parameter and learning factor are saved as the obtained dynamic control model.

8. The hydrogen energy physical-chemical cogeneration power generation system according to claim 6, characterized in that: The dynamic control model may also be a dynamic control table, and the dynamic control model is established according to the following steps: Obtaining N groups of independent temperature, humidity and oxygen content of the combustion-supporting agent at the same time, as well as the load of the turbine power generation device (3) and the gas pressure in the hydrogen storage device (1), as well as the first control value of the high-pressure control valve (2) and the second control value of the combustion-supporting agent supply device (5); Obtaining power generation parameters of the hydrogen energy physical-chemical cogeneration power generation system at the same time; The temperature, humidity and oxygen content of the combustion aid of N independent groups at the same time, the load of the turbine generator (3) and the air pressure in the hydrogen storage device (1), the first control quantity of the high-pressure control valve (2) and the second control quantity of the combustion aid supply device (5), and the power generation parameters of the hydrogen energy physical and chemical cogeneration power generation system are statistically analyzed to establish a dynamic control table.

9. The hydrogen energy physical-chemical cogeneration power generation system according to claim 5, characterized in that: The combustion-supporting agent supply device (5) is provided with an air filter.

10. The hydrogen energy physical-chemical cogeneration power generation system according to claim 1, characterized in that: A safety detection device (6) is also provided.

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