Air energy storage and gas collection device

Abstract

The invention discloses an air energy storage and gas collection device which comprises a gas storage tank, a compression mechanism, a release mechanism and a control system, the compression mechanism is connected with the gas storage tank, the release mechanism is connected with the gas storage tank, the control system controls work of the compression mechanism and the release mechanism, and the control system comprises a pressure sensor and a control unit. The control unit controls work of the compression mechanism and the release mechanism according to signals of the pressure sensor, the compression mechanism comprises a compressor and a motor, the release mechanism comprises a release valve, the device further comprises a heat exchanger used for conducting heat exchange in the air compression process, and the overall efficiency of the system is improved; by optimizing the electric compressor control technology, energy consumption is reduced, and energy efficiency is improved; the optimized compressor has higher working efficiency and high response speed, realizes accurate temperature control, reduces energy loss, is more energy-saving and environment-friendly, can reduce energy consumption and maintenance cost of the compressor through optimization and improvement, and contributes to reducing the maintenance cost for a long time.

Description

Technical Field

[0001] The present invention belongs to the technical field of air energy storage, and in particular relates to an air energy storage gas collecting device. Background Art

[0002] With the rapid development of renewable energy, the power system's demand for reliable power support has increased, and long-term energy storage has become one of the main directions for the development of energy storage technology in the future. Compressed air energy storage, as a long-term energy storage technology, plays an important supporting role in the construction of new power systems in the future. Improving the efficiency of air energy storage gas collection is a key issue, and reducing the energy loss caused by the compressor is an urgent problem to be solved. Summary of the invention

[0003] To achieve the above-mentioned purpose, the technical solution of the present invention is as follows: an air energy storage and gas collection device, comprising an air storage tank, a compression mechanism, a release mechanism and a control system, wherein the compression mechanism is connected to the air storage tank, the release mechanism is connected to the air storage tank, the control system controls the operation of the compression mechanism and the release mechanism, the control system comprises a pressure sensor and a control unit, the control unit controls the operation of the compression mechanism and the release mechanism according to the signal of the pressure sensor, the compression mechanism comprises a compressor and a motor, the release mechanism comprises a release valve, and the device also comprises a heat exchanger for performing heat exchange during the air compression process.

[0004] Preferably, the gas storage tank has a composite material structure of at least n layers.

[0005] Based on the above technical features, the composite material structure gas tank has an excellent strength / rigidity to weight ratio, which allows the gas tank to reduce weight while maintaining the pressure rating and improve hydrogen storage efficiency. Composite gas tanks use high-tech carbon fiber composite materials with excellent heat resistance and fatigue resistance, which contributes to the stability and durability of the gas tank under high pressure and temperature changes. The use of composite materials extends the service life of the gas tank, which is twice the expected life of traditional material containers.

[0006] Preferably, the release mechanism is connected to the air storage tank and is used to release compressed air, which is controlled by a valve, and the opening degree of the valve is θ , and release flow Q The relationship is ,in k is the flow coefficient.

[0007] Based on the above technical features, by accurately controlling the opening degree of the valve θ, it is possible to achieve precise control of the release flow Q, thereby finely adjusting the release of compressed air and optimizing system response and efficiency; this formula shows that the flow rate is proportional to the square of the valve opening, which means that even a small change in the opening degree can cause a significant change in the flow rate, improving the regulation efficiency and response speed of the system.

[0008] Preferably, the pressure sensor has a measuring range of 0 to Pmax MPa, with an accuracy of ±0.1%. The control unit adjusts the motor speed through the PID control algorithm according to the signal from the pressure sensor. N , to control the compression ratio of the compressor, where the PID control parameter is the proportional coefficient Kp , integral coefficient Ki , differential coefficient Kd .

[0009] Preferably, the release valve has an opening degree θ The relationship with the release time t is ,in θ max is the maximum opening degree, k is the time constant.

[0010] Preferably, the compression mechanism also includes collecting sound parameters of the compressor, including noise values ​​and vibration values, to determine whether the target requirements are met, collecting structural parameters of the compressor, including the dynamic imbalance of the crankshaft, the unbalanced force of the movable scroll, and the friction between the movable scroll and the fixed scroll, and judging whether the design requirements are met based on the relationship between the pre-stored structural parameters and the sound parameters.

[0011] Based on the above technical features, at a specific speed, the noise value and vibration value of the electric compressor need to meet specific target requirements. For example, when the specific speed is 1000rpm, the target requirements include a noise value less than or equal to 52dB and a vibration value less than or equal to 2m / s². Dynamic imbalance of the crankshaft: needs to be less than or equal to the preset dynamic imbalance threshold. Unbalanced force of the orbiting scroll: needs to be less than or equal to the preset unbalanced force threshold. Friction between the orbiting scroll and the stationary scroll: needs to be less than or equal to the preset friction threshold.

[0012] Preferably, the compression mechanism also includes collecting the transfer path parameters of the electric compressor, including the vibration acceleration of the rear suspension active bracket and the noise value of the compressor in the vehicle, and judging whether the design requirements are met based on the relationship between the pre-stored transfer path parameters and the sound parameters. If the transfer path parameters do not meet the design requirements, the structure of the electric compressor transfer path is optimized and tested after optimization.

[0013] Preferably, an approximate model is established for the sample library through artificial neural networks and genetic algorithms, and the optimal solution is selected. The r coordinate value on the meridian plane of the impeller blade and the beta angle of the hub and shroud sides of the blade are selected as variable parameters, and the variable range is ±10% of the design value. The multi-variable efficiency of 113% design flow, design flow and 85% design flow is selected as the optimization objective function, and the total pressure ratio of the design point is used as a constraint condition. According to the data of the sample library, a neural network is generated, and then the neural network is continuously trained according to the optimization results of the multi-objective genetic algorithm. The predicted value with an error within 2% of the CFD result is selected, and the impeller blade installation angle and the outlet installation angle of the blades of different cross-sections of the recirculator are adjusted according to the optimization design scheme.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention improves the overall efficiency of the system; by optimizing the electric compressor control technology, energy consumption is reduced and energy efficiency is improved; the optimized compressor has higher working efficiency, fast response speed, and achieves precise temperature control, while reducing energy loss, being more energy-saving and environmentally friendly; the optimization and improvement can reduce the energy consumption and maintenance costs of the compressor, which helps to reduce maintenance costs in the long run. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the overall structural connection of the energy storage and gas collection device of the present invention; Figure 2 This is a connection diagram for compressor parameter collection; Figure 3 This is a connection diagram for collecting pressure parameters of gas tanks. DETAILED DESCRIPTION

[0016] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0017] Example: Figures 1 to 3 As shown, an air energy storage and gas collection device includes an air storage tank, a compression mechanism, a release mechanism and a control system, wherein the compression mechanism is connected to the air storage tank, the release mechanism is connected to the air storage tank, the control system controls the operation of the compression mechanism and the release mechanism, the control system includes a pressure sensor and a control unit, the control unit controls the operation of the compression mechanism and the release mechanism according to a signal from the pressure sensor, the compression mechanism includes a compressor and a motor, the release mechanism includes a release valve, and the device also includes a heat exchanger for performing heat exchange in the process of compressing air. Furthermore, the gas tank has a composite material structure of at least n layers. The composite material structure gas tank has an excellent strength / rigidity to weight ratio, which allows the gas tank to reduce weight while maintaining the pressure rating and improve hydrogen storage efficiency. The composite material gas tank uses high-tech carbon fiber composite materials with excellent heat resistance and fatigue resistance, which contributes to the stability and durability of the gas tank under high pressure and temperature change environments. The use of composite materials extends the service life of the gas tank, which is twice the expected life of traditional material containers.

[0018] Furthermore, the release mechanism is connected to the air storage tank and is used to release compressed air. The valve is controlled to open to a certain degree. θ , and release flow Q The relationship is ,in k is the flow coefficient. By precisely controlling the opening degree of the valve θ , it is possible to achieve precise control of the release flow Q, thereby finely adjusting the release of compressed air and optimizing system response and efficiency; this formula shows that the flow rate is proportional to the square of the valve opening, which means that even a small change in the opening degree can cause a significant change in the flow rate, improving the regulation efficiency and response speed of the system.

[0019] Furthermore, the pressure sensor has a measuring range of 0 to Pmax MPa, with an accuracy of ±0.1%. The control unit adjusts the motor speed through the PID control algorithm according to the signal from the pressure sensor. N , to control the compression ratio of the compressor, where the PID control parameter is the proportional coefficient Kp , integral coefficient Ki , differential coefficient Kd .

[0020] Furthermore, the opening degree of the release valve is θ The relationship with the release time t is ,in θmax is the maximum opening degree, k is the time constant.

[0021] Furthermore, the compression mechanism also includes collecting the sound parameters of the compressor, including noise values ​​and vibration values, judging whether the target requirements are met, collecting the structural parameters of the compressor, including the dynamic imbalance of the crankshaft, the imbalance force of the movable scroll, and the friction between the movable scroll and the fixed scroll, and judging whether the design requirements are met based on the relationship between the pre-stored structural parameters and the sound parameters. At a specific speed, the noise value and vibration value of the electric compressor need to meet specific target requirements, for example: when the specific speed is 1000rpm, the target requirements include a noise value less than or equal to 52dB and a vibration value less than or equal to 2m / s². Dynamic imbalance of the crankshaft: needs to be less than or equal to the preset dynamic imbalance threshold. Unbalance force of the movable scroll: needs to be less than or equal to the preset unbalance force threshold. Friction between the movable scroll and the fixed scroll: needs to be less than or equal to the preset friction threshold.

[0022] Furthermore, the compression mechanism also includes collecting the transmission path parameters of the electric compressor, including the vibration acceleration of the rear suspension active bracket and the noise value of the compressor in the vehicle, and judging whether the design requirements are met based on the relationship between the pre-stored transmission path parameters and the sound parameters. If the transmission path parameters do not meet the design requirements, the structure of the electric compressor transmission path is optimized and tested after optimization.

[0023] Furthermore, an approximate model of the sample library was established through artificial neural networks and genetic algorithms, and the optimal solution was selected. The r coordinate value on the meridian plane of the impeller blade and the beta angles on the hub and shroud sides of the blade were selected as variable parameters. The variable range was ±10% of the design value. The multi-variable efficiency of 113% design flow, design flow and 85% design flow was selected as the optimization objective function. The total pressure ratio of the design point was used as a constraint condition. A neural network was generated based on the data of the sample library, and then the neural network was continuously trained according to the optimization results of the multi-objective genetic algorithm. The predicted values ​​with an error within 2% of the CFD results were selected, and the impeller blade installation angle and the recirculator blade outlet installation angle with different cross-sections were adjusted according to the optimized design scheme.

[0024] It should be noted that the above content only illustrates the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. For ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications all fall within the protection scope of the claims of the present invention.

Claims

1. An air energy storage and gas collection device, characterized in that: The invention comprises an air storage tank, a compression mechanism, a release mechanism and a control system, wherein the compression mechanism is connected to the air storage tank, the release mechanism is connected to the air storage tank, the control system controls the operation of the compression mechanism and the release mechanism, the control system comprises a pressure sensor and a control unit, the control unit controls the operation of the compression mechanism and the release mechanism according to the signal of the pressure sensor, the compression mechanism comprises a compressor and a motor, the release mechanism comprises a release valve, and the device also comprises a heat exchanger for performing heat exchange in the process of compressing air.

2. An air energy storage and gas collection device according to claim 1, characterized in that: The gas storage tank has at least n Layered composite structure.

3. The air energy storage and gas collection device according to claim 1, characterized in that: The release mechanism is connected to the air tank and is used to release compressed air. The valve is controlled by the valve, and the opening degree of the valve is θ , and release flow Q The relationship is ,in k is the flow coefficient.

4. The air energy storage and gas collection device according to claim 1, characterized in that: The pressure sensor has a measuring range of 0 to Pmax MPa, with an accuracy of ±0.1%. The control unit adjusts the motor speed through the PID control algorithm according to the signal from the pressure sensor. N , to control the compression ratio of the compressor, where the PID control parameter is the proportional coefficient Kp , integral coefficient Ki , differential coefficient Kd .

5. The air energy storage and gas collection device according to claim 1, characterized in that: The opening degree of the release valve θ The relationship with the release time t is ,in θmax is the maximum opening degree, k is the time constant.

6. The air energy storage and gas collection device according to claim 1, characterized in that: The compression mechanism also includes collecting sound parameters of the compressor, including noise values ​​and vibration values, to determine whether the target requirements are met, collecting structural parameters of the compressor, including the dynamic imbalance of the crankshaft, the imbalance force of the movable scroll, and the friction between the movable scroll and the fixed scroll, and judging whether the design requirements are met based on the relationship between the pre-stored structural parameters and the sound parameters.

7. The air energy storage and gas collection device according to claim 1, characterized in that: The compression mechanism also includes collecting the transmission path parameters of the electric compressor, including the vibration acceleration of the rear suspension active bracket and the noise value of the compressor in the vehicle, and judging whether the design requirements are met based on the relationship between the pre-stored transmission path parameters and the sound parameters. If the transmission path parameters do not meet the design requirements, the structure of the transmission path of the electric compressor is optimized and tested after optimization.

8. The air energy storage and gas collection device according to claim 1, characterized in that: An approximate model of the sample library is established through artificial neural networks and genetic algorithms, and the optimal solution is selected. The r coordinate value on the meridian plane of the impeller blade and the beta angle of the hub and shroud sides of the blade are selected as variable parameters. The variable range is ±10% of the design value. The multi-variable efficiency of 113% design flow, design flow and 85% design flow is selected as the optimization objective function. The total pressure ratio of the design point is used as a constraint condition. A neural network is generated according to the data of the sample library, and then the neural network is continuously trained according to the optimization results of the multi-objective genetic algorithm. The predicted value with an error within 2% of the CFD result is selected, and the impeller blade installation angle and the outlet installation angle of the blades with different cross-sections of the return flow device are adjusted according to the optimization design scheme.

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