Solar solution regeneration system based on photovoltaic photo-thermal coupling

Abstract

The invention discloses a solar solution regeneration system based on photovoltaic photo-thermal coupling, and relates to the technical field of solution regeneration, and the system comprises a moisture content calculation module which is used for calculating the variable quantity of the moisture content of air passing through a regenerator, and marking the variable quantity as a moisture content difference value; the optimal control module is used for obtaining the air mass flow and the solution mass flow when the moisture content difference value is the maximum value, marking the air mass flow and the solution mass flow as an optimal data set, and then controlling the air mass flow monitor and the solution mass flow monitor to reach the optimal data set through a fan and a second water pump; the method is used for solving the problem that in an existing solution regeneration technology, controllable data cannot be adjusted based on a solution regeneration equipment set to enable the regeneration effect of the dilute solution to be optimal, and consequently the regeneration effect of the dilute solution is poor.

Description

Technical Field

[0001] The invention relates to the technical field of solution regeneration, and in particular to a solar solution regeneration system based on photovoltaic and thermal coupling. Background Art

[0002] The liquid desiccant used in solution dehumidification air conditioning is a solution, such as lithium chloride solution. Due to the high hydrophilicity of lithium chloride solution, it can easily absorb water vapor from the air to achieve the purpose of dehumidification. According to the properties of hygroscopic solutions such as lithium chloride, the dilute solution can be regenerated by heating the solution and exchanging heat and mass with dry cold air. The solution regeneration process requires heat input. If the heat input is completely provided by electric heating, electrical energy will be wasted, so solar collectors can be used for heating. In addition to heating the solution, photovoltaic thermal collectors can also generate electricity throughout the year, which can improve the overall efficiency of solar energy. Therefore, photovoltaic thermal collectors can be used to heat the solution to construct a new solution regeneration equipment group.

[0003] Under the new solution regeneration equipment group, the quality of the dilute solution regeneration effect is affected by many factors, such as the air mass flow rate at the regenerator air inlet and the liquid mass flow rate at the regenerator liquid inlet. These two are controllable data. If the controllable data are not optimally adjusted, the dilute solution regeneration effect cannot be optimized. For example, in a patent application with application publication number CN114963363A, a solution regeneration system and a regeneration method are disclosed. This scheme fails to adjust the controllable data according to its own solution regeneration equipment group, so that the dilute solution regeneration effect cannot be optimized. The existing solution regeneration technology fails to adjust the controllable data based on its own solution regeneration equipment group to optimize the dilute solution regeneration effect, resulting in poor dilute solution regeneration effect. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by constructing a solution regeneration equipment group of a solution regeneration system, calculating the moisture content difference of air passing through the regenerator, obtaining the air mass flow rate and the solution mass flow rate when the moisture content difference is maximum, marking them as the optimal data group, and then using the fan and the second water pump to control the air mass flow monitor and the solution mass flow monitor to reach the optimal data group, so as to solve the problem in the existing solution regeneration technology that the controllable data cannot be adjusted based on its own equipment to optimize the dilute solution regeneration effect, resulting in poor dilute solution regeneration effect.

[0005] To achieve the above-mentioned purpose, the present application provides a solar solution regeneration system based on photovoltaic-thermal coupling, comprising: a regenerator, a solution tank, a photovoltaic-thermal collector and a controller; the regenerator is connected to the solution tank, and the solution tank is connected to the photovoltaic-thermal collector through a circulating solution pipe; a first water pump is installed between the solution tank and the photovoltaic-thermal collector, and the first water pump is used to circulate the solution between the solution tank and the photovoltaic-thermal collector; a second water pump and a first valve are installed between the solution tank and the regenerator, and the second water pump is used to input the solution into the regenerator; The photovoltaic thermal collector is used to collect heat and heat the solution inside. A liquid outlet is provided on one side of the photovoltaic thermal collector. A first temperature monitor is installed at the liquid outlet. The first temperature monitor is used to obtain a first temperature. An air inlet is provided on one side of the regenerator, and a fan is connected to the air inlet, and the fan is used to control the air inlet volume; a temperature and humidity monitor and an air mass flow monitor are provided at the air inlet, and the temperature and humidity monitor is used to obtain the inlet temperature and inlet humidity of the air inlet, and the air mass flow monitor is used to obtain the air mass flow of the air inlet; a liquid inlet is provided on one side of the top plate of the regenerator, and a solution mass flow monitor is installed at the liquid inlet, and the solution mass flow monitor is used to obtain the solution mass flow of the liquid inlet; The solution tank is used to store and heat the solution; a second temperature monitor is installed in the solution tank, and the second temperature monitor is used to obtain a second temperature; The controller is electrically connected to the second temperature monitor, the first water pump, the first valve, the second water pump, the solution mass flow monitor, the temperature and humidity monitor, the air mass flow monitor, the fan, the first temperature monitor, the regenerator, the solution tank and the photovoltaic thermal collector respectively.

[0006] Furthermore, the controller includes: A moisture content calculation module, the moisture content calculation module is used to calculate the change in moisture content of the air passing through the regenerator, marked as a moisture content difference; The optimal control module is used to obtain the air mass flow rate and the solution mass flow rate when the moisture content difference is maximum, mark them as the optimal data group, and then use the fan and the second water pump to control the air mass flow monitor and the solution mass flow monitor to reach the optimal data group.

[0007] Furthermore, the moisture content calculation module is configured with an inlet moisture content calculation strategy, and the inlet moisture content calculation strategy includes: Get the inlet humidity monitored by the temperature and humidity monitor, marked as Sd; Get the inlet temperature monitored by the temperature and humidity monitor, marked as Ts; The saturated water vapor pressure is calculated based on the inlet temperature and the saturated water vapor pressure calculation formula, marked as Ps; The air humidity at the regenerator inlet is calculated as: H in =0.622×Sd×Ps / (B-Sd×Ps); Among them, Hs in is the air humidity content at the regenerator inlet, Sd is the inlet humidity, Ps is the saturated water vapor pressure, and B is the atmospheric pressure.

[0008] Furthermore, the moisture content calculation module is configured with a moisture content difference calculation strategy, and the moisture content difference calculation strategy includes: Get the air mass flow monitored by the air mass flow monitor, marked as m1; The formula based on the mass transfer equation of air is: H out -Hs in =Cz×Tb×(Hs j -Hs in ) / (m1×ts); Among them, Hs out is the air humidity at the regenerator outlet, Cz is the mass transfer coefficient, Hs j is the moisture content of the air in equilibrium with the solution state, Tb is the specific surface area of ​​the filler, m1 is the air mass flow rate, and ts is the time; The formula based on the calculation formula of the number of heat and mass exchange units is: NTU = Cz × Tb / (m1 × Brr); Where NTU is the number of heat and mass exchange units; Brr is the specific heat capacity; Substituting the calculation formula of the number of heat and mass exchange units into the mass transfer equation of air, the formula is: H out -Hs in =NTU×(Hs j -Hs in ) / (Brr×ts); Use ball ring packing to obtain specific data of NTU and then obtain Hs out -Hs in The specific value is marked as the moisture content difference.

[0009] Furthermore, the optimal control module is configured with a heating strategy, and the heating strategy includes: obtaining a first temperature of a first temperature monitor; obtaining a second temperature of a second temperature monitor; Calculating a difference between the first temperature and the second temperature, labeled as a cycle difference; If the circulation difference is greater than 5, turn on the first water pump; if the circulation difference is less than or equal to 3, turn off the first water pump.

[0010] Furthermore, the optimal control module is configured with a valve opening strategy, and the valve opening strategy includes: The second temperature is obtained once every preset first time interval, marked as T i and T i+1 ; Where i represents the second temperature obtained for the i-th time; The absolute values ​​of the two most recently acquired temperature errors are calculated as: Tb i =|T i+1 -T i |; where Tb i is the absolute value of the two most recently acquired temperature errors; Determine Tb i Is it less than the temperature difference threshold? If so, get the next second temperature, marked as T i+2 , calculate T i+2 With T i The absolute value of the error is: Ttb i =|T i+2 -T i |; where Ttb i T i+2 With T i The absolute value of the error between Determine Ttb i Is it less than the temperature error threshold? If so, open the first valve and the second water pump.

[0011] Furthermore, the optimal control module is configured with a data acquisition strategy, and the data acquisition strategy includes: Get the range of air mass flow rate; the range of air mass flow rate is from 0 to the air mass flow rate at the maximum power of the fan; Obtaining the range of the mass flow rate of the solution; wherein the range of the mass flow rate of the solution is 0 to the mass flow rate of the solution when the second water pump has the maximum power; Divide the range of air mass flow into n+1 evenly spaced air mass flow rates, obtain the air mass flow rate of each split node, and mark it as Qkα; where α is a constant from 0 to n; Divide the range of solution mass flow rate into n+1 evenly spaced solution mass flow rates, obtain the solution mass flow rate of each split node, and mark it as Qkβ; where β is a constant from 0 to m; Get any combination of Qkα and Qkβ, and mark the monitoring combination; The air mass flow rate is controlled by the fan as Qkα in the monitoring combination; The mass flow rate of the solution is controlled by a second water pump to be Qkβ in the monitoring combination; Calculate the moisture content difference at this time; All possible monitoring combinations are obtained, and the change values ​​of air humidity under all monitoring combinations are calculated and marked as Hbθ; where θ is a constant ranging from 1 to n×m.

[0012] Furthermore, the optimal control module is configured with a scatter plot establishment strategy, and the scatter plot establishment strategy includes: A three-dimensional coordinate system is established with air mass flow as X-axis data, solution mass flow as Y-axis data, and air moisture content change value as Z-axis, and is marked as moisture content difference coordinate system; Plot Qkα, Qkβ and Hbθ in the moisture content difference coordinate system to obtain a moisture content difference scatter plot.

[0013] Furthermore, the optimal control module is configured with a function fitting strategy, and the function fitting strategy includes: Set the preset moisture difference fitting function to: Z=a1×X 2 +a2×Y 2 +a3×X+a4×Y+a5; where a1, a2, a3, a4 and a5 are equation coefficients, X and Y are independent variables, and Z is the dependent variable; A surface graph is fitted based on the moisture difference scatter plot and the preset moisture difference fitting function, and is marked as a moisture difference surface graph; Based on the moisture difference surface graph, specific data of the preset fitting functions a1, a2, a3, a4 and a5 are obtained, marked as actual coefficients, and the actual coefficients are substituted into the preset moisture difference fitting function to obtain the moisture difference fitting function.

[0014] Furthermore, the optimal control module is configured with a control device strategy, and the control device strategy includes: Get the maximum value of Z in the moisture difference fitting function, and observe the data corresponding to X and Y of the moisture difference surface graph, marked as X z，max , Y z，max ; Use the fan to control the air mass flow rate to X z，max ; Use the second water pump to control the air mass flow rate to Y z，max .

[0015] Beneficial effects of the present invention: The present invention constructs its own equipment group of the solution regeneration system, calculates the moisture content difference of the air passing through the regenerator, obtains the air mass flow rate and the solution mass flow rate when the moisture content difference is the maximum, marks them as the optimal data group, and then uses the fan and the second water pump to control the air mass flow monitor and the solution mass flow monitor to reach the optimal data group. The advantage is that by combining photovoltaic and photothermal heat for heat input, it can also achieve year-round power generation and improve the comprehensive efficiency of solar energy. At the same time, the optimal data group corresponding to the optimal solution regeneration is calculated, so that the air mass flow monitor and the solution mass flow monitor reach the optimal data group, and the effect of dilute solution regeneration is improved; The present invention calculates the moisture content difference of air passing through the regenerator. The advantage is that the effect of dilute solution regeneration depends on the amount of water carried away by the air. Therefore, the size of the moisture content difference can represent the effect of dilute solution regeneration. The moisture content difference is convenient for comparing the effect of dilute solution regeneration. The present invention adopts a function fitting strategy, and its advantage is that the relationship between the air mass flow rate, the liquid mass flow rate and the moisture content difference can be intuitively displayed through the function, and the optimal data set of the gas mass flow rate and the liquid mass flow rate when the moisture content difference is maximum can be found. Then, the fan and the second water pump are used to control the air mass flow monitor and the solution mass flow monitor to reach the optimal data set. The size of the moisture content difference can represent the effect of the dilute solution regeneration. When the moisture content difference is maximum, the effect of the dilute solution regeneration is best, thereby improving the effect of the dilute solution regeneration. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a principle block diagram of the controller of the present invention; Figure 2 A schematic diagram of the connection of the device of the present invention; Figure 3 It is a schematic diagram of a moisture difference scatter plot of the present invention; Figure 4 It is a schematic diagram of the moisture difference surface diagram of the present invention; Among them: 1. air mass flow monitor; 2. temperature and humidity monitor; 3. solution mass flow monitor; 4. second water pump; 5. first valve; 6. second temperature monitor; 7. first water pump; 8. first temperature monitor. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] Example 1, please refer to Figure 1 and Figure 2 As shown, the present application provides a solar solution regeneration system based on photovoltaic-thermal coupling, including a regenerator, a solution tank, a photovoltaic-thermal collector and a controller; the regenerator is connected to the solution tank, and the solution tank is connected to the photovoltaic-thermal collector through a circulating solution pipe; a first water pump 7 is installed between the solution tank and the photovoltaic-thermal collector, and the first water pump 7 is used to circulate the solution between the solution tank and the photovoltaic-thermal collector; a second water pump 4 and a first valve 5 are installed between the solution tank and the regenerator, and the second water pump 4 is used to input the solution into the regenerator; in order to make the solution regeneration effect better, the type of regenerator used is a countercurrent adiabatic regenerator; the solution tank is provided with an electric auxiliary heating function, which can be used for heating when solar energy is insufficient on rainy days, a dilute solution inlet is provided at the bottom of the solution tank, and a concentrated solution outlet is provided at the bottom of the regenerator.

[0019] The photovoltaic thermal collector is used to collect heat and heat the solution inside to make it reach the regeneration temperature, and regenerate the dilute solution into a concentrated solution. The photovoltaic thermal collector can realize solution heating and photovoltaic power generation throughout the year, thereby improving the comprehensive efficiency of solar energy; a liquid outlet is provided on one side of the photovoltaic thermal collector, and a first temperature monitor 8 is installed at the liquid outlet, and the first temperature monitor 8 is used to obtain a first temperature; a heating method, the heat generated by the photovoltaic thermal collector is used to heat the solution; the electricity generated by the photovoltaic thermal collector is used for grid connection or self-use of the building; An air inlet is provided on one side of the regenerator, and a fan is connected to the air inlet, and the fan is used to control the size of the air inlet; a temperature and humidity monitor 2 and an air mass flow monitor 1 are provided at the air inlet, and the temperature and humidity monitor 2 is used to obtain the inlet temperature and inlet humidity of the air inlet, and the air mass flow monitor 1 is used to obtain the air mass flow of the air inlet; a liquid inlet is provided on one side of the top plate of the regenerator, and a solution mass flow monitor 3 is installed at the liquid inlet, and the solution mass flow monitor 3 is used to obtain the solution mass flow of the liquid inlet; the working principle of the regenerator is that according to the properties of the lithium chloride solution, the solution is heated and heat and mass exchange is performed with dry cold air to regenerate the dilute solution; The solution tank is used to store and heat the solution; a second temperature monitor 6 is installed in the solution tank, and the second temperature monitor 6 is used to obtain a second temperature; The controller is electrically connected to the second temperature monitor 6, the first water pump 7, the first valve 5, the second water pump 4, the solution mass flow monitor 3, the temperature and humidity monitor 2, the air mass flow monitor 1, the fan, the first temperature monitor 8, the regenerator, the solution tank and the photovoltaic thermal collector respectively; and is used to obtain information and send control signals; The controller includes: a moisture content calculation module, which is used to calculate the change in moisture content of air passing through the regenerator, marked as a moisture content difference; The moisture content calculation module is configured with an inlet moisture content calculation strategy, which includes: Get the inlet humidity monitored by the temperature and humidity monitor 2, marked as Sd; Get the inlet temperature monitored by temperature and humidity monitor 2, marked as Ts; The saturated water vapor pressure is calculated based on the inlet temperature and the saturated water vapor pressure calculation formula, which is marked as Ps; the saturated water vapor pressure calculation formula is an existing formula, such as: Ln(Ps)=53.67957-6743.769 / (273.15+Ts)-4.8451×ln(273.15+Ts); The air humidity at the regenerator inlet is calculated as: H in =0.622×Sd×Ps / (B-Sd×Ps); Among them, Hs in is the air humidity at the regenerator inlet, Sd is the inlet humidity, Ps is the saturated water vapor pressure, and B is the atmospheric pressure; In practical applications, the inlet humidity monitored by the temperature and humidity monitor 2 is 60%; the inlet temperature monitored by the temperature and humidity monitor 2 is 20℃; 20℃ is substituted into the saturated water vapor pressure calculation formula to obtain Ps=2339Pa, and the calculation result is retained as an integer; the atmospheric pressure is obtained as 101325Pa, and the inlet humidity is substituted into the saturated water vapor pressure and atmospheric pressure moisture content formula. The air moisture content is: Hs in =0.622×0.6×2339 / (101325-0.6×2339)=8.72g / kg, the result is rounded to two decimal places.

[0020] The moisture content calculation module configures the moisture content difference calculation strategy, which includes: Get the air mass flow monitored by air mass flow monitor 1, marked as m1; The formula based on the mass transfer equation of air is: H out -Hs in =Cz×Tb×(Hs j -Hs in ) / (m1×ts); Among them, Hs out is the air humidity at the regenerator outlet, Cz is the mass transfer coefficient, Hs j is the moisture content of the air in equilibrium with the solution, Tb is the specific surface area of ​​the filler, m1 is the air mass flow rate, and ts is the time; because (Hs out -Hs in)m1×ts is the mass of moisture carried away by air, so the mass transfer equation of the air is obtained, ts is usually set as unit time; Hs j Calculated according to the saturated water vapor pressure calculation formula; The formula based on the calculation formula of the number of heat and mass exchange units is: NTU = Cz × Tb / (m1 × Brr); Where NTU is the number of heat and mass exchange units; Brr is the specific heat capacity; Substituting the calculation formula of the number of heat and mass exchange units into the mass transfer equation of air, the formula is: H out -Hs in =NTU×(Hs j -Hs in ) / (Brr×ts); Use ball ring packing to obtain specific data of NTU and then obtain Hs out -Hs in The specific value of is marked as the moisture content difference; the ball ring packing specifications can be obtained to obtain the specific value of NTU, such as NTU=0.82; In practical applications, NTU=0.82, ts=1s, Hs in =8.72g / kg, calculated Hs j =192.72g / kg, Brr=18.03 (J / (kg ℃)), substitute into the formula Hs out -Hs in =NTU×(Hs j -Hs in ) / (Brr×ts)=0.82×(192.72-8.72) / 18.03=8.38, and the result is rounded to an integer.

[0021] The optimal control module is used to obtain the air mass flow rate and the solution mass flow rate when the moisture content difference is the maximum value, mark it as the optimal data group, and then use the fan and the second water pump 4 to control the air mass flow monitor 1 and the solution mass flow monitor 3 to reach the optimal data group.

[0022] The optimal control module is configured with a heating strategy, which includes: Acquiring a first temperature of a first temperature monitor 8; Acquiring a second temperature of the second temperature monitor 6; Calculating a difference between the first temperature and the second temperature, labeled as a cycle difference; If the circulation difference is greater than 5, turn on the first water pump 7; if the circulation difference is less than or equal to 3, turn off the first water pump 7; in order to save electric energy and quickly increase the temperature of the solution tank, if the circulation difference is greater than 5, that is, the temperature of the solution in the photovoltaic thermal collector is 5°C or more higher than the temperature of the solution in the solution tank, the solution can be heated by the photovoltaic thermal collector; In actual application, the first temperature is 40°C, the second temperature is 30°C, and the cycle difference is 10°C. If 10 is greater than 5, the first water pump 7 is turned on; The optimal control module is configured with a valve opening strategy, which includes: The second temperature is obtained once every preset first time interval, marked as T i and T i+1 ; Where i represents the second temperature obtained for the i-th time; the preset first time can be set to 60s, which can be adjusted according to the speed of temperature change; The absolute values ​​of the two most recently acquired temperature errors are calculated as: Tb i =|T i+1 -T i |; where Tb i is the absolute value of the two most recently acquired temperature errors; Determine Tb i Is it less than the temperature difference threshold? If so, get the next second temperature, marked as T i+2 , calculate T i+2 With T i The absolute value of the error is: Ttb i =|T i+2 -T i |; where Ttb i T i+2 With T i The absolute value of the error between the two; the temperature difference threshold setting data is relatively small, such as the temperature difference threshold = 1°C; Determine Ttb i Is it less than the temperature error threshold? If so, open the first valve and the second water pump 4. When the heating stability value of the solution tank is obtained, that is, the solution tank can only be heated to this temperature, the first valve and the second water pump 4 are opened to allow the solution to enter the regenerator. In practical applications, the two second temperatures obtained most recently are T i+1 =60.5℃, T i =60.1℃, calculate Ttb i =|T i+2 -T i |=0.4℃, the temperature difference threshold is 1℃, 0.4℃ is less than the temperature difference threshold, and then wait for 60s to obtain the second temperature of 60.6℃, calculate Ttb i =|T i+2 -Ti |=0.5℃, 0.5℃ is less than the temperature difference threshold, then open the first valve and the second water pump 4 to allow the solution to enter the regenerator. When the temperature of the solution tank is heated to a certain degree, the temperature change is not obvious, which indicates that the temperature has been heated to a certain limit, and the circulation operation of the solution can be started at this time.

[0023] The optimal control module is configured with a data acquisition strategy, which includes: Get the range of air mass flow rate; the range of air mass flow rate is from 0 to the air mass flow rate at the maximum power of the fan; Obtain the range of the mass flow rate of the solution; wherein the range of the mass flow rate of the solution is 0 to the mass flow rate of the solution when the second water pump 4 is at maximum power; Divide the range of air mass flow into n+1 evenly spaced air mass flow rates, obtain the air mass flow rate of each split node, and mark it as Qkα; where α is a constant from 0 to n; Divide the range of solution mass flow rate into n+1 evenly spaced solution mass flow rates, obtain the solution mass flow rate of each split node, and mark it as Qkβ; where β is a constant from 0 to m; Get any combination of Qkα and Qkβ and mark the monitoring combination; that is, get the possible data combination of air mass flow rate and solution mass flow rate; The air mass flow rate is controlled by the fan as Qkα in the monitoring combination; The second water pump 4 is used to control the mass flow rate of the solution to be Qkβ in the monitoring combination; Calculate the moisture content difference at this time; All possible monitoring combinations are obtained, and the change values ​​of air humidity under all monitoring combinations are calculated and marked as Hbθ; where θ is a constant ranging from 1 to n×m.

[0024] The optimal control module is configured with a scatter plot strategy, which includes: A three-dimensional coordinate system is established with air mass flow as X-axis data, solution mass flow as Y-axis data, and air moisture content change value as Z-axis, and is marked as moisture content difference coordinate system; Plot Qkα, Qkβ and Hbθ in the moisture content difference coordinate system to obtain a moisture content difference scatter plot.

[0025] For practical applications, please refer to Figure 3As shown, the range of air mass flow is 0kg / s to 1.2kg / s, the range of solution mass flow is 0kg / s to 2kg / s, the range of air mass flow is divided into 4 evenly spaced air mass flow rates, and the air mass flow rates of each segmentation node are obtained as 0, 0.4kg / s, 0.8kg / s, and 1.2kg / s respectively; similarly, the range of solution mass flow rate of each segmentation node is obtained, for example, a monitoring combination is 0.4kg / s and 1.2kg / s, the air mass flow rate is controlled to be 0.4kg / s by the fan; the solution mass flow rate is controlled to be 1.2kg / s by the second water pump 4; the moisture content difference at this time is calculated to be 8.38kg / s, and then the moisture content difference corresponding to the monitoring combination is obtained, and then Qkα, Qkβ and Hbθ are plotted in the moisture content difference coordinate system to obtain a moisture content difference scatter plot.

[0026] The moisture content difference optimal control module is configured with a function fitting strategy, which includes: Set the preset moisture difference fitting function to: Z=a1×X 2 +a2×Y 2 +a3×X+a4×Y+a5; where a1, a2, a3, a4 and a5 are equation coefficients, X and Y are independent variables, and Z is the dependent variable; A surface graph is fitted based on the moisture difference scatter plot and the preset moisture difference fitting function, and is marked as a moisture difference surface graph; Based on the moisture difference surface graph, specific data of preset fitting functions a1, a2, a3, a4 and a5 are obtained, marked as actual coefficients, and the actual coefficients are substituted into the preset moisture difference fitting function to obtain the moisture difference fitting function; For practical applications, please refer to Figure 4 As shown, an example is given. Based on the moisture difference surface graph, the specific data of the preset fitting functions a1, a2, a3, a4 and a5 are -10, -10, 23, 12, 21, respectively, marked as actual coefficients. Substituting the actual coefficients into the preset moisture difference fitting function, the moisture difference fitting function is obtained as Z=-10×X 2 -10×Y 2 +23×X+12×Y+21; The optimal control module is configured with a control device strategy, which includes: Get the maximum value of Z in the moisture difference fitting function, and observe the data corresponding to X and Y of the moisture difference surface graph, marked as X z，max , Y z，max ; Use the fan to control the air mass flow rate to X z，max ; The air mass flow rate is controlled to be Y by the second water pump 4 z，max; Make the solution regeneration effect reach the best; In practical applications, the maximum value of Z in the function Z=-10×X2-10×Y2+23×X+12×Y+21 is 37.82537.825. z，max =1.15kg / s, Y z，max =0.8kg / s; the air mass flow rate is controlled to be 1.15kg / s by the fan; the air mass flow rate is controlled to be 0.8kg / s by the second water pump 4. In actual application, real-time monitoring data and mathematical models are used to formulate a real-time operation optimization process for the solution regeneration system. Under different solution temperatures and air temperature and humidity, the real-time regeneration effect of the regenerator can be optimized through operation optimization, ultimately achieving the effect of energy saving and efficiency improvement.

[0027] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0028] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

Claims

1. A solar solution regeneration system based on photovoltaic and thermal coupling, characterized in that: include: A regenerator, a solution tank, a photovoltaic thermal collector, and a controller; the regenerator is connected to the solution tank, and the solution tank is connected to the photovoltaic thermal collector via a circulating solution pipe; a first water pump (7) is installed between the solution tank and the photovoltaic thermal collector, and the first water pump (7) is used to circulate the solution between the solution tank and the photovoltaic thermal collector; a second water pump (4) and a first valve (5) are installed between the solution tank and the regenerator, and the second water pump (4) is used to input the solution into the regenerator; The photovoltaic thermal collector is used to collect heat and heat the solution inside. A liquid outlet is provided on one side of the photovoltaic thermal collector. A first temperature monitor (8) is installed at the liquid outlet. The first temperature monitor (8) is used to obtain a first temperature. An air inlet is provided on one side of the regenerator, and the air inlet is connected to a fan, and the fan is used to control the amount of air inlet; a temperature and humidity monitor (2) and an air mass flow monitor (1) are provided at the air inlet, and the temperature and humidity monitor (2) is used to obtain the inlet temperature and inlet humidity of the air inlet, and the air mass flow monitor (1) is used to obtain the air mass flow of the air inlet; a liquid inlet is provided on one side of the top plate of the regenerator, and a solution mass flow monitor (3) is installed at the liquid inlet, and the solution mass flow monitor (3) is used to obtain the solution mass flow of the liquid inlet; The solution tank is used to store and heat the solution; a second temperature monitor (6) is installed in the solution tank, and the second temperature monitor (6) is used to obtain a second temperature; The controller is electrically connected to the second temperature monitor (6), the first water pump (7), the first valve (5), the second water pump (4), the solution mass flow monitor (3), the temperature and humidity monitor (2), the air mass flow monitor (1), the fan, the first temperature monitor (8), the regenerator, the solution tank and the photovoltaic thermal collector.

2. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 1 is characterized in that: The controller includes: A moisture content calculation module, the moisture content calculation module is used to calculate the change in moisture content of the air passing through the regenerator, marked as a moisture content difference; An optimal control module is used to obtain the air mass flow rate and the solution mass flow rate when the moisture content difference is at a maximum value, mark them as an optimal data group, and then use the fan and the second water pump (4) to control the air mass flow monitor (1) and the solution mass flow monitor (3) to achieve the optimal data group.

3. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 2 is characterized in that: The moisture content calculation module is configured with an inlet moisture content calculation strategy, and the inlet moisture content calculation strategy includes: Get the inlet humidity monitored by the temperature and humidity monitor (2), marked as Sd; Get the inlet temperature monitored by the temperature and humidity monitor (2), marked as Ts; The saturated water vapor pressure is calculated based on the inlet temperature and the saturated water vapor pressure calculation formula, marked as Ps; The air humidity at the regenerator inlet is calculated as: Hs in =0.622×Sd×Ps / (B-Sd×Ps); Among them, Hs in is the air humidity at the regenerator inlet, Sd is the inlet humidity, Ps is the saturated water vapor pressure, and B is the atmospheric pressure.

4. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 3 is characterized in that: The moisture content calculation module is configured with a moisture content difference calculation strategy, and the moisture content difference calculation strategy includes: Obtain the air mass flow monitored by the air mass flow monitor (1), marked as m1; The formula based on the mass transfer equation of air is: Hs out -Hs in =Cz×Tb×(Hs j -Hs in ) / (m1×ts); Among them, Hs out is the air humidity at the regenerator outlet, Cz is the mass transfer coefficient, Hs j is the moisture content of the air in equilibrium with the solution state, Tb is the specific surface area of ​​the filler, m1 is the air mass flow rate, and ts is the time; The formula based on the calculation formula of the number of heat and mass exchange units is: NTU = Cz × Tb / (m1 × Brr); Where NTU is the number of heat and mass exchange units; Brr is the specific heat capacity; Substituting the calculation formula of the number of heat and mass exchange units into the mass transfer equation of air, the formula is: Hs out -Hs in =NTU×(Hs j -Hs in ) / (Brr×ts); Use ball ring packing to obtain specific data of NTU and then obtain Hs out -Hs in The specific value is marked as the moisture content difference.

5. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 4 is characterized in that: The optimal control module is configured with a heating strategy, which includes: Obtaining a first temperature of a first temperature monitor (8); Obtaining a second temperature of a second temperature monitor (6); Calculating a difference between the first temperature and the second temperature, labeled as a cycle difference; If the circulation difference is greater than 5, the first water pump (7) is turned on; if the circulation difference is less than or equal to 3, the first water pump (7) is turned off.

6. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 5 is characterized in that: The optimal control module is configured with a valve opening strategy, and the valve opening strategy includes: The second temperature is obtained once every preset first time interval, marked as T i and T i+1 ; Where i represents the second temperature obtained for the i-th time; The absolute values ​​of the two most recently acquired temperature errors are calculated as: Tb i =|T i+1 -T i |; where Tb i is the absolute value of the two most recently acquired temperature errors; Determine Tb i Is it less than the temperature difference threshold? If so, get the next second temperature, marked as T i+2 , calculate T i+2 With T i The absolute value of the error is: Ttb i =|T i+2 -Ti|; where Ttb i T i+2 With T i The absolute value of the error between Determine Ttb i Is it less than the temperature error threshold? If so, open the first valve and the second water pump (4).

7. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 6 is characterized in that: The optimal control module is configured with a data acquisition strategy, which includes: Get the range of air mass flow rate; the range of air mass flow rate is from 0 to the air mass flow rate at the maximum power of the fan; Obtaining a range of the mass flow rate of the solution; wherein the range of the mass flow rate of the solution is from 0 to the mass flow rate of the solution when the second water pump (4) has a maximum power; Divide the range of air mass flow into n+1 evenly spaced air mass flow rates, obtain the air mass flow rate of each split node, and mark it as Qkα; where α is a constant from 0 to n; Divide the range of solution mass flow rate into n+1 evenly spaced solution mass flow rates, obtain the solution mass flow rate of each split node, and mark it as Qkβ; where β is a constant from 0 to m; Get any combination of Qkα and Qkβ, and mark the monitoring combination; The air mass flow rate is controlled by the fan as Qkα in the monitoring combination; Using the second water pump (4) to control the mass flow rate of the solution to be Qkβ in the monitoring combination; Calculate the moisture content difference at this time; All possible monitoring combinations are obtained, and the change values ​​of air humidity under all monitoring combinations are calculated and marked as Hbθ; where θ is a constant ranging from 1 to n×m.

8. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 7 is characterized in that: The optimal control module is configured with a scatter plot strategy, and the scatter plot strategy includes: A three-dimensional coordinate system is established with air mass flow as X-axis data, solution mass flow as Y-axis data, and air moisture content change value as Z-axis, and is marked as moisture content difference coordinate system; Plot Qkα, Qkβ and Hbθ in the moisture content difference coordinate system to obtain a moisture content difference scatter plot.

9. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 8 is characterized in that: The optimal control module is configured with a function fitting strategy, which includes: Set the preset moisture difference fitting function to: Z=a1×X 2 +a2×Y 2 +a3×X+a4×Y+a5; where a1, a2, a3, a4 and a5 are equation coefficients, X and Y are independent variables, and Z is the dependent variable; A surface graph is fitted based on the moisture difference scatter plot and the preset moisture difference fitting function, and is marked as a moisture difference surface graph; Based on the moisture difference surface graph, specific data of the preset fitting functions a1, a2, a3, a4 and a5 are obtained, marked as actual coefficients, and the actual coefficients are substituted into the preset moisture difference fitting function to obtain the moisture difference fitting function.

10. The solar solution regeneration system based on photovoltaic and thermal coupling according to claim 9, characterized in that: The optimal control module is configured with a control device strategy, and the control device strategy includes: Get the maximum value of Z in the moisture difference fitting function, and observe the data corresponding to X and Y of the moisture difference surface graph, marked as X z，max , Y z，max ; Use the fan to control the air mass flow rate to X z，max ; The air mass flow rate is controlled to be Y by the second water pump (4). z，max .

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