Multi-stage condensation and waste heat recovery method and system of high-vacuum concentration system

Abstract

The invention discloses a multi-stage condensation and waste heat recovery method and system of a high-vacuum concentration system, and relates to the technical field of energy utilization, and the method comprises the following steps: heating a liquid material to obtain high-temperature steam, condensing for multiple times, obtaining condensed liquid and waste heat, utilizing the waste heat to generate power and preheat, obtaining electric energy and preheat raw water, and recycling waste heat. Inputting electric energy and preheating raw water temperature as data into the dynamic optimization model to obtain optimization parameters, adjusting the operation states of a heating device, a cooling pump and an ORC device according to the optimization parameters, driving the heating device and the cooling pump by using the electric energy, storing excess electric energy, and maintaining energy balance by using the stored excess electric energy and waste heat, so as to achieve the purpose of energy conservation. According to the waste heat recovery system, through the combination of multi-layer waste heat recovery, the dynamic optimization model and the energy storage device, the problems that in an existing high-vacuum concentration system waste heat recovery technology, the energy utilization rate is low, the operation efficiency is low, and redundant electric energy storage and recycling are insufficient are solved.

Description

Technical Field

[0001] The invention relates to the technical field of energy utilization, in particular to a multi-stage condensation and waste heat recovery method for a high vacuum concentration system. Background Art

[0002] The waste heat recovery technology of high vacuum concentration system is of great significance in the field of energy utilization and environmental protection. With the rising energy costs and the improvement of environmental protection requirements, how to efficiently recover and utilize the waste heat in high vacuum concentration system has become a research hotspot.

[0003] The existing waste heat recovery technology for high vacuum concentration systems mainly uses traditional heat exchangers and condensers. Although it can recover some waste heat to a certain extent, it cannot achieve power generation and preheating of waste heat at the same time, resulting in low energy utilization. The existing technology lacks dynamic optimization of the waste heat recovery process and cannot adjust system parameters according to real-time operating data, resulting in uneven energy distribution and low operating efficiency of the high vacuum concentration system. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a multi-stage condensation and waste heat recovery method for a high vacuum concentration system to solve the problems of low energy utilization, low system operation efficiency, and insufficient storage and reuse of excess electrical energy.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a multi-stage condensation and waste heat recovery method for a high vacuum concentration system, characterized in that: it comprises:

[0008] Heating liquid materials to obtain high-temperature steam and condensing it multiple times to obtain condensed liquid and waste heat;

[0009] Utilize waste heat to generate electricity and preheat, obtain electricity and preheat raw water;

[0010] The power and preheated raw water temperature are used as data input into the dynamic optimization model to obtain the optimization parameters;

[0011] Adjust the operating status of the heating device, cooling pump and ORC device according to the optimized parameters, and use electric energy to drive the heating device and cooling pump to store excess electric energy;

[0012] Use excess electricity and waste heat to maintain energy balance, monitor and output the power generation of the ORC device and the temperature increase of the preheated raw water;

[0013] The temperature rise of the preheated raw water and the power generation of the ORC device are used as data input into the dynamic optimization model to generate waste heat recovery adjustment instructions.

[0014] As a preferred embodiment of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system of the present invention, wherein: the heated liquid material obtains high-temperature steam and is condensed multiple times to obtain condensed liquid and waste heat, the specific steps are:

[0015] After the liquid material is preheated, it is sent to the evaporator for heating, generating high-temperature steam and then sent to the first-stage condensation chamber;

[0016] The first-stage condensation chamber partially condenses through multi-layer condensation plates and cooling medium, and outputs condensed liquid and incompletely condensed steam;

[0017] The incompletely condensed steam enters the second-stage condensation chamber, where the bionic micro-nano structure is set up for complete condensation, outputs the condensed liquid and recovers the waste heat;

[0018] The recovered waste heat is divided into two parts through a heat exchanger. The first part of the waste heat preheats the liquid material, and the second part of the waste heat is transported to the ORC device.

[0019] As a preferred solution of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system of the present invention, wherein: the waste heat is used for power generation and preheating to obtain electric energy and preheat raw water, and the specific steps are as follows:

[0020] The second part of the waste heat passes through the heat exchanger of the ORC device to heat the organic working fluid and evaporate it into high-pressure steam;

[0021] The high-pressure steam drives the turbine to rotate, driving the generator to generate electricity, and the low-pressure steam generated by the power generation enters the condenser and is condensed into liquid organic working fluid by cooling water;

[0022] The condensed liquid output from the second-stage condensation chamber exchanges heat with raw water through a heat exchanger to preheat the raw water;

[0023] The preheated raw water enters the preheater and exchanges heat with the first part of the waste heat. The condensed liquid output from the second-stage condensation chamber has its temperature reduced after the heat exchange and returns to the evaporator to store the preheated raw water.

[0024] As a preferred solution of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system of the present invention, wherein: the electric energy and the preheated raw water temperature are used as data input into the dynamic optimization model to obtain the optimization parameters, and the specific steps are as follows:

[0025] The generated power E(t) and preheated raw water temperature T(t) of the ORC device are collected, and Kalman filtering is used to smooth E(t) and T(t) to obtain the power output E s (t) and the final temperature of raw water T w (t);

[0026] Output electric energy E s(t) and the preheating raw water temperature rise T w (t)-T(t) is substituted into the dynamic optimization model to obtain the objective function J of maximizing the output of electrical energy and increasing the temperature of the preheated raw water;

[0027] Based on the output value J of the dynamic optimization model combined with E s (t) and T w (t), and obtain the ORC device operation optimization parameter Δu(t).

[0028] As a preferred solution of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system of the present invention, wherein: the operating states of the heating device, the cooling pump and the ORC device are adjusted according to the optimization parameters, and the heating device and the cooling pump are driven by electric energy to store excess electric energy, the specific steps are:

[0029] Based on the ORC device operation optimization parameter Δu(t), the power of the heating device, the flow rate of the cooling pump and the working fluid flow rate of the ORC device are adjusted;

[0030] Monitor the power usage of the ORC device and transmit the power usage data to the dynamic optimization model to generate an optimization plan for power distribution;

[0031] Dynamically allocate electric energy to drive heating devices, cooling pumps and ORC devices according to the optimization plan of electric energy distribution;

[0032] The excess electrical energy generated by the ORC device is stored in the energy storage device.

[0033] As a preferred solution of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system of the present invention, wherein: according to the optimization scheme of electric energy distribution, the electric energy is dynamically allocated to drive the heating device, the cooling pump and the ORC device, and the specific steps are:

[0034] Collect operating data of heating device, cooling pump and ORC device and remove abnormal values;

[0035] Based on the operation data with outliers removed, the load forecasting algorithm is used to calculate the power demand of the equipment and generate a priority allocation plan;

[0036] Dynamically allocate the power consumption of the electric energy driving the heating device, the cooling pump and the ORC device according to the priority allocation scheme, and store the excess power in the energy storage device;

[0037] Feedback the equipment's power usage to the load forecasting algorithm and continuously optimize the power distribution strategy. When the energy storage device is full, the optimization process ends.

[0038] As a preferred solution of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system of the present invention, wherein: the energy balance is maintained by storing excess electric energy and waste heat, and the power generation of the ORC device and the temperature increase of the preheated raw water are monitored and output, and the specific steps are:

[0039] Releasing the excess electrical energy of the energy storage device to drive the heating device and the cooling pump;

[0040] Monitor the waste heat temperature of the second-stage condensation chamber, distribute the waste heat of the second-stage condensation chamber through the heat exchanger, and adjust the waste heat distribution ratio;

[0041] According to the temperature of the condensed liquid output from the first-stage condensing chamber and the second-stage condensing chamber, and the flow rate of the incompletely condensed steam output from the first-stage condensing chamber, the cooling pump flow rate and the cooling medium temperature are adjusted, and the excess electric energy and waste heat are maintained to maintain energy balance;

[0042] The temperature rise of the preheated raw water is obtained through the quality sensor, and the power generation of the ORC device is output through the power monitoring device.

[0043] As a preferred solution of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system of the present invention, wherein: the preheating raw water temperature rise and the power generation of the ORC device are used as data input into the dynamic optimization model to generate waste heat recovery adjustment instructions, and the specific steps are:

[0044] Smoothing and eliminating noise on the data of preheating raw water temperature rise and ORC device power generation;

[0045] Input the data of the temperature rise of the treated preheated raw water and the power generated by the ORC device into the dynamic optimization model to calculate and generate the waste heat recovery adjustment instructions;

[0046] transmitting the generated waste heat recovery adjustment command to the heating device, the cooling pump and the ORC device and adjusting the condensed liquid temperature and the power generation of the ORC device;

[0047] The data of the adjusted power generation of the ORC device is input into the dynamic optimization model again to obtain a new waste heat recovery adjustment instruction.

[0048] In a second aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system as described in the first aspect of the present invention is implemented.

[0049] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system as described in the first aspect of the present invention is implemented.

[0050] The beneficial effects of the present invention are: generating high-temperature steam by heating liquid materials and condensing them multiple times, fully recovering waste heat, using waste heat for power generation and preheating, raising the raw water temperature and generating electricity through the ORC device, improving energy utilization, adjusting the equipment operation status in real time through the dynamic optimization model to ensure balanced energy distribution, using the energy storage device to store excess electric energy and release it in time, maintaining the energy balance of the high vacuum concentration system, and realizing closed-loop control and optimizing the waste heat recovery process by real-time monitoring of power generation and preheating temperature and feeding back to the dynamic optimization model. The present invention significantly improves the energy utilization and operating efficiency of the high vacuum concentration system through multi-level waste heat recovery, dynamic optimization and energy storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0052] Figure 1 This is a flow chart of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system in Example 1.

[0053] Figure 2 This is a flow chart of the waste heat recovery adjustment instruction in Example 1. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0055] Example 1, reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, provides a multi-stage condensation and waste heat recovery method of a high vacuum concentration system, comprising the following steps:

[0056] S1. Liquid materials are heated to obtain high-temperature steam and condensed multiple times to obtain condensed liquid and waste heat.

[0057] Furthermore, the liquid material is preheated and then sent to the evaporator for heating to generate high-temperature steam which is then sent to the first-stage condensation chamber.

[0058] It should be explained that yes, the liquid material is first preheated by a preheater, and the preheater uses waste heat (such as waste heat of condensed liquid) to preliminarily heat the liquid material. The preheated liquid material enters the evaporator, and the evaporator is further heated by an external heat source (such as electric heating or steam heating) to evaporate the liquid material into high-temperature steam. The high-temperature steam is then transported to the first-stage condensation chamber for preliminary condensation. Preheating the liquid material can reduce the heating load of the evaporator and reduce energy consumption; after the generated high-temperature steam enters the first-stage condensation chamber, it is partially condensed by multiple layers of condensation plates and cooling medium, and the condensed liquid and incompletely condensed steam are preliminarily separated. Through preheating and heating of the evaporator, the energy consumption of the high vacuum concentration system is significantly reduced. At the same time, through the multi-layer condensation plate design of the first-stage condensation chamber, preliminary condensation separation is achieved, the condensation efficiency is improved, and the burden of the subsequent condensation process is reduced.

[0059] Furthermore, the first-stage condensation chamber partially condenses through the multi-layer condensation plates and the cooling medium, and outputs condensed liquid and incompletely condensed steam.

[0060] It should be stated that yes, there are multiple layers of condensation plates in the first-stage condensation chamber. The design of the condensation plates increases the condensation area and improves the condensation efficiency. The cooling medium (such as water or coolant) exchanges heat with the high-temperature steam through the condensation plates, causing part of the steam to condense into liquid. The condensed liquid is output from the bottom of the condensation chamber, while the incompletely condensed steam continues to enter the second-stage condensation chamber for further condensation. Through the optimized design of the multi-layer condensation plates and cooling medium, the condensation efficiency is significantly improved, the loss of steam is reduced, and at the same time, a more stable steam input is provided to the second-stage condensation chamber, ensuring the smooth progress of the subsequent condensation process.

[0061] Furthermore, the incompletely condensed steam enters the bionic micro-nano structure provided in the second-stage condensation chamber for complete condensation, outputs the condensed liquid and recovers the waste heat.

[0062] It should be noted that the second-stage condensation chamber adopts a bionic micro-nano structure design, imitating the efficient condensation mechanism in nature (such as the micro-nano structure on the surface of lotus leaves). This structure can achieve efficient condensation in a smaller space, ensuring that the incompletely condensed steam is completely condensed into liquid. The condensed liquid is output from the second-stage condensation chamber, and the waste heat released during the condensation process is recovered; at the same time, the recovery of waste heat provides an energy source for subsequent power generation and preheating, further improving the energy utilization rate of the high vacuum concentration system.

[0063] Furthermore, the recovered waste heat is divided into two parts through a heat exchanger, the first part of the waste heat is used to preheat the liquid material, and the second part of the waste heat is transported to the ORC device.

[0064] It should be explained that the first part of the waste heat is used to preheat the liquid material, reducing the heating load of the evaporator; the second part of the waste heat is converted into electrical energy through the ORC device, realizing the multi-level utilization of waste heat. Through the graded utilization of waste heat, it not only reduces the energy consumption of the high vacuum concentration system, but also converts the waste heat into electrical energy through the ORC device, significantly improving the comprehensive utilization rate of energy; at the same time, preheating the liquid material further reduces the overall energy consumption of the high vacuum concentration system and realizes the efficient recycling of energy.

[0065] S2. Utilize waste heat to generate electricity and preheat, obtain electricity and preheat raw water.

[0066] Furthermore, the second part of waste heat passes through the heat exchanger of the ORC device to heat the organic working medium and evaporate it into high-pressure steam.

[0067] It should be explained that the second part of the recovered waste heat passes through the heat exchanger of the ORC device to heat the organic working fluid (such as R245fa and other low-boiling-point working fluids) to evaporate it into high-pressure steam. The waste heat is used to heat the organic working fluid to change its phase into high-pressure steam, providing a power source for subsequent turbine power generation. The design of the heat exchanger ensures the efficient transfer of waste heat and avoids heat loss. By converting waste heat into high-pressure steam, the energy upgrade of waste heat is achieved, providing a stable power source for power generation. The optimized design of the heat exchanger ensures the efficient use of waste heat, avoids the problem of low waste heat utilization in traditional technologies, and significantly improves the energy conversion efficiency of the high vacuum concentration system.

[0068] Furthermore, the high-pressure steam drives the turbine to rotate, driving the generator to generate electricity and obtain electrical energy. The low-pressure steam obtained by power generation enters the condenser and is condensed into liquid organic working fluid through cooling water.

[0069] It should be explained that yes, high-pressure steam drives the turbine to rotate, converting thermal energy into mechanical energy, and then converting it into electrical energy through the generator, realizing the energy conversion of waste heat; the condenser condenses the low-pressure steam into liquid organic working fluid to ensure the recycling of the working fluid, and through the combination of the turbine and the generator, the waste heat is efficiently converted into electrical energy, which significantly improves the power generation efficiency of the high vacuum concentration system; the design of the condenser ensures the recycling of the organic working fluid, avoids the waste of working fluid, and reduces the operating cost. At the same time, this step realizes the multi-level utilization of waste heat and improves the overall energy efficiency of the high vacuum concentration system.

[0070] Furthermore, the condensed liquid output from the second-stage condensation chamber exchanges heat with raw water through a heat exchanger to preheat the raw water.

[0071] It should be explained that yes, the condensed liquid output from the second-stage condensation chamber exchanges heat with the raw water through the heat exchanger, and the residual heat of the condensed liquid is used to preheat the raw water. The temperature of the preheated raw water increases, which reduces the energy consumption required for subsequent heating of the raw water. The residual heat of the condensed liquid is used to preheat the raw water, which reduces the energy consumption required for subsequent heating of the raw water. At the same time, the temperature of the condensed liquid is reduced, which is convenient for it to return to the evaporator for recycling. The residual heat of the condensed liquid is used to preheat the raw water through the heat exchanger, which significantly reduces the energy consumption of the high vacuum concentration system and improves the comprehensive utilization rate of energy; at the same time, the reduction in the temperature of the condensed liquid is conducive to its return to the evaporator for recycling, reducing the cooling load of the high vacuum concentration system and improving the operating efficiency of the high vacuum concentration system.

[0072] Furthermore, the preheated raw water enters the preheater and exchanges heat with the first part of the waste heat. The condensed liquid output from the second-stage condensation chamber has a lower temperature after the heat exchange and returns to the evaporator to store the preheated raw water.

[0073] It should be explained that yes, the preheated raw water enters the preheater and undergoes further heat exchange with the first part of waste heat to further increase the raw water temperature; the condensed liquid output from the second-stage condensation chamber has its temperature further reduced after the heat exchange, and is returned to the evaporator for recycling, while the preheated raw water is stored, and the heat exchange between the preheater and the first part of waste heat further increases the raw water temperature, reducing the subsequent heating energy consumption; the further reduction in the temperature of the condensed liquid is conducive to its return to the evaporator for recycling, while the storage of the preheated raw water provides a stable heat source for subsequent processes, and the further heat exchange in the preheater significantly increases the preheating temperature of the raw water, reducing the subsequent heating energy consumption; the reduction in the temperature of the condensed liquid and its recycling reduce the cooling load of the high vacuum concentration system and improve the operating efficiency of the high vacuum concentration system; at the same time, the storage of preheated raw water provides a stable heat source for subsequent processes, ensuring the continuous and efficient operation of the high vacuum concentration system.

[0074] S3. Use the electric energy and preheated raw water temperature as data input into the dynamic optimization model to obtain the optimization parameters.

[0075] Furthermore, the power generated by the ORC device E(t) and the preheated raw water temperature T(t) are collected, and Kalman filtering is used to smooth E(t) and T(t) to obtain the power output E s (t) and the final temperature of raw water T w (t).

[0076] It should be noted that the electric energy E(t) generated by the ORC device and the preheated raw water temperature T(t) are collected through sensors. Since the collected data may contain noise and fluctuations, the Kalman filter algorithm is used to smooth the data to obtain a more accurate electric energy output E s (t) and the final temperature of raw water T w(t), the Kalman filter algorithm can effectively deal with the noise and uncertainty in the high vacuum concentration system, ensure the accuracy and reliability of the collected data, and provide high-quality input data for the subsequent dynamic optimization model. The data smoothing processing of the Kalman filter significantly improves the accuracy of the data, avoids the optimization errors caused by noise or fluctuations, and ensures the input data quality of the dynamic optimization model, thereby improving the optimization accuracy and operation stability of the high vacuum concentration system.

[0077] Furthermore, the electrical energy output E s (t) and the preheating raw water temperature rise T w Substitute (t)-T(t) into the dynamic optimization model, and the objective function J of maximizing the output power and increasing the temperature of the preheated raw water is as follows:

[0078]

[0079] Among them, α is the weight of electric energy, β is the weight of preheating raw water temperature, T is the initial temperature of raw water, J is the objective function of maximizing electric energy output and improving preheating raw water temperature, t f is the time point at which the operation ends, t0 is the time point at which the operation starts, and t is the time point at which the operation starts.

[0080] It should be explained that yes, the objective function J comprehensively considers the dual optimization objectives of power output and preheating raw water temperature increase. The objective function J calculates the weighted sum of power output and preheating raw water temperature increase by integration, and adjusts the high vacuum concentration system parameters in real time through the dynamic optimization model to ensure that the high vacuum concentration system achieves the optimal balance between power output and preheating effect. Through the objective function J of the dynamic optimization model, the high vacuum concentration system can achieve the optimal trade-off between power output and preheating raw water temperature increase, avoiding the problem of uneven energy distribution caused by a single optimization target in traditional technologies, and significantly improving the comprehensive energy efficiency of high vacuum concentration high vacuum concentration systems.

[0081] Furthermore, based on the output value J of the dynamic optimization model combined with E s (t) and T w (t), and the ORC device operation optimization parameter Δu(t) is obtained, the formula is as follows:

[0082] Δu(t)=J(E s (t),T w (t));

[0083] Wherein, Δu(t) represents the ORC device operation optimization parameter.

[0084] It should be stated that yes, according to the output value J of the dynamic optimization model combined with the power output E s (t) and preheating raw water temperature T w(t) Generate the operating optimization parameters Δu(t) of the ORC device. The optimization parameters Δu(t) are used to adjust the working fluid flow rate and turbine speed operating parameters of the ORC device to ensure that the high vacuum concentration system operates in the optimal state and maximize the power output and preheating effect. By adjusting the operating parameters of the ORC device in real time, the high vacuum concentration system can be dynamically optimized according to the current operating state to ensure the maximization of power output and preheating effect, avoiding the energy waste and inefficiency caused by fixed parameters in traditional technologies, and significantly improving the operating efficiency and energy utilization of the high vacuum concentration system.

[0085] S4. Adjust the operating states of the heating device, the cooling pump and the ORC device according to the optimized parameters, and use electric energy to drive the heating device and the cooling pump to store excess electric energy.

[0086] Furthermore, the power of the heating device, the flow rate of the cooling pump and the working fluid flow rate of the ORC device are adjusted based on the ORC device operation optimization parameter Δu(t).

[0087] It should be stated that yes, the input voltage or current of the heating device is adjusted according to the optimization parameter Δu(t) to adjust the power output of the heating device. For example, if Δu(t) indicates that the heating power needs to be increased, the input voltage of the heating device is increased, otherwise it is reduced. According to Δu(t), the flow rate of the cooling medium is adjusted by adjusting the motor speed or valve opening of the cooling pump. For example, if Δu(t) needs to increase the cooling effect, the speed of the cooling pump is increased or the valve is opened, otherwise it is reduced. The high vacuum concentration adjusts the flow rate of the organic working fluid by adjusting the working fluid pump speed or valve opening in the ORC device. For example, if it is necessary to increase power generation, the high vacuum concentration system will increase the speed of the working fluid pump and increase the working fluid flow rate. By adjusting the power of the heating device, the cooling pump flow rate and the working fluid flow rate of the ORC device, the high vacuum concentration system can dynamically optimize energy distribution according to real-time operating data to ensure the balance between power output and preheating effect. By dynamically adjusting the operating parameters of the heating device, cooling pump and ORC device, the high vacuum concentration system can achieve optimal energy distribution, avoiding the energy waste and inefficiency caused by fixed parameters in traditional technologies, and significantly improving the overall energy efficiency and operating stability of the high vacuum concentration system.

[0088] Furthermore, the usage of electric energy generated by the ORC device is monitored, and the data on the usage of electric energy is transmitted to the dynamic optimization model to generate an optimization plan for electric energy distribution.

[0089] It should be stated that yes, the power data E(t) generated by the ORC device and the power usage of each device (such as a heating device and a cooling pump) in the high vacuum concentration system are collected in real time through an power monitoring device (such as an electric energy meter or a sensor), and the collected power data is transmitted to the dynamic optimization model. The data transmission can be carried out by wire (such as Ethernet) or wireless (such as Wi-Fi, Bluetooth), and the dynamic optimization model calculates the optimal power distribution plan according to the current power demand and supply. For example, if the current power supply is sufficient, the model will give priority to allocating power to the heating device and the cooling pump; if the power supply is insufficient, the model will reduce the power distribution of non-critical equipment. By real-time monitoring of power usage, the dynamic optimization model can generate the optimal power distribution plan according to the current power demand and supply to ensure the efficient use of power. By real-time monitoring and optimizing power distribution, the high vacuum concentration system can dynamically adjust the use and storage of power according to the current power demand and supply, avoiding the energy waste and inefficiency of the high vacuum concentration system caused by uneven power distribution in traditional technologies. The optimized power distribution scheme ensures the efficient use of power and significantly improves the energy utilization and operational stability of the high vacuum concentration system.

[0090] Furthermore, the operating data of the heating device, cooling pump and ORC device are collected, and abnormal values ​​are eliminated.

[0091] It should be stated that the collected operating data provides a basis for subsequent load forecasting and power distribution. Eliminating outliers avoids the interference of erroneous data on the optimization process and ensures the stable operation of the high vacuum concentration system. Through data collection and elimination of outliers, the accuracy of operating data is ensured, which provides a reliable data basis for subsequent load forecasting and power distribution, avoids optimization deviations caused by data errors, and improves the operating stability and optimization accuracy of the high vacuum concentration system.

[0092] Furthermore, based on the operating data with outliers removed, a load forecasting algorithm is used to calculate the power demand of the equipment and generate a priority allocation plan.

[0093] It should be stated that yes, the load forecasting algorithm can accurately predict the power demand of the equipment based on historical data and current operating status, generate a priority allocation plan, and ensure that key equipment has priority in power supply. Through the load forecasting algorithm, the high vacuum concentration system can predict the power demand of the equipment in advance and generate a reasonable priority allocation plan to ensure that key equipment has priority in power supply, avoiding the decline in efficiency of the high vacuum concentration system due to uneven power distribution and improving the operating efficiency and stability of the high vacuum concentration system.

[0094] Furthermore, the electric energy used to drive the heating device, the cooling pump and the ORC device is dynamically allocated according to the priority allocation scheme, and the excess electric energy is stored in the energy storage device.

[0095] It should be stated that yes, according to the optimization plan, the power is dynamically allocated by adjusting the power distributor (such as a smart meter). For example, if the optimization plan indicates that the heating device needs to be driven first, the high vacuum concentration system will allocate more power to the heating device and reduce the power allocation of the cooling pump. If there is surplus power generated by the ORC device, the excess power will be stored in the energy storage device (such as a battery or a supercapacitor) through the charging controller. The charging controller will adjust the charging current and voltage according to the current state of the energy storage device (such as power, temperature) to ensure safe charging. Dynamic power distribution ensures that the high vacuum concentration system can flexibly adjust the power supply when energy demand changes to avoid energy waste; the storage of excess power provides energy reserves for subsequent use. Through dynamic power distribution, the high vacuum concentration system can flexibly adjust the power supply according to priority to ensure the stable operation of key equipment; at the same time, the storage of excess power avoids energy waste and improves the energy utilization and sustainability of the high vacuum concentration system.

[0096] Furthermore, the power consumption of the equipment is fed back to the load forecasting algorithm, and the power distribution strategy is continuously optimized. When the energy storage device is full of capacity, the optimization process ends.

[0097] It should be stated that yes, the high vacuum concentration system collects the power consumption data of each device in real time and transmits the data to the load forecasting algorithm. The load forecasting algorithm predicts future power demand based on historical data and current operating status. According to the load forecasting results, the dynamic optimization model continuously adjusts the power distribution strategy. For example, if it is predicted that the future power demand will increase, the model will increase the charging capacity of the energy storage device in advance. When the energy storage device reaches full capacity, the high vacuum concentration system stops charging and ends the optimization process. At this time, the excess power can be processed by other means (such as grid-connected power generation). Through the feedback mechanism, the high vacuum concentration system can continuously optimize the power distribution strategy according to the actual operation data to ensure the optimization of power distribution; the optimization process ends when the energy storage device is full of capacity, avoiding energy waste caused by excessive storage. Through the feedback mechanism and continuous optimization, the high vacuum concentration system can dynamically adjust the power distribution strategy according to the actual operation data to ensure the optimization of power distribution; the capacity control of the energy storage device avoids excessive storage and improves the energy management efficiency of the high vacuum concentration system.

[0098] Furthermore, the excess electric energy generated by the ORC device is stored in the energy storage device.

[0099] It should be stated that yes, the unused excess electric energy after the ORC device generates electricity is stored in the energy storage device for subsequent use. The storage of excess electric energy avoids energy waste and provides a backup energy source for the high vacuum concentration system, ensuring that the high vacuum concentration system can operate stably when the energy demand increases. By storing excess electric energy, the high vacuum concentration system can effectively utilize the electric energy generated by the ORC device, avoiding energy waste; at the same time, the energy storage device provides a backup energy source for the high vacuum concentration system, improving the energy utilization rate and operation stability of the high vacuum concentration system.

[0100] S5. Use the stored excess electricity and waste heat to maintain energy balance, monitor and output the power generation of the ORC device and the increase in the preheated raw water temperature.

[0101] Furthermore, the excess electric energy of the energy storage device is released to drive the heating device and the cooling pump.

[0102] It should be stated that yes, when the high vacuum concentration system detects an increase in power demand (such as the heating device needs more power), the high vacuum concentration releases power from the energy storage device through the discharge controller. The discharge controller adjusts the discharge current and voltage according to the current demand, and the released power is distributed to the heating device and the cooling pump through the power distributor. For example, if the heating device needs more power, the high vacuum concentration system will give priority to allocating power to the heating device to ensure its normal operation. When the energy demand of the high vacuum concentration system increases, the excess power stored in the energy storage device is released to drive the heating device and the cooling pump to ensure that the high vacuum concentration system can operate stably during peak energy demand. By releasing the power in the energy storage device, the high vacuum concentration system can provide additional energy support when the energy demand increases, avoiding the decline in efficiency or shutdown of the high vacuum concentration system due to insufficient energy. By releasing the excess power in the energy storage device, the high vacuum concentration system can provide a stable energy supply during peak energy demand, ensuring the continuous and efficient operation of the high vacuum concentration system, avoiding the problem of declining efficiency of the high vacuum concentration system due to insufficient energy in traditional technologies, and significantly improving the operating stability and energy utilization of the high vacuum concentration system.

[0103] Furthermore, the waste heat temperature of the second-stage condensation chamber is monitored, the waste heat of the second-stage condensation chamber is distributed through the heat exchanger, and the waste heat distribution ratio is adjusted.

[0104] It should be stated that yes, the waste heat temperature of the second-stage condensation chamber is monitored in real time by a temperature sensor. The sensor transmits the temperature data to the high vacuum concentration system. The high vacuum concentration system allocates the waste heat to different purposes (such as preheating raw water or transporting to the ORC device) by adjusting the valve opening of the heat exchanger according to the waste heat temperature data. For example, if the waste heat temperature is high, the high vacuum concentration system will allocate more waste heat to the ORC device for power generation, and dynamically adjust the waste heat allocation ratio according to the needs of the high vacuum concentration system. For example, if the current demand for preheating raw water is high, the high vacuum concentration system will increase the proportion of waste heat allocated to preheating raw water. The high vacuum concentration system can optimize the use of waste heat according to the current energy demand and ensure the efficient recovery and utilization of waste heat. By dynamically adjusting the waste heat allocation ratio, the high vacuum concentration system can optimize the use of waste heat according to the current energy demand, avoiding the energy waste caused by the fixed waste heat allocation in traditional technology, and significantly improving the utilization efficiency of waste heat and the overall energy efficiency of the high vacuum concentration system.

[0105] Furthermore, according to the temperature of the condensed liquid output from the first-stage condensing chamber and the second-stage condensing chamber, and the flow rate of the incompletely condensed steam output from the first-stage condensing chamber, the cooling pump flow rate and the cooling medium temperature are adjusted, and the excess electric energy and waste heat are maintained to maintain energy balance.

[0106] It should be explained that the temperature of the condensed liquid output from the first and second condensation chambers is monitored in real time by a temperature sensor, and the flow rate of the incompletely condensed steam output from the first condensation chamber is monitored by a flow sensor. According to the condensed liquid temperature and steam flow rate data, the high vacuum concentration system optimizes the condensation effect by adjusting the speed of the cooling pump and the temperature of the cooling medium. For example, if the condensed liquid temperature is too high, the high vacuum concentration system will increase the speed of the cooling pump and increase the flow rate of the cooling medium. By adjusting the cooling high vacuum concentration system and the waste heat distribution in real time, the energy balance of the excess electric energy and waste heat is ensured. For example, if there is too much waste heat, the high vacuum concentration system will increase the proportion of waste heat allocated to the ORC device, reduce the cooling load of the high vacuum concentration system, and adjust the flow rate of the cooling pump and the temperature of the cooling medium in real time according to the temperature of the condensed liquid output by the first and second condensation chambers, and the flow rate of the incompletely condensed steam output by the first condensation chamber to ensure the efficient progress of the condensation process while maintaining the energy balance of excess electrical energy and waste heat. By adjusting the cooling pump flow rate and the cooling medium temperature, the high vacuum concentration system can optimize the condensation process to ensure the efficient separation of the condensed liquid and steam, while maintaining the energy balance of excess electrical energy and waste heat to avoid energy waste. By adjusting the cooling pump flow rate and the cooling medium temperature in real time, the high vacuum concentration system can optimize the condensation process to ensure the efficient separation of the condensed liquid and steam, thereby improving the condensation efficiency; at the same time, maintaining the energy balance of excess electrical energy and waste heat to avoid energy waste, significantly improving the energy utilization rate and operation stability of the high vacuum concentration system.

[0107] Furthermore, the temperature rise of the preheated raw water is obtained through a quality sensor, and the power generation of the ORC device is output through an electric energy monitoring device.

[0108] It should be stated that yes, the temperature rise of preheated raw water is monitored in real time through the quality sensor, and the power generation of the ORC device is output in real time through the power monitoring device, so as to provide data support for the dynamic optimization of the high vacuum concentration system. By monitoring the temperature rise of preheated raw water and the power generation of the ORC device, the high vacuum concentration system can grasp the effect of energy recovery and utilization in real time, provide data input for the dynamic optimization model, and ensure the continuous optimization of the high vacuum concentration system. By monitoring the temperature rise of preheated raw water and the power generation of the ORC device in real time, the high vacuum concentration system can grasp the effect of energy recovery and utilization in real time, provide accurate data input for the dynamic optimization model, ensure the continuous optimization and efficient operation of the high vacuum concentration system, and significantly improve the overall energy efficiency and operation stability of the high vacuum concentration system.

[0109] S6. Using the preheating raw water temperature rise and the ORC device power generation as data input to the dynamic optimization model to generate a waste heat recovery adjustment instruction.

[0110] Furthermore, the data of the preheating raw water temperature rise and the power generated by the ORC device are smoothed and noise is eliminated.

[0111] It should be stated that yes, through data preprocessing technology (such as Kalman filtering, wavelet transform, etc.), the data of preheating raw water temperature rise and ORC device power generation are smoothed to eliminate noise and outliers, ensuring the accuracy and reliability of the data. Smoothing and noise elimination can improve the quality of data, avoid optimization errors caused by noise or outliers, and provide high-quality input data for the dynamic optimization model. Through data smoothing and noise elimination, the accuracy of the data is significantly improved, ensuring the input data quality of the dynamic optimization model, thereby improving the optimization accuracy and operation stability of the high vacuum concentration system, and avoiding optimization deviations caused by data errors.

[0112] Furthermore, the data of the temperature rise of the processed preheated raw water and the power generated by the ORC device are input into the dynamic optimization model to calculate and generate the waste heat recovery adjustment instructions.

[0113] It should be stated that yes, the data of the smoothed preheated raw water temperature rise and the ORC device power generation are input into the dynamic optimization model, and the waste heat recovery adjustment instructions are generated through the model calculation, which are used to adjust the operating parameters of the high vacuum concentration system in real time. The dynamic optimization model can generate the optimal adjustment instructions based on the real-time data to ensure that the high vacuum concentration system achieves the optimal balance between power output and preheating effect, thereby improving the overall energy efficiency of the high vacuum concentration system. Through the calculation of the dynamic optimization model, the high vacuum concentration system can generate the optimal adjustment instructions based on the real-time data to ensure the maximization of power output and preheating effect, thereby avoiding the energy waste and inefficiency caused by fixed parameters in traditional technologies, and significantly improving the operating efficiency and energy utilization of the high vacuum concentration system.

[0114] Further, the generated waste heat recovery adjustment instruction is transmitted to the heating device, the cooling pump and the ORC device to adjust the condensed liquid temperature and the power generation of the ORC device.

[0115] It should be stated that yes, the waste heat recovery adjustment instructions generated by the dynamic optimization model are transmitted to the heating device, cooling pump and ORC device, and the power of the heating device, the flow of the cooling pump and the working fluid flow of the ORC device are adjusted in real time, so as to optimize the condensing liquid temperature and the power generation of the ORC device. By adjusting the operating parameters of the heating device, cooling pump and ORC device in real time, the high vacuum concentration system can dynamically optimize the operating state according to the current energy demand to ensure the optimization of energy distribution. By adjusting the operating parameters of the heating device, cooling pump and ORC device in real time, the high vacuum concentration system can dynamically optimize the operating state according to the current energy demand to ensure the optimization of energy distribution, avoiding the energy waste and inefficiency caused by fixed parameters in traditional technologies, and significantly improving the overall energy efficiency and operation stability of the high vacuum concentration system.

[0116] Furthermore, the data of the power generation of the adjusted ORC device is input into the dynamic optimization model again to obtain a new waste heat recovery adjustment instruction.

[0117] It should be stated that yes, the data of the adjusted power generation of the ORC device is input into the dynamic optimization model again, and new waste heat recovery adjustment instructions are generated through model calculation to further optimize the operating state of the high vacuum concentration system. Through the feedback mechanism, the high vacuum concentration system can be continuously optimized according to the adjusted operating data to ensure that the high vacuum concentration system operates in the optimal state and maximizes the power output and preheating effect. Through the feedback mechanism and continuous optimization, the high vacuum concentration system can dynamically adjust the operating parameters according to the adjusted operating data to ensure the maximization of power output and preheating effect, avoiding the energy waste and inefficiency caused by fixed parameters in traditional technologies, and significantly improving the operating efficiency and energy utilization of the high vacuum concentration system.

[0118] This embodiment also provides a computer device, which is suitable for the multi-stage condensation and waste heat recovery method of a high vacuum concentration system, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the multi-stage condensation and waste heat recovery method of a high vacuum concentration system as proposed in the above embodiment.

[0119] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0120] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements the multi-stage condensation and waste heat recovery method for a high vacuum concentration system as proposed in the above embodiment; the storage medium can 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 storage, flash memory, disk or optical disk.

[0121] In summary, the present invention generates high-temperature steam by heating liquid materials and condenses them multiple times, fully recovers waste heat, uses waste heat for power generation and preheating, increases the temperature of raw water and generates electricity through an ORC device, improves energy utilization, adjusts the operating status of the equipment in real time through a dynamic optimization model to ensure balanced energy distribution, uses an energy storage device to store excess electrical energy and releases it in a timely manner, maintains the energy balance of the high vacuum concentration system, and realizes closed-loop control and optimizes the waste heat recovery process by real-time monitoring of power generation and preheating temperature and feeding back to the dynamic optimization model. The present invention significantly improves the energy utilization and operating efficiency of the high vacuum concentration system through multi-level waste heat recovery, dynamic optimization and energy storage.

[0122] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A multi-stage condensation and waste heat recovery method for a high vacuum concentration system, characterized in that: include, Heating liquid materials to obtain high-temperature steam and condensing it multiple times to obtain condensed liquid and waste heat; Utilize waste heat to generate electricity and preheat, obtain electricity and preheat raw water; The power and preheated raw water temperature are used as data input into the dynamic optimization model to obtain the optimization parameters; Adjust the operating status of the heating device, cooling pump and ORC device according to the optimized parameters, and use electric energy to drive the heating device and cooling pump to store excess electric energy; Use excess electricity and waste heat to maintain energy balance, monitor and output the power generation of the ORC device and the temperature increase of the preheated raw water; The temperature rise of the preheated raw water and the power generation of the ORC device are used as data input into the dynamic optimization model to generate waste heat recovery adjustment instructions.

2. The multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to claim 1, characterized in that: The liquid material is heated to obtain high-temperature steam and condensed multiple times to obtain condensed liquid and waste heat. The specific steps are: After the liquid material is preheated, it is sent to the evaporator for heating, generating high-temperature steam and then sent to the first-stage condensation chamber; The first-stage condensation chamber partially condenses through multi-layer condensation plates and cooling medium, and outputs condensed liquid and incompletely condensed steam; The incompletely condensed steam enters the second-stage condensation chamber, where it is completely condensed by the bionic micro-nanostructure, outputs the condensed liquid and recovers the waste heat. The recovered waste heat is divided into two parts through a heat exchanger. The first part of the waste heat preheats the liquid material, and the second part of the waste heat is transported to the ORC device.

3. The multi-stage condensation and waste heat recovery method of a high vacuum concentration system according to claim 2, characterized in that: The method of utilizing waste heat to generate electricity and preheat to obtain electric energy and preheat raw water comprises the following specific steps: The second part of waste heat passes through the heat exchanger of the ORC device to heat the organic working fluid and evaporate it into high-pressure steam; The high-pressure steam drives the turbine to rotate, driving the generator to generate electricity, and the low-pressure steam generated by the power generation enters the condenser and is condensed into liquid organic working fluid by cooling water; The condensed liquid output from the second-stage condensation chamber exchanges heat with raw water through a heat exchanger to preheat the raw water; The preheated raw water enters the preheater and exchanges heat with the first part of the waste heat. The condensed liquid output from the second-stage condensation chamber has its temperature reduced after the heat exchange and returns to the evaporator to store the preheated raw water.

4. The multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to claim 3, characterized in that: The specific steps of inputting the electric energy and the preheated raw water temperature as data into the dynamic optimization model to obtain the optimization parameters are as follows: The generated power E(t) and preheated raw water temperature T(t) of the ORC device are collected, and Kalman filtering is used to smooth E(t) and T(t) to obtain the power output E s (t) and the final temperature of raw water T w (t); Output electric energy E s (t) and the preheating raw water temperature rise T w (t)-T(t) is substituted into the dynamic optimization model to obtain the objective function J of maximizing the output of electrical energy and increasing the temperature of the preheated raw water; Based on the output value J of the dynamic optimization model combined with E s (t) and T w (t), and obtain the ORC device operation optimization parameter Δu(t).

5. The multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to claim 4, characterized in that: The operating states of the heating device, the cooling pump and the ORC device are adjusted according to the optimized parameters, and the heating device and the cooling pump are driven by electric energy to store excess electric energy. The specific steps are: Based on the ORC device operation optimization parameter Δu(t), the power of the heating device, the flow rate of the cooling pump and the working fluid flow rate of the ORC device are adjusted; Monitor the power usage of the ORC device and transmit the power usage data to the dynamic optimization model to generate an optimization plan for power distribution; Dynamically allocate electric energy to drive heating devices, cooling pumps and ORC devices according to the optimization plan of electric energy distribution; The excess electrical energy generated by the ORC device is stored in the energy storage device.

6. The multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to claim 5, characterized in that: The specific steps of dynamically allocating electric energy to drive the heating device, the cooling pump and the ORC device according to the optimization scheme of electric energy distribution are as follows: Collect operating data of heating device, cooling pump and ORC device and remove abnormal values; Based on the operation data with outliers removed, the load forecasting algorithm is used to calculate the power demand of the equipment and generate a priority allocation plan; Dynamically allocate the power consumption of the electric energy driving the heating device, the cooling pump and the ORC device according to the priority allocation scheme, and store the excess power in the energy storage device; Feedback the equipment's power usage to the load forecasting algorithm and continuously optimize the power distribution strategy. When the energy storage device is full, the optimization process ends.

7. The multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to claim 6, characterized in that: The method of maintaining energy balance by storing excess electric energy and waste heat, monitoring and outputting the power generation of the ORC device and the degree of increase in the temperature of the preheated raw water, comprises the following specific steps: Releasing the excess electrical energy of the energy storage device to drive the heating device and the cooling pump; Monitor the waste heat temperature of the second-stage condensation chamber, distribute the waste heat of the second-stage condensation chamber through the heat exchanger, and adjust the waste heat distribution ratio; According to the temperature of the condensed liquid output from the first-stage condensing chamber and the second-stage condensing chamber, and the flow rate of the incompletely condensed steam output from the first-stage condensing chamber, the cooling pump flow rate and the cooling medium temperature are adjusted, and the excess electric energy and waste heat are maintained to maintain energy balance; The temperature rise of the preheated raw water is obtained through the quality sensor, and the power generation of the ORC device is output through the power monitoring device.

8. The multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to claim 7, characterized in that: The step of using the preheating raw water temperature rise and the ORC device power generation as data input to the dynamic optimization model to generate the waste heat recovery adjustment instruction is as follows: Smoothing and eliminating noise on the data of preheating raw water temperature rise and ORC device power generation; Input the data of the temperature rise of the treated preheated raw water and the power generated by the ORC device into the dynamic optimization model to calculate and generate the waste heat recovery adjustment instructions; transmitting the generated waste heat recovery adjustment command to the heating device, cooling pump and ORC device and adjusting the condensed liquid temperature and the power generation of the ORC device; The data of the adjusted power generation of the ORC device is input into the dynamic optimization model again to obtain a new waste heat recovery adjustment instruction.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the multi-stage condensation and waste heat recovery method of the high vacuum concentration system according to any one of claims 1 to 8 are implemented.

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