Multi-gradient energy storage-based waste heat recovery optimization management system and method

Abstract

This invention relates to the field of waste heat recovery, addressing the problems of poor utilization of waste heat at different temperatures and significant heat waste during the heat recovery process. Specifically, it relates to a waste heat recovery optimization management system and method based on multi-gradient energy storage. This invention independently manages heat energy recovery at different temperatures, forming a tiered utilization recovery method that significantly improves the comprehensive utilization rate of waste heat resources. Simultaneously, through real-time adjustment of hierarchical optimization and recovery optimization strategies, it dynamically adjusts the heat energy distribution ratio between each tier, maintaining the recovery efficiency of each tier within the optimal range. Finally, it records the real-time operating parameters of the high-heat, medium-heat, and low-heat sections, forming an operating history database. When significant changes in waste heat outlet parameters are detected, a pre-stored multi-gradient matching model is invoked to recalculate the optimal heat distribution ratio for the high-heat, medium-heat, and low-heat sections, ensuring the continuous and stable operation of the waste heat recovery process.

Description

Technical Field

[0001] This invention relates to the field of waste heat recovery, specifically to an optimized management system and method for waste heat recovery based on multi-gradient energy storage. Background Technology

[0002] With the increasing demands for energy conservation and carbon reduction, waste heat recovery technology has become an important research direction in the field of comprehensive energy utilization. The large amount of waste heat generated during waste incineration makes improving the capacity and efficiency of waste incineration waste heat utilization not only an environmental protection requirement, but also a key step for the industry to shift from waste treatment to energy supply. If it is not effectively recovered and utilized, it will be directly lost into the environment, causing energy waste and thermal pollution problems.

[0003] Currently, waste heat recovery systems typically employ a single temperature level recovery method, directly converting waste heat into hot water or steam for utilization via heat exchangers. Some advanced systems incorporate heat storage devices, using sensible heat storage or phase change heat storage to temporarily store waste heat, mitigating the time mismatch between heat source fluctuations and heating demand. However, traditional waste heat recovery technologies still have the following shortcomings: First, waste heat resources exhibit a significant temperature gradient, with substantial differences in heat energy quality from high-temperature to low-temperature ranges. Conventional systems lack the capability for refined hierarchical management of multi-gradient waste heat, often focusing on recovery only within a specific temperature range. This results in high-grade heat energy not being prioritized for utilization and low-grade heat energy being difficult to recover effectively, thus limiting overall heat energy recovery efficiency.

[0004] Second, when the outlet parameters of the waste heat source fluctuate, conventional systems struggle to respond promptly and adjust the recovery strategies of each stage. Due to the lack of real-time monitoring and adaptive adjustment mechanisms for waste heat outlet parameters, system stability is insufficient, and recovery efficiency cannot be maintained at optimal levels.

[0005] Third, there is a lack of comprehensive evaluation indicators for the efficiency of multi-stage heat recovery. A single heat recovery efficiency cannot reflect the degree of priority utilization of high-grade heat energy, making it difficult to accurately assess the system's comprehensive matching ability with waste heat resources, resulting in a lack of scientific basis for optimization and control.

[0006] To address the aforementioned technical issues, there is an urgent need for a waste heat recovery optimization management system capable of multi-gradient energy storage hierarchical management and dynamic optimization adjustment. A solution is proposed here. Summary of the Invention

[0007] In this invention, heat energy recovery in the high-heat, medium-heat, and low-heat stages is managed and parameters are collected independently, forming a tiered recovery method. This allows for graded recovery based on heat energy grade, significantly improving the comprehensive utilization rate of waste heat resources. Simultaneously, through real-time adjustment of tiered optimization and recovery optimization strategies, the heat energy distribution ratio between each stage is dynamically adjusted, enabling the system to adapt to heat source fluctuations and changes in heat demand, maintaining the recovery efficiency of each stage within the optimal range. Finally, the real-time operating parameters of the high-heat, medium-heat, and low-heat stages are recorded to form an operating history database. When significant changes in waste heat outlet parameters are detected, a pre-stored multi-gradient matching model is invoked to recalculate the optimal heat distribution ratio for the high-heat, medium-heat, and low-heat stages, ensuring continuous and stable operation of the waste heat recovery process. Therefore, a waste heat recovery optimization management system and method based on multi-gradient energy storage is proposed.

[0008] The objective of this invention can be achieved through the following technical solution: a waste heat recovery optimization management system based on multi-gradient energy storage, including a multi-gradient recovery rate monitoring module, a waste heat recovery control module, a dynamic gradient classification module, a high heat recovery management unit, a medium heat recovery management unit, and a low heat recovery management unit; The high-heat recovery management unit is used to manage the heat energy recovery of the high-heat section in the waste heat recovery process, and to obtain the total heat loss, effective recovery amount and thermal power generation power of the high-heat section. The intermediate heat recovery management unit manages the heat energy recovery of the intermediate heat section of waste heat recovery, and obtains the total heat loss, effective recovery amount and heat recovery capacity of the intermediate heat section. The low-heat recovery management unit manages the heat energy recovery of the terminal low-heat section of waste heat recovery and obtains the total heat loss and effective heat recovery of the low-heat section. The multi-gradient recovery rate monitoring module performs statistics on the heat energy recovery of high-heat, medium-heat and low-heat stages, generates a total heat energy recovery curve, and calculates the final heat energy recovery efficiency. The multi-gradient recovery rate monitoring module judges the final heat energy recovery efficiency and generates a recovery optimization signal and a recovery record signal based on the judgment result. The dynamic gradient hierarchical module is used to acquire the recovery optimization signal, generate hierarchical optimization adjustment strategy and recovery optimization adjustment strategy, and then send the hierarchical optimization adjustment strategy and recovery optimization adjustment strategy to the high heat recovery management unit, the medium heat recovery management unit and the low heat recovery management unit. After receiving the recovery record signal, the waste heat recovery control module continuously records the waste heat recovery operation and optimizes the waste heat recovery when it detects changes in the waste heat outlet parameters.

[0009] In a preferred embodiment of the present invention, the high-heat recovery management unit obtains the total heat loss of the high-heat section in the following manner: The inlet temperature, outlet temperature, and real-time flow rate of the high heat recovery section are obtained. The temperature difference of the high heat recovery section is calculated by the difference between the inlet temperature and the outlet temperature. The total heat loss of the high heat recovery section is calculated based on the temperature difference, real-time flow rate, and specific heat capacity. The medium-heat recovery management unit and the low-heat recovery management unit obtain the total heat loss of the medium-heat section and the low-heat section in the same way.

[0010] In a preferred embodiment of the present invention, the high-heat recovery management unit obtains the effective recovery amount in the following manner: The temperature rise and flow rate of the heat receiving medium in the high heat recovery section are obtained. The effective recovery amount of the high heat recovery section is obtained by using the temperature rise, the flow rate of the medium, and the specific heat capacity. The high-heat recovery management unit obtains thermal power generation power in the following way: The efficiency of the generator set in converting the heat energy output from the high heat recovery section into electrical energy is obtained. The effective recovery amount of the high heat recovery section is calculated to obtain the effective heat recovery rate. This rate is then multiplied by the generator set efficiency to obtain the thermal power generation capacity of the high heat recovery section.

[0011] In a preferred embodiment of the present invention, the intermediate heat recovery management unit obtains the effective recovery amount in the following manner: The inlet heat flow of the intermediate heat recovery section into the heating system and the ineffective heat flow lost by the heating system to the environment are collected. The difference between the inlet heat flow and the ineffective heat flow is calculated to obtain the net heating input of the intermediate heat recovery section. The heating network transmission efficiency and the heat exchange efficiency of the terminal radiators in the intermediate heat recovery section are collected. The net heat input for heating is multiplied by the heating network transmission efficiency and the terminal radiator heat exchange efficiency in sequence to obtain the effective amount of heat recovery that can actually be used for heating in the intermediate heat recovery section.

[0012] In a preferred embodiment of the present invention, the heat recovery management unit obtains the heat recovery capacity in the following manner: The total heating load demand of the heating area served by the intermediate heat recovery section and the heating heat currently satisfied in the heating area are obtained. The difference between the total heating load demand and the currently satisfied heating heat is calculated to obtain the remaining heat demand capacity of the heating area, which is the heat recovery capacity of the intermediate heat recovery section.

[0013] In a preferred embodiment of the present invention, the low-heat recovery management unit obtains the heat recovery amount in the following manner: The inlet and outlet temperatures of the terminal heat exchanger in the low heat recovery section are collected, and the temperature drop at the end of the low heat recovery section is calculated by the difference between the inlet and outlet temperatures. The terminal heat exchange capacity of the low heat recovery section is calculated based on the terminal temperature drop, the terminal heat exchange medium flow rate, and the specific heat capacity of the medium. The heat pump system input power and coefficient of performance (COP) of the low heat recovery section are collected. The heat exchange at the terminal is multiplied by the COP and then the difference is calculated with the heat pump system input power to obtain the heat recovery amount of the low heat recovery section.

[0014] In a preferred embodiment of the present invention, the multi-gradient recovery rate monitoring module calculates the final heat recovery efficiency in the following manner: The effective recovery amounts of the high, medium, and low heat ranges are obtained and summed to obtain the total effective recovered heat. The total heat loss of the high, medium, and low heat ranges is obtained and summed to obtain the total input heat. The total effective recovered heat of the system is divided by the total input heat of the system to obtain the final heat recovery efficiency. If the final heat recovery efficiency is less than a set threshold, a recovery optimization signal is generated.

[0015] In a preferred embodiment of the present invention, the dynamic gradient grading module compares the effective heat recovery amount of the intermediate heating section with the heat recovery capacity. If the effective heat recovery amount is greater than the heat recovery capacity, a graded optimization adjustment strategy is generated to raise the temperature boundary between the intermediate heating section and the low heating section, thereby reducing the total heat loss of the intermediate heating section. The dynamic gradient classification module calculates the heat recovery efficiency corresponding to the high-heat, medium-heat, and low-heat sections. If the heat recovery efficiency is less than a set threshold, a recovery optimization adjustment strategy is generated.

[0016] This invention also proposes an optimized management method for waste heat recovery based on multi-gradient energy storage, comprising the following steps: Step 1: Graded parameter acquisition; Step 2: Statistics on multi-gradient recycling efficiency; Step 3: Dynamic hierarchical optimization and adjustment; Step 4: Continuous recording and adaptive adjustment.

[0017] Compared with the prior art, the beneficial effects of the present invention are: In this invention, heat energy recovery in the high-heat, medium-heat, and low-heat stages is managed and parameters are collected independently. The high-heat stage is used for power generation, the medium-heat stage is used for heating, and the low-heat stage is recovered after being upgraded by a heat pump system, forming a tiered recovery method. Compared with a single temperature level recovery method, it can achieve graded recovery based on the heat energy grade, prioritizing the use of high-grade heat energy for power generation, medium-grade heat energy for heating, and low-grade heat energy for recovery after being upgraded by a heat pump, significantly improving the comprehensive utilization rate of waste heat resources. In this invention, the effective recovery amount of the medium-heat section is compared with the heat recovery capacity. When the effective recovery amount is greater than the heat recovery capacity, a graded optimization adjustment strategy is generated to adjust the temperature boundary between the medium-heat section and the low-heat section, thereby changing the total heat loss of the medium-heat section used for heating. At the same time, the heat recovery efficiency corresponding to the high-heat section, medium-heat section and low-heat section is calculated. When the heat recovery efficiency is less than a set threshold, a recovery optimization adjustment strategy is generated to realize the dynamic adjustment of the heat distribution ratio between each stage, so that the system can adapt to heat source fluctuations and changes in heat demand, and maintain the recovery efficiency of each stage within the optimal range. In this invention, real-time operating parameters of the high-heat, medium-heat, and low-heat sections are recorded at a preset sampling period to form an operating history database. When excessive fluctuations in the waste heat outlet temperature or excessive changes in the waste heat outlet flow rate are detected, the pre-stored multi-gradient matching model is invoked based on the changed outlet temperature and flow rates to recalculate the optimal heat distribution ratio of the high-heat, medium-heat, and low-heat sections. Adjustment commands are then sent to each recovery management unit, enabling the system to have an adaptive capability to quickly respond to heat source fluctuations and ensuring the continuous and stable operation of the waste heat recovery process. Attached Figure Description

[0018] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0019] Figure 1 This is a system block diagram of the present invention; Figure 2 This is a system flowchart of the present invention. Detailed Implementation

[0020] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1: Please refer to Figure 1 - Figure 2 As shown, the waste heat recovery optimization management system based on multi-gradient energy storage includes a multi-gradient recovery rate monitoring module, a waste heat recovery control module, a dynamic gradient classification module, a high-heat recovery management unit, a medium-heat recovery management unit, and a low-heat recovery management unit. The high-heat recovery management unit corresponds to the high-temperature section in the waste heat recovery process and is used for waste heat power generation. The medium-heat recovery management unit corresponds to the medium-temperature section and is used for waste heat heating. The low-heat recovery management unit corresponds to the low-temperature section and is used for waste heat energy storage.

[0022] The high-heat recovery management unit is used to manage the high-heat section heat energy recovery in the waste heat recovery process, specifically to obtain the total heat loss, effective recovery amount and thermal power generation power of the high-heat section; The total heat loss is obtained as follows: the high-heat recovery management unit acquires the inlet temperature, outlet temperature, and real-time flow rate of the high-heat recovery section. The temperature difference between the inlet and outlet temperatures is calculated to obtain the temperature difference of the high-heat recovery section. Based on this temperature difference, the real-time flow rate, and the specific heat capacity of the waste heat medium, the total heat loss of the high-heat recovery section is calculated. This total heat loss represents the total amount of heat energy entering this stage and serves as the basis for subsequent efficiency calculations.

[0023] The effective recovery amount is obtained as follows: the high-heat recovery management unit acquires the temperature rise and flow rate of the heat receiving medium in the high-heat recovery section. The effective recovery amount of the high-heat recovery section is calculated using the temperature rise, the flow rate of the medium, and the specific heat capacity. This effective recovery amount represents the heat actually absorbed by the heat storage device or heat exchange equipment and usable for subsequent applications. The method for obtaining thermal power generation is as follows: the high heat recovery management unit obtains the generator set efficiency of the output heat energy of the high heat recovery section into electrical energy, calculates the effective recovery amount of the high heat recovery section according to the time dimension, obtains the effective heat recovery speed, and then multiplies it with the generator set efficiency to obtain the thermal power generation of the high heat recovery section.

[0024] The intermediate heat recovery management unit is used to manage the heat energy recovery in the intermediate heat section of waste heat recovery, specifically obtaining the total heat loss, effective recovery amount, and heat recovery capacity of the intermediate heat section. The total heat loss is obtained in the same way as the high heat recovery management unit, that is, by calculating the total heat loss of the medium heat recovery section using the inlet temperature, outlet temperature and real-time flow rate of the medium heat recovery section, combined with the specific heat capacity of the waste heat medium. The effective recovery amount is obtained by the following method: the medium heat recovery management unit collects the inlet heat flow of the medium heat recovery section into the heating system (i.e., the heat power output from the heat storage device into the heating network) and the ineffective heat flow lost by the heating system to the environment during transmission (including heat loss from the network and heat loss from the heat exchange equipment). The difference between the inlet heat flow and the ineffective heat flow is calculated to obtain the net heating input heat of the medium heat recovery section. Furthermore, the intermediate heat recovery management unit collects the heating network transmission efficiency and the heat exchange efficiency of the terminal radiators in the intermediate heat recovery section. It then multiplies the net heating input by the heating network transmission efficiency and the terminal radiator heat exchange efficiency in sequence to obtain the effective recovery amount that the intermediate heat recovery section can actually use for heating. This effective recovery amount represents the heat that ultimately enters the heated room and is actually utilized by the user. The method for obtaining the heat recovery capacity is as follows: Obtain the total heating load demand of the heating area served by the intermediate heat recovery section and the heating heat currently being met in the area. The total heating load demand is calculated based on the building area, the heat transfer coefficient of the building envelope, the indoor-outdoor design temperature difference, and the heating period. The difference between the total heating load demand and the currently met heating heat is calculated to obtain the remaining heat demand capacity of the heating area, which is the heat recovery capacity of the intermediate heat recovery section. This capacity represents the maximum heat that the heating system can currently absorb and is used to determine whether the intermediate heat recovery section needs to transfer heat to the lower heat recovery section.

[0025] The low-heat recovery management unit is used to manage the heat energy recovery of the terminal low-heat section of waste heat recovery, specifically to obtain the total heat loss and effective heat recovery of the low-heat section. The low-heat recovery management unit obtains the total heat loss of the low-heat section in the same way as the high-heat recovery management unit, that is, by using the inlet temperature, outlet temperature and real-time flow rate of the low-heat recovery section, combined with the specific heat capacity of the waste heat medium.

[0026] The effective heat recovery amount is obtained by collecting the inlet and outlet temperatures of the terminal heat exchanger of the low heat recovery section, calculating the terminal temperature drop of the low heat recovery section by the difference between the inlet and outlet temperatures, and calculating the terminal heat exchange amount of the low heat recovery section based on the terminal temperature drop, the flow rate of the terminal heat exchange medium and the specific heat capacity of the medium. This terminal heat exchange amount represents the heat extracted by the heat exchanger from the low-grade waste heat.

[0027] The low-heat recovery management unit collects the input power and coefficient of performance (COP) of the heat pump system in the low-heat recovery section. It multiplies the terminal heat exchange by the COP and then calculates the difference with the input power of the heat pump system to obtain the heat recovery amount in the low-heat recovery section. The physical meaning of this calculation is: the heat pump system uses the input electrical energy to drive the terminal heat exchange to a higher grade before outputting it. The output heat minus the input electrical work is the effective heat actually extracted from the low-grade waste heat.

[0028] The multi-gradient recovery rate monitoring module statistically analyzes the heat energy recovery of the high-heat, medium-heat, and low-heat stages. With time as the horizontal axis, it records the curves of real-time recovery efficiency and cumulative recovered heat for each stage, which are used as the total heat energy recovery curve. The module also calculates the final heat energy recovery efficiency. The multi-gradient recovery rate monitoring module calculates the final heat recovery efficiency as follows: It obtains the effective heat recovery amount reported by the high-heat recovery management unit, the effective heat recovery amount reported by the medium-heat recovery management unit, and the effective heat recovery amount reported by the low-heat recovery management unit, and sums these three amounts to obtain the total effective heat recovery of the system; it also obtains the total heat loss reported by the high-heat recovery management unit, the medium-heat recovery management unit, and the low-heat recovery management unit, and sums these three amounts to obtain the total input heat of the system; finally, it divides the total effective heat recovery of the system by the total input heat of the system to obtain the final heat recovery efficiency. The multi-gradient recovery rate monitoring module compares the calculated final heat recovery efficiency with the preset efficiency threshold. If the final heat recovery efficiency is less than the set threshold, a recovery optimization signal is generated, indicating that the system needs to be optimized and adjusted. If the final heat recovery efficiency is greater than or equal to the set threshold, a recovery recording signal is generated, indicating that the system maintains the current operating mode and continues to record operating data. The dynamic gradient hierarchical module is used to acquire the recycling optimization signal, generate hierarchical optimization adjustment strategy and recycling optimization adjustment strategy, and then send the above strategies to the high heat recovery management unit, medium heat recovery management unit and low heat recovery management unit for execution respectively. The hierarchical optimization and adjustment strategy involves the dynamic gradient hierarchical module comparing the effective heat recovery amount in the middle heating section with the heat recovery capacity. If the effective heat recovery amount exceeds the heat recovery capacity, it indicates that the heat recovered in the middle heating section has exceeded the actual absorption capacity of the heating area. Continuing to input heat into the middle heating section will cause overheating or heat waste in the heating system. In this case, the dynamic gradient hierarchical module generates a hierarchical optimization and adjustment strategy, raising the temperature boundary between the middle and low heating sections. This lowers the upper limit of the design temperature for the middle heating section, transferring some low-grade heat energy that should originally belong to the middle heating section to the low heating section for processing, thereby reducing the total heat loss in the middle heating section and achieving a rebalancing of the heat load at each stage. The heat recovery optimization and adjustment strategy is as follows: The dynamic gradient grading module divides the effective heat recovery amount of each grade by the total heat loss of that grade to calculate the heat recovery efficiency corresponding to the high-heat, medium-heat, and low-heat sections. If the heat recovery efficiency of a certain grade is less than the set efficiency threshold for that grade, a heat recovery optimization and adjustment strategy is generated. This strategy includes adjustment instructions for specific grades, such as: adjusting the flow rate of the heat exchange medium or the charging cycle of the heat storage device for the high-heat section; adjusting the supply water temperature of the heating system or the opening of the heating valve for the medium-heat section; and adjusting the operating power of the heat pump system or the operating time of the heat exchanger for the low-heat section.

[0029] After receiving the recovery record signal sent by the multi-gradient recovery rate monitoring module, the waste heat recovery control module continuously records the waste heat recovery operation and optimizes the waste heat recovery when it detects changes in the waste heat outlet parameters. The waste heat recovery control module records real-time operating parameters of the high-heat, medium-heat, and low-heat sections of the waste heat recovery system at a preset sampling period, including temperature, flow rate, pressure, heat storage device charging and discharging status, and recovery efficiency of each stage, forming an operating history database.

[0030] The waste heat recovery control module monitors the temperature and flow parameters at the waste heat outlet in real time, which is the final emission status of the waste heat source. When the temperature fluctuation at the waste heat outlet exceeds the preset temperature fluctuation threshold or the flow rate change rate at the waste heat outlet exceeds the preset flow rate change rate threshold, it is determined that the waste heat outlet parameters have changed, indicating that the state of the waste heat source has changed significantly and the system needs to make a response adjustment. Based on the changed outlet temperature and flow rates, the waste heat recovery control module calls upon a pre-stored multi-gradient matching model to recalculate the optimal heat distribution ratio for the high-heat, medium-heat, and low-heat stages. This optimal heat distribution ratio is then translated into specific adjustment commands, such as adjusting the opening of the flow distribution valves for each stage of heat exchange medium, adjusting the charging priority of the heat storage device, and changing the start-up and shutdown status of the heat pump system. These commands are then sent to the high-heat recovery management unit, medium-heat recovery management unit, and low-heat recovery management unit for execution, thereby achieving dynamic optimization and control of the waste heat recovery process.

[0031] Example 2: Please refer to Figure 1 - Figure 2 As shown, the waste heat recovery optimization management method based on multi-gradient energy storage includes the following steps: Step 1: Obtain the total heat loss, effective heat recovery, and thermal power generation of the high-heat section through the high-heat recovery management unit; obtain the total heat loss, effective heat recovery, and heat recovery capacity of the medium-heat section through the medium-heat recovery management unit; obtain the total heat loss and effective heat recovery of the low-heat section through the low-heat recovery management unit. Step 2: The multi-gradient recovery rate monitoring module obtains the effective recovery amount of the high, medium and low heat ranges respectively and accumulates them to obtain the total effective recovered heat. It also obtains the total heat loss of the high, medium and low heat ranges respectively and accumulates them to obtain the total input heat. The total effective recovered heat is divided by the total input heat to obtain the final heat recovery efficiency. If the final heat recovery efficiency is less than the set threshold, a recovery optimization signal is generated; otherwise, a recovery record signal is generated. Step 3: After the dynamic gradient grading module obtains the recycling optimization signal, it compares the effective recycling amount of the medium-heat section with the heat recycling capacity. Based on the comparison results, it determines and generates a graded optimization adjustment strategy. At the same time, it calculates the heat energy recycling efficiency corresponding to the high-heat section, medium-heat section and low-heat section. If the heat energy recycling efficiency is less than the set threshold, a recycling optimization adjustment strategy is generated. Step 4: The waste heat recovery control module records the real-time operating parameters of the high-heat, medium-heat, and low-heat sections at a preset sampling period to form an operating history database; it monitors the temperature and flow parameters at the waste heat outlet in real time. When a change in the waste heat outlet parameters is detected, it calls the pre-stored multi-gradient matching model to recalculate the optimal heat distribution ratio of the high-heat, medium-heat, and low-heat sections based on the changed outlet temperature and flow values. The optimal heat distribution ratio is then converted into adjustment commands and sent to the high-heat recovery management unit, medium-heat recovery management unit, and low-heat recovery management unit for execution.

[0032] Thresholds, preset values, or preset ranges are set for result comparison and analysis to determine whether they are good or bad. The magnitude of these values ​​is determined by a combination of large-scale model analysis of the sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influence conditions. Similarly, the weighting ratio coefficients and influence factors are set based on the magnitude of each parameter's influence on the results. These values ​​are assigned to reflect the overall impact on the results. They are also determined by a combination of large-scale model analysis of the sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influence conditions.

[0033] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A waste heat recovery optimized management system based on multi-gradient accumulation, characterized by, It includes a multi-gradient recovery rate monitoring module, a waste heat recovery control module, a dynamic gradient classification module, a high heat recovery management unit, a medium heat recovery management unit, and a low heat recovery management unit; The high-heat recovery management unit is used to manage the heat energy recovery of the high-heat section in the waste heat recovery process, and to obtain the total heat loss, effective recovery amount and thermal power generation power of the high-heat section. The intermediate heat recovery management unit manages the heat energy recovery of the intermediate heat section of waste heat recovery, and obtains the total heat loss, effective recovery amount and heat recovery capacity of the intermediate heat section. The low-heat recovery management unit manages the heat energy recovery of the terminal low-heat section of waste heat recovery and obtains the total heat loss and effective heat recovery of the low-heat section. The multi-gradient recovery rate monitoring module performs statistics on the heat energy recovery of high-heat, medium-heat and low-heat stages, generates a total heat energy recovery curve, and calculates the final heat energy recovery efficiency. The multi-gradient recovery rate monitoring module judges the final heat energy recovery efficiency and generates a recovery optimization signal and a recovery record signal based on the judgment result. The dynamic gradient hierarchical module is used to acquire the recovery optimization signal, generate hierarchical optimization adjustment strategy and recovery optimization adjustment strategy, and then send the hierarchical optimization adjustment strategy and recovery optimization adjustment strategy to the high heat recovery management unit, the medium heat recovery management unit and the low heat recovery management unit. After receiving the recovery record signal, the waste heat recovery control module continuously records the waste heat recovery operation and optimizes the waste heat recovery when it detects changes in the waste heat outlet parameters.

2. The multi-gradient based thermal energy storage optimized management system for waste heat recovery according to claim 1, wherein, The high-heat recovery management unit obtains the total heat loss of the high-heat section in the following way: The inlet temperature, outlet temperature, and real-time flow rate of the high heat recovery section are obtained. The temperature difference of the high heat recovery section is calculated by the difference between the inlet temperature and the outlet temperature. The total heat loss of the high heat recovery section is calculated based on the temperature difference, real-time flow rate, and specific heat capacity. The medium-heat recovery management unit and the low-heat recovery management unit obtain the total heat loss of the medium-heat section and the low-heat section in the same way.

3. The multi-gradient based thermal energy storage optimized management system for waste heat recovery according to claim 1, wherein, The high-heat recovery management unit obtains the effective recovery amount in the following way: The temperature rise and flow rate of the heat receiving medium in the high heat recovery section are obtained. The effective recovery amount of the high heat recovery section is obtained by using the temperature rise, the flow rate of the medium, and the specific heat capacity. The high-heat recovery management unit obtains thermal power generation power in the following way: The efficiency of the generator set in converting the heat energy output from the high heat recovery section into electrical energy is obtained. The effective recovery amount of the high heat recovery section is calculated to obtain the effective heat recovery rate. This rate is then multiplied by the generator set efficiency to obtain the thermal power generation capacity of the high heat recovery section.

4. The multi-gradient based thermal energy storage optimized management system for waste heat recovery according to claim 1, wherein, The method by which the heat recovery management unit obtains the effective recovery amount is as follows: The inlet heat flow of the intermediate heat recovery section into the heating system and the ineffective heat flow lost by the heating system to the environment are collected. The difference between the inlet heat flow and the ineffective heat flow is calculated to obtain the net heating input of the intermediate heat recovery section. The heating network transmission efficiency and the heat exchange efficiency of the terminal radiators in the intermediate heat recovery section are collected. The net heat input for heating is multiplied by the heating network transmission efficiency and the terminal radiator heat exchange efficiency in sequence to obtain the effective amount of heat recovery that can actually be used for heating in the intermediate heat recovery section.

5. The multi-gradient energy-based waste heat recovery optimization management system, as claimed in claim 1, wherein, The method by which the heat recovery management unit obtains the heat recovery capacity is as follows: The total heating load demand of the heating area served by the intermediate heat recovery section and the heating heat currently satisfied in the heating area are obtained. The difference between the total heating load demand and the currently satisfied heating heat is calculated to obtain the remaining heat demand capacity of the heating area, which is the heat recovery capacity of the intermediate heat recovery section.

6. The multi-gradient based thermal energy storage optimized management system for waste heat recovery according to claim 1, wherein, The low-heat recovery management unit obtains the heat recovery amount in the following way: The inlet and outlet temperatures of the terminal heat exchanger in the low heat recovery section are collected, and the temperature drop at the end of the low heat recovery section is calculated by the difference between the inlet and outlet temperatures. The terminal heat exchange capacity of the low heat recovery section is calculated based on the terminal temperature drop, the terminal heat exchange medium flow rate, and the specific heat capacity of the medium. The heat pump system input power and coefficient of performance (COP) of the low heat recovery section are collected. The heat exchange at the terminal is multiplied by the COP and then the difference is calculated with the heat pump system input power to obtain the heat recovery amount of the low heat recovery section.

7. The waste heat recovery optimization management system based on multi-gradient energy storage according to claim 1, characterized in that, The specific method by which the multi-gradient recovery rate monitoring module calculates the final heat recovery efficiency is as follows: The effective recovery amounts of the high, medium, and low heat ranges are obtained and summed to obtain the total effective recovered heat. The total heat loss of the high, medium, and low heat ranges is obtained and summed to obtain the total input heat. The total effective recovered heat of the system is divided by the total input heat of the system to obtain the final heat recovery efficiency. If the final heat recovery efficiency is less than a set threshold, a recovery optimization signal is generated.

8. The waste heat recovery optimization management system based on multi-gradient energy storage according to claim 1, characterized in that, The dynamic gradient grading module compares the effective heat recovery amount in the middle heating section with the heat recovery capacity. If the effective heat recovery amount is greater than the heat recovery capacity, a graded optimization adjustment strategy is generated to raise the temperature boundary between the middle heating section and the low heating section, thereby reducing the total heat loss in the middle heating section. The dynamic gradient classification module calculates the heat recovery efficiency corresponding to the high-heat, medium-heat, and low-heat sections. If the heat recovery efficiency is less than a set threshold, a recovery optimization adjustment strategy is generated.

9. A waste heat recovery optimization management method based on multi-gradient energy storage, employing the waste heat recovery optimization management system based on multi-gradient energy storage as described in any one of claims 1-8, characterized in that, Includes the following steps: Step 1: Graded parameter acquisition; Step 2: Statistics on multi-gradient recycling efficiency; Step 3: Dynamic hierarchical optimization and adjustment; Step 4: Continuous recording and adaptive adjustment.

Images