Industrial waste heat recovery power generation method, system and equipment

Abstract

The present application is applicable to the technical field of industrial waste heat recovery and power generation, and in particular to industrial waste heat recovery and power generation methods, systems and equipment, the method comprising: revealing the source of waste heat by obtaining the waste heat resource information of the target plant and the waste heat generation of the target plant, which helps to quantify the overall waste heat potential. According to the waste heat resource information and the waste heat generation of the target plant, the potential waste heat power generation capacity of the target plant is determined, and the quality and quantity of various types of waste heat are comprehensively considered to determine the total amount of waste heat that can theoretically be converted into electrical energy. Based on the potential waste heat power generation capacity of the target plant and the power load model of the target plant, a set of sophisticated power load simulation and control strategies are formulated. According to the power load simulation and control strategy of the target plant, the target plant is controlled to recover and generate electricity and dynamically control the power load, so as to realize the intelligent management of waste heat power generation, ensure the efficient use of resources, and have efficient and flexible adaptability.

Description

Technical Field

[0001] The present application belongs to the technical field of industrial waste heat recovery and power generation, and in particular relates to an industrial waste heat recovery and power generation method, system and equipment. Background Art

[0002] Waste heat recovery is an energy-saving technology designed to capture and reuse waste heat that would otherwise be lost in industrial production processes. This waste heat can originate from combustion processes, machine operation, cooling systems, process heat exchange, and other processes, and its temperature ranges from low to high. Effective waste heat recovery not only reduces energy consumption and operating costs, but also alleviates the burden on the environment, making it a key measure for achieving sustainable development goals.

[0003] Currently, the regulation and control of many industrial waste heat recovery systems still relies heavily on manual operation and experience-based judgment. This dependence reduces the timeliness and accuracy of regulation and increases the risk of misoperation. Compared with other advanced manufacturing fields, it lacks efficient and flexible adaptability, which limits the dynamic optimization and utilization of waste heat resources. Summary of the Invention

[0004] The embodiments of the present application provide an industrial waste heat recovery power generation method, system and equipment, which can solve the problem of limited dynamic optimization utilization of waste heat resources due to the lack of efficient and flexible adaptability in the industrial waste heat recovery power generation process.

[0005] In a first aspect, an embodiment of the present application provides an industrial waste heat recovery power generation method, comprising:

[0006] Obtaining waste heat resource information of a target plant and the waste heat generation of the target plant; wherein the waste heat generation of the target plant includes waste heat from each production link, and the waste heat resource information is used to reflect the waste heat source of the target plant;

[0007] determining a potential waste heat power generation capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant;

[0008] Determining a simulation control strategy for the target plant's electricity load based on the target plant's potential waste heat power generation capacity and the target plant's electricity load model; wherein the electricity load model is used to reflect fluctuations in the target plant's electricity demand during different time periods;

[0009] According to the power load simulation control strategy of the target plant, the target plant is controlled to recover power and dynamically control the power load.

[0010] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0011] The industrial waste heat recovery and power generation method provided in the embodiment of the present application reveals the source of waste heat by obtaining the waste heat resource information of the target plant and the waste heat generation of the target plant, which helps to quantify the overall waste heat potential. According to the waste heat resource information and the waste heat generation of the target plant, the potential waste heat power generation capacity of the target plant is determined, and the quality and quantity of various types of waste heat are comprehensively considered to determine the total amount of waste heat that can be converted into electrical energy in theory. Based on the potential waste heat power generation capacity of the target plant and the power load model of the target plant, a set of sophisticated power load simulation and control strategies are formulated. According to the power load simulation and control strategy of the target plant, the target plant is recycled for power generation and the power load is dynamically controlled to realize the intelligent management of waste heat power generation, ensure the efficient use of resources, and have efficient and flexible adaptability.

[0012] In a second aspect, an embodiment of the present application provides an industrial waste heat recovery power generation system, comprising:

[0013] an acquisition unit, configured to acquire waste heat resource information and waste heat generation of the target factory; wherein the waste heat generation of the target factory includes waste heat from each production link, and the waste heat resource information is used to reflect the source of waste heat of the target factory;

[0014] a determination unit, configured to determine a potential waste heat power generation capacity of a target plant based on waste heat resource information and waste heat generation of the target plant;

[0015] A simulation unit is used to determine a simulated control strategy for the target plant's electricity load based on the target plant's potential waste heat power generation capacity and the target plant's electricity load model; wherein the electricity load model is used to reflect the target plant's electricity demand fluctuations at different time periods;

[0016] The power generation unit is used to control the target plant to recover power and dynamically regulate the power load according to the target plant's power load simulation control strategy.

[0017] In a third aspect, an embodiment of the present application provides an industrial waste heat recovery power generation device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any one of the above aspects when executing the computer program.

[0018] It can be understood that the beneficial effects of the second to third aspects mentioned above can be found in the relevant descriptions of the above aspects and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0020] Figure 1 This is a flow chart of an industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0021] Figure 2 This is a flow chart of step S200 in the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0022] Figure 3 This is a partial flow diagram of step S210 of the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0023] Figure 4 This is a partial flow diagram of step S210 of the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0024] Figure 5 1 is a flow chart of step S300 of the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0025] Figure 6 1 is a flow chart of step S310 of the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0026] Figure 7 1 is a flow chart of step S313 of the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0027] Figure 8 This is a partial flow diagram of step S320 of the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0028] Figure 9 This is a partial flow diagram of step S320 of the industrial waste heat recovery power generation method provided in one embodiment of the present application;

[0029] Figure 10 This is a structural diagram of an industrial waste heat recovery power generation system provided by an embodiment of the present application;

[0030] Figure 11 It is a structural schematic diagram of an industrial waste heat recovery power generation equipment provided in one embodiment of the present application. DETAILED DESCRIPTION

[0031] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0032] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0033] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0034] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0035] In addition, in the description of this application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0036] References to "one embodiment" or "some embodiments" in this specification mean that a particular feature, structure, or characteristic described in conjunction with that embodiment is included in one or more embodiments of the present application. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0037] Currently, the regulation and control of many industrial waste heat recovery systems still relies heavily on manual operation and experience-based judgment. This dependence reduces the timeliness and accuracy of regulation and increases the risk of misoperation. Compared with other advanced manufacturing fields, it lacks efficient and flexible adaptability, which limits the dynamic optimization and utilization of waste heat resources.

[0038] In order to solve the above problems, the embodiments of the present application provide an industrial waste heat recovery and power generation method, system and equipment. In this method, by obtaining the waste heat resource information of the target plant and the waste heat generation of the target plant, the source of the waste heat is revealed, which helps to quantify the overall waste heat potential. According to the waste heat resource information and the waste heat generation of the target plant, the potential waste heat power generation capacity of the target plant is determined, and the quality and quantity of various types of waste heat are comprehensively considered to determine the total amount of waste heat that can theoretically be converted into electrical energy. Based on the potential waste heat power generation capacity of the target plant and the power load model of the target plant, a set of sophisticated power load simulation and control strategies are formulated. According to the power load simulation and control strategy of the target plant, the target plant is recycled for power generation and the power load is dynamically controlled to realize the intelligent management of waste heat power generation, ensure the efficient use of resources, and have efficient and flexible adaptability.

[0039] The industrial waste heat recovery and power generation method provided in the embodiment of the present application can be applied to terminal equipment. In this case, the terminal equipment is the executor of the industrial waste heat recovery and power generation method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of terminal equipment.

[0040] For example, the terminal device can be a desktop computer, a smart screen, a smart TV, a handheld device with wireless communication function, a computing device, a computer, a laptop computer, etc.

[0041] In order to better understand the industrial waste heat recovery and power generation method provided in the embodiment of the present application, the specific implementation process of the industrial waste heat recovery and power generation method provided in the embodiment of the present application is exemplarily introduced below.

[0042] Figure 1 A schematic flow chart of an industrial waste heat recovery power generation method provided in an embodiment of the present application is shown. The industrial waste heat recovery power generation method includes:

[0043] S100, obtaining waste heat resource information and waste heat generation of the target factory; wherein the waste heat generation of the target factory includes waste heat in each production link, and the waste heat resource information is used to reflect the waste heat source of the target factory.

[0044] As will be understood, waste heat resource information details each source of waste heat, including but not limited to process equipment emissions (such as boiler and furnace exhaust), cooling water systems, heat dissipation from equipment casings, and steam condensate. Thermal imagers, flow meters, temperature sensors, and other tools can be used to measure the temperature, flow rate, and heat output of each heat source, establishing a detailed thermal energy database of waste heat resource information. Waste heat resource information also includes the precise measurement and recording of each source's characteristics (such as temperature, pressure, flow rate, and duration), as these parameters directly impact the selection and efficiency of waste heat recovery technologies. The waste heat generation of a target plant refers to both the waste heat already generated and the potential amount yet to be generated. Existing waste heat can be calculated by installing monitoring instruments such as thermometers, flow meters, and pressure gauges at key heat source locations, recording the heat medium in real time or periodically. The generated waste heat can then be calculated using a pre-set algorithm using thermodynamic formulas such as Q = mcΔT (where Q is heat, m is mass, c is specific heat capacity, and ΔT is temperature difference). The potential amount yet to be generated can be estimated based on the waste heat already generated and the time over which each waste heat source has generated it. Waste heat resource information is used to identify all potential waste heat generation points in the production process, including combustion processes, industrial furnaces, steam systems, engine exhaust, and cooling water circulation. For each heat source, relevant thermophysical parameters are measured, such as the temperature, flow rate, pressure, and enthalpy of the exhaust gas or liquid. These parameters form the basis for calculating waste heat.

[0045] S200 , determining the potential waste heat power generation capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant.

[0046] It can be understood that potential waste heat sources can be classified into three categories based on waste heat resource information: high temperature, medium temperature, and low temperature. High-temperature waste heat (such as above 400°C) is suitable for direct power generation, while medium and low temperature waste heat (below 400°C) needs to be recycled and utilized through different thermoelectric conversion technologies (such as organic Rankine cycle, absorption refrigeration, etc.). For each heat source point, the waste heat generated by the heat source is quantified. This includes measuring parameters such as the temperature, flow rate, pressure, and time duration of the heat source. The thermoelectric conversion efficiency of different waste heat sources can be pre-evaluated, and a mapping relationship table based on the heat source can be established. The thermoelectric conversion efficiency of the corresponding waste heat source can be determined by identifying different waste heat resource information. High-temperature waste heat can usually be efficiently converted into electricity through steam turbines or gas turbines, while medium and low temperature waste heat requires less efficient cogeneration or heat pump technology. Based on the conversion efficiency of the preset heat-to-electricity conversion device and the quantified waste heat, the potential waste heat power generation capacity of each heat source in the target plant can be determined. The sum of the potential waste heat power generation capacity of all heat sources can be calculated through algorithms or mapping rules to obtain the potential waste heat power generation capacity of the target plant.

[0047] In one possible implementation, the waste heat generated includes the high-temperature waste heat component that has been generated and can be directly used for power generation, see Figure 2S200 determines the potential waste heat power generation capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant, including:

[0048] S210 , obtaining a first potential power output capacity and a second potential power output capacity of the target plant according to the waste heat resource information and the waste heat generation of the target plant; wherein the first potential power output capacity and the second potential power output capacity are different.

[0049] It can be understood that the first type of power output capacity refers to the power output directly converted from high-temperature waste heat. Since high-temperature waste heat (e.g., above 400°C) can directly drive steam turbines or gas turbines for efficient power generation, this type of power output capacity is often high, with high technological maturity and good economic efficiency. For example, high-temperature exhaust gases and waste heat from high-temperature process fluids in industrial production can be directly and efficiently converted into electricity through traditional thermodynamic cycles. The second type of power output capacity refers to the power conversion capacity of medium- and low-temperature waste heat. Due to its relatively low temperature, this waste heat cannot be directly used for steam turbine power generation. Therefore, relatively low-efficiency technologies such as the Organic Rankine Cycle (ORC), absorption refrigeration-coupled power generation, thermocouple power generation, or heat pump systems that elevate the temperature to generate electricity are required. While these technologies may not be as efficient as high-temperature waste heat utilization, they can cover a wider range of waste heat resources and increase the overall waste heat recovery rate, and are therefore considered supplementary or secondary power output channels.

[0050] Optionally, see Figure 3 In step S210, based on the waste heat resource information and the waste heat generation of the target plant, the potential first power output capacity of the target plant is obtained, including:

[0051] S211 , determining the high-temperature heat of the high-temperature waste heat components generated in each production link of the target plant that can be directly used for power generation based on the waste heat resource information and the waste heat generation amount of the target plant.

[0052] It can be understood that the amount of waste heat generated is information obtained from monitoring each production link of the target factory. Therefore, it is possible to determine the various temperature levels of waste heat generated in each production link of the target factory. The waste heat of the target factory can be pre-classified into temperature levels. Temperature levels above a certain preset temperature that can be directly used for power generation are classified as high-temperature waste heat, while temperatures below the preset temperature that cannot be directly used for power generation are classified as low-temperature waste heat. By classifying the temperature levels and monitoring the waste heat generated at each link, it is possible to clearly calculate the high-temperature heat component of the high-temperature waste heat generated in each production link of the target factory that can be directly used for power generation.

[0053] S212 , obtaining a potential first electric energy output capacity based on the high-temperature heat amount and the high-temperature heat conversion efficiency of the high-temperature waste heat component.

[0054] It can be understood that the first power output capacity includes the power output capacity of the high-temperature waste heat that has actually been generated and the potential power output capacity of the high-temperature waste heat that is about to be generated. Based on the high-temperature heat and time data of the high-temperature waste heat components that can be directly used for power generation that have been generated in each production link of the target factory through calculation, the relationship between the change of the high-temperature waste heat that is about to be generated and time can be predicted through preset mathematical calculations or statistical methods. Based on the relationship between the change of high-temperature waste heat and time and the value of the preset high-temperature heat conversion efficiency, the power output capacity of the waste heat that has actually been generated and the potential power output capacity of the high-temperature waste heat that is about to be generated, that is, the first power output capacity, can be calculated in the form of a set algorithm or mapping relationship. High-temperature heat conversion efficiency refers to the ability to convert thermal energy into electrical energy under given technical conditions, reflecting the efficiency percentage that can be converted theoretically, and is fixed when the power generation device is designed.

[0055] Optionally, see Figure 4 In step S210, the potential second power output capacity of the target plant is obtained based on the waste heat resource information and the waste heat generation of the target plant, including:

[0056] S213 , identifying and classifying the waste heat sources of the target plant based on the waste heat resource information and the waste heat generation of the target plant.

[0057] It can be understood that based on the waste heat resource information and the target plant's waste heat generation, all possible waste heat generation links, such as combustion exhaust, process equipment cooling water, steam emissions, and engine exhaust, can be identified. Different temperature levels can be preset to identify and categorize the target plant's waste heat sources. For example, low-temperature waste heat sources, medium-temperature waste heat sources, and high-temperature waste heat sources. Different waste heat sources generate different amounts of high-temperature waste heat that can be directly recovered for power generation.

[0058] S214, matching the recoverable potential of the waste heat sources at each temperature level according to the waste heat sources of the target plant; wherein the recoverable potential is used to reflect the ability of the waste heat sources at each temperature level to generate high-temperature waste heat components.

[0059] It can be understood that the temperature level and specific source of the waste heat source can be determined based on the waste heat source of the target factory. The temperature level and the source of the waste heat can be mapped to obtain a conversion value through a preset mapping relationship table. The conversion value is fixed when the power generation device is designed. It represents the proportion of the waste heat components that can be utilized in the waste heat generated by a certain level of waste heat source, that is, the recoverable potential of the waste heat sources at each temperature level.

[0060] S215 , obtaining a potential second electric energy output capacity based on the recoverable potential of the waste heat source at each temperature level and the thermoelectric conversion efficiency at each temperature level.

[0061] It can be understood that after completing the preliminary classification and recovery potential evaluation of the waste heat sources at various temperature levels of the target factory, based on the waste heat generated at each temperature level excluding the high-temperature heat source and time data, the relationship between the waste heat at each temperature level excluding the high-temperature heat source and time can be predicted through preset mathematical calculations or statistical methods. According to the relationship between the waste heat at each temperature level excluding the high-temperature heat source and time and the thermoelectric conversion efficiency of the heat sources at each temperature level, the relationship between the power output and time can be obtained. By integrating the relationship between the power output and time, the potential second power output capacity of the waste heat sources at each temperature level excluding the high-temperature heat source after considering the specific conversion technology efficiency is obtained.

[0062] S220: Determine the potential waste heat power generation capacity of the target plant based on the sum of the potential first power output capacity and the second power output capacity.

[0063] It's understandable that after evaluating both the "First Power Output Capacity" and "Second Power Output Capacity," the target plant's potential WHP capacity can be more comprehensively determined by taking the sum of the two as the total WHP capacity. This comprehensive capacity considers both theoretical maximum potential and practical technical limitations, providing a more realistic and reliable power generation forecast for WHP projects.

[0064] S300, based on the target plant's potential waste heat power generation capacity and the target plant's power load model, determine a target plant's power load simulation control strategy; wherein the power load model is used to reflect the target plant's power demand fluctuations at different time periods.

[0065] It's understandable that a power load model can be pre-established to analyze the potential changes in power demand during different production cycles (such as daily operations, weekends, and holidays) and different time periods (peak, off-peak, and off-peak). A power load model is a mathematical model used to describe and predict the changing patterns of power consumption by power users (such as industrial, commercial, or residential users) over different time periods. Power load exhibits certain periodic and random characteristics over time, such as daily, weekly, and annual load curves. The model must be able to capture these time series characteristics. Model development methods include trend analysis, seasonal decomposition, and autoregressive integrated moving average (ARIMA) models. Building a power load model involves analyzing historical power consumption data to identify patterns in load fluctuations and specific demand. Based on historical data, a power load model can estimate power load for specific time periods in the future. This includes short-term load forecasting (hours to days), medium-term forecasting (weeks to months), and long-term forecasting (years or more). Combining the potential waste heat power generation capacity with the power load model can assess the amount of power that can be provided by waste heat power generation during different time periods. A dynamic load adjustment mechanism can be designed to adjust the factory's regular power consumption based on real-time waste heat power generation. For example, when waste heat generation is plentiful, priority is given to using surplus power to meet the factory's non-critical load needs. When waste heat generation is insufficient, the use of internal and external power sources is rationally coordinated, and algorithmic optimization is used to achieve real-time matching of power supply and demand, improving energy efficiency. Based on the real-time status of waste heat resources and power load model predictions, a detailed power load simulation and control strategy is determined. This involves using algorithms or mapping relationships to determine how waste heat generation should be allocated in relation to the factory's own power needs during different time periods, maximizing waste heat resource utilization and reducing reliance on external power.

[0066] In one possible implementation, see Figure 5 S300 determines the target plant's electricity load simulation control strategy based on the target plant's potential waste heat power generation capacity and the target plant's power load model, including:

[0067] S310, generating simulated load data of the target plant based on the potential waste heat power generation capacity of the target plant and the power load model of the target plant; wherein the simulated load data is used to simulate the real-time operating conditions of the power load of the target plant.

[0068] It can be understood that the simulated load data of the target plant can be generated by mathematically simulating the real-time power consumption of the plant under different circumstances. Combining the waste heat power generation potential and the power load model, the power demand of the plant under various conditions can be simulated. By analyzing historical data and applying methods such as trend analysis and seasonal decomposition, a power load model can be constructed to predict the changes in the power demand of the plant in different time periods (such as weekdays, weekends, and holidays) to form a power demand curve. The power load model is a mathematical model used to describe and predict the changes in power consumption of power users (such as industrial, commercial or residential users) in different time periods. The power load shows a certain periodicity and randomness over time, such as the daily load curve, weekly load curve and annual load curve.

[0069] Optionally, see Figure 6 , S310, based on the potential waste heat power generation capacity of the target plant and the power load model of the target plant, generate simulated load data of the target plant, including:

[0070] S311 : Determine a power demand curve of the target plant within a preset time period based on a power load model of the target plant.

[0071] As you can understand, a power load model is a mathematical model used to describe and predict the changing patterns of power consumption by power users (such as industrial, commercial, or residential users) over different time periods. Power loads exhibit a certain degree of periodicity and randomness over time, as evidenced by daily, weekly, and annual load curves. Based on the power load model, statistical algorithms can be used to analyze and determine the changes in power demand for a plant during different time periods (such as weekdays, weekends, and holidays), creating a power demand curve that reflects the periodicity and randomness of the load.

[0072] S312: Obtain the current energy storage level of the energy storage device of the target plant.

[0073] It is understood that the real-time status of the energy storage device can be obtained and understood to facilitate subsequent energy scheduling. The current storage capacity of the energy storage device (such as a battery energy storage system) can be obtained by connecting to the real-time monitoring and recording system of the energy storage device.

[0074] S313 , generating simulated load data of the target plant based on the current energy storage level of the energy storage device of the target plant, the power demand curve, and the potential waste heat power generation capacity.

[0075] As you can see, based on the energy storage level and waste heat power generation potential, the upper limit of a factory's self-powered capacity can be assessed. Based on the power demand curve, the time periods and amounts of additional power required from the grid can be analyzed to form an external load demand curve. Combining internal load capacity and external load demand, simulated load data can be generated to reflect the factory's power supply and demand under different scenarios. Simulated load data reflects the power relationship between the target factory and its internal and external power sources.

[0076] For example, see Figure 7 S313 generates simulated load data for the target plant based on the current energy storage level of the target plant's energy storage device, the power demand curve, and the potential waste heat power generation capacity, including:

[0077] S3131, determining the internal load capacity of the target plant based on the current energy storage level and potential waste heat power generation capacity of the energy storage device of the target plant.

[0078] It's easy to understand that the target plant's self-sufficiency, or internal load capacity, can be determined by adding the current energy storage level of an energy storage device (e.g., a battery pack) to its potential waste heat power generation capacity. By combining the energy storage device's contribution with waste heat power generation capacity, the plant's self-sufficient power demand range can be assessed under different operating conditions.

[0079] S3132, based on the internal load capacity and power demand curve of the target plant, determine the external load demand curve of the target plant; wherein the external load demand curve is used to reflect the external power supply demand of the target plant.

[0080] As can be understood, internal load capacity refers to the maximum power demand that a factory can meet with minimal or no reliance on the external grid, relying on the current energy storage level of its own energy storage devices and waste heat power generation capacity. This includes an analysis of the current state of the energy storage devices, the expected output of the waste heat power generation facilities, and the effectiveness of the two working together. The external load demand curve is developed based on the comprehensive analysis of the information from the first two steps. It reveals how much additional power the factory needs to purchase from the external grid to meet its full demand if internal resources are insufficient. The internal load capacity curve is compared with the power demand curve to identify gaps. These gaps represent periods when the factory needs to supplement its power supply from external sources. At each point in time or time period, the portion of the factory's power supply that is insufficiently covered by internal load capacity is calculated, representing the external load demand. Based on these calculations, a curve is plotted to reflect the time-varying external power demand. This curve illustrates the factory's reliance on external grid power at different points in time, including emergency demand during peak periods and supplementary demand during off-peak periods.

[0081] S3133: Generate simulated load data of the target plant based on the external load demand curve of the target plant.

[0082] As can be understood, based on the target plant's external load demand curve, a pre-set mathematical calculation method is used to determine the target plant's load demand at each moment from the curve, thereby obtaining simulated load data for the target plant at each moment. This simulated load data reflects the relationship between the internal and external power of the target plant. An appropriate statistical model can be selected or constructed to calculate the statistical characteristics of the simulated load data to reflect the external load demand. Based on the above analysis, model parameters are set, such as analysis period, trend, and random fluctuation. The selected model is then used to generate time series data reflecting daily or hourly external load conditions.

[0083] S320: Determine a power load simulation control strategy for the target plant based on the simulated load data of the target plant.

[0084] It is understood that by analyzing simulated load data, various stages of external power demand can be identified. In-depth analysis of simulated load data can identify load characteristics, peak and valley periods, and potential optimization space. Based on the analysis results, specific control strategies and implementation plans can be mapped.

[0085] Optionally, see Figure 8 , S320, determining the target plant's power load simulation control strategy based on the target plant's simulated load data, including:

[0086] S321: Determine internal and external power supply control data of the target factory based on the simulated load data of the target factory.

[0087] It can be understood that the simulated factory load data is deeply analyzed, including load peaks, valley periods, and the matching of internal and external loads. Based on the analysis results, it is determined when the factory can rely on internal power generation to meet the load and when external power supply is needed. A threshold is set. For example, when the load data is below 0 for a long time, it means that the internal power supply capacity is stronger than the internal load. Load forecasting is performed based on the simulated load data and its statistical characteristics in the preset time period. According to the average simulated load data and statistical characteristics of each preset time period, the time period with the average simulated load data less than 0 and the variance less than the threshold is regarded as 1, and other cases are regarded as -1. A discrete internal and external power supply control function is constructed, and the internal and external power supply control data is obtained.

[0088] S322: Determine a power load simulation control strategy for the target factory based on the internal and external power supply control data of the target factory.

[0089] It can be understood that the main power load supply within a preset time period can be determined based on the internal and external power supply control data of the target factory. When the preset time period of the internal and external power supply control data is a positive value, it means that the internal supply capacity within the preset time period can fully serve as the main power supply source for the target factory. When the preset time period of the internal and external power supply control data is a negative value, it means that the internal supply capacity within the preset time period cannot fully serve as the main power supply source for the target factory. According to this relationship, according to the internal and external power supply control data of the target factory, it can be determined whether to use internal power supply (recycled power) or external power as the main power supply means in different time periods to regulate the power consumption of the target factory. The internal and external power supply control data can be used to set the main power supply of the target factory to internal power supply when the internal and external power supply control data is positive, otherwise it is always set to external power supply. This can effectively ensure that when the power generation and energy storage levels reach a certain level, the internal power supply is enabled as the main power supply source for the target factory, effectively utilizing resources, and ensuring the stability of the internal power supply when it is the main power supply means.

[0090] Optionally, see Figure 9 S320, determining a target plant's power load simulation control strategy based on the target plant's simulated load data, further comprising:

[0091] S323 , drawing a charge and discharge curve of the energy storage device of the target plant based on the simulated load data of the target plant.

[0092] As you can see, simulated load data can be used to predict the charging and discharging behavior of energy storage devices (such as battery energy storage systems) over different time periods. This requires a comprehensive consideration of historical load patterns, predicted load fluctuations, and energy storage efficiency.

[0093] S324 , identifying key charging and discharging nodes of the energy storage device based on the charging and discharging curve of the energy storage device.

[0094] It is understandable that analyzing the charge and discharge curves and identifying the turning points of charge and discharge—that is, when charging begins, when charging stops and turns to discharge, and when discharging ends and charging resumes—are crucial for optimizing energy storage utilization.

[0095] S325 , determining a power load simulation control strategy for the energy storage device of the target factory based on the key charging and discharging nodes.

[0096] As you can understand, analyzing charge and discharge curves and identifying turning points—that is, when charging begins, when charging stops and discharges, and when discharging ends and charging resumes—are crucial for optimizing energy storage utilization. Predicting the charging and discharging behavior of energy storage devices (such as battery energy storage systems) over different time periods can be achieved through a variety of methods, combining techniques such as time series analysis and physical models. 1. ARIMA (Autoregressive Integrated Moving Average) Time Series Analysis Method: It is suitable for processing time series data with trends and seasonality. By analyzing past data series, a model is built to predict future charging and discharging patterns.

[0097] State-space models: such as Kalman filters, are suitable for dynamic systems containing noise, can handle uncertainty and errors, and are suitable for predicting the dynamic behavior of energy storage systems as time and external conditions change.

[0098] S400: Control the target plant to recover and generate electricity and dynamically regulate the electricity load according to the target plant's power load simulation regulation strategy.

[0099] As can be understood, control strategies can be distributed to the target factory's energy management system, enabling remote monitoring and real-time adjustment of installed high-efficiency waste heat recovery devices, such as heat exchangers and waste heat boilers. This captures the heat energy from high-temperature exhaust gases and waste liquids generated during the production process and converts it into steam or hot water, which in turn drives turbines or generators to generate electricity. Automated control technologies, such as SCADA (Supervisory Control and Data Acquisition) systems, can be employed to enable remote monitoring and real-time adjustment of waste heat power generation equipment and power consumers. Thresholds and trigger conditions can be set for power control to ensure that when the waste heat supply is sufficient, waste heat power generation is automatically increased for internal use or fed back to the grid, while reducing power load when the supply decreases. Dynamic scheduling can be implemented, simulating control strategies based on power load, flexibly storing and reusing recovered energy for power generation to maintain a balance between power supply and demand. Through this series of steps, the target factory can maximize the utilization of waste heat resources for power generation and optimize power usage while ensuring production efficiency, achieving efficient and flexible energy utilization.

[0100] Corresponding to the industrial waste heat recovery power generation method of the above embodiment, the embodiment of the present application also provides an industrial waste heat recovery power generation system, and each unit of the system can implement each step of the industrial waste heat recovery power generation method. Figure 10 A structural block diagram of an industrial waste heat recovery power generation system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0101] Reference Figure 10 , the industrial waste heat recovery power generation system includes:

[0102] an acquisition unit, configured to acquire waste heat resource information and waste heat generation of the target factory; wherein the waste heat generation of the target factory includes waste heat from each production link, and the waste heat resource information is used to reflect the source of waste heat of the target factory;

[0103] a determination unit, configured to determine a potential waste heat power generation capacity of a target plant based on waste heat resource information and waste heat generation of the target plant;

[0104] A simulation unit is used to determine a simulated control strategy for the target plant's electricity load based on the target plant's potential waste heat power generation capacity and the target plant's electricity load model; wherein the electricity load model is used to reflect the target plant's electricity demand fluctuations at different time periods;

[0105] The power generation unit is used to control the target plant to recover power and dynamically regulate the power load according to the target plant's power load simulation control strategy.

[0106] It should be noted that the information interaction, execution process, etc. between the above-mentioned systems / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0107] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit module can exist physically alone, or two or more unit modules can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0108] The present application also provides an industrial waste heat recovery power generation device, Figure 11 This is a schematic diagram of the structure of an industrial waste heat recovery power generation device provided in one embodiment of the present application. Figure 11 As shown, the industrial waste heat recovery power generation equipment 6 of this embodiment includes: at least one processor 60 ( Figure 11 Only one is shown), at least one memory 61 ( Figure 11Only one is shown) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the industrial waste heat recovery power generation equipment 6 implements the steps of any of the above-mentioned industrial waste heat recovery power generation method embodiments, or the industrial waste heat recovery power generation equipment 6 implements the functions of each unit in the above-mentioned system embodiments.

[0109] For example, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to implement the present application. The one or more units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 62 in the industrial waste heat recovery power generation equipment 6.

[0110] The industrial waste heat recovery power generation device 6 can be a desktop computer, a smart screen, a smart TV, a handheld device with wireless communication function, a computing device, a computer, a laptop computer, etc. The industrial waste heat recovery power generation device can include, but is not limited to, a processor 60 and a memory 61. It can be understood by those skilled in the art that Figure 11 It is only an example of the industrial waste heat recovery power generation equipment 6 and does not constitute a limitation on the industrial waste heat recovery power generation equipment 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0111] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor may be a microprocessor or any conventional processor.

[0112] In some embodiments, the memory 61 may be an internal storage unit of the industrial waste heat recovery power generation equipment 6, such as a hard disk or memory of the industrial waste heat recovery power generation equipment 6. In other embodiments, the memory 61 may also be an external storage device of the industrial waste heat recovery power generation equipment 6, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the industrial waste heat recovery power generation equipment 6. Furthermore, the memory 61 may also include both an internal storage unit and an external storage device of the industrial waste heat recovery power generation equipment 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0113] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0114] An embodiment of the present application provides a computer program product. When the computer program product is run on a terminal device, the terminal device implements the steps of any of the above method embodiments.

[0115] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include at least: any entity or device capable of carrying the computer program code to the terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electric carrier signal, a telecommunication signal and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0116] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0117] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0118] In the embodiments provided in the present application, it should be understood that the disclosed industrial waste heat recovery power generation system / industrial waste heat recovery power generation equipment and method can be implemented in other ways. For example, the industrial waste heat recovery power generation system / industrial waste heat recovery power generation equipment embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, systems or units, which can be electrical, mechanical or other forms.

[0119] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0120] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. An industrial waste heat recovery power generation method, characterized in that: include: Obtaining waste heat resource information of a target plant and the waste heat generation of the target plant; wherein the waste heat generation of the target plant includes waste heat from each production link, and the waste heat resource information is used to reflect the waste heat source of the target plant; determining a potential waste heat power generation capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant; Determining a simulation control strategy for the target plant's electricity load based on the target plant's potential waste heat power generation capacity and the target plant's electricity load model; wherein the electricity load model is used to reflect fluctuations in the target plant's electricity demand during different time periods; Controlling the target plant to recover power and dynamically regulate the power load according to the power load simulation regulation strategy of the target plant; The waste heat generation includes waste heat components that have been generated and can be directly used for power generation. Determining the potential waste heat power generation capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant includes: obtaining a first potential power output capacity and a second potential power output capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant; wherein the first potential power output capacity and the second potential power output capacity are different; determining a potential waste heat power generation capacity of the target plant based on the sum of the first potential power output capacity and the second potential power output capacity; Obtaining a potential first electric energy output capacity of the target plant according to the waste heat resource information and the waste heat generation of the target plant, including: Determining the amount of waste heat generated in each production link of the target plant that can be directly used for power generation based on the waste heat resource information and the waste heat generation of the target plant; Obtaining a potential first electrical energy output capacity based on the heat amount and heat conversion efficiency of the waste heat component; Obtaining a potential second electric energy output capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant, including: identifying and classifying the waste heat sources of the target plant based on the waste heat resource information and the waste heat generation of the target plant; Matching the recovery potential of the waste heat source at each temperature level according to the waste heat source of the target plant; wherein the recovery potential is used to reflect the ability of the waste heat source at each temperature level to generate waste heat components; According to the recoverable potential of the waste heat source at each temperature level and the thermoelectric conversion efficiency at each temperature level, a potential second electric energy output capacity is obtained.

2. The industrial waste heat recovery power generation method according to claim 1, characterized in that: The determining of the target plant's power load simulation control strategy based on the target plant's potential waste heat power generation capacity and the target plant's power load model includes: generating simulated load data of the target plant based on the potential waste heat power generation capacity of the target plant and the power load model of the target plant; wherein the simulated load data is used to simulate the real-time operating conditions of the power load of the target plant; According to the simulated load data of the target plant, a power load simulation control strategy of the target plant is determined.

3. The industrial waste heat recovery power generation method according to claim 2, characterized in that: The generating of simulated load data of the target plant based on the potential waste heat power generation capacity of the target plant and the power load model of the target plant includes: Determining a power demand curve of the target plant within a preset time period based on a power load model of the target plant; Obtaining a current energy storage level of an energy storage device of the target plant; Simulated load data of the target plant is generated according to the current energy storage level of the energy storage device of the target plant, the power demand curve, and the potential waste heat power generation capacity.

4. The industrial waste heat recovery power generation method according to claim 3, characterized in that: Generating simulated load data of the target plant based on the current energy storage level of the energy storage device of the target plant, the power demand curve, and the potential waste heat power generation capacity includes: determining an internal load capacity of the target plant based on the current energy storage level of the energy storage device of the target plant and the potential waste heat power generation capacity; Determining an external load demand curve of the target plant based on the internal load capacity of the target plant and the power demand curve; wherein the external load demand curve is used to reflect the external power supply demand of the target plant; According to the external load demand curve of the target plant, simulated load data of the target plant is generated.

5. The industrial waste heat recovery power generation method according to claim 4, characterized in that: The step of determining a simulated control strategy for the power load of the target plant according to the simulated load data of the target plant includes: Determining internal and external power supply control data of the target factory based on the simulated load data of the target factory; Determining a power load simulation control strategy for the target factory based on the internal and external power supply control data of the target factory; And / or, determining the power load simulation control strategy of the target plant based on the simulated load data of the target plant further includes: Drawing a charge and discharge curve of the energy storage device of the target plant according to the simulated load data of the target plant; Identifying key charge and discharge nodes of the energy storage device based on the charge and discharge curve of the energy storage device; Based on the key charging and discharging nodes, a power load simulation control strategy for the energy storage device of the target factory is determined.

6. An industrial waste heat recovery power generation system, characterized in that: include: an acquisition unit, configured to acquire waste heat resource information and waste heat generation of the target factory; wherein the waste heat generation of the target factory includes waste heat from each production link, and the waste heat resource information is used to reflect the source of waste heat of the target factory; a determination unit, configured to determine a potential waste heat power generation capacity of a target plant based on waste heat resource information and waste heat generation of the target plant; A simulation unit is used to determine a simulated control strategy for the target plant's electricity load based on the target plant's potential waste heat power generation capacity and the target plant's electricity load model; wherein the electricity load model is used to reflect the target plant's electricity demand fluctuations at different time periods; The power generation unit is used to recover power from the target plant and dynamically regulate the power load according to the target plant's power load simulation control strategy; The waste heat generation includes waste heat components that have been generated and can be directly used for power generation. Determining the potential waste heat power generation capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant includes: obtaining a first potential power output capacity and a second potential power output capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant; wherein the first potential power output capacity and the second potential power output capacity are different; determining a potential waste heat power generation capacity of the target plant based on the sum of the first potential power output capacity and the second potential power output capacity; Obtaining a potential first electric energy output capacity of the target plant according to the waste heat resource information and the waste heat generation of the target plant, including: Determining the amount of waste heat generated in each production link of the target plant that can be directly used for power generation based on the waste heat resource information and the waste heat generation of the target plant; Obtaining a potential first electrical energy output capacity based on the heat amount and heat conversion efficiency of the waste heat component; Obtaining a potential second electric energy output capacity of the target plant based on the waste heat resource information and the waste heat generation of the target plant, including: identifying and classifying the waste heat sources of the target plant based on the waste heat resource information and the waste heat generation of the target plant; Matching the recovery potential of the waste heat source at each temperature level according to the waste heat source of the target plant; wherein the recovery potential is used to reflect the ability of the waste heat source at each temperature level to generate waste heat components; According to the recoverable potential of the waste heat source at each temperature level and the thermoelectric conversion efficiency at each temperature level, a potential second electric energy output capacity is obtained.

7. An industrial waste heat recovery power generation device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

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