Data processing method and device

Abstract

The invention relates to a data processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a gas environment parameter set, an initial runner structure parameter set and a material attribute data set; the gas environment parameter set represents the waste heat recovery requirement; optimizing the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set and the material attribute data set to obtain a flow channel structure parameter set of the waste heat recovery device, and determining the total heat exchange area of the waste heat recovery device; the flow channel structure parameter set and the total heat exchange area are used for manufacturing the waste heat recovery device. By adopting the method, the manufacturing efficiency of the waste heat recovery device can be improved.

Description

Technical Field

[0001] This application relates to the technical field of energy utilization, and particularly to a data processing method, apparatus, computer device, computer-readable storage medium, and computer program product. Background Art

[0002] In the technical field of energy utilization, in order to improve energy utilization efficiency, a data processing method is required to manufacture a waste heat recovery device, so as to recover the waste heat generated by a waste heat generating device according to the waste heat recovery device, and reuse the recovered waste heat.

[0003] In the current data processing method, designers initially determine a set of flow channel structure parameters and the total heat transfer area of the waste heat recovery device according to human experience, and manufacture the waste heat recovery device according to the set of flow channel structure parameters and the total heat transfer area. Then, manually adjust the structure of the waste heat recovery device according to the waste heat recovery requirements until the structure of the waste heat recovery device meets the waste heat recovery requirements, and the waste heat recovery device is obtained.

[0004] However, in the current data processing method, it is difficult and time-consuming to manually adjust the structure of the physical waste heat recovery device, resulting in low efficiency in manufacturing the waste heat recovery device. Summary of the Invention

[0005] Based on this, it is necessary to provide a data processing method, apparatus, computer device, computer-readable storage medium, and computer program product for the above technical problems.

[0006] In a first aspect, this application provides a data processing method, including:

[0007] Obtain a set of gas environment parameters, a set of initial flow channel structure parameters, and a set of material property data; the set of gas environment parameters characterizes the waste heat recovery requirements;

[0008] Optimize the set of initial flow channel structure parameters according to a pressure drop algorithm, the set of gas environment parameters, and the set of material property data to obtain a set of flow channel structure parameters of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device; the set of flow channel structure parameters and the total heat transfer area are used to manufacture the waste heat recovery device.

[0009] In one of the embodiments, the optimizing the set of initial flow channel structure parameters according to a pressure drop algorithm, the set of gas environment parameters, and the set of material property data to obtain a set of flow channel structure parameters of the waste heat recovery device, and determining the total heat transfer area of the waste heat recovery device includes:

[0010] Perform data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to the pressure drop algorithm and the total heat transfer area algorithm to obtain the initial gas pressure drop and the initial total heat transfer area of the waste heat recovery device;

[0011] Judge whether the initial gas pressure drop meets the preset gas pressure drop condition;

[0012] In the case where the initial gas pressure drop does not meet the gas pressure drop condition, update the initial flow channel structure parameter set according to the initial gas pressure drop, and perform the step of performing data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to the pressure drop algorithm and the total heat transfer area algorithm until the initial gas pressure drop meets the gas pressure drop condition;

[0013] Determine the initial total heat transfer area as the total heat transfer area of the waste heat recovery device, and determine the initial flow channel structure parameter set as the flow channel parameter structure set of the waste heat recovery device.

[0014] In one embodiment, the performing data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to the pressure drop algorithm and the total heat transfer area algorithm to obtain the initial gas pressure drop and the initial total heat transfer area of the waste heat recovery device includes:

[0015] Determine the gas resistance coefficient and the gas Nusselt number of the gas in the waste heat recovery device according to the gas environment parameter set and the initial flow channel structure parameter set;

[0016] Perform data processing on the gas Nusselt number, the gas environment parameter set, and the material property data set according to the total heat transfer area algorithm to obtain the initial total heat transfer area;

[0017] Calculate the initial gas pressure drop of the waste heat recovery device based on the gas pressure drop algorithm, the gas resistance coefficient, and the flow channel structure parameter set.

[0018] In one embodiment, the determining the gas resistance coefficient and the gas Nusselt number of the gas in the waste heat recovery device according to the gas environment parameter set and the initial flow channel structure parameter set includes:

[0019] Determine the initial flow channel equivalent diameter according to the initial flow channel structure parameter set, and determine the Reynolds number of the gas flow based on the gas environment parameter set and the initial flow channel structure parameter set;

[0020] Determine the gas resistance coefficient of the gas in the waste heat recovery device according to the Reynolds number and the resistance coefficient algorithm;

[0021] Determine the gas Nusselt number of the gas in the waste heat recovery device based on the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the gas resistance coefficient, and the Reynolds number.

[0022] In one embodiment, the initial flow channel structure parameter set includes the initial flow channel length and the baffle wall temperature. The determining the gas Nusselt number of the gas in the waste heat recovery device based on the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the gas resistance coefficient, and the Reynolds number includes:

[0023] Determine whether the Reynolds number is less than a preset Reynolds number threshold;

[0024] If the Reynolds number is less than the Reynolds number threshold, determine a preset Nusselt number value as the gas Nusselt number of the gas in the waste heat recovery device;

[0025] If the Reynolds number is greater than or equal to the Reynolds number threshold, determine the gas temperature on the baffle wall of the core and the Prandtl number of the gas based on the gas environment parameter set;

[0026] Calculate the gas Nusselt number of the gas in the waste heat recovery device according to the initial flow channel length, the initial flow channel equivalent diameter, the gas resistance coefficient, the baffle wall temperature, the gas temperature on the baffle wall of the core, and the Prandtl number.

[0027] In one embodiment, the data processing of the gas Nusselt number, the gas environment parameter set, and the material property data set according to the total heat transfer area algorithm to obtain the initial total heat transfer area includes:

[0028] Determine the heat release of the flue gas and the logarithmic mean temperature difference according to the gas environment parameter set;

[0029] Determine the gas heat transfer coefficient between the gas and the baffle according to the gas baffle heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt number, and perform data processing on the gas heat transfer coefficient and the material property data set according to the total heat transfer coefficient algorithm to obtain the total heat transfer coefficient;

[0030] Perform data processing on the logarithmic mean temperature difference, the heat release of the flue gas, and the total heat transfer coefficient according to the total heat transfer area algorithm to obtain the initial total heat transfer area.

[0031] In one embodiment, the gas environment parameter set includes the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, the air outlet temperature, the flue gas flow rate, the flue gas outlet pressure, and the flue gas inlet pressure. The determining the heat release of the flue gas and the logarithmic mean temperature difference according to the gas environment parameter set includes:

[0032] According to the flue gas heat release algorithm, perform data operations on the flue gas flow rate, the flue gas outlet pressure, and the flue gas inlet pressure to obtain the flue gas heat release;

[0033] Based on the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, and the air outlet temperature, determine the maximum temperature difference and the minimum temperature difference;

[0034] According to the logarithmic mean temperature difference algorithm, perform data operations on the maximum temperature difference and the minimum temperature difference to obtain the logarithmic mean temperature difference.

[0035] In one embodiment, the determining the gas heat transfer coefficient between the gas and the baffle according to the gas baffle heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt number includes:

[0036] Query the thermal conductivity of the gas according to the gas environment parameter set;

[0037] Perform data processing on the thermal conductivity and the gas Nusselt number according to the gas baffle heat transfer coefficient algorithm to obtain the gas heat transfer coefficient between the gas and the baffle.

[0038] In one embodiment, the gas resistance coefficient includes an air resistance coefficient and a flue gas resistance coefficient, the initial gas pressure drop includes an air pressure drop and a flue gas pressure drop, the gas pressure drop algorithm includes a flue gas pressure drop algorithm and an air pressure drop algorithm, the initial flow channel structure parameter set includes an initial flow channel length, and the calculating the initial gas pressure drop of the waste heat recovery device based on the gas pressure drop algorithm, the gas resistance coefficient, and the flow channel structure parameter set includes:

[0039] Determine the initial flow channel equivalent diameter according to the initial flow channel structure parameter set,

[0040] Perform data processing on the initial flow channel equivalent diameter, the initial flow channel length, the air flow velocity, and the air resistance coefficient according to the air pressure drop algorithm to obtain the air pressure drop of the waste heat recovery device;

[0041] Based on the flue gas pressure drop algorithm, perform data processing on the initial flow channel equivalent diameter, the initial flow channel length, the flue gas flow velocity, and the flue gas resistance coefficient to obtain the flue gas pressure drop of the waste heat recovery device.

[0042] In a second aspect, the present application also provides a data processing device, including:

[0043] An acquisition module, configured to acquire a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement;

[0044] An optimization module, configured to optimize the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set, and the material property data set, obtain a flow channel structure parameter set of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

[0045] In a third aspect, the present application further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0046] Obtain a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement;

[0047] Optimize the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set, and the material property data set, obtain a flow channel structure parameter set of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

[0048] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0049] Obtain a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement;

[0050] Optimize the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set, and the material property data set, obtain a flow channel structure parameter set of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

[0051] In a fifth aspect, the present application further provides a computer program product, including a computer program. When the computer program is executed by a processor, the following steps are implemented:

[0052] Obtain a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement;

[0053] Optimize the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set, and the material property data set, obtain a flow channel structure parameter set of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

[0054] The above data processing method, device, computer device, computer-readable storage medium, and computer program product obtain a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement; optimize the initial flow channel structure parameter set according to the pressure drop algorithm, the gas environment parameter set, and the material property data set to obtain a flow channel structure parameter set of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device. By using this method, through the pressure drop algorithm and the gas environment parameter set characterizing the waste heat recovery requirement, the initial flow channel structure parameter set is automatically optimized to obtain the flow channel structure parameter set and the total heat transfer area of the waste heat recovery device, and based on the flow channel structure parameter set and the total heat transfer area, a waste heat recovery device that meets the waste heat recovery requirement can be quickly manufactured, avoiding physically adjusting the waste heat recovery device, improving the efficiency of determining the parameters of the waste heat recovery device, and further improving the manufacturing efficiency of the waste heat recovery device. Description of the Drawings

[0055] To more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0056] Figure 1 It is a schematic flowchart of the data processing method in one embodiment;

[0057] Figure 2 It is a schematic flowchart of optimizing the initial flow channel structure parameter set in one embodiment;

[0058] Figure 3 It is a schematic flowchart of calculating the gas pressure drop in one embodiment;

[0059] Figure 4 It is a schematic flowchart of determining the gas Nusselt number and the gas resistance coefficient in one embodiment;

[0060] Figure 5 It is a schematic flowchart of determining the gas Nusselt number in one embodiment;

[0061] Figure 6 It is a schematic flowchart of determining the initial total heat transfer area in one embodiment;

[0062] Figure 7 It is a schematic flowchart of determining the logarithmic mean temperature difference in one embodiment;

[0063] Figure 8 Schematic flow chart for determining the gas heat transfer coefficient in one embodiment;

[0064] Figure 9 Schematic flow chart for calculating the flue gas pressure drop and air pressure drop in one embodiment;

[0065] Figure 10 Design flow chart of the waste heat recovery device in an exemplary embodiment;

[0066] Figure 11 Schematic structural diagram of the waste heat recovery device in one embodiment;

[0067] Figure 12a Schematic diagram of the air flow structure of the high-temperature waste heat recovery device in one embodiment;

[0068] Figure 12b Schematic diagram of the flue gas flow structure of the high-temperature waste heat recovery device in one embodiment;

[0069] Figure 13 Schematic internal structure diagram of the high-temperature waste heat recovery device in one embodiment;

[0070] Figure 14 Schematic diagram of the fin structure of the waste heat recovery device in one embodiment;

[0071] Figure 15 Block diagram of the structure of the data processing device in one embodiment;

[0072] Figure 16 Internal structure diagram of the computer device in one embodiment. Detailed implementation manners

[0073] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0074] At present, there are still major problems in the utilization of the energy industry, such as low utilization efficiency, poor economic benefits, and great ecological environment pressure. Energy conservation and emission reduction, reduction of energy consumption, and improvement of the comprehensive utilization rate of energy, as important contents of the energy development strategic plan, are the fundamental ways to solve energy problems. Achieving the goals of energy conservation and emission reduction and improving energy utilization efficiency mainly rely on the industrial field. In countries in the middle and late stages of industrialization, industry is the main energy-consuming field and also the main source of pollutant emissions. At present, the energy consumption in the industrial field accounts for about 70% of the total national energy consumption, and the unit energy consumption of major industrial products is on average about 30% higher than the international advanced level. In addition to factors such as relatively backward production processes and unreasonable industrial structures, the low utilization rate of industrial waste heat and the lack of full comprehensive utilization of energy (energy) are important reasons for high energy consumption. At present, the energy utilization rate is only about 33%, about 10% lower than that of developed countries, and at least 50% of industrial energy consumption is directly wasted in the form of various waste heats. From another perspective, the industrial waste heat resources in the industrial field are rich and widely exist in the production processes of various industries. The waste heat resources account for 17% to 67% of the total fuel consumption, of which the recoverable rate reaches 60%. There is great room for improving the waste heat utilization rate and huge energy-saving potential. The recovery and utilization of industrial waste heat is considered a kind of "new energy" and has become an important content of promoting energy conservation and emission reduction work in recent years.

[0075] Waste heat resources belong to secondary energy, which are the products after the conversion of primary energy or combustible materials, or the remaining heat after the heat generated during the fuel combustion process has completed a certain technological process. According to the temperature grade, industrial waste heat is generally divided into three types: high-temperature waste heat above 600°C (degrees Celsius), medium-temperature waste heat between 300°C and 600°C, and low-temperature waste heat below 300°C; according to the source, industrial waste heat can also be divided into: flue gas waste heat, slag waste heat, cooling medium waste heat, chemical reaction heat, waste steam and waste water waste heat, high-temperature products, combustible waste gas, and waste material waste heat.

[0076] The flue gas has a large amount of residual heat, a wide temperature distribution range, accounting for more than 50% of the total industrial waste heat resources, and is distributed in industries such as metallurgy, building materials, machinery, chemical engineering, and power generation. It is the exhaust gas from various smelting furnaces, heating furnaces, internal combustion engines, and boilers. The residual heat of the flue gas in some industrial kilns is even as high as 30% to 60% of the fuel consumption of the kiln itself. It has great energy-saving potential and is the main object of waste heat utilization. The waste heat of the cooling medium refers to the waste heat carried away by cooling media such as air, water, and oil in industrial production to protect high-temperature production equipment or meet the cooling requirements of the process flow. Most of it belongs to medium- and low-temperature waste heat, and the amount of waste heat accounts for 20% of the total industrial waste heat resources. The waste heat of wastewater and waste steam is a kind of low-grade steam or condensate waste heat, accounting for about 10% to 16% of the total waste heat resources. The waste heat of chemical reactions accounts for less than 10% of the total waste heat resources and mainly exists in the chemical industry. The waste heat of high-temperature products and slag mainly refers to the sensible heat of billets, coke, molten slag, etc., and the sensible heat of oil and gas products in the petrochemical industry. The waste heat of combustible waste gas and waste materials refers to the exhaust gas, drainage, and slag discharge in the production process containing combustible components, such as blast furnace gas and converter gas in the metallurgical industry.

[0077] Although the sources of waste heat resources are extensive, the temperature range is wide, and the forms of existence are diverse, from the perspective of waste heat utilization, waste heat resources generally have the following common points: Due to the periodicity, intermittency, or production fluctuations in the process production process, there are problems such as unstable waste heat quantity and poor properties of waste heat media in the current waste heat. For example, the flue gas contains a large amount of dust or corrosive substances. Moreover, the process production process also has certain restrictions on the waste heat utilization device. For example, the waste heat utilization device is restricted by the inherent conditions such as the site of the process production process and the original production. Therefore, the operating environment of the industrial waste heat resource utilization system or equipment is relatively harsh, requiring a wide and stable operating range, being able to adapt to the changing production process requirements, having high reliability of equipment components, and high initial investment costs. From an economic perspective, it is necessary to combine the process production for the overall design and layout of the system, comprehensively utilize energy, and improve the efficiency of the waste heat utilization system devices and equipment.

[0078] Therefore, the efficient recovery and utilization of flue gas waste heat has become a major issue in energy conservation and environmental protection. In order to achieve the efficient recovery and utilization of waste heat, it is necessary to manufacture a waste heat recovery device through data processing methods, so as to recover the waste heat generated by the waste heat generation device according to the waste heat recovery device and reuse the recovered waste heat.

[0079] In the current data processing method, designers initially determine the set of flow channel structure parameters and the total heat transfer area of the waste heat recovery device according to human experience, and manufacture the waste heat recovery device according to the set of flow channel structure parameters and the total heat transfer area. Then, manually adjust the structure of the waste heat recovery device according to the waste heat recovery requirements until the structure of the waste heat recovery device meets the waste heat recovery requirements, and obtain the waste heat recovery device.

[0080] However, in the current data processing method, it is difficult and time-consuming to manually adjust the structure of the physical waste heat recovery device, resulting in low efficiency in manufacturing the waste heat recovery device.

[0081] Based on the above traditional technology, the present application provides a data processing method. Through a pressure drop algorithm and a set of gas environment parameters characterizing waste heat recovery requirements, the initial flow channel structure parameter set is automatically optimized to obtain the flow channel structure parameter set and the total heat transfer area of the waste heat recovery device. And based on the flow channel structure parameter set and the total heat transfer area, a waste heat recovery device meeting the waste heat recovery requirements can be quickly manufactured, avoiding the adjustment of the waste heat recovery device and improving the efficiency of manufacturing the waste heat recovery device.

[0082] In one embodiment, as Figure 1 shown, a data processing method is provided. In this embodiment of the present application, the case where this method is applied to a computer device is taken as an example for illustration. The embodiment of the present application does not limit the execution device of the data processing method, and includes the following steps 102 to step 104:

[0083] Step 102, obtain a set of gas environment parameters, an initial flow channel structure parameter set, and a material property data set.

[0084] Among them, the set of gas environment parameters characterizes the waste heat recovery requirements. The material property data set contains various property data of the materials for manufacturing the waste heat recovery device.

[0085] In implementation, the computer device obtains the set of gas environment parameters according to the attribute information of the waste heat generation device and the attribute information of the waste heat utilization device. At the same time, the computer device obtains the initial flow channel structure parameter set according to the flow channel structure parameter template. Then, the computer device obtains the material property data set.

[0086] Specifically, when the waste heat generation device generates waste heat, the waste heat is transmitted to the waste heat recovery device in the form of flue gas. The waste heat recovery requirement is the flue gas recovery requirement. At the same time, the waste heat recovery device increases the temperature of the air based on the waste heat of the flue gas, facilitating the subsequent waste heat utilization device to utilize the high-temperature air. The computer device obtains the flue gas inlet pressure, flue gas inlet temperature, flue gas outlet pressure, flue gas outlet temperature, flue gas flow rate, flue gas outlet enthalpy value, flue gas inlet enthalpy value, air inlet pressure, air inlet temperature, air outlet pressure, air outlet temperature, air inlet enthalpy value, air outlet enthalpy value, and air flow rate. The computer device constructs a flue gas environment parameter set according to the flue gas inlet pressure, flue gas inlet temperature, flue gas outlet pressure, flue gas outlet temperature, flue gas flow rate, flue gas inlet enthalpy value, and flue gas outlet enthalpy value. Then, the computer device constructs an air environment parameter set according to the air inlet pressure, air inlet temperature, air outlet pressure, air outlet temperature, air inlet enthalpy value, air outlet enthalpy value, and air flow rate. The flue gas environment parameter set and the air environment parameter set characterize the heat exchange requirements of the physical form of the waste heat recovery device. The computer device combines the flue gas environment parameter set and the air environment parameter set to obtain a gas environment parameter set.

[0087] A flow channel structure parameter template is preset in the computer device. Then, the computer device obtains each initial flow channel structure parameter according to the flow channel parameter template and combines each initial flow channel structure parameter to obtain an initial flow channel structure parameter set. Among them, each initial flow channel structure parameter includes an initial single flow channel width, an initial fin height, an initial fin wall thickness, an initial flow channel length, an initial partition thickness, an initial total number of flow channels, and a partition wall surface temperature. Then, the computer device obtains the air thermal resistance, the flue gas thermal resistance, and the partition heat conduction coefficient, and constructs a material property data set according to the air thermal resistance, the flue gas thermal resistance, and the partition heat conduction coefficient.

[0088] In an exemplary embodiment, the waste heat recovery device includes various flow channels. It should be noted that the manufactured waste heat recovery device needs to receive the flue gas generated by the waste heat generation device and obtain air from the atmospheric environment. The flue gas carries heat into the waste heat recovery device. Since there are different waste heat generation devices (for example, boilers or gas engines), and the conditions of the flue gas generated by different waste heat generation devices are different, the attribute information of each waste heat generation device is different. After the waste heat recovery device obtains the flue gas carrying heat, it exchanges heat between the air and the flue gas and inputs the air into the waste heat utilization device. Different waste heat utilization devices have different standards for obtaining air. Therefore, the computer device obtains the attribute information of the waste heat generation device, the attribute information of the waste heat utilization device, and the atmospheric information. Among them, the attribute information of the waste heat generation device includes the flue gas inlet pressure, the flue gas inlet temperature, and the flue gas inlet enthalpy value. The atmospheric information includes the air inlet pressure, the air inlet temperature, and the air inlet enthalpy value. The attribute information of the waste heat utilization device includes the flue gas outlet pressure, the flue gas outlet temperature, the flue gas outlet enthalpy value, the air outlet pressure, the air outlet temperature, and the air outlet enthalpy value. Then, the computer device obtains the air flow rate and the flue gas flow rate, and constructs a gas environment parameter set based on the air flow rate, the flue gas flow rate, the atmospheric information, the attribute information of the waste heat generation device, and the attribute information of the waste heat utilization device.

[0089] The computer device obtains the flow channel structure parameter template from the database. Among them, the flow channel structure parameter template includes the flow channel structure parameter ranges of each candidate flow channel structure parameter. The computer device determines the initial flow channel structure parameter within the flow channel structure parameter range of each candidate flow channel structure parameter. For example, the candidate flow channel structure parameter is the candidate single flow channel width. The computer device determines the initial single flow channel width within the single flow channel width range of the candidate single flow channel width. Then, the computer device constructs an initial flow channel structure parameter set based on each initial flow channel structure parameter.

[0090] The computer device obtains the air thermal resistance, the flue gas thermal resistance, and the partition heat transfer coefficient, and constructs a material property data set based on the air thermal resistance, the flue gas thermal resistance, and the partition heat transfer coefficient. Among them, the air thermal resistance is the thermal resistance between the air in the flow channel and the partition, and the flue gas thermal resistance is the thermal resistance between the flue gas in the flow channel and the partition. The partition heat transfer coefficient is the partition heat transfer coefficient of the partition of the waste heat recovery device.

[0091] In an optional embodiment, the computer device displays a runner structure parameter template. The runner structure parameter template includes the runner structure parameter ranges of each candidate runner structure parameter. In response to the user's action of triggering a candidate runner structure parameter, the computer device displays the runner structure parameter range of the triggered candidate runner structure parameter. The target user determines the initial runner structure parameters within the runner structure parameter range of the candidate runner structure parameter and submits the initial runner structure parameters. The computer device obtains the initial runner structure parameters submitted by the user and combines the initial runner structure parameters to obtain an initial runner structure parameter set.

[0092] In an exemplary embodiment, Table 1 shows the flue gas components and physical parameters generated by a waste heat generation device in an exemplary embodiment.

[0093] Table 1

[0094]

[0095] In Table 1 above, the flue gas components include H2O (water) and N2 (nitrogen). The temperatures of water and nitrogen are both 485 K (Kelvins). The pressures of water and nitrogen are both 0.102325 MPa (megapascals, a unit of pressure). The density of water is 0.45933 kg / m 3 (kilograms per cubic meter), and the density of nitrogen is 0.73457 kg / m 3 , the proportion of water in the flue gas is 14.9% (percent sign), and the proportion of nitrogen in the flue gas is 85.1%.

[0096] Table 2 shows the input conditions of the flue gas and air input to the waste heat recovery device in an exemplary embodiment, which are also part of the gas environment parameters in the gas environment parameter set.

[0097] Table 2

[0098]

[0099] Among them, in Table 2 above, the flue gas input temperature is 780 K, the flue gas inlet pressure is 30,000 Pa, the flue gas outlet temperature is 481 K, the flue gas outlet pressure is 10,000 Pa, and the flue gas mass flow rate (flue gas flow rate) is 500 kg / h (kilograms per hour).

[0100] In an optional embodiment, the computer device obtains a gas environment parameter set. The gas environment parameter set includes the flue gas outlet temperature and the flue gas inlet temperature. The computer device determines the flue gas temperature based on the flue gas outlet temperature and the flue gas inlet temperature. Then, the computer device determines the material for manufacturing the waste heat recovery device from the initial materials according to the flue gas temperature and obtains the material property data set of the material. Specifically, if the flue gas temperature When the temperature is below 600K, aluminum alloy materials can be used. For example, 3003 aluminum alloy; the flue gas temperature is 600K < When the temperature is < 900K, ordinary stainless steel materials can be used. Among them, the ordinary stainless steel materials can be but are not limited to 304 stainless steel or 316L stainless steel (a super-low carbon austenitic stainless steel); the flue gas temperature is 900K < When the temperature is < 1200K, high-temperature resistant stainless steel materials or titanium alloy materials can be used. Among them, the high-temperature resistant stainless steel materials can be but are not limited to 321 stainless steel (an austenitic stainless steel); the titanium alloy materials can be but are not limited to TA15 titanium alloy (a high-performance engineering material).

[0101] Optionally, the gas environment parameter set also includes the attribute data of the flue gas and the attribute data of the air. The attribute data of the flue gas includes the flue gas composition, temperature, pressure, density, and the proportion of each component. The attribute data of the air includes the temperature, pressure, and density of the air.

[0102] Step 104, optimize the initial flow channel structure parameter set according to the pressure drop algorithm, the gas environment parameter set, and the material attribute data set to obtain the flow channel structure parameter set of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device.

[0103] Among them, the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

[0104] In implementation, gas pressure drop conditions are preset in the computer device. The computer device performs data processing on the gas environment parameter set, the material attribute data set, and the initial flow channel structure parameter set according to the pressure drop algorithm and the total heat transfer area algorithm to obtain the initial gas pressure drop and the initial total heat transfer area of the waste heat recovery device. Then, the computer device determines whether the initial gas pressure drop meets the gas pressure drop conditions to obtain a first judgment result. The computer device determines the flow channel structure parameter set and the total heat transfer area of the waste heat recovery device according to the first judgment result, the initial flow channel structure parameter set, and the initial total heat transfer area.

[0105] Specifically, if the first judgment result is that the initial gas pressure drop does not meet the gas pressure drop conditions, the computer device optimizes the initial flow channel structure parameter set according to the initial gas pressure drop and the gas pressure drop conditions, and executes the step of performing data operations on the gas environment parameter set, the optimized initial flow channel structure parameter set, and the material attribute data set according to the pressure drop algorithm and the total heat transfer area algorithm until the initial gas pressure drop meets the gas pressure drop conditions. Then, the computer device determines the optimized initial flow channel structure parameter set as the flow channel structure parameter set of the waste heat recovery device, and determines the initial total heat transfer area as the heat transfer total area of the waste heat recovery device.

[0106] In the above data processing method, the initial flow channel structure parameter set is automatically optimized through the pressure drop algorithm and the gas environment parameter set representing the waste heat recovery requirement, to obtain the flow channel structure parameter set and the total heat transfer area of the waste heat recovery device. Based on the flow channel structure parameter set and the total heat transfer area, a waste heat recovery device meeting the waste heat recovery requirement can be quickly manufactured, avoiding physically adjusting the waste heat recovery device, improving the efficiency of determining the parameters of the waste heat recovery device, and further improving the manufacturing efficiency of the waste heat recovery device.

[0107] In an exemplary embodiment, as Figure 2 shown, the specific processing procedure of step 104 includes steps 202 to 208. Among them:

[0108] Step 202, perform data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to the pressure drop algorithm and the total heat transfer area algorithm, to obtain the initial gas pressure drop and the initial total heat transfer area of the waste heat recovery device.

[0109] In implementation, the computer device determines the gas resistance coefficient and the gas Nusselt number of the gas in the waste heat recovery device according to the gas environment parameter set and the initial flow channel structure parameter set. Then, the computer device determines the initial total heat transfer area of the waste heat recovery device according to the total heat transfer area algorithm, the gas environment parameter set, and the material property data set. Then, the computer device determines the initial gas pressure drop of the waste heat recovery device according to the gas pressure drop algorithm, the gas resistance coefficient, and the flow channel structure parameter set. Among them, in the heat transfer at the fluid boundary (surface), the Nusselt number (Nu) is the ratio of the convective heat across the boundary to the conductive heat. The gas resistance coefficient is a dimensionless parameter used in the field of fluid mechanics to describe the resistance characteristics of an object when moving in a gas.

[0110] Step 204, determine whether the initial gas pressure drop meets the preset gas pressure drop condition.

[0111] In implementation, the gas pressure drop condition is preset in the computer device. Since the gas includes flue gas and air. Therefore, the gas pressure drop condition includes the flue gas pressure drop condition and the air pressure drop condition, and the initial gas pressure drop includes the initial flue gas pressure drop and the initial air pressure drop. The computer device determines whether the initial air pressure drop meets the air pressure drop condition and determines whether the initial flue gas pressure drop meets the flue gas pressure drop condition. If the initial flue gas pressure drop does not meet the flue gas pressure drop condition and / or the initial air pressure drop does not meet the air pressure drop condition, the computer device determines that the initial gas pressure drop does not meet the gas pressure drop condition. If the initial flue gas pressure drop meets the flue gas pressure drop condition and the initial air pressure drop meets the air pressure drop condition, the computer device determines that the initial gas pressure drop meets the gas pressure drop condition.

[0112] Specifically, gas pressure drop conditions are preset in the computer device. Among them, the gas pressure drop conditions are the flue gas pressure drop range and the air pressure drop range. The computer device determines whether the initial air pressure drop is within the air pressure drop range and determines whether the initial flue gas pressure drop is within the flue gas pressure drop range. If the initial air pressure drop is within the air pressure drop range and the initial flue gas pressure drop is within the flue gas pressure drop range, the computer device determines that the initial gas pressure drop meets the gas pressure drop conditions. If the initial air pressure drop is not within the air pressure drop range and / or the initial flue gas pressure drop is not within the flue gas pressure drop range, the computer device determines that the initial gas pressure drop does not meet the gas pressure drop conditions.

[0113] In an alternative embodiment, when the initial gas pressure drop meets the gas pressure drop conditions, the computer device determines the initial total heat transfer area as the total heat transfer area of the waste heat recovery device. At the same time, the computer device determines the initial set of flow channel structure parameters as the set of flow channel structure parameters. The user manufactures the waste heat recovery device according to the total heat transfer area and the set of flow channel structure parameters.

[0114] Step 206, when the initial gas pressure drop does not meet the gas pressure drop conditions, update the initial set of flow channel structure parameters according to the initial gas pressure drop, and perform the steps of performing data operations on the gas environment parameter set, the initial set of flow channel structure parameters, and the material property data set according to the pressure drop algorithm and the total heat transfer area algorithm until the initial gas pressure drop meets the gas pressure drop conditions.

[0115] In practice, when the initial gas pressure drop does not meet the gas pressure drop conditions, the computer device updates the initial set of flow channel structure parameters according to the relationship between the initial gas pressure drop and the gas pressure drop conditions. Then, the computer device executes the above step 202 based on the updated initial set of flow channel structure parameters until the initial gas pressure drop meets the gas pressure drop conditions. Among them, the specific processing process of step 202 has been elaborated in detail in the above embodiments, and will not be repeated in the embodiments of the present application.

[0116] Specifically, the gas pressure drop condition is a gas pressure drop range. The gas pressure drop range includes a maximum gas pressure drop threshold and a minimum gas pressure drop threshold. Since the gas includes flue gas and air, the gas pressure drop range includes a flue gas pressure drop range and an air pressure drop range. The flue gas pressure drop range includes a maximum flue gas pressure drop threshold and a minimum flue gas pressure drop threshold. The air pressure drop range includes a maximum air pressure drop threshold and a minimum air pressure drop threshold. If the initial flue gas pressure drop exceeds the maximum flue gas pressure drop threshold and / or the initial air pressure drop exceeds the maximum air pressure drop threshold, the computer device adjusts the initial set of flow channel structure parameters to increase the equivalent diameter of the initial flow channel. Optionally, the adjustment method can be, but is not limited to, increasing the initial width of a single flow channel and the initial fin height. If the initial flue gas pressure drop is less than the minimum flue gas pressure drop threshold and / or the initial air pressure drop is less than the minimum air pressure drop threshold, the computer device adjusts the initial set of flow channel structure parameters to decrease the equivalent diameter of the initial flow channel. Optionally, the adjustment method can be, but is not limited to, decreasing the initial width of a single flow channel and the initial fin height. Then, the computer device executes step 202 above based on the updated initial set of flow channel structure parameters until the initial gas pressure drop meets the gas pressure drop condition.

[0117] Step 208, determine the initial total heat transfer area as the total heat transfer area of the waste heat recovery device, and determine the initial set of flow channel structure parameters as the flow channel parameter structure set of the waste heat recovery device.

[0118] In implementation, the computer device determines the initial total heat transfer area as the total heat transfer area of the waste heat recovery device. At the same time, the computer device determines the initial set of flow channel structure parameters as the flow channel structure parameter set of the waste heat recovery device. The computer device displays the total heat transfer area and the flow channel structure parameter set of the waste heat recovery device so that the user can manufacture the waste heat recovery device based on the total heat transfer area and the flow channel structure parameter set of the waste heat recovery device.

[0119] In an exemplary embodiment, the computer device determines the initial total heat transfer area as the total heat transfer area of the waste heat recovery device. At the same time, the computer device determines the initial set of flow channel structure parameters as the flow channel structure parameter set of the waste heat recovery device. Then, the computer device constructs an attribute data set of the waste heat recovery device according to the gas environment parameter set, the flow channel structure parameter set, the total heat transfer area, the gas resistance coefficient, and the gas Nusselt number. Table 3 is an attribute data table of the waste heat recovery device in an embodiment.

[0120] Table 3

[0121]

[0122] In Table 3 above, the flue gas inlet temperature is 780 K, and the flue gas outlet temperature is 481 K. The flue gas inlet pressure is 30000 Pa, and the flue gas outlet pressure is 12940 Pa. The flue gas mass flow rate (flue gas flow rate) is 0.139 kg / s (kilograms per second, the unit of mass flow velocity). The air inlet temperature is 293 K, and the air outlet temperature is 473 K. The air inlet pressure is 20000 Pa, and the air outlet pressure is 12821 Pa. The air mass flow rate (air flow rate) is 0.278 kg / s. The logarithmic mean temperature difference is 179.6. The widths of both the flue gas channel and the air channel are 1 mm (millimeters), and the heights are both 2 mm. Also, the equivalent diameter of the flue gas channel and the air channel is 1.33 mm, the fin thickness is 0.3 mm, the partition thickness is 0.3 mm, and the flow channel length is 500 mm. The material of the waste heat recovery device determined according to the flue gas inlet temperature, flue gas outlet temperature, air inlet temperature, and air outlet temperature is 316L stainless steel. The Reynolds number Re (Reynolds number) of the flue gas inlet fluid is 1127.6, the Reynolds number of the flue gas outlet fluid is 1526.3, the Reynolds number Re of the air inlet fluid is 4243.8, and the Reynolds number of the air outlet fluid is 2965.4. The thermal conductivity of the flue gas inlet fluid is 56.4 mW / (m·K) (milliwatts per meter per kelvin, indicating that the heat transferred per meter length and per kelvin temperature change is in milliwatts), the Reynolds number of the flue gas outlet fluid is 38.1 mW / (m·K), the thermal conductivity of the air inlet fluid is 25.5 mW / (m·K), and the Reynolds number of the air outlet fluid is 37.6 mW / (m·K). The resistance coefficient f (f represents the resistance coefficient) of the flue gas inlet is 0.054984, the Reynolds number of the flue gas outlet fluid is 0.04062, the resistance coefficient f of the air inlet is 0.040607, and the Reynolds number of the air outlet fluid is 0.04567262. The heat transfer coefficient of the flue gas is 119.91 (W / (m 2 ·K)) (watts per square meter per kelvin, the unit of heat transfer coefficient), the heat transfer coefficient of the air is 279.94 (W / (m 2 ·K)), the fouling resistance of the flue gas is 0.00088, the fouling resistance of the air is 0.000176, the pressure drop of the flue gas is 17060.8 Pa, the pressure drop of the air is 6179.2 Pa, the overall heat transfer coefficient is 76.92 (W / (m 2 ·K)), the required heat transfer area (total heat transfer area) is 3.95 m 2 (square meters), and the dimensions of the waste heat recovery device are 600 mm × 600 mm × 400 mm.

[0123] In this embodiment, based on the initial gas pressure drop and the initial total heat transfer area of the waste heat recovery device, and based on the relationship between the initial gas pressure drop and the gas pressure drop condition, the initial flow channel structure parameter set is updated to obtain a flow channel structure parameter set that meets the gas pressure drop requirement. Based on this flow channel structure parameter set and the total heat transfer area, a waste heat recovery device that meets the waste heat recovery requirements can be directly manufactured, avoiding physically adjusting the waste heat recovery device and improving the efficiency of manufacturing the waste heat recovery device.

[0124] In an exemplary embodiment, as Figure 3 shown, the specific processing procedure of step 202 includes steps 302 to 306. Among them:

[0125] Step 302, according to the gas environment parameter set and the initial flow channel structure parameter set, determine the gas resistance coefficient and the gas Nusselt number of the gas in the waste heat recovery device.

[0126] In implementation, the computer device determines the Reynolds number of the gas flow channel according to the initial flow channel structure parameter and the gas environment parameter set. Among them, the Reynolds number is a dimensionless number that can be used to characterize the fluid flow situation. Then, the computer device determines the gas resistance coefficient of the gas in the waste heat recovery device according to the resistance coefficient algorithm and the Reynolds number. Then, the computer device determines the gas Nusselt number of the gas in the waste heat recovery device according to the gas environment parameter, the initial flow channel structure parameter set, the gas resistance coefficient and the Reynolds number.

[0127] Specifically, the gas includes air and flue gas. The computer device determines the initial flow channel equivalent diameter of the flow channel in the waste heat recovery device based on the initial flow channel structure parameter. Then, the computer device determines the air Reynolds number of the air flow and the flue gas Reynolds number of the flue gas flow according to the gas environment parameter set and the initial flow channel structure parameter set. Then, the computer device determines the flue gas resistance coefficient and the air resistance coefficient according to the air Reynolds number, the flue gas Reynolds number and the resistance coefficient algorithm. The computer device determines the flue gas Nusselt number of the flue gas in the waste heat recovery device and the air Nusselt number of the air in the waste heat recovery device according to the gas environment parameter set, the initial flow channel structure parameter set, the gas resistance coefficient, the flue gas Reynolds number and the air Reynolds number.

[0128] Step 304, according to the total heat transfer area algorithm, perform data processing on the gas Nusselt number, the gas environment parameter set and the material property data set to obtain the total heat transfer area.

[0129] Among them, the total heat transfer area refers to the sum of the areas of all heat transfer surfaces participating in heat exchange in the waste heat recovery device.

[0130] In implementation, the computer determines the heat release of the flue gas of the waste heat recovery device according to the flue gas heat release algorithm and the gas environment parameter set. Then, the computer device determines the logarithmic mean temperature difference of the waste heat recovery device according to the logarithmic mean temperature difference algorithm and the gas environment parameter set. The computer device determines the overall heat transfer coefficient of the waste heat recovery device according to the gas baffle heat transfer coefficient algorithm, the overall heat transfer coefficient algorithm, the gas environment parameter set, the gas Nusselt number, and the material property data set. The computer device processes the logarithmic mean temperature difference, the heat release of the flue gas, and the overall heat transfer coefficient according to the overall heat transfer area algorithm to obtain the initial overall heat transfer area.

[0131] Specifically, the computer device processes the gas environment parameter set according to the flue gas heat algorithm to obtain the heat release of the flue gas of the waste heat recovery device. Then, the computer device processes the gas environment parameter set according to the logarithmic mean temperature difference algorithm to obtain the logarithmic mean temperature difference of the waste heat recovery device. The computer device determines the heat transfer coefficient between the gas and the baffle according to the gas baffle heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt coefficient. Then, the computer device processes the gas baffle heat transfer coefficient algorithm and the material property data set according to the overall heat transfer coefficient algorithm to obtain the overall heat transfer coefficient of the waste heat recovery device. The computer device performs data operations on the logarithmic mean temperature difference, the heat release of the flue gas, and the overall heat transfer coefficient according to the overall heat transfer coefficient algorithm to obtain the initial overall heat transfer area.

[0132] Step 306: Calculate the gas pressure drop of the waste heat recovery device based on the gas pressure drop algorithm, the gas resistance coefficient, and the flow channel structure parameter set.

[0133] Among them, the gas pressure drop algorithm includes the flue gas pressure drop algorithm and the air pressure drop algorithm. The gas resistance coefficient includes the air resistance coefficient and the flue gas resistance coefficient. The initial flow channel structure parameter set includes the initial single flow channel width, the initial fin height, and the initial flow channel length. The initial gas pressure drop includes the flue gas pressure drop and the air pressure drop.

[0134] In implementation, since the waste heat recovery device receives and processes flue gas and air, the gas pressure drop includes the flue gas pressure drop and the air pressure drop. The computer device determines the flue gas pressure drop of the waste heat recovery device according to the flue gas pressure drop algorithm, the flue gas resistance coefficient, and the flow channel structure parameter set. At the same time, the computer device determines the air pressure drop of the waste heat recovery device according to the air pressure drop algorithm, the air resistance coefficient, and the flow channel structure parameter set.

[0135] Specifically, the computer device determines the initial equivalent diameter of the flow channel of the waste heat recovery device based on the initial single flow channel width and the initial fin height. Then, according to the air pressure drop algorithm, the computer device performs data operations on the initial equivalent diameter of the flow channel, the initial flow channel length, the air flow velocity, and the air resistance coefficient to obtain the air pressure drop of the waste heat recovery device. At the same time, according to the flue gas pressure drop algorithm, the computer device performs data operations on the initial equivalent diameter of the flow channel, the initial flow channel length, the flue gas flow velocity, and the flue gas resistance coefficient to obtain the flue gas pressure drop of the waste heat recovery device.

[0136] In this embodiment, by performing data processing on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set through the total heat transfer area algorithm and the gas pressure drop algorithm, the automatic determination of the initial gas pressure drop and the initial total heat transfer area of the waste heat recovery device is realized, the time for determining the initial gas pressure drop and the initial total heat transfer area is reduced, and the data processing efficiency is improved.

[0137] In an exemplary embodiment, as Figure 4 shown, the specific processing process of step 302 includes steps 402 to 406. Among them:

[0138] Step 402, determine the initial equivalent diameter of the flow channel according to the initial flow channel structure parameter set, and determine the Reynolds number of the gas flow based on the gas environment parameter set and the initial flow channel structure parameter set.

[0139] Among them, the initial flow channel structure parameter set includes the initial single flow channel width, the initial fin height, and the initial flow channel length. The gas environment parameter set includes the flue gas pressure, the air pressure, the flue gas temperature, and the air temperature. And the gas environment parameter set includes the flue gas composition and physical parameters. The Reynolds number is a dimensionless number that can be used to characterize the fluid flow situation. The equivalent diameter of the flow channel is the hydraulic diameter.

[0140] In implementation, the computer device performs data operations on the initial single flow channel width and the initial fin height according to the equivalent diameter algorithm of the flow channel to obtain the initial equivalent diameter of the flow channel of the waste heat recovery device. Among them, the equivalent diameter algorithm of the flow channel is shown in the following formula (1):

[0141] (1)

[0142] Among them, in the above formula (1), is the initial equivalent diameter of the flow channel. is the single flow channel width, is the fin height. Then, the computer device performs data processing on the initial flow channel structure parameter set and the gas environment parameter set according to the Reynolds number algorithm to obtain the Reynolds number of the gas flow.

[0143] Specifically, an aerodynamic viscosity table and a flue gas dynamic viscosity table are preset in the database. The aerodynamic viscosity table contains the dynamic viscosity tables of air at different temperatures, different pressures, and different densities. The flue gas dynamic viscosity table contains the dynamic viscosity tables of flue gas at different temperatures, different pressures, and different densities.

[0144] The computer device determines the absolute pressure of the flue gas based on the flue gas pressure and determines the absolute pressure of the air based on the air pressure. The computer device determines the absolute temperature of the air according to the air temperature and determines the absolute temperature of the flue gas according to the flue gas temperature. The computer device determines the molar mass of the flue gas according to the flue gas composition and physical parameters. The computer device processes the absolute pressure of the flue gas, the absolute temperature of the flue gas, and the molar mass of the flue gas through a density algorithm to obtain the flue gas density. At the same time, the computer device processes the absolute pressure of the air, the absolute temperature of the air, and the molar mass of the air through a density algorithm to obtain the air density. The density algorithm is as shown in the following formula (2):

[0145] (2)

[0146] Wherein, in the above formula (2), is the gas density (flue gas density or air density), is the absolute pressure of the gas (absolute pressure of the flue gas or absolute pressure of the air), is the molar mass of the gas (air or flue gas), is the gas constant, is the absolute temperature of the gas (absolute temperature of the flue gas or absolute temperature of the air).

[0147] The computer device queries the dynamic viscosity of the flue gas in the database according to the absolute pressure of the flue gas and the absolute temperature of the flue gas. At the same time, the computer device queries the dynamic viscosity of the air in the database according to the absolute pressure of the air and the absolute temperature of the air. The computer device processes the initial single channel width and the initial fin height through a hydraulic diameter algorithm to determine the hydraulic diameter of the channel. Then, the computer device determines according to the initial single channel width, the initial fin height, and the flue gas flow rate, and determines the average air velocity according to the initial single channel width, the initial fin height, and the control flow rate. Then, the computer device performs a data operation on the flue gas density, the average flue gas velocity, the hydraulic diameter of the channel, and the dynamic viscosity of the flue gas through a Reynolds number algorithm to obtain the flue gas Reynolds number. The computer device performs a data operation on the air density, the average air velocity, the hydraulic diameter of the channel, and the dynamic viscosity of the air through a Reynolds number algorithm to obtain the air Reynolds number. The Reynolds number algorithm is as shown in the following formula (3):

[0148] (3)

[0149] In the above formula (3), is the gas Reynolds number (flue gas Reynolds number or air Reynolds number), is the gas density (flue gas density or air density), is the average gas velocity (average flue gas velocity or average air velocity), is the hydraulic diameter of the flow channel, is the gas dynamic viscosity (flue gas dynamic viscosity and air dynamic viscosity).

[0150] In an optional embodiment, each flow channel is included in the waste heat recovery device, and the flow channel is a rectangular flow channel. The computer device processes the initial single flow channel width and the initial fin height according to the cross-sectional area algorithm to obtain the cross-sectional area of the single flow channel. The cross-sectional area algorithm is shown in the following formula (4):

[0151] (4)

[0152] Wherein, in the above formula (4), is the initial single flow channel width, is the initial fin height. is the single cross-sectional area.

[0153] The computer device processes the initial single flow channel width and the initial fin height according to the wetted perimeter algorithm to obtain the single wetted perimeter. Among them, the wetted perimeter algorithm is shown in the following formula (5):

[0154] (5)

[0155] Wherein, in the above formula (5), is the single wetted perimeter, is the initial fin height. is the initial single flow channel width.

[0156] Then, the computer device processes the single wetted perimeter and the single cross-sectional area according to the hydraulic diameter algorithm to obtain the hydraulic diameter.

[0157] (6)

[0158] Wherein, in the above formula (6), is the hydraulic diameter (i.e., equivalent diameter), is the single wetted perimeter, is the single cross-sectional area. The computer device processes the single cross-sectional area and the air flow rate according to the average velocity algorithm to obtain the average air velocity. Then, the computer device processes the single cross-sectional area and the flue gas flow rate according to the average velocity algorithm to obtain the average flue gas velocity. The average velocity algorithm is shown in the following formula (7):

[0159] (7)

[0160] Among them, in the above formula (7), is the average gas velocity (average flue gas velocity or average flue gas velocity), is the cross-sectional area of a single unit, is the gas volume flow rate (air volume flow rate or flue gas volume flow rate).

[0161] Step 404: Determine the gas resistance coefficient of the gas in the waste heat recovery device according to the Reynolds number and the resistance coefficient algorithm.

[0162] Among them, the Reynolds number includes the flue gas Reynolds number and the air Reynolds number. The gas resistance coefficient refers to the ratio of the frictional force to the inertial force of the gas per unit flow rate in the gas pipeline. The gas resistance coefficient reflects the frictional resistance suffered by the gas when flowing in the pipeline.

[0163] In implementation, the computer device determines the flue gas resistance coefficient of the flue gas in the waste heat recovery device according to the flue gas Reynolds number and the resistance coefficient algorithm. At the same time, the computer device determines the air resistance coefficient of the air in the waste heat recovery device according to the air Reynolds number and the resistance coefficient algorithm.

[0164] Specifically, the waste heat recovery device includes multiple flow channels. The flue gas and air generated by the waste heat generating device will pass through the respective flow channels of the waste heat recovery device and be output to the waste heat utilization device. The resistance coefficient algorithm is shown in the following formulas (8.1) and (8.2):

[0165] (8.1)

[0166] (8.2)

[0167] As shown in the above formulas (8.1) and (8.2), is the Reynolds number, is the gas resistance coefficient. is the logarithm. For a gas with a Reynolds number less than 2300, the computer device performs data operations on the gas Reynolds number according to formula (8.1) to obtain the gas resistance coefficient. For a gas with a Reynolds number greater than 2300, the computer device performs data processing on the gas Reynolds number according to formula (8.2) to obtain the gas resistance coefficient.

[0168] In an exemplary embodiment, the Reynolds number of the flue gas is less than 2300. Therefore, the computer device performs data operations on the flue gas Reynolds number according to formula (8.1) to obtain the flue gas resistance coefficient. The Reynolds number of the air is greater than or equal to 2300, and the computer device performs data processing on the air Reynolds number according to formula (8.2) to obtain the air resistance coefficient.

[0169] Step 406: Determine the gas Nusselt number of the waste heat recovery device based on the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the gas resistance coefficient, and the Reynolds number.

[0170] Among them, the Reynolds number includes the flue gas Reynolds number and the air Reynolds number. The gas resistance coefficient includes the flue gas resistance coefficient and the air resistance coefficient.

[0171] In implementation, the computer device determines the flue gas Nusselt number of the flue gas in the waste heat recovery device according to the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the flue gas resistance coefficient, and the flue gas Reynolds number. At the same time, the computer device determines the air Nusselt number of the air in the waste heat recovery device according to the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the air resistance coefficient, and the air Reynolds number.

[0172] Specifically, a Reynolds number threshold is preset in the computer device. The computer device judges whether the flue gas Reynolds number is less than the Reynolds number threshold to obtain a first judgment result. Then, the computer device determines the flue gas Nusselt number of the flue gas in the waste heat recovery device according to the first judgment result, the Nusselt number value, the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the flue gas resistance coefficient, and the flue gas Reynolds number. The computer device judges whether the air Reynolds number is less than the Reynolds number threshold to obtain a second judgment result. Then, the computer device determines the air Nusselt number of the air in the waste heat recovery device according to the second judgment result, the Nusselt number value, the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the air resistance coefficient, and the air Reynolds number.

[0173] In this embodiment, through the resistance coefficient algorithm, data processing is performed on the initial flow channel structure parameter set and the gas environment parameter set to obtain the gas resistance coefficient and the Nusselt number of the gas in the core body, clarifying the gas flow condition, which is convenient for subsequent determination of the initial total heat transfer area and the initial gas pressure drop based on the gas resistance coefficient and the Nusselt number.

[0174] In an exemplary embodiment, the initial flow channel structure parameter set includes the initial flow channel length and the partition wall surface temperature, as Figure 5 shown, the specific processing process of step 406 includes steps 502 to 508. Among them:

[0175] Step 502: Judge whether the Reynolds number is less than the preset Reynolds number threshold.

[0176] Among them, the Reynolds number includes the flue gas Reynolds number and the air Reynolds number.

[0177] In implementation, a Reynolds number threshold is preset in the computer device. The computer device determines whether the flue gas Reynolds number is less than the preset Reynolds number threshold and determines whether the air Reynolds number is less than the Reynolds number threshold.

[0178] In an exemplary embodiment, the Reynolds number threshold preset in the computer device is 2300. The computer device determines whether the flue gas Reynolds number is less than 2300 and determines whether the air Reynolds number is less than 2300. If the flue gas Reynolds number is less than 2300, the computer device executes the following step 504; if the flue gas Reynolds number is greater than or equal to 2300, the computer device executes the following step 506. If the air Reynolds number is less than 2300, the computer device executes the following step 504; if the air Reynolds number is greater than or equal to 2300, the computer device executes the following step 506. Among them, the specific processing procedures of step 504 and step 506 will be elaborated in detail in the following embodiments, and the embodiments of the present application will not be specifically described here.

[0179] Step 504, if the Reynolds number is less than the Reynolds number threshold, determine the preset Nusselt number value as the gas Nusselt number of the gas in the waste heat recovery device.

[0180] In implementation, the computer device presets a Nusselt number value. If the Reynolds number is less than the Reynolds number threshold, the computer device determines the Nusselt number value as the gas Nusselt number of each flow channel in the core of the waste heat recovery device.

[0181] Specifically, since the gas flowing in the core of the waste heat recovery device includes air and flue gas, the computer device needs to determine the flue gas Nusselt number of the flue gas flowing in the core of the waste heat recovery device and the air Nusselt number of the air flowing in the core of the waste heat recovery device respectively. If the flue gas Reynolds number is less than the Reynolds number threshold, the computer device determines the preset Nusselt number value as the flue gas Nusselt number of the flue gas flowing in the core of the waste heat recovery device. If the air Reynolds number is less than the Reynolds number threshold, the computer device determines the preset Nusselt number value as the air Nusselt number of the air flowing in the core of the waste heat recovery device. Specifically, as shown in the following formula (9):

[0182] (9)

[0183] Among them, in the above formula (9), is the Nusselt number value, is the gas Reynolds number, that is, the flue gas Reynolds number or the air Reynolds number.

[0184] Step 506, if the Reynolds number is greater than or equal to the Reynolds number threshold, determine the gas temperature of the core partition wall surface and the Prandtl number of the gas based on the gas environment parameter set.

[0185] Among them, the partition wall temperature is the temperature of the partition wall of the core in the waste heat recovery device. The gas temperature of the core partition wall is the temperature of the gas at the wall of the core in the waste heat recovery device. The Prandtl number is a dimensionless physical quantity used to describe the relative importance of momentum transfer and heat transfer in a fluid. Since the gas includes flue gas and air, the gas temperature of the core partition wall includes the flue gas temperature of the core partition wall and the air temperature of the core partition wall. The gas environment parameter set includes the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, and the air outlet temperature.

[0186] In implementation, if the Reynolds number is greater than or equal to the Reynolds number threshold, the computer device determines the average value of the flue gas outlet temperature and the flue gas inlet temperature as the flue gas temperature of the core partition wall, and determines the average value of the air outlet temperature and the air inlet temperature as the air temperature of the core partition wall. The computer device queries the Prandtl number of the gas in the database according to the gas environment parameter set.

[0187] Specifically, an air physical parameter table and a flue gas physical parameter table are pre-set in the database. The air physical parameter table includes the thermal conductivity, specific heat at constant pressure, viscosity, Prandtl number, and enthalpy of air at different temperatures, different pressures, and different densities. The flue gas physical parameter table includes the thermal conductivity, specific heat at constant pressure, viscosity, Prandtl number, and enthalpy of flue gas at different temperatures, different pressures, and different densities. The computer device determines the Prandtl number of air in the air physical parameter table according to the absolute pressure and absolute temperature of air. At the same time, the computer device determines the Prandtl number of flue gas in the flue gas physical parameter table according to the absolute pressure and absolute temperature of flue gas.

[0188] In an exemplary embodiment, Table 4 is an air physical parameter table in an embodiment.

[0189] Table 4

[0190]

[0191] In Table 4 above, each row represents the thermal conductivity, specific heat at constant pressure, viscosity, Prandtl number, and enthalpy of air at the temperature, pressure, and density of that row. Taking the first row as an example, at a temperature of 280K, a pressure of 0.12MPa, and a density of 1.494 kg / m 3 (kilograms per cubic meter), the thermal conductivity of air is 24.52 mW / m·K (milliwatts per meter per Kelvin), the specific heat at constant pressure is 1.006 kJ / kg·K (kilojoules per kilogram per Kelvin), the viscosity is 17.603 uPa·s (micro-Pascal seconds), the Prandtl number is 0.72258, and the enthalpy is 280.134 kJ / kg (kilojoules per kilogram).

[0192] Table 5 is a flue gas physical parameter table in an embodiment.

[0193] Table 5

[0194]

[0195] In Table 5 above, each row represents the thermal conductivity, specific heat at constant pressure, viscosity, Prandtl number, and enthalpy of the flue gas at the temperature, pressure, and density of that row. Taking the first row as an example, at a temperature of 380 K, a pressure of 0.12 MPa, and a density of 1.009 kg / m 3 (kilogram per cubic meter), the thermal conductivity of the flue gas is 30.56 mW / m·K (milliwatt per meter per Kelvin), the specific heat at constant pressure is 1.201 kJ / kg·K (kilojoule per kilogram per Kelvin), the viscosity is 20.052 μPa·s (micro-Pascal second), the Prandtl number is 0.75764, and the enthalpy is 738.469 kJ / kg (kilojoule per kilogram).

[0196] Step 508: Calculate the gas Nusselt number in the waste heat recovery device based on the initial channel length, initial channel equivalent diameter, gas resistance coefficient, baffle wall temperature, gas temperature, and Prandtl number.

[0197] In implementation, the computer device performs data operations on the initial channel length, initial channel equivalent diameter, gas resistance coefficient, baffle wall temperature, gas temperature, and Prandtl number according to the Nusselt number algorithm to obtain the gas Nusselt number in the waste heat recovery device.

[0198] Specifically, if the gas is air, the computer device needs to perform data operations on the initial channel length, initial channel equivalent diameter, air resistance coefficient, baffle wall temperature, air temperature, and Prandtl number of air according to the Nusselt number algorithm to obtain the air Nusselt number in the waste heat recovery device. If the gas is flue gas, the computer device needs to perform data operations on the initial channel length, initial channel equivalent diameter, flue gas resistance coefficient, baffle wall temperature, flue gas temperature, and Prandtl number of flue gas according to the Nusselt number algorithm to obtain the flue gas Nusselt number in the waste heat recovery device. Among them, the Nusselt number algorithm is shown in the following formula (10):

[0199] Nu = ( f 8 )( Re -1000) Pr 1+12.7 f 8 ( Pr 2 3 -1) [1 + ( d l ) 2 3 ] ( T f T w ) 0.45 ， Re ≥2300 (10)

[0200] Among them, in the above formula (10), is the gas Nusselt number. is the gas Reynolds number. is the air resistance coefficient, is the Prandtl number of the gas at the corresponding temperature and pressure. is the equivalent diameter of the initial flow channel, is the initial flow channel length. is the gas temperature, is the temperature of the baffle wall surface.

[0201] In this embodiment, through the gas environment parameters, the set of initial flow channel structure parameters, the equivalent diameter of the initial flow channel, the flue gas resistance coefficient, the air resistance coefficient, the flue gas Reynolds number, and the air Reynolds number, it is possible to estimate the flue gas Nusselt number and the air Nusselt number of the flue gas and air in the core body of the waste heat recovery device, clarify the flow conditions of the flue gas and air in the core body, and facilitate the subsequent determination of the flue gas pressure drop and the air pressure drop based on the flue gas Nusselt number and the air Nusselt number.

[0202] In an exemplary embodiment, as Figure 6 shown, the specific processing process of step 304 includes steps 602 to 606. Among them:

[0203] Step 602, determine the heat release of the flue gas and the logarithmic mean temperature difference according to the gas environment parameter set.

[0204] Among them, the gas environment parameter set includes the flue gas inlet pressure, the flue gas inlet temperature, the flue gas outlet pressure, the flue gas outlet temperature, the flue gas flow rate, the flue gas outlet enthalpy value, the flue gas inlet enthalpy value, the air inlet pressure, the air inlet temperature, the air outlet pressure, the air outlet temperature, the air inlet enthalpy value, the air outlet enthalpy value, and the air flow rate.

[0205] In implementation, the computer device performs data operations on the flue gas flow rate, the flue gas outlet pressure, and the flue gas inlet pressure according to the flue gas heat release algorithm to obtain the flue gas heat release. Then, the computer device performs data processing on the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, and the air outlet temperature according to the logarithmic mean temperature difference algorithm to obtain the logarithmic mean temperature difference.

[0206] Specifically, the computer device determines the maximum temperature difference and the minimum temperature difference based on the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, and the air outlet temperature. Then, the computer device performs data operations on the maximum temperature difference and the minimum temperature difference according to the logarithmic mean temperature difference algorithm to obtain the logarithmic mean temperature difference.

[0207] Step 604, determine the gas heat transfer coefficient between the gas and the baffle according to the gas baffle heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt number, and perform data processing on the gas heat transfer coefficient and the material property data set according to the total heat transfer coefficient algorithm to obtain the total heat transfer coefficient.

[0208] Among them, the material property data set includes the baffle thermal conductivity, the air thermal resistance, and the flue gas thermal resistance.

[0209] In implementation, the computer device queries the thermal conductivity of the gas in the database according to the gas environment parameter set. Then, the computer device processes the thermal conductivity and the Nusselt number of the gas according to the gas partition heat transfer coefficient algorithm to obtain the gas heat transfer coefficient between the gas and the partition. The computer device performs data operations on the gas heat transfer coefficient, the initial partition thickness, the partition thermal conductivity, the air thermal resistance, and the flue gas thermal resistance according to the total heat transfer coefficient algorithm to obtain the total heat transfer coefficient of the waste heat recovery device.

[0210] Specifically, the gas heat transfer coefficient includes the air heat transfer coefficient and the flue gas heat transfer coefficient. The air heat transfer coefficient is the heat transfer coefficient between the air and the partition, and the flue gas heat transfer coefficient is the heat transfer coefficient between the flue gas and the partition. The air thermal resistance is the thermal resistance between the air and the partition, and the flue gas thermal resistance is the thermal resistance between the flue gas and the partition. The computer device performs data operations on the flue gas heat transfer coefficient, the air heat transfer coefficient, the initial partition thickness, the partition thermal conductivity, the air thermal resistance, and the flue gas thermal resistance according to the total heat transfer coefficient algorithm to obtain the total heat transfer coefficient of the waste heat recovery device. Among them, the total heat transfer coefficient algorithm is shown in the following formula (11):

[0211] (11)

[0212] Among them, in the above formula (11), is the total heat transfer coefficient, is the air heat transfer coefficient, is the flue gas heat transfer coefficient, is the air thermal resistance, is the flue gas thermal resistance. is the partition thermal conductivity, is the initial partition thickness. For example, the total heat transfer coefficient is 76.92 W / (m 2 ·K).

[0213] Step 606, according to the total heat transfer area algorithm, process the logarithmic mean temperature difference, the flue gas heat release amount, and the total heat transfer coefficient to obtain the initial total heat transfer area.

[0214] In implementation, the computer device performs data operations on the logarithmic mean temperature difference, the flue gas heat release amount, and the total heat transfer coefficient according to the total heat transfer area algorithm to obtain the initial total heat transfer area of the waste heat recovery device. Among them, the total heat transfer area algorithm is shown in the following formula (12):

[0215] (12)

[0216] Among them, in the above formula (12), is the initial total heat transfer area of the waste heat recovery device, is the flue gas heat release amount, is the total heat transfer area, is the logarithmic mean temperature difference. For example, the initial total heat transfer area is 3.95 square meters.

[0217] In this embodiment, through the total heat transfer area algorithm, data operations are performed on the gas environment parameter set, material property data set, initial flow channel structure parameter set, and gas Nusselt number, realizing the automatic determination of the total heat transfer area of the waste heat recovery device, reducing the time for determining the total heat transfer area, and improving the data processing efficiency.

[0218] In an exemplary embodiment, the gas environment parameter set includes the flue gas inlet temperature, flue gas outlet temperature, air inlet temperature, air outlet temperature, flue gas flow rate, flue gas outlet pressure, and flue gas inlet pressure. As Figure 7 shown, the specific processing process of step 602 includes steps 702 to 706. Among them:

[0219] Step 702, according to the flue gas heat release algorithm, perform data operations on the flue gas flow rate, flue gas outlet pressure, and flue gas inlet pressure to obtain the flue gas heat release.

[0220] In implementation, the computer device performs data operations on the flue gas flow rate, flue gas outlet pressure, and flue gas inlet pressure according to the flue gas heat release algorithm to obtain the flue gas heat release. Among them, the flue gas heat release algorithm is as shown in the above formula (10).

[0221] In an exemplary embodiment, the flue gas flow rate is 500 kg / h, the flue gas outlet pressure is 10000 Pa, and the flue gas inlet pressure is 30000 Pa. The computer device performs data operations on the flue gas flow rate, flue gas outlet pressure, and flue gas inlet pressure according to the flue gas heat release algorithm, and the obtained flue gas heat release is 51 KW.

[0222] Step 704, based on the flue gas inlet temperature, flue gas outlet temperature, air inlet temperature, and air outlet temperature, determine the maximum temperature difference and the minimum temperature difference.

[0223] In implementation, the computer device performs data operations on the flue gas inlet temperature, flue gas outlet temperature, air inlet temperature, and air outlet temperature according to the maximum temperature difference algorithm to obtain the maximum temperature difference. At the same time, the computer device performs data operations on the flue gas inlet temperature, flue gas outlet temperature, air inlet temperature, and air outlet temperature according to the minimum temperature difference algorithm to obtain the minimum temperature difference. Among them, the maximum temperature difference algorithm is as shown in the following formula (13), and the minimum temperature difference algorithm is as shown in the following formula (14):

[0224] (13)

[0225] (14)

[0226] Among them, in the above formulas (13) and (14), is the lowest temperature difference, is the highest temperature difference, is the flue gas inlet temperature, is the flue gas outlet temperature, is the air inlet temperature, is the air outlet temperature.

[0227] Step 706: According to the logarithmic mean temperature difference algorithm, perform data operations on the highest temperature difference and the lowest temperature difference to obtain the logarithmic mean temperature difference.

[0228] In implementation, the computer device performs data operations on the highest temperature difference and the lowest temperature difference according to the mean temperature difference algorithm to obtain the logarithmic mean temperature difference. The logarithmic mean temperature difference algorithm is shown in the following formula (15):

[0229] (15)

[0230] Among them, in the above formula (15), is the lowest temperature difference, is the highest temperature difference, is the mean logarithmic temperature difference.

[0231] In an exemplary embodiment, the flue gas inlet temperature is 780K, the flue gas outlet temperature is 481K, the air inlet temperature is 293K, and the air outlet temperature is 473K. The computer device performs data operations on the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, and the air outlet temperature according to the mean temperature difference algorithm, and the obtained mean temperature difference is 179.6K.

[0232] In this embodiment, the flue gas heat release algorithm is used to process the gas environment parameter set to obtain the flue gas heat release, and the logarithmic mean temperature difference is determined based on the logarithmic mean temperature difference algorithm and the gas environment parameter set, clarifying the heat exchange situation in the waste heat recovery device, which is convenient for subsequent determination of the initial total heat transfer area of the waste heat recovery device.

[0233] In an exemplary embodiment, as Figure 8 shown, the specific processing process of determining the gas heat transfer coefficient between the gas and the baffle according to the heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt number in step 604 includes steps 802 to 804. Among them:

[0234] Step 802: Query the thermal conductivity of the gas according to the gas environment parameter set.

[0235] Among them, the gas environment parameter set includes flue gas pressure, air pressure, flue gas temperature, and air temperature.

[0236] In implementation, the database contains a table of gas physical parameters. The table of gas physical parameters includes the gas thermal conductivity at different temperatures and different pressures. The computer device determines the absolute gas pressure and the absolute gas temperature according to the gas environment parameter set. The computer device queries the gas thermal conductivity corresponding to the absolute gas pressure and the absolute gas temperature in the table of gas physical parameters according to the absolute gas pressure and the absolute gas temperature.

[0237] Specifically, the database includes a table of air physical parameters and a table of flue gas physical parameters. The table of air physical parameters includes the air thermal conductivity at different temperatures and different pressures. The table of flue gas physical parameters includes the flue gas thermal conductivity at different temperatures and different pressures. The computer device determines the absolute flue gas pressure based on the flue gas table pressure and determines the absolute air pressure based on the air table pressure. The computer device queries the flue gas thermal conductivity in the flue gas physical parameter set according to the absolute flue gas pressure and the absolute flue gas temperature. At the same time, the computer device queries the air thermal conductivity in the air physical parameter set according to the absolute air pressure and the absolute air temperature.

[0238] Step 804, perform data processing on the thermal conductivity and the gas Nusselt number according to the gas partition heat transfer coefficient algorithm to obtain the gas heat transfer coefficient between the gas and the partition.

[0239] Among them, the gas partition heat transfer coefficient algorithm includes a flue gas heat transfer coefficient algorithm and an air heat transfer coefficient.

[0240] In implementation, the computer device performs data operations on the air thermal conductivity, the air Nusselt number, and the equivalent diameter of the air flow channel according to the air heat transfer coefficient algorithm to obtain the air heat transfer coefficient. Among them, the air heat transfer coefficient algorithm is shown in the following formula (16):

[0241] (16)

[0242] Among them, in the above formula (16), is the air heat transfer coefficient, is the air Nusselt number, is the air thermal conductivity, is the equivalent diameter of the air flow channel and is also the initial flow channel equivalent diameter.

[0243] The computer device performs data operations on the flue gas thermal conductivity, the flue gas Nusselt number, and the equivalent diameter of the flue gas flow channel according to the flue gas heat transfer coefficient algorithm to obtain the flue gas heat transfer coefficient. Among them, the flue gas heat transfer coefficient algorithm is shown in the following formula (17):

[0244] (17)

[0245] Among them, in the above formula (17), is the flue gas heat transfer coefficient, is the flue gas Nusselt number, is the thermal conductivity of the flue gas, is the equivalent diameter of the flue gas flow channel, which is also the equivalent diameter of the initial flow channel.

[0246] In this embodiment, through the gas baffle heat transfer coefficient algorithm, the gas environmental parameter set and the gas Nusselt number, the flue gas heat transfer coefficient between the flue gas and the baffle and the air heat transfer coefficient between the air and the baffle can be quickly determined, which is convenient for subsequent determination of the initial total heat transfer area of the waste heat recovery device.

[0247] In an exemplary embodiment, as Figure 9 shown, the gas resistance coefficient includes the air resistance coefficient and the flue gas resistance coefficient, the initial gas pressure drop includes the air pressure drop and the flue gas pressure drop, the gas pressure drop algorithm includes the flue gas pressure drop algorithm and the air pressure drop algorithm, the initial flow channel structure parameter set includes the initial flow channel length, and the specific processing process of step 306 includes step 902 to step 906. Among them:

[0248] Step 902, determine the equivalent diameter of the initial flow channel according to the initial flow channel structure parameter set.

[0249] Among them, the initial flow channel structure parameter set includes the initial single flow channel width and the initial fin height.

[0250] In implementation, based on the flow channel equivalent diameter algorithm, data operations are performed on the initial single flow channel width and the initial fin height to obtain the equivalent diameter of the initial flow channel of the waste heat recovery device. Among them, the equivalent diameter of the initial flow channel is as shown in the above formula (1).

[0251] In an exemplary embodiment, the initial single flow channel width is 1 mm and the initial fin height is 2 mm. The computer device performs data operations on the initial single flow channel width and the initial fin height according to the flow channel equivalent diameter algorithm, and obtains the equivalent diameter of the initial flow channel of the waste heat recovery device as 1.33 mm.

[0252] Step 904, perform data processing on the equivalent diameter of the initial flow channel, the initial flow channel length, the air flow velocity and the air resistance coefficient according to the air pressure drop algorithm to obtain the air pressure drop of the waste heat recovery device.

[0253] In implementation, the computer device performs data processing on the equivalent diameter of the initial flow channel, the initial flow channel length, the air flow velocity and the air resistance coefficient according to the air pressure drop algorithm to obtain the air pressure drop of the waste heat recovery device. Among them, the air pressure drop algorithm is as shown in the following formula (18):

[0254] (18)

[0255] Among them, in the above formula (18), is the air pressure drop, is the air resistance coefficient, is the air density, is the air flow velocity, is the initial flow channel length, is the initial flow channel equivalent diameter. For example, the computer device obtains an air pressure drop of 6179.2 Pa.

[0256] Step 906: Based on the flue gas pressure drop algorithm, perform data processing on the initial flow channel equivalent diameter, initial flow channel length, flue gas flow velocity, and flue gas resistance coefficient to obtain the flue gas pressure drop of the waste heat recovery device.

[0257] In implementation, the computer device performs data processing on the initial flow channel equivalent diameter, initial flow channel length, flue gas flow velocity, and flue gas resistance coefficient according to the flue gas pressure drop algorithm to obtain the flue gas pressure drop of the waste heat recovery device. Among them, the air pressure drop algorithm is as shown in the following formula (19):

[0258] (19)

[0259] In the above formula (19), is the flue gas pressure drop, is the flue gas resistance coefficient, is the flue gas density, is the flue gas flow velocity, is the initial flow channel length, is the initial flow channel equivalent diameter. For example, the computer device obtains an air pressure drop of 17060.8 Pa.

[0260] In an optional embodiment, after obtaining the set of flow channel structure parameters and the total heat transfer area that meet the pressure drop condition, the computer device performs data operations on the flue gas inlet temperature, total heat transfer area, flue gas inlet heat transfer coefficient, and flue gas heat release amount according to the flue gas inlet baffle wall temperature algorithm to obtain the flue gas inlet baffle wall temperature. The flue gas inlet baffle wall temperature algorithm is as shown in the following formula (20):

[0261] (20)

[0262] Among them, in the above formula (20), is the flue gas inlet temperature, is the total heat transfer area, is the flue gas inlet heat transfer coefficient, is the flue gas heat release amount. is the flue gas inlet baffle wall temperature. In an exemplary embodiment, the calculated by the computer device is 690 K.

[0263] The computer device performs data operations on the flue gas outlet temperature, total heat transfer area, flue gas outlet heat transfer coefficient, and flue gas heat release according to the flue gas outlet baffle wall temperature algorithm to obtain the flue gas outlet baffle wall temperature. The flue gas outlet baffle wall temperature algorithm is shown in the following formula (21):

[0264] (21)

[0265] In the above formula (21), is the flue gas outlet temperature, is the total heat transfer area, is the flue gas outlet heat transfer coefficient, is the flue gas heat release. is the flue gas outlet baffle wall temperature. In an exemplary embodiment, the calculated by the computer device is 615K.

[0266] The computer device performs data operations on the air inlet temperature, total heat transfer area, air inlet heat transfer coefficient, and air heat absorption according to the air inlet baffle wall temperature algorithm to obtain the air inlet baffle wall temperature. The air inlet baffle wall temperature algorithm is shown in the following formula (22):

[0267] (22)

[0268] Wherein, in the above formula (22), is the air inlet temperature, is the total heat transfer area, is the air inlet heat transfer coefficient, is the air heat absorption. is the air inlet baffle wall temperature. In an exemplary embodiment, the calculated by the computer device is 342K.

[0269] The computer device performs data operations on the air outlet temperature, total heat transfer area, air outlet heat transfer coefficient, and air heat absorption according to the air outlet baffle wall temperature algorithm to obtain the air outlet baffle wall temperature. The air outlet baffle wall temperature algorithm is shown in the following formula (23):

[0270] (23)

[0271] In the above formula (23), is the air outlet temperature, is the total heat transfer area, is the air outlet heat transfer coefficient, is the air heat absorption. is the air outlet baffle wall temperature. In an exemplary embodiment, the is 430K.

[0272] The computer device compares the wall temperatures of the air outlet partition, the air inlet partition, the flue gas outlet partition, and the flue gas inlet partition with the wall temperature of the partition, and the difference should be less than 1% (percent sign).

[0273] In this embodiment, through the gas pressure drop algorithm, data operations are performed on the gas resistance coefficient and the set of flow channel structure parameters, realizing the automatic determination of the initial gas pressure drop of the waste heat recovery device, reducing the time for manual calculation of the initial gas pressure drop, and improving the data processing efficiency.

[0274] In one exemplary embodiment, Figure 10 is the design flow chart of the waste heat recovery device in one exemplary embodiment. As Figure 10 shown, the computer device determines the air flow Nusselt number (air Nusselt number), the flue gas flow Nusselt number (flue gas Nusselt number), the physical parameters of the air flow, and the physical parameters of the flue gas flow according to the air input parameters (air environment parameter set), the gas input parameters (flue gas environment parameter set), and the initial flow channel structure parameter set. The computer device determines the total heat transfer coefficient according to the air flow Nusselt number, the flue gas flow Nusselt number, the physical parameters of the air flow, and the physical parameters of the flue gas flow. Then, the computer device determines the total heat transfer area and the gas pressure drop of the waste heat recovery device according to the total heat transfer coefficient. At the same time, the computer device determines the final value of the flow channel wall temperature according to the total heat transfer coefficient.

[0275] In one exemplary embodiment, the above data processing method is used to manufacture a waste heat recovery device. Figure 11 is the structural schematic diagram of the waste heat recovery device in one embodiment. As Figure 11 shown, the waste heat recovery device includes a waste heat recovery device core 1100, an air inlet assembly 1120, a flue gas inlet assembly 1130, an air outlet assembly 1140, and a flue gas outlet assembly 1150. Figure 12a is the air flow structure schematic diagram of the high-temperature waste heat recovery device in one embodiment, Figure 12b is the flue gas flow structure schematic diagram of the high-temperature waste heat recovery device in one embodiment. Figure 13 is the internal structure schematic diagram of the high-temperature waste heat recovery device in one embodiment. As Figure 12a , Figure 12b and Figure 13 shown, the waste heat recovery device core 1100 includes an air flow channel head 1111, an air flow channel fin 1112, a flue gas flow channel head 1113, a flue gas flow channel fin 1114, and a partition 1115. As Figure 12a and Figure 12bAs shown, the air flow channel fins 1112 and the flue gas flow channel fins 1114 are arranged crosswise and separated by a partition plate 1115 in the middle. And so on, arranged according to the total number of designed layers, and pressing plates are respectively provided at the top and bottom. The thickness of the pressing plate is not less than 4 mm (millimeters). After the overall assembly of the waste heat recovery device core 1100 is completed, it is integrally brazed. After being taken out of the furnace, it needs to be pressured with gas at not less than 1.5 times the working pressure to ensure that the waste heat recovery device core 1100 does not have cavity leakage or air leakage.

[0276] In an exemplary embodiment, the air flow channel head 1111 and the flue gas flow channel head 1113 can but are not limited to be formed by stamping a plate and then welded to the waste heat recovery device core 1100. During the welding process of the air flow channel head 1111 and the flue gas flow channel head 1113 to the waste heat recovery device core 1100, weld inspection needs to be carried out while welding. The welding process is argon arc welding or laser welding. If defects such as pores or cracks appear in the weld, it is necessary to repair the weld in time or perform other treatments. The air inlet assembly 1120, the flue gas inlet assembly 1130, the air outlet assembly 1140, and the flue gas outlet assembly 1150 can all adopt flanges. The flanges can be standard flanges or customized and machined. The flanges and the heads can adopt a welding form. Figure 14 Schematic diagram of the fin structure of the waste heat recovery device in an embodiment. As Figure 14 shown, both the air flow channel fins 1112 and the flue gas flow channel fins 1114 are processed by stamping. The thickness of the fins is generally 0.2 mm to 0.5 mm. The thickness of the partition plate 1115 is generally 0.2 mm to 0.8 mm. For the same partition plate material, the higher the temperature, the greater the thickness of the partition plate.

[0277] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the indications of the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps does not have a strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0278] Based on the same inventive concept, an embodiment of the present application further provides a data processing device for implementing the data processing method involved above. The solution provided by this device for solving problems is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the data processing device provided below can refer to the limitations on the data processing method in the above text and will not be elaborated here.

[0279] In an exemplary embodiment, as Figure 15 shown, a data processing device 1500 is provided, including: an acquisition module 1501 and an optimization module 1502, where:

[0280] The acquisition module 1501 is configured to acquire a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement.

[0281] The optimization module 1502 is configured to optimize the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set, and the material property data set to obtain a flow channel structure parameter set of the waste heat recovery device, and determine the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

[0282] In an exemplary embodiment, the optimization module 1502 includes:

[0283] The first arithmetic sub-module is configured to perform data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to a pressure drop algorithm and a total heat transfer area algorithm to obtain the initial gas pressure drop and the initial total heat transfer area of the waste heat recovery device.

[0284] The first judgment sub-module is configured to judge whether the initial gas pressure drop meets a preset gas pressure drop condition.

[0285] The first execution sub-module is configured to, when the initial gas pressure drop does not meet the gas pressure drop condition, update the initial flow channel structure parameter set according to the initial gas pressure drop, and execute the step of performing data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to the pressure drop algorithm and the total heat transfer area algorithm until the initial gas pressure drop meets the gas pressure drop condition.

[0286] The first determination sub-module is configured to determine the initial total heat transfer area as the total heat transfer area of the waste heat recovery device, and determine the initial flow channel structure parameter set as the flow channel parameter structure set of the waste heat recovery device.

[0287] In an exemplary embodiment, the first arithmetic sub-module includes:

[0288] A second determination sub-module, configured to determine a gas resistance coefficient and a gas Nusselt number of the gas in the waste heat recovery device according to the gas environment parameter set and the initial flow channel structure parameter set.

[0289] A first processing sub-module, configured to perform data processing on the gas Nusselt number, the gas environment parameter set, and the material property data set according to the total heat transfer area algorithm to obtain an initial total heat transfer area.

[0290] A first calculation sub-module, configured to calculate an initial gas pressure drop of the waste heat recovery device based on the gas pressure drop algorithm, the gas resistance coefficient, and the flow channel structure parameter set.

[0291] In an exemplary embodiment, the second determination sub-module includes:

[0292] A third determination sub-module, configured to determine an initial flow channel equivalent diameter according to the initial flow channel structure parameter set, and determine a Reynolds number of the gas flow based on the gas environment parameter set and the initial flow channel structure parameter set.

[0293] A fourth determination sub-module, configured to determine a gas resistance coefficient of the gas in the waste heat recovery device according to the Reynolds number and the resistance coefficient algorithm.

[0294] A fifth determination sub-module, configured to determine a gas Nusselt number of the gas in the waste heat recovery device based on the gas environment parameter, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the gas resistance coefficient, and the Reynolds number.

[0295] In an exemplary embodiment, the initial flow channel structure parameter set includes an initial flow channel length and a baffle wall temperature, and the fifth determination sub-module includes:

[0296] A second judgment sub-module, configured to judge whether the Reynolds number is less than a preset Reynolds number threshold.

[0297] A sixth determination sub-module, configured to, if the Reynolds number is less than the Reynolds number threshold, determine a preset Nusselt number value as the gas Nusselt number of the gas in the waste heat recovery device.

[0298] A seventh determination sub-module, configured to, if the Reynolds number is greater than or equal to the Reynolds number threshold, determine a core baffle wall surface gas temperature and a Prandtl number of the gas based on the gas environment parameter set.

[0299] A second calculation sub-module, configured to calculate a gas Nusselt number of the gas in the waste heat recovery device according to the initial flow channel length, the initial flow channel equivalent diameter, the gas resistance coefficient, the baffle wall temperature, the core baffle wall surface gas temperature, and the Prandtl number.

[0300] In an exemplary embodiment, the first processing sub-module includes:

[0301] An eighth determination sub-module, configured to determine the heat release of the flue gas and the logarithmic mean temperature difference according to the gas environment parameter set.

[0302] A ninth determination sub-module, configured to determine the gas heat transfer coefficient between the gas and the baffle according to the gas baffle heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt number, and perform data processing on the gas heat transfer coefficient and the material property data set according to the total heat transfer coefficient algorithm to obtain the total heat transfer coefficient.

[0303] A second processing sub-module, configured to perform data processing on the logarithmic mean temperature difference, the heat release of the flue gas, and the total heat transfer coefficient according to the total heat transfer area algorithm to obtain the initial total heat transfer area.

[0304] In an exemplary embodiment, the gas environment parameter set includes the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, the air outlet temperature, the flue gas flow rate, the flue gas outlet pressure, and the flue gas inlet pressure. The eighth determination sub-module includes:

[0305] A second operation sub-module, configured to perform data operations on the flue gas flow rate, the flue gas outlet pressure, and the flue gas inlet pressure according to the flue gas heat release algorithm to obtain the heat release of the flue gas.

[0306] A tenth determination sub-module, configured to determine the maximum temperature difference and the minimum temperature difference based on the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, and the air outlet temperature.

[0307] A third operation sub-module, configured to perform data operations on the maximum temperature difference and the minimum temperature difference according to the logarithmic mean temperature difference algorithm to obtain the logarithmic mean temperature difference.

[0308] In an exemplary embodiment, the ninth determination sub-module includes an eleventh determination sub-module and a third processing sub-module. Among them, the eleventh determination sub-module includes:

[0309] A first query sub-module, configured to query the thermal conductivity of the gas according to the gas environment parameter set.

[0310] A fourth operation sub-module, configured to perform data processing on the thermal conductivity and the gas Nusselt number according to the gas baffle heat transfer coefficient algorithm to obtain the gas heat transfer coefficient between the gas and the baffle.

[0311] In an exemplary embodiment, the gas resistance coefficient includes the air resistance coefficient and the flue gas resistance coefficient, the initial gas pressure drop includes the air pressure drop and the flue gas pressure drop, the gas pressure drop algorithm includes the flue gas pressure drop algorithm and the air pressure drop algorithm, and the initial flow channel structure parameter set includes the initial flow channel length. The first calculation sub-module includes:

[0312] A twelfth determination sub-module, configured to determine the initial flow channel equivalent diameter according to the initial flow channel structure parameter set.

[0313] A third processing sub-module, configured to perform data processing on the initial flow channel equivalent diameter, the initial flow channel length, the air flow velocity, and the air resistance coefficient according to the air pressure drop algorithm, so as to obtain the air pressure drop of the waste heat recovery device.

[0314] A fourth processing sub-module, configured to perform data processing on the initial flow channel equivalent diameter, the initial flow channel length, the flue gas flow velocity, and the flue gas resistance coefficient based on the flue gas pressure drop algorithm, so as to obtain the flue gas pressure drop of the waste heat recovery device.

[0315] Each module in the above data processing device can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in the processor in the computer device in hardware form or be independent of it, or can be stored in the memory in the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0316] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as Figure 16 shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. The computer program, when executed by the processor, implements a data processing method. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad set on the shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0317] Those skilled in the art can understand that Figure 16The structure shown is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0318] In one embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0319] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0320] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0321] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, a database, or other media used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0322] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in the present application.

[0323] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A data processing method, characterized in that, The method includes: Obtaining a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement; Optimizing the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set, and the material property data set to obtain a flow channel structure parameter set of the waste heat recovery device, and determining the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

2. The method according to claim 1, characterized in that The optimizing the initial flow channel structure parameter set according to a pressure drop algorithm, the gas environment parameter set, and the material property data set to obtain a flow channel structure parameter set of the waste heat recovery device, and determining the total heat transfer area of the waste heat recovery device includes: Performing data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to a pressure drop algorithm and a total heat transfer area algorithm to obtain an initial gas pressure drop and an initial total heat transfer area of the waste heat recovery device; Judging whether the initial gas pressure drop meets a preset gas pressure drop condition; In the case where the initial gas pressure drop does not meet the gas pressure drop condition, updating the initial flow channel structure parameter set according to the initial gas pressure drop, and performing the step of performing data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to a pressure drop algorithm and a total heat transfer area algorithm until the initial gas pressure drop meets the gas pressure drop condition; Determining the initial total heat transfer area as the total heat transfer area of the waste heat recovery device, and determining the initial flow channel structure parameter set as the flow channel parameter structure set of the waste heat recovery device.

3. The method according to claim 2, wherein The performing data operations on the gas environment parameter set, the initial flow channel structure parameter set, and the material property data set according to a pressure drop algorithm and a total heat transfer area algorithm to obtain an initial gas pressure drop and an initial total heat transfer area of the waste heat recovery device includes: Determining a gas resistance coefficient and a gas Nusselt number of the gas in the waste heat recovery device according to the gas environment parameter set and the initial flow channel structure parameter set; Performing data processing on the gas Nusselt number, the gas environment parameter set, and the material property data set according to a total heat transfer area algorithm to obtain an initial total heat transfer area; Calculating the initial gas pressure drop of the waste heat recovery device based on a gas pressure drop algorithm, the gas resistance coefficient, and the flow channel structure parameter set.

4. The method according to claim 3, wherein The determining a gas resistance coefficient and a gas Nusselt number of the gas in the waste heat recovery device according to the gas environment parameter set and the initial flow channel structure parameter set includes: Determining an initial flow channel equivalent diameter according to the initial flow channel structure parameter set, and determining a Reynolds number of gas flow based on the gas environment parameter set and the initial flow channel structure parameter set; Determining a gas resistance coefficient of the gas in the waste heat recovery device according to the Reynolds number and a resistance coefficient algorithm; Determining the gas Nusselt number of the gas in the waste heat recovery device based on the gas environment parameter, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the gas resistance coefficient, and the Reynolds number.

5. The method according to claim 4, wherein The initial flow channel structure parameter set includes the initial flow channel length and the partition wall temperature. Determining the gas Nusselt number of the gas in the waste heat recovery device based on the gas environment parameters, the initial flow channel structure parameter set, the initial flow channel equivalent diameter, the gas resistance coefficient, and the Reynolds number includes: Judging whether the Reynolds number is less than a preset Reynolds number threshold; If the Reynolds number is less than the Reynolds number threshold, determining a preset Nusselt number value as the gas Nusselt number of the gas in the waste heat recovery device; If the Reynolds number is greater than or equal to the Reynolds number threshold, determining the gas temperature on the core partition wall and the Prandtl number of the gas based on the gas environment parameter set; Calculating the gas Nusselt number of the gas in the waste heat recovery device according to the initial flow channel length, the initial flow channel equivalent diameter, the gas resistance coefficient, the partition wall temperature, the gas temperature on the core partition wall, and the Prandtl number.

6. The method according to claim 3, wherein The data processing of the gas Nusselt number, the gas environment parameter set, and the material property data set according to the total heat transfer area algorithm to obtain the initial total heat transfer area includes: Determining the heat release of the flue gas and the logarithmic mean temperature difference according to the gas environment parameter set; Determining the gas heat transfer coefficient between the gas and the partition according to the gas partition heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt number, and performing data processing on the gas heat transfer coefficient and the material property data set according to the total heat transfer coefficient algorithm to obtain the total heat transfer coefficient; Performing data processing on the logarithmic mean temperature difference, the heat release of the flue gas, and the total heat transfer coefficient according to the total heat transfer area algorithm to obtain the initial total heat transfer area.

7. The method according to claim 6, wherein The gas environment parameter set includes the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, the air outlet temperature, the flue gas flow rate, the flue gas outlet pressure, and the flue gas inlet pressure. The determining the heat release of the flue gas and the logarithmic mean temperature difference according to the gas environment parameter set includes: Performing data operations on the flue gas flow rate, the flue gas outlet pressure, and the flue gas inlet pressure according to the flue gas heat release algorithm to obtain the heat release of the flue gas; Based on the flue gas inlet temperature, the flue gas outlet temperature, the air inlet temperature, and the air outlet temperature, determining the maximum temperature difference and the minimum temperature difference; Performing data operations on the maximum temperature difference and the minimum temperature difference according to the logarithmic mean temperature difference algorithm to obtain the logarithmic mean temperature difference.

8. The method according to claim 6, wherein The determining the gas heat transfer coefficient between the gas and the partition according to the gas partition heat transfer coefficient algorithm, the gas environment parameter set, and the gas Nusselt number includes: Querying the thermal conductivity of the gas according to the gas environment parameter set; Performing data processing on the thermal conductivity and the gas Nusselt number according to the gas partition heat transfer coefficient algorithm to obtain the gas heat transfer coefficient between the gas and the partition.

9. The method according to claim 3, characterized in that, The gas resistance coefficient includes an air resistance coefficient and a flue gas resistance coefficient. The initial gas pressure drop includes an air pressure drop and a flue gas pressure drop. The gas pressure drop algorithm includes a flue gas pressure drop algorithm and an air pressure drop algorithm. The initial flow channel structure parameter set includes an initial flow channel length. Calculating the initial gas pressure drop of the waste heat recovery device based on the gas pressure drop algorithm, the gas resistance coefficient, and the flow channel structure parameter set includes: Determine the equivalent diameter of the initial flow channel according to the initial flow channel structure parameter set; Perform data processing on the equivalent diameter of the initial flow channel, the initial flow channel length, the air flow velocity, and the air resistance coefficient according to the air pressure drop algorithm to obtain the air pressure drop of the waste heat recovery device; Based on the flue gas pressure drop algorithm, perform data processing on the equivalent diameter of the initial flow channel, the initial flow channel length, the flue gas flow velocity, and the flue gas resistance coefficient to obtain the flue gas pressure drop of the waste heat recovery device.

10. A data processing device, characterized in that, The device includes: An acquisition module for acquiring a gas environment parameter set, an initial flow channel structure parameter set, and a material property data set; the gas environment parameter set characterizes the waste heat recovery requirement; An optimization module for optimizing the initial flow channel structure parameter set according to the pressure drop algorithm, the gas environment parameter set, and the material property data set to obtain a flow channel structure parameter set of the waste heat recovery device and determine the total heat transfer area of the waste heat recovery device; the flow channel structure parameter set and the total heat transfer area are used to manufacture the waste heat recovery device.

Images