Numerical simulation based performance optimization method and system for water separator of cooking oil

Abstract

The present application relates to a kind of numerical simulation-based performance optimization method and system of oil-water separator for catering, method includes: constructing oil-water separator three-dimensional full-size geometric model and dividing grid;Define flow field attribute, including steady / unsteady flow, gravity condition, turbulence model, water-oil two-phase multiphase flow model, material attribute and boundary condition;Initialize flow field and run numerical simulation calculation;For inflow oil content, water inflow velocity, dynamic viscosity, oil outlet setting, inlet pressure, grease particle size and so on Multiple parameters, execute numerical simulation by changing parameter value batch by batch;Based on the influence of multiple batch simulation results on the influence of each parameter on the influence of oil separation rate and grease enrichment effect, determine the optimal parameter combination.The present application realizes the comprehensive, efficient, low-cost parameterization evaluation of the performance of oil-water separator, and can provide scientific optimization basis for equipment research and development.

Description

Technical Field

[0001] This invention relates to the field of building drainage engineering technology, and in particular to a method and system for optimizing the performance of an oil-water separator for catering based on numerical simulation. Background Technology

[0002] With the advancement of urbanization, the proportion of catering businesses in public buildings, especially large commercial complexes, is increasing, making the treatment of catering wastewater a more prominent issue. The quality and quantity of catering wastewater are greatly affected by various factors such as the type of restaurant, operating hours, customer traffic, and drainage patterns, resulting in significant fluctuations and complex influent composition. Against this backdrop, ensuring the stable operation of oil-water separators under complex and variable conditions and achieving continuous compliance with effluent quality standards is a key requirement in the field of catering wastewater treatment.

[0003] According to relevant environmental regulations and emission standards, oily wastewater must be effectively treated by an oil-water separator to meet the prescribed standards before it can be discharged into the municipal sewer network. The oil-water separation effect of an oil-water separator is not determined by a single factor, but is influenced by a number of parameters. However, the industry currently lacks comprehensive theoretical research and systematic experimental data to support this.

[0004] When equipment manufacturers develop a new type of oil-water separator with a novel internal geometry, ideally, they would conduct comprehensive and systematic hydraulic experiments on all the aforementioned influencing parameters to accurately study, analyze, and evaluate the performance of the new product. However, due to various practical factors such as high testing costs, limited site resources, and lengthy testing cycles, there are currently few cases in the industry where such comprehensive hydraulic experiments and evaluations can be conducted on all potential influencing factors. In most cases, R&D testing can only be carried out on a limited number of typical operating conditions, making it difficult to fully reveal the performance of the new structure under different hydraulic conditions, especially under the complex and variable actual catering drainage conditions. This brings great uncertainty to product performance optimization, reliability verification, and market promotion.

[0005] Therefore, how to provide a comprehensive, systematic, and convenient method for evaluating the performance of newly developed oil-water separators under various hydraulic conditions has become an urgent technical problem to be solved. Numerical simulation technology, as a mature hydraulic research method, can simulate complex flow fields at a lower cost and with greater flexibility, providing a new approach to solving the above problems. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the existing technology by providing a numerical simulation-based method and system for optimizing the performance of oil-water separators for catering. This solves or partially solves the problem that the existing technology is limited by factors such as cost, cycle and site, making it impossible to conduct comprehensive and systematic hydraulic measurement and evaluation of the many parameters affecting the performance of oil-water separators for catering, which makes it difficult to conveniently determine the optimal combination of operating parameters for newly developed products under complex working conditions.

[0007] The objective of this invention can be achieved through the following technical solutions: One aspect of the present invention provides a method for performance optimization of an oil-water separator for catering based on numerical simulation, comprising the following steps: S1. Construct a model of the oil-water separator to be evaluated and perform numerical simulation calculations to obtain the numerical solution and result file of the flow field; S2 involves changing the value of at least one of the multiple parameters that affect oil-water separation performance, and repeating S1 to generate multiple batches of numerical simulation results. S3. Based on the results of the multiple batches of numerical simulations, analyze the influence of each parameter on the oil-water separation performance in order to determine the optimal parameter combination of the oil-water separator.

[0008] As a preferred technical solution, step S1 includes: S101, Construct a three-dimensional full-size geometric model of the oil-water separator to be evaluated and divide the computational mesh; S102, define the flow as steady or unsteady based on the test conditions; set gravity conditions; select the turbulence model; define the multiphase flow model as a water-oil two-phase mixture; define material properties, set water as the main phase and oil as the secondary phase, and configure the physical property parameters of the oil phase; set the inlet, outlet, and wall boundary conditions of the flow field; and set the solver. S103, initialize the flow field, run numerical simulation calculations, and obtain the numerical solution and result file of the flow field.

[0009] As a preferred technical solution, in step S102, the turbulence model is a k-ε model, the multiphase flow model is an Euler-Euler multiphase flow model, and the flow field is defined as unsteady flow when the inlet conditions involve pressure changes, otherwise it is defined as steady flow.

[0010] As a preferred technical solution, in step S102, the physical properties of the oil phase include: a density set to 910 kg / m³. 3 The dynamic viscosity was set to 0.1 kg / m·s or 0.35 kg / m·s according to the test conditions, and the oil droplet size was set to 50 μm, 100 μm, 300 μm or 500 μm.

[0011] As a preferred technical solution, step S102, the process of setting boundary conditions includes: The inlet boundary condition is set to velocity inlet, and the inlet flow velocity is selected according to the operating conditions as 0.25 m / s, 0.50 m / s, or 1.0 m / s. The oil phase volume fraction at the inlet is set to 0.1% or 1%. When pressure needs to be considered at the inlet, the model first runs at a velocity inlet until it stabilizes, and then switches to a pressure inlet. The inlet pressure is set to 10 kPa, 20 kPa, or 30 kPa; the outlet boundary condition is set to a pressure outlet. If the model has an independent oil outlet, its boundary condition is also set to a pressure outlet.

[0012] As a preferred technical solution, in step S102, the wall boundary condition adopts a standard wall function, and the wall roughness is 0.046mm.

[0013] As a preferred technical solution, in step S102, the solver is either the SIMPLE algorithm or the PISO algorithm, wherein the SIMPLE algorithm is selected when the flow field is steady and the PISO algorithm is selected when the flow field is unsteady.

[0014] As a preferred technical solution, in step S2, the multiple parameters include the inflow oil content, inflow water velocity, oil phase dynamic viscosity, whether an oil outlet is set, inlet pressure, and inflow oil particle size. When performing multiple batch simulations, single-factor variation tests are conducted on each parameter in turn.

[0015] As a preferred technical solution, step S3, analyzing the impact of various parameters on oil-water separation performance, includes the following steps: Based on the simulation results of each batch, the oil content and oil separation rate at the outlet are obtained, and the simulation cloud map is retrieved to analyze the oil enrichment inside the oil-water separator, so as to comprehensively evaluate the influence of parameters.

[0016] As a preferred technical solution, for a horizontal flow rectangular cavity oil-water separator, the optimal parameter combination is: The influent oil content is 0.1%, the influent flow rate is 0.25~0.50m / s, the dynamic viscosity of the oil phase is 0.10kg / m·s, the inlet pressure is gravity flow or pressure flow and the inlet pressure is ≤10kPa, a continuous oil discharge port is set, and the influent oil particle size is controlled to not exceed 300μm.

[0017] Another aspect of the present invention provides a performance optimization system for oil-water separators used in the catering industry based on numerical simulation, for implementing the aforementioned performance optimization method for oil-water separators used in the catering industry, the system comprising: The model building module is used to construct a full-size three-dimensional geometric model of the oil-water separator to be evaluated and to generate a computational mesh. The parameter configuration module is used to define the flow field properties: define the flow as steady or unsteady according to the test conditions, set the gravity conditions, select the turbulence model, define the multiphase flow model as water-oil two-phase mixed flow, set water as the main phase and oil as the secondary phase and configure the oil phase physical property parameters, set the inlet, outlet and wall boundary conditions of the flow field and the solver. The numerical solution module is used to initialize the flow field and run numerical simulation calculations to obtain the numerical solution and result file of the flow field. The batch processing and analysis module is used to change the value of at least one of the multiple parameters affecting the oil-water separation performance, and sequentially call the model building module, parameter configuration module and numerical solution module to generate multiple batches of numerical simulation results. Based on the multiple batches of numerical simulation results, the influence of each parameter on the oil-water separation performance is analyzed to determine the optimal parameter combination of the oil-water separator.

[0018] Compared with the prior art, the present invention has at least one of the following beneficial effects: (1) Shortened performance verification cycle: When equipment manufacturers develop new oil-water separators, they are limited by factors such as high test costs, limited site resources, and long test cycles, making it impossible to conduct comprehensive and systematic hydraulic test evaluations of all parameters affecting oil-water separation performance, resulting in insufficient product performance verification. This invention constructs a three-dimensional full-size geometric model consistent with the actual internal structure of the product, and uses computational fluid dynamics numerical simulation to replace physical test experiments with software simulation, thereby reducing the test costs and site dependence in the product development stage, making it possible to conduct comprehensive hydraulic performance evaluation of new oil-water separators.

[0019] (2) Achieving parameterized analysis of oil-water separation performance: The working conditions of catering wastewater are complex and varied. Many parameters such as influent oil content, flow rate, pressure, and oil particle size jointly affect the oil-water separation effect. The industry lacks a solution that can reveal the comprehensive influence of multiple factors in a one-time and systematic manner. This invention defines the multiphase flow model, boundary conditions and physical property parameters by parameterization, and relies on the batch processing and analysis module to perform single-factor or multi-factor batch numerical simulation tests on multiple parameters such as influent oil content, influent flow rate, dynamic viscosity, oil outlet setting, inlet pressure, and oil particle size. This realizes the parameterized and batch analysis of all key factors affecting oil-water separation performance, and can systematically reveal the influence of each single parameter and multi-parameter coupling condition on the oil separation rate and oil enrichment effect, filling the gap of existing technology lacking comprehensive theoretical research and experimental data guidance.

[0020] (3) Provide equipment manufacturers with clear product optimization directions and quantitative basis: In actual research and development, there is a lack of scientific methods to determine the optimal combination of operating parameters for new equipment performance. It is difficult to take into account both oil separation performance and economic indicators such as equipment cost and floor space. The product optimization direction is vague. This invention comprehensively analyzes indicators such as outlet oil content, oil separation rate and internal oil phase distribution cloud map based on multiple batch simulation results to evaluate the degree of influence of each parameter on performance. Combined with the economic considerations of actual engineering, the optimal parameter combination is gradually extracted. This invention can provide equipment manufacturers with clear product optimization directions and quantitative basis, and output specific guidance suggestions such as controlling the inlet flow rate, limiting the inlet pressure, setting a continuous oil discharge port, and controlling the inlet oil particle size. This helps newly developed products achieve the optimal oil separation performance while taking into account economic factors. Attached Figure Description

[0021] Figure 1 This is a flowchart of a performance optimization method for an oil-water separator used in catering based on numerical simulation, as shown in the embodiment. Figure 2 This is a flowchart illustrating the numerical solution and result file of the flow field obtained in the embodiment; Figure 3 This is a schematic diagram of a three-dimensional combined model of a certain type of oil-water separator without an independent oil outlet in the embodiment. Figure 4 This is a schematic diagram of a three-dimensional combined model of a certain type of oil-water separator with an independent oil outlet in the embodiment. Figure 5 The image shows the oil-water ratio contour plot of the oil-water separator in this embodiment. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0023] Example 1 To address the problems existing in the prior art, this embodiment provides a performance optimization method for oil-water separators used in catering based on numerical simulation. The main improvement lies in changing the value of at least one of the multiple parameters affecting oil-water separation performance, repeatedly performing numerical simulations to generate multiple batches of simulation results, and finally analyzing the impact of each parameter on oil-water separation performance to determine the optimal parameter combination for the oil-water separator. This embodiment utilizes numerical simulation technology to simultaneously construct a three-dimensional geometric model of a certain type of oil-water separator, see [link to documentation]. Figure 2 and Figure 3 , Figure 3 compared to Figure 2The only addition is a separate oil outlet; everything else remains the same. When constructing the 3D geometric model, the prototype was simplified, retaining only essential components as full-size models, such as inlet and outlet pipe diameters, elevation differences, and oil separators. This reduces the computational load and allows for focused study of key objectives, eliminating unnecessary redundant components that do not affect experimental results. Figure 2 (a) and Figure 3 After creating the 3D model corresponding to (a) in the numerical simulation software, use the automatic mesh generation function to generate a tetrahedral unstructured mesh, see [link to software]. Figure 2 (b) and Figure 3 (b)

[0024] See Figure 1 The method includes the following steps: S1. Construct a model of the oil-water separator to be evaluated and perform numerical simulation calculations to obtain the numerical solution and result file of the flow field.

[0025] See Figure 2 S1 includes the following sub-steps: S101, construct a three-dimensional full-size geometric model of the oil-water separator to be evaluated and divide it into computational meshes.

[0026] The construction result is as follows Figure 3 and Figure 4 As shown.

[0027] S102 defines the flow field properties.

[0028] The flow is defined as steady or unsteady based on the test conditions. Gravity conditions are set, a turbulent flow model is selected, and the multiphase flow model is defined as a water-oil two-phase mixture. Material properties are defined, water is set as the main phase and oil as the secondary phase, and the physical property parameters of the oil phase are configured. Inlet, outlet and wall boundary conditions of the flow field are set, and the solver is set.

[0029] Specifically, the basic properties of the flow field are defined sequentially: the time property is defined according to the relevant parameters of different test conditions, and is defined as steady flow or unsteady flow. When considering pressure at the inlet, it should be defined as unsteady flow, and the rest should be defined as steady flow.

[0030] The gravitational acceleration of the flow field is defined by selecting the gravity condition, and the gravity is set to -9.81 m / s². 2 Considering the effect of gravity.

[0031] The Ke model is selected to define the turbulence model; The multiphase flow model is defined as a two-phase mixture of water and oil.

[0032] The material is defined as having water as the primary phase and oil as the secondary phase. The oil phase parameters are defined differently depending on the specific experimental conditions, with a density of 910 kg / m³ and a dynamic viscosity defined as 0.1 or 0.35 kg / m³. -s Particle size is defined as 50 / 100 / 300 / 500 μm. Define boundary conditions, setting the inlet, outlet, and wall boundary conditions for the flow field. The inlet boundary condition is set as a velocity inlet, with the inlet velocity defined as 0.25 / 0.50 / 1.0 m / s based on relevant parameters for different test conditions, and the inlet oil phase volume fraction defined as 0.1% / 1% based on relevant parameters for different test conditions. When considering pressure at the inlet, the numerical model is first run as a velocity inlet and stabilized before being changed to a pressure inlet, with the inlet pressure defined as 10 / 20 / 30 kPa, etc., based on relevant parameters for different test conditions. The outlet boundary condition is set as a pressure outlet. Figure 3 The test object shown is an independent oil outlet, and its oil outlet boundary condition is defined as a pressure outlet. The wall boundary conditions are defined as standard wall functions, and the wall roughness properties are defined. The wall roughness is set to 0.046 mm based on the data provided by the product manufacturer.

[0033] Define the solver and select different adaptive algorithms based on the relevant parameters of different test conditions. Use the SIMPLE algorithm for steady flow and the PISO algorithm for unsteady flow. Keep the default values ​​for the rest.

[0034] S103, initialize the flow field, run numerical simulation calculations, and obtain the numerical solution and result file of the flow field.

[0035] Based on the model with set parameters obtained from S1, a set of partial differential equations, including information such as mesh, mass conservation, momentum conservation, and closed boundary conditions, is automatically established using numerical simulation software. The discretization and solution methods for the set of partial differential equations are also pre-set, allowing for iterative solutions. By further setting the residuals and iteration accuracy, initializing the flow field, and running the numerical simulation, the numerical solution of the flow field and its numerical file can be obtained.

[0036] S2 involves changing the value of at least one of the multiple parameters affecting oil-water separation performance, and repeating S1 to generate multiple batches of numerical simulation results.

[0037] Specifically, the steps include the following: 1. Test and compare the effects of different oil concentrations and flow rates in the influent on the performance of the oil-water separator. Specific parameter settings are shown in Table 1, and all other parameters remain the same.

[0038] Table 1. Numerical simulation experiment parameter settings in Phase 1 According to the various parameters in Table 1 and the steps S1~S2 of this embodiment, the numerical models of the first to third batches are established in sequence, and the experimental tests are carried out. The experimental results are output as shown in Table 2.

[0039] Table 2 shows the results of the numerical simulation parameterization experiment in Phase 1. Based on the analysis of Table 2, we can see that: (1) The performance of this type of oil-water separator is closely related to the inlet flow velocity, and is most affected by it. From the perspective of the effluent index, the oil separation rate is 0% when the flow velocity is 1 m / s; 50% when the flow velocity is 0.5 m / s; and 70% when the flow velocity is 0.25 m / s. That is, as the flow velocity increases, the oil content at the outlet increases significantly, the oil separation rate decreases significantly, and the oil separation effect deteriorates. Combining the actual working conditions of the project and the numerical simulation test results of stage 1 of this type of oil-water separator, considering that the oil-water separation effect is poor when the inlet flow velocity is high, i.e., 1 m / s, and the separation effect is best when the inlet flow velocity is low, i.e., 0.25 m / s, the flow velocity is low but the residence time of the oil-water separator is the longest and the volume is the largest, which will increase the equipment footprint and cost. In order to balance the oil-water separation performance and economic indicators, the inlet flow velocity of the subsequent stage of the test is defined as 0.50 m / s, and other parameters are gradually added to the study, so as to further improve the equipment performance and seek the optimal solution on this basis.

[0040] (2) The performance of this type of oil-water separator is also affected by the oil content at the inlet. Although the oil separation rate is the same, the oil content at the outlet is positively correlated with the oil content at the inlet. When the oil content at the inlet is high, the oil content at the outlet also increases, and the oil-water separation performance decreases. Considering the general properties of catering wastewater and relevant standards, the inlet oil content was defined as 0.10% in subsequent tests.

[0041] (3) Furthermore, the cloud maps from each of the above batches of numerical simulations can be retrieved. For example, see the cloud map from the second batch of experiments. Figure 5 .from Figure 5 As can be seen from the models, all models demonstrate effective oil-water separation within the oil separator, with the water content at the bottom of the tank approaching 100% and the grease rising to the top. Referring to Table 2, when the inlet oil content is 0.1% and 1%, the maximum oil content at the top of the oil-water separator is 0.4% and 3.2%, respectively, with oil collection ratios of 4 times and 3.2 times, respectively. This indicates that appropriately controlling the inlet oil content is beneficial for grease enrichment.

[0042] 2. Test and compare the effects of different dynamic viscosities on the performance of the oil-water separator. The specific parameter settings are shown in Table 3, and all other parameters remain the same.

[0043] Table 3. Numerical simulation experiment parameter settings in Phase 2 According to the various parameters in Table 3, combined with steps S1 to S2 of Example 1, the fourth batch of numerical models were established and the experimental tests were carried out. The experimental results were output as shown in Table 4.

[0044] Table 4. Results of Numerical Simulation Parameterization Experiments in Phase 2 Analysis of Table 4 shows that dynamic viscosity has almost no effect on the oil content at the outlet, remaining close to 0.05%, corresponding to an oil separation rate of 50%. However, the oil-water separation effect varies significantly across the entire tank; the lower the viscosity, the higher the oil content at the top, and the better the oil enrichment effect. Referring to Table 4, when the dynamic viscosity is 0.35 and 0.1, the maximum oil content at the top of the oil-water separator is 0.2% and 0.6%, respectively, with oil collection ratios of 2 and 6 times, respectively. This indicates that appropriately reducing the dynamic viscosity is beneficial for oil enrichment.

[0045] Based on the properties of catering wastewater, the dynamic viscosity was defined as 0.1 kg / m³ in subsequent experiments. -s .

[0046] 3. Test and compare the impact of whether or not an oil outlet is set on the performance of the oil-water separator. The specific parameter settings are shown in Table 5, and all other parameters remain the same.

[0047] Table 5. Numerical simulation experiment parameter settings in Phase 3 According to the various parameters in Table 5, combined with steps S1 to S2 of Example 1, the fifth batch of numerical models were established and the experimental tests were carried out. The experimental results were output as shown in Table 6.

[0048] Table 6. Results of Numerical Simulation Parameterization Experiments in Phase 3 As shown in Table 6, the oil separation rate increased from 50% to 85% with an oil outlet compared to without one, indicating a significant improvement in the performance of the oil-water separator. From the overall visualization of the tank, the maximum oil content in the oil-rich zone at the top of the tank with an oil outlet was 0.2%, nearly three times higher than the 0.6% maximum oil content in the same zone without an outlet. This difference is primarily due to the continuous oil discharge from the tank caused by the oil outlet.

[0049] Considering the operational performance of the oil-water separation project for catering wastewater, all subsequent tests will be conducted with an oil outlet.

[0050] 4. Test and compare the effects of different inlet pressures on the performance of the oil-water separator. Specific parameter settings are shown in Table 7, and all other parameters remain the same.

[0051] Table 7. Numerical simulation experiment parameter settings in Phase 4 According to the various parameters in Table 7, combined with steps S1 to S2 of Example 1, the sixth batch of numerical models were established and the experimental tests were carried out. The experimental results were output as shown in Table 8.

[0052] Table 8. Results of Numerical Simulation Parameterization Experiments in Phase 4 According to the analysis in Table 8, the inlet pressure has a significant impact on the oil content index at the outlet. As the inlet pressure increases, the oil separation rate decreases rapidly. When the inlet pressure is under four conditions: gravity flow, 10, 20, and 30 kPa, the oil separation rate at the outlet gradually decreases from 85% to 52%, 41%, and 33%, respectively.

[0053] To improve the oil-water separation effect of the oil-water separator, the inlet pressure should be controlled to keep it as close to the gravity flow state as possible, so as to improve the oil-water separation effect.

[0054] 5. Test and compare the effects of different inlet grease particle sizes on the performance of the oil-water separator. Specific parameter settings are shown in Table 9, and all other parameters remain the same.

[0055] Table 9. Numerical simulation experiment parameter settings in stage 5 According to the various parameters in Table 9, combined with steps S1 to S2 of Example 1, the seventh batch of numerical models were established and the experimental tests were carried out. The experimental results were output as shown in Table 10.

[0056] Table 10 Results of Numerical Simulation Parameterization Experiments in Phase 5 According to the analysis in Table 10, when the particle size is set to 50μm, 100μm, 200μm, and 500μm, the oil content at the outlet is 0%, 0%, 0.015%, and 0.0943%, respectively, which means the oil separation rate is 100%, 100%, 85%, and 5.7%, respectively. The above analysis shows that the oil particle size of different influent has a significant impact on the oil content index at the outlet. As the particle size increases, the oil separation rate first decreases slowly, and then decreases rapidly when the particle size increases from 300μm to 500μm.

[0057] Based on a review of literature on particle size analysis of oily wastewater, the oil particle size distribution in oily wastewater is around 300 μm. To further improve the performance of the oil-water separator, and in conjunction with the parametric performance simulation results from stage 5, the oil separation rate can be improved by appropriately controlling the oil particle size in the influent.

[0058] S3. Based on the results of the multiple batches of numerical simulations, analyze the influence of each parameter on the oil-water separation performance in order to determine the optimal parameter combination of the oil-water separator.

[0059] Through stages 1-5 above, a computer numerical simulation process is established, which can be used for the performance parameterization evaluation of newly developed oil-water separators for catering applications. This evaluation and analysis method can be used by oil-water separator manufacturers after developing new equipment. First, a three-dimensional numerical model consistent with the internal geometry of the separator is constructed. Then, batch-by-batch hydraulic numerical simulation tests are conducted on all factors affecting its oil-water separation performance, such as inflow velocity, inflow oil content, dynamic viscosity, whether a continuous oil drain port is set, inflow pressure, and inflow oil particle size. The oil separation performance of this type of oil-water separator is analyzed sequentially and comprehensively. The optimal parameterization combination is then scientifically evaluated under high-performance operation, gradually refining the optimal solution that promotes higher product performance standards. This can provide a reference for equipment manufacturers in developing new products.

[0060] For example, taking stages 1-5 above as an example, for a horizontal flow rectangular cavity oil-water separator, based on the parametric evaluation and analysis results of stages 1-5 above, the optimal parametric combination settings for optimal performance operation are as follows: inflow oil content 0.1% (900mg / L), inflow velocity 0.25~0.50m / s, dynamic viscosity 0.10 kg / ms, inlet pressure is best with gravity flow, if pressure flow is necessary, the inflow pressure should be controlled ≤10KPa and as close as possible to gravity flow, the oil outlet can be set to continuously discharge oil, and the inlet oil particle size should be controlled ≤300μm, etc.

[0061] It should be noted that this method can be applied to other types of oil-water separators besides horizontal flow rectangular cavity oil-water separators, including but not limited to vertical flow, inclined plate, and cylindrical types.

[0062] This method takes into account the significant differences in drainage patterns and influent water quality among various catering business formats. While newly developed equipment performs well under specific operating conditions, it lacks methods to predict its applicability and robustness under complex conditions. Numerical simulation can flexibly define the characteristics of different test conditions by changing boundary conditions such as inlet flow velocity, inlet oil concentration, and inlet pressure, simulating various real-world operating scenarios including gravity flow, pressure flow, and impact loads of different concentrations. This allows for the pre-assessment of the product's performance under various complex and variable conditions before its practical application, enhancing product reliability and market adaptability verification, and reducing the risk of failure in actual engineering applications.

[0063] Example 2 Based on Example 1, this example provides a performance optimization system for oil-water separators used in the catering industry based on numerical simulation, used to implement the performance optimization method for oil-water separators used in the catering industry in Example 1. The system includes: (1) Model building module, used to build a three-dimensional full-size geometric model of the oil-water separator to be evaluated and divide the computational mesh.

[0064] (2) Parameter configuration module. Used to define flow field properties, define the flow as steady or unsteady flow according to the test conditions, set gravity conditions, select turbulence model, define the multiphase flow model as water-oil two-phase mixed flow, set water as the main phase and oil as the secondary phase and configure oil phase physical property parameters, set the inlet, outlet and wall boundary conditions of the flow field and the solver; (3) Numerical solution module. Used to initialize the flow field and run numerical simulation calculations to obtain the numerical solution and result file of the flow field; (4) Batch processing and analysis module. This module is used to change the value of at least one of the multiple parameters affecting the oil-water separation performance, sequentially call the model building module, parameter configuration module, and numerical solution module to generate multiple batches of numerical simulation results, and analyze the impact of each parameter on the oil-water separation performance based on the multiple batches of numerical simulation results to determine the optimal parameter combination of the oil-water separator.

[0065] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for performance optimization of oil-water separators for catering applications based on numerical simulation, characterized in that, Includes the following steps: S1. Construct a model of the oil-water separator to be evaluated and perform numerical simulation calculations to obtain the numerical solution and result file of the flow field; S2 involves changing the value of at least one of the multiple parameters that affect oil-water separation performance, and repeating S1 to generate multiple batches of numerical simulation results. S3. Based on the results of the multiple batches of numerical simulations, analyze the influence of each parameter on the oil-water separation performance in order to determine the optimal parameter combination of the oil-water separator.

2. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 1, characterized in that, Step S1 includes: S101, Construct a three-dimensional full-size geometric model of the oil-water separator to be evaluated and divide the computational mesh; S102, define the flow as steady or unsteady based on the test conditions; set gravity conditions; select the turbulence model; define the multiphase flow model as a water-oil two-phase mixture; define material properties, set water as the main phase and oil as the secondary phase, and configure the physical property parameters of the oil phase; set the inlet, outlet, and wall boundary conditions of the flow field; and set the solver. S103, initialize the flow field, run numerical simulation calculations, and obtain the numerical solution and result file of the flow field.

3. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 2, characterized in that, In step S102, the turbulence model is the k-ε model, and the multiphase flow model is the Euler-Euler multiphase flow model. When the inlet conditions involve pressure changes, the flow field is defined as unsteady flow; otherwise, it is defined as steady flow.

4. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 2, characterized in that, In step S102, the physical properties of the oil phase include: a density set to 910 kg / m³. 3 The dynamic viscosity was set to 0.1 kg / m·s or 0.35 kg / m·s according to the test conditions, and the oil droplet size was set to 50 μm, 100 μm, 300 μm or 500 μm.

5. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 2, characterized in that, In step S102, the process of setting boundary conditions includes: The inlet boundary condition is set to velocity inlet, and the inlet flow velocity is selected according to the operating conditions as 0.25 m / s, 0.50 m / s, or 1.0 m / s. The oil phase volume fraction at the inlet is set to 0.1% or 1%. When pressure needs to be considered at the inlet, the model first runs at a velocity inlet until it stabilizes, and then switches to a pressure inlet. The inlet pressure is set to 10 kPa, 20 kPa, or 30 kPa; the outlet boundary condition is set to a pressure outlet. If the model has an independent oil outlet, its boundary condition is also set to a pressure outlet.

6. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 2, characterized in that, In step S102, the solver is either the SIMPLE algorithm or the PISO algorithm, wherein the SIMPLE algorithm is selected when the flow field is steady and the PISO algorithm is selected when the flow field is unsteady.

7. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 1, characterized in that, In step S2, the multiple parameters include the inflow oil content, inflow water velocity, oil phase dynamic viscosity, whether an oil outlet is set, inlet pressure, and inflow oil particle size. When performing multiple batch simulations, single-factor variation tests are conducted on each parameter in turn.

8. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 1, characterized in that, Step S3, analyzing the impact of each parameter on oil-water separation performance, includes the following steps: Based on the simulation results of each batch, the oil content and oil separation rate at the outlet are obtained, and the simulation cloud map is retrieved to analyze the oil enrichment inside the oil-water separator, so as to comprehensively evaluate the influence of parameters.

9. The method for performance optimization of a catering oil-water separator based on numerical simulation according to claim 8, characterized in that, For a horizontal flow rectangular cavity oil-water separator, the optimal parameter combination is: The influent oil content is 0.1%, the influent flow rate is 0.25~0.50m / s, the dynamic viscosity of the oil phase is 0.10kg / m·s, the inlet pressure is gravity flow or pressure flow and the inlet pressure is ≤10kPa, a continuous oil discharge port is set, and the influent oil particle size is controlled to not exceed 300μm.

10. A performance optimization system for an oil-water separator used in catering based on numerical simulation, characterized in that, For implementing the performance optimization method of the catering oil-water separator as described in any one of claims 1-9, the system comprises: The model building module is used to construct a full-size three-dimensional geometric model of the oil-water separator to be evaluated and to generate a computational mesh. The parameter configuration module is used to define the flow field properties: define the flow as steady or unsteady according to the test conditions, set the gravity conditions, select the turbulence model, define the multiphase flow model as water-oil two-phase mixed flow, set water as the main phase and oil as the secondary phase and configure the oil phase physical property parameters, set the inlet, outlet and wall boundary conditions of the flow field and the solver. The numerical solution module is used to initialize the flow field and run numerical simulation calculations to obtain the numerical solution and result file of the flow field. The batch processing and analysis module is used to change the value of at least one of the multiple parameters affecting the oil-water separation performance, and sequentially call the model building module, parameter configuration module and numerical solution module to generate multiple batches of numerical simulation results. Based on the multiple batches of numerical simulation results, the influence of each parameter on the oil-water separation performance is analyzed to determine the optimal parameter combination of the oil-water separator.

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