A method for evaluating technical limit energy consumption of a coking process

Abstract

The application discloses a coking process technical limit energy consumption evaluation method, comprising the following steps: S1. Obtain the historical production data of the coking process, available energy-saving technologies and thermal parameters in the production process, and construct a parameter database, an energy-saving technology library and a thermodynamic database of the coking process respectively; S2. Based on the parameter database, the energy-saving technology library and the thermodynamic database of the coking process, a data-driven model, an energy-saving technology model and a coke oven benchmark energy consumption model are constructed respectively, and a technical limit energy consumption model of the coking process is constructed in combination with the three models; S3. The production data of the coking process are obtained online, are input into the coke oven benchmark energy consumption model and the technical limit energy consumption model respectively, the benchmark energy consumption and the energy consumption after the application of the energy-saving technology are calculated, and comparative analysis is carried out, and the relevant parameter change amount, the energy-saving potential of the advanced technology and the contribution degree of each energy-saving technology to the reduction of energy consumption are given.

Description

Technical Field

[0001] This invention relates to the field of metallurgical energy conservation technology, and in particular to a method for assessing the ultimate energy consumption of coking processes. Background Technology

[0002] The steel industry is a resource- and energy-intensive industry. Energy consumption in the ironmaking process accounts for approximately 80% of the total energy consumption, with the coking process accounting for 19.18% of this. The coking process is the energy conversion unit of the entire steel enterprise; secondary energy produced by the coking plant accounts for about 70% of the total energy consumption of the steel enterprise, representing approximately 16% of its overall energy consumption. Therefore, this research focuses on the coking process.

[0003] A major problem currently troubling most coking plants is:

[0004] 1) The entire coking production process can be viewed as a "black box" model, with complex production conditions that lead to uncertainty in coke output during actual production. Operators cannot accurately determine the reasons for output changes, and this uncertainty poses a challenge to on-site operators.

[0005] 2) The energy-saving process in the coking process has gone through stages of individual equipment energy saving, system energy saving, and popularization of major energy-saving technologies, and has now shifted to the stage of energy flow network optimization. However, as energy-saving efforts in the coking process become more mature, the potential for further energy saving is shrinking. How to further save energy and how much energy saving potential remains have become urgent issues that coking plants need to address in their energy-saving efforts.

[0006] Therefore, it is necessary for us to conduct research and development to overcome the above-mentioned shortcomings. Summary of the Invention

[0007] The purpose of this invention is to provide a method for assessing the ultimate energy consumption of coking processes, aiming to provide theoretical support for assessing the energy consumption and energy-saving potential of coking processes and to help achieve the ultimate energy efficiency in coking processes.

[0008] The above-mentioned technical objective of the present invention is achieved through the following technical solution:

[0009] A method for assessing the ultimate energy consumption of a coking process includes the following steps:

[0010] S1. Obtain historical production data, available energy-saving technologies, and thermal parameters of the coking process, and construct parameter database, energy-saving technology database, and thermodynamic database for the coking process respectively;

[0011] S2. Based on the parameter database, energy-saving technology database, and thermodynamic database of the coking process, a data-driven model, an energy-saving technology model, and a coke oven benchmark energy consumption model are constructed respectively. The three models are then combined to construct a technical limit energy consumption model for the coking process.

[0012] S3. Acquire production data of the coking process online, input them into the coke oven baseline energy consumption model and the technical limit energy consumption model respectively, calculate the baseline energy consumption and the energy consumption after applying energy-saving technologies, and conduct comparative analysis to provide the changes in relevant parameters, the energy-saving potential of advanced technologies, and the contribution of each energy-saving technology to reducing energy consumption.

[0013] Furthermore, in constructing the coke oven benchmark energy consumption model, the benchmark operating conditions are first determined, and then, with heat balance as a constraint, the correlation formula is constructed by analyzing the interrelationship between input parameters and output parameters, thereby reflecting the input and output laws of materials and energy in the coking process, thus constituting the mechanism part of the benchmark energy consumption model for the coking process.

[0014] Furthermore, when establishing thermal equilibrium, regression analysis is performed based on the material composition and process parameters of the raw materials and fuels to calculate the specific heat capacity of the mixture.

[0015] Furthermore, in the process of constructing the coke oven benchmark energy consumption model, a data-driven approach is used to perform grey relational analysis on the production data of the coking process. After obtaining the significant characteristics of coke production, a data-driven model of the coking process is constructed.

[0016] Furthermore, after constructing the technical limit energy consumption model, the types of energy-saving technologies in the energy-saving technology library are determined, the action path of the energy-saving technology is clarified, and it is determined whether the energy-saving technology has a direct impact on the operating parameters of the coking process. If so, the best value that can be achieved at present is selected as the technical value based on the current application of the energy-saving technology. If not, the energy-saving effect of the technology is allocated to the corresponding operating parameters according to the action path of the energy-saving technology. Finally, the quantified technical value is used as the energy-saving technical parameter value of the coking process.

[0017] Furthermore, the energy consumption prediction model calculates the baseline energy consumption of the coking process using formula (1);

[0018]

[0019] Among them, E base The baseline energy consumption is the total energy consumption of the coking process without the application of any energy-saving technologies; i represents the use of different energy-consuming items or materials in the coking process; m represents the total number of energy-consuming items, that is, the total number of different energy-consuming items involved in the coking process; C i E is the reduction factor; i,base This indicates the contribution or importance of each energy consumption item i to the total energy consumption in the coking process.

[0020] Furthermore, the energy consumption prediction model calculates the energy consumption of applying energy-saving technologies under baseline operating conditions using formula (2);

[0021]

[0022] Among them, E t The technological limit energy consumption refers to the total energy consumption of the coking process after applying energy-saving technologies; m represents the total number of energy consumption items, that is, the total number of different energy consumption items involved in the coking process; C i E is the reduction factor; i,t Let i be the actual energy consumption of each energy consumption item i after applying energy-saving technology.

[0023] Furthermore, the energy consumption prediction model calculates the technological energy-saving potential of the coking process energy-saving transformation using formula (3);

[0024] dQ rzgx =E base -E t (3)

[0025] Among them, dQ rzgx This demonstrates the energy-saving potential of applying all energy-saving technologies to the coking process.

[0026] Furthermore, based on the calculation of the energy-saving potential of the coking process technology, the application contribution of a single energy-saving technology is calculated using formula (4):

[0027]

[0028] Among them, gxd 技术i Let dQ be the contribution value of the i-th energy-saving technology to the energy-saving potential of the coking process. 技术i The energy-saving potential of applying the i-th energy-saving technology under baseline operating conditions; Sum the energy-saving potentials of each technology; n is the total number of energy-saving technologies.

[0029] In summary, the present invention has the following beneficial effects:

[0030] Data analysis was used to identify the influencing factors of coke production and to predict the product output and energy consumption levels of the coking process. A technical quantification method was used to assess the technical limit energy consumption of the coking process under different technology application scenarios. An online assessment system for the limit energy consumption of the coking process was constructed. The interface functions include assessing the energy-saving effect of further transformation and upgrading of existing technologies, the energy-saving effect of adopting advanced energy-saving technologies, the technical limit energy consumption of the coking process, and important benchmarking indicators in the production process, such as coal consumption per unit area, coke yield, and coal gas yield. Attached Figure Description

[0031] Figure 1 This is a flowchart of the method for assessing the ultimate energy consumption of coking process technology as described in this invention.

[0032] Figure 2This is a roadmap for constructing the data-driven model of the coking process described in this invention.

[0033] Figure 3 This is a flowchart of the calculation process for the thermodynamic database described in this invention.

[0034] Figure 4 This is a quantitative logic diagram of the energy-saving technology described in this invention.

[0035] Figure 5 This is a calculation logic diagram of the technical limit energy consumption described in this invention. Detailed Implementation

[0036] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below with reference to the figures and specific embodiments.

[0037] like Figures 1 to 5 As shown, the present invention proposes a method for evaluating the ultimate energy consumption of a coking process, comprising the following steps:

[0038] S1. Obtain historical production data, available energy-saving technologies, and thermal parameters of the coking process, and construct parameter database, energy-saving technology database, and thermodynamic database for the coking process respectively;

[0039] S2. Based on the parameter database, energy-saving technology database, and thermodynamic database of the coking process, a data-driven model, an energy-saving technology model, and a coke oven benchmark energy consumption model are constructed respectively. The three models are then combined to construct a technical limit energy consumption model for the coking process.

[0040] S3. Acquire production data of the coking process online, input them into the coke oven baseline energy consumption model and the technical limit energy consumption model respectively, calculate the baseline energy consumption and the energy consumption after applying energy-saving technologies, and conduct comparative analysis to provide the changes in relevant parameters, the energy-saving potential of advanced technologies, and the contribution of each energy-saving technology to reducing energy consumption.

[0041] When constructing the benchmark energy consumption model of the coke oven, the benchmark operating conditions are first determined. Then, with heat balance as a constraint, the correlation is constructed by analyzing the interrelationship between input and output parameters, thereby reflecting the input and output laws of materials and energy in the coking process. This constitutes the mechanism part of the benchmark energy consumption model of the coking process.

[0042] When establishing thermal equilibrium, regression analysis is performed based on the material composition and process parameters of the raw materials and fuels to calculate the specific heat capacity of the mixture.

[0043] In the process of constructing the coke oven benchmark energy consumption model, a data-driven approach is used to perform grey relational analysis on the production data of the coking process. After obtaining the significant characteristics of coke production, a data-driven model of the coking process is constructed.

[0044] After constructing the energy consumption model of the technical limit, the types of energy-saving technologies in the energy-saving technology library are determined, the action path of the energy-saving technology is clarified, and it is determined whether the energy-saving technology has a direct impact on the operating parameters of the coking process. If so, the best value that can be achieved at present is selected as the technical value based on the current application of the energy-saving technology. If not, the energy-saving effect of the technology is allocated to the corresponding operating parameters according to the action path of the energy-saving technology. Finally, the quantified technical value is used as the energy-saving technical parameter value of the coking process.

[0045] Example

[0046] The core of this embodiment's mechanism- and data-based method for assessing the technological limits and energy-saving potential of coking processes is the construction of a baseline energy consumption model for the coking process. Based on this model, advanced energy-saving technologies are introduced, or existing energy-saving technologies are modified, thereby completing the assessment of the technological limits of energy consumption. For specific technical details, see [link to technical details]. Figure 1 and Figure 2 .

[0047] When constructing the baseline energy consumption model, the baseline operating conditions are first determined. Then, using heat balance as a constraint, correlation equations are constructed by analyzing the interrelationships between input and output parameters. This reflects the input and output patterns of materials and energy during the coking process, thus forming the mechanistic part of the baseline energy consumption model for the coking process. When constructing the heat balance, the specific heat capacity of the mixture needs to be calculated; the calculation process is described below. Figure 3 .

[0048] Because energy consumption and output in the coking process are affected by various factors and are subject to uncertainty in actual production, a data-driven approach is used in constructing the baseline energy consumption. First, grey relational analysis is performed on the production data of the coking process. After obtaining the significant characteristics of coke output, a data-driven model of the coking process is constructed, such as... Figure 2 .

[0049] In addition, since some data on-site is difficult to measure or is not measured in a timely manner, statistical methods are used for regression processing. Mechanism and data are coupled to form a baseline energy consumption model for the coking process based on the combination of mechanism and data. Then, different technology application scenarios are set, and the energy-saving effect of the technology is quantified by changing the operating parameters or effect parameters after the application of the technology, ultimately obtaining the technological limit energy consumption and energy-saving potential of the coking process. The specific calculation logic of the technological limit energy consumption of the coking process is as follows: Figure 4 and Figure 5 As shown.

[0050] By using methods to quantify the effects of advanced energy-saving technologies, their pathways of action are transformed into specific input parameters for simulation models. Specific quantification methods include... Figure 4 As shown, the process begins by understanding the advanced coking energy-saving technologies in the advanced energy-saving technology library, identifying the type of coking energy-saving technology, and then clarifying the action path of the energy-saving technology. It is determined whether the energy-saving technology has a direct impact on the operating parameters of the coking process. If so, the best achievable value is selected as the technical value based on the current application of the advanced energy-saving technology. If not, the energy-saving effect of the technology is allocated to a specific operating parameter according to its action path. Finally, the quantified technical value is used as the energy-saving technical parameter value for the coking process.

[0051] After quantifying the effects of advanced energy-saving technologies, the technological limit energy consumption of the coking process is calculated. Then, based on these calculations, the energy-saving potential of the coking process is assessed.

[0052] The energy consumption prediction model calculates the baseline energy consumption of the coking process using formula (1);

[0053]

[0054] Among them, E base The baseline energy consumption is the total energy consumption of the coking process without the application of any energy-saving technologies; i represents the use of different energy-consuming items or materials in the coking process; m represents the total number of energy-consuming items, that is, the total number of different energy-consuming items involved in the coking process; C i E is the reduction factor; i,base This indicates the contribution or importance of each energy consumption item i to the total energy consumption in the coking process.

[0055] The energy consumption prediction model calculates the energy consumption of applying energy-saving technologies under the baseline operating conditions using formula (2);

[0056]

[0057] Among them, E t The technological limit energy consumption refers to the total energy consumption of the coking process after applying energy-saving technologies; m represents the total number of energy consumption items, that is, the total number of different energy consumption items involved in the coking process; C i E is the reduction factor; i,t Let i be the actual energy consumption of each energy consumption item i after applying energy-saving technology.

[0058] The energy consumption prediction model calculates the technical energy-saving potential of the coking process energy-saving transformation using formula (3);

[0059] dQ rzgx =E base -E t (3)

[0061] Among them, dQ rzgx This demonstrates the energy-saving potential of applying all energy-saving technologies to the coking process.

[0062] Based on the calculation of the energy-saving potential of coking process technology, the application contribution of a single energy-saving technology is calculated using formula (4):

[0063]

[0064] Among them, dxd 技术i Let dQ be the contribution value of the i-th energy-saving technology to the energy-saving potential of the coking process. 技术i The energy-saving potential of applying the i-th energy-saving technology under baseline operating conditions; Sum the energy-saving potentials of each technology; n is the total number of energy-saving technologies.

[0065] Finally, based on the above model, a real-time display platform interface for the extreme energy consumption of the coking process technology was designed, with the front-end and back-end interaction framework as follows: Figure 1 The interface features include a setting interface for benchmark parameters of the coking process, the flow of materials and energy, the application status of energy-saving technologies, the energy-saving potential of the technologies, and a comparison of parameters and technical indicators before and after the application of energy-saving technologies.

[0066] In this document, the terms "upper," "lower," "front," "back," "left," "right," "top," "bottom," "inner," "outer," "vertical," and "horizontal," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only used for the clarity of expressing the technical solution and for the convenience of description, and therefore should not be construed as limiting the present invention.

[0067] In this document, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, which includes not only the elements listed but also other elements not expressly listed.

[0068] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A method for assessing the ultimate energy consumption of a coking process, characterized in that, Includes the following steps: S1. Obtain historical production data, available energy-saving technologies, and thermal parameters of the coking process, and construct parameter database, energy-saving technology database, and thermodynamic database for the coking process respectively; S2. Based on the parameter database, energy-saving technology database, and thermodynamic database of the coking process, a data-driven model, an energy-saving technology model, and a benchmark energy consumption model of the coke oven are constructed respectively. The three models are combined to construct a technical limit energy consumption model for the coking process. S3. Acquire production data of the coking process online, input them into the coke oven baseline energy consumption model and the technical limit energy consumption model respectively, calculate the baseline energy consumption and the energy consumption after applying energy-saving technologies, and conduct comparative analysis to provide the changes in relevant parameters, the energy-saving potential of advanced technologies, and the contribution of each energy-saving technology to reducing energy consumption.

2. The method for assessing the technological limits of coking processes according to claim 1, characterized in that, When constructing the benchmark energy consumption model of the coke oven, the benchmark operating conditions are first determined. Then, with heat balance as a constraint, the correlation is constructed by analyzing the interrelationship between input and output parameters, thereby reflecting the input and output laws of materials and energy in the coking process. This constitutes the mechanism part of the benchmark energy consumption model of the coking process.

3. The method for assessing the technological limits of coking processes according to claim 2, characterized in that, When establishing thermal equilibrium, regression analysis is performed based on the material composition and process parameters of the raw materials and fuels to calculate the specific heat capacity of the mixture.

4. The method for assessing the ultimate energy consumption of coking processes according to claim 3, characterized in that, In the process of constructing the coke oven benchmark energy consumption model, a data-driven approach is used to perform grey relational analysis on the production data of the coking process. After obtaining the significant characteristics of coke production, a data-driven model of the coking process is constructed.

5. The method for assessing the ultimate energy consumption of coking processes according to claim 4, characterized in that, After constructing the energy consumption model of the technical limit, the types of energy-saving technologies in the energy-saving technology library are determined, the action path of the energy-saving technology is clarified, and it is determined whether the energy-saving technology has a direct impact on the operating parameters of the coking process. If so, the best value that can be achieved at present is selected as the technical value based on the current application of the energy-saving technology. If not, the energy-saving effect of the technology is allocated to the corresponding operating parameters according to the action path of the energy-saving technology. Finally, the quantified technical value is used as the energy-saving technical parameter value of the coking process.

6. The method for assessing the technological limits of coking processes according to claim 1, characterized in that, The energy consumption prediction model calculates the baseline energy consumption of the coking process using formula (1); Among them, E base The baseline energy consumption is the total energy consumption of the coking process without the application of any energy-saving technologies; i represents the use of different energy-consuming items or materials in the coking process; m represents the total number of energy-consuming items, that is, the total number of different energy-consuming items involved in the coking process; C i E is the reduction factor; i,base This indicates the contribution or importance of each energy consumption item i to the total energy consumption in the coking process.

7. The method for assessing the technological limit energy consumption of coking processes according to claim 1, characterized in that, The energy consumption prediction model calculates the energy consumption of applying energy-saving technologies under the baseline operating conditions using formula (2); Among them, E t The technological limit energy consumption refers to the total energy consumption of the coking process after applying energy-saving technologies; m represents the total number of energy consumption items, that is, the total number of different energy consumption items involved in the coking process; C i E is the reduction factor; i,t Let i be the actual energy consumption of each energy consumption item i after applying energy-saving technology.

8. The method for assessing the technological limits of coking processes according to claim 1, characterized in that, The energy consumption prediction model calculates the technical energy-saving potential of the coking process energy-saving transformation using formula (3); dQ rzgx =E base -E t (3) Among them, dQ rzgx This demonstrates the energy-saving potential of applying all energy-saving technologies to the coking process.

9. The method for assessing the technological limits of coking processes according to claim 8, characterized in that, Based on the calculation of the energy-saving potential of coking process technology, the application contribution of a single energy-saving technology is calculated using formula (4): Among them, gxd 技术i Let dQ be the contribution value of the i-th energy-saving technology to the energy-saving potential of the coking process. 技术 The energy-saving potential of applying the i-th energy-saving technology under baseline operating conditions; Sum the energy-saving potentials of each technology; n is the total number of energy-saving technologies.

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