Industrial technology-based pollution reduction and carbon reduction collaborative path optimization method and system

Abstract

The invention provides a pollution reduction and carbon reduction cooperation path optimization method and system based on an industry technology. The method comprises the following steps: selecting one or more production processes or technical improvement technologies of any industry in pollution reduction and carbon reduction cooperation technology data of each industry; for the production processes selected by each industry, determining one of the production processes as a reference production process; solving the optimal activity level of each technology on the basis of satisfying each constraint based on a linear programming mode; calculating the consumption required by emission reduction of each unit of emissions; calculating the total emission reduction of each technology under the optimal activity level condition of each technology; and constructing a marginal emission reduction consumption curve to obtain the priority of the inter-industry and intra-industry pollution reduction and carbon reduction technology application. The method has the advantages that various technical selections and activity level quantification of various emissions under the multi-constraint condition and the lowest emission reduction consumption target are realized; the complexity of model operation is effectively reduced, and the system operation efficiency is improved.

Description

Technical Field

[0001] This application belongs to the field of carbon emission reduction and air pollution control, and specifically relates to a method and system for optimizing the collaborative path of pollution reduction and carbon emission reduction based on industry technologies. Background Art

[0002] Currently, jointly promoting pollution reduction and carbon emission reduction has become an inevitable choice for countries to develop a green economy. Among them, clarifying the optimized technical path is an important way to achieve the coordinated development of pollution reduction and carbon emission reduction. To promote the coordinated development of pollution reduction and carbon emission reduction, various enterprises and research institutions have proposed numerous pollution reduction and carbon emission reduction collaborative technologies, and some technologies have been applied or demonstrated through pilot projects. However, due to the large number of industries involved in pollution reduction and carbon emission reduction, the complex types of technologies, and the relatively high transformation costs, it is necessary to optimize carbon emission reduction and carbon sink enhancement measures that have room for overall coordination in terms of technical-economic-environmental characteristics in order to achieve the coordinated development of pollution reduction and carbon emission reduction in the optimal way.

[0003] Currently, various models have been developed at home and abroad for analyzing the carbon or pollutant emission reduction technical paths of different industries, such as MESSAGEix, TIMEs, and GGAM, etc. However, such models have the following deficiencies: (1) The learning cost of such models is relatively high, involving a large number of parameters, formulas, and codes, etc., and it is impossible to understand the calculation methods and processes of the models in a short period. (2) The operation cost of such models is relatively high, requiring a certain foundation of computer software and hardware, and the operation is relatively complex. (3) The operation of such models requires a large amount of basic data support, and it is impossible to quickly carry out the analysis of the pollution reduction and carbon emission reduction technical paths of industries.

[0004] The Chinese invention patent "A Method for Evaluating the Effect of Pollution Reduction and Carbon Emission Reduction in Power Plants" with publication number CN 118396239A discloses an evaluation method, which specifically includes: first, obtaining the change correlation indicators of every two emissions according to the correlation at the level of the change characteristics of the emission parameters before and after improvement; secondly, obtaining the overall deviation standard correlation indicators of each emission according to the deviation standard correlation indicators between each emission and all other emissions; and then adjusting the initial weights according to the overall change correlation indicators and the overall deviation standard correlation indicators of each emission to obtain the corrected weights of each emission; finally, evaluating the effect of pollution reduction and carbon emission reduction.

[0005] This invention patent is an evaluation of the pollution reduction and carbon emission reduction effects of technologies related to the power industry and cannot be applied to the evaluation of the pollution reduction and carbon emission reduction effects of technologies related to other industries. At the same time, this invention patent cannot prioritize the application of various technologies based on the evaluation results, and thus cannot clarify the application paths of various pollution reduction and carbon emission reduction technologies in the power industry and other industries at the optimal activity level. Summary of the Invention

[0006] The purpose of this application is to overcome the defects of the prior art, which are difficult to implement and require a large amount of basic data support.

[0007] To achieve the above object, this application proposes a method for optimizing the collaborative path of pollution reduction and carbon emission reduction based on industry technologies, including:

[0008] Step S1: Select one or more production processes or technological transformation technologies of any industry from the collaborative technology data of pollution reduction and carbon emission reduction in each industry; for each selected production process of each industry, determine one production process as the benchmark production process;

[0009] Step S2: Solve for the optimal activity level of each technology based on linear programming while satisfying various constraints;

[0010] Step S3: Calculate the cost required for each unit of emissions reduction;

[0011] Step S4: Calculate the total emissions reduction of each technology under the condition of the optimal activity level of each technology;

[0012] Step S5: Construct a marginal emissions reduction cost curve to obtain the priority order of pollution reduction and carbon emission reduction technology applications between and within industries.

[0013] As an improvement of the above method, the collaborative technology data of pollution reduction and carbon emission reduction in each industry includes two types of technology types: production processes and technological transformation technologies, and four types of parameter types: benchmark information, cost information, emissions reduction information, and operation information;

[0014] Among them, the emission factors of production processes and the emission reduction potentials of technological transformation technologies both include information on 5 types of emissions: CO2, particulate matter, SO2, NOx, and VOCs.

[0015] As an improvement of the above method, the formula for solving by the linear programming method is:

[0016]

[0017] where, x i,t is the activity level of technology t belonging to industry i; a i,t and b i,t are respectively the lower limit and upper limit of the activity level of technology t belonging to industry i; C i,t is the total unit cost of technology t belonging to industry i; Demand i is the total demand of industry i; R i,t,e is the unit emission reduction potential of technology t belonging to industry i for emission type e; target e is the emission reduction target of emissions.

[0018] As an improvement of the above method, calculating the cost required to reduce one unit of emissions includes:

[0019] AC i,t,e = C i,t / R i,t,e

[0020] Where AC i,t,e is the unit emission reduction cost of technology t belonging to industry i for emissions e; C i,t is the total unit cost of technology t belonging to industry i; R i,t,e is the unit emission reduction potential of technology t belonging to industry i for emission type e.

[0021] As an improvement of the above method, calculating the total emission reduction of each technology under the optimal activity level of each technology includes:

[0022] TR i,t,e = x i,t ·R i,t,e

[0023] Where TR i,t,e is the total emission reduction of technology t belonging to industry i for emissions e; R i,t,e is the unit emission reduction potential of technology t belonging to industry i for emission type e; x i,t is the activity level of technology t belonging to industry i.

[0024] As an improvement of the above method, constructing the marginal emission reduction cost curve to obtain the priority order of pollution reduction and carbon emission reduction technology applications between and within industries includes:

[0025] Based on the total emission reduction potential TR of each technology i,t,e and the unit emission reduction cost AC i,t,e construct the marginal emission reduction cost curve; the abscissa of the marginal emission reduction cost curve is the emission reduction potential, and the ordinate is the unit emission reduction cost;

[0026] Each technology forms a column based on its total emission reduction potential TR i,t,e and the unit emission reduction cost AC i,t,e Arrange the columns of each technology in ascending order according to the unit emission reduction cost AC i,t,e and fit the upper midpoints of all columns with a linear, quadratic or exponential function to obtain a continuous marginal emission reduction cost curve;

[0027] Based on the marginal abatement cost curve, clarify the priority order of pollution reduction and carbon emission reduction technology applications among industries and within industries: Under the emission reduction target, give priority to promoting pollution reduction and carbon emission reduction in industries with lower marginal abatement costs. When the marginal abatement cost of this industry exceeds that of other industries, switch to carry out pollution reduction and carbon emission reduction in other industries; within an industry, give priority to applying the technology with the lowest unit abatement cost, and gradually apply other technologies with higher unit abatement costs.

[0028] As an improvement of the above method, before step S2, it also includes: checking whether it can be solved by linear programming:

[0029] Check whether the upper limit of the total activity level of the selected technology in the industry is greater than or equal to the total demand of the industry;

[0030] Check whether the emission reduction target of the emissions is greater than or equal to 0; and

[0031] Check whether the total emission reduction potential of various emissions of the selected technology under the condition of its activity level upper limit is greater than the emission reduction target of the emissions.

[0032] This application also provides a pollution reduction and carbon emission reduction collaborative path optimization system based on industry technologies, which is implemented based on the above method. The system includes:

[0033] A database module for storing pollution reduction and carbon emission reduction collaborative technology data of each industry;

[0034] A data screening module for selecting one or more production processes or technological transformation technologies of any industry from the pollution reduction and carbon emission reduction collaborative technology data of each industry; for each selected production process of each industry, determine one production process as the benchmark production process;

[0035] An optimal activity level determination module for solving the optimal activity levels of various technologies based on linear programming while satisfying various constraints;

[0036] A unit emission cost calculation module for calculating the cost required to reduce one unit of emissions;

[0037] A total emission reduction amount calculation module for each technology to calculate the total emission reduction amount of each technology under the optimal activity levels of various technologies;

[0038] A pollution reduction and carbon emission reduction technology application order obtaining module for constructing a marginal abatement cost curve to obtain the priority order of pollution reduction and carbon emission reduction technology applications among industries and within industries.

[0039] Compared with the prior art, the advantages of this application are:

[0040] 1. The present invention establishes a complete set of optimization methods for the collaborative path of pollution reduction and carbon emission reduction technologies in multiple industries. Through the optimization of technologies in multiple industries, the technical options and the quantification of their activity levels for various emissions under multiple constraints and the goal of minimizing emission reduction costs are achieved.

[0041] 2. This application provides 442 pieces of technical data for more than a dozen industries in China by constructing a database module, significantly reducing the cost of data collection and providing basic data support for the analysis of pollution reduction and carbon emission reduction technology paths.

[0042] 3. This application simultaneously considers the CO2 emission reduction of technologies and the emission reduction of four types of emissions, namely particulate matter, SO2, NOx, and VOCs. It not only constructs the marginal emission reduction cost curve of carbon but also constructs the marginal emission reduction cost curves of the four types of pollutants.

[0043] 4. The path optimization module of this application screens out three core constraint conditions in the existing path optimization system, effectively reducing the complexity of model operation and improving the system operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 Shown is a flow chart of the optimization method for the collaborative path of pollution reduction and carbon emission reduction based on industry technologies;

[0045] Figure 2 Shown is a marginal emission reduction cost curve graph;

[0046] Figure 3 Shown is an architecture diagram of the optimization system for the collaborative path of pollution reduction and carbon emission reduction based on industry technologies. DETAILED DESCRIPTION OF THE INVENTION

[0047] The technical solutions of this application will be described in detail below with reference to the accompanying drawings.

[0048] Example 1

[0049] As Figure 1 shown, the present invention provides an optimization method for the collaborative path of pollution reduction and carbon emission reduction based on industry technologies, which is used to find the optimal way to achieve the collaborative development path of pollution reduction and carbon emission reduction. This method uses the collaborative technology data of pollution reduction and carbon emission reduction in each industry and adopts the linear programming method to determine the optimal combination of technology paths under the corresponding emission reduction targets.

[0050] The collaborative technology data of pollution reduction and carbon emission reduction in each industry includes two types of technology categories, namely production processes and technological transformation technologies, and four types of parameter categories, namely reference information, cost information, emission reduction information, and operation information. Among them, the production process refers to the whole-process technology in the production process of a certain type of product, such as coal-fired power generation, blast furnace ironmaking, etc. The technological transformation technology refers to the mechanical transformation technology of a certain link in the production process, such as waste heat recovery and utilization technology, etc.

[0051] The production process includes a total of 10 parameters: time benchmark, scale benchmark, investment cost, fixed cost, variable cost, emission factor, operating life, utilization rate, penetration rate, and standard coal consumption. Among them, the emission factors of the production process and the emission reduction potential of the technological transformation technology both include information on 5 types of emissions: CO2, particulate matter, SO2, NOx, and VOCs, thus providing support for the analysis of pollution reduction and carbon emission reduction collaborative technologies; the emission factor refers to the emissions of carbon dioxide, particulate matter, SO2, NOx, and VOCs per unit output of the technology; the fixed cost refers to the annual fixed expenditure costs in the unit-scale production of each technology, such as fixed equipment maintenance costs and employee salary costs, also known as operating costs; the variable cost refers to the costs required for purchasing raw materials, fuels, etc. in unit-scale production; the operating life refers to the service life of the technology; the utilization rate refers to the ratio of the time the technology can operate in a year to the whole year; the penetration rate refers to the application ratio of various technologies producing the same product across China; the standard coal consumption refers to the energy consumed per unit of product produced and converted into standard coal volume;

[0052] The technological transformation technology includes a total of 7 parameters: time benchmark, scale benchmark, investment cost, emission reduction potential, energy conservation potential, operating life, and penetration rate. Among them, the time benchmark refers to the time when the technical parameters are collected or the technology starts to be applied; the scale benchmark refers to the annual production scale corresponding to the technical parameters; the investment cost refers to the investment amount per unit scale of each technology; the emission reduction potential refers to the emissions of carbon dioxide, particulate matter, SO2, NOx, and VOCs that can be reduced per unit of product produced after the technology is applied; the energy conservation potential refers to the amount of energy that can be saved per unit of product produced after the technology is applied.

[0053] The method for optimizing the pollution reduction and carbon emission reduction collaborative path based on industry technologies includes:

[0054] Step 1: Technology selection. Select one or more production processes or technological transformation technologies of any one industry from the pollution reduction and carbon emission reduction collaborative technology data of each industry. At the same time, for each selected production process in each industry, one production process needs to be determined as the benchmark production process. The emission factor of this benchmark production process will be used as the benchmark for other production processes in this industry to calculate the emission reduction potential of other production processes.

[0055] Step 2: Confirmation of technical parameters. Confirm the default technical parameters of the selected technology. Among them, the parameters that can be modified for the production process include 5 parameters: investment cost, fixed cost, variable cost, emission factor (including the emission factors of 5 types of emissions: CO2, particulate matter, SO2, NOx, and VOCs), and operating life. The parameters that can be modified for the technological transformation technology include 4 parameters: investment cost, fixed cost, emission reduction potential (including the emission reduction potential of 5 types of emissions: CO2, particulate matter, SO2, NOx, and VOCs), and operating life.

[0056] Step 3: Determine the constraints. Determine the three constraints required for technology optimization:

[0057] Constraint 1: For any technology, its output should be within a certain range, that is, there is a maximum and a minimum output. Therefore, it is necessary to impose upper and lower bounds on the technology output, namely the lower bound and upper bound of the activity level. Among them, the minimum value of the lower bound of the activity level is 0, the maximum value of the upper bound of the activity level is infinity, and the upper bound of the activity level should be greater than or equal to the lower bound of the activity level. The formula is as follows:

[0058] ACT i,t,min ≤ACT i,t ≤ACT i,t,max #(1)

[0059] Among them, ACT i,t is the activity level of technology t belonging to industry i; ACT i,t,min is the lower bound of the activity level of this technology; ACT i,t,max is the upper bound of the activity level of this technology.

[0060] Constraint 2: For an industry, the output of its various technologies should meet the overall demand level of the industry. Therefore, it is necessary to impose a constraint on the total output of the industry, that is, the demand level constraint. The formula is as follows:

[0061]

[0062] Among them, Demand i is the total demand for the products produced by industry i.

[0063] Constraint 3: To achieve carbon and pollutant reduction, the selected technologies should achieve a certain degree of carbon and pollutant emission reduction. Therefore, it is necessary to impose an emission reduction target constraint. The formula is as follows:

[0064]

[0065] Among them, Target e is the emission reduction target for carbon or pollutant e. AP i,t,e is the emission reduction potential of each technology t in industry i for pollutant e.

[0066] Step 4: Preliminary check for solvability. To ensure that after Steps 1 to 3, the set benchmark technologies, parameters, and constraints can achieve the linear programming optimization in the subsequent steps, this step will conduct a preliminary check on the set benchmark technologies, parameters, and constraints. A total of three checks are carried out:

[0067] Check 1: If a certain industry selects a production process, check whether the benchmark production process of this industry is set. If the benchmark production process is not set, an error will be reported.

[0068] Check 2: Check the upper limit of the total activity level of the selected technology in a certain industry, i.e., ∑ i,t ACT i,t,max , whether it is greater than or equal to the total demand Demand of this industry i . If it is less than the total demand of this industry, an error will be reported.

[0069] Check 3: Check the emission reduction target Pollution_reduction of emissions e whether it is greater than or equal to 0. If it is less than 0, an error will be reported.

[0070] Step Five: Calculate the emission reduction potential per unit of production process. For the production process, its emission reduction potential is calculated by the following formula:

[0071] R i,t,e =(EF i,baseline,e -EF i,t,e )#(4)

[0072] where R i,t,e is the emission reduction potential per unit of technology t belonging to industry i for emission type e. EF i,baseline,e is the emission factor of the emissions involved in the baseline production process of this industry; EF i,t,e is the emission factor of the emissions involved in the selected production process of this industry.

[0073] Step Six: Second check for solvability. To ensure that the emission reduction potential calculated in Step Five can achieve the optimization of linear programming in subsequent steps, this step will check the emission reduction potential of the selected technology and the constraints in Step Three.

[0074] A total of 1 check is carried out:

[0075] Check 1: Check whether the total emission reduction potential of various emissions of the selected technology (including production process and machinery modification technology) under its activity level upper limit is greater than the emission reduction target of emissions, i.e., judge:

[0076]

[0077] If the total emission reduction potential of various emissions of the selected technology under its activity level upper limit is less than the emission reduction target of emissions, an error will be reported.

[0078] Step Seven: Calculate the unit total cost. The unit total cost here refers to the total cost required to produce one unit of product. The unit total cost is equal to the annualized investment cost plus the fixed cost plus the variable cost. Among them, the calculation formula for the annualized investment cost is:

[0079] ACC i,t =CRF×IC i,t #(6)

[0080] CRF = r×(r + 1) y / [(r + 1) y - 1]#(7)

[0081] Where ACC i,t is the annualized investment cost of technology t belonging to industry i. IC i,t is the investment cost of this technology. CRF is the capital recovery factor. y is the service life of this technology. r is the discount rate, defaulting to 7%, and can also be changed to any value.

[0082] Then the formula for calculating the total unit cost of technology t belonging to industry i is:[[]]

[0083] C i,t = ACC i,t + FC i,t + VC i,t #(8)

[0084] Where C i,t is the total unit cost of technology t belonging to industry i. FC i,t is the fixed cost of this technology. VC i,t is the variable cost of this technology.

[0085] Step Eight: Solve by linear programming. Based on the total unit cost obtained from formula (8) and the constraints of formulas (1) to (3), the optimal activity levels of each technology can be solved by linear programming on the basis of meeting various constraints. Its theoretical mathematical model is:[[]]

[0086]

[0087] Where x i,t is the activity level of technology t belonging to industry i. a i,t and b i,t are the lower limit and upper limit of the activity level of this technology respectively.

[0088] Step Nine: Calculate the unit emission reduction cost. The unit emission reduction cost here refers to the cost required to reduce one unit of emissions. Its calculation formula is:[[]]

[0089] AC i,t,e = C i,t / R i,t,e #(10)

[0090] Where AC i,t,e is the unit emission reduction cost of technology t belonging to industry i for emissions e.

[0091] Step Ten: Calculate the total emission reduction potential of the technology. The total emission reduction potential here refers to the total emission reduction amount of each technology under the activity level obtained from formula (9). Its calculation formula is;

[0092] TR i,t,e = x i,t ·R i,t,e #(11)

[0093] Among them, TR i,t,e is the total emission reduction of technology t belonging to industry i for pollutant e.

[0094] Step Eleven: Construct the marginal emission reduction cost curve. Based on the total emission reduction potential TR i,t,e and the unit emission reduction cost AC i,t,e of each technology, construct the marginal emission reduction cost curve. The abscissa is the emission reduction potential, and the ordinate is the unit emission reduction cost. Each technology can form a column based on its total emission reduction potential TR i,t,e and the unit emission reduction cost AC i,t,e . By arranging the columns of each technology in ascending order according to the unit emission reduction cost AC i,t,e , the marginal emission reduction cost curve can be formed, that is, as the degree of pollution reduction and carbon emission reduction deepens, the marginal emission reduction cost increases continuously. On this basis, the upper midpoints of all columns can be fitted by linear, quadratic, exponential functions, etc., and a continuous marginal emission reduction cost curve can be obtained, as shown in Figure 2 .

[0095] Based on the marginal emission reduction cost, the priority order of pollution reduction and carbon emission reduction technology applications among and within industries can be determined. Under a certain emission reduction target, industries with lower marginal emission reduction costs should be given priority to carry out pollution reduction and carbon emission reduction ( Figure 2 Industry A). When the marginal emission reduction cost of this industry exceeds the marginal emission reduction cost of other industries ( Figure 2 point a in Figure 2 ), the pollution reduction and carbon emission reduction of other industries can be switched to (

[0096] Example 2

[0097] This application also provides a pollution reduction and carbon emission reduction collaborative path optimization system based on industry technologies, which is implemented based on the above method. The system includes:

[0098] A database module for storing pollution reduction and carbon emission reduction collaborative technology data of each industry;

[0099] A data screening module for selecting one or more production processes or technological transformation technologies of any industry from the pollution reduction and carbon emission reduction collaborative technology data of each industry; for each selected production process of each industry, determine one production process as the benchmark production process;

[0100] An optimal activity level determination module for solving the optimal activity levels of various technologies based on linear programming while satisfying various constraints;

[0101] A unit emissions cost calculation module for calculating the cost required to reduce emissions by one unit;

[0102] A total emissions reduction calculation module for each technology to calculate the total emissions reduction of each technology under the optimal activity levels of various technologies;

[0103] A pollution reduction and carbon emission reduction technology application order obtaining module for constructing a marginal emissions reduction cost curve to obtain the priority order of pollution reduction and carbon emission reduction technology applications between and within industries.

[0104] This application can also provide a computer device, including: at least one processor, a memory, at least one network interface, and a user interface. Each component in the device is coupled together through a bus system. It can be understood that the bus system is used to realize the connection and communication between these components. In addition to the data bus, the bus system also includes a power bus, a control bus, and a status signal bus.

[0105] Among them, the user interface can include a display, a keyboard, or a pointing device. For example, a mouse, a trackball, a touchpad, or a touch screen, etc.

[0106] It can be understood that the memory in the disclosed embodiments of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable ROM (PROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and direct rambus RAM (DRRAM). The memories described herein are intended to include but not be limited to these and any other suitable types of memories.

[0107] In some embodiments, the memory stores the following elements, executable modules or data structures, or subsets or supersets thereof: an operating system and application programs.

[0108] Among them, the operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., and is used to implement various basic services and process hardware-based tasks. The application programs include various application programs, such as a media player and a browser, etc., and are used to implement various application services. The program for implementing the method of the disclosed embodiments of the present application can be included in the application programs.

[0109] In the above embodiments, by calling the programs or instructions stored in the memory, specifically, the programs or instructions stored in the application programs, the processor is configured to:

[0110] Execute the steps of the above method.

[0111] The above method can be applied to or implemented by a processor. The processor may be an integrated circuit chip with the ability to process signals. In the implementation process, each step of the above method can be completed by the integrated logic circuit of the hardware in the processor or the instructions in the form of software. The above-mentioned processor may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. It can implement or execute the various methods, steps and logic block diagrams disclosed above. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. Combining the steps of the above-disclosed method can be directly embodied as being executed and completed by a hardware decoding processor, or by a combination of the hardware and software modules in the decoding processor. The software module may be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. This storage medium is located in the memory, and the processor reads the information in the memory and combines its hardware to complete the steps of the above method.

[0112] It can be understood that the embodiments described in this application can be implemented by hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), general-purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described in this application, or a combination thereof.

[0113] For software implementation, the technology of this application can be implemented by executing the functional modules of this application (such as procedures, functions, etc.). The software code can be stored in the memory and executed by the processor. The memory can be implemented inside or outside the processor.

[0114] The present application may also provide a non-volatile storage medium for storing a computer program. When the computer program is executed by a processor, each step in the above method embodiments can be implemented.

[0115] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them. Although the present application has been described in detail with reference to the embodiments, those of ordinary skill in the art should understand that any modification or equivalent replacement of the technical solutions of the present application does not depart from the spirit and scope of the technical solutions of the present application, and they should all be covered by the scope of the claims of the present application.

Claims

1. A collaborative path optimization method for pollution reduction and carbon reduction based on industry technology, including: Step S1: Select one or more production processes or technical transformation technologies of any industry in the collaborative technology data of pollution reduction and carbon reduction in various industries; For each industry's selected production process, determine one of the production processes as the benchmark production process; Step S2: solving the optimal activity level of each technology based on satisfying various constraints based on a linear programming method; Step S3: Calculate the cost required to reduce one unit of emissions; Step S4: Calculate the total emission reduction of each technology under the optimal activity level of each technology; Step S5: Construct a marginal emission reduction cost curve to obtain the priority of pollution reduction and carbon reduction technology application between and within industries.

2. The method for optimizing the coordinated path of pollution reduction and carbon reduction based on industry technology according to claim 1 is characterized in that: The data on coordinated technologies for pollution reduction and carbon reduction in various industries include two types of technologies: production process and technological transformation technology, and four types of parameters: benchmark information, cost information, emission reduction information, and operation information; Among them, the emission factors of the production process and the emission reduction potential of the technical transformation technology include information on five types of emissions: CO2, particulate matter, SO2, NOx and VOCs.

3. The method for optimizing the coordinated path of pollution reduction and carbon reduction based on industry technology according to claim 1 is characterized in that: The formula for solving the linear programming method is: Among them, x i,t is the activity level of technology t in industry i; a i,t and b i,t are the lower and upper limits of the activity level of technology t in industry i; C i,t is the total unit cost of technology t in industry i; i is the total demand of industry i; R i,t,e is the unit emission reduction potential of technology t in industry i for emission type e; target e To set emission reduction targets.

4. The pollution reduction and carbon reduction collaborative path optimization method based on industry technology according to claim 1 is characterized in that: The calculation of the cost required for reducing one unit of emissions includes: AC i,t,e =C i,t / R i,t,e Among them, AC i,t,e C is the unit emission reduction cost of technology t in industry i for emission e; i,t is the total unit cost of technology t in industry i; R i,t,e is the unit emission reduction potential of technology t in industry i for emission type e.

5. The method for optimizing the coordinated path of pollution reduction and carbon reduction based on industry technology according to claim 1 is characterized in that: The calculations described above include the total emission reductions for each technology under the optimal activity level conditions for each technology, including: TR i,t,e =x i,t ·R i,t,e Among them, TR i,t,e R is the total emission reduction of technology t for industry i for emission e; i,t,e is the unit emission reduction potential of technology t in industry i for emission type e; i,t is the activity level of technology t in industry i.

6. The method for optimizing the coordinated path of pollution reduction and carbon reduction based on industry technology according to claim 1 is characterized in that: The marginal emission reduction cost curve is constructed to obtain the priority of the application of pollution reduction and carbon reduction technologies between and within industries, including: Total emission reduction potential TR based on various technologies i,t,e And unit emission reduction consumption AC i,t,e Constructing a marginal emission reduction cost curve; the horizontal axis of the marginal emission reduction cost curve is the emission reduction potential, and the vertical axis is the unit emission reduction cost; Each technology is based on its total emission reduction potential TR i,t,e And unit emission reduction consumption AC i,t,e Form a column, and divide the columns of each technology according to the unit emission reduction consumption AC i,t,e Arrange from low to high, and use a linear, quadratic or exponential function to fit the upper midpoints of all cylinders to obtain a continuous marginal emission reduction cost curve; Based on the marginal emission reduction cost curve, the priority of pollution reduction and carbon reduction technology application between and within industries is clarified: under the emission reduction target, priority is given to promoting pollution reduction and carbon reduction in industries with lower marginal emission reduction costs. When the marginal emission reduction cost of this industry exceeds that of other industries, switch to pollution reduction and carbon reduction in other industries. Within an industry, priority is given to applying technologies with the lowest unit emission reduction cost, and gradually applying other technologies with higher unit emission reduction costs.

7. The method for optimizing the coordinated path of pollution reduction and carbon reduction based on industry technology according to claim 1 is characterized in that: Before step S2, the method further includes: checking whether a linear programming method can be used to solve the problem: Check whether the upper limit of the total activity level of the selected technology in the industry is greater than or equal to the total demand of the industry; Checking whether the emission reduction target is greater than or equal to 0; and Check whether the total emission reduction potential of each type of emission under the upper limit of the activity level of the selected technology is greater than the emission reduction target.

8. The pollution reduction and carbon reduction collaborative path optimization system based on industry technology according to claim 1 is implemented based on any method described in claims 1-7, characterized in that: The system comprises: Database module, used to store data on collaborative technologies for pollution reduction and carbon reduction in various industries; The data screening module is used to select one or more production processes or technical transformation technologies of any industry in the pollution reduction and carbon reduction collaborative technology data of various industries; for each production process selected by an industry, one of the production processes is determined as the benchmark production process; The module for determining the optimal activity level is used to solve the optimal activity level of each technology based on satisfying various constraints based on linear programming; The module for calculating the unit emission cost is used to calculate the cost required for reducing one unit of emission; A module for calculating the total emission reductions for each technology, which is used to calculate the total emission reductions for each technology under the conditions of the optimal activity level of each technology; and The pollution reduction and carbon reduction technology application sequence module is obtained to construct the marginal emission reduction cost curve and obtain the priority of pollution reduction and carbon reduction technology application between and within industries.

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