A robust optimization method and system for processing classified domestic waste

Abstract

The present invention discloses a robust optimization method and system for processing classified domestic waste, and relates to the field of artificial intelligence technology for waste treatment. The key points of the technical solution are: obtaining the amount of domestic waste transported from a transfer station to a treatment plant, and the maximum daily processing volume using waste treatment technology; constructing constraint conditions for compatibility of domestic waste treatment categories according to the amount of domestic waste and the maximum daily processing volume; when the amount of domestic waste meets the constraint conditions, using robust optimization to establish a robust multi-objective optimization model for domestic waste treatment using waste treatment technology; wherein the economic benefit of the robust multi-objective optimization model is determined by minimizing the total operating cost of the waste treatment technology, and the environmental benefit is determined by minimizing the carbon dioxide emissions of the waste treatment technology and the transportation carbon emissions during the transportation of the waste; solving the robust multi-objective optimization model to obtain the technical solution selected when processing domestic waste.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology for garbage disposal, and more specifically, to a robust optimization method and system for processing classified domestic garbage. Background Art

[0002] my country is in a critical period of waste treatment infrastructure construction. Against this background, there are three mainstream waste treatment technologies: landfill / sanitary landfill technology; incineration technology; and biochemical treatment technology (aerobic composting).

[0003] In the face of obvious defects and shortcomings in the existing mainstream waste treatment technologies, new conventional technologies for domestic waste treatment have emerged, namely: anaerobic digestion technology; gasification technology; and cement kiln co-processing technology.

[0004] Three mainstream technologies: (1) Landfill technology: causes surface water, soil, and air pollution; occupies land resources; poses safety hazards. (2) Incineration technology: causes air pollution and greenhouse effect; leads to the emission of toxic dioxins, which seriously endangers the quality of life of surrounding residents. (3) Aerobic composting: cannot avoid the spread of bacteria, pathogens, etc., as well as heavy metal pollution; harmlessness is not thorough; the treatment process is not closed, which is easy to cause secondary pollution. In general, mainstream treatment methods have obvious defects. Whether from the perspective of reaction process, reaction products or residues, they cannot be "clean" and "thorough". Therefore, it is necessary to consider the use of new technologies to achieve clean resource utilization of garbage-to-energy.

[0005] Emerging technologies: (1) Anaerobic digestion technology: the reaction process is closed, with low greenhouse gas emissions and no odor; the product (biogas) is clean and can further produce clean energy (CNG, heat, electricity); the residue is small and can be used as fertilizer to improve soil quality. However, this technology is essentially a biotechnology and can only treat organic waste. (2) Gasification technology: It is a pollution-free, clean, thorough reaction, and resource recovery method for waste treatment. However, gasification technology is costly and has high carbon emissions. Regarding anaerobic digestion and gasification technology, in terms of waste types, anaerobic digestion is suitable for biodegradable organic solid components. For waste types with low organic content, this method is not effective; gasification technology is suitable for non-biodegradable or low-water content waste types. In terms of reactant types, gasification technology can make up for the shortcomings of anaerobic digestion and can treat inorganic waste that anaerobic digestion cannot handle. From the perspective of reaction degree and residue, the treatment of biogas slurry in the residue of anaerobic digestion requires a certain amount of work. The ash or glass solids remaining after gasification technology treatment are more convenient to handle. Therefore, the combination of gasification and anaerobic digestion can effectively improve the treatment efficiency of organic matter and woody biomass in garbage. From the perspective of the economic benefits of the entire garbage treatment process, the gasification reaction equipment has higher requirements and consumes more energy. Therefore, the investment in garbage gasification is higher and the cost is higher. In contrast, the screening and turning of garbage during the anaerobic digestion reaction does not require power, the equipment requirements are relatively low, and the cost is lower. Therefore, anaerobic digestion can make up for the shortcomings of gasification in terms of economic benefits. From the perspective of the environmental benefits of the reaction process, in addition to CO, H2, and CH4 used to produce energy products, the tail gas of gasification technology contains a large amount of fossil CO2, which has an aggravating effect on the greenhouse effect that cannot be underestimated. Anaerobic digestion technology can make up for this problem of gasification technology.

[0006] Therefore, how to balance the operating costs and carbon emissions brought about by the use of these two waste treatment technologies for domestic waste and formulate a more reasonable technical selection plan is a problem that needs to be solved. Summary of the invention

[0007] The purpose of this application is to provide a robust optimization method and system for processing classified domestic waste, so as to select solutions for domestic waste treatment technology, thereby achieving cost and carbon emission control in the actual waste treatment process.

[0008] The above technical objectives of this application are achieved through the following technical solutions:

[0009] A first aspect of the present invention provides a robust optimization method for processing classified domestic waste, the method comprising:

[0010] Obtain the amount of domestic waste transported from waste transfer stations to waste treatment plants, and the maximum daily volume of domestic waste treated using waste treatment technology;

[0011] According to the amount of domestic waste and the maximum daily processing volume, constructing constraints on the compatibility of domestic waste treatment categories, wherein the constraints are used for selecting waste treatment technologies;

[0012] When the amount of domestic waste meets the constraint conditions, a robust multi-objective optimization model for treating domestic waste using waste treatment technology is established by using robust optimization; wherein the robust multi-objective optimization model includes economic benefits and environmental benefits, wherein the economic benefits are determined by minimizing the total operating cost of the waste treatment technology, and the environmental benefits are determined by minimizing the carbon dioxide emissions of the waste treatment technology and the transportation carbon emissions during the waste transportation process;

[0013] The robust multi-objective optimization model is solved to obtain the technical solution selected for domestic waste treatment.

[0014] In one implementation, the constraint condition for compatibility of the domestic waste treatment categories is expressed as: in, It represents the quantity of the kth type of garbage that is processed from the garbage transfer station i to the garbage treatment plant using the garbage treatment technology l; represents the compatibility parameter. If the kth type of garbage can be processed using garbage processing technology l, then Take 1, otherwise take 0; It represents the maximum daily processing capacity of waste treatment technology l, where l means the waste treatment technology is anaerobic digestion technology or gasification technology.

[0015] In one implementation, the organic waste of the domestic waste includes food waste, waste bamboo and wood, waste paper, waste textiles, waste plastics and waste rubber, and the inorganic waste of the domestic waste includes waste metal and waste glass.

[0016] In one implementation, the total operating cost of the waste treatment technology is determined by fixed investment generated during the domestic waste treatment process, collection costs, transportation costs, disposal costs, government subsidies, and sales from energy generated after domestic waste treatment.

[0017] In one implementation, minimizing the total operating cost of the waste treatment technology includes:

[0018] The first cost is obtained by summing up the fixed investment, collection costs, transportation costs and disposal costs generated in the waste treatment process;

[0019] The second cost is obtained by summing the government subsidy for waste treatment and the sales of products obtained from the sale of waste treatment products;

[0020] When the difference between the first cost and the second cost is minimal, the economic benefits of using waste treatment technology to treat domestic waste are maximized.

[0021] In one implementation, the depreciation method is used to calculate the fixed investment of the garbage disposal technology on a daily basis. The calculation formula for the fixed investment is: Among them, F l represents the total investment in introducing waste treatment technology l, a l represents the residual value of waste treatment technology l, N l It indicates the service life of the waste treatment technology l, where l indicates that the waste treatment technology is anaerobic digestion technology or gasification technology;

[0022] The transportation cost in the process of transporting domestic waste is taken as the first uncertain parameter of the transportation cost. The first uncertain parameter is processed by robust optimization to calculate the transportation cost of the waste in the transportation process. The calculation formula of the transportation cost is:

[0023] Among them, r i and tr is the decision variable introduced in the dual transformation process of the robust form; Γ tr The control parameter representing the degree of uncertainty in transportation costs, Γ tr Taking 0 means that the transportation cost part is equivalent to the deterministic model, Γ tr The higher the value, the more uncertain parameters are contained in the transportation cost part, that is, the higher the uncertainty of the robust optimization model; Represents the nominal value of unit transportation cost, TR i Indicates the deviation value of unit transportation cost, D i represents the transportation distance from garbage transfer station i to the garbage treatment plant, represents the amount of type k garbage that is processed from garbage transfer station i to the garbage treatment plant using technology l, represents any garbage transfer station index i, represents the fixed part of the transportation cost, It represents the uncertain part of transportation cost, CT represents transportation cost;

[0024] The biogas production coefficient of anaerobic digestion technology is used as the second uncertain parameter of the disposal cost and product sales. The second uncertain parameter is processed by robust optimization to calculate the disposal cost and product sales of garbage during transportation. The calculation formula of the disposal cost is:

[0025] Among them, r k and h represents the decision variables introduced in the dual transformation process of the robust form; Γ hControl parameters that represent the degree of uncertainty in biogas production; represents the nominal value of the biogas production coefficient, represents the deviation value of biogas production coefficient, θ represents the biogas methane production coefficient, CG represents the unit production cost of methane, Indicates the amount of waste treated by gasification technology, represents the amount of garbage treated by anaerobic digestion, β represents the oil content in food waste, O represents the biodiesel production coefficient, CO represents the unit production cost of biodiesel, represents the amount of food waste treated by anaerobic digestion, represents the nominal value of the methane production coefficient, Indicates the deviation of the methane production coefficient, CH c Represents the definite part of disposal cost, CH u Represents the uncertain portion of disposal costs;

[0026] The sales volume of the product is calculated as follows: Among them, PG represents the unit sales price of methane, represents any garbage type index k, represents the deviation value of biogas production coefficient, represents the nominal value of the biogas production coefficient, represents the nominal value of the methane selling price, represents the deviation of the methane selling price, PO represents the selling price of biodiesel, represents the power generation coefficient of waste type k treated by technology l, RP c Represents the fixed portion of sales, RP u Represents the uncertain portion of sales.

[0027] In one implementation, the formula for minimizing carbon dioxide emissions from gasification technology and transportation emissions during waste transfer is:

[0028] Where ET represents unit transport emissions; C k represents the fossil carbon content in waste type k, W k represents the moisture content of garbage type k, G k Represents the gasification conversion rate of garbage type k.

[0029] A second aspect of the present invention further provides a robust optimization system for processing classified domestic waste, the system comprising:

[0030] The garbage quantity acquisition module is used to obtain the quantity of domestic garbage transported from the garbage transfer station to the garbage treatment plant, as well as the maximum daily processing volume of domestic garbage using garbage treatment technology;

[0031] A technology selection module, used for constructing constraints on compatibility of domestic waste treatment categories according to the amount of domestic waste and the maximum daily treatment volume, wherein the constraints are used for selecting waste treatment technologies;

[0032] A robust optimization model building module, used to establish a robust multi-objective optimization model for treating domestic waste using waste treatment technology by using robust optimization when the amount of domestic waste meets the constraint conditions; wherein the robust multi-objective optimization model includes economic benefits and environmental benefits, wherein the economic benefits are determined by minimizing the total operating cost of the waste treatment technology, and the environmental benefits are determined by minimizing the carbon dioxide emissions of the waste treatment technology and the transportation carbon emissions during the waste transportation process;

[0033] The solution module is used to solve the robust multi-objective optimization model to obtain the technical solution selected for domestic waste treatment.

[0034] Compared with the prior art, this application has the following beneficial effects:

[0035] The present invention provides a robust optimization method for treating classified domestic waste. The robust optimization calculation method is used to weigh the economic and environmental benefits of the treatment technology formulated through compatibility constraints, thereby solving the problem of selecting domestic waste treatment technology and formulating a domestic waste-to-energy plan. The introduction of robust optimization is a means to solve the uncertainty involved in the domestic waste treatment process, overcoming the problem of finding a probability distribution for the uncertainty in the waste treatment process, and achieving the search for the optimal solution in all possible situations (including the worst state) within the uncertainty interval. Furthermore, on the basis of cost control, a carbon emission control standard is added, thereby achieving the maximum reduction in the cost and carbon emissions of technical treatment of multiple categories of domestic waste under the worst environment and the most uncertain factors in the actual project operation process, and providing a tailor-made technical treatment means selection plan for organic domestic waste. Therefore, the present invention achieves the reduction of technical costs and the control of carbon emissions in the actual operation process of domestic waste treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0037] Figure 1 A schematic flow chart of a robust optimization method for processing classified domestic waste provided by an embodiment of the present invention is shown;

[0038] Figure 2A processing flow chart of the anaerobic digestion technology provided by an embodiment of the present invention is shown;

[0039] Figure 3 A process flow chart of the gasification technology provided by an embodiment of the present invention is shown;

[0040] Figure 4 A principle block diagram of a robust optimization system for processing classified domestic waste provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0041] Hereinafter, the term "include" or "may include" used in various embodiments of the present application indicates the presence of the function, operation or element applied for, and does not limit the increase of one or more functions, operations or elements. In addition, as used in various embodiments of the present application, the terms "include", "have" and their cognates are intended only to indicate specific features, numbers, steps, operations, elements, components or a combination of the foregoing items, and should not be understood as first excluding the presence of one or more other features, numbers, steps, operations, elements, components or a combination of the foregoing items or the possibility of increasing one or more features, numbers, steps, operations, elements, components or a combination of the foregoing items.

[0042] In various embodiments of the present application, the expression "or" or "at least one of B or / and C" includes any combination or all combinations of the words listed at the same time. For example, the expression "B or C" or "at least one of B or / and C" may include B, may include C, or may include both B and C.

[0043] The terms used in the various embodiments of the application are only used to describe the purpose of specific embodiments and are not intended to limit the various embodiments of the application. As used herein, the singular form is intended to also include the plural form, unless the context clearly indicates otherwise. Unless otherwise limited, all terms used here (including technical terms and scientific terms) have the same meaning as the meanings commonly understood by ordinary technicians in the field of the various embodiments of the application. The terms (such as the terms defined in the dictionary generally used) will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning, unless clearly defined in the various embodiments of the application.

[0044] In order to make the objectives, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with examples and drawings. The illustrative implementation scheme of the present application and its description are only used to explain the present application and are not intended to limit the present application.

[0045] First, the technical terms appearing in this application are explained as follows:

[0046] Anaerobic digestion technology includes four stages: hydrolysis, acidification, acetification and methanogenesis. Through the above four stages, organic waste can be converted into mixed biogas. The specific reaction process of anaerobic digestion can be found in Figure 2 The treatment flow chart shown in the figure shows that the complete conversion of garbage into renewable energy can be achieved based on anaerobic digestion technology. A small amount of biogas residue is produced, but it can be used as fertilizer. Therefore, the use of anaerobic digestion technology can achieve: complete reduction in garbage volume and morphological transformation, water, soil, and air pollution. The biological reaction process has no threat of greenhouse effect and no dioxin production, thus solving the problem of serious air pollution caused by incineration technology. The reaction is carried out in the anaerobic digestion reactor, which is completely closed and there is no bacteria, pathogens, etc. spreading outward, thus solving the problems caused by aerobic composting.

[0047] However, anaerobic digestion can only process organic waste. In order to solve the problem of compatibility of treatment categories, gasification technology is added and combined with anaerobic digestion to treat domestic waste. Gasification is a process of burning at an appropriate temperature (700 degrees Celsius) in the absence of oxygen. Through the four steps of drying, pyrolysis, oxidation and reduction, the macromolecules in the waste are cracked into small molecules and a variety of combustible gases (called synthesis gas) are generated. For the specific reaction process of gasification, please refer to Figure 3 As shown in the treatment flow chart, gasification technology can also achieve the complete conversion of garbage into renewable energy. The remainder is molten ash that does not need to be treated or glassy solid that can be directly recycled. Therefore, the use of gasification technology can achieve: rapid reduction in garbage volume and morphological transformation, water, soil, and air pollution. The reaction temperature does not meet the temperature range of dioxin production, which can avoid the emission of various pollutants from incineration technology. The reaction is carried out in a closed gasifier, and there is no bacteria, pathogens, etc. spreading outward, thus solving the problems caused by aerobic composting.

[0048] Furthermore, based on the basic principle of garbage classification, the urban domestic garbage collected daily at the garbage transfer station is further subdivided into food waste, bamboo and wood waste, waste paper, waste glass, waste metal, waste textiles, waste plastics, waste rubber and other wastes. Thus, the moisture content, calorific value and organic matter content of each specific type of garbage are obtained.

[0049] Based on the complementary characteristics of anaerobic digestion and gasification technology, the resource-based clean utilization of different types of urban domestic waste is achieved through the comprehensive technology of the two. Specifically, anaerobic digestion, as the most advanced, clean and thorough technology in biotechnology, decomposes organic matter under the action of microorganisms in an oxygen-deficient environment, and produces biogas and digestate in a good reaction environment (digester). The CH4 content in biogas is sufficient for the production of heat and electricity products and the production of various fuels. The CO2 in the reaction tail gas is biological CO2, which contributes to the control of the greenhouse effect. Gasification technology, as the most advanced, clean and thorough representative of thermal technology, produces syngas by thermal decomposition of garbage for power generation, heat generation and fuel preparation. The resulting product is clean and has a very high quality. There is little residue after garbage treatment, and no subsequent targeted treatment is required. It can be seen that although the reaction principles, equipment requirements and technical implementation of these two technologies are different, the generated biogas and syngas can be used to prepare abundant energy products.

[0050] The following is an explanation and description of a robust optimization method for processing classified domestic waste provided in an embodiment of the present application. Please refer to Figure 1 , Figure 1 A flowchart of a robust optimization method for processing classified domestic waste provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes the following steps

[0051] S110, obtaining the amount of domestic waste transported from the waste transfer station to the waste treatment plant, and the maximum daily processing volume of the domestic waste using waste treatment technology.

[0052] In this embodiment, a garbage treatment plant radiates multiple garbage transfer stations in one or more urban areas as an example, and the amount of domestic garbage transported to the garbage treatment plant by multiple garbage transfer stations is collected, and the amount here is the weight. Since the processing capacity of the garbage treatment plant is fixed, the maximum daily processing capacity of each different garbage treatment technology can be determined.

[0053] S120, constructing constraints on compatibility of domestic waste treatment categories based on the amount of domestic waste and the maximum daily processing volume, wherein the constraints are used for selecting waste treatment technology.

[0054] In this embodiment, the selection of garbage disposal technology is realized through compatibility constraints, and the specific formula of the constraints is:

[0055] in, It represents the quantity of the kth type of garbage that is processed from the garbage transfer station i to the garbage treatment plant using the garbage treatment technology l; represents the compatibility parameter. If the kth type of garbage can be processed using garbage processing technology l, then Take 1, otherwise take 0; It represents the maximum daily processing capacity of waste treatment technology l, where l means the waste treatment technology is anaerobic digestion technology or gasification technology.

[0056] Optionally, the organic waste of the domestic waste includes food waste, waste bamboo and wood, waste paper, waste textiles, waste plastics and waste rubber, and the inorganic waste of the domestic waste includes waste metal and waste glass.

[0057] In this embodiment, the types of garbage that cannot be treated by biodegradation are sorted out, including waste glass, waste metal and other waste. Food waste, waste bamboo and wood, waste paper, waste textiles, waste plastics and waste rubber can be treated by biodegradation, which means that these six types of garbage can be treated by anaerobic digestion and converted by gasification.

[0058] S130, when the amount of domestic waste meets the constraint conditions, a robust multi-objective optimization model for treating domestic waste using waste treatment technology is established using robust optimization; wherein the robust multi-objective optimization model includes economic benefits and environmental benefits, the economic benefits are determined by minimizing the total operating costs of the waste treatment technology, and the environmental benefits are determined by minimizing the carbon dioxide emissions of the waste treatment technology and the transportation carbon emissions during the waste transportation process.

[0059] In this embodiment, a robust optimization calculation formula is used to balance economic and environmental benefits, solve the problem of selecting six types of waste treatment technologies, and formulate a waste-to-energy plan.

[0060] Specifically, economic benefit maximization is achieved by minimizing the total cost of project operation, including fixed investment, collection costs, transportation costs, disposal costs, government subsidies, and product sales, which are represented by CF, CS, CT, CH, RS, and RP, respectively.

[0061] In one embodiment, the total operating cost of the waste treatment technology is determined by the fixed investment generated during the domestic waste treatment process, collection costs, transportation costs, disposal costs, government subsidy costs, and sales from energy generated after domestic waste treatment.

[0062] Specifically, in one embodiment, minimizing the total operating cost of the waste treatment technology includes: summing up the fixed investment, collection costs, transportation costs, and disposal costs generated in the waste treatment process to obtain a first cost; summing up the government subsidy for waste treatment and the product sales obtained from the sale of waste treatment products to obtain a second cost; when the difference between the first cost and the second cost is minimized, the economic benefit of using waste treatment technology to treat domestic waste is maximized.

[0063] It can be understood that in order to minimize the operating costs of the technology, that is, to ensure the fixed investment, collection costs, transportation costs and disposal costs of garbage, it is also necessary to consider the energy obtained after the garbage treatment is completed, such as fertilizers, electricity, etc., which can be sold to obtain product sales and reduce the operating costs of the technology. Therefore, in this embodiment, the fixed investment, collection costs, transportation costs and disposal costs generated in the garbage treatment process are summed to obtain the first cost, and the government subsidy for garbage treatment and the product sales obtained from the sale of the products after garbage treatment are summed to obtain the second cost. When the difference between the first cost and the second cost is the smallest, it can be considered that the economic benefits of using garbage treatment technology to treat domestic garbage are maximized.

[0064] In one embodiment, the depreciation method is used to calculate the fixed investment of garbage disposal technology on a daily basis. The calculation formula for the fixed investment is: Among them, F l represents the total investment in introducing waste treatment technology l, a l represents the residual value of waste treatment technology l, N l It indicates the useful life of the waste treatment technology l, where l indicates that the waste treatment technology is anaerobic digestion technology or gasification technology.

[0065] In this embodiment, the depreciation method is a method for calculating the depreciation of fixed assets. This is common knowledge in the field of technical equipment management and is not specifically introduced in this embodiment. This embodiment calculates the fixed investment of the equipment used in the garbage disposal technology on each day through the depreciation method, thereby determining the investment cost of the garbage disposal technology allocated to each day.

[0066] In one embodiment, the transportation cost of domestic waste during transportation is used as the first uncertain parameter of the transportation cost, and the first uncertain parameter is processed by robust optimization to calculate the transportation cost of the waste during transportation. The calculation formula of the transportation cost is:

[0067] Among them, r i and tr is the decision variable introduced in the dual transformation process of the robust form; Γ tr The control parameter representing the degree of uncertainty in transportation costs, Γ tr Taking 0 means that the transportation cost part is equivalent to the deterministic model, Γ tr The higher the value, the more uncertain parameters are contained in the transportation cost part, that is, the higher the uncertainty of the robust optimization model; Represents the nominal value of unit transportation cost, TR i Indicates the deviation value of unit transportation cost, D i represents the transportation distance from garbage transfer station i to the garbage treatment plant, represents the amount of type k garbage that is processed from garbage transfer station i to the garbage treatment plant using technology l, represents any garbage transfer station index i, represents the fixed part of the transportation cost, Represents the uncertain part of transportation cost, and CT represents transportation cost.

[0068] Since the garbage disposal process involves uncertainty, robust optimization is introduced as a means to solve uncertainty, overcome the problem of finding probability distribution for uncertainty in the garbage disposal process, and achieve the optimal solution for all possible situations (including the worst state) within the uncertainty interval. Specifically, the transportation method of domestic garbage is diesel trucks. Due to factors such as oil price fluctuations, seasonal market conditions and road conditions, the unit transportation cost varies greatly and is processed into uncertain parameters. Therefore, the robust optimization method is used to deal with uncertain parameters, so that the calculation formula for transportation cost is determined as:

[0069] This calculation formula is the overall transportation cost in a robust form after dual transformation.

[0070] Similarly, since the biogas production process of anaerobic digestion is affected by multiple factors such as temperature, pH value, carbon-nitrogen ratio, etc., the biogas production coefficient is set as an uncertain parameter. In one embodiment, the biogas production coefficient of the anaerobic digestion technology is used as the second uncertain parameter of the disposal cost and product sales, and the second uncertain parameter is processed by robust optimization to calculate the disposal cost and product sales of the garbage during transportation, where the calculation formula of the disposal cost is:

[0071] Among them, r k and h represents the decision variables introduced in the dual transformation process of the robust form; Γ h Control parameters that represent the degree of uncertainty in biogas production; represents the nominal value of the biogas production coefficient, represents the deviation value of biogas production coefficient, θ represents the biogas methane production coefficient, CG represents the unit production cost of methane, Indicates the amount of waste treated by gasification technology, represents the amount of garbage treated by anaerobic digestion, β represents the oil content in food waste, O represents the biodiesel production coefficient, CO represents the unit production cost of biodiesel, represents the amount of food waste treated by anaerobic digestion, represents the nominal value of the methane production coefficient, Indicates the deviation of the methane production coefficient, CH c Represents the definite part of disposal cost, CH uRepresents the uncertain portion of disposal costs;

[0072] The sales volume of the product is calculated as follows: Among them, PG represents the unit sales price of methane, represents any garbage type index k, represents the deviation value of biogas production coefficient, represents the nominal value of the biogas production coefficient, represents the nominal value of the methane selling price, represents the deviation of the methane selling price, PO represents the selling price of biodiesel, represents the power generation coefficient of waste type k treated by technology l, RP c Represents the fixed portion of sales, RP u Represents the uncertain portion of sales.

[0073] Furthermore, the environmental benefits of the urban domestic waste technology treatment process are expressed by the carbon dioxide emissions. Maximizing the environmental benefits is to minimize the carbon dioxide emissions. In one embodiment, the calculation formula for minimizing the carbon dioxide emissions of the gasification technology and the transportation emissions during the waste transfer process is:

[0074] Where ET represents unit transport emissions; C k represents the fossil carbon content in waste type k, W k represents the moisture content of garbage type k, G k Represents the gasification conversion rate of garbage type k.

[0075] S140, solving the robust multi-objective optimization model to obtain a technical solution selected for domestic waste treatment.

[0076] In this embodiment, the method of simulating random numbers is used to solve the economic benefit value of the project under different uncertain parameter values ​​to verify whether the effect of robust solution is consistent with the actual situation. Since solving the model constructed by the robust optimization method is common knowledge, this embodiment does not make redundant descriptions.

[0077] In summary, the present embodiment provides a robust optimization method for treating classified domestic waste. The method uses a robust optimization calculation method to weigh the economic and environmental benefits of the treatment technology developed through compatibility constraints, thereby solving the problem of selecting domestic waste treatment technology and formulating a domestic waste-to-energy plan. The introduction of robust optimization is a means to solve the uncertainty involved in the domestic waste treatment process, overcoming the need to find a probability distribution for the uncertainty in the waste treatment process, and achieving the optimal solution for all possible situations (including the worst state) within the uncertainty interval. Furthermore, on the basis of cost control, a carbon emission control standard is added, thereby achieving the maximum reduction in the cost and carbon emissions of technical treatment of various types of domestic waste under the worst environment and the most uncertain factors in the actual project operation process, and providing a tailor-made technical treatment means selection plan for organic domestic waste. Therefore, the present invention achieves the reduction of technical costs and the control of carbon emissions in the actual operation process of domestic waste treatment.

[0078] See also Figure 4 , Figure 4 The schematic diagram of a robust optimization system for processing classified domestic waste provided by an embodiment of the present invention is shown. The system includes

[0079] The garbage quantity acquisition module 410 is used to obtain the quantity of domestic garbage transported from the garbage transfer station to the garbage treatment plant, and the maximum daily processing volume of domestic garbage using garbage treatment technology;

[0080] A technology selection module 420 is used to construct a constraint condition of compatibility of domestic waste treatment categories according to the amount of domestic waste and the maximum daily treatment volume, wherein the constraint condition is used for selecting waste treatment technology;

[0081] A robust optimization model building module 430 is used to establish a robust multi-objective optimization model for treating domestic waste using waste treatment technology by using robust optimization when the amount of domestic waste meets the constraint conditions; wherein the robust multi-objective optimization model includes economic benefits and environmental benefits, wherein the economic benefits are determined by minimizing the total operating cost of the waste treatment technology, and the environmental benefits are determined by minimizing the carbon dioxide emissions of the waste treatment technology and the transportation carbon emissions during the waste transportation process;

[0082] The solution module 440 is used to solve the robust multi-objective optimization model to obtain the technical solution selected for domestic waste treatment.

[0083] A robust optimization system for processing classified domestic waste in an embodiment of the present application is similar to the above Figure 1The robust optimization method for processing classified domestic waste shown is an invention based on the same concept. Through the above detailed description of the robust optimization method for processing classified domestic waste, those skilled in the art can clearly understand the implementation process of the robust optimization system for processing classified domestic waste in this embodiment. Therefore, for the sake of conciseness of the specification, it will not be repeated here.

[0084] Accordingly, the embodiment of the present application provides a robust optimization system for treating classified domestic waste. The system uses a robust optimization calculation method to weigh the economic and environmental benefits of the treatment technology developed through compatibility constraints, thereby solving the problem of selecting domestic waste treatment technology and formulating a domestic waste-to-energy plan. The introduction of robust optimization is a means to solve the uncertainty involved in the domestic waste treatment process, overcoming the need to find a probability distribution for the uncertainty in the waste treatment process, and achieving the optimal solution for all possible situations (including the worst state) within the uncertainty interval. Furthermore, on the basis of cost control, a carbon emission control standard is added, thereby achieving the maximum reduction in the cost and carbon emissions of technical treatment of various types of domestic waste under the worst environment and the most uncertain factors in the actual project operation process, and providing a tailor-made technical treatment means selection plan for organic domestic waste. Therefore, the present invention achieves the reduction of technical costs and the control of carbon emissions in the actual operation process of domestic waste treatment.

[0085] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A robust optimization method for processing classified domestic waste, characterized in that: Methods include: Obtain the amount of domestic waste transported from waste transfer stations to waste treatment plants, and the maximum daily volume of domestic waste treated using waste treatment technology; According to the amount of domestic waste and the maximum daily processing volume, constructing constraints on the compatibility of domestic waste treatment categories, wherein the constraints are used for selecting waste treatment technologies; When the amount of domestic waste meets the constraint conditions, a robust multi-objective optimization model for domestic waste treatment using waste treatment technology is established by using robust optimization; wherein the robust multi-objective optimization model includes economic benefits and environmental benefits, wherein the economic benefits are determined by minimizing the total operating cost of the waste treatment technology, and the environmental benefits are determined by minimizing the carbon dioxide emissions of the waste treatment technology and the transportation carbon emissions during the waste transportation process; wherein the total operating cost of the waste treatment technology is determined by the fixed investment, collection costs, transportation costs, disposal costs, government subsidies generated in the process of domestic waste treatment, and the sales brought by the energy generated after the domestic waste treatment; minimizing the total operating cost of the waste treatment technology includes: summing the fixed investment, collection costs, transportation costs, and disposal costs generated in the process of waste treatment to obtain a first cost; summing the government subsidies for waste treatment and the product sales obtained by selling the products after waste treatment to obtain a second cost; when the difference between the first cost and the second cost is minimized, the economic benefits of domestic waste treatment using waste treatment technology are maximized; The depreciation method is used to calculate the fixed investment of garbage disposal technology on a daily basis. The calculation formula for fixed investment is: Among them, F l represents the total investment in introducing waste treatment technology l, a l represents the residual value of waste treatment technology l, N l It indicates the service life of the waste treatment technology l, where l indicates that the waste treatment technology is anaerobic digestion technology or gasification technology; The transportation cost during the transportation of domestic waste is taken as the first uncertain parameter of the transportation cost, and the first uncertain parameter is processed by robust optimization to calculate the transportation cost of the waste during the transportation process; the biogas production coefficient of the anaerobic digestion technology is taken as the second uncertain parameter of the disposal cost and product sales, and the second uncertain parameter is processed by robust optimization to calculate the disposal cost and product sales of the waste during the transportation process; the robust multi-objective optimization model is solved to obtain the technical solution selected for the treatment of domestic waste.

2. A robust optimization method for processing classified domestic waste according to claim 1, characterized in that: The constraint condition of compatibility of the domestic waste treatment categories is expressed as: in, It represents the quantity of the kth type of garbage that is processed from the garbage transfer station i to the garbage treatment plant using the garbage treatment technology l; represents the compatibility parameter. If the kth type of garbage can be processed using garbage processing technology l, then Take 1, otherwise take 0; It represents the maximum daily processing capacity of waste treatment technology l, where l means the waste treatment technology is anaerobic digestion technology or gasification technology.

3. A robust optimization method for processing classified domestic waste according to claim 2, characterized in that: The organic waste of the domestic waste includes food waste, waste bamboo and wood, waste paper, waste textiles, waste plastics and waste rubber, and the inorganic waste of the domestic waste includes waste metal and waste glass.

4. A robust optimization method and system for processing classified domestic waste according to claim 3, characterized in that: The formula for minimizing CO2 emissions from gasification technology and transportation emissions during waste transfer is: Among them, ET represents unit transport emissions; represents the amount of type k garbage that is processed from garbage transfer station i to the garbage treatment plant using technology l, represents the amount of waste treated by gasification technology, C k represents the fossil carbon content in waste type k, W k represents the moisture content of garbage type k, G k represents the gasification conversion rate of garbage type k, D i Represents the transportation distance from garbage transfer station i to the garbage treatment plant.

5. A robust optimization system for processing classified domestic waste, based on the robust optimization method for processing classified domestic waste as described in any one of claims 1 to 4, characterized in that: The system includes: The garbage quantity acquisition module is used to obtain the quantity of domestic garbage transported from the garbage transfer station to the garbage treatment plant, as well as the maximum daily processing volume of domestic garbage using garbage treatment technology; A technology selection module, used for constructing constraints on compatibility of domestic waste treatment categories according to the amount of domestic waste and the maximum daily treatment volume, wherein the constraints are used for selecting waste treatment technologies; A robust optimization model building module, used to establish a robust multi-objective optimization model for treating domestic waste using waste treatment technology by using robust optimization when the amount of domestic waste meets the constraint conditions; wherein the robust multi-objective optimization model includes economic benefits and environmental benefits, wherein the economic benefits are determined by minimizing the total operating cost of the waste treatment technology, and the environmental benefits are determined by minimizing the carbon dioxide emissions of the waste treatment technology and the transportation carbon emissions during the waste transportation process; The solution module is used to solve the robust multi-objective optimization model to obtain the technical solution selected for domestic waste treatment.

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