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Capacity Balance And Location Optimization Of Solid Waste Treatment Facilities In Shanghai Based On Multi-objective Robust Programming Under The Constraints Of Near Zero Landfill Targets

Posted on:2022-07-26Degree:MasterType:Thesis
Country:ChinaCandidate:Y ShiFull Text:PDF
GTID:2491306722952389Subject:Environmental Engineering
Abstract/Summary:PDF Full Text Request
Under the guidance of the national strategy of "Zero-Waste City",the optimization of solid waste facility layout has become an important starting point for realizing the strategy of zero solid waste discharge." The Fourteenth Five-Year Plan " of Shanghai’s solid waste management plan has been started,the traditional planning ideas only from the perspective of supply demand balance to assessment of municipal solid waste facilities,and did not carry out the optimal layout decision of solid waste facilities based on the multi-dimensional and multi perspective of minimum environmental impact and economic cost,nor did it consider the stability of facility planning to the disturbance of disposal demand change.Based on the overall capacity balance of solid waste facilities and zero landfill strategy,this paper fully analyzes the status quo of solid waste generation and disposal and the capacity balance of facilities in Shanghai,and identifies the bottleneck problem of cross regional long-distance transportation caused by the imbalance of regional capacity of solid waste facilities in Shanghai.Taking the location optimization of municipal solid waste(MSW)incineration facilities as the research object,and taking the minimization of economic cost and environmental disutility as the objectives,a dual objective decision-making model of solid waste facility location under certain scenarios is constructed.On this basis,the robust optimization model of MSW disposal facility location considering the uncertainty of MSW generation quantity is constructed to determine the optimal MSW disposal facility location layout and facility service scope,and the model empirical study is carried out.(1)Focusing on six major types of solid waste,including MSW,hazardous waste,general industrial solid waste,medical waste,construction waste and municipal sludge,the overall gap and regional imbalance of capacity of various solid waste facilities in2025 are predicted based on historical data and supply and demand balance theory.Based on the capacity of existing solid waste utilization facilities in Shanghai,this paper takes the near zero landfill of general industrial solid waste,hazardous waste,construction waste and primary waste as the target,and carries out the scenario analysis of solid waste disposal balance in Shanghai under different landfill goals.The landfill rates of the most unfavorable scenario,the middle scenario and the best scenario in2025 will be 9.2%,3.0% and 1.3% respectively.Based on the shortcoming of solid waste disposal facilities in Shanghai under the optimal scenario,the near zero landfill path design of solid waste in Shanghai was carried out,and the technical challenges faced by solid waste treatment and disposal under the near zero landfill optimal scenario were proposed.(2)Taking the facility layout optimization of Shanghai MSW incineration under the goal of near zero landfill management as the research object,and taking the minimization of economic cost and environmental disutility as the objectives,the multiobjective decision-making methodology of solid waste facility location under the determined scenario is established,and the dual-objective mixed integer linear programming model is established.Taking the total amount of MSW incineration in Shanghai in 2018 as an empirical scenario,15 population centers and 10 potential candidate sites of MSW incineration facility were set,and lingo software was used for simulation.The results show that under the scenario of total MSW incineration in Shanghai,8 waste incineration facility selected from 10 candidate sites can minimize the economic cost and environmental disutility of the MSW incineration process.In this optimal scenario,the total capacity of incineration facilities in the whole city reaches 27500 tons,and it can receive the MSW generated by the population center of the administrative district nearby.The results of parameter sensitivity analysis show that the model is more sensitive to parameter disturbance.With the increase of MSW generation,the quantity,capacity,economic cost and environmental disutility show an upward trend.When the weight coefficient of multi-objective function is changed,the location,distribution path,economic cost and environmental disutility of MSW will change,and and the environmental risk is avoided at the cost of economic cost.(3)The multi-objective decision-making model of solid waste facility location under determined scenarios is difficult to respond well to the change of facility demand caused by the fluctuation of solid waste generation.In order to evaluate the impact of the uncertainty of dry and wet waste generation caused by MSW mandatory classification on the future facility location,a robust optimization model of MSW disposal facility layout under the scenario of mandatory classification was established.Taking dry waste incineration and wet waste disposal in Shanghai in 2018 as empirical scenarios,8 potential candidate sites for waste incineration facilities and 14 potential candidate sites for wet waste disposal facilities were set.The fluctuation of dry and wet waste generation in each population center was taken as an uncertainty factor,and lingo software was used for simulation.The results show that when the uncertainty level is0.2 and the robustness level is 2,five dry waste incineration facilities with a total capacity of 18000 tons/day and nine wet waste disposal facilities with a total capacity of 12500 tons/day are selected.Parameter sensitivity analysis shows that the robust level will affect the quantity,capacity,economic cost and environmental disutility of MSW incineration facilities.When the uncertainty level is low,the economic cost of disposal facilities is less affected by robust disturbance,but the fluctuation of environmental disutility is obvious.The weight coefficient boundary of multi-objective function will affect the location of disposal facilities and the distribution path of waste logistics.
Keywords/Search Tags:Solid waste, Multi-objective programming, Capability balance, MSW disposal facility site selection, Robust optimization
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