| With the acceleration of China’s urbanization process,the number of urban residents had continued to increase,and the amount of urban domestic garbage clearance had also increased year by year,which had brought great challenges to the urban domestic garbage management system.Among them,the clearance and transportation of municipal solid waste was an important part of the municipal solid waste management system,which directly affected the economic,environmental and social benefits of garbage disposal.Nowadays,the management of urban domestic garbage had entered an era of source control and full classification.Most of the existing researches on the process of garbage clearance and transportation were the optimization of economic benefits under the mixed loading and transportation mode.Therefore,this paper takes the energy saving and emission reduction as the optimization goal,and builds an optimization model for the classification and clearance of municipal solid waste.The research work in this paper is as follows:(1)Summarize the current status and research hotspots of classification and transportation of municipal solid waste through qualitative analysis and quantitative analysis,and clarify the research scope and research direction of this paper;(2)Define the measurement methods of vehicle fuel consumption and carbon emission,and build a combined collection model and a separate collection model under certain scenarios according to the collection and transportation requirements of MSW;analyzing the uncertainty of vehicle running speed and load in the process of cleaning up,and constructing the combined collection model and separate collection model of municipal solid waste classification under the situation of fuzzy demand.The feasibility and effectiveness of the model are verified by case analysis of the collection of jiangning road street in jing ’an district,Shanghai.(3)By comparing the optimization results of the classified combined collection model and the classified separate collection model under two different scenarios,the advantages of the classified combined collection model in garbage clearance are clarified,and the influences of the proportion of vehicles in the classified combined collection and the garbage collection time on the optimization results are further explored..The genetic algorithm was used to solve the problem in MATLAB software,and it was found that:(1)From the perspective of energy conservation and emission reduction,the classified combined collection mode has less vehicle fuel consumption and carbon emission cost than the classified separate collection mode in the single transfer station of the single cycle yard.Among them,under certain scenarios,the fuel consumption and carbon emission cost of the classified combined vehicle collection is 38.23%lower than that of the classified separate vehicle collection.Under the situation of fuzzy demand,the fuel consumption and carbon emission cost of vehicles under the classification of combined collection is 25.23%lower than that of separate collection.(2)Under the fuzzy demand scenario,by comparing the cost of the optimal cleaning path under different confidence conditions,it is proved that in the optimization of the cleaning path of urban household garbage,the change of confidence level brings little change to the final cleaning plan;(3)Under the fuzzy demand scenario,the optimal ratio of dry and wet garbage truck bin in the classified combined collection mode is 1:2,and the fuel consumption and carbon emission costs of vehicles decrease first and then rise with the proportion worth reducing;(4)Under the fuzzy demand scenario,in the classified combined collection model,the change of collection time directly affects the change of the number of vehicles,but the fuel consumption and carbon emission cost of vehicles will not decrease with the increase of the time,which reaches the minimum when the time is 5 hours. |
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