A Research On The Cost Optimization Model Of Biomass Feedstock Supply Chain Logistics Systems

Biomass direct combustion power generation is a mature and reliable form of renewable energy use with significant economic and environmental benefits.China is very rich in agricultural and forestry biomass resources,and its biomass power generation has a very broad prospect for development.However,the dispersed and uneven natural distribution of biomass resources in the country is leading to difficulties for biomass power plants in feedstock collection,which,to a certain extent,increases the fuel costs and affects the economic benefit of biomass power generation.In addition,the supply chain logistics system for biomass feedstock collection,storage and transportation has the characteristics of being complex.Most of the fuel costs of biomass power generation and the additional carbon dioxide emissions throughout the fuel life cycle are generated in the logistics.Unreasonable biomass power plant location and feedstock supply chain design will,on the one hand,make the feedstock logistics costs higher,affecting the economic benefits of biomass power generation;on the other hand,lead to increased carbon dioxide emissions in biomass feedstock supply chain logistics,affecting the environmental benefits.This paper is a thorough study on the logistics of biomass feedstock supply chains and cost optimization models,aiming to build a logistics optimization model for low-carbon and sustainable biomass feedstock supply chains,to provide a scientific basis for rational power plant site selection and supply chain designs.Firstly,this paper makes a systematical research on the theories of supply chain management,logistics location method and carbon emission measurement,and a detailed analysis of the multi-objective optimization involved in this model,which provides a theoretical basis for optimization model research and model solving.Secondly,based on the overall analysis of the logistics system for biomass feedstock supply chains,on the one hand,the research on biomass feedstock logistics and feedstock collection and transportation tool selections determines the framework of the optimization model building.On the other hand,the study on the cost structure and existing problems of the biomass feedstock supply chain determines the direction of the optimization model.Finally,on the basis of multi-objective optimization theories,a cost minimization model and a carbon dioxide emission minimization model for the logistics of biomass feedstock supply chain are constructed.According to China’s current biomass power generation data,this paper also compiles examples for model solving and model optimization effect analysis.The results show that:(1)Taking into account the feedstock supply chain logistics cost in biomass power project site selection may effectively reduce the fuel cost of a biomass power plant.The optimization of the logistics,may not only reduce the cost of feedstock collection,storage and transportation,but also improve the utilization rate of biomass resources to ensure the overall economic benefits of biomass power generation.(2)There are differences in the effect of carbon dioxide emission reductions in different biomass power plant location programs.Considering the carbon dioxide emissions from feedstock supply chains when deciding a biomass power plant site will improve the overall environmental benefits of biomass power generation.(3)There is a clear phenomenon of efficiency “trade off” in the economic and environmental aspects of biomass power plant location and supply chain designs.So,in selecting optimization programs,it is necessary to consider not only the economic and environmental benefits,but also the resource utilization and supply chain flexibility and other factors.(4)The cost of carbon dioxide emissions from the supply chain included in the total cost of the logistics system does not affect the location decision of a biomass power plant.Therefore,biomass power enterprises will not take the initiative to select low-carbon plant locations and feedstock supply chain designs.It’s necessary that the government gives them guidance and appropriate subsidies.