| The biomass energy is potential and renewable.As the main utilization mode of biomass energy,the biomass power generation is supported by Chinese government and grows rapidly in recent years.However,the biomass power generation industry has been constrained by biomass supplying.Agricultural and forestry wastes are used as biomass.They are dispersed,seasonal,corrosive,and low-density,which leads a high cost of biomass supplying and unstable supplying.Therefore,it's worth to study how to reduce the cost of biomass and improve the profitable of biomass power plant.The by-product of agricultural and forestry products plant can be used as biomass,that is called industrial biomass in this thesis.And the biomass power generation supply chain with dual-channel biomass supplying that includes agricultural biomass and industrial biomass is presented.A mixed integer programming model is proposed to optimize the biomass power generation supply chain with dual-channel biomass supplying.The objective function of the model is to maximum the operating profit of the biomass power plant.The decision variables are the capacity of the plant and the relationship among the biomass suppliers and the plant.Then the model is simplified after analyzed.A heuristic algorithm constituted of an enumeration and a genetic algorithm has been designed based on the characters of the model to solve it.A case study of Biomass Power Plant A,B and C that are belong to the most typical Biomass Power Company(Company R)of China is shown.The optimization results under different scenarios are analyzed.The result shows that it's suitable for Biomass Power Plant A to expand capacity and Pant B and C should keep their initial capacity.The operating profit of Biomass Power Plant A,B and C can be increased by31.54%,6.12% and 6.57% through the optimization.Finally,the sensitivity analysis in terms of agricultural biomass supply variation and freight is presented,that confirmed the validity and stability of the optimization method. |
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