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生物质直燃发电燃料供应链库存系统优化

发布时间:2018-04-24 09:46

  本文选题:生物质发电 + 多生物质 ; 参考:《南京航空航天大学》2014年硕士论文


【摘要】:生物质直燃发电在我国占据较多的市场,而其频发的亏损问题,也使各电厂运行及国家新能源规划面临窘境。国外关于生物质能源的研究不符合我国的电厂实际情况,而国内的研究偏向于经验性分析而不是理论及实证研究。因而本文在发现电厂问题时提供可供电厂使用的降低企业运营成本的方法。 本文通过查阅大量生物质发电相关的文献,及进行实地调研,分析了我国生物质发电供应链库存的特点及构成,识别出待解决的问题,将主要问题定位为仓库规模优化,仓库内布局设计及库存控制以降低运营成本。 在上述分析的基础上,对生物质电厂的燃料需求量及可供应量进行测算,确定电厂仓库规模优化时的先决条件;然后建立仓库规模动态规划模型,在优化结果的基础上,使用SLP方法对仓库内部进行平面布局设计,并确定仓库的结构,使用的电子衡及起重机参数。随后,,以优化的电厂规模为上限,建立多生物质库存控制的非线性规划模型,提供给电厂可供选择的库存控制策略。在综合了以上的研究思想之后,本文建立了仓库规模与库存控制联合动态优化模型,适用于新建电厂的系统规划。 最后,对30MW生物质电厂进行分析,运用前文提出的方法进行测算及设计,最终得出优化结果。优化后,仓库规模比实际节约4%-6%,仓库运营成本节约2.8%左右,在80-100万元之间;优化后的仓库规模,使用SLP方法设计的料场平面布局,能够满足要求;库存控制策略,本研究推荐使用电厂向收购站整体订货,收购站内部分配订货批量的策略;对于电厂与收购中安全库存水平的设置,使用敏感性分析方法可以确定一定的范围。
[Abstract]:Biomass direct-fired power generation occupies a large market in China, and its frequent loss also makes the operation of power plants and national new energy planning face a dilemma. The research on biomass energy in foreign countries does not accord with the actual situation of power plants in China, but the domestic research tends to empirical analysis rather than theoretical and empirical research. Therefore, this paper provides a method to reduce the operating cost of the power plant when it finds the power plant problem. This paper analyzes the characteristics and composition of biomass power supply chain inventory in China, identifies the problems to be solved, and defines the main problem as the optimization of warehouse scale by consulting a large number of biomass power generation related documents and carrying out field investigation. Warehouse layout design and inventory control to reduce operating costs. On the basis of the above analysis, the fuel demand and the available supply of biomass power plant are measured, and the precondition of optimizing the scale of power plant warehouse is determined, and then the dynamic programming model of warehouse scale is established, based on the optimization results, The SLP method is used to design the layout of the warehouse, and the structure of the warehouse, the electronic scale and the crane parameters are determined. Then, the nonlinear programming model of multi-biomass inventory control is established with the optimized power plant size as the upper limit, which provides the alternative inventory control strategy for the power plant. After synthesizing the above research ideas, this paper establishes the joint dynamic optimization model of warehouse scale and inventory control, which is suitable for the system planning of new power plants. Finally, the 30MW biomass power plant is analyzed, the method proposed above is used to calculate and design, and the optimization result is obtained. After optimization, the warehouse scale is saved 4%-6%, the cost of warehouse operation is about 2.8%, between 80 and 1 million yuan; the optimized warehouse scale, the layout of material yard designed by SLP method, can meet the requirements; the inventory control strategy, This study recommends to use the strategy of overall ordering from the power plant to the purchasing station and the allocation of the order batch within the purchasing station. The sensitivity analysis method can be used to determine a certain range for the setting of the safety inventory level in the power plant and the purchase.
【学位授予单位】:南京航空航天大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F426.61;F274

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