本文選題：生物質(zhì)發(fā)電 + 多生物質(zhì)�。� 參考：《南京航空航天大學(xué)》2014年碩士論文

【摘要】：生物質(zhì)直燃發(fā)電在我國占據(jù)較多的市場，而其頻發(fā)的虧損問題，也使各電廠運(yùn)行及國家新能源規(guī)劃面臨窘境。國外關(guān)于生物質(zhì)能源的研究不符合我國的電廠實際情況，而國內(nèi)的研究偏向于經(jīng)驗性分析而不是理論及實證研究。因而本文在發(fā)現(xiàn)電廠問題時提供可供電廠使用的降低企業(yè)運(yùn)營成本的方法。 本文通過查閱大量生物質(zhì)發(fā)電相關(guān)的文獻(xiàn)，及進(jìn)行實地調(diào)研，分析了我國生物質(zhì)發(fā)電供應(yīng)鏈庫存的特點(diǎn)及構(gòu)成，識別出待解決的問題，將主要問題定位為倉庫規(guī)模優(yōu)化，倉庫內(nèi)布局設(shè)計及庫存控制以降低運(yùn)營成本。 在上述分析的基礎(chǔ)上，對生物質(zhì)電廠的燃料需求量及可供應(yīng)量進(jìn)行測算，確定電廠倉庫規(guī)模優(yōu)化時的先決條件；然后建立倉庫規(guī)模動態(tài)規(guī)劃模型，在優(yōu)化結(jié)果的基礎(chǔ)上，使用SLP方法對倉庫內(nèi)部進(jìn)行平面布局設(shè)計，并確定倉庫的結(jié)構(gòu)，使用的電子衡及起重機(jī)參數(shù)。隨后，，以優(yōu)化的電廠規(guī)模為上限，建立多生物質(zhì)庫存控制的非線性規(guī)劃模型，提供給電廠可供選擇的庫存控制策略。在綜合了以上的研究思想之后，本文建立了倉庫規(guī)模與庫存控制聯(lián)合動態(tài)優(yōu)化模型，適用于新建電廠的系統(tǒng)規(guī)劃。 最后，對30MW生物質(zhì)電廠進(jìn)行分析，運(yùn)用前文提出的方法進(jìn)行測算及設(shè)計，最終得出優(yōu)化結(jié)果。優(yōu)化后，倉庫規(guī)模比實際節(jié)約4%-6%，倉庫運(yùn)營成本節(jié)約2.8%左右，在80-100萬元之間；優(yōu)化后的倉庫規(guī)模，使用SLP方法設(shè)計的料場平面布局，能夠滿足要求；庫存控制策略，本研究推薦使用電廠向收購站整體訂貨，收購站內(nèi)部分配訂貨批量的策略；對于電廠與收購中安全庫存水平的設(shè)置，使用敏感性分析方法可以確定一定的范圍。
[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.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F426.61;F274

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