秸秆发电企业燃料运输成本核算及优化分析
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摘要
长期稳定的秸秆资源供应和较低的秸秆运输成本是秸秆发电企业得以盈利并保证长久运营的关键因素。借此以长春市两个备选秸秆发电厂为研究对象,结合草谷比系数、可利用系数、可能源化利用系数等因素估算出备选厂址30km范围内的可能源化利用秸秆资源量。在此基础上,构建秸秆运输成本优化模型,计算出两个备选厂址的秸秆最优运输成本,并对影响运输成本的因素进行敏感性分析。结果表明:两个备选厂址中万顺乡的秸秆最优运输成本较低,敏感性分析发现秸秆含水率和最低秸秆库存数量是影响秸秆到厂运输成本的主要因素。
Long-term and stable supply of straw resources and low straw transportation cost are the key factors for straw power generation plants to make profits and ensure long-term operation.In this paper,two alternative straw power generation plant sites in Changchun City were taken as the research objects,and the possible straw resources within 30 km of the alternative site were estimated based on factors such as grass-grain ratio,availability coefficient,and utilization coefficient for energy purpose.Based on this,a transportation cost optimization model for straw biomass was established. The straw biomass transportation costs of the two alternative sites were calculated,and the sensitivity analyses were conducted on the factors affecting the transportation costs.The result showed that the straw biomass transportation cost for Wanshun town was relatively lower,and the moisture content and lowest inventory requirement at plant were the main factors affecting the straw biomass transportation cost.
Long-term and stable supply of straw resources and low straw transportation cost are the key factors for straw power generation plants to make profits and ensure long-term operation.In this paper,two alternative straw power generation plant sites in Changchun City were taken as the research objects,and the possible straw resources within 30 km of the alternative site were estimated based on factors such as grass-grain ratio,availability coefficient,and utilization coefficient for energy purpose.Based on this,a transportation cost optimization model for straw biomass was established. The straw biomass transportation costs of the two alternative sites were calculated,and the sensitivity analyses were conducted on the factors affecting the transportation costs.The result showed that the straw biomass transportation cost for Wanshun town was relatively lower,and the moisture content and lowest inventory requirement at plant were the main factors affecting the straw biomass transportation cost.
引文
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[2]马洪儒,张运真.秸秆发电技术研究进展与分析[J].水利电力机械,2006,28(12):9-13.
[3]李忠.秸秆综合利用现状与对策分析[J].中国资源综合利用,2017(12):72-74.
[4]陈丽欢.生物质发电秸秆收集储存运输物流技术规范研究[D].南京:南京农业大学,2011.
[5]曹溢,沈辉.秸秆发电过程中原料收集的成本分析[J].电力与能源,2012,33(5):463-466.
[6]黄少鹏.影响秸秆发电产业发展的制约因素分析——基于五河凯迪生物质能发电厂调研[J].再生资源与循环经济,2014,7(8):17-19.
[7]许文秀,张珊珊,吴金卓.城市停车换乘两阶段选址模型[J].交通科技与经济,2018,20(1):13-16.
[8]张世龙,郑美灵.生物质直燃发电项目经济效益分析及政策选择[J].杭州电子科技大学学报(社会科学版),2013(1):36-41.
[9]闻雯.我国秸秆发电原料供应链成员间的博弈分析[D].南京:南京航空航天大学,2015.
[10]王丽欣,胡晋山.基于移动GIS物流管理系统的设计与开发[J].交通科技与经济,2017,19(3):58-62.
[11]高建伟,张昊渤,纵翔宇.秸秆发电厂秸秆收购优化方案及其成本估算模型[J].可再生能源,2017,35(1):141-147.
[12]汪芳,陈新春.农作物秸秆利用现状及综合利用技术[J].农技服务,2007,24(8):117-117.
[13]顾克军,顾东祥,张斯梅,等.耕作与秸秆还田方式对稻茬麦草谷比及麦秸可收集系数的影响[J].江西农业学报,2014,26(4):6-9.
[14]毕于运,高春雨,王亚静,等.中国秸秆资源数量估算[J].农业工程学报,2009,25(12):211-217.
[15]BUSSIECK M R,MEERAUS A.General Algebraic Modeling System(GAMS)[M].Modeling Languages in Mathematical Optimization.Springer US,2004:137-157.
[16]SOKHANSANJ S,KUMAR A,TURHOLLOW A F.Development and implementation of integrated biomass supply analysis and logistics model(IBSAL)[J].Biomass&Bioenergy,2006,30(10):838-847.