化工进展 ›› 2016, Vol. 35 ›› Issue (03): 773-779.DOI: 10.16085/j.issn.1000-6613.2016.03.019

• 能源加工与技术 • 上一篇    下一篇

粒度和含水率对秸秆成型燃料生产能耗的影响

左鹏鹏1, 杨俊红1, 黄涛2, 韩奎2, 王朴方1, 巩启涛1   

  1. 1 中低温热能高效利用教育部重点实验室, 天津大学机械工程学院, 天津 300072;
    2 西安市长安区新区热力有限公司, 陕西 西安 710100
  • 收稿日期:2015-07-27 修回日期:2015-08-24 出版日期:2016-03-05 发布日期:2016-03-05
  • 通讯作者: 左鹏鹏(1989-),男,硕士研究生,主要从事生物质成型燃料研究。E-mail:13820058072@163.com.

Effects of particle sizes and moisture content on energy consumption of straw briquette fuel processing

ZUO Pengpeng1, YANG Junhong1, HUANG Tao2, HAN Kui2, WANG Pufang1, GONG Qitao1   

  1. 1 Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, MOE, School of Mechanical Engineering, Tianjin University, Tianjin 300072, China;
    2 Xi'an Chang'an District New City Heating Power Co., Ltd., Xi'an 710100, Shaanxi, China
  • Received:2015-07-27 Revised:2015-08-24 Online:2016-03-05 Published:2016-03-05

摘要: 针对成型燃料规模化生产中原料参数的优化问题,以陕西某年产2万吨的秸秆成型燃料加工生产线为例,采用离散系统仿真软件ExtendSim对成型燃料生产线进行仿真。研究了粉碎粒度和干燥后的含水率对成型燃料的生产率及整体比能耗的影响,得出理论能耗的最优参数组合并与调研的生产性试验结果进行比较。敏感性分析发现,压块燃料的整体比能耗对参数变化更敏感,而颗粒燃料的生产率对参数变化更敏感。因此,按对参数变化敏感性更高的性能指标进行最优化参数选择。结果表明:与原经验参数相比,压块燃料按参数(15%,20~30mm)优化后理论节能11.64%,相关生产性试验节能10.36%;颗粒燃料按参数(10%,10mm)优化后理论节能5.58%,相关生产性试验节能6.36%.本文提出的按对参数变化更敏感的性能指标选择最优参数组合的方法使生产能耗更低,为成型燃料原料参数选择提供理论依据,指导工程实践。

关键词: 生物燃料, 生产, 粒度, 含水率, 整体比能耗, 模拟

Abstract: In order to select optimal raw material parameters in the straw briquette processing,a straw briquette processing plant in Shaanxi with annual output about 20000 tons was taken as an example. Using the discrete system simulation software ExtendSim,we made a simulation on the straw briquette production and investigated the effects of moisture content and crushing particle size of raw materials on specific energy consumption and productivity of the processing. We obtained the optimal parameters combination of theoretical energy consumption based on the results. Based on the sensitivity analysis,we concluded that energy consumption of briquette fuel was more sensitive to the parameters of raw material than those of its productivity,but the contrary conclusion applied to the pellet fuel. Hence,the optimal parameter selection was based on a performance indicator which was more sensitive to the parameters of raw material. We concluded that as for briquette fuel whose optimal parameters are 15% and 20-30mm,it will save 11.64% energy consumption theoretically and practically saved 10.36%. As for pellet fuel whose optimal parameters are 10% and 10mm,it will save 5.58% theoretically and 6.36% practically. Therefore,the optimal parameter combination chosen by the performance indicator is more energy-saving than the ones from the original parameters optimization experience. It provides a theoretical foundation for the optimal parameter selections in the straw briquette engineering production and helps to guide the engineering practice.

Key words: biofuels, productivity, particle size, moisture content, specific energy consumption, simulation

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