›› 2008, Vol. 8 ›› Issue (2): 305-313.

• 系统与集成 •

### 生物质资源收集过程成本、能耗及环境影响分析

1. 清华大学化学工程系反应工程实验室 清华大学化学工程系反应工程实验室 清华大学化学工程系反应工程实验室 清华大学化工系 清华大学
• 收稿日期:2007-06-12 修回日期:2007-11-20 出版日期:2008-04-20 发布日期:2008-04-20
• 通讯作者: 王垚

### Economic, Energy and Environment Analysis on Biomass Collection Process

XING Ai-hua LIU Gang WANG Yao WEI Fei JIN Yong

1. Beijing Key laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University Beijing Key laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University Beijing Key laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University Department of Chemical Engineering, Tsinghua University Department of Chemical Engineering, Tsinghua University
• Received:2007-06-12 Revised:2007-11-20 Online:2008-04-20 Published:2008-04-20
• Contact: WANG Yao

Abstract: The mathematical models simulating the collection cost, energy consumption and environmental pollution of biomass collection process have been established based on the island distribution of straw. The effect of straw compression on collection cost, energy consumption and environmental discharge is discussed for single resource island collection process. The equations for calculating critical collection amount and critical transportation distance are established. The parameter sensitivity analysis for collection cost and energy consumption is investigated respectively. The result shows that collection cost of unit mass straw is proportional to transportation distance and the inverted square root of resource density whether the straw is compressed or not. The collection cost without compression is proportional to the square root of the collection amount, while it decreases first and then increases as the collection amount increases for straw transportation following the compression. The sensitivity analysis shows that transportation fee rate, purchase price and transportation distance are the sensitive parameters for collection cost, which will lead to over ±17% fluctuation of collection cost when these parameters change in ±50%. The ±20% fluctuation of transportation oil consumption per tonne and kilometer and transportation distance will lead to ±17% change for energy consumption.