Characterization and stochastic modeling of uncertainties in the biodiesel production

被引：18

作者：

Abbasi, Sheraz ^{[1
]}

Diwekar, Urmila M. ^{[1
,2
]}

机构：

[1] Univ Illinois, Dept Bioengn, Chicago, IL 60680 USA

[2] Vishwamitra Res Inst, CUSTOM, Clarendon Hills, IL 60514 USA

来源：

CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY | 2014年 / 16卷 / 01期

关键词：

Biodiesel; Stochastic modeling; Uncertainties; FUEL PROPERTIES; METHYL-ESTERS; CANOLA OIL; ACID; TRANSESTERIFICATION;

D O I：

10.1007/s10098-013-0596-4

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

There are inherent uncertainties in the biodiesel production process arising out of feedstock composition, operating and design parameters and can have significant impact on the product quality and process economics. In this paper, the uncertainties are quantified in the form of probabilistic distribution function. Stochastic modeling capability is implemented in the ASPEN process simulator to take into consideration these uncertainties and the output is evaluated to determine impact on process efficiency and quality of biodiesel.

引用

页码：79 / 94

页数：16

共 28 条

[1] Predicting the viscosity of biodiesel fuels from their fatty acid ester composition [J].