AN ITERATIVE HYBRID ALGORITHM FOR PROCESS OPTIMIZATION OF A MULTI-PRODUCT LIGNOCELLULOSIC BIOREFINERY

被引：0

作者：

Giuliano, Aristide ^{[1
]}

Califano, Annalisa ^{[1
]}

Poletto, Massimo ^{[1
]}

Barletta, Diego ^{[1
]}

机构：

[1] Univ Salerno, Dept Ind Engn, Via Giovanni Paolo II 132, I-84084 Fisciano, SA, Italy

来源：

PAPERS OF THE 24TH EUROPEAN BIOMASS CONFERENCE: SETTING THE COURSE FOR A BIOBASED ECONOMY | 2016年

关键词：

biorefinery; biochemical; bioethanol; process design; optimization; PROCESS DESIGN; BIOETHANOL; BIOMASS; ETHANOL;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

An iterative hybrid algorithm is proposed for the economic process optimization of a multiproduct biorefinery. The design approach is based on the construction of a process superstructure. The algorithm is based on the sequential and iterative use of Mixed Integer Linear Programming solvers and of process simulators. The MILP model takes into account the rigorous reactor modelling results obtained by separate MATLAB calculations. The optimal flowsheet separation and purification section resulting from the MILP solution is simulated by ASPEN Plus. Process yields and equipment size obtained by ASPEN Plus are updated in the MILP problem. Iterations provide the ultimate optimal flowsheet, biomass allocation and yield to products.

引用

页码：1211 / 1216

页数：6

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