Optimization of lignocellulosic biomass-to-biofuel supply chains with densification: Literature review

被引:48
作者
Albashabsheh, Nibal T. [1 ,2 ]
Stamm, Jessica L. Heier [1 ]
机构
[1] Kansas State Univ, Dept Ind & Mfg Syst Engn, 2061 Rathbone Hall,1701B Platt St, Manhattan, KS 66506 USA
[2] Univ Jordan, Dept Ind Engn, Amman 11942, Jordan
关键词
Biomass-to-biofuel supply chain; Densification; Logistics; Optimization modeling; Lignocellulosic biomass; GEOGRAPHIC INFORMATION-SYSTEMS; EXISTING PETROLEUM REFINERIES; CORN STOVER; FAST PYROLYSIS; STOCHASTIC OPTIMIZATION; PROGRAMMING APPROACH; FEEDSTOCK LOGISTICS; CELLULOSIC BIOMASS; PROCESSING DEPOTS; PROCESS VARIABLES;
D O I
10.1016/j.biombioe.2020.105888
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Densification techniques, such as baling, pelleting, and pyrolysis, help mitigate logistics costs associated with biomass transportation, storage, and handling, but the role of densification within the overall biomass-to-biofuel supply chain context is not yet well understood. This paper reviews the literature for modeling and optimization studies of lignocellulosic biomass supply chains with densification processes. Research studies in academic journals, books, and trade publications are classified based on four criteria: biomass type, densification form, analytical methodology, and densification machines' mobility. We find that baling is the most-studied densification technique, while optimization modeling is the most common analysis method. Although pelleting and pyrolysis achieve a higher density than baling, comparatively few studies have examined their role in the overall supply chain. We identify future research opportunities, the most significant of which are integrating mobile densification and introducing comprehensive biomass-to-biofuel supply chain optimization models.
引用
收藏
页数:10
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