A Perspective on Challenges and Prospects for Applying Process Systems Engineering Tools to Fermentation-Based Biorefineries

被引:12
作者
Darkwah, Kwabena [1 ]
Knutson, Barbara L. [1 ]
Seay, Jeffrey R. [2 ]
机构
[1] Univ Kentucky, Dept Chem & Mat Engn, 177 F Paul Anderson Tower,512 Adm Dr, Lexington, KY 40506 USA
[2] Univ Kentucky, Dept Chem & Mat Engn, 4810 Alben Barkley Dr, Paducah, KY 42002 USA
关键词
Sugar platform; Bioprocess; Biochemical conversion; Lignocellulosic biomass; Process simulation; Mathematical models; Optimization; Multiobjective; ACETONE-BUTANOL-ETHANOL; CLOSTRIDIUM-BEIJERINCKII; METABOLIC MODELS; SIMULTANEOUS SACCHARIFICATION; BIOPROCESS SIMULATION; PRODUCT RECOVERY; SWEET SORGHUM; SUPPLY CHAINS; OPTIMIZATION; SUBSTRATE;
D O I
10.1021/acssuschemeng.7b03762
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Unlike traditional chemical and petrochemical processes, Process Systems Engineering (PSE) tools and methods have not been routinely applied for the design, analysis, and optimization of fermentation-based biorefineries. This has greatly limited the ability to analyze these biomass based processes, thus also limiting the potential profitability of biorefinery processes. This Perspective elucidates the challenges currently hindering the application of traditional PSE tools and methods to fermentation-based biorefineries. The current state of process simulators and mathematical models, the backbone of PSE, as applied to fermentation-based processes are addressed. Further, this contribution includes a proposed framework that can be applied to fermentation-based processes using existing process simulators with an illustrative case study to highlight how imperative PSE tools and methods are to the advancement of biorefineries. Finally, the future needs and prospects for using traditional PSE tools and methods for the design, analysis, and optimization of fermentation-based biorefineries to provide sustainable alternatives to existing processes and fossil-based products are discussed.
引用
收藏
页码:2829 / 2844
页数:31
相关论文
共 94 条
[51]  
Majozi T, 2012, COMPUT-AIDED CHEM EN, V31, P83
[52]  
Marquardt W, 2012, COMPUT-AIDED CHEM EN, V31, P19
[53]   Mechanistic Fermentation Models for Process Design, Monitoring, and Control [J].
Mears, Lisa ;
Stocks, Stuart M. ;
Albaek, Mads O. ;
Sin, Gurkan ;
Gernaey, Krist V. .
TRENDS IN BIOTECHNOLOGY, 2017, 35 (10) :914-924
[54]  
Mesfun S., 2013, Proc. 12th Int. Conf. Sustain. energy Technol, P1639
[55]  
Millat T., 2011, PH IND MET SHIFT AC
[56]   Mathematical modeling of biological systems [J].
Motta, Santo ;
Pappalardo, Francesco .
BRIEFINGS IN BIOINFORMATICS, 2013, 14 (04) :411-422
[57]   Challenges and opportunities in computer-aided molecular design [J].
Ng, Lik Yin ;
Chong, Fah Keen ;
Chemmangattuvalappil, Nishanth G. .
COMPUTERS & CHEMICAL ENGINEERING, 2015, 81 :115-129
[58]   Production of liquid biofuels from renewable resources [J].
Nigam, Poonam Singh ;
Singh, Anoop .
PROGRESS IN ENERGY AND COMBUSTION SCIENCE, 2011, 37 (01) :52-68
[59]   BIOPROCESS SIMULATION - AN INTEGRATED APPROACH TO PROCESS-DEVELOPMENT [J].
PETRIDES, D ;
COONEY, CL ;
EVANS, LB ;
FIELD, RP ;
SNOSWELL, M .
COMPUTERS & CHEMICAL ENGINEERING, 1989, 13 (4-5) :553-561
[60]  
Petrides Demetri, 2014, Bioengineering-Basel, V1, P154, DOI 10.3390/bioengineering1040154