Optimization of Lignocellulosic Waste Biorefinery using Multi-Actor Multi-Objective Mathematical Framework

Muhammad T. Ashraf, Ana I. Torres, Iwona Cybulska, Chuanji Fang, Mette H. Thomsen, Jens E. Schmidt, George Stephanopoulos

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Lignocellulosic biorefineries consist of multiple processing steps that can be carried out by a single or by different actors. In the latter case, biorefineries can be decomposed into suppliers of intermediates and consumers of them. Following this decomposition, a multi-actor multi-objective optimization problem can be formulated and a two-level Lagrangian approach used to find the solution that optimizes the profit of the biorefinery. This methodology is applied here to a date palm waste biorefinery in which an organosolv process is used to produce a sugar stream; and fermentation to ethanol and succinic acid are considered to compete for the utilization of it. Results shows that at selling price of $400/t ethanol and $1500/t succinic acid, it is feasible to produce these products with an organosolv-sugar stream selling at $510/t.

Original languageEnglish (US)
Title of host publication26 European Symposium on Computer Aided Process Engineering, 2016
EditorsZdravko Kravanja, Milos Bogataj
PublisherElsevier B.V.
Pages1317-1322
Number of pages6
ISBN (Print)9780444634283
DOIs
StatePublished - Jan 1 2016
Externally publishedYes

Publication series

NameComputer Aided Chemical Engineering
Volume38
ISSN (Print)1570-7946

Fingerprint

Succinic Acid
Sugars
Sales
Ethanol
Acids
Multiobjective optimization
Fermentation
Profitability
Decomposition
Processing

Keywords

  • biorefinery
  • economic analysis
  • lignocellulosic
  • optimization

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Computer Science Applications

Cite this

Ashraf, M. T., Torres, A. I., Cybulska, I., Fang, C., Thomsen, M. H., Schmidt, J. E., & Stephanopoulos, G. (2016). Optimization of Lignocellulosic Waste Biorefinery using Multi-Actor Multi-Objective Mathematical Framework. In Z. Kravanja, & M. Bogataj (Eds.), 26 European Symposium on Computer Aided Process Engineering, 2016 (pp. 1317-1322). (Computer Aided Chemical Engineering; Vol. 38). Elsevier B.V.. https://doi.org/10.1016/B978-0-444-63428-3.50224-1

Optimization of Lignocellulosic Waste Biorefinery using Multi-Actor Multi-Objective Mathematical Framework. / Ashraf, Muhammad T.; Torres, Ana I.; Cybulska, Iwona; Fang, Chuanji; Thomsen, Mette H.; Schmidt, Jens E.; Stephanopoulos, George.

26 European Symposium on Computer Aided Process Engineering, 2016. ed. / Zdravko Kravanja; Milos Bogataj. Elsevier B.V., 2016. p. 1317-1322 (Computer Aided Chemical Engineering; Vol. 38).

Research output: Chapter in Book/Report/Conference proceedingChapter

Ashraf, MT, Torres, AI, Cybulska, I, Fang, C, Thomsen, MH, Schmidt, JE & Stephanopoulos, G 2016, Optimization of Lignocellulosic Waste Biorefinery using Multi-Actor Multi-Objective Mathematical Framework. in Z Kravanja & M Bogataj (eds), 26 European Symposium on Computer Aided Process Engineering, 2016. Computer Aided Chemical Engineering, vol. 38, Elsevier B.V., pp. 1317-1322. https://doi.org/10.1016/B978-0-444-63428-3.50224-1
Ashraf MT, Torres AI, Cybulska I, Fang C, Thomsen MH, Schmidt JE et al. Optimization of Lignocellulosic Waste Biorefinery using Multi-Actor Multi-Objective Mathematical Framework. In Kravanja Z, Bogataj M, editors, 26 European Symposium on Computer Aided Process Engineering, 2016. Elsevier B.V. 2016. p. 1317-1322. (Computer Aided Chemical Engineering). https://doi.org/10.1016/B978-0-444-63428-3.50224-1
Ashraf, Muhammad T. ; Torres, Ana I. ; Cybulska, Iwona ; Fang, Chuanji ; Thomsen, Mette H. ; Schmidt, Jens E. ; Stephanopoulos, George. / Optimization of Lignocellulosic Waste Biorefinery using Multi-Actor Multi-Objective Mathematical Framework. 26 European Symposium on Computer Aided Process Engineering, 2016. editor / Zdravko Kravanja ; Milos Bogataj. Elsevier B.V., 2016. pp. 1317-1322 (Computer Aided Chemical Engineering).
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