Hybrid cybernetic model-based simulation of continuous production of lignocellulosic ethanol: Rejecting abruptly changing feed conditions

Cited 6 time in webofscience Cited 0 time in scopus
  • Hit : 407
  • Download : 0
Fermenting various sugars derived from lignocellulosic biomass promises to be attractive for producing ethanol, an important alternative fuel. Diversity of lignocellulosic biomass sources and pre-processing variations mean entering sugars are expected to experience large, though infrequent, changes. Recent developments in hybrid cybernetic modeling allow efficient in silica studies. This enables studying sequential linearization-based model predictive control for ensuring high productivity and conversion, for a chemostat seeded with yeast capable of co-fermentation. An appropriate controlled variable (conversion) and control formulation are ascertained. Also, a recently proposed hidden-Markov disturbance model, capable of describing the aforesaid changes, results in closed-loop performance superior to the typical integrated white-noise assumption. (C) 2009 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2010-02
Language
English
Article Type
Article; Proceedings Paper
Keywords

PREDICTIVE CONTROL; YEAST; SYSTEMS; GLUCOSE; GROWTH; XYLOSE; PLANT; FUEL

Citation

CONTROL ENGINEERING PRACTICE, v.18, no.2, pp.177 - 189

ISSN
0967-0661
DOI
10.1016/j.conengprac.2009.09.002
URI
http://hdl.handle.net/10203/101335
Appears in Collection
CBE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 6 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0