BibTex format
@inproceedings{Panteli:2016,
author = {Panteli, A and Giarola, S and Shah, N},
pages = {197--199},
title = {A generic MILP modelling framework for the systematic design of lignocellulosic biorefining supply chains},
year = {2016}
}
Citation
RIS format (EndNote, RefMan)
TY - CPAPER
AB - The development of sustainable biobased economies could help overcome the high societal dependency on fossil resources. Therefore, research has focused on the study of advanced biorefining networks. The complexity of such production systems requires the use of efficient decision-making tools, enabling a full exploitation of biomass (and its macrocomponents, i.e. cellulose, hemicellulose and lignin) for the production of biobased products and platform chemicals (Kokossis and Yang, 2010). Therefore, it is also essential to identify the most promising pretreatment process that fractionates biomass into cellulose, hemicellulose and lignin and usually represents the highest cost part of the entire biorefining system. In addition, the deployment of second-generation technologies is still hindered by high capital costs as well as the existence of uncertainties (e.g. demand and price of biobased products) in the so far immature biobased market. Consequently, one of the most important and challenging aspects in the quest of producing a set of sustainable biobased products, is the design of an integrated and economically viable biorefinery supply network (Akgul et al., 2011; Martín and Grossmann, 2010; uek et al., 2014). Optimisation tools could play a powerful role supporting decision in such novel production systems, through the identification of the major cost drivers, the performance of sensitivity analysis as well as the assessment of economic and technical uncertainties (Kim et al., 2013). The aim of this work is the modelling and optimization of biorefining chain systems using an integrated approach to the modelling of all the entities involved across the technology chain, with the purpose of achieving a long-term, decision-making regarding the systematic design and planning of advanced biorefining networks.
AU - Panteli,A
AU - Giarola,S
AU - Shah,N
EP - 199
PY - 2016///
SP - 197
TI - A generic MILP modelling framework for the systematic design of lignocellulosic biorefining supply chains
ER -
Contact us
Group leads
General Enquiries
Media & Communications Enquiries
Email Greg Brina
Address
Sustainable Gas Institute
14 Prince's Gardens
Imperial College London
South Kensington
London
SW7 1NA