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Platform chemicals : techno-economic analysis

Platform chemicals : τεχνο-οικονομική ανάλυση

Platform chemicals : techno-economic analysis

Abstract

Systematic methods, such as mathematical programming methods, are traditionally used in decision making concerning capacity planning, especially at tactical and operational level. However, it is the strategic level at which the use of systematic methods might have the greater impact as decisions at this level allocate irreversibly substantial resources. The aim of this work is to propose a mathematical programming methodology that can be used in assisting decision makers to undertake decisions related to the strategic (long term) planning of the valorization of industrial byproduct streams via white biotechnology. The novelty of the work presented is that it incorporates significant details of the bioprocess design at the strategic model and also use is made of a relatively accurate model for estimating the cost of manufacture of the alternative bioprocesses. An extensive case study is presented to demonstrate the advantages of the proposed systematic methodology.

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Greece
Related Organizations
Keywords

Optimization, Bioconversion, 330, Αξιοποίηση παραπροϊόντων, Βελτιστοποίηση, 660.63, By-product valorization, Βιομετατροπή, Modelling, Biorefinery, 620, Σχεδιασμός βιοδιεργασίας, Bioprocess design, Βιοδιυλιστήριο, Μοντελοποίηση

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green