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A water saving methodology for the efficient development of biorefineries

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dc.contributor.author Nikolakopoulos, A en
dc.contributor.author Karagiannakis, P en
dc.contributor.author Galanis, A en
dc.contributor.author Kokossis, A en
dc.date.accessioned 2014-03-01T02:07:34Z
dc.date.available 2014-03-01T02:07:34Z
dc.date.issued 2012 en
dc.identifier.issn 15707946 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29577
dc.subject Biorefineries en
dc.subject Mathematical modeling en
dc.subject Relative residuals en
dc.subject Water integration en
dc.title A water saving methodology for the efficient development of biorefineries en
heal.type journalArticle en
heal.identifier.primary 10.1016/B978-0-444-59519-5.50002-2 en
heal.identifier.secondary http://dx.doi.org/10.1016/B978-0-444-59519-5.50002-2 en
heal.publicationDate 2012 en
heal.abstract The paper addresses the complexities of biorefinery models in regards of minimizing water consumption, and offers paradigms of integration between mathematical programming methods and Water Pinch Analysis. In a new framework the Relative Residual Analysis (RRA) is introduced as a targeting tool of enhanced precision. Integrated water network designs are driven by RRA and accomplished through optimization of superstructure models (SM). The approach is illustrated through a water minimization problem in a real life bio-refinery, and mathematical formulations take the form of MILP and NLP models. Water targets report ∼18 % savings of use in the case of re-use, and ∼58% in the case of recycle-regeneration. © 2012 Elsevier B.V. en
heal.journalName Computer Aided Chemical Engineering en
dc.identifier.doi 10.1016/B978-0-444-59519-5.50002-2 en
dc.identifier.volume 30 en
dc.identifier.spage 7 en
dc.identifier.epage 10 en


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