A water saving methodology for the efficient development of biorefineries

Nikolakopoulos, A; Karagiannakis, P; Galanis, A; Kokossis, A

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