DC FieldValueLanguage
dc.contributor.authorHarding, Laura-Selin-
dc.contributor.authorSchroeder, Moritz-
dc.contributor.authorFieg, Georg-
dc.date.accessioned2019-04-26T08:25:41Z-
dc.date.available2019-04-26T08:25:41Z-
dc.date.issued2018-01-
dc.identifier.citationComputer Aided Chemical Engineering (44): 1027-1032 (2018-01)de_DE
dc.identifier.isbn978-044464241-7de_DE
dc.identifier.issn1570-7946de_DE
dc.identifier.urihttp://hdl.handle.net/11420/2530-
dc.description.abstractThe reactive distillation and the reactive dividing wall column are examples of integrated reaction and separation processes, which show significant savings in investment as well as operational costs. Due to the high grade of integration the behavior of these processes is strongly nonlinear. This results in several local optima and thus the determination of energy optimal designs is quite challenging. Additionally, it is not trivial to understand and predict how the process performs in detail. Still, a fundamental process understanding is indispensable for a safe and energy efficient design of integrated reaction and separation processes. Therefore, a new hybrid global optimization method is presented, which is based on an evolutionary algorithm. This holistic approach is advantageous for optimization problems where the optimal values of the decision variables depend strongly on a certain decision variable. Dependencies of the process parameters can be deduced easily and a comprehensive process analysis can be carried out.en
dc.language.isoende_DE
dc.titleHybrid Global Optimization Method for the Analysis of Integrated Reaction and Separation Processesde_DE
dc.typeinBookde_DE
dc.type.dinibookPart-
dcterms.DCMITypeText-
tuhh.abstract.englishThe reactive distillation and the reactive dividing wall column are examples of integrated reaction and separation processes, which show significant savings in investment as well as operational costs. Due to the high grade of integration the behavior of these processes is strongly nonlinear. This results in several local optima and thus the determination of energy optimal designs is quite challenging. Additionally, it is not trivial to understand and predict how the process performs in detail. Still, a fundamental process understanding is indispensable for a safe and energy efficient design of integrated reaction and separation processes. Therefore, a new hybrid global optimization method is presented, which is based on an evolutionary algorithm. This holistic approach is advantageous for optimization problems where the optimal values of the decision variables depend strongly on a certain decision variable. Dependencies of the process parameters can be deduced easily and a comprehensive process analysis can be carried out.de_DE
tuhh.publisher.doi10.1016/B978-0-444-64241-7.50166-X-
tuhh.publication.instituteProzess- und Anlagentechnik V-4de_DE
tuhh.type.opusInBuch (Kapitel / Teil einer Monographie)-
tuhh.institute.germanProzess- und Anlagentechnik V-4de
tuhh.institute.englishProzess- und Anlagentechnik V-4de_DE
tuhh.gvk.hasppnfalse-
dc.type.driverbookPart-
dc.type.casraiBook Chapter-
tuhh.container.startpage1027de_DE
tuhh.relation.ispartofseriesComputer aided chemical engineeringde_DE
item.seriesrefComputer aided chemical engineering-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeinBook-
item.grantfulltextnone-
item.creatorOrcidHarding, Laura-Selin-
item.creatorOrcidSchroeder, Moritz-
item.creatorOrcidFieg, Georg-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.creatorGNDHarding, Laura-Selin-
item.creatorGNDSchroeder, Moritz-
item.creatorGNDFieg, Georg-
item.tuhhseriesidComputer aided chemical engineering-
item.cerifentitytypePublications-
crisitem.author.deptProzess- und Anlagentechnik V-4-
crisitem.author.deptProzess- und Anlagentechnik V-4-
crisitem.author.deptProzess- und Anlagentechnik V-4-
crisitem.author.parentorgStudiendekanat Verfahrenstechnik-
crisitem.author.parentorgStudiendekanat Verfahrenstechnik-
crisitem.author.parentorgStudiendekanat Verfahrenstechnik-
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