Multiperiod work and heat integration

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dc.contributorComputer Optimization of Chemical Engineering Processes and Technologies (CONCEPT)es_ES
dc.contributor.authorPavão, Leandro V.-
dc.contributor.authorMiranda, Camila B.-
dc.contributor.authorCaballero, José A.-
dc.contributor.authorRavagnani, Mauro A.S.S.-
dc.contributor.authorCosta, Caliane B.B.-
dc.contributor.otherUniversidad de Alicante. Departamento de Ingeniería Químicaes_ES
dc.contributor.otherUniversidad de Alicante. Instituto Universitario de Ingeniería de los Procesos Químicoses_ES
dc.date.accessioned2020-11-13T11:48:29Z-
dc.date.available2020-11-13T11:48:29Z-
dc.date.issued2021-01-01-
dc.identifier.citationEnergy Conversion and Management. 2021, 227: 113587. https://doi.org/10.1016/j.enconman.2020.113587es_ES
dc.identifier.issn0196-8904 (Print)-
dc.identifier.issn1879-2227 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/110365-
dc.description.abstractThe synthesis of multiperiod heat exchanger networks (HEN) is a well-studied topic in heat integration. Several methods for identifying heat exchanger network designs that are able to feasibly operate under multiple conditions have been presented. Multiperiod models are certainly a notable form of achieving such resilient designs. In work and heat integration, however, solutions presented so far are for nominal conditions only. This work presents a step-wise optimization-based multiperiod work and heat exchange network synthesis framework. Hybrid meta-heuristic methods are used in the optimization steps. The methodology is able to obtain work and heat exchanger networks (WHENs) that are able to operate under multiple known scenarios. A set of critical conditions for stream properties in work integration is proposed. When these scenarios are modeled as finite operating periods (which are here referred to as non-nominal periods), a WHEN which can feasibly operate under nominal and critical conditions can be obtained. An example is tackled in two cases: the first, with one nominal and six critical, non-nominal periods; the second with two nominal and twelve non-nominal periods. Note that with that number of periods, the problem is considerably more complex than in multiperiod HEN synthesis (which usually comprises three or four periods). Solutions obtained with the present method are compared to those obtaining by simply merging single-period solutions obtained for each period individually. Capital investments are 30.2% and 58.2% lower in Cases 1 and 2 than in straightforwardly merged solutions. The capacity utilization parameters also demonstrate that the overdesign issue is notably reduced in these solutions.es_ES
dc.description.sponsorshipThe authors gratefully acknowledge the financial support from the Coordination for the Improvement of Higher Education Personnel – Process 88887.360812/2019-00 – CAPES (Brazil) and the National Council for Scientific and Technological Development – Processes 305055/2017-8, 311807/2018-6 and 428650/2018-0 – CNPq (Brazil).es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.rights© 2020 Elsevier Ltd.es_ES
dc.subjectOptimizationes_ES
dc.subjectWork and heat integrationes_ES
dc.subjectMultiperiod work and heat exchange networkses_ES
dc.subjectMeta-heuristicses_ES
dc.subjectProcess synthesises_ES
dc.subject.otherIngeniería Químicaes_ES
dc.titleMultiperiod work and heat integrationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1016/j.enconman.2020.113587-
dc.relation.publisherversionhttps://doi.org/10.1016/j.enconman.2020.113587es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
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