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dc.contributor.authorDoufene, Abdelkrim
dc.contributor.authorSakhrani, Vivek
dc.contributor.authorAlkhenani, Abdullah
dc.contributor.authorYu, Bo Yang
dc.contributor.authorAlsaati, Adnan
dc.contributor.authorAlfaris, Anas
dc.contributor.authorde Weck, Olivier
dc.date.accessioned2020-06-13T10:48:42Z
dc.date.available2020-06-13T10:48:42Z
dc.date.issued2020-06-13
dc.identifier.urihttps://hdl.handle.net/1721.1/125793
dc.description.abstractA generic design of a complex industrial system allows the reduction in engineering cost and time to market because of the ability to adapt a technical solution given a particular context. We present in this study a model-based design approach that allows managing variability and flexibility in design to support both near- and long-term decisions. A case study addressing a solar desalination combination problem illustrates this approach. The produced models are organized in an open-web decision support system, which governs access to an integrated suite of models. This suite includes computational models for the operation of three desalination and two solar technologies and a life-cycle investment model, first developed as stand-alone applications and then modularized with the web platform to provide a set of linked models. In addition, to assist a collaborative design of solar desalination plants, a possible application of this work is to support a new e-bidding process.en_US
dc.language.isoen_USen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subjectsystem architecture; multidisciplinary optimization; flexibility; variability; e-bidding; solar desalinationen_US
dc.titleModel Based System Design to Support Variability and Flexibility, and Early Bidding Phase of New Procurementen_US


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