dc.contributor.author | Doufene, Abdelkrim | |
dc.contributor.author | Sakhrani, Vivek | |
dc.contributor.author | Alkhenani, Abdullah | |
dc.contributor.author | Yu, Bo Yang | |
dc.contributor.author | Alsaati, Adnan | |
dc.contributor.author | Alfaris, Anas | |
dc.contributor.author | de Weck, Olivier | |
dc.date.accessioned | 2020-06-13T10:48:42Z | |
dc.date.available | 2020-06-13T10:48:42Z | |
dc.date.issued | 2020-06-13 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/125793 | |
dc.description.abstract | A 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.iso | en_US | en_US |
dc.rights | CC0 1.0 Universal | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.subject | system architecture; multidisciplinary optimization; flexibility; variability; e-bidding; solar desalination | en_US |
dc.title | Model Based System Design to Support Variability and Flexibility, and Early Bidding Phase of New Procurement | en_US |