dc.contributor.author | Hamedi, Homa | |
dc.contributor.author | Karimi, Iftekhar | |
dc.contributor.author | Gundersen, Truls | |
dc.date.accessioned | 2021-02-23T09:49:32Z | |
dc.date.available | 2021-02-23T09:49:32Z | |
dc.date.created | 2020-09-17T16:32:39Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Energy Conversion and Management. 2020, 203 1-14. | en_US |
dc.identifier.issn | 0196-8904 | |
dc.identifier.uri | https://hdl.handle.net/11250/2729697 | |
dc.description.abstract | Integrating work synergistically within heat exchange networks can offer considerable energy savings. Several publications have attempted to optimize this integration using a mathematical programming approach. However, the equation-based approach necessitates simplifications, and requires analytical correlations that often fail to reflect thermophysical properties accurately. In this article, the first simulation-based methodology is presented for work-integrated heat exchange network synthesis, which needs no correlations or simplifying assumptions. For this, a generalized superstructure is proposed, which not only accommodates the liquid and vapour-liquid phases, but also reduces the feasible search region for network synthesis. Particle swarm optimization has been used as the more suitable method for the proposed non-convex multi-modal simulation-based optimization problem. The methodology is illustrated using several scenarios of a literature case study on a liquid energy chain. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Simulation-based approach for integrating work within heat exchange networks for sub-ambient processes | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 1-14 | en_US |
dc.source.volume | 203 | en_US |
dc.source.journal | Energy Conversion and Management | en_US |
dc.identifier.doi | 10.1016/j.enconman.2019.112276 | |
dc.identifier.cristin | 1830952 | |
dc.description.localcode | © 2020. This is the authors’ accepted and refereed manuscript to the article. Locked until 19. November 2021 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |