Pinch-based targeting methodology for multi-contaminant material recycle/reuse
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU138464" target="_blank" >RIV/00216305:26210/21:PU138464 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0009250920306618?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0009250920306618?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ces.2020.116129" target="_blank" >10.1016/j.ces.2020.116129</a>
Alternative languages
Result language
angličtina
Original language name
Pinch-based targeting methodology for multi-contaminant material recycle/reuse
Original language description
This work presents a systematic resource targeting procedure in the domain of multiple contaminants water recycling/reuse network. A resource-allocation model was developed and modified to determine the model characteristics, to obtain the optimal solution. By inferring from the formulations, it is recognised that each water sink is constrained by a certain contaminant. This plays a vital role in determining the assignment of sinks to the proper contaminants cascade, classifying them to below or above the Pinch Region, and the source allocation strategy. Multiple Targeting Pinch Diagrams with Source and Sink Composite Curves then should be plotted for each contaminant. Each contaminant is assigned a specific separate Pinch Plot and analysed sequentially until the demands of all sinks are fulfilled. The credibility of the novel approach is demonstrated by several industrial case studies encompassing problems with a fresh and impure resource. The method provides insights into the problem while providing the minimum resource target. (C) 2020 Elsevier Ltd. All rights reserved.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Chemical Engineering Science
ISSN
0009-2509
e-ISSN
1873-4405
Volume of the periodical
neuveden
Issue of the periodical within the volume
230
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
116129-116129
UT code for WoS article
000600281200005
EID of the result in the Scopus database
2-s2.0-85092104866