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dc.contributor.author
Magioglou, Vassilis
dc.contributor.author
Capón-García, Elisabet
dc.contributor.author
Badr, Sara
dc.contributor.author
Kokossis, Antonis
dc.contributor.editor
Gernaey, Krist V.
dc.contributor.editor
Huusom, Jakob K.
dc.contributor.editor
Gani, Rafiqul
dc.date.accessioned
2020-07-22T07:01:45Z
dc.date.available
2017-06-11T23:02:07Z
dc.date.available
2020-07-22T07:01:45Z
dc.date.issued
2015
dc.identifier.isbn
978-0-444-63429-0
en_US
dc.identifier.isbn
978-0-444-63577-8
en_US
dc.identifier.issn
1570-7946
dc.identifier.other
10.1016/B978-0-444-63577-8.50008-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/110203
dc.description.abstract
Waste management systems are complex interactive networks of data, knowledge and models comprising multiple parameters. In these systems the technologies and their models interact with each other in order to fully describe the problem. Inputs and outputs of the models intersect depending on the various parameters. These parameters, such as composition, pH, temperature etc., need to be computed simultaneously in order to select the appropriate processing path prior to model development. Therefore, the the selected path and the waste stream characteristics determine the context of the model. Waste management systems involve non-experts in decisions that require expertise from many disciplines. The need to synthesize the multidisciplinary domains of waste, integrate the knowledge and express them with common natural language terms is outlined by this work. The work builds on recent technology that was produced to synthesize superstructures for integrated biorefineries (Magioglou et al. 2014), which now extends to decision-making and allocation problems for waste management systems. The approach employs ontologies, Java language, OpenBabel library and suggests a natural language framework. Illustrations include an industrial wastewater treatment system of the chemical sector which evaluates the environmental impacts. The framework successfully synthesizes the network and allocates the waste, technologies, streams and auxiliaries along with their parameters.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Waste management
en_US
dc.subject
Ontologies
en_US
dc.subject
Modelling
en_US
dc.subject
Automation
en_US
dc.subject
Waste water
en_US
dc.title
Model-based Analysis of Waste Management Systems through a Natural Language Approach
en_US
dc.type
Conference Paper
dc.date.published
2015-06-10
ethz.book.title
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering
en_US
ethz.journal.title
Computer Aided Chemical Engineering
ethz.journal.volume
37
en_US
ethz.journal.issue
Part B
en_US
ethz.pages.start
977
en_US
ethz.pages.end
982
en_US
ethz.event
12th International Symposium on Process Systems Engineering (PSE) and 25th European Symposium on Computer Aided Process Engineering (ESCAPE)
en_US
ethz.event.location
Copenhagen, Denmark
en_US
ethz.event.date
May 31 - June 4, 2015
en_US
ethz.identifier.wos
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-11T23:02:55Z
ethz.source
ECIT
ethz.identifier.importid
imp593653efb04c076874
ethz.ecitpid
pub:171387
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-17T09:31:39Z
ethz.rosetta.lastUpdated
2021-02-15T15:36:17Z
ethz.rosetta.versionExported
true
ethz.COinS
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