Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/108561
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorZhou, J-
dc.creatorShi, T-
dc.creatorQian, Q-
dc.creatorHe, C-
dc.creatorRen, J-
dc.date.accessioned2024-08-19T01:59:07Z-
dc.date.available2024-08-19T01:59:07Z-
dc.identifier.urihttp://hdl.handle.net/10397/108561-
dc.language.isoenen_US
dc.publisherCell Pressen_US
dc.rights© 2023 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Zhou, J., Shi, T., Qian, Q., He, C., & Ren, J. (2023). Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools. STAR Protocols, 4(4), 102685 is available at https://doi.org/10.1016/j.xpro.2023.102685en_US
dc.titleProtocol for the design and accelerated optimization of a waste-to-energy system using AI toolsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume4-
dc.identifier.issue4-
dc.identifier.doi10.1016/j.xpro.2023.102685-
dcterms.abstractAmid a surge in waste volume, the need to achieve sustainable waste treatment has become increasingly important. Here, we present a protocol for the design and accelerated optimization of a waste-to-energy system using artificial intelligence tools. We describe steps for waste treatment process advancement as demonstrated by the medical waste-to-methanol conversion and implementing data-driven process optimization. We then detail procedures for streamlining tasks by establishing connectivity between systems such as Aspen Plus and MATLAB. Graphical abstract: [Figure not available: see fulltext.]-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSTAR protocols, 15 Dec. 2023, v. 4, no. 4, 102685-
dcterms.isPartOfSTAR protocols-
dcterms.issued2023-12-15-
dc.identifier.scopus2-s2.0-85175439077-
dc.identifier.pmid37905497-
dc.identifier.eissn2666-1667-
dc.identifier.artn102685-
dc.description.validate202408 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Committee of The Hong Kong Polytechnic University; Consulate General of France in Hong Kong; Research Institute for Advanced Manufacturing (RIAM), The Hong Kong Polytechnic University (PolyU)en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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