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Total Site Integration for Non-Continuous Sites: Leveraging Machine Learning & Mathematical Programming

Walmsley, Timothy Gordon and Hall, Keegan K. and Walden, Jasper Vincent Mathias and Nemet, Andreja (2024) Total Site Integration for Non-Continuous Sites: Leveraging Machine Learning & Mathematical Programming. 34th European Symposium on Computer Aided Process Engineering, 2024-06-02 - 2024-06-06, Florence, Italy.

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Item URL in elib:https://elib.dlr.de/205442/
Document Type:Conference or Workshop Item (Speech)
Title:Total Site Integration for Non-Continuous Sites: Leveraging Machine Learning & Mathematical Programming
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Walmsley, Timothy GordonAhuora - Centre for Smart Energy SystemsUNSPECIFIEDUNSPECIFIED
Hall, Keegan K.Ahuora - Centre for Smart Energy SystemsUNSPECIFIEDUNSPECIFIED
Walden, Jasper Vincent MathiasUNSPECIFIEDhttps://orcid.org/0000-0001-5068-4568167176573
Nemet, AndrejaUniversity of MariborUNSPECIFIEDUNSPECIFIED
Date:2024
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:process integration, non-continuous processing, pinch analysis, total site integration, machine learning, mathematical programming
Event Title:34th European Symposium on Computer Aided Process Engineering
Event Location:Florence, Italy
Event Type:international Conference
Event Start Date:2 June 2024
Event End Date:6 June 2024
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:High-Temperature Thermal Technologies
DLR - Research area:Energy
DLR - Program:E SP - Energy Storage
DLR - Research theme (Project):E - Low-Carbon Industrial Processes
Location: Cottbus
Institutes and Institutions:Institute of Low-Carbon Industrial Processes
Institute of Low-Carbon Industrial Processes > Simulation and Virtual Design
Deposited By: Walden, Jasper Vincent Mathias
Deposited On:10 Sep 2024 15:16
Last Modified:10 Sep 2024 15:16

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