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Greenhouse Gas Emissions Reductions Enabled by Digital Twins
2022
Proceedings of the 13th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2022
unpublished
We will shortly describe the using of a digital twin in the context of a near-real time Decision Support System oriented to the objective of making continuous and incremental decisions related to the carbon footprint of an industrial facility, by means of creating projects related to scheduled maintenance turnaround. This may also be related to decisions regarding parallel capital investment, in which case it would support a justification for the associated inversion. On this article we will
doi:10.54808/imcic2022.02.141
fatcat:syn3addjj5fenjvho6wbi7nxqq