Planning the restoration of membranes in RO desalination using a digital twin

van Rooij, Frits, Scarf, Philip and Do, Phuc Van 2022. Planning the restoration of membranes in RO desalination using a digital twin. Desalination 519 , 115214. 10.1016/j.desal.2021.115214

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Abstract

This paper describes the development of a decision support system (DSS) for evaluating membrane restoration strategy. The engine of the DSS is a digital twin (DT), a virtual representation of wear (degradation) and restoration of membrane elements in a reverse osmosis (RO) pressure vessel. The basis of the DT is a mathematical model that describes an RO vessel as a novel multi-component system in which the wear-states of individual elements (components) are quantified and elements can be swapped or replaced. This contrasts with the contemporary presentation in the literature of a membrane system as a single system. We estimate the parameters of the model using statistical methods. We describe our approach in the context of a case study on the Carlsbad Desalination Plant in California, which suffers from biofouling due to seasonal algae blooms. Our results show a good fit between the observed and the modelled wear-states. Competing policies are compared based on risk, cost, downtime, and number of stoppages. Projections indicate that a significant cost-saving can be achieved while not compromising the integrity of plant.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Elsevier
ISSN:	0011-9164
Date of First Compliant Deposit:	23 June 2021
Date of Acceptance:	23 June 2021
Last Modified:	03 Dec 2024 11:45
URI:	https://orca.cardiff.ac.uk/id/eprint/142146

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