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A Review of Optimization Methods for Pipeline Monitoring Systems: Applications and Challenges for CO2 Transport

Xu, Teke; Martynov, Sergey; Mahgerefteh, Haroun; (2025) A Review of Optimization Methods for Pipeline Monitoring Systems: Applications and Challenges for CO2 Transport. Energies , 18 (14) , Article 3591. 10.3390/en18143591. Green open access

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Abstract

Carbon Capture and Storage (CCS) is a key technology for reducing anthropogenic greenhouse gas emissions, in which pipelines play a vital role in transporting CO2 captured from industrial emitters to geological storage sites. To aid the efficient and safe operation of the CO2 transport infrastructure, robust, accurate, and reliable solutions for monitoring pipelines transporting industrial CO2 streams are urgently needed. This literature review study summarizes the monitoring objectives and identifies the problems and relevant mathematical algorithms developed for optimization of monitoring systems for pipeline transportation of water, oil, and natural gas, which can be relevant to the future CO2 pipelines and pipeline networks for CCS. The impacts of the physical properties of CO2 and complex designs and operation scenarios of CO2 transport on the pipeline monitoring systems design are discussed. It is shown that the most relevant to liquid- and dense-phase CO2 transport are the sensor placement optimization methods developed in the context of detecting leaks and flow anomalies for water distribution systems and pipelines transporting oil and petroleum liquids. The monitoring solutions relevant to flow assurance and monitoring impurities in CO2 pipelines are also identified. Optimizing the CO2 pipeline monitoring systems against several objectives, including the accuracy of measurements, the number and type of sensors, and the safety and environmental risks, is discussed.

Type: Article
Title: A Review of Optimization Methods for Pipeline Monitoring Systems: Applications and Challenges for CO2 Transport
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/en18143591
Publisher version: https://doi.org/10.3390/en18143591
Language: English
Additional information: Copyright © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: Pipeline transport network; monitoring systems; optimization; sensor placement; algorithms
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10210942
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