dc.contributor.author | Arellano Prieto, Yessica Alexandra | |
dc.contributor.author | Stavland, Stian Husevik | |
dc.contributor.author | Chavez Panduro, Elvia Anabela | |
dc.contributor.author | Hamre, Børge | |
dc.contributor.author | Hjertaker, Bjørn Tore | |
dc.date.accessioned | 2022-07-29T07:37:06Z | |
dc.date.available | 2022-07-29T07:37:06Z | |
dc.date.created | 2022-06-21T15:02:28Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM) | en_US |
dc.identifier.isbn | 978-1-6654-0633-8 | |
dc.identifier.issn | 1551-2282 | |
dc.identifier.uri | https://hdl.handle.net/11250/3009113 | |
dc.description.abstract | Carbon Capture and Storage (CCS) is seen as a key strategy on the path to net-zero emission. Measurements of carbon dioxide-rich mixtures are vital for the forthcoming widespread implementation of CCS. The present study investigates the opportunities for use of tomography throughout the CCS value chain. Tomographic methods offer significant promise in measuring a broad spectrum of properties. Such measurements rely on the identification of contrasting properties from different substances. For tomographic technology to be a viable solution, the timescale and spatial resolution must be sufficient to capture the dynamics of the process being monitored. The present work evaluates to what extent foreseen changes in the properties of various CCS processes can be detected by tomographic measurements. The findings of the study disclose that tomography systems may offer advantages in monitoring and measuring CCS processes. Multimodal configurations could broaden the applicability of tomographic methods, especially in combination with fiscal meters or in scenarios where water presence is foreseen, like post-capture processes involving amines. However, further studies and experimental verification is required prior to widespread use. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.title | Imaging measurement technologies for CCS | en_US |
dc.title.alternative | Imaging measurement technologies for CCS | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.source.pagenumber | 56-60 | en_US |
dc.source.volume | 2022 | en_US |
dc.source.journal | Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop | en_US |
dc.identifier.doi | 10.1109/SAM53842.2022.9827823 | |
dc.identifier.cristin | 2033930 | |
dc.relation.project | Norges forskningsråd: 327056 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |