176
Views
1
CrossRef citations to date
0
Altmetric
Article

Novel concept for a filtered containment venting system with an ionic liquid to remove organic iodine (1)-proof of concept for organic iodine removal

, , &
Pages 1563-1572 | Received 21 Sep 2022, Accepted 12 Jun 2023, Published online: 17 Jul 2023
 

ABSTRACT

Ionic liquid (IL) as a chemical adsorbent used in a filtered containment venting system (FCVS) in a nuclear power plant was considered as a new mitigation method for radioactive organic iodine release in the event of a severe accident. In order to demonstrate proof of concept (PoC) for organic iodine removal with the IL, we evaluated the decontamination factor (DF) of the IL for the organic iodine at various temperatures as an index of removal performance. As a removal mechanism for organic iodine with the IL, it was assumed that the anions function to decompose organic halides such as by a Williamson ether synthesis reaction. We evaluated DF for organic iodine using the IL containing thiosulfate ions and while controlling temperature and residence time as changeable parameters. We determined the DF of the IL for the organic iodine was more than 100 in the temperature range from 393 to 433 K and residence time of 0.1 s or longer. The allowable chemical adsorption weight of organic iodine was 5.9 g kg-IL−1. It was concluded that IL was a possible candidate as an organic iodine adsorbent for a next-generation FCVS.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 97.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.