840
Views
6
CrossRef citations to date
0
Altmetric
Review

Radioactive waste processing using membranes: State of the art technology, challenges and perspectives

ORCID Icon, ORCID Icon, , , , , , & show all
Pages 143-173 | Received 17 Jun 2020, Accepted 15 Dec 2020, Published online: 23 Mar 2021
 

ABSTRACT

Among the various separation technologies used to treat radioactive wastes, membrane technologies have been chosen in this article since they have many advantages over conventional processes. Membrane technology can be classified into different processes and, for each process, progress made till date in the radioactive decontamination of water is presented. The new directions are shown by considering advances made in membrane manufacturing and membrane processes. Thus, the combined efforts of the researchers who are engaged in membrane and membrane process design and in nuclear waste treatment were highlighted. This article focuses on applications of membrane technology in the nuclear industry and covers recent advances particularly in the field of radioactive liquid waste processing on laboratory, pilot and plant scale. Forward osmosis is highlighted for radioactive waste treatment as several recent publications pointed its potential. Some of our results Bhabha Atomic Research Centre, India) with respect to membrane-based processes are also presented.

ACKNOWLEDGMENTS

Authors thank Shri. K. V. Ravi, Chief Executive, Nuclear Recycle Board, Bhabha Atomic Research Centre, for supporting this work.

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 757.00 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.