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Title: | Where is the greatest potential for resource recovery in wastewater treatment plants? |
Authors: | Renfrew, D Vasilaki, V McLeod, A Lake, A Danishvar, S Katsou, E |
Keywords: | resource recovery;circular economy;multi-criteria analysis;wastewater treatment;global sensitivity analysis |
Issue Date: | 25-May-2022 |
Publisher: | Elsevier |
Citation: | Renfrew, D. et al. (2022) 'Where is the greatest potential for resource recovery in wastewater treatment plants?', Water Research, 220, 118673, pp. 1 - 13. doi: 10.1016/j.watres.2022.118673. |
Abstract: | The restorative and regenerative ability of the circular economy has led to the rapid growth of this concept over the past decade, as it facilitates the broadly adopted principles of sustainable development and beyond, through restorative and regenerative actions. The water sector is poised to benefit from this transition, due to its intrinsic circularity and the resources it handles, predominantly found in wastewater, that are valuable and critical. Currently, the vast range of resource recovery technologies coupled with few industrial examples hinder strategic decision making. Resource recovery on a regional scale improves market share and mitigates investment risk, therefore, a structured approach has been developed for the selection of priority technologies to act as a guide for strategic planning. A representative UK wastewater model acts as the baseline, with multi-criteria analysis used to select resources and create an enhanced resource recovery scenario. It was found that implementing the recovery of 5 ‘priority resources’ (and technology pathways) increased nitrogen and phosphorus recovery by 68% and 71%, respectively. Lastly, the need for a cross-cutting approach for the holistic assessment of circular solutions is discussed. |
Description: | Supplementary materials are available online at: https://www.sciencedirect.com/science/article/pii/S0043135422006261?via%3Dihub#sec0025 . |
URI: | https://bura.brunel.ac.uk/handle/2438/24637 |
DOI: | https://doi.org/10.1016/j.watres.2022.118673 |
ISSN: | 0043-1354 |
Other Identifiers: | ORCiD: D.. Renfrew https://orcid.org/0000-0001-9399-9279 ORCiD: V. Vasilaki https://orcid.org/0000-0002-4670-5618 ORCiD: Sebelan Danishvar https://orcid.org/0000-0002-8258-0437 ORCiD: Evina Katsou https://orcid.org/0000-0002-2638-7579 Article no. 118673 |
Appears in Collections: | Dept of Computer Science Research Papers Dept of Mechanical and Aerospace Engineering Research Papers Institute of Environment, Health and Societies |
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FullText.pdf | Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). | 2.63 MB | Adobe PDF | View/Open |
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