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Xinyue paper Water Resources and Industry 2023.pdf (3.61 MB)

Capability evaluation of real-time inline COD detection technique for dynamic water footprint management in the beverage manufacturing industry

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posted on 2023-07-04, 16:01 authored by Xinyue Cui, Patrick WebbPatrick Webb, Shahin RahimifardShahin Rahimifard

This paper reports the development of a real-time inline Chemical Oxygen Demand (COD) detection technique in a beverage manufacturing plant in England and the evaluation of its capability for dynamic Water Footprint (WF) management. The inline technique employed Ultraviolet–Visible (UV-VIS) spectroscopy and Moving Window Partial Least Squares (mwPLS), which was then applied to calculating Grey WF for the production activities in the plant, referred to here as WFrt. A traditional offline COD measurement method was also utilised for the Grey WF calculation, to act as the reference method, referred to here as WFtrad. In a method-comparison study (Bland-Altman Plot), the results showed that WFrt detected the order of magnitude variation of WFtrad, and WFtrad was on average between 0.897 and 1.243 times WFrt with no systematic bias. This indicates that WFrt may be used for both short-time frame (minutes to hours) WF monitoring and long-term (weeks to months) analysis of trends and the effect of WF optimisation strategies. 

Funding

EPSRC Centre for Innovative Manufacturing in Food

Engineering and Physical Sciences Research Council

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History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Water Resources and Industry

Volume

30

Issue

2023

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2023-06-02

Publication date

2023-06-10

Copyright date

2023

eISSN

2212-3717

Language

  • en

Depositor

Dr Patrick Webb. Deposit date: 29 June 2023

Article number

100215

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