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An Internet of Things approach for water efficiency: a case study of the beverage factory

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posted on 2021-06-29, 09:28 authored by Sandeep Jagtap, George Skouteris, Vilendra Choudhari, Shahin RahimifardShahin Rahimifard, Linh Nguyen Khanh Duong
There is a lack of knowledge among food manufacturers about adopting the Internet of Things (IoT)-based water monitoring system and its ability to support water minimisation activities. It is therefore necessary to investigate the applicability of IoT-based real-time water monitoring systems in a real food manufacturing environment to pursue water-saving opportunities accordingly. This article aims to propose an architecture of an IoT-based water-monitoring system needed for real-time monitoring of water usage, and address any water inefficiencies within food manufacturing. This article looks at a study conducted in a food beverage factory where an IoT-based real-time water monitoring system is implemented to analyse the complete water usage in order to devise solutions and address water overconsumption/wastage during the manufacturing process. The successful implementation of an IoT-based real-time water monitoring system offered the beverage factory a detailed analysis of the water consumption and insights into the water hotspots that needed attention. This action initiated several water-saving project opportunities, which contributed to the improvement of water sustainability and led to an 11% reduction in the beverage factory’s daily water usage.

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

Sustainability

Volume

13

Issue

6

Publisher

MDPI

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

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

Acceptance date

2021-03-12

Publication date

2021-03-18

Copyright date

2021

eISSN

2071-1050

Language

  • en

Depositor

Deposit date: 29 June 2021

Article number

3343

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