Automation of Large-Scale Gaseous Ozonation: A Case Study of Textile and PPE Decontamination

Emmanuel I. Epelle, Mohammed Yaseen (), Andrew Macfarlane, Michael Cusack, Anthony Burns and Luc Rolland
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Emmanuel I. Epelle: School of Computing, Engineering & Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK
Mohammed Yaseen: School of Computing, Engineering & Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK
Andrew Macfarlane: Advanced Clothing Solutions (ACS), 6 Dovecote Road, Centralpoint Logistics Park, Motherwell ML1 4GP, UK
Michael Cusack: Advanced Clothing Solutions (ACS), 6 Dovecote Road, Centralpoint Logistics Park, Motherwell ML1 4GP, UK
Anthony Burns: Advanced Clothing Solutions (ACS), 6 Dovecote Road, Centralpoint Logistics Park, Motherwell ML1 4GP, UK
Luc Rolland: School of Computing, Engineering & Physical Sciences, University of the West of Scotland, Paisley PA1 2BE, UK

Sustainability, 2023, vol. 15, issue 3, 1-19

Abstract: There is an ever-growing need in several industries to disinfect or sanitise products (i.e., to reduce or eliminate pathogenic microorganisms from their surfaces). Gaseous ozone has been widely applied for this purpose, particularly during the era of the COVID-19 pandemic. However, the large-scale deployment of this technology usually involves a manually-operated chamber, into which articles are loaded and subsequently unloaded after treatment—a batch process. Although the development of large-scale, automated and continuous ozonation equipment has hardly been reported in the literature, this has tremendous potential for industries seeking to decontaminate certain articles/products in a rapid and effective manner. In this paper, an overview of the design and implementation considerations for such an undertaking is evaluated. By presenting a case study for a developed automated system for clothing and personal protective equipment (PPE) disinfection, we provide key data regarding the automation procedure/design’s considerations, risks, material compatibility, safety, sustainability and process economics. Our analysis shows that the transfer time for garments between successive chambers and the agility of the sliding doors are crucial to achieving the desired throughput. The automated system is capable of effectively treating (20 ppm ozone for 4 min) 20,000 garments within an 8-h shift, based on a transfer time of 2 min and a sliding door speed of 0.4 m/s. The flexibility of the system allows for variation in the concentration or exposure time, depending on the contamination level and the consequent decontamination efficiency desired. This flexibility significantly limits the degradation of the material during treatment. A return on investment of 47% is estimated for this novel system.

Keywords: ozone decontamination; automation; throughput enhancement; textiles; PPE (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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