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An Artificial Intelligence Empowered Cyber Physical Ecosystem for Energy Efficiency and Occupation Health and Safety

Author

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  • Petros Koutroumpinas

    (Faculty of Engineering, Monash University, Melbourne, VIC 3800, Australia)

  • Yu Zhang

    (School of Business, University of New South Wales, Canberra, ACT 2612, Australia)

  • Steve Wallis

    (Fleetwood Corporation Limited, Perth, WA 6004, Australia)

  • Elizabeth Chang

    (School of Business, University of New South Wales, Canberra, ACT 2612, Australia)

Abstract

Reducing energy waste is one of the primary concerns facing Remote Industrial Plants (RIP) and, in particular, the accommodations and operational plants located in remote areas. With the COVID-19 pandemic continuing to attack the health of workforce, managing the balance between energy efficiency and Occupation Health and Safety (OHS) in the workplace becomes another great challenge for the RIP. Maintaining this balance is difficult mainly because a full awareness of the OHS will generally consume more energy while reducing the energy cost may lead to a less effective OHS, and the existing literature has not seen a system that is designed for the RIPs to conserve energy usage and improve workforce OHS simultaneously. To bridge this gap, in this paper, we propose an AI Empowered Cyber Physical Ecosystem (AECPE) solution for the RIPs, which integrates Cyber-Physical Systems (CPS), artificial intelligence, and mobile networks. The preliminary results of lab experiments and field tests proved that the AECPE was able to help industries reduce the corporate annual energy cost that is worth millions of dollars, optimise the environmental conditions, and improve OHS for all workers and stakeholders. The implementation of the AECPE can result in efficient energy usage, reduced wastage and emissions, environment-friendly operations, and improved social reputation of the industries.

Suggested Citation

  • Petros Koutroumpinas & Yu Zhang & Steve Wallis & Elizabeth Chang, 2021. "An Artificial Intelligence Empowered Cyber Physical Ecosystem for Energy Efficiency and Occupation Health and Safety," Energies, MDPI, vol. 14(14), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4214-:d:593018
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    References listed on IDEAS

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    1. Binder, Jj, 1985. "On The Use Of The Multivariate Regression-Model In Event Studies," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 370-383.
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    1. Sławomira Kamińska-Berezowska & Małgorzata Suchacka, 2022. "Safety and Work Organization Management in the Early Days of the COVID-19 Pandemic in the Lignite Mining and Energy Sector in Poland," Energies, MDPI, vol. 15(12), pages 1-14, June.

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