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Carbon Footprint Modeling of a Clinical Lab

Author

Listed:
  • Kai Ni

    (Department of Electrical Engineering and Electronics, University of Liverpool, L69 3GJ Liverpool, UK)

  • Yihua Hu

    (Department of Electrical Engineering and Electronics, University of Liverpool, L69 3GJ Liverpool, UK)

  • Xianming Ye

    (Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0084, South Africa)

  • Hamzah S AlZubi

    (Department of Electrical Engineering and Electronics, University of Liverpool, L69 3GJ Liverpool, UK
    CSols Ltd., The Health, WA7 4QX Runcorn, Cheshire, UK)

  • Phil Goddard

    (CSols Ltd., The Health, WA7 4QX Runcorn, Cheshire, UK)

  • Mohammed Alkahtani

    (Department of Electrical Engineering and Electronics, University of Liverpool, L69 3GJ Liverpool, UK)

Abstract

Modeling of a clinical lab carbon footprint is performed in this study from the aspects of electricity, water, gas consumption and waste production from lab instruments. These environmental impact indicators can be expressed in the form of the CO 2 equivalent. For each type of clinical test, the corresponding consumption of energy resources and the production of plastics and papers are taken into consideration. In addition, the basic lab infrastructures such as heating, ventilation, air-conditioning (HVAC) systems, lights, and computers also contribute to the environmental impact. Human comfort is to be taken into account when optimizing the operation of lab instruments, and is related to the operation of HVAC and lighting systems. The detailed modeling takes into consideration the types of clinical tests, operating times, and instrument specifications. Two ways of disposing waste are classified. Moreover, the indoor environment is modeled. A case study of the Biochrom 30+ amino acid analyzer physiological system in Alder Hey Children’s Hospital is carried out, and the methods of mitigating the overall environmental impacts are discussed. Furthermore, the influence of climate on the results is investigated by using the climate data in Liverpool and Athens in October.

Suggested Citation

  • Kai Ni & Yihua Hu & Xianming Ye & Hamzah S AlZubi & Phil Goddard & Mohammed Alkahtani, 2018. "Carbon Footprint Modeling of a Clinical Lab," Energies, MDPI, vol. 11(11), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3105-:d:181844
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    References listed on IDEAS

    as
    1. Oldewurtel, Frauke & Sturzenegger, David & Morari, Manfred, 2013. "Importance of occupancy information for building climate control," Applied Energy, Elsevier, vol. 101(C), pages 521-532.
    2. Jia, Hongyuan & Pang, Xiufeng & Haves, Philip, 2018. "Experimentally-determined characteristics of radiant systems for office buildings," Applied Energy, Elsevier, vol. 221(C), pages 41-54.
    3. Afroz, Zakia & Shafiullah, GM & Urmee, Tania & Higgins, Gary, 2018. "Modeling techniques used in building HVAC control systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 64-84.
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    Cited by:

    1. Margherita Palmieri & Bruno Lasserre & Davide Marino & Luca Quaranta & Maxence Raffi & Giancarlo Ranalli, 2023. "The Environmental Footprint of Scientific Research: Proposals and Actions to Increase Sustainability and Traceability," Sustainability, MDPI, vol. 15(7), pages 1-14, March.

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