Ambulance Interior Flow Visualisation for COVID19 Active Virus Filtration

  • Funded by Royal Academy of Engineering (RAENG)
  • Total publications:0 publications

Grant number: unknown

Grant search

Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2020
  • Known Financial Commitments (USD)

    $25,625.16
  • Funder

    Royal Academy of Engineering (RAENG)
  • Principal Investigator

    Helen Valerie Atkinson
  • Research Location

    United Kingdom
  • Lead Research Institution

    Cranfield University
  • Research Priority Alignment

    N/A
  • Research Category

    Infection prevention and control

  • Research Subcategory

    Barriers, PPE, environmental, animal and vector control measures

  • Special Interest Tags

    Innovation

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Adults (18 and older)

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

This team will complete flow visualisation in the interior of an NHS ambulance. This flow data will allow the integration of an active virus filter (AVF) system. Application of the AVF system in ambulances will significantly improve the safety of NHS ambulance crews who are exposed to high levels of COVID19 aerosols in their vehicles. These virus aerosol levels are at their highest, whilst transporting patients infected with COVID19. The AVF system, TorStran(TM), developed by an SME Q-Flo Ltd, captures individual virus molecules contained in airborne droplets. As the filter material is built from carbon fibre nanotechnology, the filter can also be actively heated with a low power electrical source, to kill any active virus trapped in the filter material and regenerate the filter. This offers a significant advantage over existing high efficiency particulate air (HEPA) filters, with high filtration efficiencies of over 99.997% and virus elimination. Cranfield University, working with Q-Flo, Cambridge University and NHS England, will record experimental flow visualisation data from a modern NHS ambulance under different driving conditions, to allow future effective integration of the filtration units. Installation of these units in the current COVID19 outbreak, will significantly improve the safety of NHS ambulance crews.