Casey, Edward

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Casey, Edward
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Casey, Edward

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  • Publication
    Air quality and MOLAND : description of a methodology to determine emissions output and affected populations
    (University College Dublin. Urban Institute Ireland, 2008)
    Casey, Edward 
    ;
    Twumasi, Bright Osei 
    In recent years, awareness of air quality issues in urban areas has increased significantly. The negative consequences for human health as a result of poor air quality have resulted in numerous laws being enacted both in Ireland and around the world, in an attempt to limit exposure. Within the urban environment, motor vehicles are one of the most significant contributors to pollution. As a result, constant monitoring takes place but little work is done on predicting likely changes in air quality, for better or worse, as a result of changes in landuse or transport. The MOLAND model can provide the basis for an emissions estimation methodology to predict changes in vehicular emissions, and consequently air quality, both now and in the future, enabling policy makers and planners to examine the air quality implications of their decisions.
      359
  • Publication
    Examination of Low-cost Systems for the Determination of Kinematic Driving Cycles and Engine Operating Conditions in Dublin, Ireland
    (SAE International, 2009-11)
    Casey, Edward 
    ;
    Smith, William 
    ;
    Timoney, David 
    With increased numbers of vehicles on Irish roads, there is now a need to be able to scientifically assess the quantity of pollutant material to which populations are exposed. Traditionally, emissions have been determined using kinematic (vehicle speed) data but recent studies have identified that other parameters are of interest. The work in this Paper focuses on the development and testing of a purpose-built software system to extract on-board diagnostic data from a vehicle in order to derive a driving cycle and to use other engine characteristic data to better inform local pollutant and energy consumption models for Dublin. Comparisons with GPS data shows the system to be cost effective (price and computing overhead) and reliable.
      649Scopus© Citations 4