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The thermal environment in the automotive engine compartment is expected to become increasingly severe in the years ahead owing to the installation of a large-size manifold catalyst to reduce exhaust emissions, among other factors. This will make it even more important to analyze the engine compartment layout in terms of heat flow considerations at the design conceptualization stage of a new vehicle. In this research, a flow analysis program called DRAG4D was applied to find the flow velocity distribution and ambient air temperature distribution in the engine compartment during driving, idling and after the engine was turned off. This original program developed at Nissan takes into account the effects of the energy balance and buoyancy, and provides a practical level of prediction accuracy. The time required to create an analytical model and perform the computations has been shortened by using an automatic grid generation function, based on a solid model, and experimental equations.

The effect of the introduction of low-emission vehicles on potential air quality improvement in the Los Angeles area was predicted using a three-dimensional airshed simulation model. The simulations were based on ozone concentration estimates made on the basis of data released by the California Air Resources Board concerning projected quantities of emissions from various sources in 2010. Analyses were made of three scenarios. One assumed that LEV, ULEV and ZEV regulations were enforced as planned, a second assumed that these planned regulations were modified; and a third assumed that emission levels from various sources were reduced in line with the goals of the Air Quality Management Plan formulated by the South Coast Air Quality Management District.