Sentence examples for emission predictions from inspiring English sources
The agreement with the experimental data increases with increased fidelity of the reaction mechanism, and the skeletal reaction mechanism provides a more realistic basis for e.g. emission predictions.
The major flue gas concentrations were quite well described, however, CO emission predictions were only qualitatively following the measured trends when O2 is available and severely under-predicted under substoichiometric conditions.
To verify the feasibility of CFD for dust emission prediction, a two-phase three-dimensional Euler Euler model was adopted to qualitatively predict the performance of six transfer chute configurations with respect to dust generation.
Gas emission prediction is very important to gas drainage, controlling and utilization.
Many gas emission prediction methods have been proposed; however, there currently is no widely used method because of accuracy issues.
The comparison of experimental data with model results shows tight agreement in both performance and emission prediction capabilities.
A dynamic gas emission prediction model is established in this paper, and the influential parameters of gas emission are considered comprehensively.
Given the increasingly stringent emission regulations, an accurate model of emission prediction is required for the aftertreatment systems of diesel engines.
The values from the dynamic and normal gas emission prediction models are compared with and without prevention measures and at various driving speeds.
A factorial experiment on a test bed prototype of the I-4 urban limited access highway corridor located in Orlando, Florida was conducted to identify the optimal settings for CO2 emissions reduction and to develop a microscopic transportation emission prediction model.
The results suggest variability and limitations associated with the present traditional approaches to gas emission prediction and design of gas management practices may be addressed using predictions derived from improved spatial datasets, and analysis techniques incorporating fundamental physical and energy related principles.
