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The performance of a soft ionization mass spectrometer (MS) has been investigated using nearly one hundred hydrocarbon components and nine inorganic components. Based on a list of typical hydrocarbon emissions from automotive exhaust, synthesized samples have been used to discuss the cross-sensitivity of the target components. The system has been shown to measure hazardous air pollutants (HAPs) such as 1,3-butadiene, benzene and toluene in the vehicle exhaust. As a result, the technique will prove to be very useful in emissions monitoring in the development of low emissions vehicles.

With the need for emission measurements of super ultra low emission vehicles (SULEV), analyzer manufacturers have been required to produce more precise and accurate analyzers. In order to compare analyzers, the customer must understand the different specifications used by the analyzer manufacturers. One specification that some manufacturers have used is the limit of detection (LOD) to indicate the reliability of the analyzer output at low concentrations. There are various methods for determining the LOD for a given analyzer. The authors will demonstrate how variations in methodology can produce different LOD values for a specific analyzer and what it means for the automotive emission analyzers. It is also demonstrated that the standard deviations of a zero signal, which is related to LOD, can be heavily influenced by data processing, such as data length in use and/or data smoothing. The LOD values obtained will be compared to the limit of quantification (LOQ) for that analyzer.

The accuracy and precision of exhaust gas mass emission measurement has recently come under close scrutiny as the absolute mass emission level has become lower. The uncertainty of the mass emission measurement can not be defined simply as it is a combination of many parameters in the measurement system. This paper lists and reviews the major factors that affect the accuracy in super-low emission measurement when using a constant volume sampler (CVS), such as analyzer performance, HC contamination, excessive dilution of sample gases, error in DF calculations and the variation of vehicle emission itself. Additionally, an alternative sampling system, using the bag mini-diluter (BMD) technique, is investigated in comparison with the enhanced CVS system, i.e. use of dilution air refiner, and heating of the whole system. Some ideas for reducing the HC contamination are also described as it is an important parameter that affects measurement accuracy in both the CVS and BMD systems.

Two new techniques have been applied to FTIR emission analysis which add significant potential to automotive emission measurement. One of these is the use of the mathematical multivariate analysis which is called the partial least squares method. This spectrum discrimination technique, in combination with high resolution spectrum data, enables superior analysis for heavy-overlapping species in the emission. The other technique is a flow conditioned gas sampling cell which is designed especially for real time emission measurement. The flow in the gas cell has been analyzed with computer simulation and the gas cell has a flow conditioner inside with a 10 meter optical path. Seven seconds of 90 percent gas replacement time can be achieved with this cell. As a result, highly accurate realtime data can be obtained with relatively fast response. In this paper, spectrum factors extracted from overlapping species and quantification simulations are shown using standard gases.

The European Union has announced the next term emission regulations for light-duty vehicles which include particle number (PN) emission standards. The protocol for PN counting for the regulation is described in UNECE Regulation No.83. The PN counting system required for this regulation should consist of a Volatile Particle Remover (VPR) and a Condensation Particle Counter (CPC). The regulation also requires calibration of the VPR's Particle Concentration Reduction Factor (PCRF) periodically. Since the PCRF is directly used in the calculation of PN emission, an improper calibration of the factor can cause a significant error of PN emission result. This paper investigates propriety to use NaCl particles generated by atomizing method in the PCRF calibration as reference particles. As a result, it is shown that the NaCl particles can be used in PCRF calibration because of the sufficient stability when appropriate thermal treatment is applied.

Investigation of operating parameters have been carried out for an FTIR system dedicated for emission analysis. Discussions are focused on the key parameters, such as spectral resolution, gas cell dimensions, quantification algorithm, and sample gas treatment. The spectral resolution has to be determined so that the scan rate is high enough to make transient analysis, the minimum detection limit is low enough to carry out high sensitivity measurement, and no cross sensitivity can be recognized. A trade-off relationship between the response and the sensitivity exists for the gas cell design. Small volume of the cell is desirable when gas replacement is considered. On the other hand, the sensitivity can be increased by enlarging the cell volume to obtain long optical path. Both quantification algorithm and the sample gas treatment have to be well arranged to obtain accurate concentration values of the gas compounds sampled from the tailpipe.

Numerical models of three kinds of mass emission measurement systems, i.e. the constant volume sampler (CVS) system, the mini-diluter system and the direct modal-mass measurement system have been built on PC using a software called Mathematica®. The models are capable of simulating gas compounds concentration in the CVS bags and mass emitted during a test, using the time trend exhaust emission patterns, the exhaust gas flow rate pattern, and initial setting values like dilution ratio. Major error factors in the measurement systems, such as H2O condensation, gas compounds present in ambient air, delay and smoothing of the gas stream, and performance of the analyzers, can also be introduced to the calculation. Using the models, various techniques to optimize the sampling system are quantitatively compared.

Behavior of particle emission from small non-road engines is still unknown which may have some unavoidable health risk. Investigation of particle emission from small non-road engine has made the main objective in this study. For this purpose a particle counting system has been developed according to the PMP protocol. The investigation was limited to only number counting of solid and volatile particle emission from a small diesel powered electric generator set. Especially the relative emission of solid and volatile particles for different load conditions has been investigated. Measurement was attempted by controlling the dilution air temperature and temperature of an evaporation unit installed inside the particle counting system. It was found that the small diesel engine used in the generator set emits huge number of volatile particles depending on operating condition.