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Technical Paper

Investigations of Emission Reduction Potential of Diesel-Methanol Blends in a Heavy-Duty Genset Engine

2021-09-22
2021-26-0104
One of the most promising fuel alternatives for Diesel is Methanol. The fuel is regarded advantageous owing to the easy availability of raw materials for its production, its low cost and high Oxygen content that has potential to reduce emissions of smoke, CO and PM. Methanol as a fuel blend with Diesel is non-viable as they are not readily miscible with each other. This paper expounds the engine performance and emission evaluation of blending Methanol with Diesel by using two methods that aid in overcoming phase separation. The experiments were performed in two stages. In the first stage, investigation of phase stabilization of Methanol in Diesel with suitable additive concentration was performed. This was performed to determine the optimum additive and its concentration for a Methanol share of up to 25% in Diesel-Methanol blends for a stabilization period of 30 days.
Technical Paper

NOx Model Calibration for BS VI Applications

2019-01-09
2019-26-0050
Challenging limits for NOx in BS VI emission legislation demand high performance conversion techniques. Exhaust after treatment systems such as Lean NOx Trap and selective catalytic reduction can provide effective reduction of Engine out NOx emissions. From the moment of engine start, these systems require reliable signal input of the NOx sensor. The efficient use of such DeNOx systems demands earliest possible activation of the upstream NOx sensor. However, attainment of the sensor dew point delays reliable measurements. Data collected from the emission test cycles, WLTC and NEDC indicates the unavailability of NOx sensor from the beginning of the test cycle. Hence, requirement of a NOx model is inevitable to estimate NOx emissions till sensor reaches its dew point. The scope of this paper is to elucidate the calibration process through which a robust estimation of the NOx emissions can be made in different engine modes along with varying ambient conditions.
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