Most studies reported that smoke opacity and particulate matter (PM) are substantially reduced when using emulsion fuel. The goal of this work was to predict the PM reduction of diesel emulsion fuel by measuring the smoke opacity, which is known to be proportional with PM. The smoke/PM measurements were mostly of the particulate trap type, which is lengthy, arduous and only offers cumulative results. In this study, the smoke opacity was measured in real-time by using a smoke opacimeter to obtain faster, simpler and continuous results. The results were compared to the results of Legal Particulate Sampling (LPS). The types of fuel used in this study were an emulsion fuel denoted as E10 and Malaysian EURO2 diesel (D2M). Even though the PM emission of E10 was 20% lower than D2M, the smoke opacity of E10 was 200% higher. It was concluded that the opacimeter could not be used to predict the PM reduction in emulsified D2M.
The focus of this work is to investigate the emission characteristics of a stationary diesel engine while utilizing an emulsion fuel from a novel preparation process. The emulsion preparation was performed in real time without using any surfactant. Instead of mechanically breaking the water down into droplets, the water is delivered thermally, by changing its phase from gas to liquid. Steam is used in this proposed process, where it will be converted into suspended water droplets once it meets colder diesel. The product is called steam-generated water-in-diesel emulsion fuel (S/D). The method is expected to reduce the moving components of a previous surfactant-less system; therefore, reducing costs and increasing the system reliability. The emission characteristics of S/D were compared with EURO 2 diesel (D2), and a conventional emulsion denoted as E10. E10 was prepared using 10% water (volumetric) and SPAN80 as a surfactant. The emission characterizations were carried out based on the exhaust gas of a single cylinder naturally aspirated CI engine fueled with D2, S/D, and E10. Compared to D2, both emulsions significantly reduced the emissions of nitrogen oxides (NOx) (E10 max ↓58.0%, S/D max ↓40.0%) and particulate matter (PM) (E10 max ↓20.0%, S/D max ↓57.0%).
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