Evaluation of the Influence of 1,4-Dioxane and Exhaust Gas Recirculation on the Performance and Emission Values of a Diesel Engine Fuelled With Low Viscous Biofuel Blend

Author(s):  
Mebin Samuel Panithasan ◽  
Gnanamoorthi Venkadesan

Abstract The world greatly relies on the usage of liquid fuels for its energy needs, especially in the transportation sector, which is very high in developing countries. In countries like India, diesel fuel is mainly used for all its transportation requirements (considering its higher efficiency), leading to higher pollution. Many kinds of research works are conducted to find a replacement for diesel fuel. In which biodiesel is considered to be a potential replacement for diesel. However, the challenges like higher viscosity, lower calorific value, higher NOx emission stands as a huge barrier. To overcome this, this study proposes using a low viscous biofuel, which has a higher calorific value close to diesel. To reduce NOx emission, the exhaust gas recirculation (EGR) technique is used in this study. A single-cylinder, constant speed, water-cooled stationary engine setup is used for this study. 20% of pine oil is blended with diesel, and 10ml of 1,4, dioxane additive is added. These blends are tested in the engine for different load conditions (0, 25, 50, 75 and 100%) with and without 10% EGR. The results showed that pine oil usage negatively affected the performance characters but significantly reduced CO, HC, and Smoke emissions (15.94, 17.04 and 2.47% respectively). The 10ml of 1,4, dioxane further enhanced this reduction (32.61, 28.15 and 4.36% respectively). The 10% EGR usage negatively affected both performance and emission characters, but it reduced NOx emissions significantly (11.53%). This study provides an integrated way to overcome the challenges seen in biodiesel usage with a low viscous biofuel and exhaust gas recirculation technique.

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Saravanan Duraiarasan ◽  
Rasoul Salehi ◽  
Anna Stefanopoulou ◽  
Siddharth Mahesh ◽  
Marc Allain

Abstract Stringent NOX emission norm for heavy duty vehicles motivates the use of predictive models to reduce emissions of diesel engines by coordinating engine parameters and aftertreatment. In this paper, a physics-based control-oriented NOX model is presented to estimate the feedgas NOX for a diesel engine. This cycle-averaged NOX model is able to capture the impact of all major diesel engine control variables including the fuel injection timing, injection pressure, and injection rate, as well as the effect of cylinder charge dilution and intake pressure on the emissions. The impact of the cylinder charge dilution controlled by the engine exhaust gas recirculation (EGR) in the highly diluted diesel engine of this work is modeled using an adiabatic flame temperature predictor. The model structure is developed such that it can be embedded in an engine control unit without any need for an in-cylinder pressure sensor. In addition, details of this physics-based NOX model are presented along with a step-by-step model parameter identification procedure and experimental validation at both steady-state and transient conditions. Over a complete federal test procedure (FTP) cycle, on a cumulative basis the model prediction was more than 93% accurate.


Sign in / Sign up

Export Citation Format

Share Document