Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Data Optimization Technique for NOx Reduction

Author : Divyata Khachane 1 Prof. Ashok Suryawanshi 2 Durvesh Pathak 3

Date of Publication :7th April 2016

Abstract: Exhaust system is one of the important part of engine. Many gases are exhausted from an engine, one of them is NOX which has adverse effects on environment and human health. To reduce these effects government has developed emission regulatory standards (BSIII/ BSIV). According to regulatory standards, exhaust gases must be emitted within a specified range, to fulfil this condition some tools are available in automobile industry for checking and regulating exhaust gas. These tools are generally excel based and lots of manual work has to be done till final result. As well it requires more time to complete whole process. To overcome these disadvantages we have proposed MATLAB tool. Proposed MATLAB tool will filter test cell data and calculate the regression coefficients. These coefficients will be given to Simulink model and response will be observed.

Reference :

  1. 1) Durvesh Pathak, Vishal Halale, “Approach to virtual sensor and its modelling technique”.

    2) Gaurav Bansal, Anup Bandivadekar, “Overview of India’s Emission Control program: Past success and Future prospects” 2013 International Council on Clean Transportation.

    3) R. Praveen and S. Natarajan, “Experimental Study of Selective Catalytic Reduction System On CI Engine Fuelled with Diesel-Ethanol Blend for NOx Reduction with Injection of Urea Solutions” International Journal of Engineering and Technology (IJET), ISSN: 0975-4024 Vol 6 No 2 Apr-May 2014.

    4) “Air pollution control technology: Fact sheet”, EPACICA Fact Sheet.

    5) John A. Stratton, Christopher Rodrigues, I-Jui (Ray) Sung, Li-Wen Chang, Nasser Anssari, Geng (Daniel) Liu, and Wen-mei W. Hwu, “Algorithm and Data Optimization Techniques for Scaling to Massively Threaded Systems ", IEEE 2012.

    6) Kenan Muri, “Modeling of NOx formation in heavy duty engines”, Department of Automatic Control, Lund University, September 2011.

    7) “Internal Combustion Engine Fundamentals”, John B. Heywood.

    8) L. Muzio, R. Smith, D. Shore, G. Quartucy, Q. Qader, “Recent Experiences Tuning SCR Systems”, Fossil Energy Research Corp., 23342C South Pointe, Laguna Hills, CA 92653.


Recent Article