An Exhaust Gas Analysis from Two-Wheeler: A Review

Shrikant Murlidhar Bante
Volume 7: Issue 4, Dec 2020, pp 114-122


Author's Information
Shrikant Murlidhar Bante1 
Corresponding Author
1Lecturer, Mechanical Engineering Department, Government Polytechnic, Sakoli, India
shrikant.bante769@gmail.com


Review Article -- Peer Reviewed
Published online – 25 December 2020

Open Access article under Creative Commons License

Cite this article – Shrikant Murlidhar Bante “An Exhaust Gas Analysis from Two-Wheeler: A Review”, International Journal of Analytical, Experimental and Finite Element Analysis, RAME Publishers, vol. 7, issue 4, pp. 114-122, Dec 2020.
https://doi.org/10.26706/ijaefea.4.7.20200810


Abstract:-
Urban air pollution from transportation, especially two-wheelers, is a growing concern in metropolitan areas of developing countries such as India. This review, titled An Exhaust Gas Analysis from Two-Wheeler: A Review, synthesizes recent literature on emission measurement techniques, advances in internal combustion engine exhaust gas analyzers, and the role of alternative fuels. It examines conventional and modern emission-measuring devices, including wireless sensor implementations and Internet of Things enabled systems that provide real-time remote monitoring. The review also surveys studies on biodiesel and ethanol blends in two-wheeler engines, assessing their impacts on regulated pollutants and overall exhaust characteristics. Comparative analysis highlights strengths and limitations of existing instruments and identifies gaps where newer sensing technologies and data-access methods can improve accuracy and accessibility. Based on the literature synthesis, the paper defines clear objectives for future research: standardizing measurement protocols, integrating low-cost IoT sensors for urban monitoring, and evaluating biofuel strategies to reduce emissions. The review aims to guide researchers and policymakers toward effective mitigation of transport-related air pollution.
Index Terms:-
Gas Analysis, Carbon Mono-oxide Carbon-Dioxide, Hydrocarbon
REFERENCES
  1. P. Trefz et al., “Continuous real time breath gas monitoring in the clinical environment by proton-transfer-reaction-time-of-flight-mass spectrometry,” Anal. Chem., vol. 85, no. 21, pp. 10321–10329, 2013.
  2. D. J. Butcher, “The real-time analysis of gases by direct sampling–mass spectrometry: elemental and molecular applications,” Microchem. J., vol. 66, no. 1–3, pp. 55–72, 2000.
  3. A. J. Ward et al., “Real time monitoring of a biogas digester with gas chromatography, near-infrared spectroscopy, and membrane-inlet mass spectrometry,” Bioresour. Technol., vol. 102, no. 5, pp. 4098–4103, 2011.
  4. R. S. Pilling et al., “Quantifying gas sensor and delivery system response time using GC/MS,” Sensors Actuators B Chem., vol. 96, no. 1–2, pp. 200–214, 2003.
  5. H. Kopetz, Real-time systems: design principles for distributed embedded applications. Springer, 1997.
  6. M. Kumar et al., “Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues,” 2023. doi:10.3390/electronics12092050.
  7. R. Kitchin, “The real-time city? Big data and smart urbanism,” GeoJournal, vol. 79, no. 1, pp. 1–14, 2014.
  8. M. Vajedi, A. Taghavipour, N. L. Azad, and J. McPhee, “A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles,” in 2014 American Control Conference, IEEE, 2014, pp. 2612–2617.
  9. S. C. Terry, J. H. Jerman, and J. B. Angell, “A gas chromatographic air analyzer fabricated on a silicon wafer,” IEEE Trans. Electron Devices, vol. 26, no. 12, pp. 1880–1886, 1979.
  10. A. Momenimovahed et al., “Real-time driving cycle measurements of ultrafine particle emissions from two wheelers and comparison with passenger cars,” Int. J. Automot. Technol., vol. 15, no. 7, pp. 1053–1061, 2014.
  11. K. B. Ariyur and M. Krstic, Real-time optimization by extremum-seeking control. John Wiley & Sons, 2003.
  12. G. C. Walsh, H. Ye, and L. G. Bushnell, “Stability analysis of networked control systems,” IEEE Trans. Control Syst. Technol., vol. 10, no. 3, pp. 438–446, 2002.
  13. A. Fuentes, S. Yoon, S. C. Kim, and D. S. Park, “A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition,” Sensors, vol. 17, no. 9, p. 2022, 2017.
  14. J. Fouletier, “Gas analysis with potentiometric sensors. A review,” Sensors and Actuators, vol. 3, pp. 295–314, 1982.
  15. A.-M. Vasic and M. Weilenmann, “Comparison of real-world emissions from two-wheelers and passenger cars,” Environ. Sci. Technol., vol. 40, no. 1, pp. 149–154, 2006.
  16. R. Jaikumar, S. M. S. Nagendra, and R. Sivanandan, “Modal analysis of real-time, real world vehicular exhaust emissions under heterogeneous traffic conditions,” Transp. Res. Part D Transp. Environ., vol. 54, pp. 397–409, 2017.
  17. L. Ntziachristos et al., “Emission control options for power two wheelers in Europe,” Atmos. Environ., vol. 40, no. 24, pp. 4547–4561, 2006.
  18. A. K. Agarwal et al., “An evaluation of the emission profile for two-wheelers at a traffic junction,” Particuology, vol. 18, pp. 112–119, 2015.
  19. B. Sakthivel, R. Sridhar, S. Ansh, B. Srinivasan, and J. S. Kumar, “Development of cost effective smart engine management system for two wheeler application,” SAE Int. J. Engines, vol. 10, no. 2017-26–0138, pp. 95–103, 2017.
  20. X. Chang et al., “Estimating real-time traffic carbon dioxide emissions based on intelligent transportation system technologies,” IEEE Trans. Intell. Transp. Syst., vol. 14, no. 1, pp. 469–479, 2012.
  21. S. Mahesh, G. Ramadurai, and S. M. S. Nagendra, “Real-world emissions of gaseous pollutants from diesel passenger cars using portable emission measurement systems,” Sustain. Cities Soc., vol. 41, pp. 104–113, 2018.
  22. G. Habib et al., “On-road emissions of CO, CO₂ and NOx from four wheeler and emission estimates for Delhi,” J. Environ. Sci., vol. 53, pp. 39–47, 2017.
  23. A. Choudhary and S. Gokhale, “Urban real-world driving traffic emissions during interruption and congestion,” Transp. Res. Part D Transp. Environ., vol. 43, pp. 59–70, 2016.
  24. K. Maurya, M. Singh, and N. Jain, “Real time vehicle tracking system using GSM and GPS technology-an anti-theft tracking system,” Int. J. Electron. Comput. Sci. Eng., vol. 1, no. 3, pp. 1103–1107, 2012.
  25. L. M. Bergasa et al., “Real-time system for monitoring driver vigilance,” IEEE Trans. Intell. Transp. Syst., vol. 7, no. 1, pp. 63–77, 2006.
  26. M. Barth and K. Boriboonsomsin, “Energy and emissions impacts of a freeway-based dynamic eco-driving system,” Transp. Res. Part D Transp. Environ., vol. 14, no. 6, pp. 400–410, 2009.
  27. J. Tang et al., “Carbon nanodots featuring efficient FRET for real‐time monitoring of drug delivery and two‐photon imaging,” Adv. Mater., vol. 25, no. 45, pp. 6569–6574, 2013.
  28. P. Vasa et al., “Real-time observation of ultrafast Rabi oscillations between excitons and plasmons in metal nanostructures with J-aggregates,” Nat. Photonics, vol. 7, no. 2, pp. 128–132, 2013.
  29. T. Logenthiran et al., “Multiagent system for real-time operation of a microgrid in real-time digital simulator,” IEEE Trans. Smart Grid, vol. 3, no. 2, pp. 925–933, 2012.
  30. J. Teizer et al., “Autonomous pro-active real-time construction worker and equipment operator proximity safety alert system,” Autom. Constr., vol. 19, no. 5, pp. 630–640, 2010.
  31. H. Kuhns et al., “Testing re-entrained aerosol kinetic emissions from roads: A new approach to infer silt loading on roadways,” Atmos. Environ., vol. 35, no. 16, pp. 2815–2825, 2001.
  32. M.-J. E. Salami, I. B. Tijani, and A. U. Jibia, “Development of real-time software interface for multicomponent transient signal analysis using Labview and Matlab,” in Proc. 4th Int. Conf. Mechatronics (ICOM), IEEE, 2011, pp. 1–5.

To view full paper, Download here .


To View Full Paper

Publishing with