Performance and Emission Analysis of Ethanol-Petrol Blends in Single-Cylinder Engines: A Sustainability Perspective
DOI:
https://doi.org/10.70112/arme-2024.13.1.4248Keywords:
Optimization, Petrol, Ethanol, Grey Relation Analysis, Engine PerformanceAbstract
This study investigates the blending of ethanol and petrol in the Indian subcontinent, addressing the urgent need for sustainable fuel alternatives amid rising energy demands and environmental concerns. Ethanol, as a renewable biofuel, presents a viable option for enhancing the efficiency of internal combustion engines while reducing harmful emissions. Given the significant air pollution issues prevalent in urban areas of India, optimizing fuel blends can substantially improve engine performance and contribute to cleaner air. The primary objectives of this research include analyzing the impact of different ethanol-petrol blends on the performance of a single-cylinder petrol engine, assessing key performance metrics such as brake power, Indicated Mean Effective Pressure (IMEP), Brake Mean Effective Pressure (BMEP), and Brake Thermal Efficiency (BTHE). Emission analysis was conducted to measure hydrocarbons (HC), carbon monoxide (CO), carbon dioxide (CO₂), oxygen (O₂), and nitrogen oxides (NOₓ) across various blends, quantifying the environmental impact of each. Grey Relation Analysis (GRA) was employed to rank the fuel blends based on their performance and emissions, helping identify the most effective blend for optimal engine operation. Additionally, the sustainability of ethanol blending as an alternative fuel solution in the Indian automotive sector was assessed. The study recorded key performance indicators and emissions using standardized techniques, with GRA calculating Grey relational coefficients to measure the degree of similarity between observed data and desired outcomes. This approach facilitated the ranking of blends, ultimately identifying the optimal ethanol-petrol blend. The findings revealed significant variations in both performance and emissions across different blends, indicating that ethanol blending holds substantial promise as a sustainable solution for the Indian automotive sector. These insights align with recent studies on the benefits of biofuels in enhancing engine performance and reducing emissions, providing valuable guidance for optimizing ethanol-petrol blends to improve sustainability in energy consumption.
References
V. Srinivasan and P. Sreelakshmi, “Multi-objective optimization of performance and emission characteristics of a single cylinder diesel engine using response surface methodology,” Asian Review of Mechanical Engineering, vol. 6, no. 3, pp. 80-85, 2017.
M. M. Rahman and M. Hossain, “Performance and emission analysis of a single cylinder diesel engine fueled with biodiesel and ethanol blends,” Asian Review of Mechanical Engineering, vol. 8, no. 1,pp. 30-35, 2019.
S. M. Khan and S. Bhatti, “Experimental investigation of performance parameters of single cylinder petrol engine using ethanol blended fuel,” Asian Review of Mechanical Engineering, vol. 9, no. 2, pp. 45-50, 2020.
R. Singh and A. Kumar, “Multi-objective optimization of theperformance characteristics of a single cylinder petrol engine using genetic algorithm,” Asian Review of Mechanical Engineering, vol. 10, no. 1, pp. 15-20, 2021.
D. Patel and A. Yadav, “Investigation on performance and emissions of single-cylinder petrol engine using various biofuels,” Asian Review of Mechanical Engineering, vol. 11, no. 3, pp. 101-106, 2022.
S. M. Khan and S. Bhatti, “Experimental investigation of performance parameters of single cylinder petrol engine using ethanol blended fuel,” Energy Reports, vol. 6, pp. 16-23, 2020.
R. Singh and A. Kumar, “Multi-objective optimization of theperformance characteristics of a single cylinder petrol engine usinggenetic algorithm,” Applied Energy, vol. 262, p. 114367, 2020.
M. M. Rahman and M. Hossain, “Performance and emission analysis of a single cylinder diesel engine fueled with biodiesel and ethanol blends,” Renewable Energy, vol. 133, pp. 223-230, 2019.
D. Patel and A. Yadav, “Investigation on performance and emissions of single-cylinder petrol engine using various biofuels,” Fuel, vol. 305, p. 121474, 2022.
V. Srinivasan and P. Sreelakshmi, “Multi-objective optimization of performance and emission characteristics of a single cylinder diesel engine using response surface methodology,” Energy Procedia, vol. 105, pp. 1180-1185, 2017.
C. A. M. B. S. Rehman, “Multi-objective optimization of fuel properties to enhance engine performance,” SAE Technical Paper no .2021-26-0007, Jan. 2021.
I. A. S. Malik and A. G. J. Hossain, “Modeling and optimization of aspark ignition engine using a hybrid algorithm,” International Journal of Automotive Engineering, vol. 13, no. 2, pp. 113-125, Apr. 2020.
J. L. M. P. Gonzalez, “Performance optimization of SI engines using multi-objective evolutionary algorithms,” Energy Conversion and Management, vol. 162, pp. 1-10, Sep. 2018.
P. V. R. K. Reddy, “Effect of fuel properties on performance optimization of spark ignition engines,” Fuel Processing Technology, vol. 204, pp. 114-123, Mar. 2020.
R. H. R. S. Hu and A. T. Y. Lau, “Multi-objective optimization of engine performance using evolutionary algorithms,” Applied Thermal Engineering, vol. 156, pp. 200-210, Dec. 2019.
K. V. P. Balaji, “Modeling and optimization of air-fuel ratio for improved efficiency in SI engines,” Journal of Mechanical Science and Technology, vol. 33, no. 5, pp. 2061-2069, May 2019.
M. S. Abhay and T. V. Kumar, “Multi-criteria decision-making for engine optimization,” Journal of Cleaner Production, vol. 239, p. 118064, Apr. 2019.
S. V. M. A. K. Verma, “Investigation of performance parameters of asingle-cylinder engine using biofuel blends,” Renewable Energy, vol. 143, pp. 1095-1104, Jun. 2019.
A. J. T. Y. Chen, “Hybrid optimization techniques for improving engine performance,” Energy, vol. 165, pp. 294-302, Jan. 2018.
V. R. H. M. A. D. Agrawal, “A review of multi-objective optimization techniques in automotive applications,” Journal of Automotive Engineering, vol. 232, no. 4, pp. 451-469, Apr. 2018.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Centre for Research and Innovation
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
