Optimization of Operating Factors and Blending Levels of Diesel, Algae Methyl Ester, Graphene Oxide and Producer Gases - Calorific Values Using Response Surface Methodology in HCCI Engine
International Journal of Mechanical Engineering |
© 2024 by SSRG - IJME Journal |
Volume 11 Issue 1 |
Year of Publication : 2024 |
Authors : M. Prabhahar, S. Prakash, S. Nallusamy, S. Ponnarasu, Yeddula Deekeshwar Reddy |
How to Cite?
M. Prabhahar, S. Prakash, S. Nallusamy, S. Ponnarasu, Yeddula Deekeshwar Reddy, "Optimization of Operating Factors and Blending Levels of Diesel, Algae Methyl Ester, Graphene Oxide and Producer Gases - Calorific Values Using Response Surface Methodology in HCCI Engine," SSRG International Journal of Mechanical Engineering, vol. 11, no. 1, pp. 1-15, 2024. Crossref, https://doi.org/10.14445/23488360/IJME-V11I1P101
Abstract:
An experimental investigation was conducted in this study to assess the effects of adding different levels of Graphene Oxide (GO) 25, 50, and 75 ppm on engine parameters in an HCCI engine operating with a blend of 20, 40, and 60% Algae Methyl Ester (AME). The quality of PG is critical for running power generation engines at the desired performance level. A mathematical analysis was performed on a Homogeneous-Charge Compression Ignition (HCCI) diesel engine for CV of PG from 10, 20, and 30 MJ/Nm3 of coconut shell, which was included in this study. Following that, an optimization using Response Surface Methodology (RSM) was performed to establish the optimal working conditions at various engine loads. According to the results of the experiments, GO additives are an excellent addition to diesel-AME blends to improve performance as well as decrease emissions. The model predicted the best result with predicted and actual graphs, with the lower BTE being 20.25%. The higher BTE is 26%, the lower BSFC is 1.69 kg/kWh, the higher BSFC is 2.46 kg/kWh, and the lower CO content of the exhaust is 0.04 vol%. The higher CO content is 0.22 vol%, the lower HC emission is 18.82 ppm, the higher HC emission is 30.3 ppm, and the lower NoX emission is 201 ppm. In contrast, the more significant NoX emission is 301 ppm; lower smoke emissions are reported at 21.01%, whereas higher smoke emissions are reported at 35.4%. According to the study’s findings, it is possible to conclude that the RSM model may effectively model an HCCI diesel engine, saving time and money.
Keywords:
Diesel engine, HCCI, Algae Methyl Ester, Emission, Optimization.
References:
[1] Frederica Perera, “Pollution from Fossil-Fuel Combustion is the Leading Environmental Threat to Global Pediatric Health and Equity: Solutions Exist,” International Journal of Environmental Research and Public Health, vol. 15, no. 1, pp. 1-17, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Suleyman Simsek, Samet Uslu, and Hatice Simsek, “Response Surface Methodology-Based Parameter Optimization of Single-Cylinder Diesel Engine Fueled with Graphene Oxide Dosed Sesame Oil/Diesel Fuel Blend,” Energy and AI, vol. 10, pp. 1-10, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Golmohammad Khoobbakht et al., “Optimization of Operating Factors and Blended Levels of Diesel, Biodiesel and Ethanol Fuels to Minimize Exhaust Emissions of Diesel Engine Using Response Surface Methodology,” Applied Thermal Engineering, vol. 99, pp. 1006- 1017, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[4] G. Arun Prasad et al., “Response Surface Methodology to Predict the Performance and Emission Characteristics of Gas-Diesel Engine Working on Producer Gases of Non-Uniform Calorific Values,” Energy, vol. 234, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Mathad R. Indudhar et al., “Optimization of Piston Grooves, Bridges on Cylinder Head, and Inlet Valve Masking of Home-Fueled Diesel Engine by Response Surface Methodology,” Sustainability, vol. 13, no. 20, pp. 1-28, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Hagar Alm ElDin Bastawissi et al., “Optimization of the Multi-Carburant Dose as an Energy Source for the Application of the HCCI Engine,” Fuel, vol. 253, pp. 15-24, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Harisankar Bendu, B.B.V.L. Deepak, and S. Murugan, “Multi-Objective Optimization of Ethanol Fuelled HCCI Engine Performance Using Hybrid GRNN–PSO,” Applied Energy, vol. 187, pp. 601-611, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Ganesh R. Gawale, and G. Naga Srinivasulu, “Experimental Investigation of Propanol Dual Fuel HCCI Engine Performance: Optimization of Propanol Mass Flow Rate, Impact of Butanol Blends (B10/B20/B30) as Fuel Substitute for Diesel,” Fuel, vol. 279, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Natarianto Indrawan et al., “Distributed Power Generation via Gasification of Biomass and Municipal Solid Waste: A Review,” Journal of the Energy Institute, vol. 93, no. 6, pp. 2293-2313, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Alpaslan Atmanli, Erol Ileri, and Nadir Yilmaz, “Optimization of Diesel–Butanol–Vegetable Oil Blend Ratios Based on Engine Operating Parameters,” Energy, vol. 96, pp. 569-580, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[11] A.E. Dhole et al., “Mathematical Modeling for the Performance and Emission Parameters of Dual-Fuel Diesel Engine Using Producer Gas as Secondary Fuel,” Biomass Conversion and Biorefinery, vol. 5, pp. 257-270, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[12] D.A. Baiseitov et al., “Research of the Combustion of Gas-Generating Compositions with Additives of Carbon Powders,” Materials Today: Proceedings, vol. 33, no. 1, pp. 1216-1220, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Cihan Bayindirli, Mehmet Celik, and Recep Zan, “Optimizing the Thermophysical Properties and Combustion Performance of Biodiesel by Graphite and Reduced Graphene Oxide Nanoparticle Fuel Additive,” Engineering Science and Technology, An International Journal, vol. 37, pp. 1-12, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Jiangjun Wei et al., “Comparison in the Effects of Alumina, Ceria and Silica Nanoparticle Additives on the Combustion and Emission Characteristics of A Modern Methanol-Diesel Dual-Fuel CI Engine,” Energy Conversion and Management, vol. 238, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Jong Boon Ooi et al., “Graphite Oxide Nanoparticle as A Diesel Fuel Additive for Cleaner Emissions and Lower Fuel Consumption,” Energy & Fuels, vol. 30, no. 2, pp. 1341-1353, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[16] José Goldemberg, and Suani Teixeira Coelho, “Renewable Energy-Traditional Biomass vs. Modern Biomass,” Energy Policy, vol. 32, no. 6, pp. 711-714, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Yashvir Singh et al., “Optimization of Diesel Engine Performance and Emission Parameters Employing Cassia Tora Methyl Esters-Response Surface Methodology Approach,” Energy, vol. 168, pp. 909-918, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] K. Prasada Rao, and B.V. Appa Rao, “Parametric Optimization for Performance and Emissions of An IDI Engine with Mahua Biodiesel,” Egyptian Journal of Petroleum, vol. 26, no. 3, pp. 733-743, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Adnan Berber, “Mathematical Model for Fuel Flow Performance of Diesel Engine,” International Journal of Automotive Engineering and Technologies, vol. 5, no. 1, pp. 17-24, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[20] G. Najafi, “Diesel Engine Combustion Characteristics Using Nano-Particles in Biodiesel-Diesel Blends,” Fuel, vol. 212, pp. 668-678, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Mostafa Esmaeili Shayan, Gholamhassan Najafi, and Giulio Lorenzini, “Optimization of A Dual Fuel Engine Based on Multi-Criteria Decision-Making Methods,” Thermal Science and Engineering Progress, vol. 44, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Shim Euijoon et al., “Comparisons of Advanced Combustion Technologies (HCCI, PCCI, and Dual-Fuel PCCI) on Engine Performance and Emission Characteristics in A Heavy-Duty Diesel Engine,” Fuel, vol. 262, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Ashish Nayyar et al., “Characterization of n-Butanol Diesel Blends on A Small Size Variable Compression Ratio Diesel Engine: Modeling and Experimental Investigation,” Energy Conversion and Management, vol. 150, pp. 242-258, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[24] A. Pandal et al., “Optimization of Spray Break-Up CFD Simulations by Combining Σ-Y Eulerian Atomization Model with A Response Surface Methodology under Diesel Engine-Like Conditions (ECN Spray A),” Computers & Fluids, vol. 156, pp. 9-20, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Takashi Kaminaga et al., “A Study on Combustion Characteristics of A High Compression Ratio SI Engine with High Pressure Gasoline Injection,” 14th International Conference on Engines & Vehicles, United States, pp. 1-22, 2019.
[CrossRef] [Google Scholar] [Publisher Link]