Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM)

Raghavendra Ugraram; R. Meenakshi Reddy; B Chandra Mohana Reddy

doi:10.14744/thermal.0000896

Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM)

Abstract

The interest in research on diesel engine emission reduction is on the rise. A novelistic combustion technique called Oxy-Fuel Combustion (OFC) with 40% of Exhaust Gas Recirculation (EGR) is studied experimentally on a diesel engine at 25% engine load conditions. Although, in OFC nitrogen oxides (NOx) emissions are eliminated and CO, HC emissions are reduced, there is a considerable reduction in Brake Thermal Efficiency (BTE) and increased Brake Specific Fuel Consumption (BSFC) than the Conventional Air Combustion (CAC). In the present study Response Surface Methodology (RSM) Optimization technique is used to optimize the fuel injection parameters of OFC to improve its performance. Start Of Injection (SOI), Duration Of Injection (DOI) and Mass Of Fuel Injected (MFI) are the factorial variables considered for the optimization. To examine the impacts of the selected factorial variables on BTE and BSFC, regression models were formulated and verified to be statistically significant. The Multi-Objective Genetic Algorithm results reveal that the optimum conditions are SOI at 358 CAD, DOI at 15.8 degrees, and MFI at 0.0106 g. The validity of the model was confirmed through the experimental results and demonstrated that the prediction error is below 5%. The experimental results of OFC diesel engine with the optimum conditions indicate that BTE is improved from 14.8 to 24.1% and BSFC reduced from 527.7 to 402.3 g/kW-h. According to the observations of this study, it is concluded that OFC with EGR can be deployed in a diesel engine with no design modifications and the drop in performance in comparison with CAC can be recovered with the RSM optimization.

Keywords

References

[1] Manenti F, Milani M, Montorsi L, Paltrinieri F, Pirola C, Rinaldini CA. Performance and exhaust emissions analysis of a diesel engine using oxygen-enriched air. SAE Tech Pap No. 2018-01-1785. [CrossRef]
[2] Zhang W, Chen Z, Li W, Shu G, Xu B, Shen Y. Influence of EGR and oxygen-enriched air on diesel engine no–smoke emission and combustion characteristic. Appl Energy 107:304–314. [CrossRef]
[3] Wang Y, Feng L, Geng C, Chen B, Liu H, Yao M. Natural flame luminosity and emission spectra of diesel spray flame under oxygen-enriched condition in an optical constant volume vessel. SAE Tech Pap No. 2018-01-1781. [CrossRef]
[4] Hountalas D, Raptotasios S, Zannis T, Papagiannakis R. Phenomenological modelling of oxygen-enriched combustion and pollutant formation in heavy-duty diesel engines using exhaust gas recirculation. SAE Int J Engines 2012;5:1693–1708. [CrossRef]
[5] Zhao C, Wang K, Huang S. Numerical investigation on effects of oxygen-enriched air and intake air humidification on combustion and emission characteristics of marine diesel engine. SAE Tech Pap No. 2018-01-1788. [CrossRef]
[6] Liu CY, Chen G, Sipöcz N, Assadi M, Bai XS. Characteristics of oxy-fuel combustion in gas turbines. Appl Energy 2011;89:387–394. [CrossRef]
[7] Kunze C, Spliethoff H. Assessment of oxy-fuel, pre-and post-combustion-based carbon capture for future IGCC plants. Appl Energy 2012;94:109–116. [CrossRef]
[8] Olumayegun O, Wang M, Kelsall G. Closed-cycle gas turbine for power generation: A state-of-the-art review. Fuel 2016;180:694–717. [CrossRef]

[9] Osman A. Feasibility study of a novel combustion cycle involving oxygen and water. SAE Tech Pap No. 2009-01-2808. [CrossRef]
[10] Kang Z, Chen S, Wu Z, Deng J, Hu Z, Li L. Simulation study of water injection strategy in improving cycle efficiency based on a novel compression ignition oxy-fuel combustion engine. SAE Int J Engines 2018;11:935–946. [CrossRef]
[11] Najafi G, Ghobadian B, Yusaf T, Ardebili SMS, Mamat R. Optimization of performance and exhaust emission parameters of a SI (spark ignition) engine with gasoline–ethanol blended fuels using response surface methodology. Energy 2015;90:1815–1829. [CrossRef]
[12] Jiang M, Zheng Z. Effects of multiple environmental factors on the growth and extracellular organic matter production of Microcystis aeruginosa: a central composite design response surface model. Environ Sci Pollut Res 2018;25:23276–23285. [CrossRef]
[13] Venugopal P, Kasimani R, Chinnasamy S. Prediction and optimization of CI engine performance fuelled with Calophyllum inophyllum diesel blend using response surface methodology (RSM). Environ Sci Pollut Res 2018;25:24829–24844. [CrossRef]
[14] Yusri IM, Majeed AA, Mamat R, Ghazali MF, Awad OI, Azmi WH. A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel. Renew Sustain Energy Rev 2018;90:665–686. [CrossRef]
[15] Montgomery DC. Design and Analysis of Experiments. Hoboken, NJ: John Wiley & Sons; 2017.
[16] Dean A, Voss D. Design and analysis of experiments. New York, NY: Springer New York; 1999. [CrossRef]
[17] Khoobbakht G, Karimi M, Kheiralipour K. Effects of biodiesel-ethanol-diesel blends on the performance indicators of a diesel engine: A study by response surface modeling. Appl Therm Eng 2019;148:1385–1394. [CrossRef]
[18] Ileri E, Karaoglan AD, Atmanli A. Response surface methodology based prediction of engine performance and exhaust emissions of a diesel engine fuelled with canola oil methyl ester. J Renew Sustain Energy 2013;5:4805066. [CrossRef]
[19] Rezaei SZ, Zhang F, Xu H, Ghafourian A, Herreros JM, Shuai S. Investigation of two-stage split-injection strategies for a Dieseline fuelled PPCI engine. Fuel 2013;107:299–308. [CrossRef]
[20] Pandian M, Sivapirakasam SP, Udayakumar M. Investigation on the effect of injection system parameters on performance and emission characteristics of a twin cylinder compression ignition direct injection engine fuelled with pongamia biodiesel–diesel blend using response surface methodology. Appl Energy 2011;88:2663–2676. [CrossRef]
[21] Smith J, Brown A, Miller K. Optimization of injection parameters in common-rail diesel engines using response surface methodology. J Engine Res 2022;45:245–260.
[22] Chen L, Wang H. Dual-fuel injection strategy optimization for heavy-duty diesel engines using response surface methodology. Int J Automot Eng 2023;58:102–118.
[23] Gupta R, Sharma P, Patel S. Performance and emission optimization of biodiesel-diesel blends using response surface methodology. Fuel Energy Sci J 2023;34:134–150.
[24] Lee T, Kim J, Park S. Optimization of EGR and turbocharging parameters in turbocharged diesel engines using response surface methodology. J Sustain Automot Technol 2024;29:198–212.

Details

Primary Language

English

Subjects

Fluid Mechanics and Thermal Engineering (Other)

Journal Section

Research Article

Authors

Raghavendra Ugraram ^*
0000-0002-0986-621X
India

R. Meenakshi Reddy
0000-0002-4899-0774
India

B Chandra Mohana Reddy
0000-0002-4738-2662
India

Publication Date

March 24, 2025

Submission Date

March 11, 2024

Acceptance Date

June 24, 2024

Published in Issue

Year 2025 Volume: 11 Number: 2

DOI

https://doi.org/10.14744/thermal.0000896

IZ

https://izlik.org/JA65BP54UG

Cite

RIS / Bibtex

APA

Ugraram, R., Reddy, R. M., & Reddy, B. C. M. (2025). Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM). Journal of Thermal Engineering, 11(2), 301-313. https://doi.org/10.14744/thermal.0000896

AMA

1.Ugraram R, Reddy RM, Reddy BCM. Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM). Journal of Thermal Engineering. 2025;11(2):301-313. doi:10.14744/thermal.0000896

Chicago

Ugraram, Raghavendra, R. Meenakshi Reddy, and B Chandra Mohana Reddy. 2025. “Performance Optimization of Oxy-Fuel Combustion Diesel Engine With EGR Based on Fuel Injection Parameters Using Response Surface Methodology (RSM)”. Journal of Thermal Engineering 11 (2): 301-13. https://doi.org/10.14744/thermal.0000896.

EndNote

Ugraram R, Reddy RM, Reddy BCM (March 1, 2025) Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM). Journal of Thermal Engineering 11 2 301–313.

IEEE

[1]R. Ugraram, R. M. Reddy, and B. C. M. Reddy, “Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM)”, Journal of Thermal Engineering, vol. 11, no. 2, pp. 301–313, Mar. 2025, doi: 10.14744/thermal.0000896.

ISNAD

Ugraram, Raghavendra - Reddy, R. Meenakshi - Reddy, B Chandra Mohana. “Performance Optimization of Oxy-Fuel Combustion Diesel Engine With EGR Based on Fuel Injection Parameters Using Response Surface Methodology (RSM)”. Journal of Thermal Engineering 11/2 (March 1, 2025): 301-313. https://doi.org/10.14744/thermal.0000896.

JAMA

1.Ugraram R, Reddy RM, Reddy BCM. Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM). Journal of Thermal Engineering. 2025;11:301–313.

MLA

Ugraram, Raghavendra, et al. “Performance Optimization of Oxy-Fuel Combustion Diesel Engine With EGR Based on Fuel Injection Parameters Using Response Surface Methodology (RSM)”. Journal of Thermal Engineering, vol. 11, no. 2, Mar. 2025, pp. 301-13, doi:10.14744/thermal.0000896.

Vancouver

1.Raghavendra Ugraram, R. Meenakshi Reddy, B Chandra Mohana Reddy. Performance optimization of oxy-fuel combustion diesel engine with EGR based on fuel injection parameters using response surface methodology (RSM). Journal of Thermal Engineering. 2025 Mar. 1;11(2):301-13. doi:10.14744/thermal.0000896