Abstract
With the global proliferation of industrialization, it is increasingly imperative to mitigate detrimental pollution, particularly in the transportation sector. This study aims to address these concerns by comprehensively investigating the influence of engine input parameters on the performance and emissions of a variable compression ratio diesel engine operating on microalgae biodiesel–diesel blends. To achieve this objective, a meticulously designed four-level, three-factor L16 orthogonal array was employed to construct a statistical model. Subsequently, the response surface methodology (RSM) desirability approach, along with a multi-objective optimization genetic algorithm (GA) approach, was employed to optimize the model and determine the optimal engine input parameters. The investigation revealed that the parametric combination obtained through the GA outperformed the RSM approach. The optimized engine responses were attained at the following input parameter settings: 99.70% engine load, 16.85 compression ratio, and a blend ratio of B20 (20% biodiesel and 80% diesel). At these optimal conditions, the engine exhibited remarkable performance and emissions characteristics. Specifically, the corresponding optimal engine responses for brake thermal efficiency, brake-specific fuel consumption, carbon dioxide, particulate matter, and nitrogen oxides were observed as 33.85%, 281.27 g/kWh, 870 g/kWh, 0.811 g/kWh, and 2074 ppm volume, respectively. Furthermore, experimental validation of the model demonstrated a close agreement between the predicted values and the actual experimental results. These findings substantiate that the utilization of biodiesel–diesel blends can yield substantial environmental benefits and offer a viable alternative to conventional diesel fuel.
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References
Abbasi, S., Daneshmand-Mehr, M., & Ghane, K. (2023). Designing a tri-objective, sustainable, closed-loop, and multi-echelon supply chain during the COVID-19 and lockdowns. Foundations of Computing and Decision Sciences, 48(1), 269.
Abbasi, S., Khalili, H. A., Daneshmand-Mehr, M., & Hajiaghaei-Keshteli, M. (2022). Performance measurement of the sustainable supply chain during the COVID-19 pandemic: A real-life case study. Foundations of Computing and Decision Sciences, 47(4), 327–358.
Ahmad, A., Yadav, A. K., & Singh, A. (2023). Biodiesel yield optimisation from a third-generation feedstock (microalgae spirulina) using a hybrid statistical approach. International Journal of Ambient Energy, 44(1), 1202–1213.
Alruqi, M., Sharma, P., Deepanraj, B., & Shaik, F. (2023). Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: Bayesian optimized Gaussian process regression for modeling-optimization. Fuel, 334, 126827.
Ansari, N. A., Sharma, A., & Singh, Y. (2018). Performance and emission analysis of a diesel engine implementing polanga biodiesel and optimization using Taguchi method. Process Safety and Environmental Protection, 120, 146–154.
Ashok, B., Jeevanantham, A. K., Prabhu, K., Shirude, P. M., Shinde, D. D., Nadgauda, N. S., & Karthick, C. (2021). Multi-objective optimization on vibration and noise characteristics of light duty biofuel powered engine at idling condition using response surface methodology. Journal of Energy Resources Technology, 143(4), 042301.
Dewangan, A., Mallick, A., Yadav, A. K., Ahmad, A., Alqahtani, D., & Islam, S. (2023). Combined effect of operating parameters and nanoparticles on the performance of a diesel engine: response surface methodology-coupled genetic algorithm approach. ACS Omega, 8, 24586.
Elumalai, R., & Ravi, K. (2022). Strategy to reduce carbon emissions by adopting ammonia–Algal biodiesel in RCCI engine and optimize the fuel concoction using RSM methodology. International Journal of Hydrogen Energy, 47(94), 39701–39718.
Goga, G., Singh Chauhan, B., Kumar Mahla, S., Muk Cho, H., Dhir, A., & Chang Lim, H. (2018). Properties and characteristics of various materials used as biofuels: A review. Materials Today: Proceedings, 5(14), 28438–28445.
Hirkude, J. B., & Padalkar, A. S. (2014). Performance optimization of CI engine fuelled with waste fried oil methyl ester-diesel blend using response surface methodology. Fuel, 119, 266–273.
Holman, J. P. (2012). Experimental methods for engineers. New Delhi: The McGraw-Hill Companies.
Khanjani, A., & Sobati, M. A. (2021). Performance and emission of a diesel engine using different water/waste fish oil (WFO) biodiesel/diesel emulsion fuels: Optimization of fuel formulation via response surface methodology (RSM). Fuel, 288, 119662.
Krishnamoorthy, V., Dhanasekaran, R., Rana, D., Saravanan, S., & Kumar, B. R. (2018). A comparative assessment of ternary blends of three bio-alcohols with waste cooking oil and diesel for optimum emissions and performance in a CI engine using response surface methodology. Energy Conversion and Management, 156, 337–357.
Mahla, S. K., Ardebili, S. M. S., Sharma, H., Dhir, A., Goga, G., & Solmaz, H. (2021). Determination and utilization of optimal diesel/n-butanol/biogas derivation for small utility dual fuel diesel engine. Fuel, 289, 119913.
Manimaran, R., Mohanraj, T., & Prabakaran, S. (2023). Biodegradable waste-derived biodiesel as a potential green fuel: Optimization of production process and its application in diesel engine. Industrial Crops and Products, 192, 116078.
Parida, M. K., Joardar, H., Rout, A. K., Routaray, I., & Mishra, B. P. (2019). Multiple response optimizations to improve performance and reduce emissions of Argemone Mexicana biodiesel-diesel blends in a VCR engine. Applied Thermal Engineering, 148, 1454–1466.
Pathak, A., Choudhury, P. K., & Dutta, R. K. (2018). Taguchi-grey relational based multi-objective optimization of process parameters on the emission and fuel consumption characteristics of A VCR petrol engine. Materials Today: Proceedings, 5(2), 4702–4710.
Saiteja, P., & Ashok, B. (2021). A critical insight review on homogeneous charge compression ignition engine characteristics powered by biofuels. Fuel, 285, 119202.
Sharma, A., Singh, Y., Singh, N. K., & Singla, A. (2019). Sustainability of jojoba biodiesel/diesel blends for DI diesel engine applications-taguchi and response surface methodology concept. Industrial Crops and Products, 139, 111587.
Sharma, P. (2022). Prediction-optimization of the effects of Di-Tert Butyl peroxide-biodiesel blends on engine performance and emissions using multi-objective response surface methodology. Journal of Energy Resources Technology, 144(7), 072301.
Singh, T. S., Rajak, U., Samuel, O. D., Chaurasiya, P. K., Natarajan, K., Verma, T. N., & Nashine, P. (2021). Optimization of performance and emission parameters of direct injection diesel engine fuelled with microalgae Spirulina (L.)–Response surface methodology and full factorial method approach. Fuel, 285, 119103.
Singh, Y., Sharma, A., Singh, G. K., Singla, A., & Singh, N. K. (2018). Optimization of performance and emission parameters of direct injection diesel engine fuelled with pongamia methyl esters-response surface methodology approach. Industrial Crops and Products, 126, 218–226.
Srivastava, R. K., Shetti, N. P., Reddy, K. R., & Aminabhavi, T. M. (2020). Biofuels, biodiesel and biohydrogen production using bioprocesses. A Review. Environmental Chemistry Letters, 18(4), 1049–1072.
Tariq, R., Sohani, A., Xamán, J., Sayyaadi, H., Bassam, A., & Tzuc, O. M. (2019). Multi-objective optimization for the best possible thermal, electrical and overall energy performance of a novel perforated-type regenerative evaporative humidifier. Energy Conversion and Management, 198, 111802.
Tosun, E., Aydin, K., & Bilgili, M. (2016). Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-alcohol mixtures. Alexandria Engineering Journal, 55(4), 3081–3089.
Verma, T. N., Shrivastava, P., Rajak, U., Dwivedi, G., Jain, S., Zare, A., Shukla, A. K., & Verma, P. (2021). A comprehensive review of the influence of physicochemical properties of biodiesel on combustion characteristics, engine performance and emissions. Journal of Traffic and Transportation Engineering, 8(4), 510–533.
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Ahmad, A., Yadav, A.K., Singh, A. et al. Multi-response optimization of a microalgae-spirulina-fueled VCR diesel engine: a comprehensive RSM-GA approach. Environ Dev Sustain (2023). https://doi.org/10.1007/s10668-023-04016-z
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DOI: https://doi.org/10.1007/s10668-023-04016-z