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Selection of Oil and Best Bio-Diesel Blend Based on Performance and Emission Characteristics of IC Engine : An Integrated CRITIC-TOPSIS Approach


Affiliations
1 Department of Mechanical Engineering, RVS Technical Campus-Coimbatore, Coimbatore 641 402, Tamil Nadu, India
2 Department of Robotics and Automation Engineering, Erode Sengunthar Engineering College, Erode 638 057, Tamil Nadu, India
3 Department of Mechanical Engineering, Karpagam College of Engineering, Coimbatore 641 032, Tamil Nadu, India
4 Department of Mechanical Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur 492 015, Chhattisgarh, India
 

Selection of optimum bio-diesel blend for internal combustion (IC) engine is crucial. The process of selecting the ideal blend requires a multidimensional analysis. In order to tackle the challenge, an efficient decision-making strategy is required. This paper uses the Multi-Criteria Decision-Making (MCDM) method to offer the selection of a suitable oil and bio-diesel blend based on the performance of the diesel engine under various load circumstances. In order to measure the weights of evaluating criteria, Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) are used. At first, seven different oils and seven assessment parameters, namely kinematic viscosity, cetane number, heating value, cloud point, pour point, flash point and density are attempted to select the acceptable oil for making bio-diesel. Next, the ranking of bio-diesel blends is performed based on the evaluation criteria, namely Brake Thermal Efficiency (BTE), Exhaust Gas Temperature (EGT), nitrogen oxide (NOx), smoke, carbon monoxide (CO), carbon dioxide (CO2) and hydrocarbon (HC) emissions. The results show that hemp seed oil is closer to diesel and higher in ranking. The recommended order of blend is B20 > Diesel > B40 > B60 > B80 > B100. The study indicated that B20 is the optimum blend for diesel engines. In order to meet the economy and pollution standards for the green revolution, decision-makers can use the new insights into MCDM approaches described in this article. This study also demonstrates that the suggested methods for choosing the best bio-diesel blend differ from the existing literature.

Keywords

Engine Analysis, MCDM, Ranking, Suitability, Vegetable Oils.
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  • Parthasarathy M, Ramkumar S, Isaac J R L J, Elumalai P V, Dhinesh B, Krishnamoorthy R & Thiyagarajan S, Performance analysis of HCCI engine powered by Tamanu methyl ester with various inlet air temperature and exhaust gas recirculation ratios, Fuel, 282 (2020) 118833, https://doi.org/10.1016/j.fuel.2020.118833.
  • Dhanalakshmi C S, Madhu P, Karthick A & Kumar R V, Combination of woody and grass type biomass: waste management, influence of process parameters, yield of bio-oil by pyrolysis and its chromatographic characterization, J Sci Ind Res, 80(2) (2021) 172–180.
  • Hussan M J, Hassan M H, Kalam M A & Memon L A, Tailoring key fuel properties of diesel–biodiesel–ethanol blends for diesel engine, J Cleaner Prod, 51 (2013) 118–125, https://doi.org/10.1016/j.jclepro.2013.01.023.
  • Sivalakshmi S & Balusamy T, Effect of biodiesel and its blends with oxygenated additives on performance and emissions from a diesel engine, J Sci Ind Res, 70(10) (2011) 879–883.
  • Gurau V S & Sandhu S S, Optimization and characterization of biodiesel production from India originated bitter apricot kernel oil, J Sci Ind Res, 77(6) (2018) 345–348.
  • Raguraman D, Kumar A, Prasanna Raj Yadav S, Patil P Y, Samson I J, Sowmya D C & Isaac J R L J, Performance and emission characteristics of pyrolysis oil obtained from neem de oiled cake and waste polystyrene in a compression ignition engine, Adv Mater Sci Eng, (2021) 3728852, https://doi.org/10.1155/2021/3728852.
  • Gnanamoorthi V & Devaradjane G, Effect of compression ratio on the performance, combustion and emission of DI diesel engine fueled with ethanol–Diesel blend, J Energy Inst, 88(1) (2015) 19–26, https://doi.org/10.1016/j.joei.2014.06.001.
  • Datta A & Mandal B K, Engine performance, combustion and emission characteristics of a compression ignition engine operating on different biodiesel-alcohol blends, Energy,125 (2017) 470–483, https://doi.org/10.1016/j.energy.2017. 02.110.
  • Vasudeva M, Sharma S, Mohapatra S K & Kundu K, Performance and exhaust emission characteristics of variable compression ratio diesel engine fuelled with esters of crude rice bran oil, Springer Plus, 5 (2016) 293, https://doi.org/10.1186/s40064-016-1945-7.
  • Sivaramakrishnan K, Investigation on performance and emission characteristics of a variable compression multi fuel engine fuelled with Karanja biodiesel–diesel blend, Egypt J Pet, 27(2) (2018) 177–186, https://doi.org/10.1016/j.ejpe.2017.03.001.
  • Parthasarathy M, Ramkumar S & Lalvani J I J R, Influence of various flow rates of CNG in CI engine with blend of Tamanu methyl ester and ethanol, Int J Veh Struct Syst, 11(2) (2019) 144–148, https://doi.org/10.4273/ijvss.11.2.06.
  • Lingesan S, Annamalai K, Parthasarathy M, Ramalingam K M, Dhinesh B & Lalvani J I J, Production of garciniagummi-gutta methyl ester (GGME) as a potential alternative feedstock for existing unmodified DI diesel engine: combustion, performance, and emission characteristics, J Test Eval, 46(6) (2018) 2661–2678, https://doi.org/10.1520/JTE20170246.
  • Dhinesh B, Lalvani J I J, Parthasarathy M & Annamalai K, An assessment on performance, emission and combustion characteristics of single cylinder diesel engine powered by Cymbopogon flexuosus biofuel, Energy Convers Manage, 117 (2016) 466–474, https://doi.org/10.1016/j.enconman.2016.03.049.
  • Gumus M A, Comprehensive experimental investigation of combustion and heat release characteristics of a biodiesel (hazelnut kernel oil methyl ester) fueled direct injection compression ignition engine, Fuel, 89(10) (2010) 2802–2814, https://doi.org/10.1016/j.fuel.2010.01.035.
  • Celik E, Gul M, Aydin N, Gumus A T & Guneri A F, A comprehensive review of multi criteria decision making approaches based on interval type-2 fuzzy sets, Knowledge-Based Syst, 85 (2015) 329–341, https://doi.org/10.1016/j.knosys.2015.06.004.
  • Lakshmi B M, Mathew M, Kinol A M J, Vedagiri B, Perumal S B, Madhu P & Dhanalakshmi, C S, An integrated CRITIC-TOPSIS-and Entropy-TOPSIS-based informative weighting and ranking approach for evaluating green energy sources and its experimental analysis on pyrolysis, Environ Sci Pollut Res, (2022) 1–13, https://doi.org/10.1007/s11356-022-20219-9.
  • Poh K L & Ang B W, Transportation fuels and policy for Singapore: an AHP planning approach, Comput Ind Eng, 37(3) (1999) 507–525, https://doi.org/10.1016/S0360-8352(00)00020-6.
  • Winebrake J J & Creswick B P, The future of hydrogen fueling systems for transportation: an application of perspective-based scenario analysis using the analytic hierarchy process, Technol Forecasting Social Change, 70(4) (2003) 359–384, https://doi.org/10.1016/S0040-1625(01) 00189-5.
  • Tzeng G H, Lin C W & Opricovic S, Multi-criteria analysis of alternative-fuel buses for public transportation, Energy Policy, 33(11) (2005) 1373–1383, https://doi.org/10.1016/j.enpol.2003.12.014.
  • Dhanalakshmi C S, Mathew M & Madhu P, Biomass material selection for sustainable environment by the application of multi-objective optimization on the basis of ratio analysis (MOORA), in Materials, Design, and Manufacturing for Sustainable Environment (Springer, Singapore), 2021, 345–354, https://doi.org/10.1007/978-981-15-9809-8_28.
  • Hambali A, Sapuan S M, Ismail N & Nukman Y, Material selection of polymeric composite automotive bumper beam using analytical hierarchy process, J Cent South Univ, 17(2) (2010) 244–256, https://doi.org/10.1007/s11771-010-0038-y.
  • García-Cascales M S & Lamata M T, Selection of a cleaning system for engine maintenance based on the analytic hierarchy process, Comput Ind Eng, 56(4) (2009) 1442–1451, https://doi.org/10.1016/j.cie.2008.09.015.
  • Hwang C L & Yoon K, Methods for multiple attribute decision making, in Multiple Attribute Decision Making, (Springer, Berlin, Heidelberg) 1981, 58–191, https://doi.org/10.1007/978-3-642-48318-9_3.
  • Imdadul H K, Masjuki H H, Kalam M A, Zulkifli N W M, Alabdulkarem A, Rashed M M & How H G, Higher alcohol–biodiesel–diesel blends: an approach for improving the performance, emission, and combustion of a light-duty diesel engine, Energy Convers Manage, 111 (2016) 174–185, https://doi.org/10.1016/j.enconman.2015.12.066.
  • Prbakaran B & Viswanathan D, Experimental investigation of effects of addition of ethanol to bio-diesel on performance, combustion and emission characteristics in CI engine, Alexandria Eng J, 57(1) (2018) 383–389, https://doi.org/10.1016/j.aej.2016.09.009.
  • Murugesan A, Umarani C, Subramanian R & Nedunchezhian N, Bio-diesel as an alternative fuel for diesel engines—a review, Renewable Sustainable Energy Rev, 13(3) (2009) 653–662, https://doi.org/10.1016/j.rser.2007.10.007.
  • Abed K A, Gad M S, El Morsi A K, Sayed M M & Elyazeed S A, Effect of biodiesel fuels on diesel engine emissions, Egypt J Pet, 28(2) (2019) 183–188, https://doi.org/ 10.1016/j.ejpe.2019.03.001.
  • Sudalaiyandi K, Alagar K, V J M P & Madhu P, Performance and emission characteristics of diesel engine fueled with ternary blends of linseed and rubber seed oil biodiesel, Fuel, 285 (2021) 119255, https://doi.org/10.1016/j.fuel.2020.119255.
  • Gad M S & Jayaraj S, A comparative study on the effect of nano-additives on the performance and emissions of a diesel engine run on Jatropha biodiesel, Fuel, 267 (2020) 117168, https://doi.org/10.1016/j.fuel.2020.117168.
  • Abd-Alla G H, Using exhaust gas recirculation in internal combustion engines: a review, Energy Convers Manage, 43(8) (2002) 1027–1042, https://doi.org/10.1016/ S0196-8904(01)00091-7.
  • Elkelawy M, Bastawissi H A E, Esmaeil K K, Radwan A M, Panchal H, Sadasivuni K K & Walvekar R, Experimental studies on the biodiesel production parameters optimization of sunflower and soybean oil mixture and DI engine combustion, performance, and emission analysis fueled with diesel/biodiesel blends, Fuel, 255 (2019) 115791, https://doi.org/10.1016/j.fuel.2019.115791.
  • Sjöberg M & Zeng W, Combined effects of fuel and dilution type on efficiency gains of lean well-mixed DISI engine operation with enhanced ignition and intake heating for enabling mixed-mode combustion, SAE Int J Engines, 9(2) (2016) 750–767, https://doi.org/10.4271/2016-01-0689.

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  • Selection of Oil and Best Bio-Diesel Blend Based on Performance and Emission Characteristics of IC Engine : An Integrated CRITIC-TOPSIS Approach

Abstract Views: 113  |  PDF Views: 77

Authors

K Saravanakumar
Department of Mechanical Engineering, RVS Technical Campus-Coimbatore, Coimbatore 641 402, Tamil Nadu, India
Y Robinson
Department of Robotics and Automation Engineering, Erode Sengunthar Engineering College, Erode 638 057, Tamil Nadu, India
P Madhu
Department of Mechanical Engineering, Karpagam College of Engineering, Coimbatore 641 032, Tamil Nadu, India
Manoj Mathew
Department of Mechanical Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur 492 015, Chhattisgarh, India

Abstract


Selection of optimum bio-diesel blend for internal combustion (IC) engine is crucial. The process of selecting the ideal blend requires a multidimensional analysis. In order to tackle the challenge, an efficient decision-making strategy is required. This paper uses the Multi-Criteria Decision-Making (MCDM) method to offer the selection of a suitable oil and bio-diesel blend based on the performance of the diesel engine under various load circumstances. In order to measure the weights of evaluating criteria, Criteria Importance Through Intercriteria Correlation (CRITIC) and Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) are used. At first, seven different oils and seven assessment parameters, namely kinematic viscosity, cetane number, heating value, cloud point, pour point, flash point and density are attempted to select the acceptable oil for making bio-diesel. Next, the ranking of bio-diesel blends is performed based on the evaluation criteria, namely Brake Thermal Efficiency (BTE), Exhaust Gas Temperature (EGT), nitrogen oxide (NOx), smoke, carbon monoxide (CO), carbon dioxide (CO2) and hydrocarbon (HC) emissions. The results show that hemp seed oil is closer to diesel and higher in ranking. The recommended order of blend is B20 > Diesel > B40 > B60 > B80 > B100. The study indicated that B20 is the optimum blend for diesel engines. In order to meet the economy and pollution standards for the green revolution, decision-makers can use the new insights into MCDM approaches described in this article. This study also demonstrates that the suggested methods for choosing the best bio-diesel blend differ from the existing literature.

Keywords


Engine Analysis, MCDM, Ranking, Suitability, Vegetable Oils.

References