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The role of magnetic maghemite (Fe2O3) nanoparticles for the improvement of 2nd generation biodiesel/diesel Blends: RSM based multi-objective optimization

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  • Şener, Ramazan
  • Uslu, Samet
  • Savaş, Arif

Abstract

Nanoparticle additives have gained increasing attention for enhancing the performance and emission characteristics of biodiesel fuels. In this study, the addition of maghemite (Fe2O3) nanoparticles at 3 different concentrations (50, 100 and 150 ppm) to J10 fuel (jojoba biodiesel 10 % + diesel 90 %) was tested in a single-cylinder diesel engine. This study is the first to investigate the effect of this nanoparticle as an additive in jojoba biodiesel. With 100J10 (100 ppm Fe2O3 + jojoba biodiesel 10 % + diesel 90 %) fuel blend, average CO emission decreased by 49.84 % and average HC emission value decreased by 66.880 % compared to neat diesel. However, with the 100J10 blend, average CO2 emission increased by 26.33 % and NOx emission value increased by 24.04 % compared to neat diesel. Fe2O3 nanoparticles added to biodiesel positively affected the engine performance. Compared to J10 fuel, BSFC value of 100J10 fuel decreased by 4.02 %, while BTE value increased by 4.21 %. The optimum operating conditions were determined as 1.46 kW load and 59.09 ppm Fe2O3 nanoparticle added fuel. The values obtained under these operating conditions were 5.03 % CO2, 8.39 ppm HC, 445.55 ppm NOx, 376.86 g/kWh BSFC, 22.69 % BTE and 0.0343 % CO.

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  • Şener, Ramazan & Uslu, Samet & Savaş, Arif, 2025. "The role of magnetic maghemite (Fe2O3) nanoparticles for the improvement of 2nd generation biodiesel/diesel Blends: RSM based multi-objective optimization," Renewable Energy, Elsevier, vol. 249(C).
  • Handle: RePEc:eee:renene:v:249:y:2025:i:c:s0960148125008730
    DOI: 10.1016/j.renene.2025.123211
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    1. Oyetola Ogunkunle & Noor A. Ahmed, 2021. "Overview of Biodiesel Combustion in Mitigating the Adverse Impacts of Engine Emissions on the Sustainable Human–Environment Scenario," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
    2. Veljković, Vlada B. & Biberdžić, Milan O. & Banković-Ilić, Ivana B. & Djalović, Ivica G. & Tasić, Marija B. & Nježić, Zvonko B. & Stamenković, Olivera S., 2018. "Biodiesel production from corn oil: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 531-548.
    3. Agarwal, Swati & Kumari, Sonu & Mudgal, Anurag & Khan, Suphiya, 2020. "Green synthesized nanoadditives in jojoba biodiesel-diesel blends: An improvement of engine performance and emission," Renewable Energy, Elsevier, vol. 147(P1), pages 1836-1844.
    4. Ağbulut, Ümit & Sarıdemir, Suat & Rajak, Upendra & Polat, Fikret & Afzal, Asif & Verma, Tikendra Nath, 2021. "Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics," Energy, Elsevier, vol. 229(C).
    5. Simsek, Suleyman & Uslu, Samet & Simsek, Hatice & Uslu, Gonca, 2021. "Multi-objective-optimization of process parameters of diesel engine fueled with biodiesel/2-ethylhexyl nitrate by using Taguchi method," Energy, Elsevier, vol. 231(C).
    6. Zhao, Qingyun & Han, Fei & Huang, Yuhong & She, Xiaohui & You, Zhanping & Zhang, Biao, 2024. "Research of the carbon footprint calculation and evaluation method based on the pattern microalgae for biodiesel production," Renewable Energy, Elsevier, vol. 231(C).
    7. Chahyani Romelin & Zahedi & Badai Charamsar Nusantara, 2024. "Comparative Analysis of Response Surface Methodology (RSM) and Taguchi Method: Optimization Hydraulic Ram Pump Performance," SN Operations Research Forum, Springer, vol. 5(4), pages 1-32, December.
    8. Shivakumar & Srinivasa Pai, P. & Shrinivasa Rao, B.R., 2011. "Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings," Applied Energy, Elsevier, vol. 88(7), pages 2344-2354, July.
    9. Uslu, Samet & Simsek, Suleyman & Simsek, Hatice, 2023. "RSM modeling of different amounts of nano-TiO2 supplementation to a diesel engine running with hemp seed oil biodiesel/diesel fuel blends," Energy, Elsevier, vol. 266(C).
    10. Fangyuan Zheng & Haeng Muk Cho, 2024. "The Comprehensive Effects of Nano Additives on Biodiesel Engines—A Review," Energies, MDPI, vol. 17(16), pages 1-21, August.
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