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Experimental investigation of low-level water in waste-oil produced biodiesel-diesel fuel blend

Author

Listed:
  • Khalife, Esmail
  • Kazerooni, Hanif
  • Mirsalim, Mostafa
  • Roodbar Shojaei, Taha
  • Mohammadi, Pouya
  • Salleh, Amran Mohd
  • Najafi, Bahman
  • Tabatabaei, Meisam

Abstract

Diminishing fuel resources and stringent emission mandates have demanded cleaner combustion and increased fuel efficiency. Three water addition rates, i.e., 2, 4, and 6 wt% in biodiesel-diesel blend (B5) was investigated herein. Combustion characteristics of the emulsified fuel blends were compared in a naturally-aspirated diesel engine at full load and different engine speeds. More specifically, biodiesel was produced from waste cooking oil (WCO) and to further increase waste utilization, recycled biodiesel wastewater was used as additive in B5. The result obtained showed that low-level water addition (i.e., 2 and 4 wt%) in B5 led to different results from those obtained using higher water addition rates (i.e., >5 wt%) reported by the previous studies. In more details, the findings of the present study revealed that low level water addition in B5 could considerably reduce CO, HC, CO2, and NOx emissions. Among water-containing B5 fuel emulsions, the optimal water addition level in terms of engine performance parameters and emissions was found at 4 wt%. In particular, the emitted CO2, HC, and NOx were decreased by over 8.5%, 28%, and 24%, respectively, at maximum speed of 2500 rpm.

Suggested Citation

  • Khalife, Esmail & Kazerooni, Hanif & Mirsalim, Mostafa & Roodbar Shojaei, Taha & Mohammadi, Pouya & Salleh, Amran Mohd & Najafi, Bahman & Tabatabaei, Meisam, 2017. "Experimental investigation of low-level water in waste-oil produced biodiesel-diesel fuel blend," Energy, Elsevier, vol. 121(C), pages 331-340.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:331-340
    DOI: 10.1016/j.energy.2017.01.003
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    4. Najafi, Bahman & Akbarian, Eivaz & Lashkarpour, S. Mehdi & Aghbashlo, Mortaza & Ghaziaskar, Hassan S. & Tabatabaei, Meisam, 2019. "Modeling of a dual fueled diesel engine operated by a novel fuel containing glycerol triacetate additive and biodiesel using artificial neural network tuned by genetic algorithm to reduce engine emiss," Energy, Elsevier, vol. 168(C), pages 1128-1137.
    5. Ettefaghi, Ehsanollah & Rashidi, Alimorad & Ghobadian, Barat & Najafi, G. & Ghasemy, Ebrahim & Khoshtaghaza, Mohammad Hadi & Delavarizadeh, Saman & Mazlan, Mohamed, 2021. "Bio-nano emulsion fuel based on graphene quantum dot nanoparticles for reducing energy consumption and pollutants emission," Energy, Elsevier, vol. 218(C).
    6. Gowrishankar, Sudarshan & Krishnasamy, Anand, 2023. "Emulsification – A promising approach to improve performance and reduce exhaust emissions of a biodiesel fuelled light-duty diesel engine," Energy, Elsevier, vol. 263(PC).
    7. Bahman Najafi & Sina Faizollahzadeh Ardabili & Amir Mosavi & Shahaboddin Shamshirband & Timon Rabczuk, 2018. "An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and," Energies, MDPI, vol. 11(4), pages 1-18, April.
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