Comparative of various bio‐inspired meta‐heuristic optimization algorithms in performance and emissions of diesel engine fuelled with B5 containing water and cerium oxide additive blends

Author:

Khalife Esmail1ORCID,Kaveh Mohammad2,Younesi Abdollah34,Balasubramanian Dhinesh5,Khanmohammadi Shoaib6ORCID,Najafi Bahman7

Affiliation:

1. Department of Civil Engineering Cihan University‐Erbil Kurdistan Region Iraq

2. Department of Petroleum Engineering, College of Engineering Knowledge University Erbil Iraq

3. Department of Electrical and Computer Engineering University of Connecticut Storrs Connecticut USA

4. School of Computing Sciences University of East Anglia Norwich UK

5. Department of Mechanical Engineering Mepco Schlenk Engineering College Sivakasi India

6. Department of Mechanical Engineering Kermanshah University of Technology Kermanshah Iran

7. Department of Biosystems Engineering, Faculty of Agricultural Technology and Natural Resources University of Mohaghegh Ardabili Ardabil Iran

Publisher

Hindawi Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference50 articles.

1. Artificial neural networks model for predicting the behavior of different injection pressure characteristics powered by blend of biofuel‐nano emulsion;Elumalai P;Energy Sci Eng,2022

2. Experimental based comparative exergy analysis of a spark‐ignition Honda GX270 Genset engine fueled with LPG and syngas;Ganesan N;Energy Science & Engineering,2022

3. Reactor technologies for biodiesel production and processing: A review

4. Impacts of additives on performance and emission characteristics of diesel engines during steady state operation

5. A novel emulsion fuel containing aqueous nano cerium oxide additive in diesel–biodiesel blends to improve diesel engines performance and reduce exhaust emissions: Part I – Experimental analysis

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