Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract— This study utilized a central composite design (CCD) with the aim of attaining the ideal circumstances for multi-objective optimization (MOOP) so as to convert cooking oil waste into useable biodiesel. Reducing the overall capital cost ( ) and lowering the cost of procedures ( ) comprised the primary functions of MOOP. To resolve issues and contrast them with other techniques in Meta-heuristic to 5 well-known approaches, the Grey Wolf Optimizer (GWO) technique was applied. In an effort to establish the settings that offer optimization for the process used in biodiesel manufacturing, this research carried out an experiment employing CCD. Because it is one of the most commonly employed programs known to deliver valuable results, CCD was selected for the development of thirteen parameters. To assess the influences of the independent parameters on the mass fraction of FAME, % FAME purity, the mass fraction of glycerol, and % glycerol purity was included in the creation of this experimental set using CCD. The overall capital cost was US $8,302,990, while the operations cost was US $1,731,277 per year, as demonstrated by supplementary research involving optimization by CCD. It was revealed that a cost savings of roughly US $1,060 and US $6,310 annually was possible for overall capital cost and operations cost, respectively, when compared to the original process.
Index Terms— multi-objective optimization, biodiesel production, central composite design, grey wolf optimizer
Cite: Somboon Sukpancharoen, Thongchai Rohitatisha Srinophakun, and Pasura Aungkulanon, "Grey Wolf Optimizer (GWO) with Multi-Objective Optimization for Biodiesel Production from Waste Cooking Oil Using Central Composite Design (CCD)," International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 8, pp. 1219-1225, August 2020. DOI: 10.18178/ijmerr.9.8.1219-1225
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