Multi-objective optimization of bioethanol production process from empty fruit bunch

Name: Pattamaporn Suwajittanont

LCSH: Kasetsart University -- Theses. (M.Eng. (Sustainable Energy and Resources Engineering) 2021

Classification :.LCCS: TP358

LCSH: Kasetsart University. -- Faculty of Engineering -- Theses

LCSH: Ethanol as fuel

LCSH: Ethanol

LCSH: Genetic algorithms

LCSH: Oil palm -- Residues

LCSH: Environmental impact analysis

Abstract: The present research investigates the multi-objective optimization of the bioethanol production process from empty fruit bunch (EFB). The process of producing ethanol from empty fruit bunch is divided into four stages: pretreatment, hydrolysis, fermentation, and purification. EFB is pretreated using hot water, hotcompressed water, and alkaline hydrogen peroxide approaches, with a simultaneous saccharification and fermentation approach chosen to convert the raw materials into ethanol. In this study, commercial-scale bioethanol production from EFB is designed to produce ethanol 99.5 wt.% and 10,000 L/day. A bioethanol production process from EFB was modeled using the Aspen Plus commercial simulation program as a base case. Moreover, the economic feasibility is also evaluated using techno-economic analysis. After that, the bioethanol production is optimized using a nondominated sorting genetic algorithm II (NSGA II), which was developed in the MATLAB program. The optimized condition is including stage number, reflux ratio, normalized feed stage of the distillation column, and fermentation temperature of the fermenter. The associated capital costs, operating costs, and environmental impact were all considered when designing and operating parameters. Multi-objective optimization (MOP) was used to search for an optimal solution. It was used to solve complex problems, including chemical engineering problems. An evolutionary algorithm is a population-based method. It is one of the popular solutions to solve an optimization problem. The proposed multi-objective optimization model was used to maximize the net present value (NPV) of the bioethanol production process while minimizing CO2 emissions. The results show that bioethanol production is profitable and that nearly 48,000 kg/day is required to reach the target capacity. According to the optimization result, the best case of the economic aspect and lowest CO2 emission equivalent is an NPV of 14.076 M. USD with 31,615 tonnes of CO2/yr.

Kasetsart University. Office of the University Library

Address: Bangkok

Email: tdckulib@ku.ac.th

Name: Thongchai Rohitatisha Srinophakun

Role: Thesis Advisor

Created: 2021

Modified: 2025-07-20

Issued: 2025-07-20

วิทยานิพนธ์/Thesis

application/pdf

URL: https://www.lib.ku.ac.th/KUthesis/2564/pattamaporn-suw-all.pdf

CallNumber: TP358 .P38

eng

DegreeName: Master of Engineering

Level: Master's Degree

Descipline: Sustainable Energy and Resources Engineering

Grantor: Kasetsart University

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