Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater

Mohd Faizan Jamaluddin; Kenneth Tiong Kim Yeoh; Chee Ming Choo; Marie Laurina Emmanuelle Laurel Angel Guillaume; Lik Yin Ng; Vui Soon Chok

doi:10.1007/978-3-031-50330-6_21

Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater

Mohd Faizan Jamaluddin
, Kenneth Tiong Kim Yeoh
, Chee Ming Choo
, Marie Laurina Emmanuelle Laurel Angel Guillaume
, Lik Yin Ng
, Vui Soon Chok

SEGi University
UCSI University
KL-Kepong (KLK) Oleomas Sdn. Bhd

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The purpose of this study is to develop an optimisation model by using mathematical optimisation via LINGO version 18 software to optimise the biogas production process from oleochemical wastewater. Improper disposal of oleochemical wastewater can have significant environmental consequences, therefore recovering biogas from wastewater can offer both environmental and economic benefits. This optimisation is achieved by evaluating various biodigester types and pre-treatment methods. Two objective functions are formulated, maximisation of economic performance and maximisation of biogas quality. A multi-objective optimisation model is developed utilizing a mathematical model that maximises both economic performance and biogas yield. This optimisation method serves as a guide for biogas and wastewater treatment plants to achieve a sustainable biogas production. The results of this study provide the most economically and environmentally sustainable pathway for biogas production.

Original language	English
Title of host publication	Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023
Editors	Pandian Vasant, Mohammad Shamsul Arefin, Vladimir Panchenko, J. Joshua Thomas, Elias Munapo, Gerhard-Wilhelm Weber, Roman Rodriguez-Aguilar
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	209-215
Number of pages	7
ISBN (Print)	9783031503290
DOIs	https://doi.org/10.1007/978-3-031-50330-6_21
Publication status	Published - 2023
Externally published	Yes
Event	6th International Conference on Intelligent Computing and Optimization, ICO 2023 - Hua Hin, Thailand Duration: 27 Apr 2023 → 28 Apr 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	852 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th International Conference on Intelligent Computing and Optimization, ICO 2023
Country/Territory	Thailand
City	Hua Hin
Period	27/04/23 → 28/04/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

Biogas
Mathematical optimisation model
Oleochemical wastewater
Sustainability

Access to Document

10.1007/978-3-031-50330-6_21

Cite this

Jamaluddin, M. F., Yeoh, K. T. K., Choo, C. M., Guillaume, M. L. E. L. A., Ng, L. Y., & Chok, V. S. (2023). Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater. In P. Vasant, M. Shamsul Arefin, V. Panchenko, J. J. Thomas, E. Munapo, G.-W. Weber, & R. Rodriguez-Aguilar (Eds.), Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023 (pp. 209-215). (Lecture Notes in Networks and Systems; Vol. 852 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-50330-6_21

Jamaluddin, Mohd Faizan ; Yeoh, Kenneth Tiong Kim ; Choo, Chee Ming et al. / Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater. Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023. editor / Pandian Vasant ; Mohammad Shamsul Arefin ; Vladimir Panchenko ; J. Joshua Thomas ; Elias Munapo ; Gerhard-Wilhelm Weber ; Roman Rodriguez-Aguilar. Springer Science and Business Media Deutschland GmbH, 2023. pp. 209-215 (Lecture Notes in Networks and Systems).

@inproceedings{37482619aab14a64879a60f0525482dd,

title = "Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater",

abstract = "The purpose of this study is to develop an optimisation model by using mathematical optimisation via LINGO version 18 software to optimise the biogas production process from oleochemical wastewater. Improper disposal of oleochemical wastewater can have significant environmental consequences, therefore recovering biogas from wastewater can offer both environmental and economic benefits. This optimisation is achieved by evaluating various biodigester types and pre-treatment methods. Two objective functions are formulated, maximisation of economic performance and maximisation of biogas quality. A multi-objective optimisation model is developed utilizing a mathematical model that maximises both economic performance and biogas yield. This optimisation method serves as a guide for biogas and wastewater treatment plants to achieve a sustainable biogas production. The results of this study provide the most economically and environmentally sustainable pathway for biogas production.",

keywords = "Biogas, Mathematical optimisation model, Oleochemical wastewater, Sustainability",

author = "Jamaluddin, \{Mohd Faizan\} and Yeoh, \{Kenneth Tiong Kim\} and Choo, \{Chee Ming\} and Guillaume, \{Marie Laurina Emmanuelle Laurel Angel\} and Ng, \{Lik Yin\} and Chok, \{Vui Soon\}",

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year = "2023",

doi = "10.1007/978-3-031-50330-6\_21",

language = "English",

isbn = "9783031503290",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "209--215",

editor = "Pandian Vasant and \{Shamsul Arefin\}, Mohammad and Vladimir Panchenko and Thomas, \{J. Joshua\} and Elias Munapo and Gerhard-Wilhelm Weber and Roman Rodriguez-Aguilar",

booktitle = "Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023",

}

Jamaluddin, MF, Yeoh, KTK, Choo, CM, Guillaume, MLELA, Ng, LY & Chok, VS 2023, Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater. in P Vasant, M Shamsul Arefin, V Panchenko, JJ Thomas, E Munapo, G-W Weber & R Rodriguez-Aguilar (eds), Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023. Lecture Notes in Networks and Systems, vol. 852 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 209-215, 6th International Conference on Intelligent Computing and Optimization, ICO 2023, Hua Hin, Thailand, 27/04/23. https://doi.org/10.1007/978-3-031-50330-6_21

Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater. / Jamaluddin, Mohd Faizan; Yeoh, Kenneth Tiong Kim; Choo, Chee Ming et al.
Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023. ed. / Pandian Vasant; Mohammad Shamsul Arefin; Vladimir Panchenko; J. Joshua Thomas; Elias Munapo; Gerhard-Wilhelm Weber; Roman Rodriguez-Aguilar. Springer Science and Business Media Deutschland GmbH, 2023. p. 209-215 (Lecture Notes in Networks and Systems; Vol. 852 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater

AU - Jamaluddin, Mohd Faizan

AU - Yeoh, Kenneth Tiong Kim

AU - Choo, Chee Ming

AU - Guillaume, Marie Laurina Emmanuelle Laurel Angel

AU - Ng, Lik Yin

AU - Chok, Vui Soon

PY - 2023

Y1 - 2023

N2 - The purpose of this study is to develop an optimisation model by using mathematical optimisation via LINGO version 18 software to optimise the biogas production process from oleochemical wastewater. Improper disposal of oleochemical wastewater can have significant environmental consequences, therefore recovering biogas from wastewater can offer both environmental and economic benefits. This optimisation is achieved by evaluating various biodigester types and pre-treatment methods. Two objective functions are formulated, maximisation of economic performance and maximisation of biogas quality. A multi-objective optimisation model is developed utilizing a mathematical model that maximises both economic performance and biogas yield. This optimisation method serves as a guide for biogas and wastewater treatment plants to achieve a sustainable biogas production. The results of this study provide the most economically and environmentally sustainable pathway for biogas production.

AB - The purpose of this study is to develop an optimisation model by using mathematical optimisation via LINGO version 18 software to optimise the biogas production process from oleochemical wastewater. Improper disposal of oleochemical wastewater can have significant environmental consequences, therefore recovering biogas from wastewater can offer both environmental and economic benefits. This optimisation is achieved by evaluating various biodigester types and pre-treatment methods. Two objective functions are formulated, maximisation of economic performance and maximisation of biogas quality. A multi-objective optimisation model is developed utilizing a mathematical model that maximises both economic performance and biogas yield. This optimisation method serves as a guide for biogas and wastewater treatment plants to achieve a sustainable biogas production. The results of this study provide the most economically and environmentally sustainable pathway for biogas production.

KW - Biogas

KW - Mathematical optimisation model

KW - Oleochemical wastewater

KW - Sustainability

UR - https://www.scopus.com/pages/publications/85180812263

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DO - 10.1007/978-3-031-50330-6_21

M3 - Conference contribution

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SN - 9783031503290

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BT - Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023

A2 - Vasant, Pandian

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A2 - Thomas, J. Joshua

A2 - Munapo, Elias

A2 - Weber, Gerhard-Wilhelm

A2 - Rodriguez-Aguilar, Roman

PB - Springer Science and Business Media Deutschland GmbH

T2 - 6th International Conference on Intelligent Computing and Optimization, ICO 2023

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ER -

Jamaluddin MF, Yeoh KTK, Choo CM, Guillaume MLELA, Ng LY, Chok VS. Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater. In Vasant P, Shamsul Arefin M, Panchenko V, Thomas JJ, Munapo E, Weber GW, Rodriguez-Aguilar R, editors, Intelligent Computing and Optimization - Proceedings of the 6th International Conference on Intelligent Computing and Optimization 2023 ICO2023. Springer Science and Business Media Deutschland GmbH. 2023. p. 209-215. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-50330-6_21

Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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