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Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater

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Intelligent Computing and Optimization (ICO 2023)

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.

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Acknowledgement

This study was supported in part by the RMIC SEGi University (Award No: SEGiIRF/2022-Q1/FoEBEIT/005). KLK Oleomas Sdn Bhd deserves special thanks for providing access to their archives and technical advice throughout the project.

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Correspondence to Mohd Faizan Jamaluddin .

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Jamaluddin, M.F., Yeoh, K.T.K., Choo, C.M., Guillaume, M.L.E.LA., Ng, L.Y., Chok, V.S. (2023). Optimisation of a Sustainable Biogas Production from Oleochemical Industrial Wastewater. In: Vasant, P., et al. Intelligent Computing and Optimization. ICO 2023. Lecture Notes in Networks and Systems, vol 852. Springer, Cham. https://doi.org/10.1007/978-3-031-50330-6_21

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