Synthesis of Biomass Corridor in Peninsular Malaysia via Hybrid Mathematical and Graphical Framework

Hon Loong Lam (), Jia Chun Ang, Yi Peng Heng, Ho Yan Lee, Adrian Chun Minh Loy and Bing Shen How
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Hon Loong Lam: Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Semenyih 43500, Selangor, Malaysia
Jia Chun Ang: Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Semenyih 43500, Selangor, Malaysia
Yi Peng Heng: Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Semenyih 43500, Selangor, Malaysia
Ho Yan Lee: Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Semenyih 43500, Selangor, Malaysia
Adrian Chun Minh Loy: Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
Bing Shen How: Biomass Waste-to-Wealth Special Interest Group, Research Centre for Sustainable Technologies, Faculty of Engineering, Computing and Science, Swinburne University of Technology, Jalan Simpang Tiga, Kuching 93350, Sarawak, Malaysia

Sustainability, 2023, vol. 15, issue 14, 1-30

Abstract: The valorisation of biomass by synthesising a multi-biomass corridor can be an optimistic pathway to solving the growing waste management problem. However, the supply chain problem usually involves a massive number of variables, including the connectivity of the sink source and the selection of a technology pathway. In this work, a “Decomposition Approach” was utilised, wherein a P-graph was incorporated with a conventional mathematical model to reduce the number of variables. Although this type of approach is well established with respect to solving biomass supply chain problems, no previous works have comprehensively considered the effect of the maximum allowable travel distance (MATD) on a supply chain model. A case study in Peninsular Malaysia involving oil palm, paddy, and coconut biomass was conducted using the proposed approach. Moreover, a multiple linear regression (MLR) tool for formulating the cost-correlated function based on the best technology pathway obtained from a P-Graph was incorporated. As a result, the net profit of the biomass corridor was estimated to be USD 0.87 billion, with 1.45 × 10 7 tonnes per year of biomass being sent to 39 processing hubs over a 20-year lifespan. Furthermore, a sensitivity analysis was also conducted to investigate the impact of several cost-related parameters on the net profit.

Keywords: biomass; supply chain; P-graph; optimisation; valorisation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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