System Dynamics Modelling: Integrating Empty Fruit Bunch Biomass Logistics to Reduce GHG Emissions

Iffat Abbas Abbasi (), Hasbullah Ashari and Ijaz Yusuf
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Iffat Abbas Abbasi: Department of Management and Humanities, University Technology PETRONAS, Seri Iskandar 32610, Perak, Malaysia
Hasbullah Ashari: Department of Management and Humanities, University Technology PETRONAS, Seri Iskandar 32610, Perak, Malaysia
Ijaz Yusuf: Department of Operation and Supply Chain, University of Management and Technology Lahore, Lahore 54770, Pakistan

Resources, 2023, vol. 12, issue 4, 1-13

Abstract: The world is shifting toward renewable energy sources due to global warming and rising GHG emissions. Malaysia has joined other nations in the conference of parties to develop policies for the reduction of GHG and carbon emissions. Malaysia is switching towards sustainable, eco-friendly and renewable energy sources. EFB biomass, one of the by-products of palm oil, has enormous potential as a sustainable energy source. Malaysia, one of the top exporters of palm oil, is unable to employ EFB-biomass-based power generation due to storage, logistics and supply-chain-related constraints. Therefore, this study integrates EFB biomass supply-chain logistics to overcome the reported challenges. The current study employs the system dynamics (SD) approach to achieve the objectives as it explains the dynamics of interaction and behaviour among the sub-systems. A document-based model-building approach is employed to collect data to develop the base model. The document-based model-building approach and system dynamics modelling facilitates the achievement of two outcomes: integrated EFB biomass logistics and GHG reduction using EFB. These outcomes are crucial to enhancing the base model and realizing the zero-carbon emission goal to contribute to sustainable development goals.

Keywords: system dynamics (SD); empty fruit bunch (EFB); biomass; GHG emission (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2023
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