Abstract

Huge generation of oil palm biomass has stimulated the development of biorefineries for synthesis of bioproducts. By targeting the palm oil industry and the biorefineries as the consumers of these products, a sustainable circular economy can be created by recycling the biomass wastes to the said consumers. To evaluate the techno-economic feasibility of the sustainable circular economy, a mathematical model demonstrating the biomass network with consideration of recycling is developed in this work. Besides, Process Graph (P-graph) is incorporated to perform the combinatorial optimization of the biomass network, which targets three common resources: fertilizer, steam, and electricity for regeneration and recycling. Although the result shows that the linear economy model is preferred in terms of profitability, the circular economy model shows potential in reducing 39.292% of the imported steam and 13.469% of the imported electricity, while being 0.642% lower in terms of the gross profit. Three scenarios are then proposed to identify the potential bottleneck that can hinder the implementation of the sustainable circular economy approach, with the aid of sensitivity analysis. This work is expected to benefit the biomass-based industry sectors and the policymakers on future development and transition to the sustainable circular economy.

Highlights

  • Palm oil has shown versatile applications in both edible and non-edible use

  • This paper presented a graph theoretic approach in utilizing the oil palm biomass using the concept of the sustainable circular economy

  • Process Graph (P-graph) to determine the optimum combination of biorefineries for the regeneration and recycling of the targeted resources needed by the industry

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Summary

Introduction

Palm oil has shown versatile applications in both edible and non-edible use. While it is commonly found in food and oleochemical industries, the rising application of palm oil in recent years is the synthesis of biodiesel. Palm oil (CPO) has increased from roughly 10 million tons (Mt) to 19.9 Mt, whereas the plantation the labor-intensive nature of the said industry helps tackle the poverty in these countries due to the area has expanded from 3.3 million hectares (Mha) to 5.9 Mha in a span of two decades from 2000 to enormous demand [4]. The first issue has caused the backlash by the European countries, the palm oil industry has raised some environmental issues, such as deforestation which started refusing the palm oil products despite being one of the largest consumers of CPO. Every ton of CPO can be associated with 9 tons of biomass, which translates palm oil industry has contributed up to 77% of the total agricultural wastes in Peninsular Malaysia to roughly 179 Mt of biomass in Malaysia as of 2019 [10].

Problem Statement
Method
Data further
Model Formulation
P-graph Modeling of Biomass Network
Generic
Sensitivity Analysis
Case Study Description
Base Case Study
Special
Result
Scenario I—Price Inflation in Imported Resources
Scenario II—Extension of POME Utilization in P-graph Model
Findings
Scenario III—Debottlenecking the Pathway of Fertilizer Production
Conclusions
Full Text
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