Abstract
Amidst the global effort in energy transition from fossil fuel remains a challenge for the heavily dependent oil and gas (O&G) industry. Thus, the circular economy (CE) concept offers a viable approach to improve the long-term sustainability of the O&G industry while transitioning toward sustainable development. This research proposed the re-refinery strategies to attain circularity within the O&G industry. Two models are developed to address the strategy decision on both Meso (re-refinery technology decision optimization via P-graph approach) and Macro (supply chain optimization via mixed-integer linear programming (MILP)) perspectives. The re-refining of waste oil utilizing membrane ultrafiltration followed by hydrofinishing is favoured in both cases for its economic potential contributed by its higher production yield (89.94 wt%) compared to distillation (77.12 wt%) pathway. Overall, the re-refining strategy suggest promising improvement in both economic (27.17% lower cost) and environmental (55.35% lower emissions) performance. The addition of in-situ lubricant blending incurred a 4.49% reduction in total cost of the supply chain as compared to the base case with primary reduction (31.48%) in transportation. This study reveals the potential of re-refining approach which serves as guidelines for decision-makers and researchers to strengthen CE practice in modern O&G industry.
Original language | English |
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Article number | 127814 |
Journal | Energy |
Volume | 279 |
Early online date | 19 Jun 2023 |
DOIs | |
Publication status | Published - 15 Sept 2023 |
Keywords
- Circular economy
- Facility allocation problem
- Graph-theoretic
- Pareto optimal
- Technology selection problem
- Waste oil
ASJC Scopus subject areas
- Mechanical Engineering
- Pollution
- Energy Engineering and Power Technology
- General Energy
- Electrical and Electronic Engineering
- Management, Monitoring, Policy and Law
- Industrial and Manufacturing Engineering
- Building and Construction
- Fuel Technology
- Renewable Energy, Sustainability and the Environment
- Civil and Structural Engineering
- Modelling and Simulation