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Optimization of Biofuel Supply Chain Operations Based on the Second Generation of Biomass In an Environment of Uncertainty And Considering Water and Energy Nexus: a Case Study of Iran
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Hadi Sahebi Shaham Abadi *   1, Vahid Naseri Taheri2 |
1- Iran University of Science and Technology , hadi_sahebi@iust.ac.ir
2- Iran University of Science and Technology |
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Abstract: (169 Views) |
In recent years, the rise in global population and daily fuel consumption has spurred policymakers and managers to explore alternatives to fossil fuels and non-renewable resources, turning their focus toward renewable options. Biofuels, in particular, have emerged as a prominent consideration. As a result, this research endeavors to introduce a model aimed at optimizing the biofuel supply chain, with a focus on Jatropha. The model proposed in this study is a mathematical optimization model with three primary objectives: minimizing total operational costs, reducing carbon emissions throughout the supply chain, and maximizing fuel production. In framing the problem, certain parameters, such as the cost of biomass cultivation and water requirements, have been treated as fuzzy and uncertain variables. The approach employed to address this optimization model utilizes fuzzy numbers, employing the Lai and Wang method tailored for optimization models dealing with fuzzy variables. The model is solved using the enhanced epsilon-constraint method to identify Pareto points across various values of the triple objective functions. For the production of 2,070,000,000 cubic meters of biofuel, the total operational cost is estimated at 1.49E+11 Iranian Rials, with total carbon dioxide emissions reaching 1,910,000,000 grams.
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| Keywords: Biofuel Supply Chain, Jatropha, Fuzzy Mathematical Programming Model, Second-generation Biomass, Renewable Fuel |
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Full-Text [PDF 1874 kb]
(74 Downloads)
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Type of Study: paper |
Subject:
Environment
Received: 2024/05/11 | Accepted: 2024/08/11 | Published: 2024/10/1 | ePublished: 2024/10/1
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