A resilient drop-in biofuel supply chain integrated with existing petroleum infrastructure: Toward more sustainable transport fuel solutions

被引:21
|
作者
Yazdanparast, R. [1 ]
Jolai, F. [1 ]
Pishvaee, M. S. [2 ]
Keramati, A. [1 ,3 ]
机构
[1] Univ Tehran, Coll Engn, Sch Ind Engn, Tehran, Iran
[2] Iran Univ Sci & Technol, Sch Ind Engn, Tehran, Iran
[3] Ryerson Univ, Ted Rogers Sch Informat Technol Management, Toronto, ON, Canada
关键词
Drop-in biofuels; Biofuel supply chain; Two-stage stochastic programming; Conditional value-at-risk; Supply chain resilience; LOGISTICS NETWORK DESIGN; UTILIZING CONDITIONAL VALUE; HYDROCARBON BIOFUEL; BIOMASS; RISK; OPTIMIZATION; OPERATIONS; UNCERTAINTIES; DISRUPTIONS; MANAGEMENT;
D O I
10.1016/j.renene.2021.11.081
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drop-in biofuels, which are functionally equivalent to petroleum-based transportation fuels and fully compatible with existing petroleum infrastructure, have been widely used in developed countries in recent decades as an effective means of reducing the greenhouse gas (GHG) emissions emitted by fossil fuels. The most challenging obstacles to biofuel development are the widespread access to cheap fossil fuels, high costs of constructing biorefineries, and potential disruptions in the biofuel supply chain (SC). This paper proposes a practical optimization model for the development of drop-in biofuels using the existing petroleum infrastructure. The model takes potential supply and production disruptions into account, and investigates four proactive strategies: flexible supply contracts, infrastructure fortification, alternative production routes, and prepositioning of emergency inventory to improve overall SC resil-ience. Furthermore, a risk-averse two-stage stochastic program is developed to cope with uncertainty where a conditional value-at-risk (CVaR) is used as the risk measure. By integrating the planning and operational decisions in this decision-making framework, we explore the best available solutions to ensure both economic and environmental sustainability. In the end, the applicability of the proposed model is verified through a real-world case study. The results indicate that the proposed strategies are effective in minimizing logistical costs.(c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:799 / 819
页数:21
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