An integrated mixed integer linear programming model for resilient and sustainable natural gas supply chain

IF 3.1 4区工程技术 Q3 ENERGY & FUELS

Energy Sources Part B-Economics Planning and Policy Pub Date : 2022-10-03 DOI:10.1080/15567249.2022.2118901

Scholastica N. Emenike, A. Ioannou, G. Falcone

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引用次数: 0

Abstract

ABSTRACT Disruptions in the natural gas supply chain result in reduced throughput and associated emissions and losses, causing significant economic, environmental, and social impacts. Therefore, it is crucial to design supply chains that are resilient and sustainable to prevent or reduce the effects of disruptions. This paper proposes a novel Mixed-Integer Linear Programming model, which optimizes the natural gas supply chain in terms of resilience and sustainability, by examining the impact of an additional workflow design (contingency pipeline) located between the shutdown inlet and outlet nodes in the transmission echelon. The model is applied to a “real world” case, using data collected from gas companies operating in Nigeria. Both steady and transient states of the system are examined in this study through a set of scenarios. The best final solution was found to yield 93.6% performance increase when compared to target throughput and 63% performance increase with the introduction of the contingency when compared with the baseline scenario.

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弹性可持续天然气供应链的综合混合整数线性规划模型

天然气供应链的中断会导致吞吐量降低、相关排放和损失减少，对经济、环境和社会造成重大影响。因此，设计具有弹性和可持续性的供应链以防止或减少中断的影响至关重要。本文提出了一种新的混合整数线性规划模型，该模型通过检查位于传输梯队中停机进口和出口节点之间的额外工作流设计(应急管道)的影响，从弹性和可持续性方面优化天然气供应链。该模型应用于“现实世界”的一个案例，使用了从尼日利亚运营的天然气公司收集的数据。在本研究中，系统的稳态和瞬态都通过一组场景进行了检验。我们发现，与目标吞吐量相比，最佳最终解决方案的性能提高了93.6%，与基线场景相比，引入偶然性后的性能提高了63%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Energy Sources Part B-Economics Planning and Policy ENERGY & FUELS-

CiteScore

6.80

自引率

12.80%

发文量

审稿时长

6-12 weeks

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