Daghigh, Rozita, Pishvaee, Mir Saman, Jabalameli, Mohammad Saeed, Pakseresht, Saeed. (1399). Resilient Natural Gas Transmission Network Design Optimization: A Case Study. , 54(3), 243-265. doi: 10.22059/jieng.2021.324800.1767
Rozita Daghigh; Mir Saman Pishvaee; Mohammad Saeed Jabalameli; Saeed Pakseresht. "Resilient Natural Gas Transmission Network Design Optimization: A Case Study". , 54, 3, 1399, 243-265. doi: 10.22059/jieng.2021.324800.1767
Daghigh, Rozita, Pishvaee, Mir Saman, Jabalameli, Mohammad Saeed, Pakseresht, Saeed. (1399). 'Resilient Natural Gas Transmission Network Design Optimization: A Case Study', , 54(3), pp. 243-265. doi: 10.22059/jieng.2021.324800.1767
Daghigh, Rozita, Pishvaee, Mir Saman, Jabalameli, Mohammad Saeed, Pakseresht, Saeed. Resilient Natural Gas Transmission Network Design Optimization: A Case Study. , 1399; 54(3): 243-265. doi: 10.22059/jieng.2021.324800.1767

Resilient Natural Gas Transmission Network Design Optimization: A Case Study

Advances in Industrial Engineering
دوره 54، شماره 3، پاییز 2020، صفحه 243-265    اصل مقاله (1017.34 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2021.324800.1767
نویسندگان
Rozita Daghigh1؛ Mir Saman Pishvaee* 1؛ Mohammad Saeed Jabalameli1؛ Saeed Pakseresht2
1School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
2Research Institute of Petroleum Industry, Tehran, Iran
چکیده
Nowadays, designing the resilient natural gas transmission network is an important and essential issue for industry experts and policymakers due to great economic, health, security and social losses created by relevant disruptions. This paper develops a two-stage approach for the design of resilient natural gas (NG) transmission network. In the first stage, the risk of each pipeline route is calculated based on distances of diffusion concentration. In the second stage, a multi-objective mixed possibilistic-stochastic programming model is presented to enhance the resiliency of the natural gas network by utilizing proactive strategies such as parallel pipeline, fortification and back-up turbo compressor under demand uncertainty and disruption risks. In addition, the proposed model considers different failure modes of the pipeline. Finally, the model validation is done by the data of a real case study. Our analysis shows that the performance of natural gas transmission network is highly vulnerable to demand fluctuations. Also, results indicate that employing both pipeline fortification and back-up pipeline strategies have numerous impacts on the resiliency of NG network. Important managerial insights are obtained from the model implementation in a case study.
کلیدواژه‌ها
Natural Gas Transmission Network؛ Resiliency؛ Disruption Risks؛ Gas Leakage؛ Multi-Objective Optimization
مراجع
آمار
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