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Copyright © 2022 - Code By LIT COURSE TEAM
TY - JOUR AU - Gharieb Mohammad, Nourhan El. AU - Rawash, Yassmen Youssef AU - Aly, Said Mohamed AU - Awad, Mostafa El Sayed AU - Hussein Mohamed, Mostafa Hassanein PY - 2023/08/25 Y2 - 2024/10/18 TI - Enhancing gas pipeline network efficiency through VIKOR method JF - Decision Making: Applications in Management and Engineering JA - Decis. Mak. Appl. Manag. Eng. VL - 6 IS - 2 SE - Regular articles DO - 10.31181/dmame622023868 UR - https://dmame-journal.org/index.php/dmame/article/view/868 SP - 853-879 AB - <p class="DMAMEabstract" style="margin: 0cm 21.6pt .0001pt 21.6pt;"><a name="_Hlk142684744"></a>The optimization of gas pipeline networks is critical for efficient and cost-effective transportation of natural gas. This study develops a mathematical model capable of analyzing different network configurations, including branched and branched-cyclic topologies, to explore the optimization of gas pipeline network conditions. The research provides valuable insights into the gas pipeline network optimization process, empowering industry stakeholders to make informed decisions and enhance performance in terms of efficiency, reliability, and cost-effectiveness. To attain these objectives, this study utilizes advanced simulation tools, state-of-the-art optimization algorithms, and sophisticated mathematical models that accurately represent the network's behavior. The optimization process aims to minimize the network's power requirements while simultaneously maximizing gas flow rate and optimizing line pack, ensuring optimal utilization of the pipeline infrastructure. The VIKOR (VIekriterijumsko KOmpromisno Rangiranje) method is identifying the most optimal network configuration and operating conditions. Our analysis applies this approach to three case studies, demonstrating its effectiveness in identifying the best network configurations. Additionally, the calculations of total cost and fuel consumption coincide with relative closeness, which confirms the accuracy of our proposed method, whereas optimal scenarios of the three cases have the minimum total cost among all scenarios. In conclusion, this research successfully develops a mathematical model and optimization approach to tackle the complexities of gas pipeline network optimization. The application of The VIKOR method and the analysis of case studies offer substantial evidence of its effectiveness.</p> ER -