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Dynamic optimization of natural gas networks under customer demand uncertainties

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  • Ahmadian Behrooz, Hesam
  • Boozarjomehry, R. Bozorgmehry

Abstract

In natural gas transmission networks, the efficiency of daily operation is strongly dependent on our knowledge about the customer future demands. Unavailability of accurate demand forecasts makes it more important to be able to characterize the loads and quantify the corresponding uncertainty.

Suggested Citation

  • Ahmadian Behrooz, Hesam & Boozarjomehry, R. Bozorgmehry, 2017. "Dynamic optimization of natural gas networks under customer demand uncertainties," Energy, Elsevier, vol. 134(C), pages 968-983.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:968-983
    DOI: 10.1016/j.energy.2017.06.087
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    2. Zhou, Dengji & Jia, Xingyun & Ma, Shixi & Shao, Tiemin & Huang, Dawen & Hao, Jiarui & Li, Taotao, 2022. "Dynamic simulation of natural gas pipeline network based on interpretable machine learning model," Energy, Elsevier, vol. 253(C).
    3. Wen, Kai & Jiao, Jianfeng & Zhao, Kang & Yin, Xiong & Liu, Yuan & Gong, Jing & Li, Cuicui & Hong, Bingyuan, 2023. "Rapid transient operation control method of natural gas pipeline networks based on user demand prediction," Energy, Elsevier, vol. 264(C).
    4. Chen, Ying & Koch, Thorsten & Zakiyeva, Nazgul & Zhu, Bangzhu, 2020. "Modeling and forecasting the dynamics of the natural gas transmission network in Germany with the demand and supply balance constraint," Applied Energy, Elsevier, vol. 278(C).
    5. Corrado lo Storto, 2019. "An SNA-DEA Prioritization Framework to Identify Critical Nodes of Gas Networks: The Case of the US Interstate Gas Infrastructure," Energies, MDPI, vol. 12(23), pages 1-18, December.
    6. Sukharev, Mikhail G. & Kosova, Ksenia O. & Popov, Ruslan V., 2019. "Mathematical and computer models for identification and optimal control of large-scale gas supply systems," Energy, Elsevier, vol. 184(C), pages 113-122.
    7. Yu, Weichao & Gong, Jing & Song, Shangfei & Huang, Weihe & Li, Yichen & Zhang, Jie & Hong, Bingyuan & Zhang, Ye & Wen, Kai & Duan, Xu, 2019. "Gas supply reliability analysis of a natural gas pipeline system considering the effects of underground gas storages," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    8. Yu, Weichao & Song, Shangfei & Li, Yichen & Min, Yuan & Huang, Weihe & Wen, Kai & Gong, Jing, 2018. "Gas supply reliability assessment of natural gas transmission pipeline systems," Energy, Elsevier, vol. 162(C), pages 853-870.
    9. Shukla, Gaurav & Chaturvedi, Nitin Dutt, 2023. "Targeting compression work in hydrogen allocation network with parametric uncertainties," Energy, Elsevier, vol. 262(PA).
    10. Zarei, Javad & Amin-Naseri, Mohammad Reza, 2019. "An integrated optimization model for natural gas supply chain," Energy, Elsevier, vol. 185(C), pages 1114-1130.
    11. Pantula, Priyanka D. & Mitra, Kishalay, 2019. "A data-driven approach towards finding closer estimates of optimal solutions under uncertainty for an energy efficient steel casting process," Energy, Elsevier, vol. 189(C).
    12. Olfati, Mohammad & Bahiraei, Mehdi & Veysi, Farzad, 2019. "A novel modification on preheating process of natural gas in pressure reduction stations to improve energy consumption, exergy destruction and CO2 emission: Preheating based on real demand," Energy, Elsevier, vol. 173(C), pages 598-609.
    13. Sukharev, Mikhail G. & Kulalaeva, Maria A., 2021. "Identification of model flow parameters and model coefficients with the help of integrated measurements of pipeline system operation parameters," Energy, Elsevier, vol. 232(C).
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