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Optimization of Integrated Systems for Natural Gas Production, Conversion, and Transportation

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Abstract

We consider the problem of nonlinear optimization of a complex engineering system of production, processing, and transport of energy carriers (ESPPTEs). We present general approaches to modeling individual elements of such a system and mathematical models of gas field development and pipeline section. We state the problem of optimization of system parameters over time. We consider an optimization case study for a system including gas fields, fuel co-production power generation systems for methanol synthesis and power generation, gas and methanol pipelines.

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References

  • Ahmadullin, K.R. (2005). Energy-saving technologies pipeline transport of oil products. Doctoral Dissertation in Engineering, Ufa State Petroleum Technological University, Ufa.

  • Al-Sobhi SA, Elkamel A (2015) Simulation and optimization of natural gas processing and production network consisting of LNG, GTL, and methanol facilities. Journal of Natural Gas Science and Engineering 23:500–508

    Article  Google Scholar 

  • Bebbington, M., Mantle, W., Bryans, R. (2017). Electricity network losses. CIRED – Open Access Proceedings Journal. 1, 2259–2262.

  • Bondarev EA, Rozhin II, Argunova KK (2017) Features of mathematical modeling of natural gas production and transport systems in the Russia’s arctic zone. Journal of Mining Institute 228:705–716

    Google Scholar 

  • Byrne, Ch. (2008). Sequential unconstrained minimization algorithms for constrained optimization. Inverse Problems. 24, 015013.

  • Chen Zh, Zhang T, Wang X, Chen H, Geng L, Zhang T (2021) A comparative study of combustion performance and emissions of dual-fuel engines fueled with natural gas/methanol and natural gas/gasoline. Energy 237:121586. https://doi.org/10.1016/j.energy.2021.121586

    Article  Google Scholar 

  • Chyong CK, Hobbs BF (2014) Strategic Eurasian natural gas market model for energy security and policy analysis: Formulation and application to South Stream. Energy Economics 44:198–211. https://doi.org/10.1016/j.eneco.2014.04.006

    Article  Google Scholar 

  • Darcy H (1856) Les fontaines publiques de la ville de Dijon. Victor Darmon, Paris

    Google Scholar 

  • Eser P, Chokani N, Abhari R (2019) Impact of Nord Stream 2 and LNG on gas trade and security of supply in the European gas network of 2030. Appl Energy 238:816–830. https://doi.org/10.1016/j.apenergy.2019.01.068

    Article  Google Scholar 

  • Fiacco, A.V., McCormick, G.P. (1990). Nonlinear Programming: Sequential Unconstrained Minimization Techniques. Society for Industrial and Applied Mathematics.

  • Ghorbani B, Ebrahimi A, Ziabasharhagh M (2020) Novel integrated CCHP system for generation of liquid methanol, power, cooling and liquid fuels using Kalina power cycle through liquefied natural gas regasification. Energy Convers Manage 221:113151. https://doi.org/10.1016/j.enconman.2020.113151

    Article  Google Scholar 

  • Hariti Ya, Hajji Yo, Hader A, Faraji H, Boughaleb Ya, Faraji M, Saifaoui D (2020) Modeling of fluid flow in porous media and filtering water process: Langevin dynamics and Darcy's law-based approach. Mater Today Proc 2020. https://doi.org/10.1016/j.matpr.2020.04.343

  • Heckmann W, Reimann T, Dasenbrock J, Scheidler A, Braun M, Barth H, Ma C, Hamann L (2013) Detailed analysis of network losses in a million customer distribution grid with high penetration of distributed generation. 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013). Stockholm, 1–4. https://doi.org/10.1049/cp.2013.1255

  • Ilinova A, Chanysheva A (2020) Algorithm for assessing the prospects of offshore oil and gas projects in the Arctic. Energy Rep 6:504–509

    Article  Google Scholar 

  • Kalugin YuI, Yakovlev VV, Kalugin AYu (2015) Mathematical modeling and optimization of gas-condensate field development. J Nat Gas Sci Eng 27(2):1195–1204. https://doi.org/10.1016/j.jngse.2015.09.063

    Article  Google Scholar 

  • Kayeshkov, I.S. (2014). The field-geophysical monitoring technology in the conditions of oil and gas reservoir parameters changing in time. Candidate's Dissertation in Engineering. National University of Oil and Gas, «Gubkin University», Moscow.

  • Khachaturov, V.R., Solomatin, A.N., Skiba. A.K.(2017) Modeling of gas fields development. Proceeding of MIPT. Journal of Science and Technology (State University). 9(3), 168–177.

  • Kler AM, Tyurina EA, Mednikov AS (2018) A plant for methanol and electricity production: Technical-economic analysis. Energy 165:890–899

    Article  Google Scholar 

  • Kler AM (Ed.) (2018) Effective methods of circuit-parametric optimization of complex heat power plants: development and application. Academic publishing house “Geo”, Novosibirsk

  • Kler AM, Tyurina EA (Ed.) (2016) Optimization studies of power plants and complexes. Academic publishing house “Geo”, Novosibirsk

  • Le Coq Ch, Paltseva E (2012) Assessing gas transit risks: Russia vs. the EU. Energy Policy 42:642–650. https://doi.org/10.1016/j.enpol.2011.12.037

    Article  Google Scholar 

  • Li T, Liu P, Li Zh (2019) Modelling and optimization of a natural gas supply system at a transient stage: a case study of China. BMC Energy 1(5):1–17

    Google Scholar 

  • Liu H, Qu J, Pan M, Zhang B, Chen Q, He Ch (2020) Design and optimization of small-scale methanol production from sour natural gas by integrating reforming with hydrogenation. Int J Hydrogen Energy 45(59):34483–34493. https://doi.org/10.1016/j.ijhydene.2019.11.229

    Article  Google Scholar 

  • Marušic-Paloka E, Pazanin I, Marušic S (2012) Comparison between Darcy and Brinkman laws in a fracture. Appl Math Comput 218:7538–7545

    MathSciNet  MATH  Google Scholar 

  • Ministry of energy. Russian federation (n.d.) https://minenergo.gov.ru/en [accessed 25 June 2021]

  • Opportunities and Perspectives for the Development of Gas Hubs in Russia (2020). https://energy.skolkovo.ru/downloads/documents/SEneC/Research/SKOLKOVO_EneC_RU_Gaz_Hubs_122020.pdf. [accessed 20 December 2021].

  • Osiadacz AJ, Chaczykowski M (2020) Modeling and Simulation of Gas Distribution Networks in a Multienergy System Environment. Proc IEEE 108(9):1580–1595. https://doi.org/10.1109/JPROC.2020.2989114

    Article  Google Scholar 

  • Paltsev S (2014) Scenarios for Russia’s natural gas exports to 2050. Energy Economics 42:262–270

    Article  Google Scholar 

  • Projects of Gazprom (n.d.) https://www.gazprom.com/projects/ [accessed 25 June 2021].

  • Réveillac, J. (2016). Optimization Tools for Logistics. ISTE Press – Elsevier.

  • Russian gas market (n.d.) https://www.gazprom.ru/about/marketing/russia/ [accessed 20 December 2021].

  • Shashi ME (2015) Transmission Pipeline Calculations and Simulations Manual. Gulf Professional Publishing, Elsevier

    Google Scholar 

  • Su H, Zio E, Zhang Z-J, Xiong C-Z, Dai Q-S, Wu Q-W, Zhang J-J (2021) Development of an integrated dynamic model for supply security and resilience analysis of natural gas pipeline network systems. Pet Sci. https://doi.org/10.1016/j.petsci.2021.10.002

    Article  Google Scholar 

  • The main coal deposits of Russia and their reserves (n.d.) http://www.mining-portal.ru/publish/osnovnyie-ugolnyie-basseynyi-rossii-i-ih-zapasyi/ [accessed 25 June 2021].

  • Vatansever V (2017) Is Russia building too many pipelines? Explaining Russia’s oil and gas export strategy. Energy Policy 108:1–11. https://doi.org/10.1016/j.enpol.2017.05.038

    Article  Google Scholar 

  • Wang F, Li G, Ma W, Wu Q, Serban M, Samsonova V, Fedorov A, Jiang N, Wang B (2019) Pipeline–permafrost interaction monitoring system along the China-Russia crude oil pipeline. Eng Geol 254:113–125. https://doi.org/10.1016/j.enggeo.2019.03.013

    Article  Google Scholar 

  • Well Productivity Handbook. (2008). Guo, B., Sun, K., Ghalambor, A. (Eds.), Gulf Publishing Company, Elsevier.

  • Yakovlev VV, Kalugin YuI, Kalugin AYu, Stepova NG (2019) Mathematical modelling of enhanced gas production. Journal of Petroleum Exploration and Production Technology 9:561–571

    Article  Google Scholar 

  • J. Zhou, T. Fu, Y. Chen, Y. Xiao, J. Peng, G. (2021). Liang. A mixed integer nonlinear programming model for optimal design of natural gas storage surface double-pipe network. Journal of Energy Storage. 44, Part A, 103379. https://doi.org/10.1016/j.est.2021.103379.

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Acknowledgements

The research was carried out under State Assignment of the Fundamental Research of Siberian Branch of the Russian Academy of Sciences (topic No. FWEU-2021-0005, No. AAAA-A21-121012190004-5).

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Authors and Affiliations

  1. Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences (ESI SB RAS), 130, Lermontov Str., Irkutsk, 664033, Russia

    Aleksandr Kler, Elina Tyurina & Aleksandr Mednikov

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  1. Aleksandr Kler
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  2. Elina Tyurina
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  3. Aleksandr Mednikov
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Correspondence to Aleksandr Mednikov.

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Kler, A., Tyurina, E. & Mednikov, A. Optimization of Integrated Systems for Natural Gas Production, Conversion, and Transportation. Process Integr Optim Sustain 6, 621–631 (2022). https://doi.org/10.1007/s41660-022-00233-7

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  • DOI: https://doi.org/10.1007/s41660-022-00233-7

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