IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i19p2351-d640649.html
   My bibliography  Save this article

Modelling the Process of Production of Diesel Fuels by the Use of Generalized Nets

Author

Listed:
  • Danail Dichev Stratiev

    (Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 105, 1113 Sofia, Bulgaria
    These authors contributed equally to this work.)

  • Dicho Stratiev

    (LUKOIL Neftohim Burgas, 8104 Burgas, Bulgaria
    These authors contributed equally to this work.)

  • Krassimir Atanassov

    (Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Block 105, 1113 Sofia, Bulgaria
    Intelligent Systems Laboratory, Prof. Asen Zlatarov University, 1, “Prof. Yakimov” Blvd, 8010 Burgas, Bulgaria
    These authors contributed equally to this work.)

Abstract

The process of commodity diesel fuel production in a refinery has been modelled by the use of the Generalized Net (GN) apparatus. GNs are extensions of Petri nets and of all their modifications and extensions. The model accounts for the orders of different grades of diesel fuel and the available amounts of the different diesel fuel components. It can be used for the synchronization and optimization of these processes.

Suggested Citation

  • Danail Dichev Stratiev & Dicho Stratiev & Krassimir Atanassov, 2021. "Modelling the Process of Production of Diesel Fuels by the Use of Generalized Nets," Mathematics, MDPI, vol. 9(19), pages 1-10, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2351-:d:640649
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/19/2351/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/19/2351/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chen, Ruoran & Deng, Tianhu & Huang, Simin & Qin, Ruwen, 2015. "Optimal crude oil procurement under fluctuating price in an oil refinery," European Journal of Operational Research, Elsevier, vol. 245(2), pages 438-445.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Danail D. Stratiev & Angel Dimitriev & Dicho Stratiev & Krassimir Atanassov, 2023. "Modeling the Production Process of Fuel Gas, LPG, Propylene, and Polypropylene in a Petroleum Refinery Using Generalized Nets," Mathematics, MDPI, vol. 11(17), pages 1-17, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zéphyr, Luckny & Lang, Pascal & Lamond, Bernard F. & Côté, Pascal, 2017. "Approximate stochastic dynamic programming for hydroelectric production planning," European Journal of Operational Research, Elsevier, vol. 262(2), pages 586-601.
    2. Nadarajah, Selvaprabu & Secomandi, Nicola, 2023. "A review of the operations literature on real options in energy," European Journal of Operational Research, Elsevier, vol. 309(2), pages 469-487.
    3. Wang, Shuang & Wallace, Stein W. & Lu, Jing & Gu, Yewen, 2020. "Handling financial risks in crude oil imports: Taking into account crude oil prices as well as country and transportation risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    4. Liu, Jiangfeng & Zhang, Qi & Li, Hailong & Chen, Siyuan & Teng, Fei, 2022. "Investment decision on carbon capture and utilization (CCU) technologies—A real option model based on technology learning effect," Applied Energy, Elsevier, vol. 322(C).
    5. Bradley T. Ewing & Mark A. Thompson, 2018. "Modeling the Response of Gasoline-Crude Oil Price Crack Spread Macroeconomic Shocks," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 46(2), pages 203-213, June.
    6. Caldeira, Carla & Swei, Omar & Freire, Fausto & Dias, Luis C. & Olivetti, Elsa A. & Kirchain, Randolph, 2019. "Planning strategies to address operational and price uncertainty in biodiesel production," Applied Energy, Elsevier, vol. 238(C), pages 1573-1581.
    7. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.
    8. Kumar, Sourabh & Barua, Mukesh Kumar, 2022. "A modeling framework and analysis of challenges faced by the Indian petroleum supply chain," Energy, Elsevier, vol. 239(PE).
    9. Kumar, Sourabh & Kumar Barua, Mukesh, 2022. "Modeling and investigating the interaction among risk factors of the sustainable petroleum supply chain," Resources Policy, Elsevier, vol. 79(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2351-:d:640649. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.