IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i2p362-d130148.html
   My bibliography  Save this article

Simulation-Optimization Framework for Synthesis and Design of Natural Gas Downstream Utilization Networks

Author

Listed:
  • Saad A. Al-Sobhi

    (Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
    Department of Chemical Engineering, Qatar University, Doha 2713, Qatar)

  • Ali Elkamel

    (Department of Chemical Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
    Department of Chemical Engineering, The Petroleum Institute, Khalifa University of Science & Technology, Abu Dhabi 2533, UAE)

  • Fatih S. Erenay

    (Department of Management Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

  • Munawar A. Shaik

    (Department of Chemical Engineering, The Petroleum Institute, Khalifa University of Science & Technology, Abu Dhabi 2533, UAE
    Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India)

Abstract

Many potential diversification and conversion options are available for utilization of natural gas resources, and several design configurations and technology choices exist for conversion of natural gas to value-added products. Therefore, a detailed mathematical model is desirable for selection of optimal configuration and operating mode among the various options available. In this study, we present a simulation-optimization framework for the optimal selection of economic and environmentally sustainable pathways for natural gas downstream utilization networks by optimizing process design and operational decisions. The main processes (e.g., LNG, GTL, and methanol production), along with different design alternatives in terms of flow-sheeting for each main processing unit (namely syngas preparation, liquefaction, N 2 rejection, hydrogen, FT synthesis, methanol synthesis, FT upgrade, and methanol upgrade units), are used for superstructure development. These processes are simulated using ASPEN Plus V7.3 to determine the yields of different processing units under various operating modes. The model has been applied to maximize total profit of the natural gas utilization system with penalties for environmental impact, represented by CO 2eq emission obtained using ASPEN Plus for each flowsheet configuration and operating mode options. The performance of the proposed modeling framework is demonstrated using a case study.

Suggested Citation

  • Saad A. Al-Sobhi & Ali Elkamel & Fatih S. Erenay & Munawar A. Shaik, 2018. "Simulation-Optimization Framework for Synthesis and Design of Natural Gas Downstream Utilization Networks," Energies, MDPI, vol. 11(2), pages 1-19, February.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:362-:d:130148
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/2/362/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/2/362/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas, Sydney & Dawe, Richard A, 2003. "Review of ways to transport natural gas energy from countries which do not need the gas for domestic use," Energy, Elsevier, vol. 28(14), pages 1461-1477.
    2. Ramberg, David J. & Henry Chen, Y.H. & Paltsev, Sergey & Parsons, John E., 2017. "The economic viability of gas-to-liquids technology and the crude oil–natural gas price relationship," Energy Economics, Elsevier, vol. 63(C), pages 13-21.
    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. Noor Yusuf & Tareq Al-Ansari, 2023. "Current and Future Role of Natural Gas Supply Chains in the Transition to a Low-Carbon Hydrogen Economy: A Comprehensive Review on Integrated Natural Gas Supply Chain Optimisation Models," Energies, MDPI, vol. 16(22), pages 1-33, November.
    2. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, 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. Muhammad Sajid & Farhan Ahmed & Shafique Ahmed & Aadil Panhwar, 2018. "Viability of Liquefied Natural Gas (LNG) in Pakistan," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 146-154.
    2. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    3. Hamidzadeh, Zeinab & Sattari, Sourena & Soltanieh, Mohammad & Vatani, Ali, 2020. "Development of a multi-objective decision-making model to recover flare gases in a multi flare gases zone," Energy, Elsevier, vol. 203(C).
    4. Mofid, Hossein & Jazayeri-Rad, Hooshang & Shahbazian, Mehdi & Fetanat, Abdolvahhab, 2019. "Enhancing the performance of a parallel nitrogen expansion liquefaction process (NELP) using the multi-objective particle swarm optimization (MOPSO) algorithm," Energy, Elsevier, vol. 172(C), pages 286-303.
    5. Gomes Relva, Stefania & Oliveira da Silva, Vinícius & Peyerl, Drielli & Veiga Gimenes, André Luiz & Molares Udaeta, Miguel Edgar, 2020. "Regulating the electro-energetic use of natural gas by gas-to-wire offshore technology: Case study from Brazil," Utilities Policy, Elsevier, vol. 66(C).
    6. Sanya Du & Yixin Qu & Hui Li & Xiaohui Yu, 2022. "Methane Adsorption Properties in Biomaterials: A Possible Route to Gas Storage and Transportation," Energies, MDPI, vol. 15(12), pages 1-14, June.
    7. Kim, Juwon & Seo, Youngkyun & Chang, Daejun, 2016. "Economic evaluation of a new small-scale LNG supply chain using liquid nitrogen for natural-gas liquefaction," Applied Energy, Elsevier, vol. 182(C), pages 154-163.
    8. Brito, T.L.F. & Galvão, C. & Fonseca, A.F. & Costa, H.K.M. & Moutinho dos Santos, E., 2022. "A review of gas-to-wire (GtW) projects worldwide: State-of-art and developments," Energy Policy, Elsevier, vol. 163(C).
    9. Rodrigues, A.C.C., 2022. "Decreasing natural gas flaring in Brazilian oil and gas industry," Resources Policy, Elsevier, vol. 77(C).
    10. Takeya, Satoshi & Mimachi, Hiroko & Murayama, Tetsuro, 2018. "Methane storage in water frameworks: Self-preservation of methane hydrate pellets formed from NaCl solutions," Applied Energy, Elsevier, vol. 230(C), pages 86-93.
    11. Guo, Hao & Tang, Qixiong & Gong, Maoqiong & Cheng, Kuiwei, 2018. "Optimization of a novel liquefaction process based on Joule–Thomson cycle utilizing high-pressure natural gas exergy by genetic algorithm," Energy, Elsevier, vol. 151(C), pages 696-706.
    12. Khalilpour, Rajab & Karimi, I.A., 2012. "Evaluation of utilization alternatives for stranded natural gas," Energy, Elsevier, vol. 40(1), pages 317-328.
    13. Xu, Jiuping & Tang, Min & Liu, Tingting & Fan, Lurong, 2024. "Technological paradigm-based development strategy towards natural gas hydrate technology," Energy, Elsevier, vol. 289(C).
    14. Cao, Yan & Mohammadian, Mehrnoush & Pirouzfar, Vahid & Su, Chia-Hung & Khan, Afrasyab, 2021. "Break Even Point analysis of liquefied natural gas process and optimization of its refrigeration cycles with technical and economic considerations," Energy, Elsevier, vol. 237(C).
    15. Castelo Branco, David A. & Szklo, Alexandre S. & Schaeffer, Roberto, 2010. "Co2e emissions abatement costs of reducing natural gas flaring in Brazil by investing in offshore GTL plants producing premium diesel," Energy, Elsevier, vol. 35(1), pages 158-167.
    16. Saghi Raeisdanaei & Vahid Pirouzfar & Chia-Hung Su, 2022. "Technical and economic assessment of processes for the LNG production in cycles with expander and refrigeration," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13407-13425, November.
    17. Sun, Qibei & Kang, Yong Tae, 2016. "Review on CO2 hydrate formation/dissociation and its cold energy application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 478-494.
    18. Szoplik, Jolanta, 2016. "Improving the natural gas transporting based on the steady state simulation results," Energy, Elsevier, vol. 109(C), pages 105-116.
    19. Egging, Ruud & Holz, Franziska & Gabriel, Steven A., 2010. "The World Gas Model," Energy, Elsevier, vol. 35(10), pages 4016-4029.
    20. Raghoo, Pravesh & Surroop, Dinesh & Wolf, Franziska, 2017. "Natural gas to improve energy security in Small Island Developing States: A techno-economic analysis," Development Engineering, Elsevier, vol. 2(C), pages 92-98.

    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:jeners:v:11:y:2018:i:2:p:362-:d:130148. 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.