IDEAS home Printed from https://ideas.repec.org/a/gam/jcltec/v5y2023i2p25-496d1121756.html
   My bibliography  Save this article

Reduced Mechanism for Combustion of Ammonia and Natural Gas Mixtures

Author

Listed:
  • Aniket R. Khade

    (Flutura, 5858 Westheimer Suite 405, Houston, TX 77057, USA)

  • Vijaya D. Damodara

    (John Zink Hamworthy Combustion, 11920 E Apache St., Tulsa, OK 74116, USA)

  • Daniel H. Chen

    (Dan F. Smith Department of Chemical Engineering, Lamar University, Beaumont, TX 77710, USA)

Abstract

A fuel mixture of ammonia and natural gas as a low-carbon alternative for future power generation and transportation is an attractive option. In this work, a 50-species reduced mechanism, NH 3 NG, suitable for computational fluid dynamics simulations (CFD), is developed for ammonia–natural gas cofiring while addressing important emission issues, such as the formation of nitrogen oxides (NOx), soot, carbon monoxide, and unburnt methane/ammonia. The adoption of reduced mechanisms is imperative not only for saving computer storage and running time but also for numerical convergence for practical applications. The NH 3 NG reduced mechanism can predict soot emission because it includes soot precursor species. Further, it can handle heavier components in natural gas, such as ethane and propane. The absolute error is 5% for predicting NOx and CO emissions compared to the full Modified Konnov mechanism. Validation with key performance parameters (ignition delay, laminar flame speed, adiabatic temperature, and NOx and CO emissions) indicates that the predictions of the reduced mechanism NH 3 NG are in good agreement with published experimental data. The average prediction error of 13% for ignition delay is within typical experimental data uncertainties of 10–20%. The predicted adiabatic temperatures are within 1 °C. For laminar flame speed, the R 2 between prediction and data is 0.985. NH 3 NG over-predicts NOx and CO emissions, similar to all other literature methods, but the NOx predictions are closer to the experimental data.

Suggested Citation

  • Aniket R. Khade & Vijaya D. Damodara & Daniel H. Chen, 2023. "Reduced Mechanism for Combustion of Ammonia and Natural Gas Mixtures," Clean Technol., MDPI, vol. 5(2), pages 1-13, April.
    • Handle: RePEc:gam:jcltec:v:5:y:2023:i:2:p:25-496:d:1121756
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8797/5/2/25/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8797/5/2/25/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dan Fernandes & Song Wang & Qiang Xu & Russel Buss & Daniel Chen, 2019. "Process and Carbon Footprint Analyses of the Allam Cycle Power Plant Integrated with an Air Separation Unit," Clean Technol., MDPI, vol. 1(1), pages 1-16, October.
    2. Trop, P. & Goricanec, D., 2016. "Comparisons between energy carriers' productions for exploiting renewable energy sources," Energy, Elsevier, vol. 108(C), pages 155-161.
    Full references (including those not matched with items on IDEAS)

    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. Evangelia Pagona & Kyriaki Kalaitzidou & Vasileios Zaspalis & Anastasios Zouboulis & Manassis Mitrakas, 2022. "Effects of MgO and Fe 2 O 3 Addition for Upgrading the Refractory Characteristics of Magnesite Ore Mining Waste/By-Products," Clean Technol., MDPI, vol. 4(4), pages 1-24, October.
    2. Ali Javaid & Umer Javaid & Muhammad Sajid & Muhammad Rashid & Emad Uddin & Yasar Ayaz & Adeel Waqas, 2022. "Forecasting Hydrogen Production from Wind Energy in a Suburban Environment Using Machine Learning," Energies, MDPI, vol. 15(23), pages 1-13, November.
    3. Laib, I. & Hamidat, A. & Haddadi, M. & Ramzan, N. & Olabi, A.G., 2018. "Study and simulation of the energy performances of a grid-connected PV system supplying a residential house in north of Algeria," Energy, Elsevier, vol. 152(C), pages 445-454.
    4. Abdulaziz Alanazi & Mohana Alanazi, 2023. "Multicriteria Decision-Making for Evaluating Solar Energy Source of Saudi Arabia," Sustainability, MDPI, vol. 15(13), pages 1-37, June.
    5. Obara, Shin'ya, 2019. "Energy and exergy flows of a hydrogen supply chain with truck transportation of ammonia or methyl cyclohexane," Energy, Elsevier, vol. 174(C), pages 848-860.

    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:jcltec:v:5:y:2023:i:2:p:25-496:d:1121756. 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.