IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v93y2015ip1p458-465.html
   My bibliography  Save this article

Modeling of combustion of gas oil and natural gas in a furnace: Comparison of combustion characteristics

Author

Listed:
  • Azimi, Seyyed Shahabeddin
  • Namazi, Mohammad Hosain

Abstract

This paper deals with a furnace which its fuel (gas oil) is replaced by natural gas in such a way that the flue gas temperature and the rate of heat removal from the furnace are remained unchanged. The question now is: what are the benefits due to replacement of the fuel of the furnace? The objective of this work is to answer this question. Modeling the furnace similar to a continuous flow stirred-tank reactor, the computational results show that the production of NO for equivalent natural gas is considerably less than that for gas oil. It is also obtained that the production rates of CO2 for both gas oil and natural gas are approximately close together. Considerable cost reduction is obtained by using natural gas in gas oil furnaces.

Suggested Citation

  • Azimi, Seyyed Shahabeddin & Namazi, Mohammad Hosain, 2015. "Modeling of combustion of gas oil and natural gas in a furnace: Comparison of combustion characteristics," Energy, Elsevier, vol. 93(P1), pages 458-465.
  • Handle: RePEc:eee:energy:v:93:y:2015:i:p1:p:458-465
    DOI: 10.1016/j.energy.2015.09.061
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215012712
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2015.09.061?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Say, Nuriye Peker & Yucel, Muzaffer, 2006. "Energy consumption and CO2 emissions in Turkey: Empirical analysis and future projection based on an economic growth," Energy Policy, Elsevier, vol. 34(18), pages 3870-3876, December.
    2. Aydin, Gokhan, 2014. "Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 382-389.
    3. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    4. Azadeh, A. & Tarverdian, S., 2007. "Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption," Energy Policy, Elsevier, vol. 35(10), pages 5229-5241, October.
    5. Fan, J.R. & Liang, X.H. & Xu, Q.S. & Zhang, X.Y. & Cen, K.F., 1997. "Numerical simulation of the flow and combustion processes in a three-dimensional, w-shaped boiler furnace," Energy, Elsevier, vol. 22(8), pages 847-857.
    6. Köne, Aylin Çigdem & Büke, Tayfun, 2010. "Forecasting of CO2 emissions from fuel combustion using trend analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2906-2915, December.
    7. Zhou, Hao & Cen, Kefa & Fan, Jianren, 2004. "Modeling and optimization of the NOx emission characteristics of a tangentially fired boiler with artificial neural networks," Energy, Elsevier, vol. 29(1), pages 167-183.
    8. Afgan, Naim H. & Carvalho, Maria G. & Hovanov, Nikolai V., 2000. "Energy system assessment with sustainability indicators," Energy Policy, Elsevier, vol. 28(9), pages 603-612, July.
    9. Utgikar, V.P. & Scott, J.P., 2006. "Energy forecasting: Predictions, reality and analysis of causes of error," Energy Policy, Elsevier, vol. 34(17), pages 3087-3092, November.
    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. Aydin, Gokhan, 2014. "Modeling of energy consumption based on economic and demographic factors: The case of Turkey with projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 382-389.
    2. Ali, E.S. & Abd Elazim, S.M. & Abdelaziz, A.Y., 2016. "Ant Lion Optimization Algorithm for Renewable Distributed Generations," Energy, Elsevier, vol. 116(P1), pages 445-458.
    3. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Sualp, M. Nedim, 2016. "How did the US economy react to shale gas production revolution? An advanced time series approach," Energy, Elsevier, vol. 116(P1), pages 963-977.
    4. Golberg, Alexander, 2015. "Environmental exergonomics for sustainable design and analysis of energy systems," Energy, Elsevier, vol. 88(C), pages 314-321.
    5. Liao, Shujie & Wang, Fengxia & Wu, Ting & Pan, Wei, 2016. "Crude oil price decision under considering emergency and release of strategic petroleum reserves," Energy, Elsevier, vol. 102(C), pages 436-443.
    6. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Qian, Shuqu & Zhang, Mingming, 2016. "Dispatching strategies for coordinating environmental awareness and risk perception in wind power integrated system," Energy, Elsevier, vol. 106(C), pages 453-463.
    7. Qiao, Weibiao & Liu, Wei & Liu, Enbin, 2021. "A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S," Energy, Elsevier, vol. 235(C).
    8. Xu, Mengmeng & Lin, Boqiang & Wang, Siquan, 2021. "Towards energy conservation by improving energy efficiency? Evidence from China’s metallurgical industry," Energy, Elsevier, vol. 216(C).
    9. Zhou, Yinbo & Li, Hansheng & Huang, Jilei & Zhang, Ruilin & Wang, Shijie & Hong, Yidu & Yang, Yongliang, 2021. "Influence of coal deformation on the Knudsen number of gas flow in coal seams," Energy, Elsevier, vol. 233(C).
    10. Atherton, John & Xie, Wanni & Aditya, Leonardus Kevin & Zhou, Xiaochi & Karmakar, Gourab & Akroyd, Jethro & Mosbach, Sebastian & Lim, Mei Qi & Kraft, Markus, 2021. "How does a carbon tax affect Britain’s power generation composition?," Applied Energy, Elsevier, vol. 298(C).
    11. Ying, Zhou & Xin-gang, Zhao, 2021. "The impact of Renewable Portfolio Standards on carbon emission trading under the background of China’s electricity marketization reform," Energy, Elsevier, vol. 226(C).
    12. Hakan Cetintas & I. Murat Bicil & Kumru Turkoz, 2017. "Turkiye'de Enerji Uretiminde Fosil Yakit Kullanimi ve CO2 Emisyonu Iliskisi: Bir Senaryo Analizi," EconWorld Working Papers 17002, WERI-World Economic Research Institute, revised Mar 2017.
    13. Kim, Hyung Woo & Seo, Su Been & Kang, Seo Yeong & Go, Eun Sol & Oh, Seung Seok & Lee, YongWoon & Yang, Won & Lee, See Hoon, 2021. "Effect of flue gas recirculation on efficiency of an indirect supercritical CO2 oxy-fuel circulating fluidized bed power plant," Energy, Elsevier, vol. 227(C).
    14. Song, Rui & Feng, Xiaoyu & Wang, Yao & Sun, Shuyu & Liu, Jianjun, 2021. "Dissociation and transport modeling of methane hydrate in core-scale sandy sediments: A comparative study," Energy, Elsevier, vol. 221(C).
    15. You, Junyu & Ampomah, William & Sun, Qian, 2020. "Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework," Applied Energy, Elsevier, vol. 279(C).
    16. Hong Chang & Wei Sun & Xingsheng Gu, 2013. "Forecasting Energy CO 2 Emissions Using a Quantum Harmony Search Algorithm-Based DMSFE Combination Model," Energies, MDPI, vol. 6(3), pages 1-22, March.
    17. Shen, Peiliang & Jiang, Yi & Zhang, Yangyang & Liu, Songhui & Xuan, Dongxing & Lu, Jianxin & Zhang, Shipeng & Poon, Chi Sun, 2023. "Production of aragonite whiskers by carbonation of fine recycled concrete wastes: An alternative pathway for efficient CO2 sequestration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    18. Rafiee, A. & Dias, E. & Koomen, E., 2019. "Analysing the impact of spatial context on the heat consumption of individual households," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 461-470.
    19. Li, Fengyun & Zheng, Haofeng & Li, Xingmei & Yang, Fei, 2021. "Day-ahead city natural gas load forecasting based on decomposition-fusion technique and diversified ensemble learning model," Applied Energy, Elsevier, vol. 303(C).
    20. Miaomiao Tao & Pierre Failler & Lim Thye Goh & Wee Yeap Lau & Hanghang Dong & Liang Xie, 2022. "Quantify the Effect of China’s Emission Trading Scheme on Low-carbon Eco-efficiency: Evidence from China’s 283 Cities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-33, August.

    More about this item

    Keywords

    CO2 production; Energy cost; Gas oil; Natural gas; NO production;
    All these keywords.

    JEL classification:

    Statistics

    Access and download statistics

    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:eee:energy:v:93:y:2015:i:p1:p:458-465. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.