IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v163y2018icp800-810.html
   My bibliography  Save this article

Autoignition and combustion behavior of emulsion droplet under elevated temperature and pressure conditions

Author

Listed:
  • Won, Jonghan
  • Baek, Seung Wook
  • Kim, Hyemin

Abstract

In this study, experiments were conducted to investigate the combustion characteristics of an water-in-oil W/O emulsion droplet under elevated temperature and pressure conditions. The base fuel used was n-decane, and total volume ratios of 10, 20, and 30% of distilled water were mixed for producing the emulsion fuel. Span 80 with a volume ratio of 2% was added as a surfactant, and the emulsion fuel was homogeneously mixed via ultrasonication. The combustion process of an emulsion droplet was divided into five stages: droplet heating, classical combustion, puffing, secondary classical combustion, and surfactant combustion. The ignition delay decreased with elevated ambient temperatures, whereas an increase in the ambient pressure and water volume ratio resulted in longer ignition delays. The droplets did not ignite in 500 °C or 600 °C conditions at 1 bar because of the significant Stefan flow of fuel vapor. After droplet ignition, the droplet combustion process, including classical combustion, puffing, and surfactant combustion, followed. The average burning rate increased with ambient pressure, but it was insensitive to ambient temperatures and water volume ratios. After flame extinction, a secondary flame reappeared because of the combustion of surfactant and residues.

Suggested Citation

  • Won, Jonghan & Baek, Seung Wook & Kim, Hyemin, 2018. "Autoignition and combustion behavior of emulsion droplet under elevated temperature and pressure conditions," Energy, Elsevier, vol. 163(C), pages 800-810.
    • Handle: RePEc:eee:energy:v:163:y:2018:i:c:p:800-810
    DOI: 10.1016/j.energy.2018.08.185
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218317213
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.08.185?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. Geng, Zhiqiang & Li, Hongda & Zhu, Qunxiong & Han, Yongming, 2018. "Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes," Energy, Elsevier, vol. 160(C), pages 898-909.
    2. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    3. Watanabe, Hirotatsu & Suzuki, Yoshiyuki & Harada, Takuji & Matsushita, Yohsuke & Aoki, Hideyuki & Miura, Takatoshi, 2010. "An experimental investigation of the breakup characteristics of secondary atomization of emulsified fuel droplet," Energy, Elsevier, vol. 35(2), pages 806-813.
    4. Geng, ZhiQiang & Qin, Lin & Han, YongMing & Zhu, QunXiong, 2017. "Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP," Energy, Elsevier, vol. 122(C), pages 350-362.
    5. Deng, Shengxiang & Zhou, Jiemin, 2011. "An experimental study of the effect of water content on combustion of coal tar/water emulsion droplets," Energy, Elsevier, vol. 36(10), pages 6130-6137.
    6. Geng, ZhiQiang & Dong, JunGen & Han, YongMing & Zhu, QunXiong, 2017. "Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes," Applied Energy, Elsevier, vol. 205(C), pages 465-476.
    7. Zhang, Xiaoqing & Li, Tie & Wang, Bin & Wei, Yijie, 2018. "Superheat limit and micro-explosion in droplets of hydrous ethanol-diesel emulsions at atmospheric pressure and diesel-like conditions," Energy, Elsevier, vol. 154(C), pages 535-543.
    8. Kim, Hyemin & Baek, Seung Wook, 2016. "Combustion of a single emulsion fuel droplet in a rapid compression machine," Energy, Elsevier, vol. 106(C), pages 422-430.
    9. Nguyen, Kim-Bao & Dan, Tomohisa & Asano, Ichiro, 2015. "Effect of double injection on combustion, performance and emissions of Jatropha water emulsion fueled direct-injection diesel engine," Energy, Elsevier, vol. 80(C), pages 746-755.
    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. Liang, Daolun & Ren, Ke & Wu, Zizhan & Jiang, Yangxu & Shen, Dekui & Li, Heping & Liu, Jianzhong, 2021. "Combustion characteristics of oxygenated slurry droplets of nano-Al/EtOH and nano-Al/TPGME blends," Energy, Elsevier, vol. 220(C).
    2. Zhou, Dongdong & Cheng, Shusen, 2019. "Measurement study of the PCI process on the temperature distribution in raceway zone of blast furnace by using digital imaging techniques," Energy, Elsevier, vol. 174(C), pages 814-822.
    3. Miliauskas, G. & Maziukienė, M. & Jouhara, H. & Poškas, R., 2019. "Investigation of mass and heat transfer transitional processes of water droplets in wet gas flow in the framework of energy recovery technologies for biofuel combustion and flue gas removal," Energy, Elsevier, vol. 173(C), pages 740-754.
    4. Jonghan Won & Seung Wook Baek & Hyemin Kim & Hookyung Lee, 2019. "The Viscosity and Combustion Characteristics of Single-Droplet Water-Diesel Emulsion," Energies, MDPI, vol. 12(10), pages 1-12, May.
    5. Zhang, Yu & Huang, Ronghua & Chen, Xi & Qin, Tian & Huang, Sheng & Zhou, Pei & Lou, Chun, 2019. "Experimental study on auto-ignition characteristics of a butanol-hexadecane droplet under elevated pressures and temperatures," Energy, Elsevier, vol. 171(C), pages 654-665.

    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. Zhao, Bin & Ren, Yi & Gao, Diankui & Xu, Lizhi & Zhang, Yuanyuan, 2019. "Energy utilization efficiency evaluation model of refining unit Based on Contourlet neural network optimized by improved grey optimization algorithm," Energy, Elsevier, vol. 185(C), pages 1032-1044.
    2. Zendehboudi, Sohrab & Rezaei, Nima & Lohi, Ali, 2018. "Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review," Applied Energy, Elsevier, vol. 228(C), pages 2539-2566.
    3. Letnik, Tomislav & Marksel, Maršenka & Luppino, Giuseppe & Bardi, Andrea & Božičnik, Stane, 2018. "Review of policies and measures for sustainable and energy efficient urban transport," Energy, Elsevier, vol. 163(C), pages 245-257.
    4. Deng, Yuanwang & Liu, Huawei & Zhao, Xiaohuan & E, Jiaqiang & Chen, Jianmei, 2018. "Effects of cold start control strategy on cold start performance of the diesel engine based on a comprehensive preheat diesel engine model," Applied Energy, Elsevier, vol. 210(C), pages 279-287.
    5. Alexander Kramer & Fernando Morgado‐Dias, 2020. "Artificial intelligence in process control applications and energy saving: a review and outlook," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(6), pages 1133-1150, December.
    6. Han, Dandan & E, Jiaqiang & Deng, Yuanwang & Chen, Jingwei & Leng, Erwei & Liao, Gaoliang & Zhao, Xiaohuan & Feng, Changling & Zhang, Feng, 2021. "A review of studies using hydrocarbon adsorption material for reducing hydrocarbon emissions from cold start of gasoline engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Han, Yongming & Wu, Hao & Geng, Zhiqiang & Zhu, Qunxiong & Gu, Xiangbai & Yu, Bin, 2020. "Review: Energy efficiency evaluation of complex petrochemical industries," Energy, Elsevier, vol. 203(C).
    8. Kim, Hyemin & Baek, Seung Wook, 2016. "Combustion of a single emulsion fuel droplet in a rapid compression machine," Energy, Elsevier, vol. 106(C), pages 422-430.
    9. Wang, Jigang & Qiao, Xinqi & Ju, Dehao & Wang, Lintao & Sun, Chunhua, 2019. "Experimental study on the evaporation and micro-explosion characteristics of nanofuel droplet at dilute concentrations," Energy, Elsevier, vol. 183(C), pages 149-159.
    10. Dhahad, Hayder A. & Chaichan, Miqdam T. & Megaritis, T., 2019. "Performance, regulated and unregulated exhaust emission of a stationary compression ignition engine fueled by water-ULSD emulsion," Energy, Elsevier, vol. 181(C), pages 1036-1050.
    11. Azarpour, Abbas & Mohamadi-Baghmolaei, Mohamad & Hajizadeh, Abdollah & Zendehboudi, Sohrab, 2022. "Systematic energy and exergy assessment of a hydropurification process: Theoretical and practical insights," Energy, Elsevier, vol. 239(PC).
    12. de Wildt, Tristan E. & Chappin, Emile J.L. & van de Kaa, Geerten & Herder, Paulien M., 2018. "A comprehensive approach to reviewing latent topics addressed by literature across multiple disciplines," Applied Energy, Elsevier, vol. 228(C), pages 2111-2128.
    13. Paweł Niszczota & Maciej Chmielewski & Marian Gieras, 2022. "Fuel-Water Emulsion as an Alternative Fuel for Gas Turbines in the Context of Combustion Process Properties—A Review," Energies, MDPI, vol. 15(23), pages 1-21, November.
    14. Li, Shunxi & Su, Bowen & St-Pierre, David L. & Sui, Pang-Chieh & Zhang, Guofang & Xiao, Jinsheng, 2017. "Decision-making of compressed natural gas station siting for public transportation: Integration of multi-objective optimization, fuzzy evaluating, and radar charting," Energy, Elsevier, vol. 140(P1), pages 11-17.
    15. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    16. Fang, Ping & Fu, Wenlong & Wang, Kai & Xiong, Dongzhen & Zhang, Kai, 2022. "A compositive architecture coupling outlier correction, EWT, nonlinear Volterra multi-model fusion with multi-objective optimization for short-term wind speed forecasting," Applied Energy, Elsevier, vol. 307(C).
    17. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.
    18. 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).
    19. Zhang, Yue & Zhang, Qi & Farnoosh, Arash & Chen, Siyuan & Li, Yan, 2019. "GIS-Based Multi-Objective Particle Swarm Optimization of charging stations for electric vehicles," Energy, Elsevier, vol. 169(C), pages 844-853.
    20. Fonseca, Juan D. & Commenge, Jean-Marc & Camargo, Mauricio & Falk, Laurent & Gil, Iván D., 2021. "Sustainability analysis for the design of distributed energy systems: A multi-objective optimization approach," Applied Energy, Elsevier, vol. 290(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:eee:energy:v:163:y:2018:i:c:p:800-810. 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.