IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v252y2022ics0360544222010143.html
   My bibliography  Save this article

Numerical study of fuel-NO formation and reduction in a reversed flow MILD combustion furnace firing ammonia-doped methane

Author

Listed:
  • Wang, Qiangxiang
  • Xie, Mengqian
  • Tu, Yaojie
  • Liu, Hao
  • Li, Weijie

Abstract

Moderate or intense low-oxygen dilution (MILD) combustion is well-known for its high potential of reducing thermal-NO formation during combustion, but its capability of mitigating fuel-NO formation is still elusive. To provide new insights into this aspect, this paper numerically studies the fuel-NO formation characteristics under CH4/NH3 MILD combustion in a lab-scale reversed flow furnace by computational fluid dynamics (CFD) modeling with NH3 volume fraction varying from 0% to 4%. It is found that, the overall NO emission at the furnace outlet increases as the initial NH3 concentration rises under both MILD combustion and traditional bluff-body stabilized combustion mode, however, fuel-NO conversion ratio gradually drops. In the present reversed flow furnace, there exists a critical value (1.4%) for the initial NH3 volume fraction, above which MILD combustion loses the advantage of generating lower NO emission in comparison with the traditional combustion operation. However, this critical value would be case-dependent and should be further re-evaluated for different combustors. In the current combustion system, the lower NO emission under traditional combustion when firing higher NH3 doping fuels is caused by the enhanced NO reduction via both CHi reburning and NO2 interconversion routes, which occurs on the outer and inner sides of the flame front, respectively. For MILD combustion, the weakening of CHi reburning in the outer side of reaction zone causes the higher NO emission when initial NH3 concentration exceeds the critical value.

Suggested Citation

  • Wang, Qiangxiang & Xie, Mengqian & Tu, Yaojie & Liu, Hao & Li, Weijie, 2022. "Numerical study of fuel-NO formation and reduction in a reversed flow MILD combustion furnace firing ammonia-doped methane," Energy, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:energy:v:252:y:2022:i:c:s0360544222010143
    DOI: 10.1016/j.energy.2022.124111
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222010143
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124111?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. Kuang, Yucheng & He, Boshu & Wang, Chaojun & Tong, Wenxiao & He, Di, 2021. "Numerical analyses of MILD and conventional combustions with the Eddy Dissipation Concept (EDC)," Energy, Elsevier, vol. 237(C).
    2. Tu, Yaojie & Xu, Shunta & Xu, Mingchen & Liu, Hao & Yang, Wenming, 2020. "Numerical study of methane combustion under moderate or intense low-oxygen dilution regime at elevated pressure conditions up to 8 atm," Energy, Elsevier, vol. 197(C).
    3. Cai, Tao & Zhao, Dan & Sun, Yuze & Ni, Siliang & Li, Weixuan & Guan, Di & Wang, Bing, 2021. "Evaluation of NOx emissions characteristics in a CO2-Free micro-power system by implementing a perforated plate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    4. Cai, Tao & Zhao, Dan, 2022. "Enhancing and assessing ammonia-air combustion performance by blending with dimethyl ether," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    5. Sorrentino, Giancarlo & Sabia, Pino & Bozza, Pio & Ragucci, Raffaele & de Joannon, Mara, 2019. "Low-NOx conversion of pure ammonia in a cyclonic burner under locally diluted and preheated conditions," Applied Energy, Elsevier, vol. 254(C).
    6. Tu, Yaojie & Xu, Mingchen & Zhou, Dezhi & Wang, Qingxiang & Yang, Wenming & Liu, Hao, 2019. "CFD and kinetic modelling study of methane MILD combustion in O2/N2, O2/CO2 and O2/H2O atmospheres," Applied Energy, Elsevier, vol. 240(C), pages 1003-1013.
    7. He, Yizhuo & Zou, Chun & Song, Yu & Liu, Yang & Zheng, Chuguang, 2016. "Numerical study of characteristics on NO formation in methane MILD combustion with simultaneously hot and diluted oxidant and fuel (HDO/HDF)," Energy, Elsevier, vol. 112(C), pages 1024-1035.
    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. Zhao, Zhenghong & Zhang, Zewu & Zha, Xiaojian & Gao, Ge & Li, Xiaoshan & Wu, Fan & Luo, Cong & Zhang, Liqi, 2023. "Internal association between combustion behavior and NOx emissions of pulverized coal MILD-oxy combustion affected by adding H2O," Energy, Elsevier, vol. 263(PD).
    2. Shaker, Ahmad & Fordoei, E. Ebrahimi & Boyaghchi, Fateme Ahmadi, 2023. "Study of NO emission from CH4-air, oxygen-enriched, and oxy-CH4 combustion under HTC and MILD regimes: Impact of wall thermal condition in different oxidant temperature and dilution level," Energy, Elsevier, vol. 277(C).

    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. Shaker, Ahmad & Fordoei, E. Ebrahimi & Boyaghchi, Fateme Ahmadi, 2023. "Study of NO emission from CH4-air, oxygen-enriched, and oxy-CH4 combustion under HTC and MILD regimes: Impact of wall thermal condition in different oxidant temperature and dilution level," Energy, Elsevier, vol. 277(C).
    2. Cheong, Kin-Pang & Wang, Guochang & Si, Jicang & Mi, Jianchun, 2021. "Nonpremixed MILD combustion in a laboratory-scale cylindrical furnace: Occurrence and identification," Energy, Elsevier, vol. 216(C).
    3. Cai, Tao & Zhao, Dan & Chan, Siew Hwa & Shahsavari, Mohammad, 2022. "Tailoring reduced mechanisms for predicting flame propagation and ignition characteristics in ammonia and ammonia/hydrogen mixtures," Energy, Elsevier, vol. 260(C).
    4. Hu, Wenyu & E, Jiaqiang & Tan, Yan & Zhang, Feng & Liao, Gaoliang, 2022. "Modified wind energy collection devices for harvesting convective wind energy from cars and trucks moving in the highway," Energy, Elsevier, vol. 247(C).
    5. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
    6. Zhang, Zhiqing & Lv, Junshuai & Xie, Guanglin & Wang, Su & Ye, Yanshuai & Huang, Gaohua & Tan, Donlgi, 2022. "Effect of assisted hydrogen on combustion and emission characteristics of a diesel engine fueled with biodiesel," Energy, Elsevier, vol. 254(PA).
    7. Sayadzadeh, Mohammad Esmaiel & Samani, Majid Riahi & Toghraie, Davood & Emami, Sobhan & Eftekhari, Seyed Ali, 2023. "Numerical study on pollutant emissions characteristics and chemical and physical exergy analysis in Mild combustion," Energy, Elsevier, vol. 278(PB).
    8. Luo, Jianbin & Liu, Zhonghang & Wang, Jie & Xu, Hongxiang & Tie, Yuanhao & Yang, Dayong & Zhang, Zhiqing & Zhang, Chengtao & Wang, Haijiao, 2022. "Investigation of hydrogen addition on the combustion, performance, and emission characteristics of a heavy-duty engine fueled with diesel/natural gas," Energy, Elsevier, vol. 260(C).
    9. Zhang, Zhiqing & Lv, Junshuai & Li, Weiqing & Long, Junming & Wang, Su & Tan, Dongli & Yin, Zibin, 2022. "Performance and emission evaluation of a marine diesel engine fueled with natural gas ignited by biodiesel-diesel blended fuel," Energy, Elsevier, vol. 256(C).
    10. Li, Jiangtao & Zhang, Zhiqing & Ye, Yanshuai & Li, Weiqing & Yuan, Tao & Wang, Haijiao & Li, Yongtao & Tan, Dongli & Zhang, Chengtao, 2022. "Effects of different injection timing on the performance, combustion and emission characteristics of diesel/ethanol/n-butanol blended diesel engine based on multi-objective optimization theory," Energy, Elsevier, vol. 260(C).
    11. Zhang, Bin & Li, Xuewei & Wan, Qin & Liu, Bo & Jia, Guohai & Yin, Zibin, 2023. "Hydrocarbon emission control of an adsorptive catalytic gasoline particulate filter during cold-start period of the gasoline engine," Energy, Elsevier, vol. 262(PA).
    12. Zhang, Zhiqing & Hu, Jingyi & Tan, Dongli & Li, Junming & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Ye, Yanshuai & Zhao, Ziheng & Yang, Guanhua, 2023. "Multi-objective optimization of the three-way catalytic converter on the combustion and emission characteristics for a gasoline engine," Energy, Elsevier, vol. 277(C).
    13. Tian, Ye & Zhou, Xiong & Ji, Xuanyu & Bai, Jisong & Yuan, Liang, 2019. "Applying moderate or intense low-oxygen dilution combustion to a co-axial-jet I-shaped recuperative radiant tube for further performance enhancement," Energy, Elsevier, vol. 171(C), pages 149-160.
    14. Tu, Yaojie & Xu, Shunta & Xu, Mingchen & Liu, Hao & Yang, Wenming, 2020. "Numerical study of methane combustion under moderate or intense low-oxygen dilution regime at elevated pressure conditions up to 8 atm," Energy, Elsevier, vol. 197(C).
    15. Jozaalizadeh, Toomaj & Toghraie, Davood, 2019. "Numerical investigation behavior of reacting flow for flameless oxidation technology of MILD combustion: Effect of fluctuating temperature of inlet co-flow," Energy, Elsevier, vol. 178(C), pages 530-537.
    16. Zhao, Jingyu & Wang, Tao & Deng, Jun & Shu, Chi-Min & Zeng, Qiang & Guo, Tao & Zhang, Yuxuan, 2020. "Microcharacteristic analysis of CH4 emissions under different conditions during coal spontaneous combustion with high-temperature oxidation and in situ FTIR," Energy, Elsevier, vol. 209(C).
    17. Chen, Zhijie & Zuo, Wei & Zhou, Kun & Li, Qingqing & Huang, Yuhan & E, Jiaqiang, 2023. "Multi-factor impact mechanism on the performance of high temperature proton exchange membrane fuel cell," Energy, Elsevier, vol. 278(PB).
    18. Liu, Jintao & Chen, Liangchao & Xu, Wei & Feng, Mingfei & Han, Yongming & Xia, Tao & Geng, Zhiqiang, 2023. "Novel production prediction model of gasoline production processes for energy saving and economic increasing based on AM-GRU integrating the UMAP algorithm," Energy, Elsevier, vol. 262(PB).
    19. Zhang, Zhiqing & Dong, Rui & Tan, Dongli & Duan, Lin & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Hu, Jingyi & Zhang, Jian & Zhong, Weihuang & Zhao, Ziheng, 2023. "Effect of structural parameters on diesel particulate filter trapping performance of heavy-duty diesel engines based on grey correlation analysis," Energy, Elsevier, vol. 271(C).
    20. Tan, Dongli & Meng, Yujun & Tian, Jie & Zhang, Chengtao & Zhang, Zhiqing & Yang, Guanhua & Cui, Shuwan & Hu, Jingyi & Zhao, Ziheng, 2023. "Utilization of renewable and sustainable diesel/methanol/n-butanol (DMB) blends for reducing the engine emissions in a diesel engine with different pre-injection strategies," Energy, Elsevier, vol. 269(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:252:y:2022:i:c:s0360544222010143. 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.