IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v228y2021ics0360544221007994.html
   My bibliography  Save this article

Development of environment-friendly dual fuel pulverized coal-natural gas combustion technology for the co-firing power plant boiler: Experimental and numerical analysis

Author

Listed:
  • Rahimipetroudi, Iman
  • Rashid, Kashif
  • Yang, Je Bok
  • Dong, Sang Keun

Abstract

The objective of this study was to develop and design an effective state-of-the-art dual-fuel pulverized coal (PC)-natural gas (NG) burner that incorporates fuel-air staging, flow swirling, preheating, and co-firing technologies to increase performance and minimize emissions. Experimental and numerical modeling were performed to study the effect of different operating conditions, excess air ratio, fuel staging, and NG blending. An optimal experimental design using a response surface methodology was adopted to examine the significance of the operating parameters. Analysis of variance indicates that the regression equation can correctly represent the responses (p-value < 0.0001). It is also indicated that the excess air ratio and percentage of preheated PC have significant effects on NOx emissions (p < 0.005). The optimal conditions were determined to include an excess air ratio of 1.2 and 50% PC injection into the preheating stream. Meeting these conditions, the predicted average NOx emission was 430 ± 3.1 ppm and the average measured NOx emission 436 ± 11.2 ppm, with 6% O2. Moreover, further reduction of NOx emission by up to 50% highlights the beneficial approach of NG co-firing. This design allows intensifying of recirculation and a mixture of fuels and oxidizers appropriate for improving the combustion characteristics significantly.

Suggested Citation

  • Rahimipetroudi, Iman & Rashid, Kashif & Yang, Je Bok & Dong, Sang Keun, 2021. "Development of environment-friendly dual fuel pulverized coal-natural gas combustion technology for the co-firing power plant boiler: Experimental and numerical analysis," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221007994
    DOI: 10.1016/j.energy.2021.120550
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221007994
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120550?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. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    2. Nazari, Laleh & Yuan, Zhongshun & Ray, Madhumita B. & Xu, Chunbao (Charles), 2017. "Co-conversion of waste activated sludge and sawdust through hydrothermal liquefaction: Optimization of reaction parameters using response surface methodology," Applied Energy, Elsevier, vol. 203(C), pages 1-10.
    3. Li, Yu & Fan, Weidong, 2016. "Effect of char gasification on NOx formation process in the deep air-staged combustion in a 20kW down flame furnace," Applied Energy, Elsevier, vol. 164(C), pages 258-267.
    4. Marco Torresi & Francesco Fornarelli & Bernardo Fortunato & Sergio Mario Camporeale & Alessandro Saponaro, 2017. "Assessment against Experiments of Devolatilization and Char Burnout Models for the Simulation of an Aerodynamically Staged Swirled Low-NO x Pulverized Coal Burner," Energies, MDPI, vol. 10(1), pages 1-24, January.
    5. Hodžić, Nihad & Kazagić, Anes & Smajević, Izet, 2016. "Influence of multiple air staging and reburning on NOx emissions during co-firing of low rank brown coal with woody biomass and natural gas," Applied Energy, Elsevier, vol. 168(C), pages 38-47.
    6. Barma, M.C. & Saidur, R. & Rahman, S.M.A. & Allouhi, A. & Akash, B.A. & Sait, Sadiq M., 2017. "A review on boilers energy use, energy savings, and emissions reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 970-983.
    7. Leung, Dennis Y.C. & Caramanna, Giorgio & Maroto-Valer, M. Mercedes, 2014. "An overview of current status of carbon dioxide capture and storage technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 426-443.
    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. Li, Xinzhuo & Choi, Minsung & Jung, Chanho & Park, Yeseul & Choi, Gyungmin, 2022. "Effects of the staging position and air−LPG mixing ratio on the combustion and emission characteristics of coal and gas co-firing," Energy, Elsevier, vol. 254(PB).
    2. Xu, Qilong & Wang, Shuai & Luo, Kun & Mu, Yanfei & Pan, Lu & Fan, Jianren, 2023. "Process modelling and optimization of a 250 MW IGCC system: Model setup, validation, and preliminary predictions," Energy, Elsevier, vol. 272(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. Li, Zixiang & Qiao, Xinqi & Miao, Zhengqing, 2021. "A novel burner arrangement scheme with annularly combined multiple airflows for wall-tangentially fired pulverized coal boiler," Energy, Elsevier, vol. 222(C).
    2. Zeng, Guang & Xu, Mingchen & Tu, Yaojie & Li, Zhenwei & Cai, Yongtie & Zheng, Zhimin & Tay, Kunlin & Yang, Wenming, 2020. "Influences of initial coal concentration on ignition behaviors of low-NOx bias combustion technology," Applied Energy, Elsevier, vol. 278(C).
    3. Liu, Yacheng & Fan, Weidong & Li, Yu, 2016. "Numerical investigation of air-staged combustion emphasizing char gasification and gas temperature deviation in a large-scale, tangentially fired pulverized-coal boiler," Applied Energy, Elsevier, vol. 177(C), pages 323-334.
    4. Liang, Zhanwei & Chen, Hongwei & Zhao, Bin & Jia, Jiandong & Cheng, Kai, 2018. "Synergetic effects of firing gases/coal blends and adopting deep air staging on combustion characteristics," Applied Energy, Elsevier, vol. 228(C), pages 499-511.
    5. Shen-Tsu Wang, 2016. "Integrating grey sequencing with the genetic algorithm--immune algorithm to optimise touch panel cover glass polishing process parameter design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(16), pages 4882-4893, August.
    6. Yek, Peter Nai Yuh & Cheng, Yoke Wang & Liew, Rock Keey & Wan Mahari, Wan Adibah & Ong, Hwai Chyuan & Chen, Wei-Hsin & Peng, Wanxi & Park, Young-Kwon & Sonne, Christian & Kong, Sieng Huat & Tabatabaei, 2021. "Progress in the torrefaction technology for upgrading oil palm wastes to energy-dense biochar: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    7. Qin, Caiyan & Kim, Joong Bae & Lee, Bong Jae, 2019. "Performance analysis of a direct-absorption parabolic-trough solar collector using plasmonic nanofluids," Renewable Energy, Elsevier, vol. 143(C), pages 24-33.
    8. Liang, Ying & Cai, Lei & Guan, Yanwen & Liu, Wenbin & Xiang, Yanlei & Li, Juan & He, Tianzhi, 2020. "Numerical study on an original oxy-fuel combustion power plant with efficient utilization of flue gas waste heat," Energy, Elsevier, vol. 193(C).
    9. Ramos, Ana & Monteiro, Eliseu & Rouboa, Abel, 2019. "Numerical approaches and comprehensive models for gasification process: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 188-206.
    10. M'Arimi, M.M. & Mecha, C.A. & Kiprop, A.K. & Ramkat, R., 2020. "Recent trends in applications of advanced oxidation processes (AOPs) in bioenergy production: Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    11. Gintautas Mozgeris & Daiva Juknelienė, 2021. "Modeling Future Land Use Development: A Lithuanian Case," Land, MDPI, vol. 10(4), pages 1-21, April.
    12. Renzi, Massimiliano & Bietresato, Marco & Mazzetto, Fabrizio, 2016. "An experimental evaluation of the performance of a SI internal combustion engine for agricultural purposes fuelled with different bioethanol blends," Energy, Elsevier, vol. 115(P1), pages 1069-1080.
    13. Balcombe, Paul & Speirs, Jamie & Johnson, Erin & Martin, Jeanne & Brandon, Nigel & Hawkes, Adam, 2018. "The carbon credentials of hydrogen gas networks and supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1077-1088.
    14. Chamberlin Stéphane Azebaze Mboving & Zbigniew Hanzelka & Andrzej Firlit, 2022. "Analysis of the Factors Having an Influence on the LC Passive Harmonic Filter Work Efficiency," Energies, MDPI, vol. 15(5), pages 1-51, March.
    15. Pellegrino, Sandro & Lanzini, Andrea & Leone, Pierluigi, 2017. "Greening the gas network – The need for modelling the distributed injection of alternative fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 266-286.
    16. Lu Chen & Qincheng Chen & Pinhua Rao & Lili Yan & Alghashm Shakib & Guoqing Shen, 2018. "Formulating and Optimizing a Novel Biochar-Based Fertilizer for Simultaneous Slow-Release of Nitrogen and Immobilization of Cadmium," Sustainability, MDPI, vol. 10(8), pages 1-14, August.
    17. Biranchi Panda & K. Shankhwar & Akhil Garg & M. M. Savalani, 2019. "Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 809-820, February.
    18. Zahedi, Ali Reza & Mirnezami, Seyed Abolfazl, 2020. "Experimental analysis of biomass to biodiesel conversion using a novel renewable combined cycle system," Renewable Energy, Elsevier, vol. 162(C), pages 1177-1194.
    19. Ahmad Abbaszadeh-Mayvan & Barat Ghobadian & Gholamhassan Najafi & Talal Yusaf, 2018. "Intensification of Continuous Biodiesel Production from Waste Cooking Oils Using Shockwave Power Reactor: Process Evaluation and Optimization through Response Surface Methodology (RSM)," Energies, MDPI, vol. 11(10), pages 1-13, October.
    20. de Oliveira, Lucas Guedes & Aquila, Giancarlo & Balestrassi, Pedro Paulo & de Paiva, Anderson Paulo & de Queiroz, Anderson Rodrigo & de Oliveira Pamplona, Edson & Camatta, Ulisses Pessin, 2020. "Evaluating economic feasibility and maximization of social welfare of photovoltaic projects developed for the Brazilian northeastern coast: An attribute agreement analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(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:228:y:2021:i:c:s0360544221007994. 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.