IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v241y2022ics0360544221031431.html
   My bibliography  Save this article

Development of a semi-empirical model for woody biomass gasification based on stoichiometric thermodynamic equilibrium model

Author

Listed:
  • Silva, Isabelly P.
  • Lima, Rafael M.A.
  • Santana, Hortência E.P.
  • Silva, Gabriel F.
  • Ruzene, Denise S.
  • Silva, Daniel P.

Abstract

The gasification process is a complex biomass conversion process, so mathematical models are a useful tool to support its study. This work aimed to develop empirical correlations for the prediction of tar and coal and methane and apply these correlations, and then proposed and evaluated models based on the thermodynamic equilibrium model. Based on the empirical correlations developed (R-squared of 0.75, 0.77 and 0.64) 6 modified models were proposed, which were compared to the basic model. The M6 model that applied the three empirical correlations in its resolution was the model that best described the experimental results. It was concluded that the application of empirical correlations can improve the prediction of the behavior of a downdraft gasification system, achieving a reduction in the root-mean-square error of up to 52% of the value compared to the basic model, without the application of empirical correlations. The novelty of this study part of formulated the models by combing the empirical correlations in different ways with other strategies to correct the nonequilibrium deviations, in a manner that predicts gas composition and simultaneously fractions of tar and char, both undesirable compounds and main problems in syngas application.

Suggested Citation

  • Silva, Isabelly P. & Lima, Rafael M.A. & Santana, Hortência E.P. & Silva, Gabriel F. & Ruzene, Denise S. & Silva, Daniel P., 2022. "Development of a semi-empirical model for woody biomass gasification based on stoichiometric thermodynamic equilibrium model," Energy, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:energy:v:241:y:2022:i:c:s0360544221031431
    DOI: 10.1016/j.energy.2021.122894
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221031431
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122894?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. Yueshi Wu & Weihong Yang & Wlodzimierz Blasiak, 2014. "Energy and Exergy Analysis of High Temperature Agent Gasification of Biomass," Energies, MDPI, vol. 7(4), pages 1-16, April.
    2. Karamarkovic, Rade & Karamarkovic, Vladan, 2010. "Energy and exergy analysis of biomass gasification at different temperatures," Energy, Elsevier, vol. 35(2), pages 537-549.
    3. Patra, Tapas Kumar & Sheth, Pratik N., 2015. "Biomass gasification models for downdraft gasifier: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 583-593.
    4. Fryda, L. & Panopoulos, K.D. & Karl, J. & Kakaras, E., 2008. "Exergetic analysis of solid oxide fuel cell and biomass gasification integration with heat pipes," Energy, Elsevier, vol. 33(2), pages 292-299.
    5. Mendiburu, Andrés Z. & Carvalho, João A. & Coronado, Christian J.R., 2014. "Thermochemical equilibrium modeling of biomass downdraft gasifier: Stoichiometric models," Energy, Elsevier, vol. 66(C), pages 189-201.
    6. Aydin, Ebubekir Siddik & Yucel, Ozgun & Sadikoglu, Hasan, 2017. "Development of a semi-empirical equilibrium model for downdraft gasification systems," Energy, Elsevier, vol. 130(C), pages 86-98.
    7. Rodriguez-Alejandro, David A. & Nam, Hyungseok & Maglinao, Amado L. & Capareda, Sergio C. & Aguilera-Alvarado, Alberto F., 2016. "Development of a modified equilibrium model for biomass pilot-scale fluidized bed gasifier performance predictions," Energy, Elsevier, vol. 115(P1), pages 1092-1108.
    8. Hafiz Muhammad Uzair Ayub & Sang Jin Park & Michael Binns, 2020. "Biomass to Syngas: Modified Non-Stoichiometric Thermodynamic Models for the Downdraft Biomass Gasification," Energies, MDPI, vol. 13(21), pages 1-17, October.
    9. Hafiz Muhammad Uzair Ayub & Sang Jin Park & Michael Binns, 2020. "Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification," Energies, MDPI, vol. 13(20), pages 1, October.
    10. Zeng, Xi & Wang, Fang & Li, Hongling & Wang, Yin & Dong, Li & Yu, Jian & Xu, Guangwen, 2014. "Pilot verification of a low-tar two-stage coal gasification process with a fluidized bed pyrolyzer and fixed bed gasifier," Applied Energy, Elsevier, vol. 115(C), pages 9-16.
    11. Susastriawan, A.A.P. & Saptoadi, Harwin & Purnomo,, 2017. "Small-scale downdraft gasifiers for biomass gasification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 989-1003.
    12. Silva, Isabelly P. & Lima, Rafael M.A. & Silva, Gabriel F. & Ruzene, Denise S. & Silva, Daniel P., 2019. "Thermodynamic equilibrium model based on stoichiometric method for biomass gasification: A review of model modifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    13. Prins, Mark J. & Ptasinski, Krzysztof J. & Janssen, Frans J.J.G., 2007. "From coal to biomass gasification: Comparison of thermodynamic efficiency," Energy, Elsevier, vol. 32(7), pages 1248-1259.
    14. Samadi, Seyed Hashem & Ghobadian, Barat & Nosrati, Mohsen, 2020. "Prediction and estimation of biomass energy from agricultural residues using air gasification technology in Iran," Renewable Energy, Elsevier, vol. 149(C), pages 1077-1091.
    15. Jarungthammachote, S. & Dutta, A., 2007. "Thermodynamic equilibrium model and second law analysis of a downdraft waste gasifier," Energy, Elsevier, vol. 32(9), pages 1660-1669.
    16. Lv, Pengmei & Yuan, Zhenhong & Ma, Longlong & Wu, Chuangzhi & Chen, Yong & Zhu, Jingxu, 2007. "Hydrogen-rich gas production from biomass air and oxygen/steam gasification in a downdraft gasifier," Renewable Energy, Elsevier, vol. 32(13), pages 2173-2185.
    17. Baruah, Dipal & Baruah, D.C., 2014. "Modeling of biomass gasification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 806-815.
    18. Ahmed, Tigabwa Y. & Ahmad, Murni M. & Yusup, Suzana & Inayat, Abrar & Khan, Zakir, 2012. "Mathematical and computational approaches for design of biomass gasification for hydrogen production: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2304-2315.
    19. Sérgio Ferreira & Eliseu Monteiro & Paulo Brito & Cândida Vilarinho, 2019. "A Holistic Review on Biomass Gasification Modified Equilibrium Models," Energies, MDPI, vol. 12(1), pages 1-31, January.
    20. Mendiburu, Andrés Z. & Carvalho, João A. & Zanzi, Rolando & Coronado, Christian R. & Silveira, José L., 2014. "Thermochemical equilibrium modeling of a biomass downdraft gasifier: Constrained and unconstrained non-stoichiometric models," Energy, Elsevier, vol. 71(C), pages 624-637.
    21. Dogru, M. & Howarth, C.R. & Akay, G. & Keskinler, B. & Malik, A.A., 2002. "Gasification of hazelnut shells in a downdraft gasifier," Energy, Elsevier, vol. 27(5), pages 415-427.
    22. Rahman, Md Mashiur & Aravindakshan, Sreejith & Matin, Md Abdul, 2021. "Design and performance evaluation of an inclined nozzle and combustor of a downdraft moving bed gasifier for tar reduction," Renewable Energy, Elsevier, vol. 172(C), pages 239-250.
    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. Kim, Jun Young & Shin, Ui Hyeon & Kim, Kwangsu, 2023. "Predicting biomass composition and operating conditions in fluidized bed biomass gasifiers: An automated machine learning approach combined with cooperative game theory," Energy, Elsevier, vol. 280(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. Silva, Isabelly P. & Lima, Rafael M.A. & Silva, Gabriel F. & Ruzene, Denise S. & Silva, Daniel P., 2019. "Thermodynamic equilibrium model based on stoichiometric method for biomass gasification: A review of model modifications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    2. Sérgio Ferreira & Eliseu Monteiro & Paulo Brito & Cândida Vilarinho, 2019. "A Holistic Review on Biomass Gasification Modified Equilibrium Models," Energies, MDPI, vol. 12(1), pages 1-31, January.
    3. Safarian, Sahar & Unnthorsson, Runar & Richter, Christiaan, 2020. "The equivalence of stoichiometric and non-stoichiometric methods for modeling gasification and other reaction equilibria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    4. Ibrahim, A. & Veremieiev, S. & Gaskell, P.H., 2022. "An advanced, comprehensive thermochemical equilibrium model of a downdraft biomass gasifier," Renewable Energy, Elsevier, vol. 194(C), pages 912-925.
    5. Samadi, Seyed Hashem & Ghobadian, Barat & Nosrati, Mohsen, 2020. "Prediction and estimation of biomass energy from agricultural residues using air gasification technology in Iran," Renewable Energy, Elsevier, vol. 149(C), pages 1077-1091.
    6. 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.
    7. Upadhyay, Darshit S. & Sakhiya, Anil Kumar & Panchal, Krunal & Patel, Amar H. & Patel, Rajesh N., 2019. "Effect of equivalence ratio on the performance of the downdraft gasifier – An experimental and modelling approach," Energy, Elsevier, vol. 168(C), pages 833-846.
    8. Safarian, Sahar & Unnþórsson, Rúnar & Richter, Christiaan, 2019. "A review of biomass gasification modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 378-391.
    9. Hafiz Muhammad Uzair Ayub & Sang Jin Park & Michael Binns, 2020. "Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification," Energies, MDPI, vol. 13(20), pages 1, October.
    10. La Villetta, M. & Costa, M. & Massarotti, N., 2017. "Modelling approaches to biomass gasification: A review with emphasis on the stoichiometric method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 71-88.
    11. Hafiz Muhammad Uzair Ayub & Sang Jin Park & Michael Binns, 2020. "Biomass to Syngas: Modified Non-Stoichiometric Thermodynamic Models for the Downdraft Biomass Gasification," Energies, MDPI, vol. 13(21), pages 1-17, October.
    12. Elmaz, Furkan & Yücel, Özgün & Mutlu, Ali Yener, 2020. "Predictive modeling of biomass gasification with machine learning-based regression methods," Energy, Elsevier, vol. 191(C).
    13. Aydin, Ebubekir Siddik & Yucel, Ozgun & Sadikoglu, Hasan, 2017. "Development of a semi-empirical equilibrium model for downdraft gasification systems," Energy, Elsevier, vol. 130(C), pages 86-98.
    14. Qitai Eri & Wenzhen Wu & Xinjun Zhao, 2017. "Numerical Investigation of the Air-Steam Biomass Gasification Process Based on Thermodynamic Equilibrium Model," Energies, MDPI, vol. 10(12), pages 1-19, December.
    15. Díaz González, Carlos A. & Pacheco Sandoval, Leonardo, 2020. "Sustainability aspects of biomass gasification systems for small power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    16. Loha, Chanchal & Chattopadhyay, Himadri & Chatterjee, Pradip K., 2011. "Thermodynamic analysis of hydrogen rich synthetic gas generation from fluidized bed gasification of rice husk," Energy, Elsevier, vol. 36(7), pages 4063-4071.
    17. Mendiburu, Andrés Z. & Carvalho, João A. & Coronado, Christian J.R., 2014. "Thermochemical equilibrium modeling of biomass downdraft gasifier: Stoichiometric models," Energy, Elsevier, vol. 66(C), pages 189-201.
    18. Tejasvi Sharma & Diego M. Yepes Maya & Francisco Regis M. Nascimento & Yunye Shi & Albert Ratner & Electo E. Silva Lora & Lourival Jorge Mendes Neto & Jose Carlos Escobar Palacios & Rubenildo Vieira A, 2018. "An Experimental and Theoretical Study of the Gasification of Miscanthus Briquettes in a Double-Stage Downdraft Gasifier: Syngas, Tar, and Biochar Characterization," Energies, MDPI, vol. 11(11), pages 1-23, November.
    19. Janajreh, Isam & Adeyemi, Idowu & Raza, Syed Shabbar & Ghenai, Chaouki, 2021. "A review of recent developments and future prospects in gasification systems and their modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    20. Mutlu, Ali Yener & Yucel, Ozgun, 2018. "An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification," Energy, Elsevier, vol. 165(PA), pages 895-901.

    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:241:y:2022:i:c:s0360544221031431. 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.