IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v256y2022ics0360544222015419.html
   My bibliography  Save this article

Modelling and statistical analysis of plastic biomass mixture co-gasification

Author

Listed:
  • Ajorloo, Mojtaba
  • Ghodrat, Maryam
  • Scott, Jason
  • Strezov, Vladimir

Abstract

In this work, an Aspen Plus model was developed to study the plastic/biomass co-gasification thermodynamically. Tar inclusion and temperature restricted equilibrium approach were applied for model modification. Using different gasifying agents, it was found that steam co-gasification is superior to air and oxygen-gasified processes in terms of gas composition and lower heating value (LHV). The use of an oxygen/steam mixture enhances H2 production if the steam to fuel ratio (S/F) is kept low. The modelling results were integrated with Response Surface Methodology to study the impacts of temperature (T), steam to fuel ratio (S/F), and plastic to biomass ratio (P/B) and their interactions within the steam co-gasification process. It was found that T and S/F, and their interaction, are the most influential parameters. Increasing the T, S/F, and P/B was favourable for enhancing H2 production, gas yield (GY), and carbon conversion efficiency (CCE), while CO content and LHV can be negatively affected. Using ANOVA results, empirical correlations were derived for estimating the responses (H2, CO, CO2, CH4, LHV, GY, and CCE). The optimum condition obtained using the desirability function (DF) approach was T = 921 °C, S/F = 1.186, and P/B = 74.99, at which the overall desirability function was found to be DF = 0.9.

Suggested Citation

  • Ajorloo, Mojtaba & Ghodrat, Maryam & Scott, Jason & Strezov, Vladimir, 2022. "Modelling and statistical analysis of plastic biomass mixture co-gasification," Energy, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:energy:v:256:y:2022:i:c:s0360544222015419
    DOI: 10.1016/j.energy.2022.124638
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222015419
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124638?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. Ramos, Ana & Monteiro, Eliseu & Silva, Valter & Rouboa, Abel, 2018. "Co-gasification and recent developments on waste-to-energy conversion: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 380-398.
    2. 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.
    3. Ahmed, I.I. & Nipattummakul, N. & Gupta, A.K., 2011. "Characteristics of syngas from co-gasification of polyethylene and woodchips," Applied Energy, Elsevier, vol. 88(1), pages 165-174, January.
    4. 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.
    5. Liu, Zhibin & Zhao, Chuankai & Cai, Longhao & Long, Xinman, 2022. "Steady state modelling of steam-gasification of biomass for H2-rich syngas production," Energy, Elsevier, vol. 238(PA).
    6. Tungalag, Azjargal & Lee, BongJu & Yadav, Manoj & Akande, Olugbenga, 2020. "Yield prediction of MSW gasification including minor species through ASPEN plus simulation," Energy, Elsevier, vol. 198(C).
    7. Aghaalikhani, Arash & Schmid, Johannes C. & Borello, Domenico & Fuchs, Joseph & Benedikt, Florian & Hofbauer, Herman & Rispoli, Franco & Henriksen, Ulrick B. & Sárossy, Zsuzsa & Cedola, Luca, 2019. "Detailed modelling of biomass steam gasification in a dual fluidized bed gasifier with temperature variation," Renewable Energy, Elsevier, vol. 143(C), pages 703-718.
    8. Inayat, Muddasser & Sulaiman, Shaharin A. & Kurnia, Jundika Candra & Shahbaz, Muhammad, 2019. "Effect of various blended fuels on syngas quality and performance in catalytic co-gasification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 252-267.
    9. Ahmad, Anis Atikah & Zawawi, Norfadhila Abdullah & Kasim, Farizul Hafiz & Inayat, Abrar & Khasri, Azduwin, 2016. "Assessing the gasification performance of biomass: A review on biomass gasification process conditions, optimization and economic evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1333-1347.
    10. Tavares, Raquel & Monteiro, Eliseu & Tabet, Fouzi & Rouboa, Abel, 2020. "Numerical investigation of optimum operating conditions for syngas and hydrogen production from biomass gasification using Aspen Plus," Renewable Energy, Elsevier, vol. 146(C), pages 1309-1314.
    11. Burra, K.G. & Gupta, A.K., 2018. "Synergistic effects in steam gasification of combined biomass and plastic waste mixtures," Applied Energy, Elsevier, vol. 211(C), pages 230-236.
    12. Li, Jinhu & Burra, Kiran Raj G. & Wang, Zhiwei & Liu, Xuan & Gupta, Ashwani K., 2021. "Co-gasification of high-density polyethylene and pretreated pine wood," Applied Energy, Elsevier, vol. 285(C).
    13. Kartal, Furkan & Özveren, Uğur, 2020. "A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus®," Energy, Elsevier, vol. 209(C).
    14. Baruah, Dipal & Baruah, D.C., 2014. "Modeling of biomass gasification: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 806-815.
    15. Pala, Laxmi Prasad Rao & Wang, Qi & Kolb, Gunther & Hessel, Volker, 2017. "Steam gasification of biomass with subsequent syngas adjustment using shift reaction for syngas production: An Aspen Plus model," Renewable Energy, Elsevier, vol. 101(C), pages 484-492.
    16. Hu, Yisheng & Pang, Kang & Cai, Longhao & Liu, Zhibin, 2021. "A multi-stage co-gasification system of biomass and municipal solid waste (MSW) for high quality syngas production," Energy, Elsevier, vol. 221(C).
    17. Xiong, Shanshan & He, Jiang & Yang, Zhongqing & Guo, Mingnv & Yan, Yunfei & Ran, Jingyu, 2020. "Thermodynamic analysis of CaO enhanced steam gasification process of food waste with high moisture and low moisture," Energy, Elsevier, vol. 194(C).
    18. Hernández, J.J. & Ballesteros, R. & Aranda, G., 2013. "Characterisation of tars from biomass gasification: Effect of the operating conditions," Energy, Elsevier, vol. 50(C), pages 333-342.
    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. Vikram, Shruti & Deore, Sujeetkumar P. & De Blasio, Cataldo & Mahajani, Sanjay M. & Kumar, Sandeep, 2023. "Air gasification of high-ash solid waste in a pilot-scale downdraft gasifier: Experimental and numerical analysis," Energy, Elsevier, vol. 270(C).
    2. Deore, Sujeetkumar P. & Kumar, Sandeep & Mahajani, Sanjay M. & De Blasio, Cataldo, 2023. "Co-gasification of sanitary napkin with sawdust biomass in downdraft gasifier for thermal applications: An experimental approach," Energy, Elsevier, vol. 276(C).
    3. Qin, Linbo & Zhu, Shiquan & Xu, Zhe & Zhao, Bo & Chen, Wangsheng & Zhang, Qiang & Han, Jun, 2023. "Technical feasibility and sensitivity analysis of medical waste gasification by the converter gas," Energy, Elsevier, vol. 275(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. 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.
    2. Mariyam, Sabah & Shahbaz, Muhammad & Al-Ansari, Tareq & Mackey, Hamish. R & McKay, Gordon, 2022. "A critical review on co-gasification and co-pyrolysis for gas production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    3. 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.
    4. Ismail, Tamer M. & Ramos, Ana & Monteiro, Eliseu & El-Salam, M. Abd & Rouboa, Abel, 2020. "Parametric studies in the gasification agent and fluidization velocity during oxygen-enriched gasification of biomass in a pilot-scale fluidized bed: Experimental and numerical assessment," Renewable Energy, Elsevier, vol. 147(P1), pages 2429-2439.
    5. Matheus Oliveira & Ana Ramos & Tamer M. Ismail & Eliseu Monteiro & Abel Rouboa, 2022. "A Review on Plasma Gasification of Solid Residues: Recent Advances and Developments," Energies, MDPI, vol. 15(4), pages 1-21, February.
    6. Buentello-Montoya, D.A. & Duarte-Ruiz, C.A. & Maldonado-Escalante, J.F., 2023. "Co-gasification of waste PET, PP and biomass for energy recovery: A thermodynamic model to assess the produced syngas quality," Energy, Elsevier, vol. 266(C).
    7. 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.
    8. Kartal, Furkan & Özveren, Uğur, 2020. "A deep learning approach for prediction of syngas lower heating value from CFB gasifier in Aspen plus®," Energy, Elsevier, vol. 209(C).
    9. Ferreiro, A.I. & Segurado, R. & Costa, M., 2020. "Modelling soot formation during biomass gasification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    10. Li, Jinhu & Burra, Kiran Raj G. & Wang, Zhiwei & Liu, Xuan & Gupta, Ashwani K., 2021. "Co-gasification of high-density polyethylene and pretreated pine wood," Applied Energy, Elsevier, vol. 285(C).
    11. AlNouss, Ahmed & McKay, Gordon & Al-Ansari, Tareq, 2020. "Enhancing waste to hydrogen production through biomass feedstock blending: A techno-economic-environmental evaluation," Applied Energy, Elsevier, vol. 266(C).
    12. Kim, Jun Young & Kim, Dongjae & Li, Zezhong John & Dariva, Claudio & Cao, Yankai & Ellis, Naoko, 2023. "Predicting and optimizing syngas production from fluidized bed biomass gasifiers: A machine learning approach," Energy, Elsevier, vol. 263(PC).
    13. Vera Marcantonio & Enrico Bocci & Danilo Monarca, 2019. "Development of a Chemical Quasi-Equilibrium Model of Biomass Waste Gasification in a Fluidized-Bed Reactor by Using Aspen Plus," Energies, MDPI, vol. 13(1), pages 1-15, December.
    14. Liu, Xuan & Burra, Kiran G. & Wang, Zhiwei & Li, Jinhu & Che, Defu & Gupta, Ashwani K., 2020. "On deconvolution for understanding synergistic effects in co-pyrolysis of pinewood and polypropylene," Applied Energy, Elsevier, vol. 279(C).
    15. 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).
    16. Burra, Kiran Raj G. & Liu, Xuan & Wang, Zhiwei & Li, Jinhu & Che, Defu & Gupta, Ashwani K., 2021. "Quantifying the sources of synergistic effects in co-pyrolysis of pinewood and polystyrene," Applied Energy, Elsevier, vol. 302(C).
    17. Sajid, Muhammad & Raheem, Abdul & Ullah, Naeem & Asim, Muhammad & Ur Rehman, Muhammad Saif & Ali, Nisar, 2022. "Gasification of municipal solid waste: Progress, challenges, and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    18. Vera Marcantonio & Luisa Di Paola & Marcello De Falco & Mauro Capocelli, 2023. "Modeling of Biomass Gasification: From Thermodynamics to Process Simulations," Energies, MDPI, vol. 16(20), pages 1-30, October.
    19. Ku, Xiaoke & Wang, Jin & Jin, Hanhui & Lin, Jianzhong, 2019. "Effects of operating conditions and reactor structure on biomass entrained-flow gasification," Renewable Energy, Elsevier, vol. 139(C), pages 781-795.
    20. Pio, D.T. & Tarelho, L.A.C., 2020. "Empirical and chemical equilibrium modelling for prediction of biomass gasification products in bubbling fluidized beds," Energy, Elsevier, vol. 202(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:256:y:2022:i:c:s0360544222015419. 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.