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Modelling and statistical analysis of plastic biomass mixture co-gasification

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  • 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
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    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.
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    Cited by:

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    2. Qi, Jingwei & Wang, Yijie & Xu, Pengcheng & Hu, Ming & Huhe, Taoli & Ling, Xiang & Yuan, Haoran & Chen, Yong, 2024. "Study on the Co-gasification characteristics of biomass and municipal solid waste based on machine learning," Energy, Elsevier, vol. 290(C).
    3. 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).
    4. 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).

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