IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v6y2013i12p6508-6524d31392.html
   My bibliography  Save this article

Performance Analysis of an Integrated Fixed Bed Gasifier Model for Different Biomass Feedstocks

Author

Listed:
  • Sharmina Begum

    (School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4702, Australia)

  • Mohammad G. Rasul

    (School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4702, Australia)

  • Delwar Akbar

    (School of Business and Law, Central Queensland University, Rockhampton, QLD 4702, Australia)

  • Naveed Ramzan

    (Department of Chemical Engineering, University of Engineering and Technology, Lahore 54890, Pakistan)

Abstract

Energy recovery from biomass by gasification technology has attracted significant interest because it satisfies a key requirement of environmental sustainability by producing near zero emissions. Though it is not a new technology, studies on its integrated process simulation and analysis are limited, in particular for municipal solid waste (MSW) gasification. This paper develops an integrated fixed bed gasifier model of biomass gasification using the Advanced System for Process ENngineering (Aspen) Plus software for its performance analysis. A computational model was developed on the basis of Gibbs free energy minimization. The model is validated with experimental data of MSW and food waste gasification available in the literature. A reasonable agreement between measured and predicted syngas composition was found. Using the validated model, the effects of operating conditions, namely air-fuel ratio and gasifier temperature, on syngas production are studied. Performance analyses have been done for four different feedstocks, namely wood, coffee bean husks, green wastes and MSWs. The ultimate and proximate analysis data for each feedstock was used for model development. It was found that operating parameters have a significant influence on syngas composition. An air-fuel ratio of 0.3 and gasifier temperature of 700 °C provides optimum performance for a fixed bed gasifier for MSWs, wood wastes, green wastes and coffee bean husks. The developed model can be useful for gasification of other biomasses (e.g., food wastes, rice husks, poultry wastes and sugarcane bagasse) to predict the syngas composition. Therefore, the study provides an integrated gasification model which can be used for different biomass feedstocks.

Suggested Citation

  • Sharmina Begum & Mohammad G. Rasul & Delwar Akbar & Naveed Ramzan, 2013. "Performance Analysis of an Integrated Fixed Bed Gasifier Model for Different Biomass Feedstocks," Energies, MDPI, vol. 6(12), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:6:y:2013:i:12:p:6508-6524:d:31392
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/6/12/6508/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/6/12/6508/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Nancy Eloísa Rodríguez-Olalde & Erick Alejandro Mendoza-Chávez & Agustín Jaime Castro-Montoya & Jaime Saucedo-Luna & Rafael Maya-Yescas & José Guadalupe Rutiaga-Quiñones & José María Ponce Ortega, 2015. "Simulation of Syngas Production from Lignin Using Guaiacol as a Model Compound," Energies, MDPI, vol. 8(7), pages 1-10, June.
    3. Ajaree Suwatthikul & Siripong Limprachaya & Paisan Kittisupakorn & Iqbal Mohammed Mujtaba, 2017. "Simulation of Steam Gasification in a Fluidized Bed Reactor with Energy Self-Sufficient Condition," Energies, MDPI, vol. 10(3), pages 1-15, March.
    4. Domenico Borello & Antonio M. Pantaleo & Michele Caucci & Benedetta De Caprariis & Paolo De Filippis & Nilay Shah, 2017. "Modeling and Experimental Study of a Small Scale Olive Pomace Gasifier for Cogeneration: Energy and Profitability Analysis," Energies, MDPI, vol. 10(12), pages 1-17, November.
    5. 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.
    6. Mauro Villarini & Vera Marcantonio & Andrea Colantoni & Enrico Bocci, 2019. "Sensitivity Analysis of Different Parameters on the Performance of a CHP Internal Combustion Engine System Fed by a Biomass Waste Gasifier," Energies, MDPI, vol. 12(4), pages 1-21, February.
    7. Hossam A. Gabbar & Mohamed Aboughaly & Stefano Russo, 2017. "Conceptual Design and Energy Analysis of Integrated Combined Cycle Gasification System," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    8. Ali, Shahid & Sørensen, Kim & Nielsen, Mads P., 2020. "Modeling a novel combined solid oxide electrolysis cell (SOEC) - Biomass gasification renewable methanol production system," Renewable Energy, Elsevier, vol. 154(C), pages 1025-1034.
    9. 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.
    10. Hameed, Zeeshan & Aslam, Muhammad & Khan, Zakir & Maqsood, Khuram & Atabani, A.E. & Ghauri, Moinuddin & Khurram, Muhammad Shahzad & Rehan, Mohammad & Nizami, Abdul-Sattar, 2021. "Gasification of municipal solid waste blends with biomass for energy production and resources recovery: Current status, hybrid technologies and innovative prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    11. Lorenzo Bartolucci & Enrico Bocci & Stefano Cordiner & Emanuele De Maina & Francesco Lombardi & Vera Marcantonio & Pietro Mele & Vincenzo Mulone & Davide Sorino, 2023. "Biomass Polygeneration System for the Thermal Conversion of Softwood Waste into Hydrogen and Drop-In Biofuels," Energies, MDPI, vol. 16(3), pages 1-15, January.
    12. Andrea Colantoni & Mauro Villarini & Vera Marcantonio & Francesco Gallucci & Massimo Cecchini, 2019. "Performance Analysis of a Small-Scale ORC Trigeneration System Powered by the Combustion of Olive Pomace," Energies, MDPI, vol. 12(12), pages 1-12, June.
    13. Alan Cruz Rojas & Guadalupe Lopez Lopez & J. F. Gomez-Aguilar & Victor M. Alvarado & Cinda Luz Sandoval Torres, 2017. "Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
    14. Flavio Andreoli Bonazzi & Sirio R.S. Cividino & Ilaria Zambon & Enrico Maria Mosconi & Stefano Poponi, 2018. "Building Energy Opportunity with a Supply Chain Based on the Local Fuel-Producing Capacity," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    15. Vera Marcantonio & Michael Müller & Enrico Bocci, 2021. "A Review of Hot Gas Cleaning Techniques for Hydrogen Chloride Removal from Biomass-Derived Syngas," Energies, MDPI, vol. 14(20), pages 1-15, October.
    16. Katla, Daria & Jurczyk, Michał & Skorek-Osikowska, Anna & Uchman, Wojciech, 2021. "Analysis of the integrated system of electrolysis and methanation units for the production of synthetic natural gas (SNG)," Energy, Elsevier, vol. 237(C).
    17. Kakati, Ujjiban & Sakhiya, Anil Kumar & Baghel, Paramjeet & Trada, Akshit & Mahapatra, Sadhan & Upadhyay, Darshit & Kaushal, Priyanka, 2022. "Sustainable utilization of bamboo through air-steam gasification in downdraft gasifier: Experimental and simulation approach," Energy, Elsevier, vol. 252(C).
    18. Rabah, Ali A., 2022. "Livestock manure availability and syngas production: A case of Sudan," Energy, Elsevier, vol. 259(C).
    19. Nargess Puadian & Jingge Li & Shusheng Pang, 2014. "Analysis of Operation Parameters in a Dual Fluidized Bed Biomass Gasifier Integrated with a Biomass Rotary Dryer: Development and Application of a System Model," Energies, MDPI, vol. 7(7), pages 1-22, July.
    20. João Cardoso & Valter Silva & Daniela Eusébio & Paulo Brito, 2017. "Hydrodynamic Modelling of Municipal Solid Waste Residues in a Pilot Scale Fluidized Bed Reactor," Energies, MDPI, vol. 10(11), pages 1-20, November.
    21. Shahbaz, Muhammad & Al-Ansari, Tareq & Inayat, Muddasser & Sulaiman, Shaharin A. & Parthasarathy, Prakash & McKay, Gordon, 2020. "A critical review on the influence of process parameters in catalytic co-gasification: Current performance and challenges for a future prospectus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(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:gam:jeners:v:6:y:2013:i:12:p:6508-6524:d:31392. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.