Gasific: A Python Tool for Biomass Gasification Process

O. Oladokun; B. Nyakuma; W. Wong Syie Luing; E. Oladimeji; O. Abatan; A.O. Ayeni; O. Agboola; A.A. Ayoola; M.O. Ojewunmi; V.E. Efeovbokhan; L. Olagoke-Oladokun; O.A. Odunlami

doi:10.1007/978-3-030-95820-6_28

Gasific: A Python Tool for Biomass Gasification Process

O. Oladokun
, B. Nyakuma
, W. Wong Syie Luing
, E. Oladimeji
, O. Abatan
, A.O. Ayeni
, O. Agboola
, A.A. Ayoola
, M.O. Ojewunmi
, V.E. Efeovbokhan
, L. Olagoke-Oladokun
, O.A. Odunlami

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

Abstract

Biomass gasification and the production of syngas are important in the production of biohydrogen, a green fuel and an energy carrier for the fuel cell. The tool for the prediction of biohydrogen production from any biomass should be readily available to determine the viability of such biomass for gasification. The software implementing a robust gasification model is complex, proprietary, and expensive. In order to solve this problem, we developed Gasific, a software module for simple, free, and accurate biomass gasification product gas prediction. Gasific, implemented biomass gasification, stoichiometric equilibrium models, in Python and runs on a variety of platforms. We discussed the application of Gasific on biomass wastes, namely, Imperata cylindrica; the simulation shows good performance in predicting the gas composition product of gasification. The developed software and the code can be modified and applied to other scientific models and transform the models into software applications.

Original language	English
Title of host publication	Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation
Editors	Augustine O. Ayeni, Olagoke Oladokun, Oyinkepreye David Orodu
Publisher	Springer
Pages	335-353
Number of pages	19
ISBN (Print)	9783030958190
DOIs	https://doi.org/10.1007/978-3-030-95820-6_28
Publication status	Published - 2022
Externally published	Yes
Event	1st International Conference on Energy and Biochemical Engineering, ICEBE 2021 - Ota, Nigeria Duration: 27 Sept 2021 → 29 Sept 2021

Publication series

Name	Green Energy and Technology
ISSN (Print)	1865-3529
ISSN (Electronic)	1865-3537

Conference

Conference	1st International Conference on Energy and Biochemical Engineering, ICEBE 2021
Country/Territory	Nigeria
City	Ota
Period	27/09/21 → 29/09/21

Bibliographical note

Funding Information:
Acknowledgments We would like to thank all the contributors that helped over the years in the shaping of Gasific libraries, in particular Prof. Arshad Ahmad, Dr. Tuan Amran Tuan Abdullah, and Dr. Anwar Johari. This work has been partially funded by the Covenant University, Ota, Nigeria.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Funding

Acknowledgments We would like to thank all the contributors that helped over the years in the shaping of Gasific libraries, in particular Prof. Arshad Ahmad, Dr. Tuan Amran Tuan Abdullah, and Dr. Anwar Johari. This work has been partially funded by the Covenant University, Ota, Nigeria.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Biomass
Gasification
Model
Python
Stoichiometric equilibrium model

Access to Document

10.1007/978-3-030-95820-6_28

Cite this

Oladokun, O., Nyakuma, B., Wong Syie Luing, W., Oladimeji, E., Abatan, O., Ayeni, A. O., Agboola, O., Ayoola, A. A., Ojewunmi, M. O., Efeovbokhan, V. E., Olagoke-Oladokun, L., & Odunlami, O. A. (2022). Gasific: A Python Tool for Biomass Gasification Process. In A. O. Ayeni, O. Oladokun, & O. D. Orodu (Eds.), Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation (pp. 335-353). (Green Energy and Technology). Springer. https://doi.org/10.1007/978-3-030-95820-6_28

Oladokun, O. ; Nyakuma, B. ; Wong Syie Luing, W. et al. / Gasific : A Python Tool for Biomass Gasification Process. Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation. editor / Augustine O. Ayeni ; Olagoke Oladokun ; Oyinkepreye David Orodu. Springer, 2022. pp. 335-353 (Green Energy and Technology).

@inproceedings{9ec47b0a812148e286713e103b68a9f2,

title = "Gasific: A Python Tool for Biomass Gasification Process",

abstract = "Biomass gasification and the production of syngas are important in the production of biohydrogen, a green fuel and an energy carrier for the fuel cell. The tool for the prediction of biohydrogen production from any biomass should be readily available to determine the viability of such biomass for gasification. The software implementing a robust gasification model is complex, proprietary, and expensive. In order to solve this problem, we developed Gasific, a software module for simple, free, and accurate biomass gasification product gas prediction. Gasific, implemented biomass gasification, stoichiometric equilibrium models, in Python and runs on a variety of platforms. We discussed the application of Gasific on biomass wastes, namely, Imperata cylindrica; the simulation shows good performance in predicting the gas composition product of gasification. The developed software and the code can be modified and applied to other scientific models and transform the models into software applications.",

keywords = "Biomass, Gasification, Model, Python, Stoichiometric equilibrium model",

author = "O. Oladokun and B. Nyakuma and \{Wong Syie Luing\}, W. and E. Oladimeji and O. Abatan and A.O. Ayeni and O. Agboola and A.A. Ayoola and M.O. Ojewunmi and V.E. Efeovbokhan and L. Olagoke-Oladokun and O.A. Odunlami",

note = "Funding Information: Acknowledgments We would like to thank all the contributors that helped over the years in the shaping of Gasific libraries, in particular Prof. Arshad Ahmad, Dr. Tuan Amran Tuan Abdullah, and Dr. Anwar Johari. This work has been partially funded by the Covenant University, Ota, Nigeria. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Energy and Biochemical Engineering, ICEBE 2021 ; Conference date: 27-09-2021 Through 29-09-2021",

year = "2022",

doi = "10.1007/978-3-030-95820-6\_28",

language = "English",

isbn = "9783030958190",

series = "Green Energy and Technology",

publisher = "Springer",

pages = "335--353",

editor = "Ayeni, \{Augustine O.\} and Olagoke Oladokun and Orodu, \{Oyinkepreye David\}",

booktitle = "Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation",

address = "Germany",

}

Oladokun, O, Nyakuma, B, Wong Syie Luing, W, Oladimeji, E, Abatan, O, Ayeni, AO, Agboola, O, Ayoola, AA, Ojewunmi, MO, Efeovbokhan, VE, Olagoke-Oladokun, L & Odunlami, OA 2022, Gasific: A Python Tool for Biomass Gasification Process. in AO Ayeni, O Oladokun & OD Orodu (eds), Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation. Green Energy and Technology, Springer, pp. 335-353, 1st International Conference on Energy and Biochemical Engineering, ICEBE 2021, Ota, Nigeria, 27/09/21. https://doi.org/10.1007/978-3-030-95820-6_28

Gasific: A Python Tool for Biomass Gasification Process. / Oladokun, O.; Nyakuma, B.; Wong Syie Luing, W. et al.
Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation. ed. / Augustine O. Ayeni; Olagoke Oladokun; Oyinkepreye David Orodu. Springer, 2022. p. 335-353 (Green Energy and Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Gasific

T2 - 1st International Conference on Energy and Biochemical Engineering, ICEBE 2021

AU - Oladokun, O.

AU - Nyakuma, B.

AU - Wong Syie Luing, W.

AU - Oladimeji, E.

AU - Abatan, O.

AU - Ayeni, A.O.

AU - Agboola, O.

AU - Ayoola, A.A.

AU - Ojewunmi, M.O.

AU - Efeovbokhan, V.E.

AU - Olagoke-Oladokun, L.

AU - Odunlami, O.A.

N1 - Funding Information: Acknowledgments We would like to thank all the contributors that helped over the years in the shaping of Gasific libraries, in particular Prof. Arshad Ahmad, Dr. Tuan Amran Tuan Abdullah, and Dr. Anwar Johari. This work has been partially funded by the Covenant University, Ota, Nigeria. Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

PY - 2022

Y1 - 2022

N2 - Biomass gasification and the production of syngas are important in the production of biohydrogen, a green fuel and an energy carrier for the fuel cell. The tool for the prediction of biohydrogen production from any biomass should be readily available to determine the viability of such biomass for gasification. The software implementing a robust gasification model is complex, proprietary, and expensive. In order to solve this problem, we developed Gasific, a software module for simple, free, and accurate biomass gasification product gas prediction. Gasific, implemented biomass gasification, stoichiometric equilibrium models, in Python and runs on a variety of platforms. We discussed the application of Gasific on biomass wastes, namely, Imperata cylindrica; the simulation shows good performance in predicting the gas composition product of gasification. The developed software and the code can be modified and applied to other scientific models and transform the models into software applications.

AB - Biomass gasification and the production of syngas are important in the production of biohydrogen, a green fuel and an energy carrier for the fuel cell. The tool for the prediction of biohydrogen production from any biomass should be readily available to determine the viability of such biomass for gasification. The software implementing a robust gasification model is complex, proprietary, and expensive. In order to solve this problem, we developed Gasific, a software module for simple, free, and accurate biomass gasification product gas prediction. Gasific, implemented biomass gasification, stoichiometric equilibrium models, in Python and runs on a variety of platforms. We discussed the application of Gasific on biomass wastes, namely, Imperata cylindrica; the simulation shows good performance in predicting the gas composition product of gasification. The developed software and the code can be modified and applied to other scientific models and transform the models into software applications.

KW - Biomass

KW - Gasification

KW - Model

KW - Python

KW - Stoichiometric equilibrium model

UR - https://www.scopus.com/pages/publications/85130307712

U2 - 10.1007/978-3-030-95820-6_28

DO - 10.1007/978-3-030-95820-6_28

M3 - Conference contribution

AN - SCOPUS:85130307712

SN - 9783030958190

T3 - Green Energy and Technology

SP - 335

EP - 353

BT - Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation

A2 - Ayeni, Augustine O.

A2 - Oladokun, Olagoke

A2 - Orodu, Oyinkepreye David

PB - Springer

Y2 - 27 September 2021 through 29 September 2021

ER -

Oladokun O, Nyakuma B, Wong Syie Luing W, Oladimeji E, Abatan O, Ayeni AO et al. Gasific: A Python Tool for Biomass Gasification Process. In Ayeni AO, Oladokun O, Orodu OD, editors, Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing - Application Tools for Design, Operation, Cost Management, and Environmental Remediation. Springer. 2022. p. 335-353. (Green Energy and Technology). doi: 10.1007/978-3-030-95820-6_28

Gasific: A Python Tool for Biomass Gasification Process

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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Cite this