Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass

Andres Philip Mayol, Jose Martin Z. Maningo, Audrey Gayle Alexis Y. Chua-Unsu, Charles B. Felix, Patricia I. Rico, Gundelina S. Chua, Eduardo V. Manalili, Dalisay Dg Fernandez, Joel L. Cuello, Argel A. Bandala, Aristotle Tulagan Ubando, Cynthia F. Madrazo, Elmer Dadios, Alvin B. Culaba

研究成果: Conference contribution

1 引文 (Scopus)

摘要

Pyrolysis kinetics is one way to produce bio-oil and biochar from a biomass product. It is a method to harvest clean energy from a biomass product. Moreover, kinetics and thermal composition of the biomass product is essential for pyrolysis design and optimization. However, industrial pyrolysis process is up to 200°C/min and lab scale pyrolysis temperature is up to 100°C/min. In this study, data from thermogravimetric analysis (TGA) has been utilized and gathered to provide data on algal pyrolysis kinetics. To predict the pyrolysis kinetics at a heating rate of 200°C/min, artificial neural networks (ANN) has been utilized. Results show that ANN predicted the outcome of pyrolysis kinetics which had a correlation with heating rates (10°C, 25°C, and 50°C) of the sample. This is quantified by the correlation coefficient during training which is 0.9972. The average fit quality of the derived model with respect to the experimental data is 98.51%. This work can be improved by considering other hyperparameters for the neural network. This work can also be extended to other compounds besides lablab biomass.

原文English
主出版物標題2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538677674
DOIs
出版狀態Published - 2019 三月 12
事件10th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018 - Baguio City, Philippines
持續時間: 2018 十一月 292018 十二月 2

出版系列

名字2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018

Conference

Conference10th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018
國家Philippines
城市Baguio City
期間18-11-2918-12-02

指紋

neural network
Biomass
Pyrolysis
heat pump
Neural networks
Kinetics
Heating rate
energy
Thermogravimetric analysis
Chemical analysis

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering
  • Human-Computer Interaction
  • Artificial Intelligence
  • Communication
  • Hardware and Architecture

引用此文

Mayol, A. P., Maningo, J. M. Z., Chua-Unsu, A. G. A. Y., Felix, C. B., Rico, P. I., Chua, G. S., ... Culaba, A. B. (2019). Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass. 於 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018 [8666376] (2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HNICEM.2018.8666376
Mayol, Andres Philip ; Maningo, Jose Martin Z. ; Chua-Unsu, Audrey Gayle Alexis Y. ; Felix, Charles B. ; Rico, Patricia I. ; Chua, Gundelina S. ; Manalili, Eduardo V. ; Fernandez, Dalisay Dg ; Cuello, Joel L. ; Bandala, Argel A. ; Ubando, Aristotle Tulagan ; Madrazo, Cynthia F. ; Dadios, Elmer ; Culaba, Alvin B. / Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass. 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018. Institute of Electrical and Electronics Engineers Inc., 2019. (2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018).
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title = "Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass",
abstract = "Pyrolysis kinetics is one way to produce bio-oil and biochar from a biomass product. It is a method to harvest clean energy from a biomass product. Moreover, kinetics and thermal composition of the biomass product is essential for pyrolysis design and optimization. However, industrial pyrolysis process is up to 200°C/min and lab scale pyrolysis temperature is up to 100°C/min. In this study, data from thermogravimetric analysis (TGA) has been utilized and gathered to provide data on algal pyrolysis kinetics. To predict the pyrolysis kinetics at a heating rate of 200°C/min, artificial neural networks (ANN) has been utilized. Results show that ANN predicted the outcome of pyrolysis kinetics which had a correlation with heating rates (10°C, 25°C, and 50°C) of the sample. This is quantified by the correlation coefficient during training which is 0.9972. The average fit quality of the derived model with respect to the experimental data is 98.51{\%}. This work can be improved by considering other hyperparameters for the neural network. This work can also be extended to other compounds besides lablab biomass.",
author = "Mayol, {Andres Philip} and Maningo, {Jose Martin Z.} and Chua-Unsu, {Audrey Gayle Alexis Y.} and Felix, {Charles B.} and Rico, {Patricia I.} and Chua, {Gundelina S.} and Manalili, {Eduardo V.} and Fernandez, {Dalisay Dg} and Cuello, {Joel L.} and Bandala, {Argel A.} and Ubando, {Aristotle Tulagan} and Madrazo, {Cynthia F.} and Elmer Dadios and Culaba, {Alvin B.}",
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Mayol, AP, Maningo, JMZ, Chua-Unsu, AGAY, Felix, CB, Rico, PI, Chua, GS, Manalili, EV, Fernandez, DD, Cuello, JL, Bandala, AA, Ubando, AT, Madrazo, CF, Dadios, E & Culaba, AB 2019, Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass. 於 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018., 8666376, 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018, Institute of Electrical and Electronics Engineers Inc., 10th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018, Baguio City, Philippines, 18-11-29. https://doi.org/10.1109/HNICEM.2018.8666376

Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass. / Mayol, Andres Philip; Maningo, Jose Martin Z.; Chua-Unsu, Audrey Gayle Alexis Y.; Felix, Charles B.; Rico, Patricia I.; Chua, Gundelina S.; Manalili, Eduardo V.; Fernandez, Dalisay Dg; Cuello, Joel L.; Bandala, Argel A.; Ubando, Aristotle Tulagan; Madrazo, Cynthia F.; Dadios, Elmer; Culaba, Alvin B.

2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8666376 (2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018).

研究成果: Conference contribution

TY - GEN

T1 - Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass

AU - Mayol, Andres Philip

AU - Maningo, Jose Martin Z.

AU - Chua-Unsu, Audrey Gayle Alexis Y.

AU - Felix, Charles B.

AU - Rico, Patricia I.

AU - Chua, Gundelina S.

AU - Manalili, Eduardo V.

AU - Fernandez, Dalisay Dg

AU - Cuello, Joel L.

AU - Bandala, Argel A.

AU - Ubando, Aristotle Tulagan

AU - Madrazo, Cynthia F.

AU - Dadios, Elmer

AU - Culaba, Alvin B.

PY - 2019/3/12

Y1 - 2019/3/12

N2 - Pyrolysis kinetics is one way to produce bio-oil and biochar from a biomass product. It is a method to harvest clean energy from a biomass product. Moreover, kinetics and thermal composition of the biomass product is essential for pyrolysis design and optimization. However, industrial pyrolysis process is up to 200°C/min and lab scale pyrolysis temperature is up to 100°C/min. In this study, data from thermogravimetric analysis (TGA) has been utilized and gathered to provide data on algal pyrolysis kinetics. To predict the pyrolysis kinetics at a heating rate of 200°C/min, artificial neural networks (ANN) has been utilized. Results show that ANN predicted the outcome of pyrolysis kinetics which had a correlation with heating rates (10°C, 25°C, and 50°C) of the sample. This is quantified by the correlation coefficient during training which is 0.9972. The average fit quality of the derived model with respect to the experimental data is 98.51%. This work can be improved by considering other hyperparameters for the neural network. This work can also be extended to other compounds besides lablab biomass.

AB - Pyrolysis kinetics is one way to produce bio-oil and biochar from a biomass product. It is a method to harvest clean energy from a biomass product. Moreover, kinetics and thermal composition of the biomass product is essential for pyrolysis design and optimization. However, industrial pyrolysis process is up to 200°C/min and lab scale pyrolysis temperature is up to 100°C/min. In this study, data from thermogravimetric analysis (TGA) has been utilized and gathered to provide data on algal pyrolysis kinetics. To predict the pyrolysis kinetics at a heating rate of 200°C/min, artificial neural networks (ANN) has been utilized. Results show that ANN predicted the outcome of pyrolysis kinetics which had a correlation with heating rates (10°C, 25°C, and 50°C) of the sample. This is quantified by the correlation coefficient during training which is 0.9972. The average fit quality of the derived model with respect to the experimental data is 98.51%. This work can be improved by considering other hyperparameters for the neural network. This work can also be extended to other compounds besides lablab biomass.

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U2 - 10.1109/HNICEM.2018.8666376

DO - 10.1109/HNICEM.2018.8666376

M3 - Conference contribution

AN - SCOPUS:85064124700

T3 - 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018

BT - 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Mayol AP, Maningo JMZ, Chua-Unsu AGAY, Felix CB, Rico PI, Chua GS 等. Application of artificial neural networks in prediction of pyrolysis behavior for algal mat (LABLAB) biomass. 於 2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018. Institute of Electrical and Electronics Engineers Inc. 2019. 8666376. (2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2018). https://doi.org/10.1109/HNICEM.2018.8666376