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Volatile State Mathematical Models for Predicting Components in Biomass Pyrolysis Products

Journal of Engineering and Technological Sciences · Vol. 54 No. 1 (2022)

DOI
10.5614/j.eng.technol.sci.2022.54.1.8
ISSN
2338-5502, 2337-5779
Terbit
2022-02-02
Penerbit
Directorate for Research and Community Services, Institut Teknologi Bandung
Bahasa
eng

Abstrak

Volatile state mathematical models for quantifying the chemical components in volatile biomass pyrolysis products were developed. The component mass yield Yi rate depends linearly on its pseudo kinetic constant and the remaining mass yield. The mass fraction rate of each component was modeled from the derivation of its mass yield rate equation. A new mathematical model equation was successfully developed. The involved variables are: biomass number, temperature, heating rate, pre-exponential factor, and pseudo activation energy related to each component. The component mass fraction yi and the mass yield were predicted using this model within a temperature range. Available experimental pyrolysis data for beechwood and rice husk biomass were used to confirm the developed model. The volatile products were separated into bio-pyrolysis gas (BPG) and a bio-pyrolysis oil (BPO). Five components in the BPG and forty in the BPO were quantified. The pseudo activation energy for each pseudo chemical reaction for a specific component was modeled as a polynomial function of temperature. The component mass fraction and yield are quantifiable using this developed mathematical model equation within a temperature range. The predicted component mass fractions and yields agreed excellently with the available experimental data.

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  • Bandung Institute of Technology
  • Universitas Pertamina
  • Sultan Ageng Tirtayasa University
  • Universitas Negeri Padang
  • Pertamina (Indonesia)
  • IPB University
  • Institut Teknologi Sepuluh Nopember
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Rekan penulisOrganisasiArtikel bersama
Subagjo SubagjoBandung Institute of Technology6
Mohammad EffendyBandung Institute of Technology6
Hafid AlwanSultan Ageng Tirtayasa University4
Teguh KurniawanSultan Ageng Tirtayasa University4
Tirto PrakosoBandung Institute of Technology2
Tjokorde Walmiki SamadhiBandung Institute of Technology2
Asep Bayu Dani NandiyantoIndonesia University of Education2
Darisman DarismanSultan Ageng Tirtayasa University2
Dina PujiantiSultan Ageng Tirtayasa University2
Muhammad Saifullah Abu BakarUniversiti Brunei Darussalam2
Herri SusantoBandung Institute of Technology2
I. G. B. N. MakertiharthaBandung Institute of Technology2
Elvi RestiawatyBandung Institute of Technology2
Elfa Susanti ThamrinSumatera Institute of Technology1
Endang WarsikiIPB University1
Ono SuparnoIPB University1
Nelliza PutriUniversitas Pertamina1
Nila Tanyela BerghuisUniversitas Pertamina1
Anggun Kirana Devi Shaenazha PutriUniversitas Pertamina1
Eng Paramita Jaya RatriUniversitas Pertamina1
Syiffa AssatyasUniversitas Pertamina1
Eng Bayu PrabowoUniversitas Pertamina1
Muji SetiyoUniversitas Muhammadiyah Magelang1
Bambang SudarmantaInstitut Teknologi Sepuluh Nopember1
Randi Purnama PutraUniversitas Negeri Padang1
Dori YuvendaUniversitas Negeri Padang1
Jamaludin JamaludinInstitut Teknologi Sepuluh Nopember1
Remon LapisaUniversitas Negeri Padang1
Krismadinata KrismadinataUniversitas Negeri Padang1
Rahadian ZainulUniversitas Negeri Padang1
Asnil AsnilAndalas University1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jets/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Volatile State Mathematical Models for Predicting Components in Biomass Pyrolysis Products</dc:title>
	<dc:creator>Hernowo, Pandit</dc:creator>
	<dc:creator>Rasrendra, Carolus B. </dc:creator>
	<dc:creator>Budhi, Yogi W.</dc:creator>
	<dc:creator>Rizkiana, Jenny</dc:creator>
	<dc:creator>Irawan, Anton </dc:creator>
	<dc:creator>Marno, Septhian</dc:creator>
	<dc:creator>Meliana, Yana </dc:creator>
	<dc:creator>Muraza, Oki </dc:creator>
	<dc:creator>Bindar, Yazid</dc:creator>
	<dc:subject xml:lang="en-US">biomass pyrolysis</dc:subject>
	<dc:subject xml:lang="en-US">bio-pyrolysis gaseous</dc:subject>
	<dc:subject xml:lang="en-US">bio-pyrolysis oils</dc:subject>
	<dc:subject xml:lang="en-US">volatile state component models</dc:subject>
	<dc:subject xml:lang="en-US">Chemical Engineering</dc:subject>
	<dc:description xml:lang="en-US">Volatile state mathematical models for quantifying the chemical components in volatile biomass pyrolysis products were developed. The component mass yield Yi rate depends linearly on its pseudo kinetic constant and the remaining mass yield. The mass fraction rate of each component was modeled from the derivation of its mass yield rate equation. A new mathematical model equation was successfully developed. The involved variables are: biomass number, temperature, heating rate, pre-exponential factor, and pseudo activation energy related to each component. The component mass fraction yi and the mass yield were predicted using this model within a temperature range. Available experimental pyrolysis data for beechwood and rice husk biomass were used to confirm the developed model. The volatile products were separated into bio-pyrolysis gas (BPG) and a bio-pyrolysis oil (BPO). Five components in the BPG and forty in the BPO were quantified. The pseudo activation energy for each pseudo chemical reaction for a specific component was modeled as a polynomial function of temperature. The component mass fraction and yield are quantifiable using this developed mathematical model equation within a temperature range. The predicted component mass fractions and yields agreed excellently with the available experimental data.</dc:description>
	<dc:publisher xml:lang="en-US">Directorate for Research and Community Services, Institut Teknologi Bandung</dc:publisher>
	<dc:date>2022-02-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jets/article/view/15878</dc:identifier>
	<dc:identifier>10.5614/j.eng.technol.sci.2022.54.1.8</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Engineering and Technological Sciences; Vol. 54 No. 1 (2022); 220108</dc:source>
	<dc:source>2338-5502</dc:source>
	<dc:source>2337-5779</dc:source>
	<dc:source>10.5614/j.eng.technol.sci.2022.54.1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jets/article/view/15878/5635</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Journal of Engineering and Technological Sciences</dc:rights>
</oai_dc:dc>