@article{Hernowo_Rasrendra_Budhi_Rizkiana_Irawan_Marno_Meliana_Muraza_Bindar_2022, title={Volatile State Mathematical Models for Predicting Components in Biomass Pyrolysis Products}, volume={54}, url={https://journals.itb.ac.id/index.php/jets/article/view/15878}, DOI={10.5614/j.eng.technol.sci.2022.54.1.8}, abstractNote={<p>Volatile state mathematical models for quantifying the chemical components in volatile biomass pyrolysis products were developed. The component mass yield <em>Y<sub>i</sub></em> 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 <em>y<sub>i</sub></em> 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.</p>}, number={1}, journal={Journal of Engineering and Technological Sciences}, author={Hernowo, Pandit and Rasrendra, Carolus B. and Budhi, Yogi W. and Rizkiana, Jenny and Irawan, Anton and Marno, Septhian and Meliana, Yana and Muraza, Oki and Bindar, Yazid}, year={2022}, month={Feb.}, pages={220108} }