Lim, C.H. and Mohammed, I.Y. and Abakr, Y.A. and Kazi, F.K. and Yusup, S. and Lam, H.L. (2016) Novel input-output prediction approach for biomass pyrolysis. Journal of Cleaner Production, 136. pp. 51-61. ISSN 09596526
Full text not available from this repository.Abstract
Biomass pyrolysis to bio-oil is one of the promising sustainable fuels. In this work, relation between biomass feedstock element characteristic and pyrolysis process outputs was explored. The element characteristics considered in this study include moisture, ash, fix carbon, volatile matter, carbon, hydrogen, nitrogen, oxygen, and sulphur. A semi-batch fixed bed reactor was used for biomass pyrolysis with heating rate of 30 °C/min from room temperature to 600 °C and the reactor was held at 600 °C for 1 h before cooling down. Constant nitrogen flow rate of 5 L/min was provided for anaerobic condition. Rice husk, Sago biomass and Napier grass were used in the study to form different element characteristic of feedstock by altering mixing ratio. Comparison between each element characteristic to total produced bio-oil yield, aqueous phase bio-oil yield, organic phase bio-oil yield, higher heating value of organic phase bio-oil, and organic bio-oil compounds was conducted. The results demonstrate that process performance is associated with feedstock properties, which can be used as a platform to access the process feedstock element acceptance range to estimate the process outputs. Ultimately, this work evaluated the element acceptance range for proposed biomass pyrolysis technology to integrate alternative biomass species feedstock based on element characteristic to enhance the flexibility of feedstock selection. © 2016 Elsevier Ltd
Item Type: | Article |
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Additional Information: | cited By 29 |
Uncontrolled Keywords: | Biofuels; Calorific value; Chemical reactors; Feedstocks; Nitrogen; Pyrolysis, Anaerobic conditions; Element acceptance range; Element targeting; Feedstock properties; Fixed bed; Higher heating value; Nitrogen flow rates; Process performance, Biomass |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:18 |
Last Modified: | 09 Nov 2023 16:18 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/6690 |