Simulation of the pyrolysis process using blend of date seeds and coffee waste as biomass

Raza, Mohsin, Inayat, Abrar, Al Jaberi, Bushra, Said, Zafar and Ghenai, Chaouki (2020) Simulation of the pyrolysis process using blend of date seeds and coffee waste as biomass. In: 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020. 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020 . The Institute of Electrical and Electronics Engineers (IEEE), ARE. ISBN 9781728146409

Full text not available from this repository. (Request a copy)

Abstract

the undertaken research study comprises of a pyrolysis process of a blend of date seeds (DS) and coffee waste (CW) using the Aspen HYSYS software. A flowsheet has been developed in Aspen HYSYS to assess the pyrolysis production using three different weight percentages of date seeds and coffee waste. The effect of the pyrolysis operating temperature on the pyrolysis products has been investigated by adjusting the temperature in a controlled range of 300°C to 500 °C. The simulation model computes the yield of bio-oil, bio-char and gases, in three different cases of two biomass blends. The results show that with increasing the pyrolysis operating temperature, gases and bio-oil production increases linearly till 450°C, after that the gases production rate increases while the bio-oil production rate decreases. Contrary to that, the bio-char production rate decreases with increasing the temperature. Moreover, for favorable gases and bio-char production, coffee waste weight percentage must be increased, while for increased bio-oil production date seeds waste weight percentage must be increased.

Item Type: Book Section
Additional Information: Publisher Copyright: © 2020 IEEE.
Uncontrolled Keywords: aspen hysys,biomass,coffee waste,date seeds,hydrogen,pyrolysis,simulation,electrical and electronic engineering,industrial and manufacturing engineering,mechanical engineering,waste management and disposal,process chemistry and technology,artificial intelligence,energy engineering and power technology,renewable energy, sustainability and the environment ,/dk/atira/pure/subjectarea/asjc/2200/2208
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 16 Jun 2025 10:31
Last Modified: 17 Jun 2025 06:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/99543
DOI: 10.1109/ASET48392.2020.9118292

Actions (login required)

View Item View Item