Abstract
The conversion of wastes specially (plastic and food waste) for energy and value-added products through gasification is under investigation. This investigation configures an integrated simulation process model for steam gasification, syngas treatment, methanol production and purification for plastic waste ((Polyethylene(PE) + polyethylene terephthalate (PET)), food waste (vegetable and fruits) and their blend using a simulation tool Aspen Plus®. The impact of three process parameters such as temperature (650–900 °C), steam/feedstock ratio (1.0–2.0) and CaO/feedstock ratio (0.5–2.0), on syngas composition and downstream product methanol. H2 and methanol yield increases with the increase of temperature in all cases. In the case of plastic, H2 and methanol yield were increased from 75.68 to 92.77 kmol/h and 709.60 to 960.13 kg/h respectively with the injection of steam flowrate. A similar H2 and methanol yield trend was obtained for food and mixture of plastic and food waste with a little variation. In the case of food waste, methanol has ascending order and maximum final methanol production 476.56 kg/h at 1800 kg/h steam flowrate. The gas composition profile which define the H2-CO/CO + CO2 ratio increase from 1.27 to 1.88 governing methanol production for plastic. CaO is added to capture the CO2 to get the augmented syngas composition for methanol production. The general trend of H2 production was ascending, whereas methanol is descending with an increase of temperature and CaO flowrate for most cases. Maximum 978 kg/h MeOH noticed at temperature of 700 °C, steam flowrate of 1000 kg/h and CaO flowrate of 500 kg/h for plastic. Although, its flowrate extensively affected the CO and CO2 flowrates that need to be optimized for a desired composition to maintain a good H2-CO/CO + CO2 ratio for methanol production.
| Original language | English |
|---|---|
| Article number | 128640 |
| Journal | Fuel |
| Volume | 349 |
| DOIs | |
| Publication status | Published - 1 Oct 2023 |
| MoE publication type | A1 Journal article-refereed |
Funding
This research work was funded by Institutional Fund Projects under grant No. (IFPIP:628-135-1443). The authors gratefully acknowledge technical and financial support provided by the Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Aspen Plus modelling
- Food waste
- Methanol
- Municipal waste
- Plastic
- Syngas
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