Analysis of syngas and power production from tannery waste via gasification process using integrated thermal equilibrium simulation model

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openAccess

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Volume Title

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Date

2024-12

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Mcode

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Language

en

Pages

14

Series

Case Studies in Thermal Engineering, Volume 64

Abstract

Managing high-ash sludge from tanneries is a significant challenge and requires investigating their conversion to valuable goods. This study explores the use of gasification processes to convert tannery waste into syngas and the use of syngas for power generation. In this respect, the integrated process thermal equilibrium simulation model has been developed using the Aspen Plus® V12. This model consists of (1) a steam gasification model for syngas production and (2) a power generation model for converting syngas into electricity. In addition, sensitivity analysis has been carried out to determine the effects of temperature (650–900 °C), steam flow (500–2000 kg/h), and CaO flow (0.1500 kg/h) on the composition and power generation of syngas. Changes in steam flow rate at constant temperature (cao flow rate 1500 kg/h) show an increase in H2 content to 80 % and a decline in CO and CH4 content. This increases total power output from 3680 kW to 4001 kW, temperature increases from 650 to 900 °C, and steam flow increases from 500 to 2000 kg/h from 3500 to 4600 kW. Finally, the impact of CaO as a sorbent is significant in electricity generation and CO2 mitigation, increasing to over 600 kW of energy output. This work could contribute to converting waste into energy, which could have a significant financial impact on the tannery industry.

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Publisher Copyright: © 2024 The Authors

Keywords

Aspen plus, Gas turbine, Power generation, Steam turbine, Syngas, Tanneries waste

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Citation

Shahbaz, M, Inayat, M, Juchelkov, D, Ahmed, U, Hughes, D, Ali, I & Naqvi, S R 2024, ' Analysis of syngas and power production from tannery waste via gasification process using integrated thermal equilibrium simulation model ', Case Studies in Thermal Engineering, vol. 64, 105447 . https://doi.org/10.1016/j.csite.2024.105447