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Renewable Energy
Article . 2019 . Peer-reviewed
License: Elsevier TDM
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Pyrolysis of high ash sewage sludge: Kinetics and thermodynamic analysis using Coats-Redfern method

kinetics and thermodynamic analysis using Coats-Redfern method
Authors: Rumaisa Tariq; Syed Ali Ammar Taqvi; Syed Ali Ammar Taqvi; Imtiaz Ali; Harith Rashid; Salman Raza Naqvi; Salman Raza Naqvi; +6 Authors

Pyrolysis of high ash sewage sludge: Kinetics and thermodynamic analysis using Coats-Redfern method

Abstract

This study aims to investigate the thermo-kinetics of high-ash sewage sludge using thermogravimetric analysis. Sewage sludge was dried, pulverized and heated non-isothermally from 25 to 800 °C at different heating rates (5, 10 and 20 °C/min) in N2 atmosphere. TG and DTG results indicate that the sewage sludge pyrolysis may be divided into three stages. Coats-Redfern integral method was applied in the 2nd and 3rd stage to estimate the activation energy and pre-exponential factor from mass loss data using five major reaction mechanisms. The low-temperature stable components (LTSC) of the sewage sludge degraded in the temperature regime of 250–450 °C while high-temperature stable components (HTSC) decomposed in the temperature range of 450–700 °C. According to the results, first-order reaction model (F1) showed higher Ea with better R2 for all heating rates. D3, N1, and S1 produced higher Ea at higher heating rates for LTSC pyrolysis and lower Ea with the increase of heating rates for HTSC pyrolysis. All models showed positive ΔH except F1.5. Among all models, Diffusion (D1, D2, D3) and phase interfacial models (S1, S2) showed higher ΔG as compared to reaction, nucleation, and power-law models in section I and section II.

Countries
Turkey, Turkey, Netherlands
Keywords

Sustainability and the Environment, Thermogravimetric analysis, Thermodynamic parameters, n/a OA procedure, Kinetics, SDG 7 - Affordable and Clean Energy, Renewable Energy, Sewage sludge, SDG 7 – Betaalbare en schone energie, Pyrolysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
321
Top 0.1%
Top 1%
Top 0.1%
9