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Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics

Deteriorating trend of coal supply quality has broadened the supply-demand gap, forcing coal power plants to diversify and strategize its fuel supply. The new developments in fuel supply result in power plants having to utilize off-design coals, often with compromising quality, which may result in u...

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Main Author: Noor Akma Watie Mohd Noor, Cik
Format: text::Thesis
Language:English
Published: 2023
Subjects:
Computational Fluid Dynamic
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spelling my.uniten.dspace-196242023-05-04T20:52:39Z Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics Noor Akma Watie Mohd Noor, Cik Computational Fluid Dynamic Deteriorating trend of coal supply quality has broadened the supply-demand gap, forcing coal power plants to diversify and strategize its fuel supply. The new developments in fuel supply result in power plants having to utilize off-design coals, often with compromising quality, which may result in unplanned outages due to slagging and fouling. Blending “good” and “bad” coal is a strategy which addresses the cost and security of supply, at a desired quality, to ensure the power plant operates at its desired efficiency and with minimal operational upsets. Previous reported experience in coal blending has shown that the combustion behaviour of coal blends is complex and still not well understood. The main issue with firing blended coals in power plants is the non-additive behaviour between the component coals. In this research, the performance of blended coal was investigated using computational fluid dynamic (CFD). Combustion of different coal blends are applied to a full-scale, tangential-fired boiler of a power plant. CFD models were built based on the design of the actual furnace in operation and the results are validated using measurements from the boiler and operational data. The data used for validation were flame temperature, furnace exit gas temperature (FEGT) and rear pass gas temperature. These are the main parameters that affect boiler performance. The model was then used to predict the behaviour of other parameters such as flame temperature, FEGT, velocity magnitude in the furnace and O2 and CO mass fraction. Two coals and their blends were studied: Malinau and MHU, both are sub-bituminous coals from Indonesia. For validation purposes, two coals were simulated and analysed: (i) Adaro as a designed coal and (ii) Tabang blend, the first blended coal used in this boiler. Good agreement was found for the comparison between predictions and temperature distribution through in-furnace temperature profiling measurements, excluding the flame temperatures which are 9.5% higher than the predicted value. Based on the validated model, the blended coal combustion performance prediction for Malinau and MHU was performed in the ratio of 50:50 by weight. The prediction shows that firing blends of Malinau and MHU can improve the combustion performance up to 13% as compared to firing single Malinau and MHU separately by analysing their temperature profiles and CO levels. The results show that coal blending combustion can be an effective way for improving combustion behaviour of non-preferred coals. 2023-05-03T13:41:50Z 2023-05-03T13:41:50Z 2021-11 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/19624 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Computational Fluid Dynamic
spellingShingle Computational Fluid Dynamic
Noor Akma Watie Mohd Noor, Cik
Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics
description Deteriorating trend of coal supply quality has broadened the supply-demand gap, forcing coal power plants to diversify and strategize its fuel supply. The new developments in fuel supply result in power plants having to utilize off-design coals, often with compromising quality, which may result in unplanned outages due to slagging and fouling. Blending “good” and “bad” coal is a strategy which addresses the cost and security of supply, at a desired quality, to ensure the power plant operates at its desired efficiency and with minimal operational upsets. Previous reported experience in coal blending has shown that the combustion behaviour of coal blends is complex and still not well understood. The main issue with firing blended coals in power plants is the non-additive behaviour between the component coals. In this research, the performance of blended coal was investigated using computational fluid dynamic (CFD). Combustion of different coal blends are applied to a full-scale, tangential-fired boiler of a power plant. CFD models were built based on the design of the actual furnace in operation and the results are validated using measurements from the boiler and operational data. The data used for validation were flame temperature, furnace exit gas temperature (FEGT) and rear pass gas temperature. These are the main parameters that affect boiler performance. The model was then used to predict the behaviour of other parameters such as flame temperature, FEGT, velocity magnitude in the furnace and O2 and CO mass fraction. Two coals and their blends were studied: Malinau and MHU, both are sub-bituminous coals from Indonesia. For validation purposes, two coals were simulated and analysed: (i) Adaro as a designed coal and (ii) Tabang blend, the first blended coal used in this boiler. Good agreement was found for the comparison between predictions and temperature distribution through in-furnace temperature profiling measurements, excluding the flame temperatures which are 9.5% higher than the predicted value. Based on the validated model, the blended coal combustion performance prediction for Malinau and MHU was performed in the ratio of 50:50 by weight. The prediction shows that firing blends of Malinau and MHU can improve the combustion performance up to 13% as compared to firing single Malinau and MHU separately by analysing their temperature profiles and CO levels. The results show that coal blending combustion can be an effective way for improving combustion behaviour of non-preferred coals.
format Resource Types::text::Thesis
author Noor Akma Watie Mohd Noor, Cik
author_facet Noor Akma Watie Mohd Noor, Cik
author_sort Noor Akma Watie Mohd Noor, Cik
title Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics
title_short Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics
title_full Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics
title_fullStr Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics
title_full_unstemmed Modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics
title_sort modelling of single and blended coal combustion for tangential-fired boiler using computational fluid dynamics
publishDate 2023
_version_ 1806426203126497280
score 13.222552

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