LAPSE:2018.0872
Published Article
LAPSE:2018.0872
Computational Fluid Dynamic Analysis of Co-Firing of Palm Kernel Shell and Coal
Muhammad Aziz, Dwika Budianto, Takuya Oda
November 27, 2018
The increasing global demand for palm oil and its products has led to a significant growth in palm plantations and palm oil production. Unfortunately, these bring serious environmental problems, largely because of the large amounts of waste material produced, including palm kernel shell (PKS). In this study, we used computational fluid dynamics (CFD) to investigate the PKS co-firing of a 300 MWe pulverized coal-fired power plant in terms of thermal behavior of the plant and the CO₂, CO, O₂, NOx, and SOx produced. Five different PKS mass fractions were evaluated: 0%, 10%, 15%, 25%, and 50%. The results suggest that PKS co-firing is favorable in terms of both thermal behavior and exhaust gas emissions. A PKS mass fraction of 25% showed the best combustion characteristics in terms of temperature and the production of CO₂, CO, and SOx. However, relatively large amounts of thermal NOx were produced by high temperature oxidation. Considering all these factors, PKS mass fractions of 10%⁻15% emerged as the most appropriate co-firing condition. The PKS supply capacity of the palm mills surrounding the power plants is a further parameter to be considered when setting the fuel mix.
Keywords
co-firing, Coal, computational fluid dynamics (CFD), exhaust gases, mass fraction, palm kernel shell (PKS), temperature
Suggested Citation
Aziz M, Budianto D, Oda T. Computational Fluid Dynamic Analysis of Co-Firing of Palm Kernel Shell and Coal. (2018). LAPSE:2018.0872
Author Affiliations
Aziz M: Advanced Energy Systems for Sustainability, Tokyo Institute of Technology, Tokyo 152-8550, Japan [ORCID]
Budianto D: Agency for the Assessment and Application of Technology (BPPT), Jakarta 10340, Indonesia
Oda T: Advanced Energy Systems for Sustainability, Tokyo Institute of Technology, Tokyo 152-8550, Japan
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Journal Name
Energies
Volume
9
Issue
3
Article Number
E137
Year
2016
Publication Date
2016-02-26
Published Version
ISSN
1996-1073
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Original Submission
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PII: en9030137, Publication Type: Journal Article
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LAPSE:2018.0872
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doi:10.3390/en9030137
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Nov 27, 2018
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Nov 27, 2018
 
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Calvin Tsay
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