Particulate Emission from Biomass Fuel Combustion

Abstract:

The remarkable growth of palm oil industry in Malaysia is undeniable. Approximately, one million ton of crude palm oil is produced by the industry in a month, thus put Malaysia as one of the largest producer in the world. Most of the mills are operated on cogeneration system, where the biomass residue of palm fibre and shell are used as fuel in the mill boilers mostly to generate steam and also electricity. This practise however produced considerable amount of particulates in terms of fly ash emitting to the environment. Thus, this study is to evaluate the particulate emission from five palm oil mill boilers with steam capacity ranging from 17-35 tonne/h. The results showed that the average particulate emission concentration exiting the stack was 2.21±1.20 g/Nm³ (corrected to 7% oxygen concentration), ranging from 0.42 to 3.77 g/Nm³. The study suggests that the fuel feed rates of fiber and shell was one of the parameters affecting the emission concentration in the boiler. Particulate morphology were also being presented in this study.

• Periodical: Advanced Materials Research (Volume 1125)
• Pages: 322-326
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1125.322
• Online since: October 2015
• Authors: J. Nor Ruwaida, M. Rashid*, M.M. Syahirah
• Keywords: Air Pollution, Biomass, Boiler, Palm Oil Mill, Particulate Emission

References

[1] O. Sippula. (2010). Fine Particle Formation and Emission in Biomass Combustion (Publish dissertation). University of Eastern Finland, Finland.

[2] L. S. Johansson. (2002). Characterisation of Particle Emissions from Small-Scale Biomass Combustion (Publish dissertation). Chalmers University of Technology, Sweden.

[3] M. Rashid, M.M. Syahirah, J. NorRuwaida and N. Huda. Characteristics of Particulate Emission from a Biomass Fired Boiler. Agriculture and Agricultural Science Procedia. 2 (2014) 265-271.

DOI: 10.1016/j.aaspro.2014.11.038

[4] M. Rashid, W. C. Chong, M. Ramli, Z. N. Zainura and J. NorRuwaida. Evaluation of Particulate Emission from a Palm Oil Mill Boiler. Sains Malaysiana. 42(9) (2013) 1289-1292.

[5] A.R. Yusoff and I. A. Aziz. Sensitivity Analysis via Artificial Neural Network of Biomass Boiler Emission. Jurnal Mekanikal. 18 (2004) 66-77.

[6] A. R. Yusoff and I. A. Aziz. Predicting Boiler Emission by Using Artificial Neural Networks. Jurnal Teknologi. 50 (2009) 15-28.

DOI: 10.11113/jt.v50.172

[7] Kun, Y.W., Abdullah, A.M. Simulation of Total Dust Emission from Palm Oil Mills in Malaysia Using Biomass Fuel Composition and Dust Collector Efficiency. International Journal of Energy and Environmental Engineering. 4 (2013) 19-3.

DOI: 10.1186/2251-6832-4-19

[8] M. Rashid, M. Ramli and M. Rozainee. A Field Evaluation of Particulate Emission Concentrations in Palm Oil Mill Boilers. Jurnal Teknologi. 29 (1998) 1-6.

DOI: 10.11113/jt.v29.1090