UPM Institutional Repository

Simulation of total dust emission from palm oil mills in Malaysia using biomass fuel composition and dust collector efficiency models.


Citation

Yau, Chwan Kun and Abdullah, Ahmad Makmom (2013) Simulation of total dust emission from palm oil mills in Malaysia using biomass fuel composition and dust collector efficiency models. International Journal of Energy and Environmental Engineering, 4. art. no. 19. pp. 1-13. ISSN 2251-6832; ESSN: 2008-9163

Abstract

Palm oil mills are generally self-sufficient in terms of energy. However, burning of biomass fuel in a boiler has generated serious air pollution problem due to inappropriate boiler operation and inefficient dust collection system. This study aims to simulate the total dust emission from palm oil mills in Malaysia by modelling biomass fuel composition and dust collector efficiency. It has been found that before removal, the simulated average dust load after biomass boiler was 51.67 ± 5.39 g/s at a confidence level of 95%, and total dust load was 389,961 tonnes/year. Simulation values of total dust emission at different percentages of dust collector efficiency at 60%, 70%, 80%, 90% and 95% were 155,984, 116,988, 77,992, 38,996 and 19,498 tonnes/year, respectively. The simulation has also shown that dust concentration at a boiler outlet was 4.5 g/Nm3. From the study, dust removal efficiency should be above 91% to ensure the compliance of dust concentration at 0.4 g/Nm3 as prescribed by the Environment Quality (Clean Air) Regulations of 1978. Whereas in 2009, Sabah state has processed the most quantities of fresh fruit bunches; it has posed a potential impact on the environment and public in terms of total dust emission. Besides stack sampling that is used to monitor dust emission status, simulation can be a more simple way and an alternative to estimate the emission.


Download File

[img]
Preview
PDF (Abstract)
Simulation of total dust emission from palm oil mills in Malaysia using biomass fuel composition and dust collector efficiency models.pdf

Download (84kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Environmental Studies
DOI Number: https://doi.org/10.1186/2251-6832-4-19
Publisher: Springer
Keywords: Boiler; Biomass; Dust collector efficiency; Palm oil mill.
Depositing User: Khairil Ridzuan Khahirullah
Date Deposited: 10 Jul 2014 01:33
Last Modified: 26 Oct 2015 02:33
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1186/2251-6832-4-19
URI: http://psasir.upm.edu.my/id/eprint/28930
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item