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

• Main Authors: Yau, Chwan Kun, Abdullah, Ahmad Makmom
• Format: Article
• Language: English; English
• Published: Springer 2013
• Online Access: http://psasir.upm.edu.my/id/eprint/28930/1/Simulation%20of%20total%20dust%20emission%20from%20palm%20oil%20mills%20in%20Malaysia%20using%20biomass%20fuel%20composition%20and%20dust%20collector%20efficiency%20models.pdf; http://psasir.upm.edu.my/id/eprint/28930/; http://www.journal-ijeee.com/content/4/April/2013

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.