Hj Abdul Azid, Assoc. Prof. Dr Ishak and Seetharamu, Prof. K.N. and Ahmad, Prof. Dr. Abdul Latif and Mohd Ripin, Prof.Madya Zaidi (2000) Controlling The Emission Of Pollution From The Boiler Of Palm Oil Mill By Using Neural Network And Genetic Algorithm. Pengawalan Pencemar Pencemar Udara Dari Dandang Kelapa Sawit Dengan Menggunakan Rangkaian Neural Dan Algoritma Genetik. Project Report. Universiti Sains Malaysia.
The emission released from the palm oil mill in Malaysia has quite significant environmental impact. The use of biomass material from the palm oil byproduct, i.e. fiber and shell as fuel is identified as the main cause of the emission released. Economically, the usage of palm waste material as fuel is seen as productive as this material will not be wasted. However, the combustion process in the furnace of the boiler releases the emission such as particulate matters (PM), carbon Monoxide (CO), Nitrogen Oxide (NOx) and Sulphur Dioxide (SO2).
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