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.

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.

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    Abstract

    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).

    Item Type: Monograph (Project Report)
    Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1 Mechanical engineering and machinery
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Mekanikal (School of Mechanical Engineering)
    Depositing User: ARKM Al Rashid Automasi
    Date Deposited: 25 Jun 2009 09:35
    Last Modified: 13 Jul 2013 12:28
    URI: http://eprints.usm.my/id/eprint/10665

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