Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Image Analysis of Sludge Aggregates in Palm Oil Mill Effluent (POME)

Rizal Song, Ian Norman (2015) Image Analysis of Sludge Aggregates in Palm Oil Mill Effluent (POME). IRC, Universiti Teknologi PETRONAS. (Unpublished)

[img]
Preview
PDF
Download (1985Kb) | Preview

Abstract

Palm oil mill effluent (POME) is a wastewater produced by palm oil milling activities which generated from crude oil clarification process, sterilization process and cracked mixture separation process. Palm oil mill effluent (POME) is a highly polluting material and activated sludge system is now commonly used for the process of purification of the wastewater. Activated sludge system is a complex ecosystem in which the efficiency is quite dependent on the operating conditions of the process. Due to its complexity, any imbalance between the different types of microorganism may take place and affect the efficiency of the plant with profound economic and environmental consequences. To observe and regulate activated sludge system, bright field microscopy is acquired to monitor the sludge aggregates in palm oil mill effluent (POME). Furthermore, the association of image processing and analysis methodologies with microscopy allows a precise evaluation of the activated sludge status. The most common problems on activated sludge is filamentous bulking due to the extensive growth of the filamentous bacteria which led to poor sludge settling ability and poor thickening characteristics of the sludge thus increase the sludge volume index (SVI). Therefore, the main objectives of the research work is to develop image analysis algorithm by using Matlab in order to identify aggregates characterization in activated sludge system and to develop a correlation between image data obtained and sludge volume index (SVI) for POME. In this research work, two samples will be obtained which are fresh POME collected from the mill and POME undergo Fenton Reagent process. A few process will be prepared for the sample collected namely calculating sludge volume index, image acquisition using microscopy, image processing and analysis, identify image analysis parameter and plot the correlation between SVI with determine parameter. By conducting this research, image analysis algorithm can be developed to monitor sludge aggregates in POME. Thus, this algorithm can be used to identify bulking problems in the POME and establish the true nature of the phenomenon occurring inside the activated sludge system which normally will affect the quality of the effluent

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Separation Process
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 02 Nov 2015 15:55
Last Modified: 25 Jan 2017 09:36
URI: http://utpedia.utp.edu.my/id/eprint/15794

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...