MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04640nam a2200349 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MY-KuUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251125105943.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
a||||fr|||| 001 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220328t20212021my a|||fram|| 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
THE0009245(Local) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMP |
| Language of cataloging |
eng |
| Transcribing agency |
UMP |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
KK .F35 2021 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mohd Faizan Jamaluddin, |
| Relator term |
author. |
| 245 04 - TITLE STATEMENT |
|---|
| Title |
The evaluation of biogas production from sewage sludge in industrial sewage treatment plant / |
| Statement of responsibility, etc. |
Mohd Faizan Jamaluddin |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Kuantan, Pahang : |
| Name of producer, publisher, distributor, manufacturer |
UMP, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2021 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
© 2021 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 194 pages : |
| Other physical details |
illustrations (some color) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD-ROM. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 500 ## - GENERAL NOTE |
|---|
| General note |
College of Engineering |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (Doctor of Philosophy) -- Universiti Malaysia Pahang – 2021 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Anaerobic digestion (AD) of sewage sludge has become favoured technology in wastewater treatment system due to its efficiency and its potential in renewable energy sector. However, the digestion process is so delicate and easy to be interrupted or even hindered due to microbe availability. The process troubleshoots in industrial scale required scrupulous procedure to avoid extra process which required an increase cost. In this study, the real scale digester was scale down to pilot scale unit with the assistance of IWK to prevent major error in large scale troubleshooting. The 40-l pilot digester was built using stainless steel 304SS with factor of 13,000 based on IWK digester design. The novelty of this study is the using of statistical approach in pilot scale study to improve and troubleshoot the digestion performance. At first, the utilized sludge in treatment plant was investigated to trace the abnormality in sludge characteristic. The inlet sludge was found to be performing better than digestate in several test even with lower characteristic value. The biogas production was measured and analysed using gas chromatography (GC) equipment. The statistical approach to improve the process was then applied to analyse the parameter effects in two treatment plants. The factorial analysis was applied in both Pantai 1 and Bunus plant to investigate the parameter effects on the process. Central composite design was later used in process optimization. Parameter values from the study showing that the main and interaction effects could contribute to the digestion performance. The pH, TS and FR contribution effect towards biogas production in Pantai 1 were recorded at 38%, 16.7% and 13.45% respectively. Interaction factor between pH and TS also contribute towards biogas production with 15.35%. At Bunus, five factors such as pH, TS, FR, IP and HRT was screened with contribution effects of 13%, 8%, 1%, 5%, 15% respectively. The interaction factors between FR and IP found to be the most influential factors with 20% percentage contribution. Then, the optimum condition for biogas production was found at pH 7.0 and HRT at 15.9 days. But, the most feasible option for optimum process were proposed at pH 7.0 and HRT 10.7 due to shorter retention time. The process performance for baseline study and improved condition was monitored in both treatment plants to probe the optimization effect. The biogas yield increased up to 70% compared with the baseline study in Pantai 1. Higher yield was obtained in Bunus with more than 15% increment compared to Pantai 1. The models acquired from both sites were obtained in lab scale found to be good predictor and applicable for pilot unit with error less than 10%. At the end of the study, four dominant bacteria samples were isolated from sludge in optimum condition and identified based on their colony and cell morphological. All samples found to be methanogens with strain A is Methanosarcina barkeri CM1, B is Methanosarcina Mazei Strain 3, followed by C and D as Methanobrevibacter curvatus strain DSM11111 and Methanobrevibacter filiformis DSM 11501, respectively. The finding proof that microorganism play an important role in biogas production and aligned with other researches. The statistical approach applied in the study also suggest that the tool is applicable for AD improvement in both small and large scale which could facilitate the cost of troubleshooting in real world issue. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
College of Engineering |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Restricted Collection |