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Parameter Optimisation of Aerobic Granular Sludge at High Temperature Using Response Surface Methodology

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 3 (2017)

DOI
10.11591/ijece.v7i3.pp1522-1529
ISSN
2088-8708, 2088-8708
Published
2017-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper proposes an improved optimisation of sequencing batch reactors (SBR) for aerobic granular sludge (AGS) at high temperature-low humidity for domestic wastewater treatment using response surface methodology (RSM). The main advantages of RSM are less number of experiment required and suitable for complex process. The sludge from a conventional activated sludge wastewater treatment plant and three sequencing batch reactors (SBRs) were fed with synthetic wastewater. The experiment were carried out at different high temperatures (30, 40 and 50°C) and the formation of AGS for simultaneous organics and nutrients removal were examined in 60 days. RSM is used to model and to optimize the biological parameters for chemical oxygen demand (COD) and total phosphorus removal in SBR system. The simulation results showed that at temperature of 45.33°C give the optimum condition for the total removal of COD and phosphorus, which correspond to performance index R 2 of 0.955 and 0.91, respectively.

Collaboration network of the authors

9 authors · 14 co-authorship links · 5 across different organisations

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  • University of Technology Malaysia
  • Taibah University
  • Kuwait Institute for Scientific Research
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Zakariah YusufUniversity of Technology Malaysia2
Norjannah HazaliUniversity of Technology Malaysia2
Abdallah AbusamKuwait Institute for Scientific Research1
Nurazizah MahmodUniversity of Technology Malaysia1
Shafishuhaza SahlanUniversity of Technology Malaysia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Parameter Optimisation of Aerobic Granular Sludge at High Temperature Using Response Surface Methodology</dc:title><dc:creator>Ibrahim, Syahira</dc:creator><dc:creator>Wahab, Norhaliza Abdul</dc:creator><dc:creator>Anuar, Aznah Nor</dc:creator><dc:creator>Bob, Mustafa</dc:creator><dc:description>&lt;jats:p&gt;This paper proposes an improved optimisation of sequencing batch reactors (SBR) for aerobic granular sludge (AGS) at high temperature-low humidity for domestic wastewater treatment using response surface methodology (RSM). The main advantages of RSM are less number of experiment required and suitable for complex process. The sludge from a conventional activated sludge wastewater treatment plant and three sequencing batch reactors (SBRs) were fed with synthetic wastewater. The experiment were carried out at different high temperatures (30, 40 and 50°C) and the formation of AGS for simultaneous organics and nutrients removal were examined in 60 days. RSM is used to model and to optimize the biological parameters for chemical oxygen demand (COD) and total phosphorus removal in SBR system. The simulation results showed that at temperature of 45.33°C give the optimum condition for the total removal of COD and phosphorus, which correspond to performance index R&amp;lt;sup&amp;gt;2&amp;lt;/sup&amp;gt; of 0.955 and 0.91, respectively.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i3.pp1522-1529</dc:identifier><dc:identifier>10.11591/ijece.v7i3.pp1522-1529</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 3 (2017); 1522</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/7518/6569</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>