Optimization of the Performances of Palm Oil Mill Effluent (POME)-Based Biogas Plants Using Comparative Analysis and Response Surface Methodology

The rapid increase in demand for renewable energy has led to a need for more efficient and effective ways to produce biogas from palm oil mill effluent (POME), which is rich in biological and chemical oxygen demand (BOD and COD). Despite its potential as a source of biogas, POME is not always effect...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Processes 2023-06, Vol.11 (6), p.1603
Hauptverfasser: Yong, Gloria Tung Xin, Chan, Yi Jing, Lau, Phei Li, Ethiraj, Baranitharan, Ghfar, Ayman A., Mohammed, Abdallah A. A., Shahid, Muhammad Kashif, Lim, Jun Wei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 6
container_start_page 1603
container_title Processes
container_volume 11
creator Yong, Gloria Tung Xin
Chan, Yi Jing
Lau, Phei Li
Ethiraj, Baranitharan
Ghfar, Ayman A.
Mohammed, Abdallah A. A.
Shahid, Muhammad Kashif
Lim, Jun Wei
description The rapid increase in demand for renewable energy has led to a need for more efficient and effective ways to produce biogas from palm oil mill effluent (POME), which is rich in biological and chemical oxygen demand (BOD and COD). Despite its potential as a source of biogas, POME is not always effectively utilized in biogas production due to a lack of optimization of the treatment process. This study aims to address this issue by identifying the critical parameters affecting biogas production from POME and optimizing the process for maximum biogas yield and COD removal. This study employed comparative analysis and response surface methodology to optimize the performance of palm oil mill effluent (POME)-based biogas plants in Malaysia. Historical data from three commercial POME-based biogas plants in Malaysia were analyzed to identify the most critical parameters for biogas yield and COD removal. Response surface methodology, using Box–Behnken design and Design-Expert software, was then used to optimize these parameters. Sensitivity analysis was performed to interpret the impact of parameters on biogas production, with Organic Loading Rate (OLR) found to be the most critical factor for methane yield. The results showed that the optimum conditions for maximum methane production were OLR of 1.23 kg/m3·day, inlet Total Solids (TS) of 46,370 mg/L, pH of 4.5, and temperature of 45.4 °C, resulting in a 39.6% increase in methane yield (0.335 m3 CH4/kgCODremoved) and a 1.1% increase in COD removal (93.4%).
doi_str_mv 10.3390/pr11061603
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2829860982</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A758482010</galeid><sourcerecordid>A758482010</sourcerecordid><originalsourceid>FETCH-LOGICAL-c334t-6f7c13cda054d7298986ff476f49aa146fcad7716530faf59d1e35ba79453b9a3</originalsourceid><addsrcrecordid>eNpNUdFqGzEQPEoKDUle-gWCvqSBc6TTnXR6dIzTFGJs2vr5WOtWjoJOukpywPmL_nEvONDuPuwyzAwDUxSfGZ1xrujtGBmjggnKPxTnVVXJUkkmz_77PxVXKT3TaRTjbSPOiz_rMdvBvkK2wZNgSH5CssFoQhzAa0xv2AbcQNbWkZV1jiyNcQf0mVxv1qvl1_IOEvbkzoY9JLJx4HMi22T9nizCMEKcrF-QzD24Y7KJgO_JD0xj8AnJz0M0oJGsMD-FPriwP14WHw24hFfv96LY3i9_LR7Kx_W374v5Y6k5r3MpjNSM6x5oU_eyUq1qhTG1FKZWAKwWRkMvJRMNpwZMo3qGvNmBVHXDdwr4RfHl5DvG8PuAKXfP4RCnlKmr2slPUNVWE2t2Yu3BYWe9CTmCnrbHwerg0dgJn8umrduKMjoJbk4CHUNKEU03RjtAPHaMdm81df9q4n8B8MCFKA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2829860982</pqid></control><display><type>article</type><title>Optimization of the Performances of Palm Oil Mill Effluent (POME)-Based Biogas Plants Using Comparative Analysis and Response Surface Methodology</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Yong, Gloria Tung Xin ; Chan, Yi Jing ; Lau, Phei Li ; Ethiraj, Baranitharan ; Ghfar, Ayman A. ; Mohammed, Abdallah A. A. ; Shahid, Muhammad Kashif ; Lim, Jun Wei</creator><creatorcontrib>Yong, Gloria Tung Xin ; Chan, Yi Jing ; Lau, Phei Li ; Ethiraj, Baranitharan ; Ghfar, Ayman A. ; Mohammed, Abdallah A. A. ; Shahid, Muhammad Kashif ; Lim, Jun Wei</creatorcontrib><description>The rapid increase in demand for renewable energy has led to a need for more efficient and effective ways to produce biogas from palm oil mill effluent (POME), which is rich in biological and chemical oxygen demand (BOD and COD). Despite its potential as a source of biogas, POME is not always effectively utilized in biogas production due to a lack of optimization of the treatment process. This study aims to address this issue by identifying the critical parameters affecting biogas production from POME and optimizing the process for maximum biogas yield and COD removal. This study employed comparative analysis and response surface methodology to optimize the performance of palm oil mill effluent (POME)-based biogas plants in Malaysia. Historical data from three commercial POME-based biogas plants in Malaysia were analyzed to identify the most critical parameters for biogas yield and COD removal. Response surface methodology, using Box–Behnken design and Design-Expert software, was then used to optimize these parameters. Sensitivity analysis was performed to interpret the impact of parameters on biogas production, with Organic Loading Rate (OLR) found to be the most critical factor for methane yield. The results showed that the optimum conditions for maximum methane production were OLR of 1.23 kg/m3·day, inlet Total Solids (TS) of 46,370 mg/L, pH of 4.5, and temperature of 45.4 °C, resulting in a 39.6% increase in methane yield (0.335 m3 CH4/kgCODremoved) and a 1.1% increase in COD removal (93.4%).</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr11061603</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Alternative energy sources ; Analysis ; Biochemical oxygen demand ; Biogas ; Biomass energy ; Chemical oxygen demand ; Comparative analysis ; Data analysis ; Design ; Economic growth ; Efficiency ; Effluents ; Electricity ; Electricity distribution ; Hydraulics ; Industrial wastes ; Loading rate ; Metabolism ; Methane ; Methods ; Optimization ; Organic loading ; Palm oil ; Parameter identification ; Parameter sensitivity ; Ponds ; Response surface methodology ; Sensitivity analysis ; Software ; Vegetable oils</subject><ispartof>Processes, 2023-06, Vol.11 (6), p.1603</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-6f7c13cda054d7298986ff476f49aa146fcad7716530faf59d1e35ba79453b9a3</citedby><cites>FETCH-LOGICAL-c334t-6f7c13cda054d7298986ff476f49aa146fcad7716530faf59d1e35ba79453b9a3</cites><orcidid>0000-0002-8038-8193 ; 0000-0002-3187-8460 ; 0000-0003-2123-2356 ; 0000-0003-0158-8822 ; 0000-0002-6685-7918 ; 0000-0003-2388-3865</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Yong, Gloria Tung Xin</creatorcontrib><creatorcontrib>Chan, Yi Jing</creatorcontrib><creatorcontrib>Lau, Phei Li</creatorcontrib><creatorcontrib>Ethiraj, Baranitharan</creatorcontrib><creatorcontrib>Ghfar, Ayman A.</creatorcontrib><creatorcontrib>Mohammed, Abdallah A. A.</creatorcontrib><creatorcontrib>Shahid, Muhammad Kashif</creatorcontrib><creatorcontrib>Lim, Jun Wei</creatorcontrib><title>Optimization of the Performances of Palm Oil Mill Effluent (POME)-Based Biogas Plants Using Comparative Analysis and Response Surface Methodology</title><title>Processes</title><description>The rapid increase in demand for renewable energy has led to a need for more efficient and effective ways to produce biogas from palm oil mill effluent (POME), which is rich in biological and chemical oxygen demand (BOD and COD). Despite its potential as a source of biogas, POME is not always effectively utilized in biogas production due to a lack of optimization of the treatment process. This study aims to address this issue by identifying the critical parameters affecting biogas production from POME and optimizing the process for maximum biogas yield and COD removal. This study employed comparative analysis and response surface methodology to optimize the performance of palm oil mill effluent (POME)-based biogas plants in Malaysia. Historical data from three commercial POME-based biogas plants in Malaysia were analyzed to identify the most critical parameters for biogas yield and COD removal. Response surface methodology, using Box–Behnken design and Design-Expert software, was then used to optimize these parameters. Sensitivity analysis was performed to interpret the impact of parameters on biogas production, with Organic Loading Rate (OLR) found to be the most critical factor for methane yield. The results showed that the optimum conditions for maximum methane production were OLR of 1.23 kg/m3·day, inlet Total Solids (TS) of 46,370 mg/L, pH of 4.5, and temperature of 45.4 °C, resulting in a 39.6% increase in methane yield (0.335 m3 CH4/kgCODremoved) and a 1.1% increase in COD removal (93.4%).</description><subject>Alternative energy sources</subject><subject>Analysis</subject><subject>Biochemical oxygen demand</subject><subject>Biogas</subject><subject>Biomass energy</subject><subject>Chemical oxygen demand</subject><subject>Comparative analysis</subject><subject>Data analysis</subject><subject>Design</subject><subject>Economic growth</subject><subject>Efficiency</subject><subject>Effluents</subject><subject>Electricity</subject><subject>Electricity distribution</subject><subject>Hydraulics</subject><subject>Industrial wastes</subject><subject>Loading rate</subject><subject>Metabolism</subject><subject>Methane</subject><subject>Methods</subject><subject>Optimization</subject><subject>Organic loading</subject><subject>Palm oil</subject><subject>Parameter identification</subject><subject>Parameter sensitivity</subject><subject>Ponds</subject><subject>Response surface methodology</subject><subject>Sensitivity analysis</subject><subject>Software</subject><subject>Vegetable oils</subject><issn>2227-9717</issn><issn>2227-9717</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNUdFqGzEQPEoKDUle-gWCvqSBc6TTnXR6dIzTFGJs2vr5WOtWjoJOukpywPmL_nEvONDuPuwyzAwDUxSfGZ1xrujtGBmjggnKPxTnVVXJUkkmz_77PxVXKT3TaRTjbSPOiz_rMdvBvkK2wZNgSH5CssFoQhzAa0xv2AbcQNbWkZV1jiyNcQf0mVxv1qvl1_IOEvbkzoY9JLJx4HMi22T9nizCMEKcrF-QzD24Y7KJgO_JD0xj8AnJz0M0oJGsMD-FPriwP14WHw24hFfv96LY3i9_LR7Kx_W374v5Y6k5r3MpjNSM6x5oU_eyUq1qhTG1FKZWAKwWRkMvJRMNpwZMo3qGvNmBVHXDdwr4RfHl5DvG8PuAKXfP4RCnlKmr2slPUNVWE2t2Yu3BYWe9CTmCnrbHwerg0dgJn8umrduKMjoJbk4CHUNKEU03RjtAPHaMdm81df9q4n8B8MCFKA</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Yong, Gloria Tung Xin</creator><creator>Chan, Yi Jing</creator><creator>Lau, Phei Li</creator><creator>Ethiraj, Baranitharan</creator><creator>Ghfar, Ayman A.</creator><creator>Mohammed, Abdallah A. A.</creator><creator>Shahid, Muhammad Kashif</creator><creator>Lim, Jun Wei</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-8038-8193</orcidid><orcidid>https://orcid.org/0000-0002-3187-8460</orcidid><orcidid>https://orcid.org/0000-0003-2123-2356</orcidid><orcidid>https://orcid.org/0000-0003-0158-8822</orcidid><orcidid>https://orcid.org/0000-0002-6685-7918</orcidid><orcidid>https://orcid.org/0000-0003-2388-3865</orcidid></search><sort><creationdate>20230601</creationdate><title>Optimization of the Performances of Palm Oil Mill Effluent (POME)-Based Biogas Plants Using Comparative Analysis and Response Surface Methodology</title><author>Yong, Gloria Tung Xin ; Chan, Yi Jing ; Lau, Phei Li ; Ethiraj, Baranitharan ; Ghfar, Ayman A. ; Mohammed, Abdallah A. A. ; Shahid, Muhammad Kashif ; Lim, Jun Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-6f7c13cda054d7298986ff476f49aa146fcad7716530faf59d1e35ba79453b9a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Alternative energy sources</topic><topic>Analysis</topic><topic>Biochemical oxygen demand</topic><topic>Biogas</topic><topic>Biomass energy</topic><topic>Chemical oxygen demand</topic><topic>Comparative analysis</topic><topic>Data analysis</topic><topic>Design</topic><topic>Economic growth</topic><topic>Efficiency</topic><topic>Effluents</topic><topic>Electricity</topic><topic>Electricity distribution</topic><topic>Hydraulics</topic><topic>Industrial wastes</topic><topic>Loading rate</topic><topic>Metabolism</topic><topic>Methane</topic><topic>Methods</topic><topic>Optimization</topic><topic>Organic loading</topic><topic>Palm oil</topic><topic>Parameter identification</topic><topic>Parameter sensitivity</topic><topic>Ponds</topic><topic>Response surface methodology</topic><topic>Sensitivity analysis</topic><topic>Software</topic><topic>Vegetable oils</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yong, Gloria Tung Xin</creatorcontrib><creatorcontrib>Chan, Yi Jing</creatorcontrib><creatorcontrib>Lau, Phei Li</creatorcontrib><creatorcontrib>Ethiraj, Baranitharan</creatorcontrib><creatorcontrib>Ghfar, Ayman A.</creatorcontrib><creatorcontrib>Mohammed, Abdallah A. A.</creatorcontrib><creatorcontrib>Shahid, Muhammad Kashif</creatorcontrib><creatorcontrib>Lim, Jun Wei</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yong, Gloria Tung Xin</au><au>Chan, Yi Jing</au><au>Lau, Phei Li</au><au>Ethiraj, Baranitharan</au><au>Ghfar, Ayman A.</au><au>Mohammed, Abdallah A. A.</au><au>Shahid, Muhammad Kashif</au><au>Lim, Jun Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of the Performances of Palm Oil Mill Effluent (POME)-Based Biogas Plants Using Comparative Analysis and Response Surface Methodology</atitle><jtitle>Processes</jtitle><date>2023-06-01</date><risdate>2023</risdate><volume>11</volume><issue>6</issue><spage>1603</spage><pages>1603-</pages><issn>2227-9717</issn><eissn>2227-9717</eissn><abstract>The rapid increase in demand for renewable energy has led to a need for more efficient and effective ways to produce biogas from palm oil mill effluent (POME), which is rich in biological and chemical oxygen demand (BOD and COD). Despite its potential as a source of biogas, POME is not always effectively utilized in biogas production due to a lack of optimization of the treatment process. This study aims to address this issue by identifying the critical parameters affecting biogas production from POME and optimizing the process for maximum biogas yield and COD removal. This study employed comparative analysis and response surface methodology to optimize the performance of palm oil mill effluent (POME)-based biogas plants in Malaysia. Historical data from three commercial POME-based biogas plants in Malaysia were analyzed to identify the most critical parameters for biogas yield and COD removal. Response surface methodology, using Box–Behnken design and Design-Expert software, was then used to optimize these parameters. Sensitivity analysis was performed to interpret the impact of parameters on biogas production, with Organic Loading Rate (OLR) found to be the most critical factor for methane yield. The results showed that the optimum conditions for maximum methane production were OLR of 1.23 kg/m3·day, inlet Total Solids (TS) of 46,370 mg/L, pH of 4.5, and temperature of 45.4 °C, resulting in a 39.6% increase in methane yield (0.335 m3 CH4/kgCODremoved) and a 1.1% increase in COD removal (93.4%).</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/pr11061603</doi><orcidid>https://orcid.org/0000-0002-8038-8193</orcidid><orcidid>https://orcid.org/0000-0002-3187-8460</orcidid><orcidid>https://orcid.org/0000-0003-2123-2356</orcidid><orcidid>https://orcid.org/0000-0003-0158-8822</orcidid><orcidid>https://orcid.org/0000-0002-6685-7918</orcidid><orcidid>https://orcid.org/0000-0003-2388-3865</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2227-9717
ispartof Processes, 2023-06, Vol.11 (6), p.1603
issn 2227-9717
2227-9717
language eng
recordid cdi_proquest_journals_2829860982
source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals
subjects Alternative energy sources
Analysis
Biochemical oxygen demand
Biogas
Biomass energy
Chemical oxygen demand
Comparative analysis
Data analysis
Design
Economic growth
Efficiency
Effluents
Electricity
Electricity distribution
Hydraulics
Industrial wastes
Loading rate
Metabolism
Methane
Methods
Optimization
Organic loading
Palm oil
Parameter identification
Parameter sensitivity
Ponds
Response surface methodology
Sensitivity analysis
Software
Vegetable oils
title Optimization of the Performances of Palm Oil Mill Effluent (POME)-Based Biogas Plants Using Comparative Analysis and Response Surface Methodology
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T20%3A04%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimization%20of%20the%20Performances%20of%20Palm%20Oil%20Mill%20Effluent%20(POME)-Based%20Biogas%20Plants%20Using%20Comparative%20Analysis%20and%20Response%20Surface%20Methodology&rft.jtitle=Processes&rft.au=Yong,%20Gloria%20Tung%20Xin&rft.date=2023-06-01&rft.volume=11&rft.issue=6&rft.spage=1603&rft.pages=1603-&rft.issn=2227-9717&rft.eissn=2227-9717&rft_id=info:doi/10.3390/pr11061603&rft_dat=%3Cgale_proqu%3EA758482010%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2829860982&rft_id=info:pmid/&rft_galeid=A758482010&rfr_iscdi=true