Loading…
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...
Saved in:
Published in: | Processes 2023-06, Vol.11 (6), p.1603 |
---|---|
Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c334t-6f7c13cda054d7298986ff476f49aa146fcad7716530faf59d1e35ba79453b9a3 |
---|---|
cites | cdi_FETCH-LOGICAL-c334t-6f7c13cda054d7298986ff476f49aa146fcad7716530faf59d1e35ba79453b9a3 |
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>Publicly Available Content Database</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>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2829860982/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2829860982?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25752,27923,27924,37011,44589,74997</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>PIMPY</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 & Engineering Database (Proquest)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: 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 | Publicly Available Content Database |
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 | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T16%3A38%3A05IST&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%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c334t-6f7c13cda054d7298986ff476f49aa146fcad7716530faf59d1e35ba79453b9a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2829860982&rft_id=info:pmid/&rft_galeid=A758482010&rfr_iscdi=true |