Process optimization and kinetic modeling of biodiesel production using non-edible Madhuca indica oil
•Non-edible mahua oil is utilized for biodiesel production.•RSM was used to optimize the transesterification process variables.•Catalyst, methanol and temperature had significant effect on mahua biodiesel yield.•Biodiesel production follows first-order kinetics.•Mahua biodiesel satisfied the ASTM st...
Gespeichert in:
Veröffentlicht in: | Fuel (Guildford) 2017-05, Vol.195, p.217-225 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 225 |
---|---|
container_issue | |
container_start_page | 217 |
container_title | Fuel (Guildford) |
container_volume | 195 |
creator | Muthukumaran, Chandrasekaran Praniesh, Ramachandran Navamani, Periyasamy Swathi, Raghavan Sharmila, Govindasamy Manoj Kumar, Narasimhan |
description | •Non-edible mahua oil is utilized for biodiesel production.•RSM was used to optimize the transesterification process variables.•Catalyst, methanol and temperature had significant effect on mahua biodiesel yield.•Biodiesel production follows first-order kinetics.•Mahua biodiesel satisfied the ASTM standards.
Optimization and kinetic modeling of biodiesel production from non-edible Madhuca indica oil were investigated in this study. Type of catalyst, catalyst concentration, methanol amount, and reaction temperature were optimized by the univariate method. KOH was found as a better catalyst for conversion of mahua oil to biodiesel. Response surface methodology (RSM) was employed to determine the optimal level of KOH (%), methanol amount (v/v), temperature (°C) and time (min). Maximum biodiesel yield of 91.76% was predicted at the optimal level of KOH as catalyst (1.5%), methanol amount (0.32% v/v), temperature (60°C) and time (90min). Biodiesel yield (88.71%) was obtained in the validation experiments and fitted 96.6% with the RSM predicted results. Kinetic studies were performed at different temperatures and observed that the conversion of mahua oil to biodiesel follows the first order reaction. The kinetic rate constants and activation energy were calculated. The physiochemical properties of mahua biodiesel were determined using standard methods and the mahua biodiesel properties are in accordance with the ASTM D6751 standards. |
doi_str_mv | 10.1016/j.fuel.2017.01.060 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2003813561</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0016236117300704</els_id><sourcerecordid>2003813561</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-f37613887df22535da682b2cccc2f1e8ca70daef73118893223f512969f6d2ea3</originalsourceid><addsrcrecordid>eNp9UMtOwzAQtBBIlMIPcLLEOcEPErsSF1TxkorgAGfLtdfgkNrFTpDg63EoZ_Yyh53ZmR2ETimpKaHteVe7EfqaESpqQmvSkj00o1LwStCG76MZKayK8ZYeoqOcO0KIkM3FDMFTigZyxnE7-I3_1oOPAetg8bsPMHiDN9FC78Mrjg6vfbQeMvR4m6IdzS95zNM2xFCB9ese8IO2b6PR2AfrC0TfH6MDp_sMJ384Ry8318_Lu2r1eHu_vFpVhrfNUDkuWsqlFNYx1vDG6layNTNlmKMgjRbEanCCUyrlgjPGXUPZol241jLQfI7OdndLvI8R8qC6OKZQLBUjhEvKm2IwR2zHMinmnMCpbfIbnb4UJWqqU3VqqlNNdSpCVamziC53Iij5Pz0klY2HYMrPCcygbPT_yX8A9xN_Hw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2003813561</pqid></control><display><type>article</type><title>Process optimization and kinetic modeling of biodiesel production using non-edible Madhuca indica oil</title><source>Elsevier ScienceDirect Journals</source><creator>Muthukumaran, Chandrasekaran ; Praniesh, Ramachandran ; Navamani, Periyasamy ; Swathi, Raghavan ; Sharmila, Govindasamy ; Manoj Kumar, Narasimhan</creator><creatorcontrib>Muthukumaran, Chandrasekaran ; Praniesh, Ramachandran ; Navamani, Periyasamy ; Swathi, Raghavan ; Sharmila, Govindasamy ; Manoj Kumar, Narasimhan</creatorcontrib><description>•Non-edible mahua oil is utilized for biodiesel production.•RSM was used to optimize the transesterification process variables.•Catalyst, methanol and temperature had significant effect on mahua biodiesel yield.•Biodiesel production follows first-order kinetics.•Mahua biodiesel satisfied the ASTM standards.
Optimization and kinetic modeling of biodiesel production from non-edible Madhuca indica oil were investigated in this study. Type of catalyst, catalyst concentration, methanol amount, and reaction temperature were optimized by the univariate method. KOH was found as a better catalyst for conversion of mahua oil to biodiesel. Response surface methodology (RSM) was employed to determine the optimal level of KOH (%), methanol amount (v/v), temperature (°C) and time (min). Maximum biodiesel yield of 91.76% was predicted at the optimal level of KOH as catalyst (1.5%), methanol amount (0.32% v/v), temperature (60°C) and time (90min). Biodiesel yield (88.71%) was obtained in the validation experiments and fitted 96.6% with the RSM predicted results. Kinetic studies were performed at different temperatures and observed that the conversion of mahua oil to biodiesel follows the first order reaction. The kinetic rate constants and activation energy were calculated. The physiochemical properties of mahua biodiesel were determined using standard methods and the mahua biodiesel properties are in accordance with the ASTM D6751 standards.</description><identifier>ISSN: 0016-2361</identifier><identifier>EISSN: 1873-7153</identifier><identifier>DOI: 10.1016/j.fuel.2017.01.060</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Biodiesel ; Biodiesel fuels ; Biofuels ; Catalysis ; Catalysts ; Conversion ; Diesel ; Kinetics ; Madhuca indica ; Mahua oil ; Mathematical models ; Methanol ; Modelling ; Oil ; Optimization ; Physiochemistry ; Rate constants ; Response surface methodology ; RSM ; Temperature effects ; Transesterification ; Vegetable oils</subject><ispartof>Fuel (Guildford), 2017-05, Vol.195, p.217-225</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV May 1, 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-f37613887df22535da682b2cccc2f1e8ca70daef73118893223f512969f6d2ea3</citedby><cites>FETCH-LOGICAL-c365t-f37613887df22535da682b2cccc2f1e8ca70daef73118893223f512969f6d2ea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0016236117300704$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Muthukumaran, Chandrasekaran</creatorcontrib><creatorcontrib>Praniesh, Ramachandran</creatorcontrib><creatorcontrib>Navamani, Periyasamy</creatorcontrib><creatorcontrib>Swathi, Raghavan</creatorcontrib><creatorcontrib>Sharmila, Govindasamy</creatorcontrib><creatorcontrib>Manoj Kumar, Narasimhan</creatorcontrib><title>Process optimization and kinetic modeling of biodiesel production using non-edible Madhuca indica oil</title><title>Fuel (Guildford)</title><description>•Non-edible mahua oil is utilized for biodiesel production.•RSM was used to optimize the transesterification process variables.•Catalyst, methanol and temperature had significant effect on mahua biodiesel yield.•Biodiesel production follows first-order kinetics.•Mahua biodiesel satisfied the ASTM standards.
Optimization and kinetic modeling of biodiesel production from non-edible Madhuca indica oil were investigated in this study. Type of catalyst, catalyst concentration, methanol amount, and reaction temperature were optimized by the univariate method. KOH was found as a better catalyst for conversion of mahua oil to biodiesel. Response surface methodology (RSM) was employed to determine the optimal level of KOH (%), methanol amount (v/v), temperature (°C) and time (min). Maximum biodiesel yield of 91.76% was predicted at the optimal level of KOH as catalyst (1.5%), methanol amount (0.32% v/v), temperature (60°C) and time (90min). Biodiesel yield (88.71%) was obtained in the validation experiments and fitted 96.6% with the RSM predicted results. Kinetic studies were performed at different temperatures and observed that the conversion of mahua oil to biodiesel follows the first order reaction. The kinetic rate constants and activation energy were calculated. The physiochemical properties of mahua biodiesel were determined using standard methods and the mahua biodiesel properties are in accordance with the ASTM D6751 standards.</description><subject>Biodiesel</subject><subject>Biodiesel fuels</subject><subject>Biofuels</subject><subject>Catalysis</subject><subject>Catalysts</subject><subject>Conversion</subject><subject>Diesel</subject><subject>Kinetics</subject><subject>Madhuca indica</subject><subject>Mahua oil</subject><subject>Mathematical models</subject><subject>Methanol</subject><subject>Modelling</subject><subject>Oil</subject><subject>Optimization</subject><subject>Physiochemistry</subject><subject>Rate constants</subject><subject>Response surface methodology</subject><subject>RSM</subject><subject>Temperature effects</subject><subject>Transesterification</subject><subject>Vegetable oils</subject><issn>0016-2361</issn><issn>1873-7153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9UMtOwzAQtBBIlMIPcLLEOcEPErsSF1TxkorgAGfLtdfgkNrFTpDg63EoZ_Yyh53ZmR2ETimpKaHteVe7EfqaESpqQmvSkj00o1LwStCG76MZKayK8ZYeoqOcO0KIkM3FDMFTigZyxnE7-I3_1oOPAetg8bsPMHiDN9FC78Mrjg6vfbQeMvR4m6IdzS95zNM2xFCB9ese8IO2b6PR2AfrC0TfH6MDp_sMJ384Ry8318_Lu2r1eHu_vFpVhrfNUDkuWsqlFNYx1vDG6layNTNlmKMgjRbEanCCUyrlgjPGXUPZol241jLQfI7OdndLvI8R8qC6OKZQLBUjhEvKm2IwR2zHMinmnMCpbfIbnb4UJWqqU3VqqlNNdSpCVamziC53Iij5Pz0klY2HYMrPCcygbPT_yX8A9xN_Hw</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Muthukumaran, Chandrasekaran</creator><creator>Praniesh, Ramachandran</creator><creator>Navamani, Periyasamy</creator><creator>Swathi, Raghavan</creator><creator>Sharmila, Govindasamy</creator><creator>Manoj Kumar, Narasimhan</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope></search><sort><creationdate>20170501</creationdate><title>Process optimization and kinetic modeling of biodiesel production using non-edible Madhuca indica oil</title><author>Muthukumaran, Chandrasekaran ; Praniesh, Ramachandran ; Navamani, Periyasamy ; Swathi, Raghavan ; Sharmila, Govindasamy ; Manoj Kumar, Narasimhan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-f37613887df22535da682b2cccc2f1e8ca70daef73118893223f512969f6d2ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Biodiesel</topic><topic>Biodiesel fuels</topic><topic>Biofuels</topic><topic>Catalysis</topic><topic>Catalysts</topic><topic>Conversion</topic><topic>Diesel</topic><topic>Kinetics</topic><topic>Madhuca indica</topic><topic>Mahua oil</topic><topic>Mathematical models</topic><topic>Methanol</topic><topic>Modelling</topic><topic>Oil</topic><topic>Optimization</topic><topic>Physiochemistry</topic><topic>Rate constants</topic><topic>Response surface methodology</topic><topic>RSM</topic><topic>Temperature effects</topic><topic>Transesterification</topic><topic>Vegetable oils</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Muthukumaran, Chandrasekaran</creatorcontrib><creatorcontrib>Praniesh, Ramachandran</creatorcontrib><creatorcontrib>Navamani, Periyasamy</creatorcontrib><creatorcontrib>Swathi, Raghavan</creatorcontrib><creatorcontrib>Sharmila, Govindasamy</creatorcontrib><creatorcontrib>Manoj Kumar, Narasimhan</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Fuel (Guildford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Muthukumaran, Chandrasekaran</au><au>Praniesh, Ramachandran</au><au>Navamani, Periyasamy</au><au>Swathi, Raghavan</au><au>Sharmila, Govindasamy</au><au>Manoj Kumar, Narasimhan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Process optimization and kinetic modeling of biodiesel production using non-edible Madhuca indica oil</atitle><jtitle>Fuel (Guildford)</jtitle><date>2017-05-01</date><risdate>2017</risdate><volume>195</volume><spage>217</spage><epage>225</epage><pages>217-225</pages><issn>0016-2361</issn><eissn>1873-7153</eissn><abstract>•Non-edible mahua oil is utilized for biodiesel production.•RSM was used to optimize the transesterification process variables.•Catalyst, methanol and temperature had significant effect on mahua biodiesel yield.•Biodiesel production follows first-order kinetics.•Mahua biodiesel satisfied the ASTM standards.
Optimization and kinetic modeling of biodiesel production from non-edible Madhuca indica oil were investigated in this study. Type of catalyst, catalyst concentration, methanol amount, and reaction temperature were optimized by the univariate method. KOH was found as a better catalyst for conversion of mahua oil to biodiesel. Response surface methodology (RSM) was employed to determine the optimal level of KOH (%), methanol amount (v/v), temperature (°C) and time (min). Maximum biodiesel yield of 91.76% was predicted at the optimal level of KOH as catalyst (1.5%), methanol amount (0.32% v/v), temperature (60°C) and time (90min). Biodiesel yield (88.71%) was obtained in the validation experiments and fitted 96.6% with the RSM predicted results. Kinetic studies were performed at different temperatures and observed that the conversion of mahua oil to biodiesel follows the first order reaction. The kinetic rate constants and activation energy were calculated. The physiochemical properties of mahua biodiesel were determined using standard methods and the mahua biodiesel properties are in accordance with the ASTM D6751 standards.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.fuel.2017.01.060</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0016-2361 |
ispartof | Fuel (Guildford), 2017-05, Vol.195, p.217-225 |
issn | 0016-2361 1873-7153 |
language | eng |
recordid | cdi_proquest_journals_2003813561 |
source | Elsevier ScienceDirect Journals |
subjects | Biodiesel Biodiesel fuels Biofuels Catalysis Catalysts Conversion Diesel Kinetics Madhuca indica Mahua oil Mathematical models Methanol Modelling Oil Optimization Physiochemistry Rate constants Response surface methodology RSM Temperature effects Transesterification Vegetable oils |
title | Process optimization and kinetic modeling of biodiesel production using non-edible Madhuca indica oil |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T07%3A10%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Process%20optimization%20and%20kinetic%20modeling%20of%20biodiesel%20production%20using%20non-edible%20Madhuca%20indica%20oil&rft.jtitle=Fuel%20(Guildford)&rft.au=Muthukumaran,%20Chandrasekaran&rft.date=2017-05-01&rft.volume=195&rft.spage=217&rft.epage=225&rft.pages=217-225&rft.issn=0016-2361&rft.eissn=1873-7153&rft_id=info:doi/10.1016/j.fuel.2017.01.060&rft_dat=%3Cproquest_cross%3E2003813561%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2003813561&rft_id=info:pmid/&rft_els_id=S0016236117300704&rfr_iscdi=true |