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Prediction of performance and exhaust emissions of a CI engine fueled with multi-wall carbon nanotube doped biodiesel-diesel blends using response surface method
This study was designed to analyses the performance and exhaust emissions of a direct-injection diesel engine fueled with multi-walled carbon nanotubes (MWCNTs) included in biodiesel-blended diesel fuel using response surface method (RSM). The influence of input parameters —engine load and MWCNTs co...
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Published in: | Energy (Oxford) 2021-07, Vol.227, p.120518, Article 120518 |
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description | This study was designed to analyses the performance and exhaust emissions of a direct-injection diesel engine fueled with multi-walled carbon nanotubes (MWCNTs) included in biodiesel-blended diesel fuel using response surface method (RSM). The influence of input parameters —engine load and MWCNTs concentration — on the response parameters (i.e., BSFC, BTE, CO, NOX, and UHC) were investigated and predicted. MWCNTs were added into B20 fuel (20% biodisesel+80% diesel) in various concentrations (25, 50, 75, and 100 ppm). The tests performed under varying engine load conditions (5, 10, 15, and 20 Nm) at a constant engine speed of 1800 rpm. Multi-regression models for BTE, BSFC, and CO, UHC, and NOX emissions were derived using RSM and were found to be statistically significant. Exhaust UHC and CO concentrations for the studied fuel blend decreases with the addition of MWCNTs into B20 fuel, while NOx emissions drastically increased. The optimal engine working conditions were found to be an engine load of 10 Nm and MWCNTs concentration of 98 ppm. Based on the optimized values, the most optimal results for BTE and BSFC along with CO, UHC, and NOX emissions were found to be 28.57 (%), 269.84 (g/kWh), 0.03 (%Vol.), 44.16 (ppm), and 458.81 (ppm).
•Multi-wall carbon nanotube as a fuel additive was added into diesel/biodiesel blend.•Response surface method was employed for engine performance and emission evaluation.•Nano-additives improved engine performance and reduced CO and HC emissions.•High desirability value achieved at an engine load of 10Nm and a dosage of 98 ppm. |
doi_str_mv | 10.1016/j.energy.2021.120518 |
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•Multi-wall carbon nanotube as a fuel additive was added into diesel/biodiesel blend.•Response surface method was employed for engine performance and emission evaluation.•Nano-additives improved engine performance and reduced CO and HC emissions.•High desirability value achieved at an engine load of 10Nm and a dosage of 98 ppm.</description><identifier>ISSN: 0360-5442</identifier><identifier>EISSN: 1873-6785</identifier><identifier>DOI: 10.1016/j.energy.2021.120518</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Biodiesel ; Biodiesel fuels ; Biofuels ; Carbon monoxide ; Combustion ; Diesel ; Diesel engines ; Diesel fuels ; Emissions ; Exhaust emissions ; Multi wall carbon nanotubes ; Multi-wall carbon nano tubes ; Nanotechnology ; Nanotubes ; Parameters ; Regression analysis ; Regression models ; Response surface method ; Response surface methodology ; Statistical analysis ; Working conditions</subject><ispartof>Energy (Oxford), 2021-07, Vol.227, p.120518, Article 120518</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jul 15, 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-d9a1b65b78b9fe811fdf3f2b961672c020b356e9b519715729a1d7bab42480ee3</citedby><cites>FETCH-LOGICAL-c334t-d9a1b65b78b9fe811fdf3f2b961672c020b356e9b519715729a1d7bab42480ee3</cites><orcidid>0000-0003-0689-6824</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Solmaz, Hamit</creatorcontrib><creatorcontrib>Ardebili, Seyed Mohammad Safieddin</creatorcontrib><creatorcontrib>Calam, Alper</creatorcontrib><creatorcontrib>Yılmaz, Emre</creatorcontrib><creatorcontrib>İpci, Duygu</creatorcontrib><title>Prediction of performance and exhaust emissions of a CI engine fueled with multi-wall carbon nanotube doped biodiesel-diesel blends using response surface method</title><title>Energy (Oxford)</title><description>This study was designed to analyses the performance and exhaust emissions of a direct-injection diesel engine fueled with multi-walled carbon nanotubes (MWCNTs) included in biodiesel-blended diesel fuel using response surface method (RSM). The influence of input parameters —engine load and MWCNTs concentration — on the response parameters (i.e., BSFC, BTE, CO, NOX, and UHC) were investigated and predicted. MWCNTs were added into B20 fuel (20% biodisesel+80% diesel) in various concentrations (25, 50, 75, and 100 ppm). The tests performed under varying engine load conditions (5, 10, 15, and 20 Nm) at a constant engine speed of 1800 rpm. Multi-regression models for BTE, BSFC, and CO, UHC, and NOX emissions were derived using RSM and were found to be statistically significant. Exhaust UHC and CO concentrations for the studied fuel blend decreases with the addition of MWCNTs into B20 fuel, while NOx emissions drastically increased. The optimal engine working conditions were found to be an engine load of 10 Nm and MWCNTs concentration of 98 ppm. Based on the optimized values, the most optimal results for BTE and BSFC along with CO, UHC, and NOX emissions were found to be 28.57 (%), 269.84 (g/kWh), 0.03 (%Vol.), 44.16 (ppm), and 458.81 (ppm).
•Multi-wall carbon nanotube as a fuel additive was added into diesel/biodiesel blend.•Response surface method was employed for engine performance and emission evaluation.•Nano-additives improved engine performance and reduced CO and HC emissions.•High desirability value achieved at an engine load of 10Nm and a dosage of 98 ppm.</description><subject>Biodiesel</subject><subject>Biodiesel fuels</subject><subject>Biofuels</subject><subject>Carbon monoxide</subject><subject>Combustion</subject><subject>Diesel</subject><subject>Diesel engines</subject><subject>Diesel fuels</subject><subject>Emissions</subject><subject>Exhaust emissions</subject><subject>Multi wall carbon nanotubes</subject><subject>Multi-wall carbon nano tubes</subject><subject>Nanotechnology</subject><subject>Nanotubes</subject><subject>Parameters</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Response surface method</subject><subject>Response surface methodology</subject><subject>Statistical analysis</subject><subject>Working conditions</subject><issn>0360-5442</issn><issn>1873-6785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u2zAQhIkgBeq4eYMcCPQsl6RE_VwKFEaaGjCQHNozQYpLm4JEqiSV1I_TNw0N9dzTXL6d2d1B6IGSHSW0_jLswEE4XXaMMLqjjHDa3qANbZuyqJuW36INKWtS8KpiH9FdjAMhhLddt0F_XwJo2yfrHfYGzxCMD5N0PWDpNIY_Z7nEhGGyMWYmXiGJ9wcM7mQdYLPACBq_2XTG0zImW7zJccS9DCo7Oul8WhRg7edMKeu1hQhjsQpWIzgd8RKtO-EAcc4JgOMSjMwLTJDOXn9CH4wcI9z_0y369f3x5_5HcXx-Ouy_HYu-LKtU6E5SVXPVtKoz0FJqtCkNU11N64b1hBFV8ho6xWnXUN6wzOtGSVWxqiUA5RZ9Xn3n4H8vEJMY_BJcjhSMV4RXXd2STFUr1QcfYwAj5mAnGS6CEnEtQwxiLUNcyxBrGXns6zoG-YJXC0HE3kL-srYB-iS0t_83eAdH4Zfr</recordid><startdate>20210715</startdate><enddate>20210715</enddate><creator>Solmaz, Hamit</creator><creator>Ardebili, Seyed Mohammad Safieddin</creator><creator>Calam, Alper</creator><creator>Yılmaz, Emre</creator><creator>İpci, Duygu</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-0689-6824</orcidid></search><sort><creationdate>20210715</creationdate><title>Prediction of performance and exhaust emissions of a CI engine fueled with multi-wall carbon nanotube doped biodiesel-diesel blends using response surface method</title><author>Solmaz, Hamit ; Ardebili, Seyed Mohammad Safieddin ; Calam, Alper ; Yılmaz, Emre ; İpci, Duygu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-d9a1b65b78b9fe811fdf3f2b961672c020b356e9b519715729a1d7bab42480ee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Biodiesel</topic><topic>Biodiesel fuels</topic><topic>Biofuels</topic><topic>Carbon monoxide</topic><topic>Combustion</topic><topic>Diesel</topic><topic>Diesel engines</topic><topic>Diesel fuels</topic><topic>Emissions</topic><topic>Exhaust emissions</topic><topic>Multi wall carbon nanotubes</topic><topic>Multi-wall carbon nano tubes</topic><topic>Nanotechnology</topic><topic>Nanotubes</topic><topic>Parameters</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Response surface method</topic><topic>Response surface methodology</topic><topic>Statistical analysis</topic><topic>Working conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Solmaz, Hamit</creatorcontrib><creatorcontrib>Ardebili, Seyed Mohammad Safieddin</creatorcontrib><creatorcontrib>Calam, Alper</creatorcontrib><creatorcontrib>Yılmaz, Emre</creatorcontrib><creatorcontrib>İpci, Duygu</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</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>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Solmaz, Hamit</au><au>Ardebili, Seyed Mohammad Safieddin</au><au>Calam, Alper</au><au>Yılmaz, Emre</au><au>İpci, Duygu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of performance and exhaust emissions of a CI engine fueled with multi-wall carbon nanotube doped biodiesel-diesel blends using response surface method</atitle><jtitle>Energy (Oxford)</jtitle><date>2021-07-15</date><risdate>2021</risdate><volume>227</volume><spage>120518</spage><pages>120518-</pages><artnum>120518</artnum><issn>0360-5442</issn><eissn>1873-6785</eissn><abstract>This study was designed to analyses the performance and exhaust emissions of a direct-injection diesel engine fueled with multi-walled carbon nanotubes (MWCNTs) included in biodiesel-blended diesel fuel using response surface method (RSM). The influence of input parameters —engine load and MWCNTs concentration — on the response parameters (i.e., BSFC, BTE, CO, NOX, and UHC) were investigated and predicted. MWCNTs were added into B20 fuel (20% biodisesel+80% diesel) in various concentrations (25, 50, 75, and 100 ppm). The tests performed under varying engine load conditions (5, 10, 15, and 20 Nm) at a constant engine speed of 1800 rpm. Multi-regression models for BTE, BSFC, and CO, UHC, and NOX emissions were derived using RSM and were found to be statistically significant. Exhaust UHC and CO concentrations for the studied fuel blend decreases with the addition of MWCNTs into B20 fuel, while NOx emissions drastically increased. The optimal engine working conditions were found to be an engine load of 10 Nm and MWCNTs concentration of 98 ppm. Based on the optimized values, the most optimal results for BTE and BSFC along with CO, UHC, and NOX emissions were found to be 28.57 (%), 269.84 (g/kWh), 0.03 (%Vol.), 44.16 (ppm), and 458.81 (ppm).
•Multi-wall carbon nanotube as a fuel additive was added into diesel/biodiesel blend.•Response surface method was employed for engine performance and emission evaluation.•Nano-additives improved engine performance and reduced CO and HC emissions.•High desirability value achieved at an engine load of 10Nm and a dosage of 98 ppm.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2021.120518</doi><orcidid>https://orcid.org/0000-0003-0689-6824</orcidid></addata></record> |
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subjects | Biodiesel Biodiesel fuels Biofuels Carbon monoxide Combustion Diesel Diesel engines Diesel fuels Emissions Exhaust emissions Multi wall carbon nanotubes Multi-wall carbon nano tubes Nanotechnology Nanotubes Parameters Regression analysis Regression models Response surface method Response surface methodology Statistical analysis Working conditions |
title | Prediction of performance and exhaust emissions of a CI engine fueled with multi-wall carbon nanotube doped biodiesel-diesel blends using response surface method |
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