Permittivity of gasoline/methanol blends. Application to blend composition estimation
•Permittivity of methanol/gasoline blends determined at 100 kHz.•Measurement uncertainty below 1%.•Cubic dependence with methanol content.•Estimation of methanol content from permittivity and temperature measurements.•Uncertainty estimation below 2% for temperatures between 296 K and 323 K. The rela...
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creator | Corach, J. Sorichetti, P.A. Romano, S.D. |
description | •Permittivity of methanol/gasoline blends determined at 100 kHz.•Measurement uncertainty below 1%.•Cubic dependence with methanol content.•Estimation of methanol content from permittivity and temperature measurements.•Uncertainty estimation below 2% for temperatures between 296 K and 323 K.
The relative permittivity of gasoline/methanol blends was determined at 100 kHz, in the full range of composition, at temperatures between 296 K and 323 K.
From experimental results, permittivity is fitted to a third degree polynomial on methanol content, and, at each composition, the permittivity of blends decreases linearly with temperature.
From the analysis of the experimental data, a model is developed to estimate the relative permittivity as a function of blend composition and temperature. The model fitting is very satisfactory, with an RMS absolute uncertainty of 0.43. The parameters of the model are determined from experimental data for pure gasoline and methanol, and were checked by means of a non-linear fitting using all the experimental data, with very good agreement.
Another model is proposed to estimate the composition of blends from temperature and permittivity measurements. From the comparison to experimental data, the RMS absolute uncertainty of the estimation is below 2%. |
doi_str_mv | 10.1016/j.fuel.2019.116169 |
format | Article |
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The relative permittivity of gasoline/methanol blends was determined at 100 kHz, in the full range of composition, at temperatures between 296 K and 323 K.
From experimental results, permittivity is fitted to a third degree polynomial on methanol content, and, at each composition, the permittivity of blends decreases linearly with temperature.
From the analysis of the experimental data, a model is developed to estimate the relative permittivity as a function of blend composition and temperature. The model fitting is very satisfactory, with an RMS absolute uncertainty of 0.43. The parameters of the model are determined from experimental data for pure gasoline and methanol, and were checked by means of a non-linear fitting using all the experimental data, with very good agreement.
Another model is proposed to estimate the composition of blends from temperature and permittivity measurements. From the comparison to experimental data, the RMS absolute uncertainty of the estimation is below 2%.</description><identifier>ISSN: 0016-2361</identifier><identifier>EISSN: 1873-7153</identifier><identifier>DOI: 10.1016/j.fuel.2019.116169</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Blends ; Composition ; Dielectric spectroscopy ; Experimental data ; Gasoline ; Methanol ; Mixtures ; Parameter uncertainty ; Permittivity ; Polynomials ; Temperature ; Temperature effects</subject><ispartof>Fuel (Guildford), 2019-12, Vol.258, p.116169, Article 116169</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Dec 15, 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-25f56873a4116ebd68eab7f1f3fe4910ef0196dab0bbeef25b96abd9453913b13</citedby><cites>FETCH-LOGICAL-c365t-25f56873a4116ebd68eab7f1f3fe4910ef0196dab0bbeef25b96abd9453913b13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.fuel.2019.116169$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,781,785,3551,27925,27926,45996</link.rule.ids></links><search><creatorcontrib>Corach, J.</creatorcontrib><creatorcontrib>Sorichetti, P.A.</creatorcontrib><creatorcontrib>Romano, S.D.</creatorcontrib><title>Permittivity of gasoline/methanol blends. Application to blend composition estimation</title><title>Fuel (Guildford)</title><description>•Permittivity of methanol/gasoline blends determined at 100 kHz.•Measurement uncertainty below 1%.•Cubic dependence with methanol content.•Estimation of methanol content from permittivity and temperature measurements.•Uncertainty estimation below 2% for temperatures between 296 K and 323 K.
The relative permittivity of gasoline/methanol blends was determined at 100 kHz, in the full range of composition, at temperatures between 296 K and 323 K.
From experimental results, permittivity is fitted to a third degree polynomial on methanol content, and, at each composition, the permittivity of blends decreases linearly with temperature.
From the analysis of the experimental data, a model is developed to estimate the relative permittivity as a function of blend composition and temperature. The model fitting is very satisfactory, with an RMS absolute uncertainty of 0.43. The parameters of the model are determined from experimental data for pure gasoline and methanol, and were checked by means of a non-linear fitting using all the experimental data, with very good agreement.
Another model is proposed to estimate the composition of blends from temperature and permittivity measurements. From the comparison to experimental data, the RMS absolute uncertainty of the estimation is below 2%.</description><subject>Blends</subject><subject>Composition</subject><subject>Dielectric spectroscopy</subject><subject>Experimental data</subject><subject>Gasoline</subject><subject>Methanol</subject><subject>Mixtures</subject><subject>Parameter uncertainty</subject><subject>Permittivity</subject><subject>Polynomials</subject><subject>Temperature</subject><subject>Temperature effects</subject><issn>0016-2361</issn><issn>1873-7153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9UMtqwzAQFKWFpml_oCdDz3a0li3b0EsIfUGgPTRnYdmrVsaxXEkJ5O8rxz33tDA7szM7hNwDTYACX3WJOmCfpBSqBIADry7IAsqCxQXk7JIsaGDFKeNwTW6c6yilRZlnC7L7QLvX3uuj9qfIqOirdqbXA6726L_rwfSR7HFoXRKtx7HXTe21GSJvZjhqzH40Tp9BdF7vz_tbcqXq3uHd31yS3fPT5-Y13r6_vG3W27hhPPdxmquch5B1FjKjbHmJtSwUKKYwq4CiCv_wtpZUSkSV5rLitWyrLGcVMAlsSR7mu6M1P4fgLzpzsEOwFCmjJYUyKydWOrMaa5yzqMRoQ1B7EkDFVJ_oxFSfmOoTc31B9DiLMOQ_arTCNRqHBlttsfGiNfo_-S8HUXpD</recordid><startdate>20191215</startdate><enddate>20191215</enddate><creator>Corach, J.</creator><creator>Sorichetti, P.A.</creator><creator>Romano, S.D.</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>20191215</creationdate><title>Permittivity of gasoline/methanol blends. Application to blend composition estimation</title><author>Corach, J. ; Sorichetti, P.A. ; Romano, S.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-25f56873a4116ebd68eab7f1f3fe4910ef0196dab0bbeef25b96abd9453913b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Blends</topic><topic>Composition</topic><topic>Dielectric spectroscopy</topic><topic>Experimental data</topic><topic>Gasoline</topic><topic>Methanol</topic><topic>Mixtures</topic><topic>Parameter uncertainty</topic><topic>Permittivity</topic><topic>Polynomials</topic><topic>Temperature</topic><topic>Temperature effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Corach, J.</creatorcontrib><creatorcontrib>Sorichetti, P.A.</creatorcontrib><creatorcontrib>Romano, S.D.</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>Corach, J.</au><au>Sorichetti, P.A.</au><au>Romano, S.D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Permittivity of gasoline/methanol blends. Application to blend composition estimation</atitle><jtitle>Fuel (Guildford)</jtitle><date>2019-12-15</date><risdate>2019</risdate><volume>258</volume><spage>116169</spage><pages>116169-</pages><artnum>116169</artnum><issn>0016-2361</issn><eissn>1873-7153</eissn><abstract>•Permittivity of methanol/gasoline blends determined at 100 kHz.•Measurement uncertainty below 1%.•Cubic dependence with methanol content.•Estimation of methanol content from permittivity and temperature measurements.•Uncertainty estimation below 2% for temperatures between 296 K and 323 K.
The relative permittivity of gasoline/methanol blends was determined at 100 kHz, in the full range of composition, at temperatures between 296 K and 323 K.
From experimental results, permittivity is fitted to a third degree polynomial on methanol content, and, at each composition, the permittivity of blends decreases linearly with temperature.
From the analysis of the experimental data, a model is developed to estimate the relative permittivity as a function of blend composition and temperature. The model fitting is very satisfactory, with an RMS absolute uncertainty of 0.43. The parameters of the model are determined from experimental data for pure gasoline and methanol, and were checked by means of a non-linear fitting using all the experimental data, with very good agreement.
Another model is proposed to estimate the composition of blends from temperature and permittivity measurements. From the comparison to experimental data, the RMS absolute uncertainty of the estimation is below 2%.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.fuel.2019.116169</doi></addata></record> |
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subjects | Blends Composition Dielectric spectroscopy Experimental data Gasoline Methanol Mixtures Parameter uncertainty Permittivity Polynomials Temperature Temperature effects |
title | Permittivity of gasoline/methanol blends. Application to blend composition estimation |
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