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Comparison of Raman and IR spectroscopy for quantitative analysis of gasoline/ethanol blends

机译:拉曼光谱和红外光谱的比较,用于汽油/乙醇混合物的定量分析

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摘要

Ethanol is commonly admixed to petrochemical gasoline, and its amount in the fuel blend can influence the performance of an engine. The ethanol content in a commercial fuel can vary. To ensure reliable engine operation, control strategies based on a measurement of the composition need to be developed. Two possible methods to determine the ethanol content in ethanol/gasoline blends are Raman and IR spectroscopy. We compare both techniques for quantitative measurements in systematically varied blends of ethanol and a gasoline surrogate. For each method, two different approaches for data evaluation are tested and compared: Firstly, the calibration of the intensity ratio of characteristic peaks as function of composition; secondly, a principal component regression (PCR). Both methods are found to have comparable uncertainty. For the evaluation of the Raman spectra, the PCR method yielded better accuracy than the intensity ratio approach. In addition, a detailed investigation of the influence of noise in the signal is presented. When the full IR spectra were evaluated by PCR, even high noise levels did not reduce the measurement accuracy significantly. (C) 2015 Elsevier Ltd. All rights reserved.
机译:乙醇通常与石化汽油混合,其在燃料混合物中的含量会影响发动机的性能。商业燃料中的乙醇含量可以变化。为了确保可靠的发动机运行,需要开发基于成分测量的控制策略。确定乙醇/汽油混合物中乙醇含量的两种可能方法是拉曼光谱和红外光谱。我们比较了两种技术,用于在乙醇和汽油替代品的系统变化混合物中进行定量测量。对于每种方法,都测试和比较了两种不同的数据评估方法:首先,特征峰强度比的标定作为组分的函数;其次是主成分回归(PCR)。发现这两种方法具有相当的不确定性。为了评估拉曼光谱,PCR方法比强度比方法具有更高的准确性。此外,还详细研究了信号中噪声的影响。通过PCR评估完整的红外光谱时,即使高噪声水平也不会显着降低测量精度。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Fuel》 |2016年第15期|488-494|共7页
  • 作者单位

    Univ Aberdeen, Sch Engn, Aberdeen AB24 3UE, Scotland|Univ Dundee, Sch Sci & Engn, SUPA, Dundee DD1 4HN, Scotland;

    Univ Dundee, Sch Sci & Engn, SUPA, Dundee DD1 4HN, Scotland;

    Univ Aberdeen, Sch Engn, Aberdeen AB24 3UE, Scotland|Univ Bremen, Tech Thermodynam, D-28359 Bremen, Germany|Univ Erlangen Nurnberg, Erlangen Grad Sch Adv Opt Technol SAOT, D-91054 Erlangen, Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biofuel; Fossil fuel; Alcohol; Chemometrics; Analysis;

    机译:生物燃料;化石燃料;酒精;化学计量学;分析;

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