Determination of Crucial Parameters in gasoline blends by using infrared spectroscopy coupled with multivariate calibration methods.
tarafından
 
Sakallı, Fatma Nur, author.

Başlık
Determination of Crucial Parameters in gasoline blends by using infrared spectroscopy coupled with multivariate calibration methods.

Yazar
Sakallı, Fatma Nur, author.

Yazar Ek Girişi
Sakallı, Fatma Nur, author.

Fiziksel Tanımlama
xi, 81 leaves: charts;+ 1 computer laser optical disc.

Özet
In petroleum refineries, converting the manual gasoline blending system to an automatic inline blending system provides the most economical blending in gasoline production, increasing efficiency, and reliability. The most important requirement for an automatic inline blending system is the determination of gasoline parameters in a short time with high reliability. For this purpose, fast and simple analytical methods have been developed to determine crucial parameters of gasoline blends by using Fourier Transform Infrared Spectroscopy (FTIR) coupled with multivariate calibration methods which are Partial Least Squares Regression (PLSR) and Genetic Inverse Least Squares Regression (GILS) for this study. Turkey Petroleum Refinery Incorporated Company (TUPRAS) Izmir Refinery collected all gasoline samples and tested them using reference test methods at Quality Control Laboratory. Since commercial product samples were used in this study, the data ranges of the parameters were quite narrow. The Standard Error of Cross-Validation (SECV) and Standard Error of Prediction (SEP) values were acceptable, although the determintion coefficient (R2) value of some parameters was below the expectation. It has been observed that the prediction results of GILS are better in these parameters, whose R2 value is low because the data range is very narrow. In the comparison made with the reproducibility values specified in the reference measurement methods, it was determined that the calibration model results of most parameters were acceptable. Collecting more samples in a longer time interval to expand the data range of the parameters, or preparing a data set with experimental design can improve the prediction performance.

Konu Başlığı
Gasoline -- Research
 
Infrared spectroscopy

Yazar Ek Girişi
Özdemir, Durmuş,

Tüzel Kişi Ek Girişi
İzmir Institute of Technology. Chemistry.

Tek Biçim Eser Adı
Thesis (Master)--İzmir Institute of Technology:Chemistry.
 
İzmir Institute of Technology: Chemistry --Thesis (Master).

Elektronik Erişim
Access to Electronic Versiyon.


LibraryMateryal TürüDemirbaş NumarasıYer NumarasıDurumu/İade Tarihi
IYTE LibraryTezT002409QD96.I5 S15 2021Tez Koleksiyonu