Bazı yakıt özelliklerine bağlı olarak çoklu non-linear korelasyonlar yoluyla saf biyodizellerin setan sayılarının tahmin edilmesi

Literatürde saf biyodizellerin setan sayılarını özelliklerine (yağ asidi esterlerinin bileşimi, karbon atomu sayısı, çift bağ sayısı, zincir uzunluğu, sabunlaşma sayısı, iyot değeri, vb.) bağlı olarak tahmin etmek için çoklu doğrusal regresyon, makine öğrenmesi yöntemleri ve grup katkı yöntemleri kullanılmaktadır. Fakat, setan sayısı ile diğer yakıt özellikleri arasındaki ilişki üzerine nispeten sınırlı araştırma bulunmaktadır. Bu nedenle, bu çalışma, yoğunluk, kinematik viskozite, parlama noktası ve ısıl değere bağlı olarak saf biyodizellerin setan sayılarını tahmin etmek için çoklu doğrusal olmayan regresyon yöntemini kullanmayı amaçlamaktadır. Korelasyonları oluşturmak için, 100 farklı biyodizelin (metil ve etil esterler) yakıt özelliklerine ilişkin deneysel veriler literatürden toplanmıştır. Önerilen çoklu non-linear korelasyonların tahmin performansları, literatürde bulunan ve yaygın olarak önerilen çoklu doğrusal korelasyon ile karşılaştırılmıştır. Sonuçlara göre, %5'ten daha düşük bağıl hatalara ve yüksek determinasyon katsayısı (r2) değerlerine sahip olan güvenilir non-linear korelasyonlar elde edilmiştir.

Anahtar Kelimeler:

Alternatif yakıtlar, Biyodizel, Yakıt özellikleri, Setan sayısı, Çoklu doğrusal olmayan regresyon

Estimating cetane numbers of pure biodiesels through multiple non-linear correlations depending on some fuel properties

In the literature, multiple linear regression, machine learning methods, and group contribution methods have been employed to estimate the cetane numbers of pure biodiesels based on their properties (composition of fatty acid esters, number of carbon atoms, number of double bonds, chain length, saponification number, iodine value, etc.). However, there has been relatively limited research on the relationship between cetane number and other fuel properties. Therefore, this study purposes to utilize the multiple non-linear regression method to estimate the cetane numbers of pure biodiesels as functions of the density, kinematic viscosity, flash point, and heating value. To establish correlations, experimental data on the fuel properties of 100 different biodiesels (methyl and ethyl esters) were gathered from the literature. The predictive performances of the proposed multiple non-linear correlations were compared with the commonly recommended multiple linear correlation found in the literature. According to the results, reliable non-linear correlations, having relative errors of less than 5% and high coefficient of determination values (r2) were obtained.

Keywords:

Alternative fuels, Biodiesel, Fuel property, Cetane number, Multiple non-linear regression,

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