Volume 62

Sensitivity Analysis of Component Content to Component Number and Target Properties in Biodiesel Surrogate Fuel Li Jinqiu1, Liang Xingyu1*, He Yongdi1, Lyu Wenzhi2, Cui lei3

Abstract

This study addressed the research gap of lacking sensitivity analysis of component content to component number and target properties during biodiesel model construction. First, gas chromatography-mass spectrometry (GC-MS) and oil physicochemical property testing methods were employed to detect biodiesel’s components and properties, yielding 6 candidate components. Then, the Surrogate Blend Optimization module of CHEMKIN was used to construct 63 models, covering 3-component, 4-component, and 5-component types with 21 target property selection schemes. Results showed the higher the component number, the higher the proportion of sensitive models—rising from 28.27% (3-component) to 85.71% (5-component). Component sensitivity varied by model: in 4-component Model 4-M4 (targets: H/C, vis, LHV, T90), n-tetradecane had the highest sensitivity (43.59%), and increasing its content reduced T90 error to 0.01%. Flexible component adjustment can thus guide accurate model fuel construction.

Keywords Biodiesel, Surrogate fuel, Component content, Physical and chemical properties