This study examines the effects of methanol injection and spray tilt angle on pollutant emissions, employing the standard k-ε and k-ε RNG turbulence models. The models were utilized to simulate combustion in a direct-injection diesel engine operating at 2000 rpm, with injection sprays at 60° and 63° tilt angles. The primary objective was to predict the combustion phenomena and associated pollutant emissions, with an aim towards optimizing engine performance. To this end, a Computational Fluid Dynamics (CFD) model was constructed and validated against experimental data drawn from the literature. The standard k-ε and the k-ε RNG turbulence models were selected for their ability to predict the large-scale structures arising from squish flows, generated by the spray at the given angles. These flow structures play a significant role in predicting pollutant formation, given their sensitivity to local temperatures within the combustion chamber. CFD modelling results reveal a significant impact of the combustion process on engine performance. Increases of approximately 10%, 25%, and 15% were observed in cylinder pressure, heat release, and temperature, respectively. Pollutant emissions also varied, with soot, CO, and HC levels increasing by 40%, 10%, and 60% respectively, and NO, NO2, and NOx levels decreasing by 30%, 10%, and 10%-60%, respectively. The findings suggest that the compressibility flow in the k-ε RNG turbulence model, particularly due to its isotropic term, exerts a notable influence on predicted combustion parameters, especially soot and NOx emissions. Moreover, the study highlights the significant role of methanol injection quantity, spray tilt angle, and turbulence model selection in engine performance, emphasizing the necessity for their careful consideration in engine modeling.